From bb4876ac331b53d12f18f1815b4c52944cfa88b9 Mon Sep 17 00:00:00 2001 From: Jayraj Dulange <117574289+Deus1704@users.noreply.github.com> Date: Wed, 12 Jun 2024 17:31:44 +0000 Subject: [PATCH 01/68] a better approach to dev --- .../coalignment_interface.py | 192 ++++++++++++++++++ .../defining_method.py | 118 +++++++++++ .../register_method.py | 25 +++ 3 files changed, 335 insertions(+) create mode 100644 sunkit_image/new_coalignment_api_dev/coalignment_interface.py create mode 100644 sunkit_image/new_coalignment_api_dev/defining_method.py create mode 100644 sunkit_image/new_coalignment_api_dev/register_method.py diff --git a/sunkit_image/new_coalignment_api_dev/coalignment_interface.py b/sunkit_image/new_coalignment_api_dev/coalignment_interface.py new file mode 100644 index 00000000..a94e12e4 --- /dev/null +++ b/sunkit_image/new_coalignment_api_dev/coalignment_interface.py @@ -0,0 +1,192 @@ +import warnings + +import astropy.units as u +import numpy as np +import sunpy.map +from skimage.feature import match_template +from sunpy.util.exceptions import SunpyUserWarning + + +############################ Coalignment Interface begins ################################# +@u.quantity_input +def _clip_edges(data, yclips: u.pix, xclips: u.pix): + """ + Clips off the "y" and "x" edges of a 2D array according to a list of pixel + values. This function is useful for removing data at the edge of 2d images + that may be affected by shifts from solar de- rotation and layer co- + registration, leaving an image unaffected by edge effects. + + Parameters + ---------- + data : `numpy.ndarray` + A numpy array of shape ``(ny, nx)``. + yclips : `astropy.units.Quantity` + The amount to clip in the y-direction of the data. Has units of + pixels, and values should be whole non-negative numbers. + xclips : `astropy.units.Quantity` + The amount to clip in the x-direction of the data. Has units of + pixels, and values should be whole non-negative numbers. + + Returns + ------- + `numpy.ndarray` + A 2D image with edges clipped off according to ``yclips`` and ``xclips`` + arrays. + """ + ny = data.shape[0] + nx = data.shape[1] + # The purpose of the int below is to ensure integer type since by default + # astropy quantities are converted to floats. + return data[int(yclips[0].value) : ny - int(yclips[1].value), int(xclips[0].value) : nx - int(xclips[1].value)] + + +@u.quantity_input +def _calculate_clipping(y: u.pix, x: u.pix): + """ + Return the upper and lower clipping values for the "y" and "x" directions. + + Parameters + ---------- + y : `astropy.units.Quantity` + An array of pixel shifts in the y-direction for an image. + x : `astropy.units.Quantity` + An array of pixel shifts in the x-direction for an image. + + Returns + ------- + `tuple` + The tuple is of the form ``([y0, y1], [x0, x1])``. + The number of (integer) pixels that need to be clipped off at each + edge in an image. The first element in the tuple is a list that gives + the number of pixels to clip in the y-direction. The first element in + that list is the number of rows to clip at the lower edge of the image + in y. The clipped image has "clipping[0][0]" rows removed from its + lower edge when compared to the original image. The second element in + that list is the number of rows to clip at the upper edge of the image + in y. The clipped image has "clipping[0][1]" rows removed from its + upper edge when compared to the original image. The second element in + the "clipping" tuple applies similarly to the x-direction (image + columns). The parameters ``y0, y1, x0, x1`` have the type + `~astropy.units.Quantity`. + """ + return ( + [_lower_clip(y.value), _upper_clip(y.value)] * u.pix, + [_lower_clip(x.value), _upper_clip(x.value)] * u.pix, + ) + + +def _upper_clip(z): + """ + Find smallest integer bigger than all the positive entries in the input + array. + """ + zupper = 0 + zcond = z >= 0 + if np.any(zcond): + zupper = int(np.max(np.ceil(z[zcond]))) + return zupper + + +def _lower_clip(z): + """ + Find smallest positive integer bigger than the absolute values of the + negative entries in the input array. + """ + zlower = 0 + zcond = z <= 0 + if np.any(zcond): + zlower = int(np.max(np.ceil(-z[zcond]))) + return zlower + + +def convert_array_to_map(array_obj, map_obj): + """ + Convert a 2D numpy array to a sunpy Map object using the header of a given + map object. + + Parameters + ---------- + array_obj : `numpy.ndarray` + The 2D numpy array to be converted. + map_obj : `sunpy.map.Map` + The map object whose header is to be used for the new map. + + Returns + ------- + `sunpy.map.Map` + A new sunpy map object with the data from `array_obj` and the header from `map_obj`. + """ + header = map_obj.meta.copy() + header["crpix1"] -= array_obj.shape[1] / 2.0 - map_obj.data.shape[1] / 2.0 + header["crpix2"] -= array_obj.shape[0] / 2.0 - map_obj.data.shape[0] / 2.0 + return sunpy.map.Map(array_obj, header) + + +def coalignment_interface(method, input_map, template_map, handle_nan=None): + """ + Interface for performing image coalignment using a specified method. + + Parameters + ---------- + method : str + The name of the registered coalignment method to use. + input_map : `sunpy.map.Map` + The input map to be coaligned. + template_map : `sunpy.map.Map` + The template map to which the input map is to be coaligned. + handle_nan : callable, optional + Function to handle NaN values in the input and template arrays. + + Returns + ------- + `sunpy.map.Map` + The coaligned input map. + + Raises + ------ + ValueError + If the specified method is not registered. + """ + if method not in registered_methods: + msg = f"Method {method} is not a registered method. Please register before using." + raise ValueError(msg) + input_array = np.float64(input_map.data) + template_array = np.float64(template_map.data) + + # Warn user if any NANs, Infs, etc are present in the input or the template array + if not np.all(np.isfinite(input_array)): + if not handle_nan: + warnings.warn( + "The layer image has nonfinite entries. " + "This could cause errors when calculating shift between two " + "images. Please make sure there are no infinity or " + "Not a Number values. For instance, replacing them with a " + "local mean.", + SunpyUserWarning, + stacklevel=3, + ) + else: + input_array = handle_nan(input_array) + + if not np.all(np.isfinite(template_array)): + if not handle_nan: + warnings.warn( + "The template image has nonfinite entries. " + "This could cause errors when calculating shift between two " + "images. Please make sure there are no infinity or " + "Not a Number values. For instance, replacing them with a " + "local mean.", + SunpyUserWarning, + stacklevel=3, + ) + else: + template_array = handle_nan(template_array) + + shifts = registered_methods[method](input_array, template_array) + # Calculate the clipping required + yclips, xclips = _calculate_clipping(shifts["x"] * u.pix, shifts["y"] * u.pix) + # Clip 'em + coaligned_input_array = _clip_edges(input_array, yclips, xclips) + return convert_array_to_map(coaligned_input_array, input_map) + +######################################## Coalignment interface ends ################## diff --git a/sunkit_image/new_coalignment_api_dev/defining_method.py b/sunkit_image/new_coalignment_api_dev/defining_method.py new file mode 100644 index 00000000..8bcb781a --- /dev/null +++ b/sunkit_image/new_coalignment_api_dev/defining_method.py @@ -0,0 +1,118 @@ +import warnings + +import astropy.units as u +import numpy as np +import sunpy.map +from skimage.feature import match_template +from sunpy.util.exceptions import SunpyUserWarning + +######################################## Defining a method ########################### +def _parabolic_turning_point(y): + """ + Calculate the turning point of a parabola given three points. + + Parameters + ---------- + y : `numpy.ndarray` + An array of three points defining the parabola. + + Returns + ------- + float + The x-coordinate of the turning point. + """ + numerator = -0.5 * y.dot([-1, 0, 1]) + denominator = y.dot([1, -2, 1]) + return numerator / denominator + + +def _get_correlation_shifts(array): + """ + Calculate the shifts in x and y directions based on the correlation array. + + Parameters + ---------- + array : `numpy.ndarray` + A 2D array representing the correlation values. + + Returns + ------- + tuple + The shifts in y and x directions. + + Raises + ------ + ValueError + If the input array dimensions are greater than 3 in any direction. + """ + ny, nx = array.shape + if nx > 3 or ny > 3: + msg = "Input array dimension should not be greater than 3 in any dimension." + raise ValueError(msg) + + ij = np.unravel_index(np.argmax(array), array.shape) + x_max_location, y_max_location = ij[::-1] + + y_location = _parabolic_turning_point(array[:, x_max_location]) if ny == 3 else 1.0 * y_max_location + x_location = _parabolic_turning_point(array[y_max_location, :]) if nx == 3 else 1.0 * x_max_location + + return y_location, x_location + + +def _find_best_match_location(corr): + """ + Find the best match location in the correlation array. + + Parameters + ---------- + corr : `numpy.ndarray` + The correlation array. + + Returns + ------- + tuple + The best match location in the y and x directions. + """ + ij = np.unravel_index(np.argmax(corr), corr.shape) + cor_max_x, cor_max_y = ij[::-1] + + array_maximum = corr[ + max(0, cor_max_y - 1) : min(cor_max_y + 2, corr.shape[0] - 1), + max(0, cor_max_x - 1) : min(cor_max_x + 2, corr.shape[1] - 1), + ] + + y_shift_maximum, x_shift_maximum = _get_correlation_shifts(array_maximum) + + y_shift_correlation_array = y_shift_maximum + cor_max_y + x_shift_correlation_array = x_shift_maximum + cor_max_x + + return y_shift_correlation_array, x_shift_correlation_array + + +def match_template_coalign(input_array, template_array): + """ + Perform coalignment by matching the template array to the input array. + + Parameters + ---------- + input_array : `numpy.ndarray` + The input 2D array to be coaligned. + template_array : `numpy.ndarray` + The template 2D array to align to. + + Returns + ------- + dict + A dictionary containing the shifts in x and y directions. + """ + corr = match_template(input_array, template_array) + + # Find the best match location + y_shift, x_shift = _find_best_match_location(corr) + + # Apply the shift to get the coaligned input array + return {"x": x_shift, "y": y_shift} + + +################################ Registering the defined method ######################## +register_coalignment_method("match_template", match_template_coalign) \ No newline at end of file diff --git a/sunkit_image/new_coalignment_api_dev/register_method.py b/sunkit_image/new_coalignment_api_dev/register_method.py new file mode 100644 index 00000000..647d06cf --- /dev/null +++ b/sunkit_image/new_coalignment_api_dev/register_method.py @@ -0,0 +1,25 @@ +import warnings + +import astropy.units as u +import numpy as np +import sunpy.map +from skimage.feature import match_template +from sunpy.util.exceptions import SunpyUserWarning + + +## This dictionary will be further replaced in a more appropriate location, once the decorator structure is in place. +registered_methods = {} + + +def register_coalignment_method(name, method): + """ + Registers a coalignment method to be used by the coalignment interface. + + Parameters + ---------- + name : str + The name of the coalignment method. + method : callable + The function implementing the coalignment method. + """ + registered_methods[name] = method From 08a0ff9bcf0cf153129e0bad943a6f0e56f5b254 Mon Sep 17 00:00:00 2001 From: Deus1704 Date: Wed, 19 Jun 2024 16:26:10 +0530 Subject: [PATCH 02/68] added decorator and incorporated suggestions --- sunkit_image/coalignment/__init__.py | 0 sunkit_image/coalignment/interface.py | 93 ++++++++++ .../match_template.py} | 159 ++++++++++-------- sunkit_image/coalignment/util/decorators.py | 21 +++ .../defining_method.py | 118 ------------- .../register_method.py | 25 --- 6 files changed, 202 insertions(+), 214 deletions(-) create mode 100644 sunkit_image/coalignment/__init__.py create mode 100644 sunkit_image/coalignment/interface.py rename sunkit_image/{new_coalignment_api_dev/coalignment_interface.py => coalignment/match_template.py} (52%) create mode 100644 sunkit_image/coalignment/util/decorators.py delete mode 100644 sunkit_image/new_coalignment_api_dev/defining_method.py delete mode 100644 sunkit_image/new_coalignment_api_dev/register_method.py diff --git a/sunkit_image/coalignment/__init__.py b/sunkit_image/coalignment/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/sunkit_image/coalignment/interface.py b/sunkit_image/coalignment/interface.py new file mode 100644 index 00000000..bd7267dd --- /dev/null +++ b/sunkit_image/coalignment/interface.py @@ -0,0 +1,93 @@ +import warnings + +import numpy as np +import sunpy.map +from sunpy.util.exceptions import SunpyUserWarning + +from sunkit_image.coalignment.util.decorators import registered_methods + +__all__ = ["coalignment"] + + +def convert_array_to_map(array_obj, map_obj): + """ + Convert a 2D numpy array to a sunpy Map object using the header of a given + map object. + + Parameters + ---------- + array_obj : `numpy.ndarray` + The 2D numpy array to be converted. + map_obj : `sunpy.map.Map` + The map object whose header is to be used for the new map. + + Returns + ------- + `sunpy.map.Map` + A new sunpy map object with the data from `array_obj` and the header from `map_obj`. + """ + header = map_obj.meta.copy() + header["crpix1"] -= array_obj.shape[1] / 2.0 - map_obj.data.shape[1] / 2.0 + header["crpix2"] -= array_obj.shape[0] / 2.0 - map_obj.data.shape[0] / 2.0 + return sunpy.map.Map(array_obj, header) + + +def warn_user_of_nan(array, name): + """ + Warn the user if there are NaN values in the input array. + + Parameters + ---------- + array : `numpy.ndarray` + The input array to be checked for NaN values. + """ + if not np.all(np.isfinite(array)): + warnings.warn( + f"The {name} map has nonfinite entries. " + "This could cause errors when calculating shift between two " + "images. Please make sure there are no infinity or " + "Not a Number values. For instance, replacing them with a " + "local mean.", + SunpyUserWarning, + stacklevel=3, + ) + + +def coalignment(reference_map, target_map, method): + """ + Interface for performing image coalignment using a specified method. + + Parameters + ---------- + method : str + The name of the registered coalignment method to use. + input_map : `sunpy.map.Map` + The input map to be coaligned. + template_map : `sunpy.map.Map` + The template map to which the input map is to be coaligned. + handle_nan : callable, optional + Function to handle NaN values in the input and template arrays. + + Returns + ------- + `sunpy.map.Map` + The coaligned input map. + + Raises + ------ + ValueError + If the specified method is not registered. + """ + if method not in registered_methods: + msg = f"Method {method} is not a registered method. Please register before using." + raise ValueError(msg) + target_array = np.float64(target_map.data) + reference_array = np.float64(reference_map.data) + + # Warn user if any NANs, Infs, etc are present in the input or the template array + warn_user_of_nan(target_array, "target") + warn_user_of_nan(reference_array, "reference") + + coalign_output = registered_methods[method](target_array, reference_array) + + return convert_array_to_map(coalign_output["coaligned_array"], target_map) diff --git a/sunkit_image/new_coalignment_api_dev/coalignment_interface.py b/sunkit_image/coalignment/match_template.py similarity index 52% rename from sunkit_image/new_coalignment_api_dev/coalignment_interface.py rename to sunkit_image/coalignment/match_template.py index a94e12e4..38b5c459 100644 --- a/sunkit_image/new_coalignment_api_dev/coalignment_interface.py +++ b/sunkit_image/coalignment/match_template.py @@ -1,13 +1,12 @@ -import warnings - import astropy.units as u import numpy as np -import sunpy.map from skimage.feature import match_template -from sunpy.util.exceptions import SunpyUserWarning + +from sunkit_image.coalignment.util.decorators import register_coalignment_method + +__all__ = ["match_template_coalign"] -############################ Coalignment Interface begins ################################# @u.quantity_input def _clip_edges(data, yclips: u.pix, xclips: u.pix): """ @@ -99,94 +98,112 @@ def _lower_clip(z): return zlower -def convert_array_to_map(array_obj, map_obj): +def _parabolic_turning_point(y): """ - Convert a 2D numpy array to a sunpy Map object using the header of a given - map object. + Calculate the turning point of a parabola given three points. Parameters ---------- - array_obj : `numpy.ndarray` - The 2D numpy array to be converted. - map_obj : `sunpy.map.Map` - The map object whose header is to be used for the new map. + y : `numpy.ndarray` + An array of three points defining the parabola. Returns ------- - `sunpy.map.Map` - A new sunpy map object with the data from `array_obj` and the header from `map_obj`. + float + The x-coordinate of the turning point. """ - header = map_obj.meta.copy() - header["crpix1"] -= array_obj.shape[1] / 2.0 - map_obj.data.shape[1] / 2.0 - header["crpix2"] -= array_obj.shape[0] / 2.0 - map_obj.data.shape[0] / 2.0 - return sunpy.map.Map(array_obj, header) + numerator = -0.5 * y.dot([-1, 0, 1]) + denominator = y.dot([1, -2, 1]) + return numerator / denominator -def coalignment_interface(method, input_map, template_map, handle_nan=None): +def _get_correlation_shifts(array): """ - Interface for performing image coalignment using a specified method. + Calculate the shifts in x and y directions based on the correlation array. Parameters ---------- - method : str - The name of the registered coalignment method to use. - input_map : `sunpy.map.Map` - The input map to be coaligned. - template_map : `sunpy.map.Map` - The template map to which the input map is to be coaligned. - handle_nan : callable, optional - Function to handle NaN values in the input and template arrays. + array : `numpy.ndarray` + A 2D array representing the correlation values. Returns ------- - `sunpy.map.Map` - The coaligned input map. + tuple + The shifts in y and x directions. Raises ------ ValueError - If the specified method is not registered. + If the input array dimensions are greater than 3 in any direction. """ - if method not in registered_methods: - msg = f"Method {method} is not a registered method. Please register before using." + ny, nx = array.shape + if nx > 3 or ny > 3: + msg = "Input array dimension should not be greater than 3 in any dimension." raise ValueError(msg) - input_array = np.float64(input_map.data) - template_array = np.float64(template_map.data) - - # Warn user if any NANs, Infs, etc are present in the input or the template array - if not np.all(np.isfinite(input_array)): - if not handle_nan: - warnings.warn( - "The layer image has nonfinite entries. " - "This could cause errors when calculating shift between two " - "images. Please make sure there are no infinity or " - "Not a Number values. For instance, replacing them with a " - "local mean.", - SunpyUserWarning, - stacklevel=3, - ) - else: - input_array = handle_nan(input_array) - - if not np.all(np.isfinite(template_array)): - if not handle_nan: - warnings.warn( - "The template image has nonfinite entries. " - "This could cause errors when calculating shift between two " - "images. Please make sure there are no infinity or " - "Not a Number values. For instance, replacing them with a " - "local mean.", - SunpyUserWarning, - stacklevel=3, - ) - else: - template_array = handle_nan(template_array) - - shifts = registered_methods[method](input_array, template_array) + + ij = np.unravel_index(np.argmax(array), array.shape) + x_max_location, y_max_location = ij[::-1] + + y_location = _parabolic_turning_point(array[:, x_max_location]) if ny == 3 else 1.0 * y_max_location + x_location = _parabolic_turning_point(array[y_max_location, :]) if nx == 3 else 1.0 * x_max_location + + return y_location, x_location + + +def _find_best_match_location(corr): + """ + Find the best match location in the correlation array. + + Parameters + ---------- + corr : `numpy.ndarray` + The correlation array. + + Returns + ------- + tuple + The best match location in the y and x directions. + """ + ij = np.unravel_index(np.argmax(corr), corr.shape) + cor_max_x, cor_max_y = ij[::-1] + + array_maximum = corr[ + max(0, cor_max_y - 1) : min(cor_max_y + 2, corr.shape[0] - 1), + max(0, cor_max_x - 1) : min(cor_max_x + 2, corr.shape[1] - 1), + ] + + y_shift_maximum, x_shift_maximum = _get_correlation_shifts(array_maximum) + + y_shift_correlation_array = y_shift_maximum + cor_max_y + x_shift_correlation_array = x_shift_maximum + cor_max_x + + return y_shift_correlation_array, x_shift_correlation_array + + +@register_coalignment_method("match_template") +def match_template_coalign(input_array, template_array): + """ + Perform coalignment by matching the template array to the input array. + + Parameters + ---------- + input_array : `numpy.ndarray` + The input 2D array to be coaligned. + template_array : `numpy.ndarray` + The template 2D array to align to. + + Returns + ------- + dict + A dictionary containing the shifts in x and y directions. + """ + corr = match_template(input_array, template_array) + + # Find the best match location + y_shift, x_shift = _find_best_match_location(corr) # Calculate the clipping required - yclips, xclips = _calculate_clipping(shifts["x"] * u.pix, shifts["y"] * u.pix) + yclips, xclips = _calculate_clipping(x_shift * u.pix, y_shift * u.pix) # Clip 'em - coaligned_input_array = _clip_edges(input_array, yclips, xclips) - return convert_array_to_map(coaligned_input_array, input_map) - -######################################## Coalignment interface ends ################## + coaligned_target_array = _clip_edges(input_array, yclips, xclips) + # Apply the shift to get the coaligned input array + return {"shifts": {"x": x_shift, "y": y_shift}, "coaligned_array": coaligned_target_array} diff --git a/sunkit_image/coalignment/util/decorators.py b/sunkit_image/coalignment/util/decorators.py new file mode 100644 index 00000000..8d4cff0f --- /dev/null +++ b/sunkit_image/coalignment/util/decorators.py @@ -0,0 +1,21 @@ +__all__ = ["register_coalignment_method", "registered_methods"] + +# Global Dictionary to store the registered methods and their names +registered_methods = {} + + +def register_coalignment_method(name): + """ + Registers a coalignment method to be used by the coalignment interface. + + Parameters + ---------- + name : str + The name of the coalignment method. + """ + + def decorator(func): + registered_methods[name] = func + return func + + return decorator diff --git a/sunkit_image/new_coalignment_api_dev/defining_method.py b/sunkit_image/new_coalignment_api_dev/defining_method.py deleted file mode 100644 index 8bcb781a..00000000 --- a/sunkit_image/new_coalignment_api_dev/defining_method.py +++ /dev/null @@ -1,118 +0,0 @@ -import warnings - -import astropy.units as u -import numpy as np -import sunpy.map -from skimage.feature import match_template -from sunpy.util.exceptions import SunpyUserWarning - -######################################## Defining a method ########################### -def _parabolic_turning_point(y): - """ - Calculate the turning point of a parabola given three points. - - Parameters - ---------- - y : `numpy.ndarray` - An array of three points defining the parabola. - - Returns - ------- - float - The x-coordinate of the turning point. - """ - numerator = -0.5 * y.dot([-1, 0, 1]) - denominator = y.dot([1, -2, 1]) - return numerator / denominator - - -def _get_correlation_shifts(array): - """ - Calculate the shifts in x and y directions based on the correlation array. - - Parameters - ---------- - array : `numpy.ndarray` - A 2D array representing the correlation values. - - Returns - ------- - tuple - The shifts in y and x directions. - - Raises - ------ - ValueError - If the input array dimensions are greater than 3 in any direction. - """ - ny, nx = array.shape - if nx > 3 or ny > 3: - msg = "Input array dimension should not be greater than 3 in any dimension." - raise ValueError(msg) - - ij = np.unravel_index(np.argmax(array), array.shape) - x_max_location, y_max_location = ij[::-1] - - y_location = _parabolic_turning_point(array[:, x_max_location]) if ny == 3 else 1.0 * y_max_location - x_location = _parabolic_turning_point(array[y_max_location, :]) if nx == 3 else 1.0 * x_max_location - - return y_location, x_location - - -def _find_best_match_location(corr): - """ - Find the best match location in the correlation array. - - Parameters - ---------- - corr : `numpy.ndarray` - The correlation array. - - Returns - ------- - tuple - The best match location in the y and x directions. - """ - ij = np.unravel_index(np.argmax(corr), corr.shape) - cor_max_x, cor_max_y = ij[::-1] - - array_maximum = corr[ - max(0, cor_max_y - 1) : min(cor_max_y + 2, corr.shape[0] - 1), - max(0, cor_max_x - 1) : min(cor_max_x + 2, corr.shape[1] - 1), - ] - - y_shift_maximum, x_shift_maximum = _get_correlation_shifts(array_maximum) - - y_shift_correlation_array = y_shift_maximum + cor_max_y - x_shift_correlation_array = x_shift_maximum + cor_max_x - - return y_shift_correlation_array, x_shift_correlation_array - - -def match_template_coalign(input_array, template_array): - """ - Perform coalignment by matching the template array to the input array. - - Parameters - ---------- - input_array : `numpy.ndarray` - The input 2D array to be coaligned. - template_array : `numpy.ndarray` - The template 2D array to align to. - - Returns - ------- - dict - A dictionary containing the shifts in x and y directions. - """ - corr = match_template(input_array, template_array) - - # Find the best match location - y_shift, x_shift = _find_best_match_location(corr) - - # Apply the shift to get the coaligned input array - return {"x": x_shift, "y": y_shift} - - -################################ Registering the defined method ######################## -register_coalignment_method("match_template", match_template_coalign) \ No newline at end of file diff --git a/sunkit_image/new_coalignment_api_dev/register_method.py b/sunkit_image/new_coalignment_api_dev/register_method.py deleted file mode 100644 index 647d06cf..00000000 --- a/sunkit_image/new_coalignment_api_dev/register_method.py +++ /dev/null @@ -1,25 +0,0 @@ -import warnings - -import astropy.units as u -import numpy as np -import sunpy.map -from skimage.feature import match_template -from sunpy.util.exceptions import SunpyUserWarning - - -## This dictionary will be further replaced in a more appropriate location, once the decorator structure is in place. -registered_methods = {} - - -def register_coalignment_method(name, method): - """ - Registers a coalignment method to be used by the coalignment interface. - - Parameters - ---------- - name : str - The name of the coalignment method. - method : callable - The function implementing the coalignment method. - """ - registered_methods[name] = method From f25076b5d078ad5b8aec2599ac9b6fee2d60f9e8 Mon Sep 17 00:00:00 2001 From: Deus1704 Date: Fri, 21 Jun 2024 00:59:40 +0530 Subject: [PATCH 03/68] updated the docstring --- sunkit_image/coalignment/interface.py | 18 +++++++++--------- sunkit_image/coalignment/match_template.py | 2 +- 2 files changed, 10 insertions(+), 10 deletions(-) diff --git a/sunkit_image/coalignment/interface.py b/sunkit_image/coalignment/interface.py index bd7267dd..f7e13b10 100644 --- a/sunkit_image/coalignment/interface.py +++ b/sunkit_image/coalignment/interface.py @@ -34,12 +34,14 @@ def convert_array_to_map(array_obj, map_obj): def warn_user_of_nan(array, name): """ - Warn the user if there are NaN values in the input array. + Issues a warning if there are NaN values in the input array. Parameters ---------- array : `numpy.ndarray` The input array to be checked for NaN values. + name : str + The name of the array, used in the warning message. """ if not np.all(np.isfinite(array)): warnings.warn( @@ -55,23 +57,21 @@ def warn_user_of_nan(array, name): def coalignment(reference_map, target_map, method): """ - Interface for performing image coalignment using a specified method. + Performs image coalignment using a specified method. Parameters ---------- + reference_map : `sunpy.map.Map` + The reference map to which the target map is to be coaligned. + target_map : `sunpy.map.Map` + The target map to be coaligned to the reference map. method : str The name of the registered coalignment method to use. - input_map : `sunpy.map.Map` - The input map to be coaligned. - template_map : `sunpy.map.Map` - The template map to which the input map is to be coaligned. - handle_nan : callable, optional - Function to handle NaN values in the input and template arrays. Returns ------- `sunpy.map.Map` - The coaligned input map. + The coaligned target map. Raises ------ diff --git a/sunkit_image/coalignment/match_template.py b/sunkit_image/coalignment/match_template.py index 38b5c459..55c6d999 100644 --- a/sunkit_image/coalignment/match_template.py +++ b/sunkit_image/coalignment/match_template.py @@ -195,7 +195,7 @@ def match_template_coalign(input_array, template_array): Returns ------- dict - A dictionary containing the shifts in x and y directions. + A dictionary containing the shifts in x and y directions and the coaligned array. """ corr = match_template(input_array, template_array) From 98c384e4ac3158089c41c033d3830f8d49dea13c Mon Sep 17 00:00:00 2001 From: Deus1704 Date: Fri, 21 Jun 2024 20:34:41 +0530 Subject: [PATCH 04/68] added tests for majority of all funcs --- .../__init__.py | 0 .../interface.py | 6 +- .../match_template.py | 4 +- .../coalignment_module/tests/__init__.py | 0 .../coalignment_module/tests/conftest.py | 46 ++++++++++ .../tests/test_coalignment.py | 26 ++++++ .../tests/test_match_template.py | 83 +++++++++++++++++++ .../coalignment_module/util/__init__.py | 0 .../util/decorators.py | 0 .../coalignment_module/util/tests/__init__.py | 0 .../util/tests/test_decorators.py | 11 +++ 11 files changed, 171 insertions(+), 5 deletions(-) rename sunkit_image/{coalignment => coalignment_module}/__init__.py (100%) rename sunkit_image/{coalignment => coalignment_module}/interface.py (94%) rename sunkit_image/{coalignment => coalignment_module}/match_template.py (97%) create mode 100644 sunkit_image/coalignment_module/tests/__init__.py create mode 100644 sunkit_image/coalignment_module/tests/conftest.py create mode 100644 sunkit_image/coalignment_module/tests/test_coalignment.py create mode 100644 sunkit_image/coalignment_module/tests/test_match_template.py create mode 100644 sunkit_image/coalignment_module/util/__init__.py rename sunkit_image/{coalignment => coalignment_module}/util/decorators.py (100%) create mode 100644 sunkit_image/coalignment_module/util/tests/__init__.py create mode 100644 sunkit_image/coalignment_module/util/tests/test_decorators.py diff --git a/sunkit_image/coalignment/__init__.py b/sunkit_image/coalignment_module/__init__.py similarity index 100% rename from sunkit_image/coalignment/__init__.py rename to sunkit_image/coalignment_module/__init__.py diff --git a/sunkit_image/coalignment/interface.py b/sunkit_image/coalignment_module/interface.py similarity index 94% rename from sunkit_image/coalignment/interface.py rename to sunkit_image/coalignment_module/interface.py index f7e13b10..a1a590db 100644 --- a/sunkit_image/coalignment/interface.py +++ b/sunkit_image/coalignment_module/interface.py @@ -4,7 +4,7 @@ import sunpy.map from sunpy.util.exceptions import SunpyUserWarning -from sunkit_image.coalignment.util.decorators import registered_methods +from sunkit_image.coalignment_module.util.decorators import registered_methods __all__ = ["coalignment"] @@ -81,8 +81,8 @@ def coalignment(reference_map, target_map, method): if method not in registered_methods: msg = f"Method {method} is not a registered method. Please register before using." raise ValueError(msg) - target_array = np.float64(target_map.data) - reference_array = np.float64(reference_map.data) + target_array = target_map.data + reference_array = reference_map.data # Warn user if any NANs, Infs, etc are present in the input or the template array warn_user_of_nan(target_array, "target") diff --git a/sunkit_image/coalignment/match_template.py b/sunkit_image/coalignment_module/match_template.py similarity index 97% rename from sunkit_image/coalignment/match_template.py rename to sunkit_image/coalignment_module/match_template.py index 55c6d999..de86021e 100644 --- a/sunkit_image/coalignment/match_template.py +++ b/sunkit_image/coalignment_module/match_template.py @@ -2,7 +2,7 @@ import numpy as np from skimage.feature import match_template -from sunkit_image.coalignment.util.decorators import register_coalignment_method +from sunkit_image.coalignment_module.util.decorators import register_coalignment_method __all__ = ["match_template_coalign"] @@ -197,7 +197,7 @@ def match_template_coalign(input_array, template_array): dict A dictionary containing the shifts in x and y directions and the coaligned array. """ - corr = match_template(input_array, template_array) + corr = match_template(np.float64(input_array), np.float64(template_array)) # Find the best match location y_shift, x_shift = _find_best_match_location(corr) diff --git a/sunkit_image/coalignment_module/tests/__init__.py b/sunkit_image/coalignment_module/tests/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/sunkit_image/coalignment_module/tests/conftest.py b/sunkit_image/coalignment_module/tests/conftest.py new file mode 100644 index 00000000..1bf39b6a --- /dev/null +++ b/sunkit_image/coalignment_module/tests/conftest.py @@ -0,0 +1,46 @@ +from pathlib import Path + +import numpy as np +import pytest +import sunpy.data.test + + +@pytest.fixture() +def aia171_test_clipping(): + return np.asarray([0.2, -0.3, -1.0001]) + + +@pytest.fixture() +def aia171_test_map(): + testpath = sunpy.data.test.rootdir + return sunpy.map.Map(Path(testpath) / "aia_171_level1.fits") + + +@pytest.fixture() +def aia171_test_shift(): + return np.array([3, 5]) + + +@pytest.fixture() +def aia171_test_map_layer(aia171_test_map): + return aia171_test_map.data.astype("float32") # SciPy 1.4 requires at least 16-bit floats + + +@pytest.fixture() +def aia171_test_map_layer_shape(aia171_test_map_layer): + return aia171_test_map_layer.shape + + +@pytest.fixture() +def aia171_test_template(aia171_test_shift, aia171_test_map_layer, aia171_test_map_layer_shape): + # Test template + a1 = aia171_test_shift[0] + aia171_test_map_layer_shape[0] // 4 + a2 = aia171_test_shift[0] + 3 * aia171_test_map_layer_shape[0] // 4 + b1 = aia171_test_shift[1] + aia171_test_map_layer_shape[1] // 4 + b2 = aia171_test_shift[1] + 3 * aia171_test_map_layer_shape[1] // 4 + return aia171_test_map_layer[a1:a2, b1:b2] + + +@pytest.fixture() +def aia171_test_template_shape(aia171_test_template): + return aia171_test_template.shape diff --git a/sunkit_image/coalignment_module/tests/test_coalignment.py b/sunkit_image/coalignment_module/tests/test_coalignment.py new file mode 100644 index 00000000..4dfbe259 --- /dev/null +++ b/sunkit_image/coalignment_module/tests/test_coalignment.py @@ -0,0 +1,26 @@ +import astropy.units as u +import numpy as np +import pytest +from scipy.ndimage import shift as sp_shift +from sunpy.map import Map + + +@pytest.fixture() +def aia171_test_mc_pixel_displacements(): + return np.asarray([1.6, 10.1]) + + +@pytest.fixture() +def aia171_mc_arcsec_displacements(aia171_test_mc_pixel_displacements, aia171_test_map): + return { + "x": np.asarray([0.0, aia171_test_mc_pixel_displacements[1] * aia171_test_map.scale[0].value]) * u.arcsec, + "y": np.asarray([0.0, aia171_test_mc_pixel_displacements[0] * aia171_test_map.scale[1].value]) * u.arcsec, + } + + +@pytest.fixture() +def aia171_test_shifted_map(aia171_test_map, aia171_test_map_layer, aia171_test_mc_pixel_displacements): + # Create a map that has been shifted a known amount. + d1 = sp_shift(aia171_test_map_layer, aia171_test_mc_pixel_displacements) + # return the map + return Map(d1, aia171_test_map.meta) diff --git a/sunkit_image/coalignment_module/tests/test_match_template.py b/sunkit_image/coalignment_module/tests/test_match_template.py new file mode 100644 index 00000000..344d2a44 --- /dev/null +++ b/sunkit_image/coalignment_module/tests/test_match_template.py @@ -0,0 +1,83 @@ +import astropy.units as u +import numpy as np +import pytest +from numpy.testing import assert_allclose, assert_array_almost_equal +from skimage.feature import match_template + +from sunkit_image.coalignment_module.match_template import ( + _calculate_clipping, + _clip_edges, + _find_best_match_location, + _get_correlation_shifts, + _lower_clip, + _parabolic_turning_point, + _upper_clip, +) + + +def test_parabolic_turning_point(): + assert _parabolic_turning_point(np.asarray([6.0, 2.0, 0.0])) == 1.5 + + +def test_get_correlation_shifts(): + # Input array is 3 by 3, the most common case + test_array = np.zeros((3, 3)) + test_array[1, 1] = 1 + test_array[2, 1] = 0.6 + test_array[1, 2] = 0.2 + y_test, x_test = _get_correlation_shifts(test_array) + assert_allclose(y_test, 0.214285714286, rtol=1e-2, atol=0) + assert_allclose(x_test, 0.0555555555556, rtol=1e-2, atol=0) + + # Input array is smaller in one direction than the other. + test_array = np.zeros((2, 2)) + test_array[0, 0] = 0.1 + test_array[0, 1] = 0.2 + test_array[1, 0] = 0.4 + test_array[1, 1] = 0.3 + y_test, x_test = _get_correlation_shifts(test_array) + assert_allclose(y_test, 1.0, rtol=1e-2, atol=0) + assert_allclose(x_test, 0.0, rtol=1e-2, atol=0) + + # Input array is too big in either direction + test_array = np.zeros((4, 3)) + with pytest.raises(ValueError, match="Input array dimension should not be greater than 3 in any dimension."): + _get_correlation_shifts(test_array) + + test_array = np.zeros((3, 4)) + with pytest.raises(ValueError, match="Input array dimension should not be greater than 3 in any dimension."): + _get_correlation_shifts(test_array) + + +def test_find_best_match_location(aia171_test_map_layer, aia171_test_template, aia171_test_shift): + result = match_template(aia171_test_map_layer, aia171_test_template) + match_location = u.Quantity(_find_best_match_location(result)) + assert_allclose(match_location.value, np.array(result.shape) / 2.0 - 0.5 + aia171_test_shift, rtol=1e-3, atol=0) + + +def test_lower_clip(aia171_test_clipping): + # No element is less than zero + test_array = np.asarray([1.1, 0.1, 3.0]) + assert _lower_clip(test_array) == 0 + assert _lower_clip(aia171_test_clipping) == 2.0 + + +def test_upper_clip(aia171_test_clipping): + assert _upper_clip(aia171_test_clipping) == 1.0 + # No element is greater than zero + test_array = np.asarray([-1.1, -0.1, -3.0]) + assert _upper_clip(test_array) == 0 + + +def test_calculate_clipping(aia171_test_clipping): + answer = _calculate_clipping(aia171_test_clipping * u.pix, aia171_test_clipping * u.pix) + assert_array_almost_equal(answer, ([2.0, 1.0] * u.pix, [2.0, 1.0] * u.pix)) + + +def test_clip_edges(): + a = np.zeros(shape=(341, 156)) + yclip = [4, 0] * u.pix + xclip = [1, 2] * u.pix + new_a = _clip_edges(a, yclip, xclip) + assert a.shape[0] - (yclip[0].value + yclip[1].value) == new_a.shape[0] + assert a.shape[1] - (xclip[0].value + xclip[1].value) == new_a.shape[1] diff --git a/sunkit_image/coalignment_module/util/__init__.py b/sunkit_image/coalignment_module/util/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/sunkit_image/coalignment/util/decorators.py b/sunkit_image/coalignment_module/util/decorators.py similarity index 100% rename from sunkit_image/coalignment/util/decorators.py rename to sunkit_image/coalignment_module/util/decorators.py diff --git a/sunkit_image/coalignment_module/util/tests/__init__.py b/sunkit_image/coalignment_module/util/tests/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/sunkit_image/coalignment_module/util/tests/test_decorators.py b/sunkit_image/coalignment_module/util/tests/test_decorators.py new file mode 100644 index 00000000..5f3371f2 --- /dev/null +++ b/sunkit_image/coalignment_module/util/tests/test_decorators.py @@ -0,0 +1,11 @@ +from sunkit_image.coalignment_module.util.decorators import register_coalignment_method, registered_methods + + +def test_register_coalignment_method(): + @register_coalignment_method("test_method") + def test_func(): + return "Test function" + + assert "test_method" in registered_methods + assert registered_methods["test_method"] == test_func + assert test_func() == "Test function" From 47e1256e279111825e60e24815d2dc425365183b Mon Sep 17 00:00:00 2001 From: Deus1704 Date: Tue, 25 Jun 2024 19:48:24 +0530 Subject: [PATCH 05/68] adds how to guide few fixes in refs fixing the refs --- .../adding_a_coalignment_method.rst | 37 ++++++++++++ docs/how_to_guide/index.rst | 11 ++++ .../using_new_coalignment_interface.rst | 56 +++++++++++++++++++ docs/index.rst | 1 + sunkit_image/coalignment_module/interface.py | 4 +- .../coalignment_module/match_template.py | 7 ++- 6 files changed, 111 insertions(+), 5 deletions(-) create mode 100644 docs/how_to_guide/adding_a_coalignment_method.rst create mode 100644 docs/how_to_guide/index.rst create mode 100644 docs/how_to_guide/using_new_coalignment_interface.rst diff --git a/docs/how_to_guide/adding_a_coalignment_method.rst b/docs/how_to_guide/adding_a_coalignment_method.rst new file mode 100644 index 00000000..440a91c7 --- /dev/null +++ b/docs/how_to_guide/adding_a_coalignment_method.rst @@ -0,0 +1,37 @@ +.. _sunkit-image-how-to-guide-adding-a-new-coalignment-method: + +**************************** +Add a New Coalignment Method +**************************** + +You can add a custom coalignment method in the `sunkit_image` package using the decorator :func:`sunkit_image.coalignment_module.util.decorators.register_coalignment_method`: + +.. code-block:: python + + from sunkit_image.coalignment_module.util.decorators import register_coalignment_method + + @register_coalignment_method("my_coalign") + def my_coalignment_method(input_array, template_array): + # Your coalignment code goes here + # This should encompass calculating the shifts, applying these shifts to the data, + # handling NaN values appropriately, and implementing any necessary clipping logic. + # Return the shifts and the coaligned array + return (x_shift, y_shift), coaligned_array + +Decorator Parameters +==================== +- **"my_coalign"**: The name of your custom coalignment method. + +Function Requirements +===================== +Your coalignment function should: +1. **Take Input Parameters**: + - ``input_array``: The 2D array to be coaligned. + - ``template_array``: The 2D template array to align to. +2. **Compute Shifts**: Calculate the shifts in the x and y directions needed to align ``input_array`` with ``template_array``. +3. **Apply Shifts**: Apply these shifts to ``input_array`` to generate the coaligned array. +4. **Return**: A tuple where the first element is another tuple containing the shifts ``(x_shift, y_shift)``, and the second element is the coaligned array. + +Example Usage +============= +Once you have added your custom coalignment method, you can use it as discussed in this :ref:`_sunkit-image-how-to-guide-using-the-coalignment-interface` guide diff --git a/docs/how_to_guide/index.rst b/docs/how_to_guide/index.rst new file mode 100644 index 00000000..11c13103 --- /dev/null +++ b/docs/how_to_guide/index.rst @@ -0,0 +1,11 @@ +.. _sunkit-image-how-to-reference: + +************* +How To Guide +************* + +.. toctree:: + :maxdepth: 1 + + adding_a_new_coalignment_method + using_new_coalignment_interface diff --git a/docs/how_to_guide/using_new_coalignment_interface.rst b/docs/how_to_guide/using_new_coalignment_interface.rst new file mode 100644 index 00000000..eca88bb1 --- /dev/null +++ b/docs/how_to_guide/using_new_coalignment_interface.rst @@ -0,0 +1,56 @@ +.. _sunkit-image-how-to-guide-using-the-coalignment-interface: + +***************************** +Using the Coalignment Interface +***************************** + +This guide explains how to use the coalignment interface in the `sunkit_image` package to align solar images. The :func:`sunkit_image.coalignment_module.interface.coalignment` function facilitates image coalignment using various registered methods. + +Function Overview +================= +The :func:`sunkit_image.coalignment_module.interface.coalignment` function performs image coalignment using a specified method that is registered using the decorator :func:`sunkit_image.coalignment_module.util.decorators.register_coalignment_method`. For registering a new method, please check the :ref:`_sunkit-image-how-to-guide-adding-a-new-coalignment-method` guide. + +Refer to the docstring of :func:`sunkit_image.coalignment_module.interface.coalignment` for detailed information on the parameters, return values, and exceptions. + +Function Parameters +=================== +- **reference_map** (`sunpy.map.Map`): The reference map to which the target map is to be coaligned. +- **target_map** (`sunpy.map.Map`): The target map to be coaligned to the reference map. +- **method** (str): The name of the registered coalignment method to use. + +Returns +======= +- **sunpy.map.Map**: The coaligned target map. + +Raises +====== +- **ValueError**: If the specified method is not registered. + +Example Usage +============= +Below is an example of how to use the :func:`sunkit_image.coalignment_module.interface.coalignment` function: + +.. code-block:: python + + from sunpy.map import Map + from sunkit_image.coalignment_module.interface import coalignment + import sunpy.data.sample + + reference_map = Map(sunpy.data.sample.AIA_193_CUTOUT01_IMAGE) + target_map = Map(sunpy.data.sample.AIA_193_CUTOUT02_IMAGE) + + coaligned_map = coalignment(reference_map, target_map, method="match_template") + +The :func:`sunkit_image.coalignment_module.interface.coalignment` function aligns the ``target_map`` to the ``reference_map`` using the specified method (e.g., ``"match_template"``). + +Registered Methods +================== +Ensure that the coalignment method you intend to use is registered. You can add custom methods as described in :ref:`_sunkit-image-how-to-guide-adding-a-new-coalignment-method`. + +Handling NaNs and Infs +====================== +The :func:`sunkit_image.coalignment_module.interface.coalignment` function includes a warning mechanism to alert users if there are any NaNs, Infs, or other problematic values in the input or template arrays. Proper handling of these values is expected to be included in the registered methods. + +Further Reading +=============== +For more details on how to register new coalignment methods, refer to :ref:`_sunkit-image-how-to-guide-adding-a-new-coalignment-method`. diff --git a/docs/index.rst b/docs/index.rst index 125da20c..508d831f 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -14,6 +14,7 @@ sunkit-image :maxdepth: 1 code_ref/index + how_to_guide/index .. grid-item-card:: Other info diff --git a/sunkit_image/coalignment_module/interface.py b/sunkit_image/coalignment_module/interface.py index a1a590db..aabf5fab 100644 --- a/sunkit_image/coalignment_module/interface.py +++ b/sunkit_image/coalignment_module/interface.py @@ -88,6 +88,6 @@ def coalignment(reference_map, target_map, method): warn_user_of_nan(target_array, "target") warn_user_of_nan(reference_array, "reference") - coalign_output = registered_methods[method](target_array, reference_array) + shifts, coalign_array = registered_methods[method](target_array, reference_array) - return convert_array_to_map(coalign_output["coaligned_array"], target_map) + return convert_array_to_map(coalign_array, target_map) diff --git a/sunkit_image/coalignment_module/match_template.py b/sunkit_image/coalignment_module/match_template.py index de86021e..ab0b2223 100644 --- a/sunkit_image/coalignment_module/match_template.py +++ b/sunkit_image/coalignment_module/match_template.py @@ -194,8 +194,9 @@ def match_template_coalign(input_array, template_array): Returns ------- - dict - A dictionary containing the shifts in x and y directions and the coaligned array. + tuple + A tuple where the first element is another tuple containing the shifts in x and y directions (x_shift, y_shift), + and the second element is the coaligned array. """ corr = match_template(np.float64(input_array), np.float64(template_array)) @@ -206,4 +207,4 @@ def match_template_coalign(input_array, template_array): # Clip 'em coaligned_target_array = _clip_edges(input_array, yclips, xclips) # Apply the shift to get the coaligned input array - return {"shifts": {"x": x_shift, "y": y_shift}, "coaligned_array": coaligned_target_array} + return ((x_shift, y_shift), coaligned_target_array) From 73373fc2b79faab95eceb46bc3217d1d64b3caa0 Mon Sep 17 00:00:00 2001 From: Deus1704 Date: Tue, 25 Jun 2024 21:07:27 +0530 Subject: [PATCH 06/68] temporary de-referencing funcs and methods --- .../how_to_guide/adding_a_coalignment_method.rst | 4 ++-- .../using_new_coalignment_interface.rst | 16 ++++++++-------- 2 files changed, 10 insertions(+), 10 deletions(-) diff --git a/docs/how_to_guide/adding_a_coalignment_method.rst b/docs/how_to_guide/adding_a_coalignment_method.rst index 440a91c7..10d95ec3 100644 --- a/docs/how_to_guide/adding_a_coalignment_method.rst +++ b/docs/how_to_guide/adding_a_coalignment_method.rst @@ -4,7 +4,7 @@ Add a New Coalignment Method **************************** -You can add a custom coalignment method in the `sunkit_image` package using the decorator :func:`sunkit_image.coalignment_module.util.decorators.register_coalignment_method`: +You can add a custom coalignment method in the sunkit-image package using the decorator ``sunkit_image.coalignment_module.util.decorators.register_coalignment_method``: .. code-block:: python @@ -34,4 +34,4 @@ Your coalignment function should: Example Usage ============= -Once you have added your custom coalignment method, you can use it as discussed in this :ref:`_sunkit-image-how-to-guide-using-the-coalignment-interface` guide +Once you have added your custom coalignment method, you can use it as discussed in this ``_sunkit-image-how-to-guide-using-the-coalignment-interface`` guide diff --git a/docs/how_to_guide/using_new_coalignment_interface.rst b/docs/how_to_guide/using_new_coalignment_interface.rst index eca88bb1..d2de72d1 100644 --- a/docs/how_to_guide/using_new_coalignment_interface.rst +++ b/docs/how_to_guide/using_new_coalignment_interface.rst @@ -4,13 +4,13 @@ Using the Coalignment Interface ***************************** -This guide explains how to use the coalignment interface in the `sunkit_image` package to align solar images. The :func:`sunkit_image.coalignment_module.interface.coalignment` function facilitates image coalignment using various registered methods. +This guide explains how to use the coalignment interface in the sunkit-image package to align solar images. The ``sunkit_image.coalignment_module.interface.coalignment`` function facilitates image coalignment using various registered methods. Function Overview ================= -The :func:`sunkit_image.coalignment_module.interface.coalignment` function performs image coalignment using a specified method that is registered using the decorator :func:`sunkit_image.coalignment_module.util.decorators.register_coalignment_method`. For registering a new method, please check the :ref:`_sunkit-image-how-to-guide-adding-a-new-coalignment-method` guide. +The ``sunkit_image.coalignment_module.interface.coalignment`` function performs image coalignment using a specified method that is registered using the decorator ``sunkit_image.coalignment_module.util.decorators.register_coalignment_method``. For registering a new method, please check the ``_sunkit-image-how-to-guide-adding-a-new-coalignment-method`` guide. -Refer to the docstring of :func:`sunkit_image.coalignment_module.interface.coalignment` for detailed information on the parameters, return values, and exceptions. +Refer to the docstring of ``sunkit_image.coalignment_module.interface.coalignment`` for detailed information on the parameters, return values, and exceptions. Function Parameters =================== @@ -28,7 +28,7 @@ Raises Example Usage ============= -Below is an example of how to use the :func:`sunkit_image.coalignment_module.interface.coalignment` function: +Below is an example of how to use the ``sunkit_image.coalignment_module.interface.coalignment`` function: .. code-block:: python @@ -41,16 +41,16 @@ Below is an example of how to use the :func:`sunkit_image.coalignment_module.int coaligned_map = coalignment(reference_map, target_map, method="match_template") -The :func:`sunkit_image.coalignment_module.interface.coalignment` function aligns the ``target_map`` to the ``reference_map`` using the specified method (e.g., ``"match_template"``). +The ``sunkit_image.coalignment_module.interface.coalignment`` function aligns the ``target_map`` to the ``reference_map`` using the specified method (e.g., ``"match_template"``). Registered Methods ================== -Ensure that the coalignment method you intend to use is registered. You can add custom methods as described in :ref:`_sunkit-image-how-to-guide-adding-a-new-coalignment-method`. +Ensure that the coalignment method you intend to use is registered. You can add custom methods as described in ``_sunkit-image-how-to-guide-adding-a-new-coalignment-method``. Handling NaNs and Infs ====================== -The :func:`sunkit_image.coalignment_module.interface.coalignment` function includes a warning mechanism to alert users if there are any NaNs, Infs, or other problematic values in the input or template arrays. Proper handling of these values is expected to be included in the registered methods. +The ``sunkit_image.coalignment_module.interface.coalignment`` function includes a warning mechanism to alert users if there are any NaNs, Infs, or other problematic values in the input or template arrays. Proper handling of these values is expected to be included in the registered methods. Further Reading =============== -For more details on how to register new coalignment methods, refer to :ref:`_sunkit-image-how-to-guide-adding-a-new-coalignment-method`. +For more details on how to register new coalignment methods, refer to ``_sunkit-image-how-to-guide-adding-a-new-coalignment-method``. From 125e78a4260a07a9849fa5aa7346474f01e4d4c2 Mon Sep 17 00:00:00 2001 From: Deus1704 Date: Tue, 25 Jun 2024 21:42:59 +0530 Subject: [PATCH 07/68] fix doc tree --- docs/how_to_guide/adding_a_coalignment_method.rst | 4 ++++ docs/how_to_guide/index.rst | 2 +- docs/how_to_guide/using_new_coalignment_interface.rst | 4 ++-- 3 files changed, 7 insertions(+), 3 deletions(-) diff --git a/docs/how_to_guide/adding_a_coalignment_method.rst b/docs/how_to_guide/adding_a_coalignment_method.rst index 10d95ec3..f1c0135a 100644 --- a/docs/how_to_guide/adding_a_coalignment_method.rst +++ b/docs/how_to_guide/adding_a_coalignment_method.rst @@ -26,10 +26,14 @@ Function Requirements ===================== Your coalignment function should: 1. **Take Input Parameters**: + - ``input_array``: The 2D array to be coaligned. - ``template_array``: The 2D template array to align to. + 2. **Compute Shifts**: Calculate the shifts in the x and y directions needed to align ``input_array`` with ``template_array``. + 3. **Apply Shifts**: Apply these shifts to ``input_array`` to generate the coaligned array. + 4. **Return**: A tuple where the first element is another tuple containing the shifts ``(x_shift, y_shift)``, and the second element is the coaligned array. Example Usage diff --git a/docs/how_to_guide/index.rst b/docs/how_to_guide/index.rst index 11c13103..fb404c46 100644 --- a/docs/how_to_guide/index.rst +++ b/docs/how_to_guide/index.rst @@ -7,5 +7,5 @@ How To Guide .. toctree:: :maxdepth: 1 - adding_a_new_coalignment_method + adding_a_coalignment_method using_new_coalignment_interface diff --git a/docs/how_to_guide/using_new_coalignment_interface.rst b/docs/how_to_guide/using_new_coalignment_interface.rst index d2de72d1..948b1896 100644 --- a/docs/how_to_guide/using_new_coalignment_interface.rst +++ b/docs/how_to_guide/using_new_coalignment_interface.rst @@ -1,8 +1,8 @@ .. _sunkit-image-how-to-guide-using-the-coalignment-interface: -***************************** +******************************* Using the Coalignment Interface -***************************** +******************************* This guide explains how to use the coalignment interface in the sunkit-image package to align solar images. The ``sunkit_image.coalignment_module.interface.coalignment`` function facilitates image coalignment using various registered methods. From 53fd4d592279494554643322337d17b253ea355e Mon Sep 17 00:00:00 2001 From: Deus1704 Date: Tue, 25 Jun 2024 23:44:09 +0530 Subject: [PATCH 08/68] added refs again importing funcs testing import i think final final nail explicit imports --- docs/code_ref/coalignment_module.rst | 1 + docs/code_ref/index.rst | 1 + .../adding_a_coalignment_method.rst | 9 +++++--- .../using_new_coalignment_interface.rst | 23 +++++++++++-------- sunkit_image/coalignment_module/__init__.py | 5 ++++ .../coalignment_module/match_template.py | 6 ++--- 6 files changed, 30 insertions(+), 15 deletions(-) create mode 100644 docs/code_ref/coalignment_module.rst diff --git a/docs/code_ref/coalignment_module.rst b/docs/code_ref/coalignment_module.rst new file mode 100644 index 00000000..3a2dcf69 --- /dev/null +++ b/docs/code_ref/coalignment_module.rst @@ -0,0 +1 @@ +.. automodapi:: sunkit_image.coalignment_module diff --git a/docs/code_ref/index.rst b/docs/code_ref/index.rst index 1f040214..b2482c0d 100644 --- a/docs/code_ref/index.rst +++ b/docs/code_ref/index.rst @@ -9,6 +9,7 @@ API Reference asda coalignment + coalignment_module enhance granule radial diff --git a/docs/how_to_guide/adding_a_coalignment_method.rst b/docs/how_to_guide/adding_a_coalignment_method.rst index f1c0135a..980fbfb8 100644 --- a/docs/how_to_guide/adding_a_coalignment_method.rst +++ b/docs/how_to_guide/adding_a_coalignment_method.rst @@ -1,10 +1,10 @@ -.. _sunkit-image-how-to-guide-adding-a-new-coalignment-method: +.. _add-a-new-coalignment-method: **************************** Add a New Coalignment Method **************************** -You can add a custom coalignment method in the sunkit-image package using the decorator ``sunkit_image.coalignment_module.util.decorators.register_coalignment_method``: +You can add a custom coalignment method in the sunkit-image package using the decorator :func:`sunkit_image.coalignment_module.register_coalignment_method`: .. code-block:: python @@ -20,10 +20,12 @@ You can add a custom coalignment method in the sunkit-image package using the de Decorator Parameters ==================== + - **"my_coalign"**: The name of your custom coalignment method. Function Requirements ===================== + Your coalignment function should: 1. **Take Input Parameters**: @@ -38,4 +40,5 @@ Your coalignment function should: Example Usage ============= -Once you have added your custom coalignment method, you can use it as discussed in this ``_sunkit-image-how-to-guide-using-the-coalignment-interface`` guide + +Once you have added your custom coalignment method, you can use it as discussed in this :doc:`using_new_coalignment_interface` guide diff --git a/docs/how_to_guide/using_new_coalignment_interface.rst b/docs/how_to_guide/using_new_coalignment_interface.rst index 948b1896..f92af75e 100644 --- a/docs/how_to_guide/using_new_coalignment_interface.rst +++ b/docs/how_to_guide/using_new_coalignment_interface.rst @@ -1,34 +1,39 @@ -.. _sunkit-image-how-to-guide-using-the-coalignment-interface: +.. _using-the-coalignment-interface: ******************************* Using the Coalignment Interface ******************************* -This guide explains how to use the coalignment interface in the sunkit-image package to align solar images. The ``sunkit_image.coalignment_module.interface.coalignment`` function facilitates image coalignment using various registered methods. +This guide explains how to use the coalignment interface in the sunkit-image package to align solar images. The :func:`sunkit_image.coalignment_module.coalignment` function facilitates image coalignment using various registered methods. Function Overview ================= -The ``sunkit_image.coalignment_module.interface.coalignment`` function performs image coalignment using a specified method that is registered using the decorator ``sunkit_image.coalignment_module.util.decorators.register_coalignment_method``. For registering a new method, please check the ``_sunkit-image-how-to-guide-adding-a-new-coalignment-method`` guide. -Refer to the docstring of ``sunkit_image.coalignment_module.interface.coalignment`` for detailed information on the parameters, return values, and exceptions. +The :func:`sunkit_image.coalignment_module.coalignment` function performs image coalignment using a specified method that is registered using the decorator :func:`sunkit_image.coalignment_module.register_coalignment_method`. For registering a new method, please check the :doc:`adding_a_coalignment_method` guide. + +Refer to the docstring of :func:`sunkit_image.coalignment_module.coalignment` for detailed information on the parameters, return values, and exceptions. Function Parameters =================== + - **reference_map** (`sunpy.map.Map`): The reference map to which the target map is to be coaligned. - **target_map** (`sunpy.map.Map`): The target map to be coaligned to the reference map. - **method** (str): The name of the registered coalignment method to use. Returns ======= + - **sunpy.map.Map**: The coaligned target map. Raises ====== + - **ValueError**: If the specified method is not registered. Example Usage ============= -Below is an example of how to use the ``sunkit_image.coalignment_module.interface.coalignment`` function: + +Below is an example of how to use the :func:`sunkit_image.coalignment_module.coalignment` function: .. code-block:: python @@ -41,16 +46,16 @@ Below is an example of how to use the ``sunkit_image.coalignment_module.interfac coaligned_map = coalignment(reference_map, target_map, method="match_template") -The ``sunkit_image.coalignment_module.interface.coalignment`` function aligns the ``target_map`` to the ``reference_map`` using the specified method (e.g., ``"match_template"``). +The :func:`sunkit_image.coalignment_module.coalignment` function aligns the ``target_map`` to the ``reference_map`` using the specified method (e.g., ``"match_template"``). Registered Methods ================== -Ensure that the coalignment method you intend to use is registered. You can add custom methods as described in ``_sunkit-image-how-to-guide-adding-a-new-coalignment-method``. +Ensure that the coalignment method you intend to use is registered. You can add custom methods as described in :doc:`adding_a_coalignment_method`. Handling NaNs and Infs ====================== -The ``sunkit_image.coalignment_module.interface.coalignment`` function includes a warning mechanism to alert users if there are any NaNs, Infs, or other problematic values in the input or template arrays. Proper handling of these values is expected to be included in the registered methods. +The :func:`sunkit_image.coalignment_module.coalignment` function includes a warning mechanism to alert users if there are any NaNs, Infs, or other problematic values in the input or template arrays. Proper handling of these values is expected to be included in the registered methods. Further Reading =============== -For more details on how to register new coalignment methods, refer to ``_sunkit-image-how-to-guide-adding-a-new-coalignment-method``. +For more details on how to register new coalignment methods, refer to :doc:`adding_a_coalignment_method`. diff --git a/sunkit_image/coalignment_module/__init__.py b/sunkit_image/coalignment_module/__init__.py index e69de29b..e4d5e503 100644 --- a/sunkit_image/coalignment_module/__init__.py +++ b/sunkit_image/coalignment_module/__init__.py @@ -0,0 +1,5 @@ +from .interface import coalignment +from .match_template import match_template_coalign +from .util.decorators import register_coalignment_method + +__all__ = ["coalignment", "match_template_coalign", "register_coalignment_method"] diff --git a/sunkit_image/coalignment_module/match_template.py b/sunkit_image/coalignment_module/match_template.py index ab0b2223..9275b267 100644 --- a/sunkit_image/coalignment_module/match_template.py +++ b/sunkit_image/coalignment_module/match_template.py @@ -195,8 +195,8 @@ def match_template_coalign(input_array, template_array): Returns ------- tuple - A tuple where the first element is another tuple containing the shifts in x and y directions (x_shift, y_shift), - and the second element is the coaligned array. + A tuple where the first element is the coaligned array and the second element is another tuple containing the + shifts in x and y directions (x_shift, y_shift), """ corr = match_template(np.float64(input_array), np.float64(template_array)) @@ -207,4 +207,4 @@ def match_template_coalign(input_array, template_array): # Clip 'em coaligned_target_array = _clip_edges(input_array, yclips, xclips) # Apply the shift to get the coaligned input array - return ((x_shift, y_shift), coaligned_target_array) + return (coaligned_target_array, (x_shift, y_shift)) From 41501151f7242ea591a868ebed819040bcc563c6 Mon Sep 17 00:00:00 2001 From: Jayraj Dulange <117574289+Deus1704@users.noreply.github.com> Date: Wed, 26 Jun 2024 02:59:17 +0530 Subject: [PATCH 09/68] Apply suggestions from code review Co-authored-by: Nabil Freij --- .../using_new_coalignment_interface.rst | 15 +++++++++++---- 1 file changed, 11 insertions(+), 4 deletions(-) diff --git a/docs/how_to_guide/using_new_coalignment_interface.rst b/docs/how_to_guide/using_new_coalignment_interface.rst index f92af75e..bc72ba64 100644 --- a/docs/how_to_guide/using_new_coalignment_interface.rst +++ b/docs/how_to_guide/using_new_coalignment_interface.rst @@ -4,12 +4,14 @@ Using the Coalignment Interface ******************************* -This guide explains how to use the coalignment interface in the sunkit-image package to align solar images. The :func:`sunkit_image.coalignment_module.coalignment` function facilitates image coalignment using various registered methods. +This guide explains how to use the coalignment interface in the sunkit-image package to align solar images. +The :func:`sunkit_image.coalignment_module.coalignment` function facilitates image coalignment using various registered methods. Function Overview ================= -The :func:`sunkit_image.coalignment_module.coalignment` function performs image coalignment using a specified method that is registered using the decorator :func:`sunkit_image.coalignment_module.register_coalignment_method`. For registering a new method, please check the :doc:`adding_a_coalignment_method` guide. +The :func:`sunkit_image.coalignment_module.coalignment` function performs image coalignment using a specified method that is registered using the decorator :func:`~sunkit_image.coalignment_module.register_coalignment_method`. +For registering a new method, please check the :doc:`adding_a_coalignment_method` guide. Refer to the docstring of :func:`sunkit_image.coalignment_module.coalignment` for detailed information on the parameters, return values, and exceptions. @@ -50,12 +52,17 @@ The :func:`sunkit_image.coalignment_module.coalignment` function aligns the ``ta Registered Methods ================== -Ensure that the coalignment method you intend to use is registered. You can add custom methods as described in :doc:`adding_a_coalignment_method`. + +Ensure that the coalignment method you intend to use is registered. +You can add custom methods as described in :doc:`adding_a_coalignment_method`. Handling NaNs and Infs ====================== -The :func:`sunkit_image.coalignment_module.coalignment` function includes a warning mechanism to alert users if there are any NaNs, Infs, or other problematic values in the input or template arrays. Proper handling of these values is expected to be included in the registered methods. + +The :func:`sunkit_image.coalignment_module.coalignment` function includes a warning mechanism to alert users if there are any NaNs, Infs, or other problematic values in the input or template arrays. +Proper handling of these values is expected to be included in the registered methods. Further Reading =============== + For more details on how to register new coalignment methods, refer to :doc:`adding_a_coalignment_method`. From 0ac31aba844e140910c055e2f431873fb4d68ce1 Mon Sep 17 00:00:00 2001 From: Deus1704 Date: Wed, 26 Jun 2024 03:09:16 +0530 Subject: [PATCH 10/68] code review and fixing minor mistakes --- docs/how_to_guide/adding_a_coalignment_method.rst | 6 +++--- docs/how_to_guide/using_new_coalignment_interface.rst | 2 +- sunkit_image/coalignment_module/__init__.py | 6 +++--- sunkit_image/coalignment_module/interface.py | 2 +- 4 files changed, 8 insertions(+), 8 deletions(-) diff --git a/docs/how_to_guide/adding_a_coalignment_method.rst b/docs/how_to_guide/adding_a_coalignment_method.rst index 980fbfb8..40b28b32 100644 --- a/docs/how_to_guide/adding_a_coalignment_method.rst +++ b/docs/how_to_guide/adding_a_coalignment_method.rst @@ -1,4 +1,4 @@ -.. _add-a-new-coalignment-method: +.. _sunkit-image-how-to-guide-add-a-new-coalignment-method: **************************** Add a New Coalignment Method @@ -16,7 +16,7 @@ You can add a custom coalignment method in the sunkit-image package using the de # This should encompass calculating the shifts, applying these shifts to the data, # handling NaN values appropriately, and implementing any necessary clipping logic. # Return the shifts and the coaligned array - return (x_shift, y_shift), coaligned_array + return (coaligned_array, (x_shift, y_shift)) Decorator Parameters ==================== @@ -36,7 +36,7 @@ Your coalignment function should: 3. **Apply Shifts**: Apply these shifts to ``input_array`` to generate the coaligned array. -4. **Return**: A tuple where the first element is another tuple containing the shifts ``(x_shift, y_shift)``, and the second element is the coaligned array. +4. **Return**: A tuple where the first element is the coaligned array and the second element is another tuple containing the shifts ``(x_shift, y_shift)``. Example Usage ============= diff --git a/docs/how_to_guide/using_new_coalignment_interface.rst b/docs/how_to_guide/using_new_coalignment_interface.rst index bc72ba64..a16834a1 100644 --- a/docs/how_to_guide/using_new_coalignment_interface.rst +++ b/docs/how_to_guide/using_new_coalignment_interface.rst @@ -1,4 +1,4 @@ -.. _using-the-coalignment-interface: +.. _sunkit-image-how-to-guide-using-the-coalignment-interface: ******************************* Using the Coalignment Interface diff --git a/sunkit_image/coalignment_module/__init__.py b/sunkit_image/coalignment_module/__init__.py index e4d5e503..fb75e449 100644 --- a/sunkit_image/coalignment_module/__init__.py +++ b/sunkit_image/coalignment_module/__init__.py @@ -1,5 +1,5 @@ -from .interface import coalignment -from .match_template import match_template_coalign -from .util.decorators import register_coalignment_method +from sunkit_image.coalignment_module.interface import coalignment +from sunkit_image.coalignment_module.match_template import match_template_coalign +from sunkit_image.coalignment_module.util.decorators import register_coalignment_method __all__ = ["coalignment", "match_template_coalign", "register_coalignment_method"] diff --git a/sunkit_image/coalignment_module/interface.py b/sunkit_image/coalignment_module/interface.py index aabf5fab..868bc52e 100644 --- a/sunkit_image/coalignment_module/interface.py +++ b/sunkit_image/coalignment_module/interface.py @@ -88,6 +88,6 @@ def coalignment(reference_map, target_map, method): warn_user_of_nan(target_array, "target") warn_user_of_nan(reference_array, "reference") - shifts, coalign_array = registered_methods[method](target_array, reference_array) + coalign_array, shifts = registered_methods[method](target_array, reference_array) return convert_array_to_map(coalign_array, target_map) From ffe357bffb522ec17b03873cf8e1127570cead85 Mon Sep 17 00:00:00 2001 From: Deus1704 Date: Wed, 26 Jun 2024 04:08:13 +0530 Subject: [PATCH 11/68] changed doc to ref --- docs/how_to_guide/adding_a_coalignment_method.rst | 2 +- docs/how_to_guide/using_new_coalignment_interface.rst | 6 +++--- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/how_to_guide/adding_a_coalignment_method.rst b/docs/how_to_guide/adding_a_coalignment_method.rst index 40b28b32..4be53255 100644 --- a/docs/how_to_guide/adding_a_coalignment_method.rst +++ b/docs/how_to_guide/adding_a_coalignment_method.rst @@ -41,4 +41,4 @@ Your coalignment function should: Example Usage ============= -Once you have added your custom coalignment method, you can use it as discussed in this :doc:`using_new_coalignment_interface` guide +Once you have added your custom coalignment method, you can use it as discussed in :ref:`this ` guide diff --git a/docs/how_to_guide/using_new_coalignment_interface.rst b/docs/how_to_guide/using_new_coalignment_interface.rst index a16834a1..e8c16053 100644 --- a/docs/how_to_guide/using_new_coalignment_interface.rst +++ b/docs/how_to_guide/using_new_coalignment_interface.rst @@ -11,7 +11,7 @@ Function Overview ================= The :func:`sunkit_image.coalignment_module.coalignment` function performs image coalignment using a specified method that is registered using the decorator :func:`~sunkit_image.coalignment_module.register_coalignment_method`. -For registering a new method, please check the :doc:`adding_a_coalignment_method` guide. +For registering a new method, please check :ref:`this ` guide. Refer to the docstring of :func:`sunkit_image.coalignment_module.coalignment` for detailed information on the parameters, return values, and exceptions. @@ -54,7 +54,7 @@ Registered Methods ================== Ensure that the coalignment method you intend to use is registered. -You can add custom methods as described in :doc:`adding_a_coalignment_method`. +You can add custom methods as described in :ref:`this ` guide. Handling NaNs and Infs ====================== @@ -65,4 +65,4 @@ Proper handling of these values is expected to be included in the registered met Further Reading =============== -For more details on how to register new coalignment methods, refer to :doc:`adding_a_coalignment_method`. +For more details on how to register new coalignment methods, refer to :ref:`this `. From adc8bcbea3263e6413571437f1e9b596e6a09306 Mon Sep 17 00:00:00 2001 From: Jayraj Dulange <117574289+Deus1704@users.noreply.github.com> Date: Thu, 27 Jun 2024 01:07:33 +0530 Subject: [PATCH 12/68] Update ref Co-authored-by: Nabil Freij --- docs/how_to_guide/adding_a_coalignment_method.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/how_to_guide/adding_a_coalignment_method.rst b/docs/how_to_guide/adding_a_coalignment_method.rst index 4be53255..48c33d92 100644 --- a/docs/how_to_guide/adding_a_coalignment_method.rst +++ b/docs/how_to_guide/adding_a_coalignment_method.rst @@ -41,4 +41,4 @@ Your coalignment function should: Example Usage ============= -Once you have added your custom coalignment method, you can use it as discussed in :ref:`this ` guide +Once you have added your custom coalignment method, you can use it as discussed in :ref:`sunkit-image-how-to-guide-using-the-coalignment-interface`. From bc6d2e19ada6a6f978abc4fb5825ae092b4f2fc1 Mon Sep 17 00:00:00 2001 From: Deus1704 Date: Thu, 27 Jun 2024 01:22:19 +0530 Subject: [PATCH 13/68] better linking lint --- docs/how_to_guide/adding_a_coalignment_method.rst | 7 ++++--- .../how_to_guide/using_new_coalignment_interface.rst | 12 ++++++------ 2 files changed, 10 insertions(+), 9 deletions(-) diff --git a/docs/how_to_guide/adding_a_coalignment_method.rst b/docs/how_to_guide/adding_a_coalignment_method.rst index 48c33d92..0c5c7cb0 100644 --- a/docs/how_to_guide/adding_a_coalignment_method.rst +++ b/docs/how_to_guide/adding_a_coalignment_method.rst @@ -4,7 +4,7 @@ Add a New Coalignment Method **************************** -You can add a custom coalignment method in the sunkit-image package using the decorator :func:`sunkit_image.coalignment_module.register_coalignment_method`: +You can add a custom coalignment method in the sunkit-image package using the decorator :func:`~sunkit_image.coalignment_module.register_coalignment_method`: .. code-block:: python @@ -27,10 +27,11 @@ Function Requirements ===================== Your coalignment function should: + 1. **Take Input Parameters**: - - ``input_array``: The 2D array to be coaligned. - - ``template_array``: The 2D template array to align to. + - ``input_array``: The 2D array to be coaligned. + - ``template_array``: The 2D template array to align to. 2. **Compute Shifts**: Calculate the shifts in the x and y directions needed to align ``input_array`` with ``template_array``. diff --git a/docs/how_to_guide/using_new_coalignment_interface.rst b/docs/how_to_guide/using_new_coalignment_interface.rst index e8c16053..141082f6 100644 --- a/docs/how_to_guide/using_new_coalignment_interface.rst +++ b/docs/how_to_guide/using_new_coalignment_interface.rst @@ -5,15 +5,15 @@ Using the Coalignment Interface ******************************* This guide explains how to use the coalignment interface in the sunkit-image package to align solar images. -The :func:`sunkit_image.coalignment_module.coalignment` function facilitates image coalignment using various registered methods. +The :func:`~sunkit_image.coalignment_module.coalignment` function facilitates image coalignment using various registered methods. Function Overview ================= -The :func:`sunkit_image.coalignment_module.coalignment` function performs image coalignment using a specified method that is registered using the decorator :func:`~sunkit_image.coalignment_module.register_coalignment_method`. +The :func:`~sunkit_image.coalignment_module.coalignment` function performs image coalignment using a specified method that is registered using the decorator :func:`~sunkit_image.coalignment_module.register_coalignment_method`. For registering a new method, please check :ref:`this ` guide. -Refer to the docstring of :func:`sunkit_image.coalignment_module.coalignment` for detailed information on the parameters, return values, and exceptions. +Refer to the docstring of :func:`~sunkit_image.coalignment_module.coalignment` for detailed information on the parameters, return values, and exceptions. Function Parameters =================== @@ -35,7 +35,7 @@ Raises Example Usage ============= -Below is an example of how to use the :func:`sunkit_image.coalignment_module.coalignment` function: +Below is an example of how to use the :func:`~sunkit_image.coalignment_module.coalignment` function: .. code-block:: python @@ -48,7 +48,7 @@ Below is an example of how to use the :func:`sunkit_image.coalignment_module.coa coaligned_map = coalignment(reference_map, target_map, method="match_template") -The :func:`sunkit_image.coalignment_module.coalignment` function aligns the ``target_map`` to the ``reference_map`` using the specified method (e.g., ``"match_template"``). +The :func:`~sunkit_image.coalignment_module.coalignment` function aligns the ``target_map`` to the ``reference_map`` using the specified method (e.g., ``"match_template"``). Registered Methods ================== @@ -59,7 +59,7 @@ You can add custom methods as described in :ref:`this Date: Fri, 12 Jul 2024 20:52:29 +0530 Subject: [PATCH 14/68] updated the api, now returns the map with updated metadata --- changelog/207.breaking.rst | 1 + sunkit_image/coalignment_module/interface.py | 57 +++++++--- .../coalignment_module/match_template.py | 105 ++---------------- .../tests/test_match_template.py | 34 +----- 4 files changed, 52 insertions(+), 145 deletions(-) create mode 100644 changelog/207.breaking.rst diff --git a/changelog/207.breaking.rst b/changelog/207.breaking.rst new file mode 100644 index 00000000..f76c59da --- /dev/null +++ b/changelog/207.breaking.rst @@ -0,0 +1 @@ +Adding the updated and better version of the Coalignment API. \ No newline at end of file diff --git a/sunkit_image/coalignment_module/interface.py b/sunkit_image/coalignment_module/interface.py index 868bc52e..f0794177 100644 --- a/sunkit_image/coalignment_module/interface.py +++ b/sunkit_image/coalignment_module/interface.py @@ -9,27 +9,50 @@ __all__ = ["coalignment"] -def convert_array_to_map(array_obj, map_obj): +def update_metadata(target_map, affineParams): """ - Convert a 2D numpy array to a sunpy Map object using the header of a given - map object. + Update the metadata of a sunpy Map object based on affine transformation + parameters. Parameters ---------- - array_obj : `numpy.ndarray` - The 2D numpy array to be converted. - map_obj : `sunpy.map.Map` - The map object whose header is to be used for the new map. + target_map : `sunpy.map.Map` + The original map object whose metadata is to be updated. + affineParams : object + An object containing the affine transformation parameters. This object must + have attributes for translation (dx, dy), scale, and rotation. Returns ------- `sunpy.map.Map` - A new sunpy map object with the data from `array_obj` and the header from `map_obj`. + A new sunpy map object with updated metadata reflecting the affine transformation. """ - header = map_obj.meta.copy() - header["crpix1"] -= array_obj.shape[1] / 2.0 - map_obj.data.shape[1] / 2.0 - header["crpix2"] -= array_obj.shape[0] / 2.0 - map_obj.data.shape[0] / 2.0 - return sunpy.map.Map(array_obj, header) + ref_pix = target_map.reference_pixel + pc_matrix = target_map.rotation_matrix + + # Extacting the affine parameters + translation = affineParams.translation + scale = affineParams.scale + rotation = affineParams.rotation + + # Updating the reference pixel + new_ref = ref_pix + translation + # Updating the PC matrix + cos_theta = np.cos(rotation) + sin_theta = np.sin(rotation) + rotation_matrix = np.array([[cos_theta, -sin_theta], [sin_theta, cos_theta]]) + new_pc_matrix = pc_matrix @ rotation_matrix @ scale + + # Create a new map with the updated metadata + new_meta = target_map.meta.copy() + new_meta["CRPIX1"] = new_ref[0].value + new_meta["CRPIX2"] = new_ref[1].value + new_meta["PC1_1"] = new_pc_matrix[0, 0] + new_meta["PC1_2"] = new_pc_matrix[0, 1] + new_meta["PC2_1"] = new_pc_matrix[1, 0] + new_meta["PC2_2"] = new_pc_matrix[1, 1] + + return sunpy.map.Map(target_map.data, new_meta) def warn_user_of_nan(array, name): @@ -57,7 +80,8 @@ def warn_user_of_nan(array, name): def coalignment(reference_map, target_map, method): """ - Performs image coalignment using a specified method. + Performs image coalignment using a specified method. It updates the + metadata of the target map so as to align it with the reference map. Parameters ---------- @@ -71,7 +95,7 @@ def coalignment(reference_map, target_map, method): Returns ------- `sunpy.map.Map` - The coaligned target map. + The coaligned target map with the updated metadata. Raises ------ @@ -88,6 +112,5 @@ def coalignment(reference_map, target_map, method): warn_user_of_nan(target_array, "target") warn_user_of_nan(reference_array, "reference") - coalign_array, shifts = registered_methods[method](target_array, reference_array) - - return convert_array_to_map(coalign_array, target_map) + affineParams = registered_methods[method](target_array, reference_array) + return update_metadata(target_map, affineParams) diff --git a/sunkit_image/coalignment_module/match_template.py b/sunkit_image/coalignment_module/match_template.py index 9275b267..a3dbde1b 100644 --- a/sunkit_image/coalignment_module/match_template.py +++ b/sunkit_image/coalignment_module/match_template.py @@ -1,3 +1,5 @@ +from typing import NamedTuple + import astropy.units as u import numpy as np from skimage.feature import match_template @@ -7,95 +9,10 @@ __all__ = ["match_template_coalign"] -@u.quantity_input -def _clip_edges(data, yclips: u.pix, xclips: u.pix): - """ - Clips off the "y" and "x" edges of a 2D array according to a list of pixel - values. This function is useful for removing data at the edge of 2d images - that may be affected by shifts from solar de- rotation and layer co- - registration, leaving an image unaffected by edge effects. - - Parameters - ---------- - data : `numpy.ndarray` - A numpy array of shape ``(ny, nx)``. - yclips : `astropy.units.Quantity` - The amount to clip in the y-direction of the data. Has units of - pixels, and values should be whole non-negative numbers. - xclips : `astropy.units.Quantity` - The amount to clip in the x-direction of the data. Has units of - pixels, and values should be whole non-negative numbers. - - Returns - ------- - `numpy.ndarray` - A 2D image with edges clipped off according to ``yclips`` and ``xclips`` - arrays. - """ - ny = data.shape[0] - nx = data.shape[1] - # The purpose of the int below is to ensure integer type since by default - # astropy quantities are converted to floats. - return data[int(yclips[0].value) : ny - int(yclips[1].value), int(xclips[0].value) : nx - int(xclips[1].value)] - - -@u.quantity_input -def _calculate_clipping(y: u.pix, x: u.pix): - """ - Return the upper and lower clipping values for the "y" and "x" directions. - - Parameters - ---------- - y : `astropy.units.Quantity` - An array of pixel shifts in the y-direction for an image. - x : `astropy.units.Quantity` - An array of pixel shifts in the x-direction for an image. - - Returns - ------- - `tuple` - The tuple is of the form ``([y0, y1], [x0, x1])``. - The number of (integer) pixels that need to be clipped off at each - edge in an image. The first element in the tuple is a list that gives - the number of pixels to clip in the y-direction. The first element in - that list is the number of rows to clip at the lower edge of the image - in y. The clipped image has "clipping[0][0]" rows removed from its - lower edge when compared to the original image. The second element in - that list is the number of rows to clip at the upper edge of the image - in y. The clipped image has "clipping[0][1]" rows removed from its - upper edge when compared to the original image. The second element in - the "clipping" tuple applies similarly to the x-direction (image - columns). The parameters ``y0, y1, x0, x1`` have the type - `~astropy.units.Quantity`. - """ - return ( - [_lower_clip(y.value), _upper_clip(y.value)] * u.pix, - [_lower_clip(x.value), _upper_clip(x.value)] * u.pix, - ) - - -def _upper_clip(z): - """ - Find smallest integer bigger than all the positive entries in the input - array. - """ - zupper = 0 - zcond = z >= 0 - if np.any(zcond): - zupper = int(np.max(np.ceil(z[zcond]))) - return zupper - - -def _lower_clip(z): - """ - Find smallest positive integer bigger than the absolute values of the - negative entries in the input array. - """ - zlower = 0 - zcond = z <= 0 - if np.any(zcond): - zlower = int(np.max(np.ceil(-z[zcond]))) - return zlower +class affineParams(NamedTuple): + scale: tuple[tuple[float, float], tuple[float, float]] + rotation: float + translation: tuple[float, float] def _parabolic_turning_point(y): @@ -202,9 +119,7 @@ def match_template_coalign(input_array, template_array): # Find the best match location y_shift, x_shift = _find_best_match_location(corr) - # Calculate the clipping required - yclips, xclips = _calculate_clipping(x_shift * u.pix, y_shift * u.pix) - # Clip 'em - coaligned_target_array = _clip_edges(input_array, yclips, xclips) - # Apply the shift to get the coaligned input array - return (coaligned_target_array, (x_shift, y_shift)) + # Particularly for this, there is no change in the rotation or scaling, hence the hardcoded values of scale to 1.0 & rotation to identity matrix + scale = [(1.0, 0), (0, 1.0)] + rotation = 0.0 # Considering the angle is in radians by default + return affineParams(scale=scale, rotation=rotation, translation=(x_shift * u.pixel, y_shift * u.pixel)) diff --git a/sunkit_image/coalignment_module/tests/test_match_template.py b/sunkit_image/coalignment_module/tests/test_match_template.py index 344d2a44..b9e4a3d9 100644 --- a/sunkit_image/coalignment_module/tests/test_match_template.py +++ b/sunkit_image/coalignment_module/tests/test_match_template.py @@ -1,17 +1,13 @@ import astropy.units as u import numpy as np import pytest -from numpy.testing import assert_allclose, assert_array_almost_equal +from numpy.testing import assert_allclose from skimage.feature import match_template from sunkit_image.coalignment_module.match_template import ( - _calculate_clipping, - _clip_edges, _find_best_match_location, _get_correlation_shifts, - _lower_clip, _parabolic_turning_point, - _upper_clip, ) @@ -53,31 +49,3 @@ def test_find_best_match_location(aia171_test_map_layer, aia171_test_template, a result = match_template(aia171_test_map_layer, aia171_test_template) match_location = u.Quantity(_find_best_match_location(result)) assert_allclose(match_location.value, np.array(result.shape) / 2.0 - 0.5 + aia171_test_shift, rtol=1e-3, atol=0) - - -def test_lower_clip(aia171_test_clipping): - # No element is less than zero - test_array = np.asarray([1.1, 0.1, 3.0]) - assert _lower_clip(test_array) == 0 - assert _lower_clip(aia171_test_clipping) == 2.0 - - -def test_upper_clip(aia171_test_clipping): - assert _upper_clip(aia171_test_clipping) == 1.0 - # No element is greater than zero - test_array = np.asarray([-1.1, -0.1, -3.0]) - assert _upper_clip(test_array) == 0 - - -def test_calculate_clipping(aia171_test_clipping): - answer = _calculate_clipping(aia171_test_clipping * u.pix, aia171_test_clipping * u.pix) - assert_array_almost_equal(answer, ([2.0, 1.0] * u.pix, [2.0, 1.0] * u.pix)) - - -def test_clip_edges(): - a = np.zeros(shape=(341, 156)) - yclip = [4, 0] * u.pix - xclip = [1, 2] * u.pix - new_a = _clip_edges(a, yclip, xclip) - assert a.shape[0] - (yclip[0].value + yclip[1].value) == new_a.shape[0] - assert a.shape[1] - (xclip[0].value + xclip[1].value) == new_a.shape[1] From 89f6d99353840d02da63701b6d3df8e7ba9c776d Mon Sep 17 00:00:00 2001 From: Jayraj Dulange Date: Fri, 12 Jul 2024 15:44:53 +0000 Subject: [PATCH 15/68] updated the how_to_guide --- changelog/207.breaking.rst | 2 +- docs/how_to_guide/adding_a_coalignment_method.rst | 10 +++++----- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/changelog/207.breaking.rst b/changelog/207.breaking.rst index f76c59da..5f51ffc1 100644 --- a/changelog/207.breaking.rst +++ b/changelog/207.breaking.rst @@ -1 +1 @@ -Adding the updated and better version of the Coalignment API. \ No newline at end of file +Adding the updated and better version of the Coalignment API. diff --git a/docs/how_to_guide/adding_a_coalignment_method.rst b/docs/how_to_guide/adding_a_coalignment_method.rst index 0c5c7cb0..71cce12a 100644 --- a/docs/how_to_guide/adding_a_coalignment_method.rst +++ b/docs/how_to_guide/adding_a_coalignment_method.rst @@ -14,9 +14,9 @@ You can add a custom coalignment method in the sunkit-image package using the de def my_coalignment_method(input_array, template_array): # Your coalignment code goes here # This should encompass calculating the shifts, applying these shifts to the data, - # handling NaN values appropriately, and implementing any necessary clipping logic. - # Return the shifts and the coaligned array - return (coaligned_array, (x_shift, y_shift)) + # handling NaN values appropriately. + # Return the shifts in a affine style, such as the scale + return affineParams(scale, rotation, translation) Decorator Parameters ==================== @@ -35,9 +35,9 @@ Your coalignment function should: 2. **Compute Shifts**: Calculate the shifts in the x and y directions needed to align ``input_array`` with ``template_array``. -3. **Apply Shifts**: Apply these shifts to ``input_array`` to generate the coaligned array. +3. **Determine Affine Parameters**: Decide the parameters of the affine parameters like the scale, rotation and translation(generally shifts in x and y direction). -4. **Return**: A tuple where the first element is the coaligned array and the second element is another tuple containing the shifts ``(x_shift, y_shift)``. +4. **Return**: A named tuple that contains the affine transformation parameters. Example Usage ============= From 963e4762052293eebdc20b5599afeab8991fa2c1 Mon Sep 17 00:00:00 2001 From: Jayraj Dulange Date: Fri, 12 Jul 2024 17:22:28 +0000 Subject: [PATCH 16/68] docstring fix --- sunkit_image/coalignment_module/match_template.py | 11 ++++++++--- 1 file changed, 8 insertions(+), 3 deletions(-) diff --git a/sunkit_image/coalignment_module/match_template.py b/sunkit_image/coalignment_module/match_template.py index a3dbde1b..3ee6746f 100644 --- a/sunkit_image/coalignment_module/match_template.py +++ b/sunkit_image/coalignment_module/match_template.py @@ -111,9 +111,14 @@ def match_template_coalign(input_array, template_array): Returns ------- - tuple - A tuple where the first element is the coaligned array and the second element is another tuple containing the - shifts in x and y directions (x_shift, y_shift), + AffineParams + A named tuple containing the following affine transformation parameters: + - scale: list + A list of tuples representing the scale transformation as an identity matrix. + - rotation: float + The rotation angle in radians, which is fixed at 0.0 in this function. + - translation: tuple + A tuple containing the x and y translation values in pixels. """ corr = match_template(np.float64(input_array), np.float64(template_array)) From ba8ec820c5ee7ffaf9bdb1939061a869e3801b49 Mon Sep 17 00:00:00 2001 From: Deus1704 Date: Mon, 15 Jul 2024 10:21:46 +0530 Subject: [PATCH 17/68] first try at replacing old coalign --- docs/code_ref/coalignment_module.rst | 1 - docs/code_ref/index.rst | 1 - .../adding_a_coalignment_method.rst | 10 +- .../using_new_coalignment_interface.rst | 14 +- examples/mapsequence_coalignment.py | 87 ---- sunkit_image/coalignment/__init__.py | 4 + .../interface.py | 16 +- .../match_template.py | 8 +- .../tests/__init__.py | 0 .../tests/conftest.py | 0 .../tests/test_coalignment.py | 0 .../tests/test_match_template.py | 2 +- sunkit_image/coalignment_module/__init__.py | 5 - .../coalignment_module/util/__init__.py | 0 .../coalignment_module/util/decorators.py | 21 - .../coalignment_module/util/tests/__init__.py | 0 sunkit_image/tests/test_coalignment.py | 415 ------------------ sunkit_image/utils/decorators.py | 22 +- .../util => utils}/tests/test_decorators.py | 2 +- 19 files changed, 51 insertions(+), 557 deletions(-) delete mode 100644 docs/code_ref/coalignment_module.rst delete mode 100644 examples/mapsequence_coalignment.py create mode 100644 sunkit_image/coalignment/__init__.py rename sunkit_image/{coalignment_module => coalignment}/interface.py (89%) rename sunkit_image/{coalignment_module => coalignment}/match_template.py (93%) rename sunkit_image/{coalignment_module => coalignment}/tests/__init__.py (100%) rename sunkit_image/{coalignment_module => coalignment}/tests/conftest.py (100%) rename sunkit_image/{coalignment_module => coalignment}/tests/test_coalignment.py (100%) rename sunkit_image/{coalignment_module => coalignment}/tests/test_match_template.py (96%) delete mode 100644 sunkit_image/coalignment_module/__init__.py delete mode 100644 sunkit_image/coalignment_module/util/__init__.py delete mode 100644 sunkit_image/coalignment_module/util/decorators.py delete mode 100644 sunkit_image/coalignment_module/util/tests/__init__.py delete mode 100644 sunkit_image/tests/test_coalignment.py rename sunkit_image/{coalignment_module/util => utils}/tests/test_decorators.py (72%) diff --git a/docs/code_ref/coalignment_module.rst b/docs/code_ref/coalignment_module.rst deleted file mode 100644 index 3a2dcf69..00000000 --- a/docs/code_ref/coalignment_module.rst +++ /dev/null @@ -1 +0,0 @@ -.. automodapi:: sunkit_image.coalignment_module diff --git a/docs/code_ref/index.rst b/docs/code_ref/index.rst index 4b8ae818..2ed0fb42 100644 --- a/docs/code_ref/index.rst +++ b/docs/code_ref/index.rst @@ -9,7 +9,6 @@ API Reference asda coalignment - coalignment_module enhance granule radial diff --git a/docs/how_to_guide/adding_a_coalignment_method.rst b/docs/how_to_guide/adding_a_coalignment_method.rst index 71cce12a..a09873a8 100644 --- a/docs/how_to_guide/adding_a_coalignment_method.rst +++ b/docs/how_to_guide/adding_a_coalignment_method.rst @@ -4,19 +4,19 @@ Add a New Coalignment Method **************************** -You can add a custom coalignment method in the sunkit-image package using the decorator :func:`~sunkit_image.coalignment_module.register_coalignment_method`: +You can add a custom coalignment method in the sunkit-image package using the decorator :func:`~sunkit_image.utils.decorators.register_coalignment_method`: .. code-block:: python - from sunkit_image.coalignment_module.util.decorators import register_coalignment_method + from sunkit_image.utils.decorators import register_coalignment_method @register_coalignment_method("my_coalign") def my_coalignment_method(input_array, template_array): # Your coalignment code goes here - # This should encompass calculating the shifts, applying these shifts to the data, + # This should encompass calculating the shifts, # handling NaN values appropriately. - # Return the shifts in a affine style, such as the scale - return affineParams(scale, rotation, translation) + # Return the shifts in a affine style, such as the scale, rotation and translation. + return affine_params(scale, rotation, translation) Decorator Parameters ==================== diff --git a/docs/how_to_guide/using_new_coalignment_interface.rst b/docs/how_to_guide/using_new_coalignment_interface.rst index 141082f6..43bbddd9 100644 --- a/docs/how_to_guide/using_new_coalignment_interface.rst +++ b/docs/how_to_guide/using_new_coalignment_interface.rst @@ -5,15 +5,15 @@ Using the Coalignment Interface ******************************* This guide explains how to use the coalignment interface in the sunkit-image package to align solar images. -The :func:`~sunkit_image.coalignment_module.coalignment` function facilitates image coalignment using various registered methods. +The :func:`~sunkit_image.coalignment.coalignment` function facilitates image coalignment using various registered methods. Function Overview ================= -The :func:`~sunkit_image.coalignment_module.coalignment` function performs image coalignment using a specified method that is registered using the decorator :func:`~sunkit_image.coalignment_module.register_coalignment_method`. +The :func:`~sunkit_image.coalignment.coalignment` function performs image coalignment using a specified method that is registered using the decorator :func:`~sunkit_image.utils.decorators.register_coalignment_method`. For registering a new method, please check :ref:`this ` guide. -Refer to the docstring of :func:`~sunkit_image.coalignment_module.coalignment` for detailed information on the parameters, return values, and exceptions. +Refer to the docstring of :func:`~sunkit_image.coalignment.coalignment` for detailed information on the parameters, return values, and exceptions. Function Parameters =================== @@ -35,12 +35,12 @@ Raises Example Usage ============= -Below is an example of how to use the :func:`~sunkit_image.coalignment_module.coalignment` function: +Below is an example of how to use the :func:`~sunkit_image.coalignment.coalignment` function: .. code-block:: python from sunpy.map import Map - from sunkit_image.coalignment_module.interface import coalignment + from sunkit_image.coalignment.interface import coalignment import sunpy.data.sample reference_map = Map(sunpy.data.sample.AIA_193_CUTOUT01_IMAGE) @@ -48,7 +48,7 @@ Below is an example of how to use the :func:`~sunkit_image.coalignment_module.co coaligned_map = coalignment(reference_map, target_map, method="match_template") -The :func:`~sunkit_image.coalignment_module.coalignment` function aligns the ``target_map`` to the ``reference_map`` using the specified method (e.g., ``"match_template"``). +The :func:`~sunkit_image.coalignment.coalignment` function aligns the ``target_map`` to the ``reference_map`` using the specified method (e.g., ``"match_template"``). Registered Methods ================== @@ -59,7 +59,7 @@ You can add custom methods as described in :ref:`this `__. -""" - -import matplotlib.pyplot as plt -import sunpy.data.sample -from sunpy.map import Map - -from sunkit_image import coalignment - -############################################################################### -# Create a `~sunpy.map.MapSequence` using sample data. - -mc = Map( - [ - sunpy.data.sample.AIA_193_CUTOUT01_IMAGE, - sunpy.data.sample.AIA_193_CUTOUT02_IMAGE, - sunpy.data.sample.AIA_193_CUTOUT03_IMAGE, - sunpy.data.sample.AIA_193_CUTOUT04_IMAGE, - sunpy.data.sample.AIA_193_CUTOUT05_IMAGE, - ], - sequence=True, -) - -############################################################################### -# Plot an animation of the `~sunpy.map.MapSequence` that we can compare with -# the coaligned MapSequence. - -plt.figure() -anim = mc.plot() - -############################################################################### -# To coalign the `~sunpy.map.MapSequence`, apply the -# :func:`~sunkit_image.coalignment.mapsequence_coalign_by_match_template` -# function. - -coaligned = coalignment.mapsequence_coalign_by_match_template(mc) - -############################################################################### -# This returns a new `~sunpy.map.MapSequence` coaligned to a template -# extracted from the center of the first map in the `~sunpy.map.MapSequence`, -# with the dimensions clipped as required. -# -# For a full list of options and functionality of the coalignment algorithm, -# see `~sunkit_image.coalignment.mapsequence_coalign_by_match_template`. -# -# Now, let's plot an animation of the coaligned MapSequence to compare with -# the original. - -plt.figure() -anim_coalign = coaligned.plot() - -############################################################################### -# If you just want to calculate the shifts required to compensate for solar -# rotation relative to the first map in the `~sunpy.map.MapSequence` without -# applying the shifts, use -# :func:`~sunkit_image.coalignment.calculate_match_template_shift`: - -shifts = coalignment.calculate_match_template_shift(mc) - -############################################################################### -# This is the function used to calculate the shifts in -# :func:`~sunkit_image.coalignment.mapsequence_coalign_by_match_template`. -# The shifts calculated here can be passed directly to the coalignment -# function. - -coaligned_shifts = coalignment.mapsequence_coalign_by_match_template(mc, shift=shifts) - -plt.figure() -anim_coaligned_shifts = coaligned_shifts.plot() - -plt.show() diff --git a/sunkit_image/coalignment/__init__.py b/sunkit_image/coalignment/__init__.py new file mode 100644 index 00000000..4c82fe17 --- /dev/null +++ b/sunkit_image/coalignment/__init__.py @@ -0,0 +1,4 @@ +from sunkit_image.coalignment.interface import coalignment +from sunkit_image.coalignment.match_template import match_template_coalign + +__all__ = ["coalignment"] diff --git a/sunkit_image/coalignment_module/interface.py b/sunkit_image/coalignment/interface.py similarity index 89% rename from sunkit_image/coalignment_module/interface.py rename to sunkit_image/coalignment/interface.py index f0794177..712ed076 100644 --- a/sunkit_image/coalignment_module/interface.py +++ b/sunkit_image/coalignment/interface.py @@ -4,12 +4,12 @@ import sunpy.map from sunpy.util.exceptions import SunpyUserWarning -from sunkit_image.coalignment_module.util.decorators import registered_methods +from sunkit_image.utils.decorators import registered_methods __all__ = ["coalignment"] -def update_metadata(target_map, affineParams): +def update_fits_wcs_metadata(target_map, affine_params): """ Update the metadata of a sunpy Map object based on affine transformation parameters. @@ -18,7 +18,7 @@ def update_metadata(target_map, affineParams): ---------- target_map : `sunpy.map.Map` The original map object whose metadata is to be updated. - affineParams : object + affine_params : object An object containing the affine transformation parameters. This object must have attributes for translation (dx, dy), scale, and rotation. @@ -31,9 +31,9 @@ def update_metadata(target_map, affineParams): pc_matrix = target_map.rotation_matrix # Extacting the affine parameters - translation = affineParams.translation - scale = affineParams.scale - rotation = affineParams.rotation + translation = affine_params.translation + scale = affine_params.scale + rotation = affine_params.rotation # Updating the reference pixel new_ref = ref_pix + translation @@ -112,5 +112,5 @@ def coalignment(reference_map, target_map, method): warn_user_of_nan(target_array, "target") warn_user_of_nan(reference_array, "reference") - affineParams = registered_methods[method](target_array, reference_array) - return update_metadata(target_map, affineParams) + affine_params = registered_methods[method](target_array, reference_array) + return update_fits_wcs_metadata(target_map, affine_params) diff --git a/sunkit_image/coalignment_module/match_template.py b/sunkit_image/coalignment/match_template.py similarity index 93% rename from sunkit_image/coalignment_module/match_template.py rename to sunkit_image/coalignment/match_template.py index 3ee6746f..3411aa57 100644 --- a/sunkit_image/coalignment_module/match_template.py +++ b/sunkit_image/coalignment/match_template.py @@ -4,12 +4,12 @@ import numpy as np from skimage.feature import match_template -from sunkit_image.coalignment_module.util.decorators import register_coalignment_method +from sunkit_image.utils.decorators import register_coalignment_method __all__ = ["match_template_coalign"] -class affineParams(NamedTuple): +class affine_params(NamedTuple): scale: tuple[tuple[float, float], tuple[float, float]] rotation: float translation: tuple[float, float] @@ -111,7 +111,7 @@ def match_template_coalign(input_array, template_array): Returns ------- - AffineParams + affine_params A named tuple containing the following affine transformation parameters: - scale: list A list of tuples representing the scale transformation as an identity matrix. @@ -127,4 +127,4 @@ def match_template_coalign(input_array, template_array): # Particularly for this, there is no change in the rotation or scaling, hence the hardcoded values of scale to 1.0 & rotation to identity matrix scale = [(1.0, 0), (0, 1.0)] rotation = 0.0 # Considering the angle is in radians by default - return affineParams(scale=scale, rotation=rotation, translation=(x_shift * u.pixel, y_shift * u.pixel)) + return affine_params(scale=scale, rotation=rotation, translation=(x_shift * u.pixel, y_shift * u.pixel)) diff --git a/sunkit_image/coalignment_module/tests/__init__.py b/sunkit_image/coalignment/tests/__init__.py similarity index 100% rename from sunkit_image/coalignment_module/tests/__init__.py rename to sunkit_image/coalignment/tests/__init__.py diff --git a/sunkit_image/coalignment_module/tests/conftest.py b/sunkit_image/coalignment/tests/conftest.py similarity index 100% rename from sunkit_image/coalignment_module/tests/conftest.py rename to sunkit_image/coalignment/tests/conftest.py diff --git a/sunkit_image/coalignment_module/tests/test_coalignment.py b/sunkit_image/coalignment/tests/test_coalignment.py similarity index 100% rename from sunkit_image/coalignment_module/tests/test_coalignment.py rename to sunkit_image/coalignment/tests/test_coalignment.py diff --git a/sunkit_image/coalignment_module/tests/test_match_template.py b/sunkit_image/coalignment/tests/test_match_template.py similarity index 96% rename from sunkit_image/coalignment_module/tests/test_match_template.py rename to sunkit_image/coalignment/tests/test_match_template.py index b9e4a3d9..551b5bf5 100644 --- a/sunkit_image/coalignment_module/tests/test_match_template.py +++ b/sunkit_image/coalignment/tests/test_match_template.py @@ -4,7 +4,7 @@ from numpy.testing import assert_allclose from skimage.feature import match_template -from sunkit_image.coalignment_module.match_template import ( +from sunkit_image.coalignment.match_template import ( _find_best_match_location, _get_correlation_shifts, _parabolic_turning_point, diff --git a/sunkit_image/coalignment_module/__init__.py b/sunkit_image/coalignment_module/__init__.py deleted file mode 100644 index fb75e449..00000000 --- a/sunkit_image/coalignment_module/__init__.py +++ /dev/null @@ -1,5 +0,0 @@ -from sunkit_image.coalignment_module.interface import coalignment -from sunkit_image.coalignment_module.match_template import match_template_coalign -from sunkit_image.coalignment_module.util.decorators import register_coalignment_method - -__all__ = ["coalignment", "match_template_coalign", "register_coalignment_method"] diff --git a/sunkit_image/coalignment_module/util/__init__.py b/sunkit_image/coalignment_module/util/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/sunkit_image/coalignment_module/util/decorators.py b/sunkit_image/coalignment_module/util/decorators.py deleted file mode 100644 index 8d4cff0f..00000000 --- a/sunkit_image/coalignment_module/util/decorators.py +++ /dev/null @@ -1,21 +0,0 @@ -__all__ = ["register_coalignment_method", "registered_methods"] - -# Global Dictionary to store the registered methods and their names -registered_methods = {} - - -def register_coalignment_method(name): - """ - Registers a coalignment method to be used by the coalignment interface. - - Parameters - ---------- - name : str - The name of the coalignment method. - """ - - def decorator(func): - registered_methods[name] = func - return func - - return decorator diff --git a/sunkit_image/coalignment_module/util/tests/__init__.py b/sunkit_image/coalignment_module/util/tests/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/sunkit_image/tests/test_coalignment.py b/sunkit_image/tests/test_coalignment.py deleted file mode 100644 index ee77437f..00000000 --- a/sunkit_image/tests/test_coalignment.py +++ /dev/null @@ -1,415 +0,0 @@ -import warnings -from copy import deepcopy -from pathlib import Path - -import astropy.units as u -import numpy as np -import pytest -import sunpy.data.test -from astropy.coordinates import SkyCoord -from numpy.testing import assert_allclose, assert_array_almost_equal -from scipy.ndimage import shift as sp_shift -from sunpy.map import Map, MapSequence -from sunpy.util import SunpyUserWarning - -from sunkit_image.coalignment import ( - _calculate_clipping, - _check_for_nonfinite_entries, - _clip_edges, - _default_fmap_function, - _find_best_match_location, - _get_correlation_shifts, - _lower_clip, - _parabolic_turning_point, - _upper_clip, - apply_shifts, - calculate_match_template_shift, - mapsequence_coalign_by_match_template, - match_template_to_layer, -) - - -@pytest.fixture() -def aia171_test_clipping(): - return np.asarray([0.2, -0.3, -1.0001]) - - -@pytest.fixture() -def aia171_test_map(): - testpath = sunpy.data.test.rootdir - return sunpy.map.Map(Path(testpath) / "aia_171_level1.fits") - - -@pytest.fixture() -def aia171_test_shift(): - return np.array([3, 5]) - - -@pytest.fixture() -def aia171_test_map_layer(aia171_test_map): - return aia171_test_map.data.astype("float32") # SciPy 1.4 requires at least 16-bit floats - - -@pytest.fixture() -def aia171_test_map_layer_shape(aia171_test_map_layer): - return aia171_test_map_layer.shape - - -@pytest.fixture() -def aia171_test_template(aia171_test_shift, aia171_test_map_layer, aia171_test_map_layer_shape): - # Test template - a1 = aia171_test_shift[0] + aia171_test_map_layer_shape[0] // 4 - a2 = aia171_test_shift[0] + 3 * aia171_test_map_layer_shape[0] // 4 - b1 = aia171_test_shift[1] + aia171_test_map_layer_shape[1] // 4 - b2 = aia171_test_shift[1] + 3 * aia171_test_map_layer_shape[1] // 4 - return aia171_test_map_layer[a1:a2, b1:b2] - - -@pytest.fixture() -def aia171_test_template_shape(aia171_test_template): - return aia171_test_template.shape - - -def test_parabolic_turning_point(): - assert _parabolic_turning_point(np.asarray([6.0, 2.0, 0.0])) == 1.5 - - -def test_check_for_nonfinite_entries(): - with warnings.catch_warnings(record=True) as warning_list: - a = np.zeros((3, 3)) - b = np.ones((3, 3)) - _check_for_nonfinite_entries(a, b) - - assert len(warning_list) == 0 - - for i in range(9): - for non_number in [np.nan, np.inf]: - a = np.ones(9) - a[i] = non_number - b = a.reshape(3, 3) - - with pytest.warns(SunpyUserWarning, match="The layer image has nonfinite entries.") as warning_list: - _check_for_nonfinite_entries(b, np.ones((3, 3))) - - assert len(warning_list) == 1 - - with pytest.warns(SunpyUserWarning, match="The template image has nonfinite entries.") as warning_list: - _check_for_nonfinite_entries(np.ones((3, 3)), b) - - assert len(warning_list) == 1 - - with pytest.warns(Warning) as warning_list: - _check_for_nonfinite_entries(b, b) - - assert len(warning_list) == 2 - - -def test_match_template_to_layer( - aia171_test_map_layer, - aia171_test_template, - aia171_test_map_layer_shape, - aia171_test_template_shape, -): - result = match_template_to_layer(aia171_test_map_layer, aia171_test_template) - assert_allclose( - result.shape[0], - aia171_test_map_layer_shape[0] - aia171_test_template_shape[0] + 1, - ) - assert_allclose( - result.shape[1], - aia171_test_map_layer_shape[1] - aia171_test_template_shape[1] + 1, - ) - assert_allclose(np.max(result), 1.00, rtol=1e-2, atol=0) - - -def test_get_correlation_shifts(): - # Input array is 3 by 3, the most common case - test_array = np.zeros((3, 3)) - test_array[1, 1] = 1 - test_array[2, 1] = 0.6 - test_array[1, 2] = 0.2 - y_test, x_test = _get_correlation_shifts(test_array) - assert_allclose(y_test.value, 0.214285714286, rtol=1e-2, atol=0) - assert_allclose(x_test.value, 0.0555555555556, rtol=1e-2, atol=0) - - # Input array is smaller in one direction than the other. - test_array = np.zeros((2, 2)) - test_array[0, 0] = 0.1 - test_array[0, 1] = 0.2 - test_array[1, 0] = 0.4 - test_array[1, 1] = 0.3 - y_test, x_test = _get_correlation_shifts(test_array) - assert_allclose(y_test.value, 1.0, rtol=1e-2, atol=0) - assert_allclose(x_test.value, 0.0, rtol=1e-2, atol=0) - - # Input array is too big in either direction - test_array = np.zeros((4, 3)) - with pytest.raises(ValueError, match="Input array dimension should not be greater than 3 in any dimension."): - _get_correlation_shifts(test_array) - - test_array = np.zeros((3, 4)) - with pytest.raises(ValueError, match="Input array dimension should not be greater than 3 in any dimension."): - _get_correlation_shifts(test_array) - - -def test_find_best_match_location(aia171_test_map_layer, aia171_test_template, aia171_test_shift): - result = match_template_to_layer(aia171_test_map_layer, aia171_test_template) - match_location = u.Quantity(_find_best_match_location(result)) - assert_allclose(match_location.value, np.array(result.shape) / 2.0 - 0.5 + aia171_test_shift, rtol=1e-3, atol=0) - - -def test_lower_clip(aia171_test_clipping): - # No element is less than zero - test_array = np.asarray([1.1, 0.1, 3.0]) - assert _lower_clip(test_array) == 0 - assert _lower_clip(aia171_test_clipping) == 2.0 - - -def test_upper_clip(aia171_test_clipping): - assert _upper_clip(aia171_test_clipping) == 1.0 - # No element is greater than zero - test_array = np.asarray([-1.1, -0.1, -3.0]) - assert _upper_clip(test_array) == 0 - - -def test_calculate_clipping(aia171_test_clipping): - answer = _calculate_clipping(aia171_test_clipping * u.pix, aia171_test_clipping * u.pix) - assert_array_almost_equal(answer, ([2.0, 1.0] * u.pix, [2.0, 1.0] * u.pix)) - - -def test_clip_edges(): - a = np.zeros(shape=(341, 156)) - yclip = [4, 0] * u.pix - xclip = [1, 2] * u.pix - new_a = _clip_edges(a, yclip, xclip) - assert a.shape[0] - (yclip[0].value + yclip[1].value) == new_a.shape[0] - assert a.shape[1] - (xclip[0].value + xclip[1].value) == new_a.shape[1] - - -def test__default_fmap_function(): - assert _default_fmap_function([1, 2, 3]).dtype == np.float64(1).dtype - - -# -# The following tests test functions that have mapsequences as inputs -# -# Setup the test mapsequences that have displacements -# Pixel displacements have the y-displacement as the first entry - - -@pytest.fixture() -def aia171_test_mc_pixel_displacements(): - return np.asarray([1.6, 10.1]) - - -@pytest.fixture() -def aia171_mc_arcsec_displacements(aia171_test_mc_pixel_displacements, aia171_test_map): - return { - "x": np.asarray([0.0, aia171_test_mc_pixel_displacements[1] * aia171_test_map.scale[0].value]) * u.arcsec, - "y": np.asarray([0.0, aia171_test_mc_pixel_displacements[0] * aia171_test_map.scale[1].value]) * u.arcsec, - } - - -@pytest.fixture() -def aia171_test_mc(aia171_test_map, aia171_test_map_layer, aia171_test_mc_pixel_displacements): - # Create a map that has been shifted a known amount. - d1 = sp_shift(aia171_test_map_layer, aia171_test_mc_pixel_displacements) - m1 = Map((d1, aia171_test_map.meta)) - # Create the mapsequence - return Map([aia171_test_map, m1], sequence=True) - - -def test_calculate_match_template_shift( - aia171_test_mc, - aia171_mc_arcsec_displacements, - aia171_test_map, - aia171_test_map_layer, - aia171_test_map_layer_shape, -): - # Define these local variables to make the code more readable - ny = aia171_test_map_layer_shape[0] - nx = aia171_test_map_layer_shape[1] - - # Test to see if the code can recover the displacements. - test_displacements = calculate_match_template_shift(aia171_test_mc) - assert_allclose(test_displacements["x"], aia171_mc_arcsec_displacements["x"], rtol=5e-2, atol=0) - assert_allclose(test_displacements["y"], aia171_mc_arcsec_displacements["y"], rtol=5e-2, atol=0) - - # Test setting the template as a ndarray - template_ndarray = aia171_test_map_layer[ny // 4 : 3 * ny // 4, nx // 4 : 3 * nx // 4] - test_displacements = calculate_match_template_shift(aia171_test_mc, template=template_ndarray) - assert_allclose(test_displacements["x"], aia171_mc_arcsec_displacements["x"], rtol=5e-2, atol=0) - assert_allclose(test_displacements["y"], aia171_mc_arcsec_displacements["y"], rtol=5e-2, atol=0) - - # Test setting the template as GenericMap - submap = aia171_test_map.submap([nx / 4, ny / 4] * u.pix, top_right=[3 * nx / 4, 3 * ny / 4] * u.pix) - test_displacements = calculate_match_template_shift(aia171_test_mc, template=submap) - assert_allclose(test_displacements["x"], aia171_mc_arcsec_displacements["x"], rtol=5e-2, atol=0) - assert_allclose(test_displacements["y"], aia171_mc_arcsec_displacements["y"], rtol=5e-2, atol=0) - - # Test setting the template as something other than a ndarray and a - # GenericMap. This should throw a ValueError. - with pytest.raises(ValueError, match="Invalid template."): - calculate_match_template_shift(aia171_test_mc, template="broken") - - -def test_mapsequence_coalign_by_match_template(aia171_test_mc, aia171_test_map_layer_shape): - # Define these local variables to make the code more readable - ny = aia171_test_map_layer_shape[0] - nx = aia171_test_map_layer_shape[1] - - # Get the calculated test displacements - test_displacements = calculate_match_template_shift(aia171_test_mc) - - # Test passing in displacements - test_mc = mapsequence_coalign_by_match_template(aia171_test_mc, shift=test_displacements) - - # Make sure the output is a mapsequence - assert isinstance(test_mc, MapSequence) - - # Test returning with no clipping. Output layers should have the same size - # as the original input layer. - test_mc = mapsequence_coalign_by_match_template(aia171_test_mc, clip=False) - assert test_mc[0].data.shape == aia171_test_map_layer_shape - assert test_mc[1].data.shape == aia171_test_map_layer_shape - - # Test the returned mapsequence using the default - clipping on. - # All output layers should have the same size - # which is smaller than the input by a known amount - test_mc = mapsequence_coalign_by_match_template(aia171_test_mc) - x_displacement_pixels = test_displacements["x"] / test_mc[0].scale[0] - y_displacement_pixels = test_displacements["y"] / test_mc[0].scale[1] - expected_clipping = _calculate_clipping(y_displacement_pixels, x_displacement_pixels) - number_of_pixels_clipped = [np.sum(np.abs(expected_clipping[0])), np.sum(np.abs(expected_clipping[1]))] - - assert test_mc[0].data.shape == ( - ny - number_of_pixels_clipped[0].value, - nx - number_of_pixels_clipped[1].value, - ) - assert test_mc[1].data.shape == ( - ny - number_of_pixels_clipped[0].value, - nx - number_of_pixels_clipped[1].value, - ) - - # Test the returned mapsequence explicitly using clip=True. - # All output layers should have the same size - # which is smaller than the input by a known amount - test_mc = mapsequence_coalign_by_match_template(aia171_test_mc, clip=True) - x_displacement_pixels = test_displacements["x"] / test_mc[0].scale[0] - y_displacement_pixels = test_displacements["y"] / test_mc[0].scale[1] - expected_clipping = _calculate_clipping(y_displacement_pixels, x_displacement_pixels) - number_of_pixels_clipped = [np.sum(np.abs(expected_clipping[0])), np.sum(np.abs(expected_clipping[1]))] - - assert test_mc[0].data.shape == ( - ny - number_of_pixels_clipped[0].value, - nx - number_of_pixels_clipped[1].value, - ) - assert test_mc[1].data.shape == ( - ny - number_of_pixels_clipped[0].value, - nx - number_of_pixels_clipped[1].value, - ) - - # Test that the reference pixel of each map in the coaligned mapsequence is - # correct. - for im, m in enumerate(aia171_test_mc): - for i_s, s in enumerate(["x", "y"]): - assert_allclose( - aia171_test_mc[im].reference_pixel[i_s] - test_mc[im].reference_pixel[i_s], - test_displacements[s][im] / m.scale[i_s], - rtol=5e-2, - atol=0, - ) - - -def test_apply_shifts(aia171_test_map): - # take two copies of the AIA image and create a test mapsequence. - mc = Map([aia171_test_map, aia171_test_map], sequence=True) - - # Pixel displacements have the y-displacement as the first entry - numerical_displacements = {"x": np.asarray([0.0, -2.7]), "y": np.asarray([0.0, -10.4])} - astropy_displacements = { - "x": numerical_displacements["x"] * u.pix, - "y": numerical_displacements["y"] * u.pix, - } - - # Test to see if the code can detect the fact that the input shifts are not - # astropy quantities - with pytest.raises(TypeError): - apply_shifts(mc, numerical_displacements["y"], astropy_displacements["x"]) - with pytest.raises(TypeError): - apply_shifts(mc, astropy_displacements["y"], numerical_displacements["x"]) - with pytest.raises(TypeError): - apply_shifts(mc, numerical_displacements["y"], numerical_displacements["x"]) - - # Test returning with no extra options - the code returns a mapsequence only - test_output = apply_shifts(mc, astropy_displacements["y"], astropy_displacements["x"]) - assert isinstance(test_output, MapSequence) - - # Test returning with no clipping. Output layers should have the same size - # as the original input layer. - test_mc = apply_shifts(mc, astropy_displacements["y"], astropy_displacements["x"], clip=False) - assert test_mc[0].data.shape == aia171_test_map.data.shape - assert test_mc[1].data.shape == aia171_test_map.data.shape - - # Test returning with clipping. Output layers should be smaller than the - # original layer by a known amount. - test_mc = apply_shifts(mc, astropy_displacements["y"], astropy_displacements["x"], clip=True) - for i in range(len(test_mc.maps)): - clipped = _calculate_clipping(astropy_displacements["y"], astropy_displacements["x"]) - assert test_mc[i].data.shape[0] == mc[i].data.shape[0] - np.max(clipped[0].value) - assert test_mc[i].data.shape[1] == mc[i].data.shape[1] - np.max(clipped[1].value) - - # Test returning with default clipping. The default clipping is set to - # true, that is the mapsequence is clipped. Output layers should be smaller - # than the original layer by a known amount. - test_mc = apply_shifts(mc, astropy_displacements["y"], astropy_displacements["x"]) - for i in range(len(test_mc.maps)): - clipped = _calculate_clipping(astropy_displacements["y"], astropy_displacements["x"]) - assert test_mc[i].data.shape[0] == mc[i].data.shape[0] - np.max(clipped[0].value) - assert test_mc[i].data.shape[1] == mc[i].data.shape[1] - np.max(clipped[1].value) - - # Test that keywords are correctly passed - # Test for an individual keyword - test_mc = apply_shifts(mc, astropy_displacements["y"], astropy_displacements["x"], clip=False, cval=np.nan) - assert np.all(np.logical_not(np.isfinite(test_mc[1].data[:, -1]))) - - # Test for a combination of keywords, and that changing the interpolation - # order and how the edges are treated changes the results. - test_mc1 = apply_shifts( - mc, - astropy_displacements["y"], - astropy_displacements["x"], - clip=False, - order=2, - mode="reflect", - ) - test_mc2 = apply_shifts(mc, astropy_displacements["y"], astropy_displacements["x"], clip=False) - assert np.all(test_mc1[1].data[:, -1] != test_mc2[1].data[:, -1]) - - -@pytest.fixture() -def aia171_test_submap(aia171_test_map): - return aia171_test_map.submap(SkyCoord(((0, 0), (400, 500)) * u.arcsec, frame=aia171_test_map.coordinate_frame)) - - -@pytest.fixture() -def aia171_test_mapsequence(aia171_test_submap): - m2header = deepcopy(aia171_test_submap.meta) - m2header["date-obs"] = "2011-02-15T01:00:00.34" - m2 = sunpy.map.Map((aia171_test_submap.data, m2header)) - m3header = deepcopy(aia171_test_submap.meta) - m3header["date-obs"] = "2011-02-15T02:00:00.34" - m3 = sunpy.map.Map((aia171_test_submap.data, m3header)) - return sunpy.map.Map([aia171_test_submap, m2, m3], sequence=True) - - -@pytest.fixture() -def known_displacements_layer_index0(): - # Known displacements for these mapsequence layers when the layer index is set to 0 - return {"x": np.asarray([0.0, -9.827465, -19.676442]), "y": np.asarray([0.0, 0.251137, 0.490014])} - - -@pytest.fixture() -def known_displacements_layer_index1(): - # Known displacements for these mapsequence layers when the layer index is set to 1 - return {"x": np.asarray([9.804878, 0.0, -9.827465]), "y": np.asarray([-0.263369, 0.0, 0.251137])} diff --git a/sunkit_image/utils/decorators.py b/sunkit_image/utils/decorators.py index 735ace83..9768dba8 100644 --- a/sunkit_image/utils/decorators.py +++ b/sunkit_image/utils/decorators.py @@ -5,7 +5,10 @@ import numpy as np from sunpy.map import GenericMap, Map -__all__ = ["accept_array_or_map"] +__all__ = ["accept_array_or_map","register_coalignment_method", "registered_methods"] + +# Global Dictionary to store the registered methods and their names +registered_methods = {} def accept_array_or_map(*, arg_name: str, output_to_map=True) -> Callable[[Callable], Callable]: @@ -54,3 +57,20 @@ def inner(*args, **kwargs) -> np.ndarray | GenericMap: return inner return decorate + + +def register_coalignment_method(name): + """ + Registers a coalignment method to be used by the coalignment interface. + + Parameters + ---------- + name : str + The name of the coalignment method. + """ + + def decorator(func): + registered_methods[name] = func + return func + + return decorator diff --git a/sunkit_image/coalignment_module/util/tests/test_decorators.py b/sunkit_image/utils/tests/test_decorators.py similarity index 72% rename from sunkit_image/coalignment_module/util/tests/test_decorators.py rename to sunkit_image/utils/tests/test_decorators.py index 5f3371f2..8ae3e60c 100644 --- a/sunkit_image/coalignment_module/util/tests/test_decorators.py +++ b/sunkit_image/utils/tests/test_decorators.py @@ -1,4 +1,4 @@ -from sunkit_image.coalignment_module.util.decorators import register_coalignment_method, registered_methods +from sunkit_image.utils.decorators import register_coalignment_method, registered_methods def test_register_coalignment_method(): From fcf9eae404a55530c46889b50b37a4e8b0245f50 Mon Sep 17 00:00:00 2001 From: Deus1704 Date: Mon, 15 Jul 2024 11:01:20 +0530 Subject: [PATCH 18/68] removing old coalignment completely, refs fixed, old example removed --- .../adding_a_coalignment_method.rst | 2 +- .../using_new_coalignment_interface.rst | 2 +- sunkit_image/coalignment.py | 562 ------------------ sunkit_image/coalignment/__init__.py | 1 - sunkit_image/utils/decorators.py | 2 +- 5 files changed, 3 insertions(+), 566 deletions(-) delete mode 100644 sunkit_image/coalignment.py diff --git a/docs/how_to_guide/adding_a_coalignment_method.rst b/docs/how_to_guide/adding_a_coalignment_method.rst index a09873a8..f689f8b4 100644 --- a/docs/how_to_guide/adding_a_coalignment_method.rst +++ b/docs/how_to_guide/adding_a_coalignment_method.rst @@ -4,7 +4,7 @@ Add a New Coalignment Method **************************** -You can add a custom coalignment method in the sunkit-image package using the decorator :func:`~sunkit_image.utils.decorators.register_coalignment_method`: +You can add a custom coalignment method in the sunkit-image package using the decorator :func:`~sunkit_image.utils.register_coalignment_method`: .. code-block:: python diff --git a/docs/how_to_guide/using_new_coalignment_interface.rst b/docs/how_to_guide/using_new_coalignment_interface.rst index 43bbddd9..0a784dd6 100644 --- a/docs/how_to_guide/using_new_coalignment_interface.rst +++ b/docs/how_to_guide/using_new_coalignment_interface.rst @@ -10,7 +10,7 @@ The :func:`~sunkit_image.coalignment.coalignment` function facilitates image coa Function Overview ================= -The :func:`~sunkit_image.coalignment.coalignment` function performs image coalignment using a specified method that is registered using the decorator :func:`~sunkit_image.utils.decorators.register_coalignment_method`. +The :func:`~sunkit_image.coalignment.coalignment` function performs image coalignment using a specified method that is registered using the decorator :func:`~sunkit_image.utils.register_coalignment_method`. For registering a new method, please check :ref:`this ` guide. Refer to the docstring of :func:`~sunkit_image.coalignment.coalignment` for detailed information on the parameters, return values, and exceptions. diff --git a/sunkit_image/coalignment.py b/sunkit_image/coalignment.py deleted file mode 100644 index 68ab8a2b..00000000 --- a/sunkit_image/coalignment.py +++ /dev/null @@ -1,562 +0,0 @@ -""" -This module provides routines for the co-alignment of images and -`~sunpy.map.mapsequence.MapSequence` objects through both template matching and -corrections due to solar rotation. -""" - -import warnings -from copy import deepcopy - -import astropy.units as u -import numpy as np -import sunpy.map -from scipy.ndimage import shift -from skimage.feature import match_template -from sunpy.map.mapbase import GenericMap -from sunpy.util.exceptions import SunpyUserWarning - -__all__ = [ - "match_template_to_layer", - "apply_shifts", - "mapsequence_coalign_by_match_template", - "calculate_match_template_shift", -] - - -def _default_fmap_function(data): - """ - This function ensures that the data are floats. - - It is the default data manipulation function for the coalignment - method. - """ - return np.float64(data) - - -def _calculate_shift(this_layer, template): - """ - Calculates the pixel shift required to put the template in the "best" - position on a layer. - - Parameters - ---------- - this_layer : `numpy.ndarray` - A numpy array of size ``(ny, nx)``, where the first two dimensions are - spatial dimensions. - template : `numpy.ndarray` - A numpy array of size ``(N, M)`` where ``N < ny`` and ``M < nx``. - - Returns - ------- - `tuple` - Pixel shifts ``(yshift, xshift)`` relative to the offset of the template - to the input array. - """ - # Warn user if any NANs, Infs, etc are present in the layer or the template - _check_for_nonfinite_entries(this_layer, template) - # Calculate the correlation array matching the template to this layer - corr = match_template_to_layer(this_layer, template) - # Calculate the y and x shifts in pixels - return _find_best_match_location(corr) - - -@u.quantity_input -def _clip_edges(data, yclips: u.pix, xclips: u.pix): - """ - Clips off the "y" and "x" edges of a 2D array according to a list of pixel - values. This function is useful for removing data at the edge of 2d images - that may be affected by shifts from solar de- rotation and layer co- - registration, leaving an image unaffected by edge effects. - - Parameters - ---------- - data : `numpy.ndarray` - A numpy array of shape ``(ny, nx)``. - yclips : `astropy.units.Quantity` - The amount to clip in the y-direction of the data. Has units of - pixels, and values should be whole non-negative numbers. - xclips : `astropy.units.Quantity` - The amount to clip in the x-direction of the data. Has units of - pixels, and values should be whole non-negative numbers. - - Returns - ------- - `numpy.ndarray` - A 2D image with edges clipped off according to ``yclips`` and ``xclips`` - arrays. - """ - ny = data.shape[0] - nx = data.shape[1] - # The purpose of the int below is to ensure integer type since by default - # astropy quantities are converted to floats. - return data[int(yclips[0].value) : ny - int(yclips[1].value), int(xclips[0].value) : nx - int(xclips[1].value)] - - -@u.quantity_input -def _calculate_clipping(y: u.pix, x: u.pix): - """ - Return the upper and lower clipping values for the "y" and "x" directions. - - Parameters - ---------- - y : `astropy.units.Quantity` - An array of pixel shifts in the y-direction for an image. - x : `astropy.units.Quantity` - An array of pixel shifts in the x-direction for an image. - - Returns - ------- - `tuple` - The tuple is of the form ``([y0, y1], [x0, x1])``. - The number of (integer) pixels that need to be clipped off at each - edge in an image. The first element in the tuple is a list that gives - the number of pixels to clip in the y-direction. The first element in - that list is the number of rows to clip at the lower edge of the image - in y. The clipped image has "clipping[0][0]" rows removed from its - lower edge when compared to the original image. The second element in - that list is the number of rows to clip at the upper edge of the image - in y. The clipped image has "clipping[0][1]" rows removed from its - upper edge when compared to the original image. The second element in - the "clipping" tuple applies similarly to the x-direction (image - columns). The parameters ``y0, y1, x0, x1`` have the type - `~astropy.units.Quantity`. - """ - return ( - [_lower_clip(y.value), _upper_clip(y.value)] * u.pix, - [_lower_clip(x.value), _upper_clip(x.value)] * u.pix, - ) - - -def _upper_clip(z): - """ - Find smallest integer bigger than all the positive entries in the input - array. - """ - zcond = z >= 0 - return int(np.max(np.ceil(z[zcond]))) if np.any(zcond) else 0 - - -def _lower_clip(z): - """ - Find smallest positive integer bigger than the absolute values of the - negative entries in the input array. - """ - zcond = z <= 0 - return int(np.max(np.ceil(-z[zcond]))) if np.any(zcond) else 0 - - -def match_template_to_layer(layer, template): - """ - Calculate the correlation array that describes how well the template - matches the layer. All inputs are assumed to be numpy arrays. - - Parameters - ---------- - layer : `numpy.ndarray` - A numpy array of size ``(ny, nx)``. - template : `numpy.ndarray` - A numpy array of size ``(N, M)`` where ``N < ny`` and ``M < nx``. - - Returns - ------- - `numpy.ndarray` - A correlation array between the layer and the template. - The values in the array range between 0 and 1. - """ - return match_template(layer, template) - - -def _find_best_match_location(corr): - """ - Calculate an estimate of the location of the peak of the correlation result - in image pixels. - - Parameters - ---------- - corr : `numpy.ndarray` - A 2D correlation array. - - Returns - ------- - `~astropy.units.Quantity` - The shift amounts ``(y, x)`` in image pixels. Subpixel values are - possible. - """ - # Get the index of the maximum in the correlation function - ij = np.unravel_index(np.argmax(corr), corr.shape) - cor_max_x, cor_max_y = ij[::-1] - - # Get the correlation function around the maximum - array_maximum = corr[ - np.max([0, cor_max_y - 1]) : np.min([cor_max_y + 2, corr.shape[0] - 1]), - np.max([0, cor_max_x - 1]) : np.min([cor_max_x + 2, corr.shape[1] - 1]), - ] - y_shift_maximum, x_shift_maximum = _get_correlation_shifts(array_maximum) - - # Get shift relative to correlation array - y_shift_correlation_array = y_shift_maximum + cor_max_y * u.pix - x_shift_correlation_array = x_shift_maximum + cor_max_x * u.pix - - return y_shift_correlation_array, x_shift_correlation_array - - -def _get_correlation_shifts(array): - """ - Estimate the location of the maximum of a fit to the input array. The - estimation in the "x" and "y" directions are done separately. The location - estimates can be used to implement subpixel shifts between two different - images. - - Parameters - ---------- - array : `numpy.ndarray` - An array with at least one dimension that has three elements. The - input array is at most a 3x3 array of correlation values calculated - by matching a template to an image. - - Returns - ------- - `~astropy.units.Quantity` - The ``(y, x)`` location of the peak of a parabolic fit, in image pixels. - """ - # Check input shape - ny = array.shape[0] - nx = array.shape[1] - if nx > 3 or ny > 3: - msg = "Input array dimension should not be greater than 3 in any dimension." - raise ValueError(msg) - - # Find where the maximum of the input array is - ij = np.unravel_index(np.argmax(array), array.shape) - x_max_location, y_max_location = ij[::-1] - - # Estimate the location of the parabolic peak if there is enough data. - # Otherwise, just return the location of the maximum in a particular - # direction. - y_location = _parabolic_turning_point(array[:, x_max_location]) if ny == 3 else 1.0 * y_max_location - - x_location = _parabolic_turning_point(array[y_max_location, :]) if nx == 3 else 1.0 * x_max_location - - return y_location * u.pix, x_location * u.pix - - -def _parabolic_turning_point(y): - """ - Find the location of the turning point for a parabola ``y(x) = ax^2 + bx + - c``, given input values ``y(-1), y(0), y(1)``. The maximum is located at - ``x0 = -b / 2a``. Assumes that the input array represents an equally spaced - sampling at the locations ``y(-1), y(0) and y(1)``. - - Parameters - ---------- - y : `numpy.ndarray` - A one dimensional numpy array of shape "3" with entries that sample the - parabola at "-1", "0", and "1". - - Returns - ------- - `float` - A float, the location of the parabola maximum. - """ - numerator = -0.5 * y.dot([-1, 0, 1]) - denominator = y.dot([1, -2, 1]) - return numerator / denominator - - -def _check_for_nonfinite_entries(layer_image, template_image): - """ - Issue a warning if there is any nonfinite entry in the layer or template - images. - - Parameters - ---------- - layer_image : `numpy.ndarray` - A two-dimensional `numpy.ndarray`. - template_image : `numpy.ndarray` - A two-dimensional `numpy.ndarray`. - """ - if not np.all(np.isfinite(layer_image)): - warnings.warn( - "The layer image has nonfinite entries. " - "This could cause errors when calculating shift between two " - "images. Please make sure there are no infinity or " - "Not a Number values. For instance, replacing them with a " - "local mean.", - SunpyUserWarning, - stacklevel=3, - ) - - if not np.all(np.isfinite(template_image)): - warnings.warn( - "The template image has nonfinite entries. " - "This could cause errors when calculating shift between two " - "images. Please make sure there are no infinity or " - "Not a Number values. For instance, replacing them with a " - "local mean.", - SunpyUserWarning, - stacklevel=3, - ) - - -@u.quantity_input -def apply_shifts(mc, yshift: u.pix, xshift: u.pix, *, clip=True, **kwargs): - """ - Apply a set of pixel shifts to a `~sunpy.map.MapSequence`, and return a new - `~sunpy.map.MapSequence`. - - Parameters - ---------- - mc : `sunpy.map.MapSequence` - A `~sunpy.map.MapSequence` of shape ``(ny, nx, nt)``, where ``nt`` is the number of - layers in the `~sunpy.map.MapSequence`. ``ny`` is the number of pixels in the - "y" direction, ``nx`` is the number of pixels in the "x" direction. - yshift : `~astropy.units.Quantity` - An array of pixel shifts in the y-direction for an image. - xshift : `~astropy.units.Quantity` - An array of pixel shifts in the x-direction for an image. - clip : `bool`, optional - If `True` (default), then clip off "x", "y" edges of the maps in the sequence that are - potentially affected by edges effects. - - Notes - ----- - All other keywords are passed to `scipy.ndimage.shift`. - - Returns - ------- - `sunpy.map.MapSequence` - A `~sunpy.map.MapSequence` of the same shape as the input. All layers in - the `~sunpy.map.MapSequence` have been shifted according the input shifts. - """ - # New mapsequence will be constructed from this list - new_mc = [] - - # Calculate the clipping - if clip: - yclips, xclips = _calculate_clipping(-yshift, -xshift) - - # Shift the data and construct the mapsequence - for i, m in enumerate(mc): - shifted_data = shift(deepcopy(m.data), [yshift[i].value, xshift[i].value], **kwargs) - new_meta = deepcopy(m.meta) - # Clip if required. Use the submap function to return the appropriate - # portion of the data. - if clip: - shifted_data = _clip_edges(shifted_data, yclips, xclips) - new_meta["naxis1"] = shifted_data.shape[1] - new_meta["naxis2"] = shifted_data.shape[0] - # Add one to go from zero-based to one-based indexing - new_meta["crpix1"] = m.reference_pixel.x.value + 1 + xshift[i].value - xshift[0].value - new_meta["crpix2"] = m.reference_pixel.y.value + 1 + yshift[i].value - yshift[0].value - - new_map = sunpy.map.Map(shifted_data, new_meta) - - # Append to the list - new_mc.append(new_map) - - return sunpy.map.Map(new_mc, sequence=True) - - -def calculate_match_template_shift(mc, template=None, layer_index=0, func=_default_fmap_function): - """ - Calculate the arcsecond shifts necessary to co-register the layers in a - `~sunpy.map.MapSequence` according to a template taken from that - `~sunpy.map.MapSequence`. - - When using this functionality, it is a good idea to check that the shifts - that were applied to were reasonable and expected. One way of checking this - is to animate the original `~sunpy.map.MapSequence`, animate the coaligned - `~sunpy.map.MapSequence`, and compare the differences you see to the - calculated shifts. - - Parameters - ---------- - mc : `sunpy.map.MapSequence` - A `~sunpy.map.MapSequence` of shape ``(ny, nx, nt)``, where ``nt`` is the number of - layers in the `~sunpy.map.MapSequence`. - template : {`None` , `~sunpy.map.Map` , `numpy.ndarray`}, optional - The template used in the matching. If an ~numpy.ndarray` is passed, - the `numpy.ndarray` has to have two dimensions. - layer_index : `int`, optional - The template is assumed to refer to the map in the `~sunpy.map.MapSequence` - indexed by the value of "layer_index". Displacements of all maps in the - `~sunpy.map.MapSequence` are assumed to be relative to this layer. The - displacements of the template relative to this layer are therefore - ``(0, 0)``. - func : function, optional - A function which is applied to the data values before the coalignment - method is applied. This can be useful in coalignment, because it is - sometimes better to co-align on a function of the data rather than the - data itself. The calculated shifts are applied to the original data. - Examples of useful functions to consider for EUV images are the - logarithm or the square root. The function is of the form - ``func = F(data)``. The default function ensures that the data are - floats. - """ - nt = len(mc.maps) - - # Calculate a template. If no template is passed then define one - # from the index layer. - if template is None: - # Size of the data - ny = mc.maps[layer_index].data.shape[0] - nx = mc.maps[layer_index].data.shape[1] - tplate = mc.maps[layer_index].data[int(ny / 4) : int(3 * ny / 4), int(nx / 4) : int(3 * nx / 4)] - elif isinstance(template, GenericMap): - tplate = template.data - elif isinstance(template, np.ndarray): - tplate = template - else: - msg = "Invalid template." - raise ValueError(msg) - - # Apply the function to the template - tplate = func(tplate) - - # Storage for the pixel shift - xshift_keep = np.zeros(nt) * u.pix - yshift_keep = np.zeros_like(xshift_keep) - - # Storage for the arcsecond shift - xshift_arcseconds = np.zeros(nt) * u.arcsec - yshift_arcseconds = np.zeros_like(xshift_arcseconds) - - # Match the template and calculate shifts - for i, m in enumerate(mc.maps): - # Get the next 2-d data array - this_layer = func(m.data) - - # Calculate the y and x shifts in pixels - yshift, xshift = _calculate_shift(this_layer, tplate) - - # Keep shifts in pixels - yshift_keep[i] = yshift - xshift_keep[i] = xshift - - # Calculate shifts relative to the template layer - yshift_keep = yshift_keep - yshift_keep[layer_index] - xshift_keep = xshift_keep - xshift_keep[layer_index] - - for i, m in enumerate(mc.maps): - # Calculate the shifts required in physical units, which are - # presumed to be arcseconds. - xshift_arcseconds[i] = xshift_keep[i] * m.scale[0] - yshift_arcseconds[i] = yshift_keep[i] * m.scale[1] - - return {"x": xshift_arcseconds, "y": yshift_arcseconds} - - -def mapsequence_coalign_by_match_template( - mc, - *, - template=None, - layer_index=0, - func=_default_fmap_function, - clip=True, - shift=None, - **kwargs, -): - """ - Co-register the layers in a `~sunpy.map.MapSequence` according to a - template taken from that `~sunpy.map.MapSequence`. - - When using this functionality, it is a good - idea to check that the shifts that were applied were reasonable and - expected. One way of checking this is to animate the original - `~sunpy.map.MapSequence`, animate the coaligned `~sunpy.map.MapSequence`, - and compare the differences you see to the calculated shifts. - - Currently this module provides image co-alignment by template matching. - and is partially inspired by the SSWIDL routine - `tr_get_disp.pro `__. - In this implementation, the template matching is handled via - `skimage.feature.match_template`. - - Parameters - ---------- - mc : `sunpy.map.MapSequence` - A `~sunpy.map.MapSequence` of shape ``(ny, nx, nt)``, where ``nt`` is the number of - layers in the `~sunpy.map.MapSequence`. - template : { `None` , `sunpy.map.Map` , `numpy.ndarray` }, optional - The template used in the matching. If an `numpy.ndarray` is passed, - the `numpy.ndarray` has to have two dimensions. - layer_index : `int`, optional - The template is assumed to refer to the map in the `~sunpy.map.MapSequence` - indexed by the value of ``layer_index``. Displacements of all maps in the - `~sunpy.map.MapSequence` are assumed to be relative to this layer. The - displacements of the template relative to this layer are therefore - ``(0, 0)``. - func : ``function``, optional - A function which is applied to the data values before the coalignment - method is applied. This can be useful in coalignment, because it is - sometimes better to co-align on a function of the data rather than the - data itself. The calculated shifts are applied to the original data. - Examples of useful functions to consider for EUV images are the - logarithm or the square root. The function is of the form - ``func = F(data)``. The default function ensures that the data are - floats. - clip : `bool`, optional - If True, then clip off x, y edges of the maps in the sequence that are - potentially affected by edges effects. - shift : `dict`, optional - A dictionary with two keys, 'x' and 'y'. Key 'x' is an astropy - quantities array of corresponding to the amount of shift in the - x-direction (in arcseconds, assuming the helio-projective - Cartesian coordinate system) that is applied to the input - `~sunpy.map.MapSequence`. Key 'y' is an `~astropy.units.Quantity` array - corresponding to the amount of shift in the y-direction (in arcseconds, - assuming the helio-projective Cartesian coordinate system) that is - applied to the input `~sunpy.map.MapSequence`. The number of elements in - each array must be the same as the number of maps in the - `~sunpy.map.MapSequence`. If a shift is passed in to the function, that - shift is applied to the input `~sunpy.map.MapSequence` and the template - matching algorithm is not used. - - Notes - ----- - The remaining keyword arguments are sent to `~sunkit_image.coalignment.apply_shifts`. - - Returns - ------- - `sunpy.map.MapSequence` - A `~sunpy.map.MapSequence` that has co-aligned by matching the template. - - Examples - -------- - >>> from sunkit_image.coalignment import mapsequence_coalign_by_match_template as mc_coalign - >>> coaligned_mc = mc_coalign(mc) # doctest: +SKIP - >>> coaligned_mc = mc_coalign(mc, layer_index=-1) # doctest: +SKIP - >>> coaligned_mc = mc_coalign(mc, clip=False) # doctest: +SKIP - >>> coaligned_mc = mc_coalign(mc, template=sunpy_map) # doctest: +SKIP - >>> coaligned_mc = mc_coalign(mc, template=two_dimensional_ndarray) # doctest: +SKIP - >>> coaligned_mc = mc_coalign(mc, func=np.log) # doctest: +SKIP - - References - ---------- - * http://scribblethink.org/Work/nvisionInterface/nip.html - * J.P. Lewis, Fast Template Matching, Vision Interface 95, Canadian Image - Processing and Pattern Recognition Society, Quebec City, Canada, May 15-19, - 1995, p. 120-123 http://www.scribblethink.org/Work/nvisionInterface/vi95_lewis.pdf. - """ - # Number of maps - nt = len(mc.maps) - - # Storage for the pixel shifts and the shifts in arcseconds - xshift_keep = np.zeros(nt) * u.pix - yshift_keep = np.zeros_like(xshift_keep) - - if shift is None: - shifts = calculate_match_template_shift(mc, template=template, layer_index=layer_index, func=func) - xshift_arcseconds = shifts["x"] - yshift_arcseconds = shifts["y"] - else: - xshift_arcseconds = shift["x"] - yshift_arcseconds = shift["y"] - - # Calculate the pixel shifts - for i, m in enumerate(mc): - xshift_keep[i] = xshift_arcseconds[i] / m.scale[0] - yshift_keep[i] = yshift_arcseconds[i] / m.scale[1] - - # Apply the shifts and return the coaligned mapsequence - return apply_shifts(mc, -yshift_keep, -xshift_keep, clip=clip, **kwargs) diff --git a/sunkit_image/coalignment/__init__.py b/sunkit_image/coalignment/__init__.py index 4c82fe17..6ba92df4 100644 --- a/sunkit_image/coalignment/__init__.py +++ b/sunkit_image/coalignment/__init__.py @@ -1,4 +1,3 @@ from sunkit_image.coalignment.interface import coalignment -from sunkit_image.coalignment.match_template import match_template_coalign __all__ = ["coalignment"] diff --git a/sunkit_image/utils/decorators.py b/sunkit_image/utils/decorators.py index 9768dba8..aad1e7e7 100644 --- a/sunkit_image/utils/decorators.py +++ b/sunkit_image/utils/decorators.py @@ -5,7 +5,7 @@ import numpy as np from sunpy.map import GenericMap, Map -__all__ = ["accept_array_or_map","register_coalignment_method", "registered_methods"] +__all__ = ["accept_array_or_map", "register_coalignment_method", "registered_methods"] # Global Dictionary to store the registered methods and their names registered_methods = {} From 7dba720a08268dbbb2e1de218a9a1e2b2d843aba Mon Sep 17 00:00:00 2001 From: Deus1704 Date: Mon, 15 Jul 2024 15:28:16 +0530 Subject: [PATCH 19/68] fix the issue of method not being registered --- sunkit_image/coalignment/__init__.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/sunkit_image/coalignment/__init__.py b/sunkit_image/coalignment/__init__.py index 6ba92df4..d440a6f4 100644 --- a/sunkit_image/coalignment/__init__.py +++ b/sunkit_image/coalignment/__init__.py @@ -1,3 +1,6 @@ from sunkit_image.coalignment.interface import coalignment +# To extend the package with new coalignment methods, please follow the import style shown below. +from sunkit_image.coalignment.match_template import match_template_coalign # noqa: F401 + __all__ = ["coalignment"] From 93a477b1cb46569a3926e30cc97e0072db28b1c6 Mon Sep 17 00:00:00 2001 From: Deus1704 Date: Mon, 15 Jul 2024 22:52:32 +0530 Subject: [PATCH 20/68] fix the pixel pair issue --- sunkit_image/coalignment/interface.py | 8 ++------ 1 file changed, 2 insertions(+), 6 deletions(-) diff --git a/sunkit_image/coalignment/interface.py b/sunkit_image/coalignment/interface.py index 712ed076..25eca2cf 100644 --- a/sunkit_image/coalignment/interface.py +++ b/sunkit_image/coalignment/interface.py @@ -29,14 +29,10 @@ def update_fits_wcs_metadata(target_map, affine_params): """ ref_pix = target_map.reference_pixel pc_matrix = target_map.rotation_matrix - # Extacting the affine parameters translation = affine_params.translation scale = affine_params.scale rotation = affine_params.rotation - - # Updating the reference pixel - new_ref = ref_pix + translation # Updating the PC matrix cos_theta = np.cos(rotation) sin_theta = np.sin(rotation) @@ -45,8 +41,8 @@ def update_fits_wcs_metadata(target_map, affine_params): # Create a new map with the updated metadata new_meta = target_map.meta.copy() - new_meta["CRPIX1"] = new_ref[0].value - new_meta["CRPIX2"] = new_ref[1].value + new_meta["CRPIX1"] = ref_pix.x.value + translation[0].value + 1 + new_meta["CRPIX2"] = ref_pix.y.value + translation[1].value + 1 new_meta["PC1_1"] = new_pc_matrix[0, 0] new_meta["PC1_2"] = new_pc_matrix[0, 1] new_meta["PC2_1"] = new_pc_matrix[1, 0] From 177173d1335f27ae09e24a9fa6d5b9803aebe12d Mon Sep 17 00:00:00 2001 From: Jayraj Dulange <117574289+Deus1704@users.noreply.github.com> Date: Wed, 17 Jul 2024 18:27:51 +0530 Subject: [PATCH 21/68] Apply suggestions from code review & testing bot Co-authored-by: Nabil Freij --- docs/how_to_guide/adding_a_coalignment_method.rst | 8 +++++--- docs/how_to_guide/using_new_coalignment_interface.rst | 6 ------ sunkit_image/coalignment/__init__.py | 3 +-- 3 files changed, 6 insertions(+), 11 deletions(-) diff --git a/docs/how_to_guide/adding_a_coalignment_method.rst b/docs/how_to_guide/adding_a_coalignment_method.rst index f689f8b4..6a94c634 100644 --- a/docs/how_to_guide/adding_a_coalignment_method.rst +++ b/docs/how_to_guide/adding_a_coalignment_method.rst @@ -15,13 +15,15 @@ You can add a custom coalignment method in the sunkit-image package using the de # Your coalignment code goes here # This should encompass calculating the shifts, # handling NaN values appropriately. - # Return the shifts in a affine style, such as the scale, rotation and translation. + # Return the shifts in an affine style, such as the scale, rotation and translation. return affine_params(scale, rotation, translation) Decorator Parameters ==================== -- **"my_coalign"**: The name of your custom coalignment method. +Currently the decorator takes one parameter: + +- ``name``: The name of your custom coalignment method, which in the above example is "my_coalign" Function Requirements ===================== @@ -37,7 +39,7 @@ Your coalignment function should: 3. **Determine Affine Parameters**: Decide the parameters of the affine parameters like the scale, rotation and translation(generally shifts in x and y direction). -4. **Return**: A named tuple that contains the affine transformation parameters. +4. **Return**: Use the ``affine_params`` named tuple from `sunkit_image` or provide your own that exposes the three parameters as attributes. Example Usage ============= diff --git a/docs/how_to_guide/using_new_coalignment_interface.rst b/docs/how_to_guide/using_new_coalignment_interface.rst index 0a784dd6..4d1d9d51 100644 --- a/docs/how_to_guide/using_new_coalignment_interface.rst +++ b/docs/how_to_guide/using_new_coalignment_interface.rst @@ -7,8 +7,6 @@ Using the Coalignment Interface This guide explains how to use the coalignment interface in the sunkit-image package to align solar images. The :func:`~sunkit_image.coalignment.coalignment` function facilitates image coalignment using various registered methods. -Function Overview -================= The :func:`~sunkit_image.coalignment.coalignment` function performs image coalignment using a specified method that is registered using the decorator :func:`~sunkit_image.utils.register_coalignment_method`. For registering a new method, please check :ref:`this ` guide. @@ -62,7 +60,3 @@ Handling NaNs and Infs The :func:`~sunkit_image.coalignment.coalignment` function includes a warning mechanism to alert users if there are any NaNs, Infs, or other problematic values in the input or template arrays. Proper handling of these values is expected to be included in the registered methods. -Further Reading -=============== - -For more details on how to register new coalignment methods, refer to :ref:`this `. diff --git a/sunkit_image/coalignment/__init__.py b/sunkit_image/coalignment/__init__.py index d440a6f4..3f798796 100644 --- a/sunkit_image/coalignment/__init__.py +++ b/sunkit_image/coalignment/__init__.py @@ -1,6 +1,5 @@ from sunkit_image.coalignment.interface import coalignment -# To extend the package with new coalignment methods, please follow the import style shown below. -from sunkit_image.coalignment.match_template import match_template_coalign # noqa: F401 +from sunkit_image.coalignment.match_template import match_template_coalign as _ __all__ = ["coalignment"] From b7ac50caf116430338d325debceb18d43cfe1b6f Mon Sep 17 00:00:00 2001 From: Deus1704 Date: Fri, 19 Jul 2024 22:59:03 +0530 Subject: [PATCH 22/68] fix the order of the reference and target maps --- sunkit_image/coalignment/interface.py | 38 +++++++++++++++++----- sunkit_image/coalignment/match_template.py | 20 +++++------- 2 files changed, 38 insertions(+), 20 deletions(-) diff --git a/sunkit_image/coalignment/interface.py b/sunkit_image/coalignment/interface.py index 25eca2cf..9cbec292 100644 --- a/sunkit_image/coalignment/interface.py +++ b/sunkit_image/coalignment/interface.py @@ -6,7 +6,30 @@ from sunkit_image.utils.decorators import registered_methods -__all__ = ["coalignment"] +__all__ = ["coalignment", "affine_params"] + + +class affine_params(NamedTuple): + """ + A named tuple to store the affine transformation parameters used for image alignment. + + Attributes + ---------- + scale : tuple[tuple[float, float], tuple[float, float]] + The scale matrix representing the scaling transformation. + This 2x2 matrix defines how the image is scaled along the x and y axes. + + rotation_matrix : tuple[tuple[float, float], tuple[float, float]] + The rotation matrix representing the rotation transformation. + This 2x2 matrix defines the rotation of the image in the plane. + + translation : tuple[float, float] + The translation vector representing the translation transformation. + This 2-element tuple defines the shift of the image along the x and y axes in pixels. + """ + scale: tuple[tuple[float, float], tuple[float, float]] + rotation_matrix: tuple[tuple[float, float], tuple[float, float]] + translation: tuple[float, float] def update_fits_wcs_metadata(target_map, affine_params): @@ -32,11 +55,8 @@ def update_fits_wcs_metadata(target_map, affine_params): # Extacting the affine parameters translation = affine_params.translation scale = affine_params.scale - rotation = affine_params.rotation + rotation_matrix = affine_params.rotation_matrix # Updating the PC matrix - cos_theta = np.cos(rotation) - sin_theta = np.sin(rotation) - rotation_matrix = np.array([[cos_theta, -sin_theta], [sin_theta, cos_theta]]) new_pc_matrix = pc_matrix @ rotation_matrix @ scale # Create a new map with the updated metadata @@ -81,16 +101,16 @@ def coalignment(reference_map, target_map, method): Parameters ---------- - reference_map : `sunpy.map.Map` + reference_map : sunpy.map.Map The reference map to which the target map is to be coaligned. - target_map : `sunpy.map.Map` + target_map : sunpy.map.Map The target map to be coaligned to the reference map. method : str The name of the registered coalignment method to use. Returns ------- - `sunpy.map.Map` + sunpy.map.Map The coaligned target map with the updated metadata. Raises @@ -109,4 +129,4 @@ def coalignment(reference_map, target_map, method): warn_user_of_nan(reference_array, "reference") affine_params = registered_methods[method](target_array, reference_array) - return update_fits_wcs_metadata(target_map, affine_params) + return update_fits_wcs_metadata(target_map, affine_params) \ No newline at end of file diff --git a/sunkit_image/coalignment/match_template.py b/sunkit_image/coalignment/match_template.py index 3411aa57..cef1fb37 100644 --- a/sunkit_image/coalignment/match_template.py +++ b/sunkit_image/coalignment/match_template.py @@ -5,16 +5,11 @@ from skimage.feature import match_template from sunkit_image.utils.decorators import register_coalignment_method +from sunkit_image.coalignment.interface import affine_params __all__ = ["match_template_coalign"] -class affine_params(NamedTuple): - scale: tuple[tuple[float, float], tuple[float, float]] - rotation: float - translation: tuple[float, float] - - def _parabolic_turning_point(y): """ Calculate the turning point of a parabola given three points. @@ -98,15 +93,15 @@ def _find_best_match_location(corr): @register_coalignment_method("match_template") -def match_template_coalign(input_array, template_array): +def match_template_coalign(reference_array, target_array ): """ Perform coalignment by matching the template array to the input array. Parameters ---------- - input_array : `numpy.ndarray` + input_array : numpy.ndarray The input 2D array to be coaligned. - template_array : `numpy.ndarray` + template_array : numpy.ndarray The template 2D array to align to. Returns @@ -120,11 +115,14 @@ def match_template_coalign(input_array, template_array): - translation: tuple A tuple containing the x and y translation values in pixels. """ - corr = match_template(np.float64(input_array), np.float64(template_array)) + corr = match_template(np.float64(target_array), np.float64(reference_array)) # Find the best match location y_shift, x_shift = _find_best_match_location(corr) # Particularly for this, there is no change in the rotation or scaling, hence the hardcoded values of scale to 1.0 & rotation to identity matrix scale = [(1.0, 0), (0, 1.0)] rotation = 0.0 # Considering the angle is in radians by default - return affine_params(scale=scale, rotation=rotation, translation=(x_shift * u.pixel, y_shift * u.pixel)) + cos_theta = np.cos(rotation) + sin_theta = np.sin(rotation) + rotation_matrix = np.array([[cos_theta, -sin_theta], [sin_theta, cos_theta]]) + return affine_params(scale=scale, rotation_matrix=rotation_matrix, translation=(x_shift * u.pixel, y_shift * u.pixel)) \ No newline at end of file From 573d1e3bed4f33a887e77e5aee72c0f393f50605 Mon Sep 17 00:00:00 2001 From: Deus1704 Date: Fri, 19 Jul 2024 23:04:31 +0530 Subject: [PATCH 23/68] calm down pre-commit --- sunkit_image/coalignment/interface.py | 12 +++++++----- sunkit_image/coalignment/match_template.py | 2 -- 2 files changed, 7 insertions(+), 7 deletions(-) diff --git a/sunkit_image/coalignment/interface.py b/sunkit_image/coalignment/interface.py index 9cbec292..9618a2b9 100644 --- a/sunkit_image/coalignment/interface.py +++ b/sunkit_image/coalignment/interface.py @@ -1,6 +1,7 @@ import warnings - +from typing import NamedTuple import numpy as np + import sunpy.map from sunpy.util.exceptions import SunpyUserWarning @@ -11,18 +12,19 @@ class affine_params(NamedTuple): """ - A named tuple to store the affine transformation parameters used for image alignment. + A named tuple to store the affine transformation parameters used for image + alignment. Attributes ---------- scale : tuple[tuple[float, float], tuple[float, float]] The scale matrix representing the scaling transformation. This 2x2 matrix defines how the image is scaled along the x and y axes. - + rotation_matrix : tuple[tuple[float, float], tuple[float, float]] The rotation matrix representing the rotation transformation. This 2x2 matrix defines the rotation of the image in the plane. - + translation : tuple[float, float] The translation vector representing the translation transformation. This 2-element tuple defines the shift of the image along the x and y axes in pixels. @@ -129,4 +131,4 @@ def coalignment(reference_map, target_map, method): warn_user_of_nan(reference_array, "reference") affine_params = registered_methods[method](target_array, reference_array) - return update_fits_wcs_metadata(target_map, affine_params) \ No newline at end of file + return update_fits_wcs_metadata(target_map, affine_params) diff --git a/sunkit_image/coalignment/match_template.py b/sunkit_image/coalignment/match_template.py index cef1fb37..a5408918 100644 --- a/sunkit_image/coalignment/match_template.py +++ b/sunkit_image/coalignment/match_template.py @@ -1,5 +1,3 @@ -from typing import NamedTuple - import astropy.units as u import numpy as np from skimage.feature import match_template From 81b7fcb1a8d6fc0e4624fa0cabd211efb4ae0fa1 Mon Sep 17 00:00:00 2001 From: Deus1704 Date: Fri, 26 Jul 2024 20:43:53 +0530 Subject: [PATCH 24/68] fixed the method & added examples and tests --- .../adding_a_coalignment_method.rst | 4 +- .../using_new_coalignment_interface.rst | 3 +- examples/aligning_aia_with_eis_maps.py | 67 +++++++++++++++ sunkit_image/coalignment/__init__.py | 3 +- sunkit_image/coalignment/interface.py | 79 ++++++++++++++---- sunkit_image/coalignment/match_template.py | 10 +-- sunkit_image/coalignment/tests/conftest.py | 1 + .../coalignment/tests/test_coalignment.py | 54 ++++++++---- .../coalignment/tests/test_match_template.py | 3 +- sunkit_image/coalignment/util/__init__.py | 0 sunkit_image/coalignment/util/decorators.py | 21 +++++ .../coalignment/util/tests/__init__.py | 0 .../util}/tests/test_decorators.py | 2 +- ...0140108_095727.fe_12_195_119.2c-0.int.fits | Bin 0 -> 996490 bytes sunkit_image/utils/decorators.py | 22 +---- 15 files changed, 205 insertions(+), 64 deletions(-) create mode 100644 examples/aligning_aia_with_eis_maps.py create mode 100644 sunkit_image/coalignment/util/__init__.py create mode 100644 sunkit_image/coalignment/util/decorators.py create mode 100644 sunkit_image/coalignment/util/tests/__init__.py rename sunkit_image/{utils => coalignment/util}/tests/test_decorators.py (74%) create mode 100644 sunkit_image/data/test/eis_20140108_095727.fe_12_195_119.2c-0.int.fits diff --git a/docs/how_to_guide/adding_a_coalignment_method.rst b/docs/how_to_guide/adding_a_coalignment_method.rst index 6a94c634..9da08bf1 100644 --- a/docs/how_to_guide/adding_a_coalignment_method.rst +++ b/docs/how_to_guide/adding_a_coalignment_method.rst @@ -4,7 +4,7 @@ Add a New Coalignment Method **************************** -You can add a custom coalignment method in the sunkit-image package using the decorator :func:`~sunkit_image.utils.register_coalignment_method`: +You can add a custom coalignment method in the sunkit-image package using the decorator :func:`~sunkit_image.coalignment.util.decorators.register_coalignment_method`: .. code-block:: python @@ -39,7 +39,7 @@ Your coalignment function should: 3. **Determine Affine Parameters**: Decide the parameters of the affine parameters like the scale, rotation and translation(generally shifts in x and y direction). -4. **Return**: Use the ``affine_params`` named tuple from `sunkit_image` or provide your own that exposes the three parameters as attributes. +4. **Return**: Use the ``affine_params`` named tuple from `sunkit_image` or provide your own that exposes the three parameters as attributes. Example Usage ============= diff --git a/docs/how_to_guide/using_new_coalignment_interface.rst b/docs/how_to_guide/using_new_coalignment_interface.rst index 4d1d9d51..4b7a6031 100644 --- a/docs/how_to_guide/using_new_coalignment_interface.rst +++ b/docs/how_to_guide/using_new_coalignment_interface.rst @@ -8,7 +8,7 @@ This guide explains how to use the coalignment interface in the sunkit-image pac The :func:`~sunkit_image.coalignment.coalignment` function facilitates image coalignment using various registered methods. -The :func:`~sunkit_image.coalignment.coalignment` function performs image coalignment using a specified method that is registered using the decorator :func:`~sunkit_image.utils.register_coalignment_method`. +The :func:`~sunkit_image.coalignment.coalignment` function performs image coalignment using a specified method that is registered using the decorator :func:`~sunkit_image.coalignment.util.decorators.register_coalignment_method`. For registering a new method, please check :ref:`this ` guide. Refer to the docstring of :func:`~sunkit_image.coalignment.coalignment` for detailed information on the parameters, return values, and exceptions. @@ -59,4 +59,3 @@ Handling NaNs and Infs The :func:`~sunkit_image.coalignment.coalignment` function includes a warning mechanism to alert users if there are any NaNs, Infs, or other problematic values in the input or template arrays. Proper handling of these values is expected to be included in the registered methods. - diff --git a/examples/aligning_aia_with_eis_maps.py b/examples/aligning_aia_with_eis_maps.py new file mode 100644 index 00000000..b44524a8 --- /dev/null +++ b/examples/aligning_aia_with_eis_maps.py @@ -0,0 +1,67 @@ +""" +=================================================== +Coaligning AIA and EIS data with cross-correlations +=================================================== + +This example shows how to coalign AIA and EIS data using the method of cross-correlations which is implemented in the match_template function within the sunkit-image. +Here we have an EIS raster image which has an incorrect pointing. This would be corrected using the AIA image as a reference. + +""" + +import matplotlib.pyplot as plt + +import astropy.units as u +from sunpy.net import Fido ,attrs as a +import sunpy.map +from sunkit_image.coalignment import coalignment +from sunkit_image.data.test import get_test_filepath + +################################################################################### +# Firstly, let's load up the EIS raster and see what it looks like. +# This raster in particular doesn't have the correct pointing information. + +eis_map = sunpy.map.Map(get_test_filepath("eis_20140108_095727.fe_12_195_119.2c-0.int.fits")) +eis_map.plot() + +# Lets find the AIA image that we want to use as a reference. We would be using +# the image near the date_average of this raster. + +date_avg = eis_map.meta["date_avg"] +date_start = eis_map.meta["date_beg"] +date_end = eis_map.meta["date_end"] + +aia_193_full_disc_map = sunpy.map.Map(Fido.fetch(Fido.search(a.Time(start = date_start,near=date_avg, end=date_end), a.Instrument('aia'), a.Wavelength(193*u.angstrom)))) + +#################################################################################### +# Before coaligning the images, we first downsample the AIA image to the same plate +# scale as the EIS image. + +nx= (aia_193_full_disc_map.scale.axis1 * aia_193_full_disc_map.dimensions.x )/eis_map.scale.axis1 +ny= (aia_193_full_disc_map.scale.axis2 * aia_193_full_disc_map.dimensions.y )/eis_map.scale.axis2 + +aia_193_downsampled_map = aia_193_full_disc_map.resample(u.Quantity([nx,ny])) + +#################################################################################### +# Now we can coalign the EIS and AIA images using the cross-correlation method. For +# this we would be using the match_template function within the sunkit_image.coalignment +# module. For more details for the implementation of this function, please refer to the +# documentation of `~sunkit_image.coalignment.match_template`. + +coaligned_eis_map = coalignment(aia_193_downsampled_map, eis_map, "match_template") + +#################################################################################### +# Now for better visualization of the coaligned images, we would be plotting the EIS +# contours of the bright regions over the AIA image before and after coalignment. + +levels = [200, 400, 500, 700, 800] * aia_193_full_disc_map.unit +fig = plt.figure(figsize=(15,7.5)) +ax = fig.add_subplot(121, projection=eis_map) +eis_map.plot(axes=ax, title='Before pointing correction') +bounds = ax.axis() +aia_193_full_disc_map.draw_contours(levels, axes=ax, cmap='sdoaia171', alpha=0.3) +ax.axis(bounds) +ax = fig.add_subplot(122, projection=coaligned_eis_map) +coaligned_eis_map.plot(axes=ax, title='After pointing correction') +bounds = ax.axis() +aia_193_full_disc_map.draw_contours(levels, axes=ax, cmap='sdoaia171', alpha=0.3) +ax.axis(bounds) \ No newline at end of file diff --git a/sunkit_image/coalignment/__init__.py b/sunkit_image/coalignment/__init__.py index 3f798796..2e7f6f88 100644 --- a/sunkit_image/coalignment/__init__.py +++ b/sunkit_image/coalignment/__init__.py @@ -1,5 +1,4 @@ from sunkit_image.coalignment.interface import coalignment - -from sunkit_image.coalignment.match_template import match_template_coalign as _ +from sunkit_image.coalignment.match_template import match_template_coalign # noqa : F401 __all__ = ["coalignment"] diff --git a/sunkit_image/coalignment/interface.py b/sunkit_image/coalignment/interface.py index 9618a2b9..fd5f591d 100644 --- a/sunkit_image/coalignment/interface.py +++ b/sunkit_image/coalignment/interface.py @@ -1,19 +1,22 @@ import warnings from typing import NamedTuple + import numpy as np -import sunpy.map +import astropy.units as u +from astropy.coordinates import SkyCoord + from sunpy.util.exceptions import SunpyUserWarning -from sunkit_image.utils.decorators import registered_methods +from sunkit_image.coalignment.util.decorators import registered_methods __all__ = ["coalignment", "affine_params"] class affine_params(NamedTuple): """ - A named tuple to store the affine transformation parameters used for image - alignment. + A named tuple to store the affine transformation parameters used for + updating the metadata. Attributes ---------- @@ -34,7 +37,7 @@ class affine_params(NamedTuple): translation: tuple[float, float] -def update_fits_wcs_metadata(target_map, affine_params): +def update_fits_wcs_metadata(reference_map, target_map, affine_params): """ Update the metadata of a sunpy Map object based on affine transformation parameters. @@ -52,7 +55,7 @@ def update_fits_wcs_metadata(target_map, affine_params): `sunpy.map.Map` A new sunpy map object with updated metadata reflecting the affine transformation. """ - ref_pix = target_map.reference_pixel + target_map.reference_pixel pc_matrix = target_map.rotation_matrix # Extacting the affine parameters translation = affine_params.translation @@ -61,17 +64,18 @@ def update_fits_wcs_metadata(target_map, affine_params): # Updating the PC matrix new_pc_matrix = pc_matrix @ rotation_matrix @ scale + reference_coord = reference_map.pixel_to_world(translation[0], translation[1]) + Txshift = reference_coord.Tx - target_map.bottom_left_coord.Tx + Tyshift = reference_coord.Ty - target_map.bottom_left_coord.Ty # Create a new map with the updated metadata - new_meta = target_map.meta.copy() - new_meta["CRPIX1"] = ref_pix.x.value + translation[0].value + 1 - new_meta["CRPIX2"] = ref_pix.y.value + translation[1].value + 1 - new_meta["PC1_1"] = new_pc_matrix[0, 0] - new_meta["PC1_2"] = new_pc_matrix[0, 1] - new_meta["PC2_1"] = new_pc_matrix[1, 0] - new_meta["PC2_2"] = new_pc_matrix[1, 1] + fixed_map = target_map.shift_reference_coord(Txshift, Tyshift) - return sunpy.map.Map(target_map.data, new_meta) + fixed_map.meta["PC1_1"] = new_pc_matrix[0, 0] + fixed_map.meta["PC1_2"] = new_pc_matrix[0, 1] + fixed_map.meta["PC2_1"] = new_pc_matrix[1, 0] + fixed_map.meta["PC2_2"] = new_pc_matrix[1, 1] + return fixed_map def warn_user_of_nan(array, name): """ @@ -96,6 +100,46 @@ def warn_user_of_nan(array, name): ) +def warn_user_of_separation(reference_map,target_map): + """ + Issues a warning if the separation between the reference and target maps is + large. + + Parameters + ---------- + reference_map : sunpy.map.Map + The reference map to which the target map is to be coaligned. + target_map : sunpy.map.Map + The target map to be coaligned to the reference map. + """ + # Calculate separation between the reference and target maps + ref_coord = SkyCoord(reference_map.observer_coordinate) + target_coord = SkyCoord(target_map.observer_coordinate) + angular_separation = ref_coord.separation(target_coord) + if angular_separation > (1*u.deg): + warnings.warn( + "The separation between the reference and target maps is large. " + "This could cause errors when calculating shift between two " + "images. Please make sure the maps are close in time and space.", + SunpyUserWarning, + stacklevel=3, + ) + # Calculate time difference and convert to separation angle + ref_time = reference_map.date + target_time = target_map.date + time_diff = abs(ref_time - target_time) + solar_rotation_rate = 13.33*u.deg / u.day ### Verify this value + time_separation_angle = (time_diff.to(u.day) * solar_rotation_rate).to(u.deg) + if time_separation_angle > (1*u.deg): + warnings.warn( + "The separation between the reference and target maps in time is large. " + "This could cause errors when calculating shift between two " + "images. Please make sure the maps are close in time and space.", + SunpyUserWarning, + stacklevel=3, + ) + + def coalignment(reference_map, target_map, method): """ Performs image coalignment using a specified method. It updates the @@ -130,5 +174,8 @@ def coalignment(reference_map, target_map, method): warn_user_of_nan(target_array, "target") warn_user_of_nan(reference_array, "reference") - affine_params = registered_methods[method](target_array, reference_array) - return update_fits_wcs_metadata(target_map, affine_params) + # Warn user if the separation between the reference and target maps is large + warn_user_of_separation(reference_map, target_map) + + affine_params = registered_methods[method](reference_array, target_array) + return update_fits_wcs_metadata(reference_map, target_map, affine_params) diff --git a/sunkit_image/coalignment/match_template.py b/sunkit_image/coalignment/match_template.py index a5408918..e2db4e6e 100644 --- a/sunkit_image/coalignment/match_template.py +++ b/sunkit_image/coalignment/match_template.py @@ -1,9 +1,10 @@ -import astropy.units as u import numpy as np from skimage.feature import match_template -from sunkit_image.utils.decorators import register_coalignment_method +import astropy.units as u + from sunkit_image.coalignment.interface import affine_params +from sunkit_image.coalignment.util.decorators import register_coalignment_method __all__ = ["match_template_coalign"] @@ -113,8 +114,7 @@ def match_template_coalign(reference_array, target_array ): - translation: tuple A tuple containing the x and y translation values in pixels. """ - corr = match_template(np.float64(target_array), np.float64(reference_array)) - + corr = match_template(np.float64(reference_array), np.float64(target_array)) # Find the best match location y_shift, x_shift = _find_best_match_location(corr) # Particularly for this, there is no change in the rotation or scaling, hence the hardcoded values of scale to 1.0 & rotation to identity matrix @@ -123,4 +123,4 @@ def match_template_coalign(reference_array, target_array ): cos_theta = np.cos(rotation) sin_theta = np.sin(rotation) rotation_matrix = np.array([[cos_theta, -sin_theta], [sin_theta, cos_theta]]) - return affine_params(scale=scale, rotation_matrix=rotation_matrix, translation=(x_shift * u.pixel, y_shift * u.pixel)) \ No newline at end of file + return affine_params(scale=scale, rotation_matrix=rotation_matrix, translation=(x_shift * u.pixel, y_shift * u.pixel)) diff --git a/sunkit_image/coalignment/tests/conftest.py b/sunkit_image/coalignment/tests/conftest.py index 1bf39b6a..33bd871c 100644 --- a/sunkit_image/coalignment/tests/conftest.py +++ b/sunkit_image/coalignment/tests/conftest.py @@ -2,6 +2,7 @@ import numpy as np import pytest + import sunpy.data.test diff --git a/sunkit_image/coalignment/tests/test_coalignment.py b/sunkit_image/coalignment/tests/test_coalignment.py index 4dfbe259..4b655f41 100644 --- a/sunkit_image/coalignment/tests/test_coalignment.py +++ b/sunkit_image/coalignment/tests/test_coalignment.py @@ -1,26 +1,52 @@ -import astropy.units as u import numpy as np import pytest from scipy.ndimage import shift as sp_shift + +import astropy.units as u + from sunpy.map import Map +from sunpy.net import Fido +from sunpy.net import attrs as a +from sunkit_image.coalignment import coalignment +from sunkit_image.data.test import get_test_filepath -@pytest.fixture() -def aia171_test_mc_pixel_displacements(): - return np.asarray([1.6, 10.1]) +@pytest.fixture() +def is_test_map(): + return sunpy.map.Map(get_test_filepath("eis_20140108_095727.fe_12_195_119.2c-0.int.fits")) @pytest.fixture() -def aia171_mc_arcsec_displacements(aia171_test_mc_pixel_displacements, aia171_test_map): - return { - "x": np.asarray([0.0, aia171_test_mc_pixel_displacements[1] * aia171_test_map.scale[0].value]) * u.arcsec, - "y": np.asarray([0.0, aia171_test_mc_pixel_displacements[0] * aia171_test_map.scale[1].value]) * u.arcsec, - } +def aia193_test_map(): + date_start = "2014-01-08T09:57:27" + date_end = "2014-01-08T10:00:00" + aia_map = Fido.fetch(Fido.search(a.Time(start=date_start, end=date_end), a.Instrument('aia'), a.Wavelength(193 * u.angstrom))) + return sunpy.map.Map(aia_map) +@pytest.fixture() +def aia193_test_downsampled_map(is_test_map, aia193_test_map): + nx = (aia193_test_map.scale.axis1 * aia193_test_map.dimensions.x) / is_test_map.scale.axis1 + ny = (aia193_test_map.scale.axis2 * aia193_test_map.dimensions.y) / is_test_map.scale.axis2 + return aia193_test_map.resample(u.Quantity([nx, ny])) @pytest.fixture() -def aia171_test_shifted_map(aia171_test_map, aia171_test_map_layer, aia171_test_mc_pixel_displacements): - # Create a map that has been shifted a known amount. - d1 = sp_shift(aia171_test_map_layer, aia171_test_mc_pixel_displacements) - # return the map - return Map(d1, aia171_test_map.meta) +def aia193_test_shifted_map(aia193_test_map): + pixel_displacements = np.array([5.0, 5.0]) + shifted_data = sp_shift(aia193_test_map.data, pixel_displacements) + return Map(shifted_data, aia193_test_map.meta) + +def test_coalignment(is_test_map, aia193_test_downsampled_map): + coaligned_is_map = coalignment(aia193_test_downsampled_map, is_test_map, "match_template") + + # Assertions to ensure the maps are aligned + assert coaligned_is_map.data.shape == is_test_map.data.shape + assert coaligned_is_map.wcs.wcs.crval[0] == aia193_test_downsampled_map.wcs.wcs.crval[0] + assert coaligned_is_map.wcs.wcs.crval[1] == aia193_test_downsampled_map.wcs.wcs.crval[1] + +def test_shifted_map_alignment(is_test_map, aia193_test_shifted_map): + coaligned_is_map = coalignment(aia193_test_shifted_map, is_test_map, "match_template") + + # Ensure the alignment is corrected by comparing with the unshifted map + assert coaligned_is_map.data.shape == is_test_map.data.shape + assert coaligned_is_map.wcs.wcs.crval[0] == aia193_test_shifted_map.wcs.wcs.crval[0] + assert coaligned_is_map.wcs.wcs.crval[1] == aia193_test_shifted_map.wcs.wcs.crval[1] diff --git a/sunkit_image/coalignment/tests/test_match_template.py b/sunkit_image/coalignment/tests/test_match_template.py index 551b5bf5..287be166 100644 --- a/sunkit_image/coalignment/tests/test_match_template.py +++ b/sunkit_image/coalignment/tests/test_match_template.py @@ -1,9 +1,10 @@ -import astropy.units as u import numpy as np import pytest from numpy.testing import assert_allclose from skimage.feature import match_template +import astropy.units as u + from sunkit_image.coalignment.match_template import ( _find_best_match_location, _get_correlation_shifts, diff --git a/sunkit_image/coalignment/util/__init__.py b/sunkit_image/coalignment/util/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/sunkit_image/coalignment/util/decorators.py b/sunkit_image/coalignment/util/decorators.py new file mode 100644 index 00000000..8d4cff0f --- /dev/null +++ b/sunkit_image/coalignment/util/decorators.py @@ -0,0 +1,21 @@ +__all__ = ["register_coalignment_method", "registered_methods"] + +# Global Dictionary to store the registered methods and their names +registered_methods = {} + + +def register_coalignment_method(name): + """ + Registers a coalignment method to be used by the coalignment interface. + + Parameters + ---------- + name : str + The name of the coalignment method. + """ + + def decorator(func): + registered_methods[name] = func + return func + + return decorator diff --git a/sunkit_image/coalignment/util/tests/__init__.py b/sunkit_image/coalignment/util/tests/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/sunkit_image/utils/tests/test_decorators.py b/sunkit_image/coalignment/util/tests/test_decorators.py similarity index 74% rename from sunkit_image/utils/tests/test_decorators.py rename to sunkit_image/coalignment/util/tests/test_decorators.py index 8ae3e60c..12b231a3 100644 --- a/sunkit_image/utils/tests/test_decorators.py +++ b/sunkit_image/coalignment/util/tests/test_decorators.py @@ -1,4 +1,4 @@ -from sunkit_image.utils.decorators import register_coalignment_method, registered_methods +from sunkit_image.coalignment.util.decorators import register_coalignment_method, registered_methods def test_register_coalignment_method(): diff --git a/sunkit_image/data/test/eis_20140108_095727.fe_12_195_119.2c-0.int.fits b/sunkit_image/data/test/eis_20140108_095727.fe_12_195_119.2c-0.int.fits new file mode 100644 index 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zuP~7QmdqT$!RWZ%Er+=pWc;BrW~(U1)a`#RFw44Zml9<;$;9Zt{fRisYZ1nr?dNq^ zk`jQbjCxt5W&_22HCSi*0v)~mc`54(Mxb#M%30--fD-F(vbGxo6`J$1?c)UUzlpJ> z`vF}Wm&&%6al1@9n-&+4=U&LByAmi{D#d<>5vV#yhTUIp`ywy)|J*>gFAQV9V+M3u zZ7;i?;Py51*l+kU`nR{fVFzN4?X7P(&xrx`hA?y8G6UMIZ^d Date: Fri, 2 Aug 2024 12:08:35 +0530 Subject: [PATCH 26/68] Apply suggestions from code review Co-authored-by: Nabil Freij --- .../adding_a_coalignment_method.rst | 19 +++--- docs/how_to_guide/index.rst | 2 +- .../using_new_coalignment_interface.rst | 44 ++----------- examples/aligning_aia_with_eis_maps.py | 65 ++++++++++--------- sunkit_image/coalignment/__init__.py | 2 +- sunkit_image/coalignment/interface.py | 31 +-------- 6 files changed, 52 insertions(+), 111 deletions(-) diff --git a/docs/how_to_guide/adding_a_coalignment_method.rst b/docs/how_to_guide/adding_a_coalignment_method.rst index 9da08bf1..1479e5db 100644 --- a/docs/how_to_guide/adding_a_coalignment_method.rst +++ b/docs/how_to_guide/adding_a_coalignment_method.rst @@ -4,7 +4,7 @@ Add a New Coalignment Method **************************** -You can add a custom coalignment method in the sunkit-image package using the decorator :func:`~sunkit_image.coalignment.util.decorators.register_coalignment_method`: +If you want to register a new coalignment method that can be used by :func:`~sunkit_image.coalignment.coalignment`, you can use :func:`~sunkit_image.coalignment.util.decorators.register_coalignment_method`: .. code-block:: python @@ -23,7 +23,7 @@ Decorator Parameters Currently the decorator takes one parameter: -- ``name``: The name of your custom coalignment method, which in the above example is "my_coalign" +- ``name``: The name of your custom coalignment method, which in the above example is "my_coalign". Function Requirements ===================== @@ -33,15 +33,16 @@ Your coalignment function should: 1. **Take Input Parameters**: - ``input_array``: The 2D array to be coaligned. - - ``template_array``: The 2D template array to align to. + - ``target_array``: The 2D array to align to. -2. **Compute Shifts**: Calculate the shifts in the x and y directions needed to align ``input_array`` with ``template_array``. +2. **Compute Shifts**: Calculate the shifts in the x and y directions needed to align ``input_array`` with ``target_array``. -3. **Determine Affine Parameters**: Decide the parameters of the affine parameters like the scale, rotation and translation(generally shifts in x and y direction). +3. **Determine Affine Parameters**: Decide the values of the affine parameters - translation, scale and rotation. -4. **Return**: Use the ``affine_params`` named tuple from `sunkit_image` or provide your own that exposes the three parameters as attributes. +4. **Return**: Use the ``affine_params`` named tuple included or provide your own that exposes the three parameters as attributes. -Example Usage -============= +Handling NaNs and Infs +====================== -Once you have added your custom coalignment method, you can use it as discussed in :ref:`sunkit-image-how-to-guide-using-the-coalignment-interface`. +Proper handling of these values is expected to be included in the registered methods. +The :func:`~sunkit_image.coalignment.coalignment` function does not change any problematic values. diff --git a/docs/how_to_guide/index.rst b/docs/how_to_guide/index.rst index fb404c46..ab096a6f 100644 --- a/docs/how_to_guide/index.rst +++ b/docs/how_to_guide/index.rst @@ -7,5 +7,5 @@ How To Guide .. toctree:: :maxdepth: 1 + using_the_coalignment_interface adding_a_coalignment_method - using_new_coalignment_interface diff --git a/docs/how_to_guide/using_new_coalignment_interface.rst b/docs/how_to_guide/using_new_coalignment_interface.rst index 4b7a6031..bbd9b3e2 100644 --- a/docs/how_to_guide/using_new_coalignment_interface.rst +++ b/docs/how_to_guide/using_new_coalignment_interface.rst @@ -4,36 +4,11 @@ Using the Coalignment Interface ******************************* -This guide explains how to use the coalignment interface in the sunkit-image package to align solar images. -The :func:`~sunkit_image.coalignment.coalignment` function facilitates image coalignment using various registered methods. - - -The :func:`~sunkit_image.coalignment.coalignment` function performs image coalignment using a specified method that is registered using the decorator :func:`~sunkit_image.coalignment.util.decorators.register_coalignment_method`. -For registering a new method, please check :ref:`this ` guide. - +This guide explains how to use the coalignment interface to improve the alignment of solar images. +The :func:`~sunkit_image.coalignment.coalignment` function facilitates image coalignment using a range of registered methods. Refer to the docstring of :func:`~sunkit_image.coalignment.coalignment` for detailed information on the parameters, return values, and exceptions. -Function Parameters -=================== - -- **reference_map** (`sunpy.map.Map`): The reference map to which the target map is to be coaligned. -- **target_map** (`sunpy.map.Map`): The target map to be coaligned to the reference map. -- **method** (str): The name of the registered coalignment method to use. - -Returns -======= - -- **sunpy.map.Map**: The coaligned target map. - -Raises -====== - -- **ValueError**: If the specified method is not registered. - -Example Usage -============= - -Below is an example of how to use the :func:`~sunkit_image.coalignment.coalignment` function: +Here is an example of how to use the :func:`~sunkit_image.coalignment.coalignment` function: .. code-block:: python @@ -46,16 +21,5 @@ Below is an example of how to use the :func:`~sunkit_image.coalignment.coalignme coaligned_map = coalignment(reference_map, target_map, method="match_template") -The :func:`~sunkit_image.coalignment.coalignment` function aligns the ``target_map`` to the ``reference_map`` using the specified method (e.g., ``"match_template"``). - -Registered Methods -================== - -Ensure that the coalignment method you intend to use is registered. -You can add custom methods as described in :ref:`this ` guide. - -Handling NaNs and Infs -====================== +There is another example (link to the EIS and AIA gallery example). -The :func:`~sunkit_image.coalignment.coalignment` function includes a warning mechanism to alert users if there are any NaNs, Infs, or other problematic values in the input or template arrays. -Proper handling of these values is expected to be included in the registered methods. diff --git a/examples/aligning_aia_with_eis_maps.py b/examples/aligning_aia_with_eis_maps.py index b44524a8..96f1d3c2 100644 --- a/examples/aligning_aia_with_eis_maps.py +++ b/examples/aligning_aia_with_eis_maps.py @@ -1,11 +1,9 @@ """ -=================================================== -Coaligning AIA and EIS data with cross-correlations -=================================================== - -This example shows how to coalign AIA and EIS data using the method of cross-correlations which is implemented in the match_template function within the sunkit-image. -Here we have an EIS raster image which has an incorrect pointing. This would be corrected using the AIA image as a reference. +===================== +Coaligning EIS to AIA +===================== +This example shows how to EISA data to AIA using cross-correlation which is implemented as the "match_template" method. """ import matplotlib.pyplot as plt @@ -17,51 +15,54 @@ from sunkit_image.data.test import get_test_filepath ################################################################################### -# Firstly, let's load up the EIS raster and see what it looks like. -# This raster in particular doesn't have the correct pointing information. +# Firstly, us acquire the EIS and AIA data we need for this example. eis_map = sunpy.map.Map(get_test_filepath("eis_20140108_095727.fe_12_195_119.2c-0.int.fits")) eis_map.plot() -# Lets find the AIA image that we want to use as a reference. We would be using -# the image near the date_average of this raster. - +# Lets find the AIA image that we want to use as a reference. +# We would be using the image near the date_average of this raster. date_avg = eis_map.meta["date_avg"] date_start = eis_map.meta["date_beg"] date_end = eis_map.meta["date_end"] -aia_193_full_disc_map = sunpy.map.Map(Fido.fetch(Fido.search(a.Time(start = date_start,near=date_avg, end=date_end), a.Instrument('aia'), a.Wavelength(193*u.angstrom)))) +query = Fido.search(a.Time(start=date_start, near=date_avg, end=date_end), a.Instrument('aia'), a.Wavelength(193*u.angstrom)) +aia_file = Fido.fetch(query) +aia_map = sunpy.map.Map(aia_file) #################################################################################### # Before coaligning the images, we first downsample the AIA image to the same plate -# scale as the EIS image. +# scale as the EIS image. This is not done automatically. -nx= (aia_193_full_disc_map.scale.axis1 * aia_193_full_disc_map.dimensions.x )/eis_map.scale.axis1 -ny= (aia_193_full_disc_map.scale.axis2 * aia_193_full_disc_map.dimensions.y )/eis_map.scale.axis2 +nx = (aia_map.scale.axis1 * aia_map.dimensions.x) / eis_map.scale.axis1 +ny = (aia_map.scale.axis2 * aia_map.dimensions.y) / eis_map.scale.axis2 -aia_193_downsampled_map = aia_193_full_disc_map.resample(u.Quantity([nx,ny])) +aia_downsampled = aia_map.resample(u.Quantity([nx, ny])) #################################################################################### -# Now we can coalign the EIS and AIA images using the cross-correlation method. For -# this we would be using the match_template function within the sunkit_image.coalignment -# module. For more details for the implementation of this function, please refer to the +# Now we can coalign EIS to AIAusing a cross-correlation. +# For this we would be using the "match_template" method. +# For details of the implementation refer to the # documentation of `~sunkit_image.coalignment.match_template`. -coaligned_eis_map = coalignment(aia_193_downsampled_map, eis_map, "match_template") +coaligned_eis_map = coalignment(aia_downsampled, eis_map, "match_template") #################################################################################### -# Now for better visualization of the coaligned images, we would be plotting the EIS -# contours of the bright regions over the AIA image before and after coalignment. +# To check now effective this has been, we will plot the EIS data and +# overlap the bright regions from AIA before and after coalignment. -levels = [200, 400, 500, 700, 800] * aia_193_full_disc_map.unit -fig = plt.figure(figsize=(15,7.5)) +levels = [200, 400, 500, 700, 800] * aia_map.unit + +fig = plt.figure(figsize=(15, 7.5)) ax = fig.add_subplot(121, projection=eis_map) -eis_map.plot(axes=ax, title='Before pointing correction') -bounds = ax.axis() -aia_193_full_disc_map.draw_contours(levels, axes=ax, cmap='sdoaia171', alpha=0.3) -ax.axis(bounds) + +eis_map.plot(axes=ax, title='Before') +aia_193_full_disc_map.draw_contours(levels, axes=ax, alpha=0.3) + ax = fig.add_subplot(122, projection=coaligned_eis_map) -coaligned_eis_map.plot(axes=ax, title='After pointing correction') -bounds = ax.axis() -aia_193_full_disc_map.draw_contours(levels, axes=ax, cmap='sdoaia171', alpha=0.3) -ax.axis(bounds) \ No newline at end of file +coaligned_eis_map.plot(axes=ax, title='After') +aia_193_full_disc_map.draw_contours(levels, axes=ax, alpha=0.3) + +fig.tight_layout() + +plt.show() diff --git a/sunkit_image/coalignment/__init__.py b/sunkit_image/coalignment/__init__.py index 2e7f6f88..ec6206b8 100644 --- a/sunkit_image/coalignment/__init__.py +++ b/sunkit_image/coalignment/__init__.py @@ -1,4 +1,4 @@ from sunkit_image.coalignment.interface import coalignment -from sunkit_image.coalignment.match_template import match_template_coalign # noqa : F401 +from sunkit_image.coalignment.match_template import match_template_coalign as _ __all__ = ["coalignment"] diff --git a/sunkit_image/coalignment/interface.py b/sunkit_image/coalignment/interface.py index fd5f591d..8b8668ba 100644 --- a/sunkit_image/coalignment/interface.py +++ b/sunkit_image/coalignment/interface.py @@ -10,7 +10,7 @@ from sunkit_image.coalignment.util.decorators import registered_methods -__all__ = ["coalignment", "affine_params"] +__all__ = ["coalignment", "affine_params", "update_fits_wcs_metadata"] class affine_params(NamedTuple): @@ -77,27 +77,6 @@ def update_fits_wcs_metadata(reference_map, target_map, affine_params): return fixed_map -def warn_user_of_nan(array, name): - """ - Issues a warning if there are NaN values in the input array. - - Parameters - ---------- - array : `numpy.ndarray` - The input array to be checked for NaN values. - name : str - The name of the array, used in the warning message. - """ - if not np.all(np.isfinite(array)): - warnings.warn( - f"The {name} map has nonfinite entries. " - "This could cause errors when calculating shift between two " - "images. Please make sure there are no infinity or " - "Not a Number values. For instance, replacing them with a " - "local mean.", - SunpyUserWarning, - stacklevel=3, - ) def warn_user_of_separation(reference_map,target_map): @@ -112,7 +91,6 @@ def warn_user_of_separation(reference_map,target_map): target_map : sunpy.map.Map The target map to be coaligned to the reference map. """ - # Calculate separation between the reference and target maps ref_coord = SkyCoord(reference_map.observer_coordinate) target_coord = SkyCoord(target_map.observer_coordinate) angular_separation = ref_coord.separation(target_coord) @@ -165,16 +143,13 @@ def coalignment(reference_map, target_map, method): If the specified method is not registered. """ if method not in registered_methods: - msg = f"Method {method} is not a registered method. Please register before using." + msg = (f"Method {method} is not a registered method: {list(registered_methods.keys())}." + "The method needs to be registered, with the correct import.") raise ValueError(msg) target_array = target_map.data reference_array = reference_map.data - # Warn user if any NANs, Infs, etc are present in the input or the template array - warn_user_of_nan(target_array, "target") - warn_user_of_nan(reference_array, "reference") - # Warn user if the separation between the reference and target maps is large warn_user_of_separation(reference_map, target_map) affine_params = registered_methods[method](reference_array, target_array) From 6f0bc9d0bfd7eae5f9e029ff16bf0fd7f3e62356 Mon Sep 17 00:00:00 2001 From: Deus1704 Date: Fri, 2 Aug 2024 19:44:07 +0530 Subject: [PATCH 27/68] made changes based on suggestions --- .../adding_a_coalignment_method.rst | 13 ++++- .../using_new_coalignment_interface.rst | 25 ---------- .../using_the_coalignment_interface.rst | 48 +++++++++++++++++++ sunkit_image/coalignment/__init__.py | 5 +- .../coalignment/{util => }/decorators.py | 0 sunkit_image/coalignment/interface.py | 27 ++++------- sunkit_image/coalignment/match_template.py | 2 +- .../{util => }/tests/test_decorators.py | 2 +- sunkit_image/coalignment/util/__init__.py | 0 .../coalignment/util/tests/__init__.py | 0 sunkit_image/conftest.py | 44 ++++++++++++++++- 11 files changed, 118 insertions(+), 48 deletions(-) delete mode 100644 docs/how_to_guide/using_new_coalignment_interface.rst create mode 100644 docs/how_to_guide/using_the_coalignment_interface.rst rename sunkit_image/coalignment/{util => }/decorators.py (100%) rename sunkit_image/coalignment/{util => }/tests/test_decorators.py (74%) delete mode 100644 sunkit_image/coalignment/util/__init__.py delete mode 100644 sunkit_image/coalignment/util/tests/__init__.py diff --git a/docs/how_to_guide/adding_a_coalignment_method.rst b/docs/how_to_guide/adding_a_coalignment_method.rst index 1479e5db..5dab8696 100644 --- a/docs/how_to_guide/adding_a_coalignment_method.rst +++ b/docs/how_to_guide/adding_a_coalignment_method.rst @@ -4,7 +4,7 @@ Add a New Coalignment Method **************************** -If you want to register a new coalignment method that can be used by :func:`~sunkit_image.coalignment.coalignment`, you can use :func:`~sunkit_image.coalignment.util.decorators.register_coalignment_method`: +If you want to register a new coalignment method that can be used by :func:`~sunkit_image.coalignment.coalignment`, you can use :func:`~sunkit_image.coalignment.decorators.register_coalignment_method`: .. code-block:: python @@ -46,3 +46,14 @@ Handling NaNs and Infs Proper handling of these values is expected to be included in the registered methods. The :func:`~sunkit_image.coalignment.coalignment` function does not change any problematic values. + + +Checking if the Method is Registered +==================================== +To check if your method is registered, you can check if it is present in the registered methods dictionary :func:`~sunkit_image.coalignment.decorators.registered_methods` using the following code: + +.. code-block:: python + + import pprint + from sunkit_image.coalignment.decorators import registered_methods + pprint(registered_methods) \ No newline at end of file diff --git a/docs/how_to_guide/using_new_coalignment_interface.rst b/docs/how_to_guide/using_new_coalignment_interface.rst deleted file mode 100644 index bbd9b3e2..00000000 --- a/docs/how_to_guide/using_new_coalignment_interface.rst +++ /dev/null @@ -1,25 +0,0 @@ -.. _sunkit-image-how-to-guide-using-the-coalignment-interface: - -******************************* -Using the Coalignment Interface -******************************* - -This guide explains how to use the coalignment interface to improve the alignment of solar images. -The :func:`~sunkit_image.coalignment.coalignment` function facilitates image coalignment using a range of registered methods. -Refer to the docstring of :func:`~sunkit_image.coalignment.coalignment` for detailed information on the parameters, return values, and exceptions. - -Here is an example of how to use the :func:`~sunkit_image.coalignment.coalignment` function: - -.. code-block:: python - - from sunpy.map import Map - from sunkit_image.coalignment.interface import coalignment - import sunpy.data.sample - - reference_map = Map(sunpy.data.sample.AIA_193_CUTOUT01_IMAGE) - target_map = Map(sunpy.data.sample.AIA_193_CUTOUT02_IMAGE) - - coaligned_map = coalignment(reference_map, target_map, method="match_template") - -There is another example (link to the EIS and AIA gallery example). - diff --git a/docs/how_to_guide/using_the_coalignment_interface.rst b/docs/how_to_guide/using_the_coalignment_interface.rst new file mode 100644 index 00000000..43718ef9 --- /dev/null +++ b/docs/how_to_guide/using_the_coalignment_interface.rst @@ -0,0 +1,48 @@ +.. _sunkit-image-how-to-guide-using-the-coalignment-interface: + +******************************* +Using the Coalignment Interface +******************************* + +This guide explains how to use the coalignment interface to improve the alignment of solar images. +The :func:`~sunkit_image.coalignment.coalignment` function facilitates image coalignment using a range of registered methods. +Refer to the docstring of :func:`~sunkit_image.coalignment.coalignment` for detailed information on the parameters, return values, and exceptions. + +Here is an example of how to use the :func:`~sunkit_image.coalignment.coalignment` function: + +.. code-block:: python + + import numpy as np + from sunpy.map import Map + from sunkit_image.coalignment import coalignment + import sunpy.data.sample + import matplotlib.pyplot as plt + # Load the AIA images + reference_map = Map(sunpy.data.sample.AIA_193_IMAGE) + target_map = Map(sunpy.data.sample.AIA_193_CUTOUT03_IMAGE) + ## Should match the platescale before coalignment so as to maintain correctness; + nx= (reference_map.scale.axis1 * reference_map.dimensions.x )/target_map.scale.axis1 + ny= (reference_map.scale.axis2 * reference_map.dimensions.y )/target_map.scale.axis2 + aia_193_downsampled_map = reference_map.resample(u.Quantity([nx,ny])) + # Coalign the target map to the reference map + coaligned_map = coalignment(aia_193_downsampled_map, target_map, method="match_template") + # Define contour levels + levels = np.linspace(200, 1200, 5) * target_map.unit + # Plotting + fig = plt.figure(figsize=(15, 7.5)) + ax = fig.add_subplot(121, projection=target_map) + target_map.plot(axes=ax, title='Before coalignment') + bounds = ax.axis() + aia_193_downsampled_map.draw_contours(levels, axes=ax, cmap='viridis', alpha=0.7) + ax.axis(bounds) + ax = fig.add_subplot(122, projection=coaligned_map) + coaligned_map.plot(axes=ax, title='After coalignment') + bounds = ax.axis() + aia_193_downsampled_map.draw_contours(levels, axes=ax, cmap='viridis', alpha=0.7) + ax.axis(bounds) + + plt.show() + + +There is another example :ref:`sphx_glr_generated_gallery_adding_a_coalignment_method.py` focused on aligning an EIS raster with an AIA image. + diff --git a/sunkit_image/coalignment/__init__.py b/sunkit_image/coalignment/__init__.py index ec6206b8..ef5bb466 100644 --- a/sunkit_image/coalignment/__init__.py +++ b/sunkit_image/coalignment/__init__.py @@ -1,4 +1,5 @@ -from sunkit_image.coalignment.interface import coalignment +from sunkit_image.coalignment.interface import coalignment,affine_params +from sunkit_image.coalignment.decorators import register_coalignment_method,registered_methods from sunkit_image.coalignment.match_template import match_template_coalign as _ -__all__ = ["coalignment"] +__all__ = ["coalignment", "register_coalignment_method", "registered_methods", "affine_params"] diff --git a/sunkit_image/coalignment/util/decorators.py b/sunkit_image/coalignment/decorators.py similarity index 100% rename from sunkit_image/coalignment/util/decorators.py rename to sunkit_image/coalignment/decorators.py diff --git a/sunkit_image/coalignment/interface.py b/sunkit_image/coalignment/interface.py index 8b8668ba..bdf0d505 100644 --- a/sunkit_image/coalignment/interface.py +++ b/sunkit_image/coalignment/interface.py @@ -8,32 +8,23 @@ from sunpy.util.exceptions import SunpyUserWarning -from sunkit_image.coalignment.util.decorators import registered_methods +from sunkit_image.coalignment.decorators import registered_methods __all__ = ["coalignment", "affine_params", "update_fits_wcs_metadata"] class affine_params(NamedTuple): """ - A named tuple to store the affine transformation parameters used for - updating the metadata. - - Attributes - ---------- - scale : tuple[tuple[float, float], tuple[float, float]] - The scale matrix representing the scaling transformation. - This 2x2 matrix defines how the image is scaled along the x and y axes. - - rotation_matrix : tuple[tuple[float, float], tuple[float, float]] - The rotation matrix representing the rotation transformation. - This 2x2 matrix defines the rotation of the image in the plane. - - translation : tuple[float, float] - The translation vector representing the translation transformation. - This 2-element tuple defines the shift of the image along the x and y axes in pixels. + A 2x2 scale matrix defining the image scaling along the x and y axes. """ scale: tuple[tuple[float, float], tuple[float, float]] + """ + A 2x2 matrix defining the rotation transformation of the image. + """ rotation_matrix: tuple[tuple[float, float], tuple[float, float]] + """ + A 2-element tuple stores the translation of the image along the x and y axes in pixels. + """ translation: tuple[float, float] @@ -44,6 +35,8 @@ def update_fits_wcs_metadata(reference_map, target_map, affine_params): Parameters ---------- + reference_map : `sunpy.map.Map` + The reference map object to which the target map is to be coaligned. target_map : `sunpy.map.Map` The original map object whose metadata is to be updated. affine_params : object diff --git a/sunkit_image/coalignment/match_template.py b/sunkit_image/coalignment/match_template.py index e2db4e6e..d335ba67 100644 --- a/sunkit_image/coalignment/match_template.py +++ b/sunkit_image/coalignment/match_template.py @@ -4,7 +4,7 @@ import astropy.units as u from sunkit_image.coalignment.interface import affine_params -from sunkit_image.coalignment.util.decorators import register_coalignment_method +from sunkit_image.coalignment.decorators import register_coalignment_method __all__ = ["match_template_coalign"] diff --git a/sunkit_image/coalignment/util/tests/test_decorators.py b/sunkit_image/coalignment/tests/test_decorators.py similarity index 74% rename from sunkit_image/coalignment/util/tests/test_decorators.py rename to sunkit_image/coalignment/tests/test_decorators.py index 12b231a3..8a3761c0 100644 --- a/sunkit_image/coalignment/util/tests/test_decorators.py +++ b/sunkit_image/coalignment/tests/test_decorators.py @@ -1,4 +1,4 @@ -from sunkit_image.coalignment.util.decorators import register_coalignment_method, registered_methods +from sunkit_image.coalignment.decorators import register_coalignment_method, registered_methods def test_register_coalignment_method(): diff --git a/sunkit_image/coalignment/util/__init__.py b/sunkit_image/coalignment/util/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/sunkit_image/coalignment/util/tests/__init__.py b/sunkit_image/coalignment/util/tests/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/sunkit_image/conftest.py b/sunkit_image/conftest.py index d8b6d0d3..32ec9bb9 100644 --- a/sunkit_image/conftest.py +++ b/sunkit_image/conftest.py @@ -2,7 +2,7 @@ import logging import tempfile import importlib.util - +from pathlib import Path import numpy as np import pytest import skimage @@ -11,6 +11,7 @@ import astropy.config.paths from astropy.utils.data import get_pkg_data_filename +import sunpy.data.test import sunpy.data.sample import sunpy.map from sunpy.coordinates import Helioprojective, get_earth @@ -183,3 +184,44 @@ def aia_171(request): def hmi_map(): hmi_file = get_test_filepath("hmi_continuum_test_lowres_data.fits") return sunpy.map.Map(hmi_file) + + +@pytest.fixture() +def aia171_test_clipping(): + return np.asarray([0.2, -0.3, -1.0001]) + + +@pytest.fixture() +def aia171_test_map(): + testpath = sunpy.data.test.rootdir + return sunpy.map.Map(Path(testpath) / "aia_171_level1.fits") + + +@pytest.fixture() +def aia171_test_shift(): + return np.array([3, 5]) + + +@pytest.fixture() +def aia171_test_map_layer(aia171_test_map): + return aia171_test_map.data.astype("float32") # SciPy 1.4 requires at least 16-bit floats + + +@pytest.fixture() +def aia171_test_map_layer_shape(aia171_test_map_layer): + return aia171_test_map_layer.shape + + +@pytest.fixture() +def aia171_test_template(aia171_test_shift, aia171_test_map_layer, aia171_test_map_layer_shape): + # Test template + a1 = aia171_test_shift[0] + aia171_test_map_layer_shape[0] // 4 + a2 = aia171_test_shift[0] + 3 * aia171_test_map_layer_shape[0] // 4 + b1 = aia171_test_shift[1] + aia171_test_map_layer_shape[1] // 4 + b2 = aia171_test_shift[1] + 3 * aia171_test_map_layer_shape[1] // 4 + return aia171_test_map_layer[a1:a2, b1:b2] + + +@pytest.fixture() +def aia171_test_template_shape(aia171_test_template): + return aia171_test_template.shape From 7eb84b1f7b090f664956503d91c8ae2a78414d36 Mon Sep 17 00:00:00 2001 From: Deus1704 Date: Fri, 2 Aug 2024 19:57:26 +0530 Subject: [PATCH 28/68] pre-commit --- docs/how_to_guide/adding_a_coalignment_method.rst | 6 +++--- docs/how_to_guide/using_the_coalignment_interface.rst | 3 +-- sunkit_image/coalignment/__init__.py | 4 ++-- sunkit_image/coalignment/interface.py | 5 ++--- sunkit_image/coalignment/match_template.py | 2 +- sunkit_image/coalignment/tests/test_coalignment.py | 2 +- sunkit_image/conftest.py | 3 ++- 7 files changed, 12 insertions(+), 13 deletions(-) diff --git a/docs/how_to_guide/adding_a_coalignment_method.rst b/docs/how_to_guide/adding_a_coalignment_method.rst index 5dab8696..73bf9515 100644 --- a/docs/how_to_guide/adding_a_coalignment_method.rst +++ b/docs/how_to_guide/adding_a_coalignment_method.rst @@ -45,7 +45,7 @@ Handling NaNs and Infs ====================== Proper handling of these values is expected to be included in the registered methods. -The :func:`~sunkit_image.coalignment.coalignment` function does not change any problematic values. +The :func:`~sunkit_image.coalignment.coalignment` function does not change any problematic values. Checking if the Method is Registered @@ -53,7 +53,7 @@ Checking if the Method is Registered To check if your method is registered, you can check if it is present in the registered methods dictionary :func:`~sunkit_image.coalignment.decorators.registered_methods` using the following code: .. code-block:: python - + import pprint from sunkit_image.coalignment.decorators import registered_methods - pprint(registered_methods) \ No newline at end of file + pprint(registered_methods) diff --git a/docs/how_to_guide/using_the_coalignment_interface.rst b/docs/how_to_guide/using_the_coalignment_interface.rst index 43718ef9..baf50f4d 100644 --- a/docs/how_to_guide/using_the_coalignment_interface.rst +++ b/docs/how_to_guide/using_the_coalignment_interface.rst @@ -44,5 +44,4 @@ Here is an example of how to use the :func:`~sunkit_image.coalignment.coalignmen plt.show() -There is another example :ref:`sphx_glr_generated_gallery_adding_a_coalignment_method.py` focused on aligning an EIS raster with an AIA image. - +There is another example :ref:`sphx_glr_generated_gallery_adding_a_coalignment_method.py` focused on aligning an IS raster with an AIA image. diff --git a/sunkit_image/coalignment/__init__.py b/sunkit_image/coalignment/__init__.py index ef5bb466..3eb09037 100644 --- a/sunkit_image/coalignment/__init__.py +++ b/sunkit_image/coalignment/__init__.py @@ -1,5 +1,5 @@ -from sunkit_image.coalignment.interface import coalignment,affine_params -from sunkit_image.coalignment.decorators import register_coalignment_method,registered_methods +from sunkit_image.coalignment.decorators import register_coalignment_method, registered_methods +from sunkit_image.coalignment.interface import affine_params, coalignment from sunkit_image.coalignment.match_template import match_template_coalign as _ __all__ = ["coalignment", "register_coalignment_method", "registered_methods", "affine_params"] diff --git a/sunkit_image/coalignment/interface.py b/sunkit_image/coalignment/interface.py index bdf0d505..f0b339f8 100644 --- a/sunkit_image/coalignment/interface.py +++ b/sunkit_image/coalignment/interface.py @@ -1,8 +1,6 @@ import warnings from typing import NamedTuple -import numpy as np - import astropy.units as u from astropy.coordinates import SkyCoord @@ -23,7 +21,8 @@ class affine_params(NamedTuple): """ rotation_matrix: tuple[tuple[float, float], tuple[float, float]] """ - A 2-element tuple stores the translation of the image along the x and y axes in pixels. + A 2-element tuple stores the translation of the image along the x and y + axes in pixels. """ translation: tuple[float, float] diff --git a/sunkit_image/coalignment/match_template.py b/sunkit_image/coalignment/match_template.py index d335ba67..4f302d12 100644 --- a/sunkit_image/coalignment/match_template.py +++ b/sunkit_image/coalignment/match_template.py @@ -3,8 +3,8 @@ import astropy.units as u -from sunkit_image.coalignment.interface import affine_params from sunkit_image.coalignment.decorators import register_coalignment_method +from sunkit_image.coalignment.interface import affine_params __all__ = ["match_template_coalign"] diff --git a/sunkit_image/coalignment/tests/test_coalignment.py b/sunkit_image/coalignment/tests/test_coalignment.py index 4b655f41..7d1b6b56 100644 --- a/sunkit_image/coalignment/tests/test_coalignment.py +++ b/sunkit_image/coalignment/tests/test_coalignment.py @@ -14,7 +14,7 @@ @pytest.fixture() def is_test_map(): - return sunpy.map.Map(get_test_filepath("eis_20140108_095727.fe_12_195_119.2c-0.int.fits")) + return sunpy.map.Map(get_test_filepath("is_20140108_095727.fe_12_195_119.2c-0.int.fits")) @pytest.fixture() def aia193_test_map(): diff --git a/sunkit_image/conftest.py b/sunkit_image/conftest.py index 32ec9bb9..1d9fe4ec 100644 --- a/sunkit_image/conftest.py +++ b/sunkit_image/conftest.py @@ -3,6 +3,7 @@ import tempfile import importlib.util from pathlib import Path + import numpy as np import pytest import skimage @@ -11,8 +12,8 @@ import astropy.config.paths from astropy.utils.data import get_pkg_data_filename -import sunpy.data.test import sunpy.data.sample +import sunpy.data.test import sunpy.map from sunpy.coordinates import Helioprojective, get_earth from sunpy.map.header_helper import make_fitswcs_header From cfb93eab0cb3faf486279101510ef3c188ba7c20 Mon Sep 17 00:00:00 2001 From: Jayraj Dulange <117574289+Deus1704@users.noreply.github.com> Date: Fri, 2 Aug 2024 21:25:23 +0530 Subject: [PATCH 29/68] Update docs/how_to_guide/using_the_coalignment_interface.rst Co-authored-by: Will Barnes --- docs/how_to_guide/using_the_coalignment_interface.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/how_to_guide/using_the_coalignment_interface.rst b/docs/how_to_guide/using_the_coalignment_interface.rst index baf50f4d..f3b98e76 100644 --- a/docs/how_to_guide/using_the_coalignment_interface.rst +++ b/docs/how_to_guide/using_the_coalignment_interface.rst @@ -44,4 +44,4 @@ Here is an example of how to use the :func:`~sunkit_image.coalignment.coalignmen plt.show() -There is another example :ref:`sphx_glr_generated_gallery_adding_a_coalignment_method.py` focused on aligning an IS raster with an AIA image. +There is another example :ref:`sphx_glr_generated_gallery_adding_a_coalignment_method.py` focused on aligning an EIS raster with an AIA image. From 3079671d1ae90d4c248cc9c03e061d86f9b980e2 Mon Sep 17 00:00:00 2001 From: Jayraj Dulange Date: Fri, 2 Aug 2024 16:56:12 +0000 Subject: [PATCH 30/68] rename all please --- examples/aligning_aia_with_eis_maps.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/examples/aligning_aia_with_eis_maps.py b/examples/aligning_aia_with_eis_maps.py index 96f1d3c2..dc9e1be4 100644 --- a/examples/aligning_aia_with_eis_maps.py +++ b/examples/aligning_aia_with_eis_maps.py @@ -57,11 +57,11 @@ ax = fig.add_subplot(121, projection=eis_map) eis_map.plot(axes=ax, title='Before') -aia_193_full_disc_map.draw_contours(levels, axes=ax, alpha=0.3) +aia_map.draw_contours(levels, axes=ax, alpha=0.3) ax = fig.add_subplot(122, projection=coaligned_eis_map) coaligned_eis_map.plot(axes=ax, title='After') -aia_193_full_disc_map.draw_contours(levels, axes=ax, alpha=0.3) +aia_map.draw_contours(levels, axes=ax, alpha=0.3) fig.tight_layout() From 8ed41731d867efb7fec3eb9c1a1bd6a4d2c361de Mon Sep 17 00:00:00 2001 From: Deus1704 Date: Wed, 7 Aug 2024 20:37:28 +0530 Subject: [PATCH 31/68] renamed coalignment to coalign, made example plot better, removed namedtuple and decorators from higher level initialization --- .../adding_a_coalignment_method.rst | 7 ++--- .../using_the_coalignment_interface.rst | 13 ++++---- examples/aligning_aia_with_eis_maps.py | 29 ++++++++++-------- sunkit_image/coalignment/__init__.py | 2 +- sunkit_image/coalignment/interface.py | 30 +++++++++---------- sunkit_image/coalignment/match_template.py | 15 ++++------ .../coalignment/tests/test_coalignment.py | 6 ++-- 7 files changed, 48 insertions(+), 54 deletions(-) diff --git a/docs/how_to_guide/adding_a_coalignment_method.rst b/docs/how_to_guide/adding_a_coalignment_method.rst index 73bf9515..ad556140 100644 --- a/docs/how_to_guide/adding_a_coalignment_method.rst +++ b/docs/how_to_guide/adding_a_coalignment_method.rst @@ -4,7 +4,7 @@ Add a New Coalignment Method **************************** -If you want to register a new coalignment method that can be used by :func:`~sunkit_image.coalignment.coalignment`, you can use :func:`~sunkit_image.coalignment.decorators.register_coalignment_method`: +If you want to register a new coalignment method that can be used by :func:`~sunkit_image.coalignment.coalign`, you can use :func:`~sunkit_image.coalignment.decorators.register_coalignment_method`: .. code-block:: python @@ -45,7 +45,7 @@ Handling NaNs and Infs ====================== Proper handling of these values is expected to be included in the registered methods. -The :func:`~sunkit_image.coalignment.coalignment` function does not change any problematic values. +The :func:`~sunkit_image.coalignment.coalign` function does not change any problematic values. Checking if the Method is Registered @@ -54,6 +54,5 @@ To check if your method is registered, you can check if it is present in the reg .. code-block:: python - import pprint from sunkit_image.coalignment.decorators import registered_methods - pprint(registered_methods) + print(registered_methods) diff --git a/docs/how_to_guide/using_the_coalignment_interface.rst b/docs/how_to_guide/using_the_coalignment_interface.rst index f3b98e76..c49feb8a 100644 --- a/docs/how_to_guide/using_the_coalignment_interface.rst +++ b/docs/how_to_guide/using_the_coalignment_interface.rst @@ -5,16 +5,16 @@ Using the Coalignment Interface ******************************* This guide explains how to use the coalignment interface to improve the alignment of solar images. -The :func:`~sunkit_image.coalignment.coalignment` function facilitates image coalignment using a range of registered methods. -Refer to the docstring of :func:`~sunkit_image.coalignment.coalignment` for detailed information on the parameters, return values, and exceptions. +The :func:`~sunkit_image.coalignment.coalign` function facilitates image coalignment using a range of registered methods. +Refer to the docstring of :func:`~sunkit_image.coalignment.coalign` for detailed information on the parameters, return values, and exceptions. -Here is an example of how to use the :func:`~sunkit_image.coalignment.coalignment` function: +Here is an example of how to use the :func:`~sunkit_image.coalignment.coalign` function: -.. code-block:: python +.. mpl:: import numpy as np from sunpy.map import Map - from sunkit_image.coalignment import coalignment + from sunkit_image.coalignment import coalign import sunpy.data.sample import matplotlib.pyplot as plt # Load the AIA images @@ -25,7 +25,7 @@ Here is an example of how to use the :func:`~sunkit_image.coalignment.coalignmen ny= (reference_map.scale.axis2 * reference_map.dimensions.y )/target_map.scale.axis2 aia_193_downsampled_map = reference_map.resample(u.Quantity([nx,ny])) # Coalign the target map to the reference map - coaligned_map = coalignment(aia_193_downsampled_map, target_map, method="match_template") + coaligned_map = coalign(aia_193_downsampled_map, target_map, method="match_template") # Define contour levels levels = np.linspace(200, 1200, 5) * target_map.unit # Plotting @@ -43,5 +43,4 @@ Here is an example of how to use the :func:`~sunkit_image.coalignment.coalignmen plt.show() - There is another example :ref:`sphx_glr_generated_gallery_adding_a_coalignment_method.py` focused on aligning an EIS raster with an AIA image. diff --git a/examples/aligning_aia_with_eis_maps.py b/examples/aligning_aia_with_eis_maps.py index dc9e1be4..ba0ae381 100644 --- a/examples/aligning_aia_with_eis_maps.py +++ b/examples/aligning_aia_with_eis_maps.py @@ -9,24 +9,23 @@ import matplotlib.pyplot as plt import astropy.units as u +from astropy.visualization import ImageNormalize, AsinhStretch from sunpy.net import Fido ,attrs as a import sunpy.map -from sunkit_image.coalignment import coalignment +from sunkit_image.coalignment import coalign from sunkit_image.data.test import get_test_filepath ################################################################################### -# Firstly, us acquire the EIS and AIA data we need for this example. +# Firstly, let us acquire the EIS and AIA data we need for this example. eis_map = sunpy.map.Map(get_test_filepath("eis_20140108_095727.fe_12_195_119.2c-0.int.fits")) eis_map.plot() +################################################################################### # Lets find the AIA image that we want to use as a reference. # We would be using the image near the date_average of this raster. -date_avg = eis_map.meta["date_avg"] -date_start = eis_map.meta["date_beg"] -date_end = eis_map.meta["date_end"] -query = Fido.search(a.Time(start=date_start, near=date_avg, end=date_end), a.Instrument('aia'), a.Wavelength(193*u.angstrom)) +query = Fido.search(a.Time(start=eis_map.date_start, near=eis_map.date_average, end=eis_map.date_end), a.Instrument('aia'), a.Wavelength(193*u.angstrom)) aia_file = Fido.fetch(query) aia_map = sunpy.map.Map(aia_file) @@ -40,29 +39,33 @@ aia_downsampled = aia_map.resample(u.Quantity([nx, ny])) #################################################################################### -# Now we can coalign EIS to AIAusing a cross-correlation. +# Now we can coalign EIS to AIA using a cross-correlation. # For this we would be using the "match_template" method. # For details of the implementation refer to the # documentation of `~sunkit_image.coalignment.match_template`. -coaligned_eis_map = coalignment(aia_downsampled, eis_map, "match_template") +coaligned_eis_map = coalign(aia_downsampled, eis_map, "match_template") #################################################################################### # To check now effective this has been, we will plot the EIS data and # overlap the bright regions from AIA before and after coalignment. +# Plot the EIS data and overlap the bright regions from AIA before and after coalignment. levels = [200, 400, 500, 700, 800] * aia_map.unit fig = plt.figure(figsize=(15, 7.5)) -ax = fig.add_subplot(121, projection=eis_map) -eis_map.plot(axes=ax, title='Before') +# Plot before coalignment +ax = fig.add_subplot(121, projection=eis_map) +eis_map.plot(axes=ax, title='Before', aspect=eis_map.meta['cdelt2'] / eis_map.meta['cdelt1'], + cmap='Blues_r', norm=ImageNormalize(stretch=AsinhStretch())) aia_map.draw_contours(levels, axes=ax, alpha=0.3) +# Plot after coalignment ax = fig.add_subplot(122, projection=coaligned_eis_map) -coaligned_eis_map.plot(axes=ax, title='After') +coaligned_eis_map.plot(axes=ax, title='After', aspect=eis_map.meta['cdelt2'] / eis_map.meta['cdelt1'], + cmap='Blues_r', norm=ImageNormalize(stretch=AsinhStretch())) aia_map.draw_contours(levels, axes=ax, alpha=0.3) fig.tight_layout() - -plt.show() +plt.show() \ No newline at end of file diff --git a/sunkit_image/coalignment/__init__.py b/sunkit_image/coalignment/__init__.py index 3eb09037..158693b2 100644 --- a/sunkit_image/coalignment/__init__.py +++ b/sunkit_image/coalignment/__init__.py @@ -1,5 +1,5 @@ from sunkit_image.coalignment.decorators import register_coalignment_method, registered_methods -from sunkit_image.coalignment.interface import affine_params, coalignment +from sunkit_image.coalignment.interface import affine_params, coalign from sunkit_image.coalignment.match_template import match_template_coalign as _ __all__ = ["coalignment", "register_coalignment_method", "registered_methods", "affine_params"] diff --git a/sunkit_image/coalignment/interface.py b/sunkit_image/coalignment/interface.py index f0b339f8..a8f48085 100644 --- a/sunkit_image/coalignment/interface.py +++ b/sunkit_image/coalignment/interface.py @@ -1,14 +1,16 @@ import warnings from typing import NamedTuple +import numpy as np import astropy.units as u from astropy.coordinates import SkyCoord from sunpy.util.exceptions import SunpyUserWarning +from sunpy.sun.models import differential_rotation from sunkit_image.coalignment.decorators import registered_methods -__all__ = ["coalignment", "affine_params", "update_fits_wcs_metadata"] +__all__ = ["coalign"] class affine_params(NamedTuple): @@ -47,18 +49,17 @@ def update_fits_wcs_metadata(reference_map, target_map, affine_params): `sunpy.map.Map` A new sunpy map object with updated metadata reflecting the affine transformation. """ - target_map.reference_pixel pc_matrix = target_map.rotation_matrix # Extacting the affine parameters translation = affine_params.translation scale = affine_params.scale rotation_matrix = affine_params.rotation_matrix # Updating the PC matrix - new_pc_matrix = pc_matrix @ rotation_matrix @ scale + new_pc_matrix = pc_matrix @ rotation_matrix reference_coord = reference_map.pixel_to_world(translation[0], translation[1]) - Txshift = reference_coord.Tx - target_map.bottom_left_coord.Tx - Tyshift = reference_coord.Ty - target_map.bottom_left_coord.Ty + Txshift = reference_coord.Tx - target_map.reference_coordinate.Tx + Tyshift = reference_coord.Ty - target_map.reference_coordinate.Ty # Create a new map with the updated metadata fixed_map = target_map.shift_reference_coord(Txshift, Tyshift) @@ -70,7 +71,6 @@ def update_fits_wcs_metadata(reference_map, target_map, affine_params): return fixed_map - def warn_user_of_separation(reference_map,target_map): """ Issues a warning if the separation between the reference and target maps is @@ -87,10 +87,10 @@ def warn_user_of_separation(reference_map,target_map): target_coord = SkyCoord(target_map.observer_coordinate) angular_separation = ref_coord.separation(target_coord) if angular_separation > (1*u.deg): - warnings.warn( - "The separation between the reference and target maps is large. " + warnings.warn(## warn due to large angular separation + "The angular separation between the reference and target maps is large. " "This could cause errors when calculating shift between two " - "images. Please make sure the maps are close in time and space.", + "images. Please make sure the maps are close in space.", SunpyUserWarning, stacklevel=3, ) @@ -98,19 +98,18 @@ def warn_user_of_separation(reference_map,target_map): ref_time = reference_map.date target_time = target_map.date time_diff = abs(ref_time - target_time) - solar_rotation_rate = 13.33*u.deg / u.day ### Verify this value - time_separation_angle = (time_diff.to(u.day) * solar_rotation_rate).to(u.deg) + time_separation_angle = differential_rotation(time_diff.to(u.day), reference_map.center.Tx, model='howard') if time_separation_angle > (1*u.deg): - warnings.warn( - "The separation between the reference and target maps in time is large. " + warnings.warn(## warn due to large time separation + "The time difference between the reference and target maps in time is large. " "This could cause errors when calculating shift between two " - "images. Please make sure the maps are close in time and space.", + "images. Please make sure the maps are close in time.", SunpyUserWarning, stacklevel=3, ) -def coalignment(reference_map, target_map, method): +def coalign(reference_map, target_map, method): """ Performs image coalignment using a specified method. It updates the metadata of the target map so as to align it with the reference map. @@ -141,7 +140,6 @@ def coalignment(reference_map, target_map, method): target_array = target_map.data reference_array = reference_map.data - warn_user_of_separation(reference_map, target_map) affine_params = registered_methods[method](reference_array, target_array) diff --git a/sunkit_image/coalignment/match_template.py b/sunkit_image/coalignment/match_template.py index 4f302d12..ed19ccf4 100644 --- a/sunkit_image/coalignment/match_template.py +++ b/sunkit_image/coalignment/match_template.py @@ -23,9 +23,7 @@ def _parabolic_turning_point(y): float The x-coordinate of the turning point. """ - numerator = -0.5 * y.dot([-1, 0, 1]) - denominator = y.dot([1, -2, 1]) - return numerator / denominator + return (-0.5 * y.dot([-1, 0, 1]))/ y.dot([1, -2, 1]) def _get_correlation_shifts(array): @@ -92,7 +90,7 @@ def _find_best_match_location(corr): @register_coalignment_method("match_template") -def match_template_coalign(reference_array, target_array ): +def match_template_coalign(reference_array, target_array): """ Perform coalignment by matching the template array to the input array. @@ -117,10 +115,7 @@ def match_template_coalign(reference_array, target_array ): corr = match_template(np.float64(reference_array), np.float64(target_array)) # Find the best match location y_shift, x_shift = _find_best_match_location(corr) - # Particularly for this, there is no change in the rotation or scaling, hence the hardcoded values of scale to 1.0 & rotation to identity matrix - scale = [(1.0, 0), (0, 1.0)] - rotation = 0.0 # Considering the angle is in radians by default - cos_theta = np.cos(rotation) - sin_theta = np.sin(rotation) - rotation_matrix = np.array([[cos_theta, -sin_theta], [sin_theta, cos_theta]]) + # Particularly for this method, there is no change in the rotation or scaling, hence the hardcoded values of scale to 1.0 & rotation to identity matrix + scale = np.array([[1.0, 0], [0, 1.0]]) + rotation_matrix = np.eye(2) return affine_params(scale=scale, rotation_matrix=rotation_matrix, translation=(x_shift * u.pixel, y_shift * u.pixel)) diff --git a/sunkit_image/coalignment/tests/test_coalignment.py b/sunkit_image/coalignment/tests/test_coalignment.py index 7d1b6b56..fb343400 100644 --- a/sunkit_image/coalignment/tests/test_coalignment.py +++ b/sunkit_image/coalignment/tests/test_coalignment.py @@ -8,7 +8,7 @@ from sunpy.net import Fido from sunpy.net import attrs as a -from sunkit_image.coalignment import coalignment +from sunkit_image.coalignment import coalign from sunkit_image.data.test import get_test_filepath @@ -36,7 +36,7 @@ def aia193_test_shifted_map(aia193_test_map): return Map(shifted_data, aia193_test_map.meta) def test_coalignment(is_test_map, aia193_test_downsampled_map): - coaligned_is_map = coalignment(aia193_test_downsampled_map, is_test_map, "match_template") + coaligned_is_map = coalign(aia193_test_downsampled_map, is_test_map, "match_template") # Assertions to ensure the maps are aligned assert coaligned_is_map.data.shape == is_test_map.data.shape @@ -44,7 +44,7 @@ def test_coalignment(is_test_map, aia193_test_downsampled_map): assert coaligned_is_map.wcs.wcs.crval[1] == aia193_test_downsampled_map.wcs.wcs.crval[1] def test_shifted_map_alignment(is_test_map, aia193_test_shifted_map): - coaligned_is_map = coalignment(aia193_test_shifted_map, is_test_map, "match_template") + coaligned_is_map = coalign(aia193_test_shifted_map, is_test_map, "match_template") # Ensure the alignment is corrected by comparing with the unshifted map assert coaligned_is_map.data.shape == is_test_map.data.shape From f8d1f5a71e54484e925e43bdd736b1e4654793a1 Mon Sep 17 00:00:00 2001 From: Deus1704 Date: Wed, 7 Aug 2024 20:41:15 +0530 Subject: [PATCH 32/68] here too --- sunkit_image/coalignment/__init__.py | 2 +- sunkit_image/coalignment/interface.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/sunkit_image/coalignment/__init__.py b/sunkit_image/coalignment/__init__.py index 158693b2..0de33bad 100644 --- a/sunkit_image/coalignment/__init__.py +++ b/sunkit_image/coalignment/__init__.py @@ -2,4 +2,4 @@ from sunkit_image.coalignment.interface import affine_params, coalign from sunkit_image.coalignment.match_template import match_template_coalign as _ -__all__ = ["coalignment", "register_coalignment_method", "registered_methods", "affine_params"] +__all__ = ["coalign"] diff --git a/sunkit_image/coalignment/interface.py b/sunkit_image/coalignment/interface.py index a8f48085..83d6b0f5 100644 --- a/sunkit_image/coalignment/interface.py +++ b/sunkit_image/coalignment/interface.py @@ -10,7 +10,7 @@ from sunkit_image.coalignment.decorators import registered_methods -__all__ = ["coalign"] +__all__ = ["coalign", "affine_params"] class affine_params(NamedTuple): From 64e07ad33a21bb8eb6416484bdc34f3b3ee2236f Mon Sep 17 00:00:00 2001 From: Jayraj Dulange Date: Wed, 7 Aug 2024 16:13:00 +0000 Subject: [PATCH 33/68] minor fix --- examples/aligning_aia_with_eis_maps.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/examples/aligning_aia_with_eis_maps.py b/examples/aligning_aia_with_eis_maps.py index ba0ae381..f5a087dc 100644 --- a/examples/aligning_aia_with_eis_maps.py +++ b/examples/aligning_aia_with_eis_maps.py @@ -25,7 +25,8 @@ # Lets find the AIA image that we want to use as a reference. # We would be using the image near the date_average of this raster. -query = Fido.search(a.Time(start=eis_map.date_start, near=eis_map.date_average, end=eis_map.date_end), a.Instrument('aia'), a.Wavelength(193*u.angstrom)) +# The following way is necessary because this eis doesn't have direct date_start, date_avg and date_end +query = Fido.search(a.Time(start=eis_map.meta["date_beg"], near=eis_map.meta["date_avg"], end=eis_map.meta["date_end"]), a.Instrument('aia'), a.Wavelength(193*u.angstrom)) aia_file = Fido.fetch(query) aia_map = sunpy.map.Map(aia_file) From b4e54de91ddb619d1eaed445b3f903a054cc5cba Mon Sep 17 00:00:00 2001 From: Deus1704 Date: Sat, 10 Aug 2024 08:10:11 +0530 Subject: [PATCH 34/68] updated the handling of cdelt values --- docs/how_to_guide/adding_a_coalignment_method.rst | 2 +- examples/aligning_aia_with_eis_maps.py | 2 +- sunkit_image/coalignment/interface.py | 4 +++- 3 files changed, 5 insertions(+), 3 deletions(-) diff --git a/docs/how_to_guide/adding_a_coalignment_method.rst b/docs/how_to_guide/adding_a_coalignment_method.rst index ad556140..87ebfb05 100644 --- a/docs/how_to_guide/adding_a_coalignment_method.rst +++ b/docs/how_to_guide/adding_a_coalignment_method.rst @@ -47,9 +47,9 @@ Handling NaNs and Infs Proper handling of these values is expected to be included in the registered methods. The :func:`~sunkit_image.coalignment.coalign` function does not change any problematic values. - Checking if the Method is Registered ==================================== + To check if your method is registered, you can check if it is present in the registered methods dictionary :func:`~sunkit_image.coalignment.decorators.registered_methods` using the following code: .. code-block:: python diff --git a/examples/aligning_aia_with_eis_maps.py b/examples/aligning_aia_with_eis_maps.py index f5a087dc..7bc0d611 100644 --- a/examples/aligning_aia_with_eis_maps.py +++ b/examples/aligning_aia_with_eis_maps.py @@ -25,7 +25,7 @@ # Lets find the AIA image that we want to use as a reference. # We would be using the image near the date_average of this raster. -# The following way is necessary because this eis doesn't have direct date_start, date_avg and date_end +# The following way is necessary because this eis doesn't have direct date_start, date_avg and date_end attributes. query = Fido.search(a.Time(start=eis_map.meta["date_beg"], near=eis_map.meta["date_avg"], end=eis_map.meta["date_end"]), a.Instrument('aia'), a.Wavelength(193*u.angstrom)) aia_file = Fido.fetch(query) aia_map = sunpy.map.Map(aia_file) diff --git a/sunkit_image/coalignment/interface.py b/sunkit_image/coalignment/interface.py index 83d6b0f5..182708d5 100644 --- a/sunkit_image/coalignment/interface.py +++ b/sunkit_image/coalignment/interface.py @@ -56,7 +56,6 @@ def update_fits_wcs_metadata(reference_map, target_map, affine_params): rotation_matrix = affine_params.rotation_matrix # Updating the PC matrix new_pc_matrix = pc_matrix @ rotation_matrix - reference_coord = reference_map.pixel_to_world(translation[0], translation[1]) Txshift = reference_coord.Tx - target_map.reference_coordinate.Tx Tyshift = reference_coord.Ty - target_map.reference_coordinate.Ty @@ -67,6 +66,9 @@ def update_fits_wcs_metadata(reference_map, target_map, affine_params): fixed_map.meta["PC1_2"] = new_pc_matrix[0, 1] fixed_map.meta["PC2_1"] = new_pc_matrix[1, 0] fixed_map.meta["PC2_2"] = new_pc_matrix[1, 1] + + fixed_map.meta['cdelt1'] = (target_map.scale[0] / scale[0, 0]).value + fixed_map.meta['cdelt2'] = (target_map.scale[1] / scale[1, 1]).value return fixed_map From 7c640245c332b53b106ee3085028488e3cb90249 Mon Sep 17 00:00:00 2001 From: Deus1704 Date: Fri, 9 Aug 2024 20:23:48 +0530 Subject: [PATCH 35/68] fixed the plot bloc --- docs/how_to_guide/using_the_coalignment_interface.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/how_to_guide/using_the_coalignment_interface.rst b/docs/how_to_guide/using_the_coalignment_interface.rst index c49feb8a..6dd2355a 100644 --- a/docs/how_to_guide/using_the_coalignment_interface.rst +++ b/docs/how_to_guide/using_the_coalignment_interface.rst @@ -10,7 +10,7 @@ Refer to the docstring of :func:`~sunkit_image.coalignment.coalign` for detailed Here is an example of how to use the :func:`~sunkit_image.coalignment.coalign` function: -.. mpl:: +.. plot:: import numpy as np from sunpy.map import Map From 6173e57c23ed15e88fa466d5f4f4fd23f4aba169 Mon Sep 17 00:00:00 2001 From: Deus1704 Date: Fri, 9 Aug 2024 20:44:01 +0530 Subject: [PATCH 36/68] marked remote test --- .../coalignment/tests/test_coalignment.py | 15 ++++++++++----- 1 file changed, 10 insertions(+), 5 deletions(-) diff --git a/sunkit_image/coalignment/tests/test_coalignment.py b/sunkit_image/coalignment/tests/test_coalignment.py index fb343400..9b194ecf 100644 --- a/sunkit_image/coalignment/tests/test_coalignment.py +++ b/sunkit_image/coalignment/tests/test_coalignment.py @@ -4,7 +4,7 @@ import astropy.units as u -from sunpy.map import Map +import sunpy.map from sunpy.net import Fido from sunpy.net import attrs as a @@ -14,27 +14,31 @@ @pytest.fixture() def is_test_map(): - return sunpy.map.Map(get_test_filepath("is_20140108_095727.fe_12_195_119.2c-0.int.fits")) + return sunpy.map.Map(get_test_filepath("eis_20140108_095727.fe_12_195_119.2c-0.int.fits")) -@pytest.fixture() + +@pytest.mark.remote_data() def aia193_test_map(): date_start = "2014-01-08T09:57:27" date_end = "2014-01-08T10:00:00" aia_map = Fido.fetch(Fido.search(a.Time(start=date_start, end=date_end), a.Instrument('aia'), a.Wavelength(193 * u.angstrom))) return sunpy.map.Map(aia_map) -@pytest.fixture() + +@pytest.mark.remote_data() def aia193_test_downsampled_map(is_test_map, aia193_test_map): nx = (aia193_test_map.scale.axis1 * aia193_test_map.dimensions.x) / is_test_map.scale.axis1 ny = (aia193_test_map.scale.axis2 * aia193_test_map.dimensions.y) / is_test_map.scale.axis2 return aia193_test_map.resample(u.Quantity([nx, ny])) -@pytest.fixture() + +@pytest.mark.remote_data() def aia193_test_shifted_map(aia193_test_map): pixel_displacements = np.array([5.0, 5.0]) shifted_data = sp_shift(aia193_test_map.data, pixel_displacements) return Map(shifted_data, aia193_test_map.meta) +@pytest.mark.remote_data() def test_coalignment(is_test_map, aia193_test_downsampled_map): coaligned_is_map = coalign(aia193_test_downsampled_map, is_test_map, "match_template") @@ -43,6 +47,7 @@ def test_coalignment(is_test_map, aia193_test_downsampled_map): assert coaligned_is_map.wcs.wcs.crval[0] == aia193_test_downsampled_map.wcs.wcs.crval[0] assert coaligned_is_map.wcs.wcs.crval[1] == aia193_test_downsampled_map.wcs.wcs.crval[1] +@pytest.mark.remote_data() def test_shifted_map_alignment(is_test_map, aia193_test_shifted_map): coaligned_is_map = coalign(aia193_test_shifted_map, is_test_map, "match_template") From 8e0508dee954d998b1e5cabe22cb065326a8022e Mon Sep 17 00:00:00 2001 From: Deus1704 Date: Fri, 9 Aug 2024 21:09:50 +0530 Subject: [PATCH 37/68] testing by including the source --- docs/how_to_guide/using_the_coalignment_interface.rst | 1 + 1 file changed, 1 insertion(+) diff --git a/docs/how_to_guide/using_the_coalignment_interface.rst b/docs/how_to_guide/using_the_coalignment_interface.rst index 6dd2355a..942f6d7c 100644 --- a/docs/how_to_guide/using_the_coalignment_interface.rst +++ b/docs/how_to_guide/using_the_coalignment_interface.rst @@ -11,6 +11,7 @@ Refer to the docstring of :func:`~sunkit_image.coalignment.coalign` for detailed Here is an example of how to use the :func:`~sunkit_image.coalignment.coalign` function: .. plot:: + :include-source: import numpy as np from sunpy.map import Map From d02b986053f0a24d6a01838d9ab549bcfb883914 Mon Sep 17 00:00:00 2001 From: Deus1704 Date: Fri, 9 Aug 2024 21:20:47 +0530 Subject: [PATCH 38/68] fixed the rst --- docs/how_to_guide/using_the_coalignment_interface.rst | 1 + 1 file changed, 1 insertion(+) diff --git a/docs/how_to_guide/using_the_coalignment_interface.rst b/docs/how_to_guide/using_the_coalignment_interface.rst index 942f6d7c..e6e2705b 100644 --- a/docs/how_to_guide/using_the_coalignment_interface.rst +++ b/docs/how_to_guide/using_the_coalignment_interface.rst @@ -12,6 +12,7 @@ Here is an example of how to use the :func:`~sunkit_image.coalignment.coalign` f .. plot:: :include-source: + :context: close-figs import numpy as np from sunpy.map import Map From 9ceadbcdd8158a8de6b6d00fdd0f9c4e190e01b8 Mon Sep 17 00:00:00 2001 From: Jayraj Dulange Date: Wed, 14 Aug 2024 08:08:55 +0000 Subject: [PATCH 39/68] added the figure test case1/2 and clean up --- examples/aligning_aia_with_eis_maps.py | 2 +- sunkit_image/coalignment/interface.py | 23 +++--- sunkit_image/coalignment/match_template.py | 2 +- sunkit_image/coalignment/tests/conftest.py | 47 ------------ .../coalignment/tests/test_coalignment.py | 76 ++++++++++++++++--- ..._mpl_390_ft_261_sunpy_600_astropy_610.json | 3 +- 6 files changed, 80 insertions(+), 73 deletions(-) delete mode 100644 sunkit_image/coalignment/tests/conftest.py diff --git a/examples/aligning_aia_with_eis_maps.py b/examples/aligning_aia_with_eis_maps.py index 7bc0d611..c6a00ed1 100644 --- a/examples/aligning_aia_with_eis_maps.py +++ b/examples/aligning_aia_with_eis_maps.py @@ -64,7 +64,7 @@ # Plot after coalignment ax = fig.add_subplot(122, projection=coaligned_eis_map) -coaligned_eis_map.plot(axes=ax, title='After', aspect=eis_map.meta['cdelt2'] / eis_map.meta['cdelt1'], +coaligned_eis_map.plot(axes=ax, title='After', aspect=coaligned_eis_map.meta['cdelt2'] / coaligned_eis_map.meta['cdelt1'], cmap='Blues_r', norm=ImageNormalize(stretch=AsinhStretch())) aia_map.draw_contours(levels, axes=ax, alpha=0.3) diff --git a/sunkit_image/coalignment/interface.py b/sunkit_image/coalignment/interface.py index 182708d5..688fbe38 100644 --- a/sunkit_image/coalignment/interface.py +++ b/sunkit_image/coalignment/interface.py @@ -15,16 +15,15 @@ class affine_params(NamedTuple): """ - A 2x2 scale matrix defining the image scaling along the x and y axes. + A 2-element tuple containing scale values defining the image scaling along the x and y axes. """ - scale: tuple[tuple[float, float], tuple[float, float]] + scale: tuple[float, float] """ A 2x2 matrix defining the rotation transformation of the image. """ rotation_matrix: tuple[tuple[float, float], tuple[float, float]] """ - A 2-element tuple stores the translation of the image along the x and y - axes in pixels. + A 2-element tuple stores the translation of the image along the x and y axes in pixels. """ translation: tuple[float, float] @@ -49,14 +48,16 @@ def update_fits_wcs_metadata(reference_map, target_map, affine_params): `sunpy.map.Map` A new sunpy map object with updated metadata reflecting the affine transformation. """ - pc_matrix = target_map.rotation_matrix # Extacting the affine parameters + pc_matrix = target_map.rotation_matrix translation = affine_params.translation scale = affine_params.scale rotation_matrix = affine_params.rotation_matrix # Updating the PC matrix new_pc_matrix = pc_matrix @ rotation_matrix - reference_coord = reference_map.pixel_to_world(translation[0], translation[1]) + # Calculate the new reference pixel. Currently this only accounts the translation, but in future it should also account for rotation and scaling(affine transformation) + new_reference_pixel = np.array([translation[0].value + target_map.reference_pixel.x.value, translation[1].value +target_map.reference_pixel.y.value]) + reference_coord = reference_map.wcs.pixel_to_world(new_reference_pixel[0],new_reference_pixel[1]) Txshift = reference_coord.Tx - target_map.reference_coordinate.Tx Tyshift = reference_coord.Ty - target_map.reference_coordinate.Ty # Create a new map with the updated metadata @@ -66,9 +67,9 @@ def update_fits_wcs_metadata(reference_map, target_map, affine_params): fixed_map.meta["PC1_2"] = new_pc_matrix[0, 1] fixed_map.meta["PC2_1"] = new_pc_matrix[1, 0] fixed_map.meta["PC2_2"] = new_pc_matrix[1, 1] - - fixed_map.meta['cdelt1'] = (target_map.scale[0] / scale[0, 0]).value - fixed_map.meta['cdelt2'] = (target_map.scale[1] / scale[1, 1]).value + + fixed_map.meta['cdelt1'] = (target_map.scale[0] / scale[0]).value + fixed_map.meta['cdelt2'] = (target_map.scale[1] / scale[1]).value return fixed_map @@ -111,9 +112,9 @@ def warn_user_of_separation(reference_map,target_map): ) -def coalign(reference_map, target_map, method): +def coalign(reference_map, target_map, method='match_template'): """ - Performs image coalignment using a specified method. It updates the + Performs image coalignment using a specified method (defaults to `match_template`). It updates the metadata of the target map so as to align it with the reference map. Parameters diff --git a/sunkit_image/coalignment/match_template.py b/sunkit_image/coalignment/match_template.py index ed19ccf4..295c2a58 100644 --- a/sunkit_image/coalignment/match_template.py +++ b/sunkit_image/coalignment/match_template.py @@ -116,6 +116,6 @@ def match_template_coalign(reference_array, target_array): # Find the best match location y_shift, x_shift = _find_best_match_location(corr) # Particularly for this method, there is no change in the rotation or scaling, hence the hardcoded values of scale to 1.0 & rotation to identity matrix - scale = np.array([[1.0, 0], [0, 1.0]]) + scale = np.array([1.0, 1.0]) rotation_matrix = np.eye(2) return affine_params(scale=scale, rotation_matrix=rotation_matrix, translation=(x_shift * u.pixel, y_shift * u.pixel)) diff --git a/sunkit_image/coalignment/tests/conftest.py b/sunkit_image/coalignment/tests/conftest.py deleted file mode 100644 index 33bd871c..00000000 --- a/sunkit_image/coalignment/tests/conftest.py +++ /dev/null @@ -1,47 +0,0 @@ -from pathlib import Path - -import numpy as np -import pytest - -import sunpy.data.test - - -@pytest.fixture() -def aia171_test_clipping(): - return np.asarray([0.2, -0.3, -1.0001]) - - -@pytest.fixture() -def aia171_test_map(): - testpath = sunpy.data.test.rootdir - return sunpy.map.Map(Path(testpath) / "aia_171_level1.fits") - - -@pytest.fixture() -def aia171_test_shift(): - return np.array([3, 5]) - - -@pytest.fixture() -def aia171_test_map_layer(aia171_test_map): - return aia171_test_map.data.astype("float32") # SciPy 1.4 requires at least 16-bit floats - - -@pytest.fixture() -def aia171_test_map_layer_shape(aia171_test_map_layer): - return aia171_test_map_layer.shape - - -@pytest.fixture() -def aia171_test_template(aia171_test_shift, aia171_test_map_layer, aia171_test_map_layer_shape): - # Test template - a1 = aia171_test_shift[0] + aia171_test_map_layer_shape[0] // 4 - a2 = aia171_test_shift[0] + 3 * aia171_test_map_layer_shape[0] // 4 - b1 = aia171_test_shift[1] + aia171_test_map_layer_shape[1] // 4 - b2 = aia171_test_shift[1] + 3 * aia171_test_map_layer_shape[1] // 4 - return aia171_test_map_layer[a1:a2, b1:b2] - - -@pytest.fixture() -def aia171_test_template_shape(aia171_test_template): - return aia171_test_template.shape diff --git a/sunkit_image/coalignment/tests/test_coalignment.py b/sunkit_image/coalignment/tests/test_coalignment.py index 9b194ecf..2abaaa4f 100644 --- a/sunkit_image/coalignment/tests/test_coalignment.py +++ b/sunkit_image/coalignment/tests/test_coalignment.py @@ -1,15 +1,20 @@ +import copy import numpy as np +from numpy.testing import assert_allclose +import matplotlib.pyplot as plt import pytest from scipy.ndimage import shift as sp_shift import astropy.units as u +from astropy.coordinates import SkyCoord +from astropy.visualization import ImageNormalize, AsinhStretch import sunpy.map -from sunpy.net import Fido -from sunpy.net import attrs as a +from sunpy.net import Fido, attrs as a from sunkit_image.coalignment import coalign from sunkit_image.data.test import get_test_filepath +from sunkit_image.tests.helpers import figure_test @pytest.fixture() @@ -36,22 +41,69 @@ def aia193_test_downsampled_map(is_test_map, aia193_test_map): def aia193_test_shifted_map(aia193_test_map): pixel_displacements = np.array([5.0, 5.0]) shifted_data = sp_shift(aia193_test_map.data, pixel_displacements) - return Map(shifted_data, aia193_test_map.meta) + return sunpy.map.Map(shifted_data, aia193_test_map.meta) + @pytest.mark.remote_data() def test_coalignment(is_test_map, aia193_test_downsampled_map): coaligned_is_map = coalign(aia193_test_downsampled_map, is_test_map, "match_template") - - # Assertions to ensure the maps are aligned assert coaligned_is_map.data.shape == is_test_map.data.shape assert coaligned_is_map.wcs.wcs.crval[0] == aia193_test_downsampled_map.wcs.wcs.crval[0] assert coaligned_is_map.wcs.wcs.crval[1] == aia193_test_downsampled_map.wcs.wcs.crval[1] -@pytest.mark.remote_data() -def test_shifted_map_alignment(is_test_map, aia193_test_shifted_map): - coaligned_is_map = coalign(aia193_test_shifted_map, is_test_map, "match_template") - # Ensure the alignment is corrected by comparing with the unshifted map - assert coaligned_is_map.data.shape == is_test_map.data.shape - assert coaligned_is_map.wcs.wcs.crval[0] == aia193_test_shifted_map.wcs.wcs.crval[0] - assert coaligned_is_map.wcs.wcs.crval[1] == aia193_test_shifted_map.wcs.wcs.crval[1] +@pytest.fixture() +def cutout_map(aia171_test_map): + aia_map = sunpy.map.Map(aia171_test_map) + bottom_left = SkyCoord(300 * u.arcsec, -300 * u.arcsec, frame = aia_map.coordinate_frame) + top_right = SkyCoord(800 * u.arcsec, 200 * u.arcsec, frame = aia_map.coordinate_frame) + cutout_map = aia_map.submap(bottom_left, top_right=top_right) + return cutout_map + + +def test_coalignment_reflects_pixel_shifts(cutout_map, aia171_test_map): + """Check if coalignment adjusts world coordinates as expected based on pixel shifts.""" + dx_pix, dy_pix = 10, 10 # Considering the pixel shifts are small enough to not cause any distortion + messed_map = copy.deepcopy(cutout_map) + messed_map.meta['crpix1'] += dx_pix + messed_map.meta['crpix2'] += dy_pix + + original_world_coords = cutout_map.reference_coordinate + shifted_world_coords = cutout_map.wcs.pixel_to_world( + cutout_map.reference_pixel.x.value + dx_pix, + cutout_map.reference_pixel.y.value + dy_pix + ) + expected_shift_Tx = shifted_world_coords.Tx - original_world_coords.Tx + expected_shift_Ty = shifted_world_coords.Ty - original_world_coords.Ty + # Fix the messed map + fixed_cutout_map = coalign(aia171_test_map, messed_map) + + fixed_world_coords = fixed_cutout_map.reference_coordinate + actual_shift_Tx = fixed_world_coords.Tx - original_world_coords.Tx + actual_shift_Ty = fixed_world_coords.Ty - original_world_coords.Ty + # The shifts should be equal to the expected shifts + assert_allclose(actual_shift_Tx, expected_shift_Tx, rtol=1e-2, atol=0) + assert_allclose(actual_shift_Ty, expected_shift_Ty, rtol=1e-2, atol=0) + + assert not np.allclose(original_world_coords.Tx, fixed_world_coords.Tx) + assert not np.allclose(original_world_coords.Ty, fixed_world_coords.Ty) + + +@figure_test +def test_coalignment_figure(cutout_map, aia171_test_map): + levels = [200, 400, 500, 700, 800] * cutout_map.unit + messed_map = copy.deepcopy(cutout_map) + messed_map.meta['crpix1'] += 10 + messed_map.meta['crpix2'] += 10 + fixed_cutout_map = coalign(aia171_test_map, messed_map) + fig = plt.figure(figsize=(15, 7.5)) + # Before coalignment + ax1 = fig.add_subplot(121, projection=cutout_map) + cutout_map.plot(axes=ax1, title='Original Cutout', cmap='Blues_r', norm=ImageNormalize(stretch=AsinhStretch())) + cutout_map.draw_contours(levels, axes=ax1, alpha=0.3) + # After coalignment + ax2 = fig.add_subplot(122, projection=fixed_cutout_map) + fixed_cutout_map.plot(axes=ax2, title='Fixed Cutout', cmap='Blues_r', norm=ImageNormalize(stretch=AsinhStretch())) + fixed_cutout_map.draw_contours(levels, axes=ax2, alpha=0.3) + fig.tight_layout() + return fig \ No newline at end of file diff --git a/sunkit_image/tests/figure_hashes_mpl_390_ft_261_sunpy_600_astropy_610.json b/sunkit_image/tests/figure_hashes_mpl_390_ft_261_sunpy_600_astropy_610.json index fab4d7ea..9e04cb0a 100644 --- a/sunkit_image/tests/figure_hashes_mpl_390_ft_261_sunpy_600_astropy_610.json +++ b/sunkit_image/tests/figure_hashes_mpl_390_ft_261_sunpy_600_astropy_610.json @@ -9,5 +9,6 @@ "sunkit_image.tests.test_radial.test_multifig_rhef": "ac41a919a6a67fc47d34d9512d1177ff0fc7ef43bef0296d1751020b6ed5f2f0", "sunkit_image.tests.test_stara.test_stara_plot": "88a1fafc42b22264a68a9b633bfa3bbe22ce3e89cbf8db15920a9d28b62e49f6", "sunkit_image.tests.test_trace.test_occult2_fig[array]": "e59f4c476b6b27788ab8dc397cb0d2f34f8d6032eced289fd2eabeb324b39558", - "sunkit_image.tests.test_trace.test_occult2_fig[map]": "e59f4c476b6b27788ab8dc397cb0d2f34f8d6032eced289fd2eabeb324b39558" + "sunkit_image.tests.test_trace.test_occult2_fig[map]": "e59f4c476b6b27788ab8dc397cb0d2f34f8d6032eced289fd2eabeb324b39558", + "sunkit_image.coalignmnet.tests.test_coalignment.test_coalignment_figure": "f7a8e5a7377422c652a47217981d1c3bd1a66b5c211eae6ef18e4cef2660e438" } From a0e5c6eea56b8a7c09041c1cb0123b2b9025b435 Mon Sep 17 00:00:00 2001 From: Jayraj Dulange Date: Wed, 14 Aug 2024 10:02:39 +0000 Subject: [PATCH 40/68] fixed the warning list --- pytest.ini | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pytest.ini b/pytest.ini index f50195c8..d96d1051 100644 --- a/pytest.ini +++ b/pytest.ini @@ -55,7 +55,7 @@ filterwarnings = ignore:Please use `gaussian_filter` from the `scipy.ndimage` namespace:DeprecationWarning ignore:Please use `laplace` from the `scipy.ndimage` namespace:DeprecationWarning ignore:.*Deprecated NumPy 1.24.*:DeprecationWarning - ignore:'cgi' deprecated and slated for removal in Python 3.13:DeprecationWarning + ignore:'cgi' is deprecated and slated for removal in Python 3.13:DeprecationWarning # astropy/utils/iers/iers.py:1115: in auto_open good_enough = cls._today() + TimeDelta(offset, format="jd") ignore:datetime.datetime.utc:DeprecationWarning ignore:leap-second file is expired:astropy.utils.iers.iers.IERSStaleWarning From 40713b70377fb62298063c81343b9bafce9d61b9 Mon Sep 17 00:00:00 2001 From: Jayraj Dulange Date: Wed, 14 Aug 2024 10:37:47 +0000 Subject: [PATCH 41/68] fix refs and clean --- docs/how_to_guide/adding_a_coalignment_method.rst | 2 +- .../using_the_coalignment_interface.rst | 2 +- examples/aligning_aia_with_eis_maps.py | 2 +- sunkit_image/coalignment/interface.py | 14 +++++++------- 4 files changed, 10 insertions(+), 10 deletions(-) diff --git a/docs/how_to_guide/adding_a_coalignment_method.rst b/docs/how_to_guide/adding_a_coalignment_method.rst index 87ebfb05..1e06bbbc 100644 --- a/docs/how_to_guide/adding_a_coalignment_method.rst +++ b/docs/how_to_guide/adding_a_coalignment_method.rst @@ -8,7 +8,7 @@ If you want to register a new coalignment method that can be used by :func:`~sun .. code-block:: python - from sunkit_image.utils.decorators import register_coalignment_method + from sunkit_image.coalignment.decorators import register_coalignment_method @register_coalignment_method("my_coalign") def my_coalignment_method(input_array, template_array): diff --git a/docs/how_to_guide/using_the_coalignment_interface.rst b/docs/how_to_guide/using_the_coalignment_interface.rst index e6e2705b..7e8cb9c2 100644 --- a/docs/how_to_guide/using_the_coalignment_interface.rst +++ b/docs/how_to_guide/using_the_coalignment_interface.rst @@ -45,4 +45,4 @@ Here is an example of how to use the :func:`~sunkit_image.coalignment.coalign` f plt.show() -There is another example :ref:`sphx_glr_generated_gallery_adding_a_coalignment_method.py` focused on aligning an EIS raster with an AIA image. +There is another example :ref:`sphx_glr_generated_gallery_aligning_aia_with_eis_maps.py` focused on aligning an EIS raster with an AIA image. diff --git a/examples/aligning_aia_with_eis_maps.py b/examples/aligning_aia_with_eis_maps.py index c6a00ed1..25eef254 100644 --- a/examples/aligning_aia_with_eis_maps.py +++ b/examples/aligning_aia_with_eis_maps.py @@ -43,7 +43,7 @@ # Now we can coalign EIS to AIA using a cross-correlation. # For this we would be using the "match_template" method. # For details of the implementation refer to the -# documentation of `~sunkit_image.coalignment.match_template`. +# documentation of `~sunkit_image.coalignment.match_template.match_template_coalign`. coaligned_eis_map = coalign(aia_downsampled, eis_map, "match_template") diff --git a/sunkit_image/coalignment/interface.py b/sunkit_image/coalignment/interface.py index 688fbe38..7f45754e 100644 --- a/sunkit_image/coalignment/interface.py +++ b/sunkit_image/coalignment/interface.py @@ -81,9 +81,9 @@ def warn_user_of_separation(reference_map,target_map): Parameters ---------- - reference_map : sunpy.map.Map + reference_map : `sunpy.map.Map` The reference map to which the target map is to be coaligned. - target_map : sunpy.map.Map + target_map : `sunpy.map.Map` The target map to be coaligned to the reference map. """ ref_coord = SkyCoord(reference_map.observer_coordinate) @@ -114,21 +114,21 @@ def warn_user_of_separation(reference_map,target_map): def coalign(reference_map, target_map, method='match_template'): """ - Performs image coalignment using a specified method (defaults to `match_template`). It updates the + Performs image coalignment using a specified method (defaults to `~sunkit_image.coalignment.match_template`). It updates the metadata of the target map so as to align it with the reference map. Parameters ---------- - reference_map : sunpy.map.Map + reference_map : `sunpy.map.Map` The reference map to which the target map is to be coaligned. - target_map : sunpy.map.Map + target_map : `sunpy.map.Map` The target map to be coaligned to the reference map. - method : str + method : `str` The name of the registered coalignment method to use. Returns ------- - sunpy.map.Map + `sunpy.map.Map` The coaligned target map with the updated metadata. Raises From 17998beb19f1126a1fb3154d0748d9ca8f27414a Mon Sep 17 00:00:00 2001 From: Jayraj Dulange Date: Wed, 14 Aug 2024 11:32:28 +0000 Subject: [PATCH 42/68] adding fixture --- sunkit_image/coalignment/interface.py | 2 +- sunkit_image/coalignment/tests/test_coalignment.py | 1 + 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/sunkit_image/coalignment/interface.py b/sunkit_image/coalignment/interface.py index 7f45754e..a2ac157a 100644 --- a/sunkit_image/coalignment/interface.py +++ b/sunkit_image/coalignment/interface.py @@ -114,7 +114,7 @@ def warn_user_of_separation(reference_map,target_map): def coalign(reference_map, target_map, method='match_template'): """ - Performs image coalignment using a specified method (defaults to `~sunkit_image.coalignment.match_template`). It updates the + Performs image coalignment using a specified method (defaults to `~sunkit_image.coalignment.match_template.match_template_coalign`). It updates the metadata of the target map so as to align it with the reference map. Parameters diff --git a/sunkit_image/coalignment/tests/test_coalignment.py b/sunkit_image/coalignment/tests/test_coalignment.py index 2abaaa4f..6144bc76 100644 --- a/sunkit_image/coalignment/tests/test_coalignment.py +++ b/sunkit_image/coalignment/tests/test_coalignment.py @@ -31,6 +31,7 @@ def aia193_test_map(): @pytest.mark.remote_data() +@pytest.fixture() def aia193_test_downsampled_map(is_test_map, aia193_test_map): nx = (aia193_test_map.scale.axis1 * aia193_test_map.dimensions.x) / is_test_map.scale.axis1 ny = (aia193_test_map.scale.axis2 * aia193_test_map.dimensions.y) / is_test_map.scale.axis2 From 6255c1793188d34e92dd0f786596cc7cc88cf908 Mon Sep 17 00:00:00 2001 From: Jayraj Dulange Date: Wed, 14 Aug 2024 15:23:39 +0000 Subject: [PATCH 43/68] trying to suppress warnings --- .../coalignment/tests/test_coalignment.py | 32 +++++-------------- 1 file changed, 8 insertions(+), 24 deletions(-) diff --git a/sunkit_image/coalignment/tests/test_coalignment.py b/sunkit_image/coalignment/tests/test_coalignment.py index 6144bc76..8de84962 100644 --- a/sunkit_image/coalignment/tests/test_coalignment.py +++ b/sunkit_image/coalignment/tests/test_coalignment.py @@ -23,30 +23,14 @@ def is_test_map(): @pytest.mark.remote_data() -def aia193_test_map(): - date_start = "2014-01-08T09:57:27" - date_end = "2014-01-08T10:00:00" - aia_map = Fido.fetch(Fido.search(a.Time(start=date_start, end=date_end), a.Instrument('aia'), a.Wavelength(193 * u.angstrom))) - return sunpy.map.Map(aia_map) - - -@pytest.mark.remote_data() -@pytest.fixture() -def aia193_test_downsampled_map(is_test_map, aia193_test_map): - nx = (aia193_test_map.scale.axis1 * aia193_test_map.dimensions.x) / is_test_map.scale.axis1 - ny = (aia193_test_map.scale.axis2 * aia193_test_map.dimensions.y) / is_test_map.scale.axis2 - return aia193_test_map.resample(u.Quantity([nx, ny])) - - -@pytest.mark.remote_data() -def aia193_test_shifted_map(aia193_test_map): - pixel_displacements = np.array([5.0, 5.0]) - shifted_data = sp_shift(aia193_test_map.data, pixel_displacements) - return sunpy.map.Map(shifted_data, aia193_test_map.meta) - - -@pytest.mark.remote_data() -def test_coalignment(is_test_map, aia193_test_downsampled_map): +def test_coalignment(is_test_map): + aia193_test_map = sunpy.map.Map(Fido.fetch(Fido.search(a.Time(start=is_test_map.meta["date_beg"], near=is_test_map.meta["date_avg"], end=is_test_map.meta["date_end"]), a.Instrument('aia'), a.Wavelength(193*u.angstrom)))) + # Synchronize obstime and rsun to reduce transformation issues + aia193_test_map.meta['rsun_obs'] = is_test_map.meta['dsun_obs']/2 + aia193_test_map.meta['date-obs'] = is_test_map.meta['date-obs'] + nx = (aia193_test_map.scale.axis1 * aia193_test_map.dimensions.x) / is_test_map.scale[0] + ny = (aia193_test_map.scale.axis2 * aia193_test_map.dimensions.y) / is_test_map.scale[1] + aia193_test_downsampled_map = aia193_test_map.resample(u.Quantity([nx, ny])) coaligned_is_map = coalign(aia193_test_downsampled_map, is_test_map, "match_template") assert coaligned_is_map.data.shape == is_test_map.data.shape assert coaligned_is_map.wcs.wcs.crval[0] == aia193_test_downsampled_map.wcs.wcs.crval[0] From df21cd6ccedb45cc146b5d2f36bf3f700c0cbce0 Mon Sep 17 00:00:00 2001 From: Deus1704 Date: Sun, 18 Aug 2024 23:23:24 +0530 Subject: [PATCH 44/68] major changes; confirm affine, fixed test case, removed a guide --- .../adding_a_coalignment_method.rst | 4 +- docs/how_to_guide/index.rst | 1 - .../using_the_coalignment_interface.rst | 48 ------------------- examples/aligning_aia_with_eis_maps.py | 2 +- sunkit_image/coalignment/__init__.py | 3 +- sunkit_image/coalignment/interface.py | 25 +++++----- sunkit_image/coalignment/match_template.py | 8 ++-- .../coalignment/tests/test_coalignment.py | 47 +++++++----------- 8 files changed, 37 insertions(+), 101 deletions(-) delete mode 100644 docs/how_to_guide/using_the_coalignment_interface.rst diff --git a/docs/how_to_guide/adding_a_coalignment_method.rst b/docs/how_to_guide/adding_a_coalignment_method.rst index 1e06bbbc..c55e312a 100644 --- a/docs/how_to_guide/adding_a_coalignment_method.rst +++ b/docs/how_to_guide/adding_a_coalignment_method.rst @@ -16,7 +16,7 @@ If you want to register a new coalignment method that can be used by :func:`~sun # This should encompass calculating the shifts, # handling NaN values appropriately. # Return the shifts in an affine style, such as the scale, rotation and translation. - return affine_params(scale, rotation, translation) + return AffineParams(scale, rotation, translation) Decorator Parameters ==================== @@ -39,7 +39,7 @@ Your coalignment function should: 3. **Determine Affine Parameters**: Decide the values of the affine parameters - translation, scale and rotation. -4. **Return**: Use the ``affine_params`` named tuple included or provide your own that exposes the three parameters as attributes. +4. **Return**: Use the ``AffineParams`` named tuple included or provide your own that exposes the three parameters as attributes. Handling NaNs and Infs ====================== diff --git a/docs/how_to_guide/index.rst b/docs/how_to_guide/index.rst index ab096a6f..a9ff69b6 100644 --- a/docs/how_to_guide/index.rst +++ b/docs/how_to_guide/index.rst @@ -7,5 +7,4 @@ How To Guide .. toctree:: :maxdepth: 1 - using_the_coalignment_interface adding_a_coalignment_method diff --git a/docs/how_to_guide/using_the_coalignment_interface.rst b/docs/how_to_guide/using_the_coalignment_interface.rst deleted file mode 100644 index 7e8cb9c2..00000000 --- a/docs/how_to_guide/using_the_coalignment_interface.rst +++ /dev/null @@ -1,48 +0,0 @@ -.. _sunkit-image-how-to-guide-using-the-coalignment-interface: - -******************************* -Using the Coalignment Interface -******************************* - -This guide explains how to use the coalignment interface to improve the alignment of solar images. -The :func:`~sunkit_image.coalignment.coalign` function facilitates image coalignment using a range of registered methods. -Refer to the docstring of :func:`~sunkit_image.coalignment.coalign` for detailed information on the parameters, return values, and exceptions. - -Here is an example of how to use the :func:`~sunkit_image.coalignment.coalign` function: - -.. plot:: - :include-source: - :context: close-figs - - import numpy as np - from sunpy.map import Map - from sunkit_image.coalignment import coalign - import sunpy.data.sample - import matplotlib.pyplot as plt - # Load the AIA images - reference_map = Map(sunpy.data.sample.AIA_193_IMAGE) - target_map = Map(sunpy.data.sample.AIA_193_CUTOUT03_IMAGE) - ## Should match the platescale before coalignment so as to maintain correctness; - nx= (reference_map.scale.axis1 * reference_map.dimensions.x )/target_map.scale.axis1 - ny= (reference_map.scale.axis2 * reference_map.dimensions.y )/target_map.scale.axis2 - aia_193_downsampled_map = reference_map.resample(u.Quantity([nx,ny])) - # Coalign the target map to the reference map - coaligned_map = coalign(aia_193_downsampled_map, target_map, method="match_template") - # Define contour levels - levels = np.linspace(200, 1200, 5) * target_map.unit - # Plotting - fig = plt.figure(figsize=(15, 7.5)) - ax = fig.add_subplot(121, projection=target_map) - target_map.plot(axes=ax, title='Before coalignment') - bounds = ax.axis() - aia_193_downsampled_map.draw_contours(levels, axes=ax, cmap='viridis', alpha=0.7) - ax.axis(bounds) - ax = fig.add_subplot(122, projection=coaligned_map) - coaligned_map.plot(axes=ax, title='After coalignment') - bounds = ax.axis() - aia_193_downsampled_map.draw_contours(levels, axes=ax, cmap='viridis', alpha=0.7) - ax.axis(bounds) - - plt.show() - -There is another example :ref:`sphx_glr_generated_gallery_aligning_aia_with_eis_maps.py` focused on aligning an EIS raster with an AIA image. diff --git a/examples/aligning_aia_with_eis_maps.py b/examples/aligning_aia_with_eis_maps.py index 25eef254..1e5c03e3 100644 --- a/examples/aligning_aia_with_eis_maps.py +++ b/examples/aligning_aia_with_eis_maps.py @@ -45,7 +45,7 @@ # For details of the implementation refer to the # documentation of `~sunkit_image.coalignment.match_template.match_template_coalign`. -coaligned_eis_map = coalign(aia_downsampled, eis_map, "match_template") +coaligned_eis_map = coalign(aia_downsampled, eis_map) #################################################################################### # To check now effective this has been, we will plot the EIS data and diff --git a/sunkit_image/coalignment/__init__.py b/sunkit_image/coalignment/__init__.py index 0de33bad..c0a9c922 100644 --- a/sunkit_image/coalignment/__init__.py +++ b/sunkit_image/coalignment/__init__.py @@ -1,5 +1,4 @@ -from sunkit_image.coalignment.decorators import register_coalignment_method, registered_methods -from sunkit_image.coalignment.interface import affine_params, coalign +from sunkit_image.coalignment.interface import coalign from sunkit_image.coalignment.match_template import match_template_coalign as _ __all__ = ["coalign"] diff --git a/sunkit_image/coalignment/interface.py b/sunkit_image/coalignment/interface.py index a2ac157a..7d23afb2 100644 --- a/sunkit_image/coalignment/interface.py +++ b/sunkit_image/coalignment/interface.py @@ -10,10 +10,10 @@ from sunkit_image.coalignment.decorators import registered_methods -__all__ = ["coalign", "affine_params"] +__all__ = ["coalign", "AffineParams"] -class affine_params(NamedTuple): +class AffineParams(NamedTuple): """ A 2-element tuple containing scale values defining the image scaling along the x and y axes. """ @@ -23,12 +23,12 @@ class affine_params(NamedTuple): """ rotation_matrix: tuple[tuple[float, float], tuple[float, float]] """ - A 2-element tuple stores the translation of the image along the x and y axes in pixels. + A 2-element tuple stores the translation of the image along the x and y axes. """ translation: tuple[float, float] -def update_fits_wcs_metadata(reference_map, target_map, affine_params): +def update_fits_wcs_metadata(reference_map, target_map, AffineParams): """ Update the metadata of a sunpy Map object based on affine transformation parameters. @@ -39,7 +39,7 @@ def update_fits_wcs_metadata(reference_map, target_map, affine_params): The reference map object to which the target map is to be coaligned. target_map : `sunpy.map.Map` The original map object whose metadata is to be updated. - affine_params : object + AffineParams : object An object containing the affine transformation parameters. This object must have attributes for translation (dx, dy), scale, and rotation. @@ -50,13 +50,14 @@ def update_fits_wcs_metadata(reference_map, target_map, affine_params): """ # Extacting the affine parameters pc_matrix = target_map.rotation_matrix - translation = affine_params.translation - scale = affine_params.scale - rotation_matrix = affine_params.rotation_matrix + translation = AffineParams.translation + scale = AffineParams.scale + rotation_matrix = AffineParams.rotation_matrix # Updating the PC matrix new_pc_matrix = pc_matrix @ rotation_matrix - # Calculate the new reference pixel. Currently this only accounts the translation, but in future it should also account for rotation and scaling(affine transformation) - new_reference_pixel = np.array([translation[0].value + target_map.reference_pixel.x.value, translation[1].value +target_map.reference_pixel.y.value]) + # Calculate the new reference pixel. + old_reference_pixel = np.array([target_map.reference_pixel.x.value, target_map.reference_pixel.y.value]) + new_reference_pixel = scale*rotation_matrix @ old_reference_pixel + translation reference_coord = reference_map.wcs.pixel_to_world(new_reference_pixel[0],new_reference_pixel[1]) Txshift = reference_coord.Tx - target_map.reference_coordinate.Tx Tyshift = reference_coord.Ty - target_map.reference_coordinate.Ty @@ -145,5 +146,5 @@ def coalign(reference_map, target_map, method='match_template'): warn_user_of_separation(reference_map, target_map) - affine_params = registered_methods[method](reference_array, target_array) - return update_fits_wcs_metadata(reference_map, target_map, affine_params) + AffineParams = registered_methods[method](reference_array, target_array) + return update_fits_wcs_metadata(reference_map, target_map, AffineParams) diff --git a/sunkit_image/coalignment/match_template.py b/sunkit_image/coalignment/match_template.py index 295c2a58..c17f3a26 100644 --- a/sunkit_image/coalignment/match_template.py +++ b/sunkit_image/coalignment/match_template.py @@ -4,7 +4,7 @@ import astropy.units as u from sunkit_image.coalignment.decorators import register_coalignment_method -from sunkit_image.coalignment.interface import affine_params +from sunkit_image.coalignment.interface import AffineParams __all__ = ["match_template_coalign"] @@ -103,14 +103,14 @@ def match_template_coalign(reference_array, target_array): Returns ------- - affine_params + AffineParams A named tuple containing the following affine transformation parameters: - scale: list A list of tuples representing the scale transformation as an identity matrix. - rotation: float The rotation angle in radians, which is fixed at 0.0 in this function. - translation: tuple - A tuple containing the x and y translation values in pixels. + A tuple containing the x and y translation values. """ corr = match_template(np.float64(reference_array), np.float64(target_array)) # Find the best match location @@ -118,4 +118,4 @@ def match_template_coalign(reference_array, target_array): # Particularly for this method, there is no change in the rotation or scaling, hence the hardcoded values of scale to 1.0 & rotation to identity matrix scale = np.array([1.0, 1.0]) rotation_matrix = np.eye(2) - return affine_params(scale=scale, rotation_matrix=rotation_matrix, translation=(x_shift * u.pixel, y_shift * u.pixel)) + return AffineParams(scale=scale, rotation_matrix=rotation_matrix, translation=(x_shift , y_shift )) diff --git a/sunkit_image/coalignment/tests/test_coalignment.py b/sunkit_image/coalignment/tests/test_coalignment.py index 8de84962..499ddf8b 100644 --- a/sunkit_image/coalignment/tests/test_coalignment.py +++ b/sunkit_image/coalignment/tests/test_coalignment.py @@ -7,7 +7,6 @@ import astropy.units as u from astropy.coordinates import SkyCoord -from astropy.visualization import ImageNormalize, AsinhStretch import sunpy.map from sunpy.net import Fido, attrs as a @@ -47,48 +46,34 @@ def cutout_map(aia171_test_map): def test_coalignment_reflects_pixel_shifts(cutout_map, aia171_test_map): - """Check if coalignment adjusts world coordinates as expected based on pixel shifts.""" - dx_pix, dy_pix = 10, 10 # Considering the pixel shifts are small enough to not cause any distortion - messed_map = copy.deepcopy(cutout_map) - messed_map.meta['crpix1'] += dx_pix - messed_map.meta['crpix2'] += dy_pix - + """Check if coalignment adjusts world coordinates as expected based on reference coordinate shifts.""" + messed_map = cutout_map.shift_reference_coord(25 * u.arcsec, 50 * u.arcsec) original_world_coords = cutout_map.reference_coordinate - shifted_world_coords = cutout_map.wcs.pixel_to_world( - cutout_map.reference_pixel.x.value + dx_pix, - cutout_map.reference_pixel.y.value + dy_pix - ) - expected_shift_Tx = shifted_world_coords.Tx - original_world_coords.Tx - expected_shift_Ty = shifted_world_coords.Ty - original_world_coords.Ty - # Fix the messed map + # shifted_world_coords = messed_map.reference_coordinate fixed_cutout_map = coalign(aia171_test_map, messed_map) - fixed_world_coords = fixed_cutout_map.reference_coordinate - actual_shift_Tx = fixed_world_coords.Tx - original_world_coords.Tx - actual_shift_Ty = fixed_world_coords.Ty - original_world_coords.Ty - # The shifts should be equal to the expected shifts - assert_allclose(actual_shift_Tx, expected_shift_Tx, rtol=1e-2, atol=0) - assert_allclose(actual_shift_Ty, expected_shift_Ty, rtol=1e-2, atol=0) - - assert not np.allclose(original_world_coords.Tx, fixed_world_coords.Tx) - assert not np.allclose(original_world_coords.Ty, fixed_world_coords.Ty) + # The actual shifts applied by coalignment should be equal to the expected shifts + assert_allclose(original_world_coords.Tx, fixed_world_coords.Tx, rtol=1e-2, atol=0.4) + assert_allclose(original_world_coords.Ty, fixed_world_coords.Ty, rtol=1e-2, atol=0.4) @figure_test def test_coalignment_figure(cutout_map, aia171_test_map): levels = [200, 400, 500, 700, 800] * cutout_map.unit - messed_map = copy.deepcopy(cutout_map) - messed_map.meta['crpix1'] += 10 - messed_map.meta['crpix2'] += 10 + messed_map = cutout_map.shift_reference_coord(25*u.arcsec, 50*u.arcsec) fixed_cutout_map = coalign(aia171_test_map, messed_map) fig = plt.figure(figsize=(15, 7.5)) # Before coalignment - ax1 = fig.add_subplot(121, projection=cutout_map) - cutout_map.plot(axes=ax1, title='Original Cutout', cmap='Blues_r', norm=ImageNormalize(stretch=AsinhStretch())) + ax1 = fig.add_subplot(131, projection=cutout_map) + cutout_map.plot(axes=ax1, title='Original Cutout') cutout_map.draw_contours(levels, axes=ax1, alpha=0.3) + # Messed up map + ax2 = fig.add_subplot(132, projection=messed_map) + messed_map.plot(axes=ax2, title='Messed Cutout') + cutout_map.draw_contours(levels, axes=ax2, alpha=0.3) # After coalignment - ax2 = fig.add_subplot(122, projection=fixed_cutout_map) - fixed_cutout_map.plot(axes=ax2, title='Fixed Cutout', cmap='Blues_r', norm=ImageNormalize(stretch=AsinhStretch())) - fixed_cutout_map.draw_contours(levels, axes=ax2, alpha=0.3) + ax3 = fig.add_subplot(133, projection=fixed_cutout_map) + fixed_cutout_map.plot(axes=ax3, title='Fixed Cutout') + cutout_map.draw_contours(levels, axes=ax3, alpha=0.3) fig.tight_layout() return fig \ No newline at end of file From 2db2b093e2e390fd485c2d3c9ecd0a52ea425045 Mon Sep 17 00:00:00 2001 From: Deus1704 Date: Sun, 18 Aug 2024 23:37:07 +0530 Subject: [PATCH 45/68] added a note --- sunkit_image/coalignment/interface.py | 9 +++++++-- 1 file changed, 7 insertions(+), 2 deletions(-) diff --git a/sunkit_image/coalignment/interface.py b/sunkit_image/coalignment/interface.py index 7d23afb2..581a790f 100644 --- a/sunkit_image/coalignment/interface.py +++ b/sunkit_image/coalignment/interface.py @@ -115,9 +115,14 @@ def warn_user_of_separation(reference_map,target_map): def coalign(reference_map, target_map, method='match_template'): """ - Performs image coalignment using a specified method (defaults to `~sunkit_image.coalignment.match_template.match_template_coalign`). It updates the - metadata of the target map so as to align it with the reference map. + Performs image coalignment using a specified method (defaults to `~sunkit_image.coalignment.match_template.match_template_coalign`). + This function updates the metadata of the target map to align it with the reference map. + .. note:: + + * This function is intended to correct maps with known incorrect metadata. It is not designed to address issues like differential rotation or changes in observer location, which are encoded in the coordinate metadata. + * The function modifies the metadata of the map, not the underlying array data. For adjustments that involve coordinate transformations, consider using `~sunpy.map.GenericMap.reproject_to` instead. + Parameters ---------- reference_map : `sunpy.map.Map` From 2cabfa406c60fb0797a2c7a236b4249ee9306c14 Mon Sep 17 00:00:00 2001 From: Deus1704 Date: Mon, 19 Aug 2024 00:32:47 +0530 Subject: [PATCH 46/68] slightly changed the map observation and fig hash --- sunkit_image/coalignment/tests/test_coalignment.py | 4 ++-- .../figure_hashes_mpl_390_ft_261_sunpy_600_astropy_610.json | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/sunkit_image/coalignment/tests/test_coalignment.py b/sunkit_image/coalignment/tests/test_coalignment.py index 499ddf8b..e91544f3 100644 --- a/sunkit_image/coalignment/tests/test_coalignment.py +++ b/sunkit_image/coalignment/tests/test_coalignment.py @@ -39,8 +39,8 @@ def test_coalignment(is_test_map): @pytest.fixture() def cutout_map(aia171_test_map): aia_map = sunpy.map.Map(aia171_test_map) - bottom_left = SkyCoord(300 * u.arcsec, -300 * u.arcsec, frame = aia_map.coordinate_frame) - top_right = SkyCoord(800 * u.arcsec, 200 * u.arcsec, frame = aia_map.coordinate_frame) + bottom_left = SkyCoord(-300 * u.arcsec, -300 * u.arcsec, frame = aia_map.coordinate_frame) + top_right = SkyCoord(800 * u.arcsec, 600 * u.arcsec, frame = aia_map.coordinate_frame) cutout_map = aia_map.submap(bottom_left, top_right=top_right) return cutout_map diff --git a/sunkit_image/tests/figure_hashes_mpl_390_ft_261_sunpy_600_astropy_610.json b/sunkit_image/tests/figure_hashes_mpl_390_ft_261_sunpy_600_astropy_610.json index 9e04cb0a..c871241c 100644 --- a/sunkit_image/tests/figure_hashes_mpl_390_ft_261_sunpy_600_astropy_610.json +++ b/sunkit_image/tests/figure_hashes_mpl_390_ft_261_sunpy_600_astropy_610.json @@ -10,5 +10,5 @@ "sunkit_image.tests.test_stara.test_stara_plot": "88a1fafc42b22264a68a9b633bfa3bbe22ce3e89cbf8db15920a9d28b62e49f6", "sunkit_image.tests.test_trace.test_occult2_fig[array]": "e59f4c476b6b27788ab8dc397cb0d2f34f8d6032eced289fd2eabeb324b39558", "sunkit_image.tests.test_trace.test_occult2_fig[map]": "e59f4c476b6b27788ab8dc397cb0d2f34f8d6032eced289fd2eabeb324b39558", - "sunkit_image.coalignmnet.tests.test_coalignment.test_coalignment_figure": "f7a8e5a7377422c652a47217981d1c3bd1a66b5c211eae6ef18e4cef2660e438" + "sunkit_image.coalignmnet.tests.test_coalignment.test_coalignment_figure": "2d9630e44e1344cee828bc4adb67b5a0e78954dd1177d8b29e0601529934be63." } From 2634cc807f6ee34e727c17ad5ff5921b5395b37d Mon Sep 17 00:00:00 2001 From: Deus1704 Date: Mon, 19 Aug 2024 00:48:33 +0530 Subject: [PATCH 47/68] fixed refs --- docs/how_to_guide/adding_a_coalignment_method.rst | 5 +++-- examples/aligning_aia_with_eis_maps.py | 2 +- sunkit_image/coalignment/interface.py | 2 +- 3 files changed, 5 insertions(+), 4 deletions(-) diff --git a/docs/how_to_guide/adding_a_coalignment_method.rst b/docs/how_to_guide/adding_a_coalignment_method.rst index c55e312a..df2bd00c 100644 --- a/docs/how_to_guide/adding_a_coalignment_method.rst +++ b/docs/how_to_guide/adding_a_coalignment_method.rst @@ -4,11 +4,12 @@ Add a New Coalignment Method **************************** -If you want to register a new coalignment method that can be used by :func:`~sunkit_image.coalignment.coalign`, you can use :func:`~sunkit_image.coalignment.decorators.register_coalignment_method`: +If you want to register a new coalignment method that can be used by :func:`~sunkit_image.coalignment.coalign`, you can use :meth:`~sunkit_image.coalignment.decorators.register_coalignment_method`: .. code-block:: python from sunkit_image.coalignment.decorators import register_coalignment_method + from sunkit_image.coalignment.interface import AffineParams @register_coalignment_method("my_coalign") def my_coalignment_method(input_array, template_array): @@ -50,7 +51,7 @@ The :func:`~sunkit_image.coalignment.coalign` function does not change any probl Checking if the Method is Registered ==================================== -To check if your method is registered, you can check if it is present in the registered methods dictionary :func:`~sunkit_image.coalignment.decorators.registered_methods` using the following code: +To check if your method is registered, you can check if it is present in the registered methods dictionary `~sunkit_image.coalignment.decorators.registered_methods` using the following code: .. code-block:: python diff --git a/examples/aligning_aia_with_eis_maps.py b/examples/aligning_aia_with_eis_maps.py index 1e5c03e3..f198d8f6 100644 --- a/examples/aligning_aia_with_eis_maps.py +++ b/examples/aligning_aia_with_eis_maps.py @@ -43,7 +43,7 @@ # Now we can coalign EIS to AIA using a cross-correlation. # For this we would be using the "match_template" method. # For details of the implementation refer to the -# documentation of `~sunkit_image.coalignment.match_template.match_template_coalign`. +# documentation of :func:`~sunkit_image.coalignment.match_template.match_template_coalign`. coaligned_eis_map = coalign(aia_downsampled, eis_map) diff --git a/sunkit_image/coalignment/interface.py b/sunkit_image/coalignment/interface.py index 581a790f..38301c60 100644 --- a/sunkit_image/coalignment/interface.py +++ b/sunkit_image/coalignment/interface.py @@ -115,7 +115,7 @@ def warn_user_of_separation(reference_map,target_map): def coalign(reference_map, target_map, method='match_template'): """ - Performs image coalignment using a specified method (defaults to `~sunkit_image.coalignment.match_template.match_template_coalign`). + Performs image coalignment using a specified method (defaults to :func:`~sunkit_image.coalignment.match_template.match_template_coalign`). This function updates the metadata of the target map to align it with the reference map. .. note:: From 49793d08dbad31f1eee6174c385079c487495fae Mon Sep 17 00:00:00 2001 From: Deus1704 Date: Mon, 19 Aug 2024 01:07:10 +0530 Subject: [PATCH 48/68] trying to fix fig hash --- docs/how_to_guide/adding_a_coalignment_method.rst | 4 ++-- examples/aligning_aia_with_eis_maps.py | 2 +- .../figure_hashes_mpl_390_ft_261_sunpy_600_astropy_610.json | 4 ++-- 3 files changed, 5 insertions(+), 5 deletions(-) diff --git a/docs/how_to_guide/adding_a_coalignment_method.rst b/docs/how_to_guide/adding_a_coalignment_method.rst index df2bd00c..93753918 100644 --- a/docs/how_to_guide/adding_a_coalignment_method.rst +++ b/docs/how_to_guide/adding_a_coalignment_method.rst @@ -4,7 +4,7 @@ Add a New Coalignment Method **************************** -If you want to register a new coalignment method that can be used by :func:`~sunkit_image.coalignment.coalign`, you can use :meth:`~sunkit_image.coalignment.decorators.register_coalignment_method`: +If you want to register a new coalignment method that can be used by :func:`~sunkit_image.coalignment.coalign`, you can use :func:`sunkit_image.coalignment.decorators.register_coalignment_method`: .. code-block:: python @@ -51,7 +51,7 @@ The :func:`~sunkit_image.coalignment.coalign` function does not change any probl Checking if the Method is Registered ==================================== -To check if your method is registered, you can check if it is present in the registered methods dictionary `~sunkit_image.coalignment.decorators.registered_methods` using the following code: +To check if your method is registered, you can check if it is present in the registered methods dictionary `sunkit_image.coalignment.decorators.registered_methods` using the following code: .. code-block:: python diff --git a/examples/aligning_aia_with_eis_maps.py b/examples/aligning_aia_with_eis_maps.py index f198d8f6..8f2b7526 100644 --- a/examples/aligning_aia_with_eis_maps.py +++ b/examples/aligning_aia_with_eis_maps.py @@ -43,7 +43,7 @@ # Now we can coalign EIS to AIA using a cross-correlation. # For this we would be using the "match_template" method. # For details of the implementation refer to the -# documentation of :func:`~sunkit_image.coalignment.match_template.match_template_coalign`. +# documentation of :func:`sunkit_image.coalignment.match_template.match_template_coalign`. coaligned_eis_map = coalign(aia_downsampled, eis_map) diff --git a/sunkit_image/tests/figure_hashes_mpl_390_ft_261_sunpy_600_astropy_610.json b/sunkit_image/tests/figure_hashes_mpl_390_ft_261_sunpy_600_astropy_610.json index c871241c..fb195f7d 100644 --- a/sunkit_image/tests/figure_hashes_mpl_390_ft_261_sunpy_600_astropy_610.json +++ b/sunkit_image/tests/figure_hashes_mpl_390_ft_261_sunpy_600_astropy_610.json @@ -1,4 +1,5 @@ { + "sunkit_image.coalignmnet.tests.test_coalignment.test_coalignment_figure": "2339ce38ff576888472a5f527b80c24ff34f0f7e9d7631af0eeefc96accb7ac7.", "sunkit_image.tests.test_enhance.test_mgn[array]": "f7a8e5a7377422c652a47217981d1c3bd1a66b5c211eae6ef18e4cef2660e438", "sunkit_image.tests.test_enhance.test_mgn[map]": "50bb490a6cc2408befe13c7f2a54f7433df80c2473dd21b619ace35de7e8f250", "sunkit_image.tests.test_enhance.test_wow[array]": "fe6ee53b57b2fc6d8ce8a96e4273c3ddbe17057aeded32611b8e7294648d28e5", @@ -9,6 +10,5 @@ "sunkit_image.tests.test_radial.test_multifig_rhef": "ac41a919a6a67fc47d34d9512d1177ff0fc7ef43bef0296d1751020b6ed5f2f0", "sunkit_image.tests.test_stara.test_stara_plot": "88a1fafc42b22264a68a9b633bfa3bbe22ce3e89cbf8db15920a9d28b62e49f6", "sunkit_image.tests.test_trace.test_occult2_fig[array]": "e59f4c476b6b27788ab8dc397cb0d2f34f8d6032eced289fd2eabeb324b39558", - "sunkit_image.tests.test_trace.test_occult2_fig[map]": "e59f4c476b6b27788ab8dc397cb0d2f34f8d6032eced289fd2eabeb324b39558", - "sunkit_image.coalignmnet.tests.test_coalignment.test_coalignment_figure": "2d9630e44e1344cee828bc4adb67b5a0e78954dd1177d8b29e0601529934be63." + "sunkit_image.tests.test_trace.test_occult2_fig[map]": "e59f4c476b6b27788ab8dc397cb0d2f34f8d6032eced289fd2eabeb324b39558" } From 2784fd487c1c3b7008e541988892a9c50b34d7c2 Mon Sep 17 00:00:00 2001 From: Deus1704 Date: Wed, 21 Aug 2024 15:21:10 +0530 Subject: [PATCH 49/68] fixed online test, added few more tests, updated coalignment.rst --- docs/code_ref/coalignment.rst | 13 +++++ .../adding_a_coalignment_method.rst | 4 +- examples/aligning_aia_with_eis_maps.py | 2 +- sunkit_image/coalignment/interface.py | 2 +- .../coalignment/tests/test_coalignment.py | 56 +++++++++++++++---- 5 files changed, 61 insertions(+), 16 deletions(-) diff --git a/docs/code_ref/coalignment.rst b/docs/code_ref/coalignment.rst index 86d17ad6..4a5298be 100644 --- a/docs/code_ref/coalignment.rst +++ b/docs/code_ref/coalignment.rst @@ -1 +1,14 @@ +Coalignment (`sunkit_image.coalignment`) +************************************** + +``sunpy.coalignment`` provides routines to perform coalignment of solar images. The main entry point is the ``coalign`` function, which accepts a reference map, a target map, and a specified method +for coalignment. This method returns a new map with updated metadata reflecting the applied affine transformations, such as scaling, rotation, and translation. +The module supports various transformation methods registered via the ``register_coalignment_method`` decorator, allowing for flexible coalignment strategies based on the specific needs of the data. + .. automodapi:: sunkit_image.coalignment + +.. automodapi:: sunkit_image.coalignment.interface + +.. automodapi:: sunkit_image.coalignment.match_template + +.. automodapi:: sunkit_image.coalignment.decorators \ No newline at end of file diff --git a/docs/how_to_guide/adding_a_coalignment_method.rst b/docs/how_to_guide/adding_a_coalignment_method.rst index 93753918..0f677458 100644 --- a/docs/how_to_guide/adding_a_coalignment_method.rst +++ b/docs/how_to_guide/adding_a_coalignment_method.rst @@ -4,7 +4,7 @@ Add a New Coalignment Method **************************** -If you want to register a new coalignment method that can be used by :func:`~sunkit_image.coalignment.coalign`, you can use :func:`sunkit_image.coalignment.decorators.register_coalignment_method`: +If you want to register a new coalignment method that can be used by :func:`~sunkit_image.coalignment.coalign`, you can use :func:`~sunkit_image.coalignment.decorators.register_coalignment_method`: .. code-block:: python @@ -51,7 +51,7 @@ The :func:`~sunkit_image.coalignment.coalign` function does not change any probl Checking if the Method is Registered ==================================== -To check if your method is registered, you can check if it is present in the registered methods dictionary `sunkit_image.coalignment.decorators.registered_methods` using the following code: +To check if your method is registered, you can check if it is present in the registered methods dictionary `~sunkit_image.coalignment.decorators.registered_methods` using the following code: .. code-block:: python diff --git a/examples/aligning_aia_with_eis_maps.py b/examples/aligning_aia_with_eis_maps.py index 8f2b7526..1e5c03e3 100644 --- a/examples/aligning_aia_with_eis_maps.py +++ b/examples/aligning_aia_with_eis_maps.py @@ -43,7 +43,7 @@ # Now we can coalign EIS to AIA using a cross-correlation. # For this we would be using the "match_template" method. # For details of the implementation refer to the -# documentation of :func:`sunkit_image.coalignment.match_template.match_template_coalign`. +# documentation of `~sunkit_image.coalignment.match_template.match_template_coalign`. coaligned_eis_map = coalign(aia_downsampled, eis_map) diff --git a/sunkit_image/coalignment/interface.py b/sunkit_image/coalignment/interface.py index 38301c60..581a790f 100644 --- a/sunkit_image/coalignment/interface.py +++ b/sunkit_image/coalignment/interface.py @@ -115,7 +115,7 @@ def warn_user_of_separation(reference_map,target_map): def coalign(reference_map, target_map, method='match_template'): """ - Performs image coalignment using a specified method (defaults to :func:`~sunkit_image.coalignment.match_template.match_template_coalign`). + Performs image coalignment using a specified method (defaults to `~sunkit_image.coalignment.match_template.match_template_coalign`). This function updates the metadata of the target map to align it with the reference map. .. note:: diff --git a/sunkit_image/coalignment/tests/test_coalignment.py b/sunkit_image/coalignment/tests/test_coalignment.py index e91544f3..86e93334 100644 --- a/sunkit_image/coalignment/tests/test_coalignment.py +++ b/sunkit_image/coalignment/tests/test_coalignment.py @@ -10,30 +10,33 @@ import sunpy.map from sunpy.net import Fido, attrs as a +from sunpy.util.exceptions import SunpyUserWarning from sunkit_image.coalignment import coalign +from sunkit_image.coalignment.decorators import register_coalignment_method, registered_methods +from sunkit_image.coalignment.interface import AffineParams from sunkit_image.data.test import get_test_filepath from sunkit_image.tests.helpers import figure_test @pytest.fixture() -def is_test_map(): +def eis_test_map(): return sunpy.map.Map(get_test_filepath("eis_20140108_095727.fe_12_195_119.2c-0.int.fits")) @pytest.mark.remote_data() -def test_coalignment(is_test_map): - aia193_test_map = sunpy.map.Map(Fido.fetch(Fido.search(a.Time(start=is_test_map.meta["date_beg"], near=is_test_map.meta["date_avg"], end=is_test_map.meta["date_end"]), a.Instrument('aia'), a.Wavelength(193*u.angstrom)))) +def test_coalignment(eis_test_map): + aia193_test_map = sunpy.map.Map(Fido.fetch(Fido.search(a.Time(start=eis_test_map.meta["date_beg"], near=eis_test_map.meta["date_avg"], end=eis_test_map.meta["date_end"]), a.Instrument('aia'), a.Wavelength(193*u.angstrom)))) # Synchronize obstime and rsun to reduce transformation issues - aia193_test_map.meta['rsun_obs'] = is_test_map.meta['dsun_obs']/2 - aia193_test_map.meta['date-obs'] = is_test_map.meta['date-obs'] - nx = (aia193_test_map.scale.axis1 * aia193_test_map.dimensions.x) / is_test_map.scale[0] - ny = (aia193_test_map.scale.axis2 * aia193_test_map.dimensions.y) / is_test_map.scale[1] + aia193_test_map.meta['rsun_obs'] = eis_test_map.meta['dsun_obs']/2 + aia193_test_map.meta['date-obs'] = eis_test_map.meta['date_obs'] + nx = (aia193_test_map.scale.axis1 * aia193_test_map.dimensions.x) / eis_test_map.scale[0] + ny = (aia193_test_map.scale.axis2 * aia193_test_map.dimensions.y) / eis_test_map.scale[1] aia193_test_downsampled_map = aia193_test_map.resample(u.Quantity([nx, ny])) - coaligned_is_map = coalign(aia193_test_downsampled_map, is_test_map, "match_template") - assert coaligned_is_map.data.shape == is_test_map.data.shape - assert coaligned_is_map.wcs.wcs.crval[0] == aia193_test_downsampled_map.wcs.wcs.crval[0] - assert coaligned_is_map.wcs.wcs.crval[1] == aia193_test_downsampled_map.wcs.wcs.crval[1] + coaligned_is_map = coalign(aia193_test_downsampled_map, eis_test_map, "match_template") + assert coaligned_is_map.data.shape == eis_test_map.data.shape + assert_allclose(coaligned_is_map.wcs.wcs.crval[0], aia193_test_downsampled_map.wcs.wcs.crval[0],rtol = 1e-2, atol = 0.13) + assert_allclose(coaligned_is_map.wcs.wcs.crval[1], aia193_test_downsampled_map.wcs.wcs.crval[1],rtol = 1e-2, atol = 0.13) @pytest.fixture() @@ -76,4 +79,33 @@ def test_coalignment_figure(cutout_map, aia171_test_map): fixed_cutout_map.plot(axes=ax3, title='Fixed Cutout') cutout_map.draw_contours(levels, axes=ax3, alpha=0.3) fig.tight_layout() - return fig \ No newline at end of file + return fig + + +@pytest.fixture() +@register_coalignment_method("scaling") +def coalign_scaling(reference_map, target_map): + return AffineParams(scale=np.array([0.25, 0.25]), rotation_matrix=np.eye(2), translation=(0 , 0)) + + +def test_coalignment_reflects_scaling(cutout_map, aia171_test_map): + scale_factor = 4 + rescaled_map = cutout_map.resample(u.Quantity([cutout_map.dimensions.x * scale_factor, cutout_map.dimensions.y * scale_factor])) + fixed_cutout_map = coalign(aia171_test_map, rescaled_map, method="scaling") + assert_allclose(fixed_cutout_map.scale[0].value, cutout_map.scale[0].value, rtol=1e-5, atol=0) + assert_allclose(fixed_cutout_map.scale[1].value, cutout_map.scale[1].value, rtol=1e-5, atol=0) + + +@pytest.fixture() +@register_coalignment_method("rotation") +def coalign_scaling(reference_map, target_map): + rotation_matrix = np.array([[0.866, -0.5], [0.5, 0.866]]) + return AffineParams(scale=np.array([1.0, 1.0]), rotation_matrix= rotation_matrix, translation=(0 , 0)) + + +def test_coalignment_reflects_rotation(cutout_map, aia171_test_map): + rotation_angle = 30 * u.deg + rotated_map = cutout_map.rotate(angle=rotation_angle) + fixed_cutout_map = coalign(aia171_test_map, rotated_map, method="rotation") + assert_allclose(fixed_cutout_map.rotation_matrix[0, 0], cutout_map.rotation_matrix[0, 0], rtol=1e-4, atol=0) + assert_allclose(fixed_cutout_map.rotation_matrix[1, 1], cutout_map.rotation_matrix[1, 1], rtol=1e-4, atol=0) From b8ae4106128f3c3027e148355b989b36da6e63dc Mon Sep 17 00:00:00 2001 From: Deus1704 Date: Wed, 21 Aug 2024 15:38:36 +0530 Subject: [PATCH 50/68] trying automodule --- docs/code_ref/coalignment.rst | 14 +++++++++----- 1 file changed, 9 insertions(+), 5 deletions(-) diff --git a/docs/code_ref/coalignment.rst b/docs/code_ref/coalignment.rst index 4a5298be..3707ea34 100644 --- a/docs/code_ref/coalignment.rst +++ b/docs/code_ref/coalignment.rst @@ -1,5 +1,5 @@ Coalignment (`sunkit_image.coalignment`) -************************************** +**************************************** ``sunpy.coalignment`` provides routines to perform coalignment of solar images. The main entry point is the ``coalign`` function, which accepts a reference map, a target map, and a specified method for coalignment. This method returns a new map with updated metadata reflecting the applied affine transformations, such as scaling, rotation, and translation. @@ -7,8 +7,12 @@ The module supports various transformation methods registered via the ``register .. automodapi:: sunkit_image.coalignment -.. automodapi:: sunkit_image.coalignment.interface +.. automodule:: sunkit_image.coalignment.match_template + :members: + :undoc-members: + :show-inheritance: -.. automodapi:: sunkit_image.coalignment.match_template - -.. automodapi:: sunkit_image.coalignment.decorators \ No newline at end of file +.. automodule:: sunkit_image.coalignment.decorators + :members: + :undoc-members: + :show-inheritance: \ No newline at end of file From 491acbfaec204ce9a1c1023686f88d9811a3e021 Mon Sep 17 00:00:00 2001 From: Deus1704 Date: Wed, 21 Aug 2024 19:33:15 +0530 Subject: [PATCH 51/68] docstring fix --- docs/code_ref/coalignment.rst | 12 +++--------- sunkit_image/coalignment/match_template.py | 7 ++++--- 2 files changed, 7 insertions(+), 12 deletions(-) diff --git a/docs/code_ref/coalignment.rst b/docs/code_ref/coalignment.rst index 3707ea34..0df82460 100644 --- a/docs/code_ref/coalignment.rst +++ b/docs/code_ref/coalignment.rst @@ -5,14 +5,8 @@ Coalignment (`sunkit_image.coalignment`) for coalignment. This method returns a new map with updated metadata reflecting the applied affine transformations, such as scaling, rotation, and translation. The module supports various transformation methods registered via the ``register_coalignment_method`` decorator, allowing for flexible coalignment strategies based on the specific needs of the data. -.. automodapi:: sunkit_image.coalignment +.. automodapi:: sunkit_image.coalignment.interface -.. automodule:: sunkit_image.coalignment.match_template - :members: - :undoc-members: - :show-inheritance: +.. automodapi:: sunkit_image.coalignment.match_template -.. automodule:: sunkit_image.coalignment.decorators - :members: - :undoc-members: - :show-inheritance: \ No newline at end of file +.. automodapi:: sunkit_image.coalignment.decorators \ No newline at end of file diff --git a/sunkit_image/coalignment/match_template.py b/sunkit_image/coalignment/match_template.py index c17f3a26..3c39196c 100644 --- a/sunkit_image/coalignment/match_template.py +++ b/sunkit_image/coalignment/match_template.py @@ -105,11 +105,12 @@ def match_template_coalign(reference_array, target_array): ------- AffineParams A named tuple containing the following affine transformation parameters: - - scale: list + + - scale : list A list of tuples representing the scale transformation as an identity matrix. - - rotation: float + - rotation : float The rotation angle in radians, which is fixed at 0.0 in this function. - - translation: tuple + - translation : tuple A tuple containing the x and y translation values. """ corr = match_template(np.float64(reference_array), np.float64(target_array)) From c87a19218043eb02d1cd05cd091e0de8efc4345f Mon Sep 17 00:00:00 2001 From: Deus1704 Date: Wed, 21 Aug 2024 20:17:35 +0530 Subject: [PATCH 52/68] fix the online fail by suppressing Astropy Warning --- docs/code_ref/coalignment.rst | 4 ++-- sunkit_image/coalignment/tests/test_coalignment.py | 9 +++++---- 2 files changed, 7 insertions(+), 6 deletions(-) diff --git a/docs/code_ref/coalignment.rst b/docs/code_ref/coalignment.rst index 0df82460..9b254d51 100644 --- a/docs/code_ref/coalignment.rst +++ b/docs/code_ref/coalignment.rst @@ -1,5 +1,5 @@ -Coalignment (`sunkit_image.coalignment`) -**************************************** +Coalignment +*********** ``sunpy.coalignment`` provides routines to perform coalignment of solar images. The main entry point is the ``coalign`` function, which accepts a reference map, a target map, and a specified method for coalignment. This method returns a new map with updated metadata reflecting the applied affine transformations, such as scaling, rotation, and translation. diff --git a/sunkit_image/coalignment/tests/test_coalignment.py b/sunkit_image/coalignment/tests/test_coalignment.py index 86e93334..565ab804 100644 --- a/sunkit_image/coalignment/tests/test_coalignment.py +++ b/sunkit_image/coalignment/tests/test_coalignment.py @@ -1,4 +1,4 @@ -import copy +import warnings import numpy as np from numpy.testing import assert_allclose import matplotlib.pyplot as plt @@ -6,7 +6,7 @@ from scipy.ndimage import shift as sp_shift import astropy.units as u -from astropy.coordinates import SkyCoord +from astropy.coordinates import SkyCoord, baseframe import sunpy.map from sunpy.net import Fido, attrs as a @@ -18,6 +18,8 @@ from sunkit_image.data.test import get_test_filepath from sunkit_image.tests.helpers import figure_test +# Ignore the warning from Astropy regarding the issue of large angular separation between the coordinates. +warnings.simplefilter('ignore', baseframe.NonRotationTransformationWarning) @pytest.fixture() def eis_test_map(): @@ -27,9 +29,8 @@ def eis_test_map(): @pytest.mark.remote_data() def test_coalignment(eis_test_map): aia193_test_map = sunpy.map.Map(Fido.fetch(Fido.search(a.Time(start=eis_test_map.meta["date_beg"], near=eis_test_map.meta["date_avg"], end=eis_test_map.meta["date_end"]), a.Instrument('aia'), a.Wavelength(193*u.angstrom)))) - # Synchronize obstime and rsun to reduce transformation issues + # Synchronize rsun to reduce transformation issues aia193_test_map.meta['rsun_obs'] = eis_test_map.meta['dsun_obs']/2 - aia193_test_map.meta['date-obs'] = eis_test_map.meta['date_obs'] nx = (aia193_test_map.scale.axis1 * aia193_test_map.dimensions.x) / eis_test_map.scale[0] ny = (aia193_test_map.scale.axis2 * aia193_test_map.dimensions.y) / eis_test_map.scale[1] aia193_test_downsampled_map = aia193_test_map.resample(u.Quantity([nx, ny])) From fcf2ea2ce9763ae0989f749599ebdd24bc54b9d7 Mon Sep 17 00:00:00 2001 From: Deus1704 Date: Wed, 21 Aug 2024 21:09:14 +0530 Subject: [PATCH 53/68] one last try --- docs/code_ref/coalignment.rst | 2 ++ sunkit_image/coalignment/tests/test_coalignment.py | 4 ++-- 2 files changed, 4 insertions(+), 2 deletions(-) diff --git a/docs/code_ref/coalignment.rst b/docs/code_ref/coalignment.rst index 9b254d51..313f0052 100644 --- a/docs/code_ref/coalignment.rst +++ b/docs/code_ref/coalignment.rst @@ -5,6 +5,8 @@ Coalignment for coalignment. This method returns a new map with updated metadata reflecting the applied affine transformations, such as scaling, rotation, and translation. The module supports various transformation methods registered via the ``register_coalignment_method`` decorator, allowing for flexible coalignment strategies based on the specific needs of the data. +.. automodapi:: sunkit_image.coalignment + .. automodapi:: sunkit_image.coalignment.interface .. automodapi:: sunkit_image.coalignment.match_template diff --git a/sunkit_image/coalignment/tests/test_coalignment.py b/sunkit_image/coalignment/tests/test_coalignment.py index 565ab804..f2bdb58e 100644 --- a/sunkit_image/coalignment/tests/test_coalignment.py +++ b/sunkit_image/coalignment/tests/test_coalignment.py @@ -6,7 +6,7 @@ from scipy.ndimage import shift as sp_shift import astropy.units as u -from astropy.coordinates import SkyCoord, baseframe +from astropy.coordinates import SkyCoord,NonRotationTransformationWarning import sunpy.map from sunpy.net import Fido, attrs as a @@ -19,7 +19,7 @@ from sunkit_image.tests.helpers import figure_test # Ignore the warning from Astropy regarding the issue of large angular separation between the coordinates. -warnings.simplefilter('ignore', baseframe.NonRotationTransformationWarning) +warnings.simplefilter('ignore', NonRotationTransformationWarning) @pytest.fixture() def eis_test_map(): From 44c5c4c4d62f1db2d94326058daaa10c6ab9392d Mon Sep 17 00:00:00 2001 From: Jayraj Dulange Date: Wed, 21 Aug 2024 16:03:29 +0000 Subject: [PATCH 54/68] might need a better way --- docs/how_to_guide/adding_a_coalignment_method.rst | 2 +- sunkit_image/coalignment/tests/test_coalignment.py | 3 ++- 2 files changed, 3 insertions(+), 2 deletions(-) diff --git a/docs/how_to_guide/adding_a_coalignment_method.rst b/docs/how_to_guide/adding_a_coalignment_method.rst index 0f677458..e943b788 100644 --- a/docs/how_to_guide/adding_a_coalignment_method.rst +++ b/docs/how_to_guide/adding_a_coalignment_method.rst @@ -51,7 +51,7 @@ The :func:`~sunkit_image.coalignment.coalign` function does not change any probl Checking if the Method is Registered ==================================== -To check if your method is registered, you can check if it is present in the registered methods dictionary `~sunkit_image.coalignment.decorators.registered_methods` using the following code: +To check if your method is registered, you can check if it is present in the registered methods dictionary ``registered_methods`` using the following code: .. code-block:: python diff --git a/sunkit_image/coalignment/tests/test_coalignment.py b/sunkit_image/coalignment/tests/test_coalignment.py index f2bdb58e..ba911e7e 100644 --- a/sunkit_image/coalignment/tests/test_coalignment.py +++ b/sunkit_image/coalignment/tests/test_coalignment.py @@ -6,7 +6,8 @@ from scipy.ndimage import shift as sp_shift import astropy.units as u -from astropy.coordinates import SkyCoord,NonRotationTransformationWarning +from astropy.coordinates import SkyCoord +from astropy.coordinates.errors import NonRotationTransformationWarning import sunpy.map from sunpy.net import Fido, attrs as a From 4e86bd723e8e6bf62edc27bbc0ad14444227a6f3 Mon Sep 17 00:00:00 2001 From: Jayraj Dulange Date: Wed, 21 Aug 2024 16:33:05 +0000 Subject: [PATCH 55/68] for 6.1.2 no comments --- sunkit_image/coalignment/tests/test_coalignment.py | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/sunkit_image/coalignment/tests/test_coalignment.py b/sunkit_image/coalignment/tests/test_coalignment.py index ba911e7e..28c95479 100644 --- a/sunkit_image/coalignment/tests/test_coalignment.py +++ b/sunkit_image/coalignment/tests/test_coalignment.py @@ -1,4 +1,5 @@ import warnings +from packaging import version import numpy as np from numpy.testing import assert_allclose import matplotlib.pyplot as plt @@ -6,8 +7,8 @@ from scipy.ndimage import shift as sp_shift import astropy.units as u +from astropy import __version__ as astropy_version from astropy.coordinates import SkyCoord -from astropy.coordinates.errors import NonRotationTransformationWarning import sunpy.map from sunpy.net import Fido, attrs as a @@ -19,8 +20,10 @@ from sunkit_image.data.test import get_test_filepath from sunkit_image.tests.helpers import figure_test -# Ignore the warning from Astropy regarding the issue of large angular separation between the coordinates. -warnings.simplefilter('ignore', NonRotationTransformationWarning) +if version.parse(astropy_version) >= version.parse("6.1"): + # Ignore the warning from Astropy regarding the issue of large angular separation between the coordinates. + from astropy.coordinates import NonRotationTransformationWarning + warnings.simplefilter('ignore', NonRotationTransformationWarning) @pytest.fixture() def eis_test_map(): From a6c1f85c784de4928b4b50c2dba2521a2e94656f Mon Sep 17 00:00:00 2001 From: Jayraj Dulange Date: Wed, 21 Aug 2024 19:16:53 +0000 Subject: [PATCH 56/68] final try silly terminal --- docs/code_ref/coalignment.rst | 4 ++-- sunkit_image/coalignment/tests/test_coalignment.py | 8 +------- ...igure_hashes_mpl_390_ft_261_sunpy_600_astropy_610.json | 6 ++---- 3 files changed, 5 insertions(+), 13 deletions(-) diff --git a/docs/code_ref/coalignment.rst b/docs/code_ref/coalignment.rst index 313f0052..1d9d2107 100644 --- a/docs/code_ref/coalignment.rst +++ b/docs/code_ref/coalignment.rst @@ -1,5 +1,5 @@ -Coalignment -*********** +Coalignment Package +******************* ``sunpy.coalignment`` provides routines to perform coalignment of solar images. The main entry point is the ``coalign`` function, which accepts a reference map, a target map, and a specified method for coalignment. This method returns a new map with updated metadata reflecting the applied affine transformations, such as scaling, rotation, and translation. diff --git a/sunkit_image/coalignment/tests/test_coalignment.py b/sunkit_image/coalignment/tests/test_coalignment.py index 28c95479..f46adc58 100644 --- a/sunkit_image/coalignment/tests/test_coalignment.py +++ b/sunkit_image/coalignment/tests/test_coalignment.py @@ -1,5 +1,4 @@ import warnings -from packaging import version import numpy as np from numpy.testing import assert_allclose import matplotlib.pyplot as plt @@ -7,7 +6,6 @@ from scipy.ndimage import shift as sp_shift import astropy.units as u -from astropy import __version__ as astropy_version from astropy.coordinates import SkyCoord import sunpy.map @@ -20,17 +18,13 @@ from sunkit_image.data.test import get_test_filepath from sunkit_image.tests.helpers import figure_test -if version.parse(astropy_version) >= version.parse("6.1"): - # Ignore the warning from Astropy regarding the issue of large angular separation between the coordinates. - from astropy.coordinates import NonRotationTransformationWarning - warnings.simplefilter('ignore', NonRotationTransformationWarning) - @pytest.fixture() def eis_test_map(): return sunpy.map.Map(get_test_filepath("eis_20140108_095727.fe_12_195_119.2c-0.int.fits")) @pytest.mark.remote_data() +@pytest.mark.filterwarnings("ignore:transforming other coordinates:astropy.coordinates.errors.NonRotationTransformationWarning") def test_coalignment(eis_test_map): aia193_test_map = sunpy.map.Map(Fido.fetch(Fido.search(a.Time(start=eis_test_map.meta["date_beg"], near=eis_test_map.meta["date_avg"], end=eis_test_map.meta["date_end"]), a.Instrument('aia'), a.Wavelength(193*u.angstrom)))) # Synchronize rsun to reduce transformation issues diff --git a/sunkit_image/tests/figure_hashes_mpl_390_ft_261_sunpy_600_astropy_610.json b/sunkit_image/tests/figure_hashes_mpl_390_ft_261_sunpy_600_astropy_610.json index fb195f7d..3698041d 100644 --- a/sunkit_image/tests/figure_hashes_mpl_390_ft_261_sunpy_600_astropy_610.json +++ b/sunkit_image/tests/figure_hashes_mpl_390_ft_261_sunpy_600_astropy_610.json @@ -1,9 +1,7 @@ { - "sunkit_image.coalignmnet.tests.test_coalignment.test_coalignment_figure": "2339ce38ff576888472a5f527b80c24ff34f0f7e9d7631af0eeefc96accb7ac7.", + "sunkit_image.coalignment.tests.test_coalignment.test_coalignment_figure": "2339ce38ff576888472a5f527b80c24ff34f0f7e9d7631af0eeefc96accb7ac7", "sunkit_image.tests.test_enhance.test_mgn[array]": "f7a8e5a7377422c652a47217981d1c3bd1a66b5c211eae6ef18e4cef2660e438", "sunkit_image.tests.test_enhance.test_mgn[map]": "50bb490a6cc2408befe13c7f2a54f7433df80c2473dd21b619ace35de7e8f250", - "sunkit_image.tests.test_enhance.test_wow[array]": "fe6ee53b57b2fc6d8ce8a96e4273c3ddbe17057aeded32611b8e7294648d28e5", - "sunkit_image.tests.test_enhance.test_wow[map]": "f5535fad0fe2d6ff2bfdfb10a984bb6a21ece95d971070482136fe6e6f874f1a", "sunkit_image.tests.test_radial.test_fig_nrgf": "3193fd00cf0d48c8f7aee21ed4b3a71a65e30ef80edecf0fd55330528b475a4a", "sunkit_image.tests.test_radial.test_fig_fnrgf": "404b6b49279eb2ff76c7ec63b632ed397bcf71e2db4ac6cfaf20c00b9d885cf5", "sunkit_image.tests.test_radial.test_fig_rhef": "c38e2522793b222438bc076576ef640a2c1b43b019b3e0558adecd6d25f61405", @@ -11,4 +9,4 @@ "sunkit_image.tests.test_stara.test_stara_plot": "88a1fafc42b22264a68a9b633bfa3bbe22ce3e89cbf8db15920a9d28b62e49f6", "sunkit_image.tests.test_trace.test_occult2_fig[array]": "e59f4c476b6b27788ab8dc397cb0d2f34f8d6032eced289fd2eabeb324b39558", "sunkit_image.tests.test_trace.test_occult2_fig[map]": "e59f4c476b6b27788ab8dc397cb0d2f34f8d6032eced289fd2eabeb324b39558" -} +} \ No newline at end of file From 2688e528166f8b394556a9dd36934ffd31225c5e Mon Sep 17 00:00:00 2001 From: Deus1704 Date: Fri, 23 Aug 2024 19:59:17 +0530 Subject: [PATCH 57/68] added the comprehensive changelog --- changelog/207.breaking.rst | 41 +++++++++++++++++++++++++++++++++++++- 1 file changed, 40 insertions(+), 1 deletion(-) diff --git a/changelog/207.breaking.rst b/changelog/207.breaking.rst index 5f51ffc1..730703e4 100644 --- a/changelog/207.breaking.rst +++ b/changelog/207.breaking.rst @@ -1 +1,40 @@ -Adding the updated and better version of the Coalignment API. +New Coalignment API `sunkit_image.coalignment` +======================================= + +The new coalignment API, developed as part of the GSoC 2024 project, addresses the need for a more precise and flexible approach to image coalignment +within the `sunkit_image.coalignment` module. As solar imaging data continues to grow in complexity, the existing coalignment methods from ``sunpy.image.coalignment`` and ``sunpy.physics.solar_rotation`` +were found to be scattered and lacked a unified interface, leading to confusion and redundant code. + +This API refactor streamlines the coalignment process by consolidating these methods into a cohesive and user-friendly interface. Users can now easily select and apply different coalignment +techniques through a single, intuitive API, improving both accuracy and efficiency. Additionally, this new structure eliminates duplicate code and lays the groundwork for the seamless +integration of future coalignment functions. + +New Features +------------ + +1. **Coalignment Interface** (`sunkit_image.coalignment.interface`): + - **``coalign`` function**: A new high-level function for image coalignment, allowing users to coalign solar images with a specified method. The default method used is :func:`~sunkit_image.coalignment.match_template.match_template_coalign`. The function updates the metadata of the target map to align it with the reference map, while issuing warnings for large spatial or temporal separations between maps. + - **``AffineParams`` NamedTuple**: Introduced to store and pass affine transformation parameters, including scaling, rotation, and translation values. + +2. **Template Matching Coalignment** (`sunkit_image.coalignment.match_template`): + - **``match_template_coalign`` function**: A registered coalignment method that performs coalignment using template matching. This method computes the translation needed to align the target image with the reference image, while assuming no change in rotation or scaling. + +3. **Decorator Utility** (`sunkit_image.coalignment.decorators`): + - **``register_coalignment_method`` decorator**: Enables easy registration of coalignment methods by associating them with a name. + - **Global Registry**: Maintains a dictionary of all registered coalignment methods, allowing the :func:`~sunkit_image.coalignment.coalign` function to dynamically select and execute the desired method. + +Enhancements +------------ + +- **Improved Metadata Handling**: The ``update_fits_wcs_metadata`` function (in `sunkit_image.coalignment.interface`) updates WCS metadata based on affine transformation parameters, ensuring accurate alignment of solar images. +- **User Warnings**: The ``warn_user_of_separation`` function (in `sunkit_image.coalignment.interface`) issues warnings when there are significant spatial or temporal separations between the reference and target maps, alerting users to avoid errors in the coalignment process. + +Documentation +------------- + +All functions are documented with clear and concise docstrings and can be found in the API reference. + +Examples +-------- + +Please find the examples related to the :ref:`adding of coalignment method ` and using a coalignment method here :ref:`sphx_glr_generated_gallery_aligning_aia_with_eis_maps.py` From 374cf3e3825838af8527892864b1f4325be70eca Mon Sep 17 00:00:00 2001 From: Deus1704 Date: Fri, 23 Aug 2024 20:14:34 +0530 Subject: [PATCH 58/68] fixed the changelog --- changelog/207.breaking.rst | 49 ++++++++++++++++---------------------- 1 file changed, 20 insertions(+), 29 deletions(-) diff --git a/changelog/207.breaking.rst b/changelog/207.breaking.rst index 730703e4..a306f202 100644 --- a/changelog/207.breaking.rst +++ b/changelog/207.breaking.rst @@ -1,40 +1,31 @@ -New Coalignment API `sunkit_image.coalignment` -======================================= +**New Coalignment API `sunkit_image.coalignment`** -The new coalignment API, developed as part of the GSoC 2024 project, addresses the need for a more precise and flexible approach to image coalignment -within the `sunkit_image.coalignment` module. As solar imaging data continues to grow in complexity, the existing coalignment methods from ``sunpy.image.coalignment`` and ``sunpy.physics.solar_rotation`` -were found to be scattered and lacked a unified interface, leading to confusion and redundant code. +The new coalignment API, developed as part of the GSoC 2024 project, addresses the need for a more precise and flexible approach to image coalignment within the `sunkit_image.coalignment` module. As solar imaging data continues to grow in complexity, the existing coalignment methods from ``sunpy.image.coalignment`` and ``sunpy.physics.solar_rotation`` were found to be scattered and lacked a unified interface, leading to confusion and redundant code. -This API refactor streamlines the coalignment process by consolidating these methods into a cohesive and user-friendly interface. Users can now easily select and apply different coalignment -techniques through a single, intuitive API, improving both accuracy and efficiency. Additionally, this new structure eliminates duplicate code and lays the groundwork for the seamless -integration of future coalignment functions. +**New Features:** -New Features ------------- +- **Coalignment Interface** (`sunkit_image.coalignment.interface`): + - ``coalign`` function: A high-level function for image coalignment with a specified method. Default method: :func:`~sunkit_image.coalignment.match_template.match_template_coalign`. + - ``AffineParams`` NamedTuple: Stores and passes affine transformation parameters. -1. **Coalignment Interface** (`sunkit_image.coalignment.interface`): - - **``coalign`` function**: A new high-level function for image coalignment, allowing users to coalign solar images with a specified method. The default method used is :func:`~sunkit_image.coalignment.match_template.match_template_coalign`. The function updates the metadata of the target map to align it with the reference map, while issuing warnings for large spatial or temporal separations between maps. - - **``AffineParams`` NamedTuple**: Introduced to store and pass affine transformation parameters, including scaling, rotation, and translation values. +- **Template Matching Coalignment** (`sunkit_image.coalignment.match_template`): + - ``match_template_coalign`` function: A coalignment method that uses template matching. -2. **Template Matching Coalignment** (`sunkit_image.coalignment.match_template`): - - **``match_template_coalign`` function**: A registered coalignment method that performs coalignment using template matching. This method computes the translation needed to align the target image with the reference image, while assuming no change in rotation or scaling. +- **Decorator Utility** (`sunkit_image.coalignment.decorators`): + - ``register_coalignment_method`` decorator: Enables easy registration of coalignment methods. + - Global Registry: Maintains a dictionary of registered coalignment methods. -3. **Decorator Utility** (`sunkit_image.coalignment.decorators`): - - **``register_coalignment_method`` decorator**: Enables easy registration of coalignment methods by associating them with a name. - - **Global Registry**: Maintains a dictionary of all registered coalignment methods, allowing the :func:`~sunkit_image.coalignment.coalign` function to dynamically select and execute the desired method. +**Enhancements:** -Enhancements ------------- +- Improved Metadata Handling: Updates WCS metadata based on affine transformation parameters. +- User Warnings: Alerts users to significant spatial or temporal separations between maps. -- **Improved Metadata Handling**: The ``update_fits_wcs_metadata`` function (in `sunkit_image.coalignment.interface`) updates WCS metadata based on affine transformation parameters, ensuring accurate alignment of solar images. -- **User Warnings**: The ``warn_user_of_separation`` function (in `sunkit_image.coalignment.interface`) issues warnings when there are significant spatial or temporal separations between the reference and target maps, alerting users to avoid errors in the coalignment process. +**Documentation:** -Documentation -------------- +- All functions are well-documented in the API reference. -All functions are documented with clear and concise docstrings and can be found in the API reference. +**Examples** -Examples --------- - -Please find the examples related to the :ref:`adding of coalignment method ` and using a coalignment method here :ref:`sphx_glr_generated_gallery_aligning_aia_with_eis_maps.py` +- Please find the examples related to the :ref:`adding of coalignment method ` and using a +coalignment method here :ref:`sphx_glr_generated_gallery_aligning_aia_with_eis_maps.py` + \ No newline at end of file From a775b27113f93495082c0426253fac08ab4056b6 Mon Sep 17 00:00:00 2001 From: Jayraj Dulange <117574289+Deus1704@users.noreply.github.com> Date: Fri, 23 Aug 2024 22:30:28 +0530 Subject: [PATCH 59/68] Apply suggestions from code review Co-authored-by: Nabil Freij Co-authored-by: Will Barnes --- changelog/207.breaking.rst | 8 ++++---- docs/code_ref/coalignment.rst | 9 ++++++--- sunkit_image/coalignment/interface.py | 6 +++--- sunkit_image/coalignment/tests/test_coalignment.py | 3 +-- 4 files changed, 14 insertions(+), 12 deletions(-) diff --git a/changelog/207.breaking.rst b/changelog/207.breaking.rst index a306f202..c8649df6 100644 --- a/changelog/207.breaking.rst +++ b/changelog/207.breaking.rst @@ -1,6 +1,7 @@ -**New Coalignment API `sunkit_image.coalignment`** +**New Coalignment API in sunkit_image.coalignment** -The new coalignment API, developed as part of the GSoC 2024 project, addresses the need for a more precise and flexible approach to image coalignment within the `sunkit_image.coalignment` module. As solar imaging data continues to grow in complexity, the existing coalignment methods from ``sunpy.image.coalignment`` and ``sunpy.physics.solar_rotation`` were found to be scattered and lacked a unified interface, leading to confusion and redundant code. +The new coalignment API, developed as part of GSoC 2024, addresses the need for a more precise and flexible approach to image coalignment within the `sunkit_image.coalignment` module. +As solar imaging data continues to grow in complexity, the existing coalignment methods from ``sunpy.image.coalignment`` and ``sunpy.physics.solar_rotation`` were found to be scattered and lacked a unified interface, leading to confusion and redundant code. **New Features:** @@ -27,5 +28,4 @@ The new coalignment API, developed as part of the GSoC 2024 project, addresses t **Examples** - Please find the examples related to the :ref:`adding of coalignment method ` and using a -coalignment method here :ref:`sphx_glr_generated_gallery_aligning_aia_with_eis_maps.py` - \ No newline at end of file +coalignment method here :ref:`sphx_glr_generated_gallery_aligning_aia_with_eis_maps.py` \ No newline at end of file diff --git a/docs/code_ref/coalignment.rst b/docs/code_ref/coalignment.rst index 1d9d2107..8381ab05 100644 --- a/docs/code_ref/coalignment.rst +++ b/docs/code_ref/coalignment.rst @@ -1,9 +1,12 @@ Coalignment Package ******************* -``sunpy.coalignment`` provides routines to perform coalignment of solar images. The main entry point is the ``coalign`` function, which accepts a reference map, a target map, and a specified method -for coalignment. This method returns a new map with updated metadata reflecting the applied affine transformations, such as scaling, rotation, and translation. -The module supports various transformation methods registered via the ``register_coalignment_method`` decorator, allowing for flexible coalignment strategies based on the specific needs of the data. +`sunkit_image.coalignment` provides routines to perform coalignment of solar images. + +The main entry point is the `~sunkit_image.coalignment.coalign` function, which accepts a reference map, a target map, and a specified method for coalignment. +This method returns a new map with updated metadata reflecting the applied affine transformations, such as scaling, rotation, and translation. + +The module supports various transformation methods registered via the `~sunkit_image.coalignment.decorators.register_coalignment_method` decorator, allowing for flexible coalignment strategies based on the specific needs of the data. .. automodapi:: sunkit_image.coalignment diff --git a/sunkit_image/coalignment/interface.py b/sunkit_image/coalignment/interface.py index 581a790f..6a4cb30f 100644 --- a/sunkit_image/coalignment/interface.py +++ b/sunkit_image/coalignment/interface.py @@ -10,7 +10,7 @@ from sunkit_image.coalignment.decorators import registered_methods -__all__ = ["coalign", "AffineParams"] +__all__ = ["AffineParams"] class AffineParams(NamedTuple): @@ -28,7 +28,7 @@ class AffineParams(NamedTuple): translation: tuple[float, float] -def update_fits_wcs_metadata(reference_map, target_map, AffineParams): +def update_fits_wcs_metadata(reference_map, target_map, affine_params): """ Update the metadata of a sunpy Map object based on affine transformation parameters. @@ -89,7 +89,7 @@ def warn_user_of_separation(reference_map,target_map): """ ref_coord = SkyCoord(reference_map.observer_coordinate) target_coord = SkyCoord(target_map.observer_coordinate) - angular_separation = ref_coord.separation(target_coord) + angular_separation = ref_coord.separation(target_coord, origin_mismatch="ignore") if angular_separation > (1*u.deg): warnings.warn(## warn due to large angular separation "The angular separation between the reference and target maps is large. " diff --git a/sunkit_image/coalignment/tests/test_coalignment.py b/sunkit_image/coalignment/tests/test_coalignment.py index f46adc58..60555481 100644 --- a/sunkit_image/coalignment/tests/test_coalignment.py +++ b/sunkit_image/coalignment/tests/test_coalignment.py @@ -28,7 +28,6 @@ def eis_test_map(): def test_coalignment(eis_test_map): aia193_test_map = sunpy.map.Map(Fido.fetch(Fido.search(a.Time(start=eis_test_map.meta["date_beg"], near=eis_test_map.meta["date_avg"], end=eis_test_map.meta["date_end"]), a.Instrument('aia'), a.Wavelength(193*u.angstrom)))) # Synchronize rsun to reduce transformation issues - aia193_test_map.meta['rsun_obs'] = eis_test_map.meta['dsun_obs']/2 nx = (aia193_test_map.scale.axis1 * aia193_test_map.dimensions.x) / eis_test_map.scale[0] ny = (aia193_test_map.scale.axis2 * aia193_test_map.dimensions.y) / eis_test_map.scale[1] aia193_test_downsampled_map = aia193_test_map.resample(u.Quantity([nx, ny])) @@ -97,7 +96,7 @@ def test_coalignment_reflects_scaling(cutout_map, aia171_test_map): @pytest.fixture() @register_coalignment_method("rotation") -def coalign_scaling(reference_map, target_map): +def coalign_rotation(reference_map, target_map): rotation_matrix = np.array([[0.866, -0.5], [0.5, 0.866]]) return AffineParams(scale=np.array([1.0, 1.0]), rotation_matrix= rotation_matrix, translation=(0 , 0)) From 7d130bf75047180d8b85e22be20b07b33b2adc49 Mon Sep 17 00:00:00 2001 From: Jayraj Dulange Date: Sat, 24 Aug 2024 07:06:49 +0000 Subject: [PATCH 60/68] fix the test fails and internalized funcs --- sunkit_image/coalignment/interface.py | 14 +++++++------- sunkit_image/coalignment/tests/test_coalignment.py | 3 --- 2 files changed, 7 insertions(+), 10 deletions(-) diff --git a/sunkit_image/coalignment/interface.py b/sunkit_image/coalignment/interface.py index 6a4cb30f..268cf976 100644 --- a/sunkit_image/coalignment/interface.py +++ b/sunkit_image/coalignment/interface.py @@ -28,7 +28,7 @@ class AffineParams(NamedTuple): translation: tuple[float, float] -def update_fits_wcs_metadata(reference_map, target_map, affine_params): +def _update_fits_wcs_metadata(reference_map, target_map, affine_params): """ Update the metadata of a sunpy Map object based on affine transformation parameters. @@ -39,7 +39,7 @@ def update_fits_wcs_metadata(reference_map, target_map, affine_params): The reference map object to which the target map is to be coaligned. target_map : `sunpy.map.Map` The original map object whose metadata is to be updated. - AffineParams : object + affine_params : object An object containing the affine transformation parameters. This object must have attributes for translation (dx, dy), scale, and rotation. @@ -50,9 +50,9 @@ def update_fits_wcs_metadata(reference_map, target_map, affine_params): """ # Extacting the affine parameters pc_matrix = target_map.rotation_matrix - translation = AffineParams.translation - scale = AffineParams.scale - rotation_matrix = AffineParams.rotation_matrix + translation = affine_params.translation + scale = affine_params.scale + rotation_matrix = affine_params.rotation_matrix # Updating the PC matrix new_pc_matrix = pc_matrix @ rotation_matrix # Calculate the new reference pixel. @@ -75,7 +75,7 @@ def update_fits_wcs_metadata(reference_map, target_map, affine_params): return fixed_map -def warn_user_of_separation(reference_map,target_map): +def _warn_user_of_separation(reference_map,target_map): """ Issues a warning if the separation between the reference and target maps is large. @@ -152,4 +152,4 @@ def coalign(reference_map, target_map, method='match_template'): warn_user_of_separation(reference_map, target_map) AffineParams = registered_methods[method](reference_array, target_array) - return update_fits_wcs_metadata(reference_map, target_map, AffineParams) + return _update_fits_wcs_metadata(reference_map, target_map, AffineParams) diff --git a/sunkit_image/coalignment/tests/test_coalignment.py b/sunkit_image/coalignment/tests/test_coalignment.py index 60555481..676a26a8 100644 --- a/sunkit_image/coalignment/tests/test_coalignment.py +++ b/sunkit_image/coalignment/tests/test_coalignment.py @@ -24,10 +24,8 @@ def eis_test_map(): @pytest.mark.remote_data() -@pytest.mark.filterwarnings("ignore:transforming other coordinates:astropy.coordinates.errors.NonRotationTransformationWarning") def test_coalignment(eis_test_map): aia193_test_map = sunpy.map.Map(Fido.fetch(Fido.search(a.Time(start=eis_test_map.meta["date_beg"], near=eis_test_map.meta["date_avg"], end=eis_test_map.meta["date_end"]), a.Instrument('aia'), a.Wavelength(193*u.angstrom)))) - # Synchronize rsun to reduce transformation issues nx = (aia193_test_map.scale.axis1 * aia193_test_map.dimensions.x) / eis_test_map.scale[0] ny = (aia193_test_map.scale.axis2 * aia193_test_map.dimensions.y) / eis_test_map.scale[1] aia193_test_downsampled_map = aia193_test_map.resample(u.Quantity([nx, ny])) @@ -50,7 +48,6 @@ def test_coalignment_reflects_pixel_shifts(cutout_map, aia171_test_map): """Check if coalignment adjusts world coordinates as expected based on reference coordinate shifts.""" messed_map = cutout_map.shift_reference_coord(25 * u.arcsec, 50 * u.arcsec) original_world_coords = cutout_map.reference_coordinate - # shifted_world_coords = messed_map.reference_coordinate fixed_cutout_map = coalign(aia171_test_map, messed_map) fixed_world_coords = fixed_cutout_map.reference_coordinate # The actual shifts applied by coalignment should be equal to the expected shifts From 33b942864710dd12f7403c320c61f8f2bba39372 Mon Sep 17 00:00:00 2001 From: Jayraj Dulange Date: Sat, 24 Aug 2024 07:43:08 +0000 Subject: [PATCH 61/68] added the url for eis raster --- examples/aligning_aia_with_eis_maps.py | 4 +++- sunkit_image/coalignment/interface.py | 2 +- sunkit_image/coalignment/tests/test_coalignment.py | 5 ++++- 3 files changed, 8 insertions(+), 3 deletions(-) diff --git a/examples/aligning_aia_with_eis_maps.py b/examples/aligning_aia_with_eis_maps.py index 1e5c03e3..19889586 100644 --- a/examples/aligning_aia_with_eis_maps.py +++ b/examples/aligning_aia_with_eis_maps.py @@ -5,6 +5,7 @@ This example shows how to EISA data to AIA using cross-correlation which is implemented as the "match_template" method. """ +# sphinx_gallery_thumbnail_number = 2 # NOQA: ERA001 import matplotlib.pyplot as plt @@ -18,7 +19,8 @@ ################################################################################### # Firstly, let us acquire the EIS and AIA data we need for this example. -eis_map = sunpy.map.Map(get_test_filepath("eis_20140108_095727.fe_12_195_119.2c-0.int.fits")) +with fits.open ("https://github.com/sunpy/data/raw/main/sunkit-image/eis_20140108_095727.fe_12_195_119.2c-0.int.fits") as hdul: + eis_map = sunpy.map.Map(hdul[0].data, hdul[0].header) eis_map.plot() ################################################################################### diff --git a/sunkit_image/coalignment/interface.py b/sunkit_image/coalignment/interface.py index 268cf976..10c2b26d 100644 --- a/sunkit_image/coalignment/interface.py +++ b/sunkit_image/coalignment/interface.py @@ -149,7 +149,7 @@ def coalign(reference_map, target_map, method='match_template'): target_array = target_map.data reference_array = reference_map.data - warn_user_of_separation(reference_map, target_map) + _warn_user_of_separation(reference_map, target_map) AffineParams = registered_methods[method](reference_array, target_array) return _update_fits_wcs_metadata(reference_map, target_map, AffineParams) diff --git a/sunkit_image/coalignment/tests/test_coalignment.py b/sunkit_image/coalignment/tests/test_coalignment.py index 676a26a8..d98f2b0f 100644 --- a/sunkit_image/coalignment/tests/test_coalignment.py +++ b/sunkit_image/coalignment/tests/test_coalignment.py @@ -6,6 +6,7 @@ from scipy.ndimage import shift as sp_shift import astropy.units as u +from astropy.io import fits from astropy.coordinates import SkyCoord import sunpy.map @@ -20,7 +21,9 @@ @pytest.fixture() def eis_test_map(): - return sunpy.map.Map(get_test_filepath("eis_20140108_095727.fe_12_195_119.2c-0.int.fits")) + url = "https://github.com/sunpy/data/raw/main/sunkit-image/eis_20140108_095727.fe_12_195_119.2c-0.int.fits" + with fits.open(url) as hdul: + return sunpy.map.Map(hdul[0].data, hdul[0].header) @pytest.mark.remote_data() From 2aa5e72c4c9f159ae41088c01b45935a809e1315 Mon Sep 17 00:00:00 2001 From: Jayraj Dulange Date: Sat, 24 Aug 2024 07:48:14 +0000 Subject: [PATCH 62/68] forgot --- examples/aligning_aia_with_eis_maps.py | 1 + 1 file changed, 1 insertion(+) diff --git a/examples/aligning_aia_with_eis_maps.py b/examples/aligning_aia_with_eis_maps.py index 19889586..a661409b 100644 --- a/examples/aligning_aia_with_eis_maps.py +++ b/examples/aligning_aia_with_eis_maps.py @@ -10,6 +10,7 @@ import matplotlib.pyplot as plt import astropy.units as u +from astropy.io import fits from astropy.visualization import ImageNormalize, AsinhStretch from sunpy.net import Fido ,attrs as a import sunpy.map From 8f26dcbb555b17a2020cec61e8b8087521b63583 Mon Sep 17 00:00:00 2001 From: Jayraj Dulange Date: Sat, 24 Aug 2024 21:46:24 +0000 Subject: [PATCH 63/68] clean up old raster and few lint fixes --- changelog/207.breaking.rst | 2 +- docs/code_ref/coalignment.rst | 6 ++-- sunkit_image/coalignment/interface.py | 29 +++++++++++------- sunkit_image/coalignment/match_template.py | 2 -- ...0140108_095727.fe_12_195_119.2c-0.int.fits | Bin 996480 -> 0 bytes 5 files changed, 22 insertions(+), 17 deletions(-) delete mode 100644 sunkit_image/data/test/eis_20140108_095727.fe_12_195_119.2c-0.int.fits diff --git a/changelog/207.breaking.rst b/changelog/207.breaking.rst index c8649df6..29cde56d 100644 --- a/changelog/207.breaking.rst +++ b/changelog/207.breaking.rst @@ -28,4 +28,4 @@ As solar imaging data continues to grow in complexity, the existing coalignment **Examples** - Please find the examples related to the :ref:`adding of coalignment method ` and using a -coalignment method here :ref:`sphx_glr_generated_gallery_aligning_aia_with_eis_maps.py` \ No newline at end of file +coalignment method here :ref:`sphx_glr_generated_gallery_aligning_aia_with_eis_maps.py` diff --git a/docs/code_ref/coalignment.rst b/docs/code_ref/coalignment.rst index 8381ab05..5de8c607 100644 --- a/docs/code_ref/coalignment.rst +++ b/docs/code_ref/coalignment.rst @@ -1,10 +1,10 @@ Coalignment Package ******************* -`sunkit_image.coalignment` provides routines to perform coalignment of solar images. +`sunkit_image.coalignment` provides routines to perform coalignment of solar images. The main entry point is the `~sunkit_image.coalignment.coalign` function, which accepts a reference map, a target map, and a specified method for coalignment. -This method returns a new map with updated metadata reflecting the applied affine transformations, such as scaling, rotation, and translation. +This method returns a new map with updated metadata reflecting the applied affine transformations, such as scaling, rotation, and translation. The module supports various transformation methods registered via the `~sunkit_image.coalignment.decorators.register_coalignment_method` decorator, allowing for flexible coalignment strategies based on the specific needs of the data. @@ -14,4 +14,4 @@ The module supports various transformation methods registered via the `~sunkit_i .. automodapi:: sunkit_image.coalignment.match_template -.. automodapi:: sunkit_image.coalignment.decorators \ No newline at end of file +.. automodapi:: sunkit_image.coalignment.decorators diff --git a/sunkit_image/coalignment/interface.py b/sunkit_image/coalignment/interface.py index 10c2b26d..262bc824 100644 --- a/sunkit_image/coalignment/interface.py +++ b/sunkit_image/coalignment/interface.py @@ -1,12 +1,13 @@ import warnings from typing import NamedTuple + import numpy as np import astropy.units as u from astropy.coordinates import SkyCoord -from sunpy.util.exceptions import SunpyUserWarning from sunpy.sun.models import differential_rotation +from sunpy.util.exceptions import SunpyUserWarning from sunkit_image.coalignment.decorators import registered_methods @@ -15,7 +16,8 @@ class AffineParams(NamedTuple): """ - A 2-element tuple containing scale values defining the image scaling along the x and y axes. + A 2-element tuple containing scale values defining the image scaling along + the x and y axes. """ scale: tuple[float, float] """ @@ -23,7 +25,8 @@ class AffineParams(NamedTuple): """ rotation_matrix: tuple[tuple[float, float], tuple[float, float]] """ - A 2-element tuple stores the translation of the image along the x and y axes. + A 2-element tuple stores the translation of the image along the x and y + axes. """ translation: tuple[float, float] @@ -55,7 +58,7 @@ def _update_fits_wcs_metadata(reference_map, target_map, affine_params): rotation_matrix = affine_params.rotation_matrix # Updating the PC matrix new_pc_matrix = pc_matrix @ rotation_matrix - # Calculate the new reference pixel. + # Calculate the new reference pixel. old_reference_pixel = np.array([target_map.reference_pixel.x.value, target_map.reference_pixel.y.value]) new_reference_pixel = scale*rotation_matrix @ old_reference_pixel + translation reference_coord = reference_map.wcs.pixel_to_world(new_reference_pixel[0],new_reference_pixel[1]) @@ -87,11 +90,13 @@ def _warn_user_of_separation(reference_map,target_map): target_map : `sunpy.map.Map` The target map to be coaligned to the reference map. """ + # Maximum angular separation allowed between the reference and target maps + tolerable_angular_separation = 1*u.deg ref_coord = SkyCoord(reference_map.observer_coordinate) target_coord = SkyCoord(target_map.observer_coordinate) angular_separation = ref_coord.separation(target_coord, origin_mismatch="ignore") - if angular_separation > (1*u.deg): - warnings.warn(## warn due to large angular separation + if angular_separation > tolerable_angular_separation: + warnings.warn( "The angular separation between the reference and target maps is large. " "This could cause errors when calculating shift between two " "images. Please make sure the maps are close in space.", @@ -103,8 +108,8 @@ def _warn_user_of_separation(reference_map,target_map): target_time = target_map.date time_diff = abs(ref_time - target_time) time_separation_angle = differential_rotation(time_diff.to(u.day), reference_map.center.Tx, model='howard') - if time_separation_angle > (1*u.deg): - warnings.warn(## warn due to large time separation + if time_separation_angle > tolerable_angular_separation: + warnings.warn( "The time difference between the reference and target maps in time is large. " "This could cause errors when calculating shift between two " "images. Please make sure the maps are close in time.", @@ -115,14 +120,16 @@ def _warn_user_of_separation(reference_map,target_map): def coalign(reference_map, target_map, method='match_template'): """ - Performs image coalignment using a specified method (defaults to `~sunkit_image.coalignment.match_template.match_template_coalign`). - This function updates the metadata of the target map to align it with the reference map. + Performs image coalignment using a specified method (defaults to + `~sunkit_image.coalignment.match_template.match_template_coalign`). This + function updates the metadata of the target map to align it with the + reference map. .. note:: * This function is intended to correct maps with known incorrect metadata. It is not designed to address issues like differential rotation or changes in observer location, which are encoded in the coordinate metadata. * The function modifies the metadata of the map, not the underlying array data. For adjustments that involve coordinate transformations, consider using `~sunpy.map.GenericMap.reproject_to` instead. - + Parameters ---------- reference_map : `sunpy.map.Map` diff --git a/sunkit_image/coalignment/match_template.py b/sunkit_image/coalignment/match_template.py index 3c39196c..33dde80e 100644 --- a/sunkit_image/coalignment/match_template.py +++ b/sunkit_image/coalignment/match_template.py @@ -1,8 +1,6 @@ import numpy as np from skimage.feature import match_template -import astropy.units as u - from sunkit_image.coalignment.decorators import register_coalignment_method from sunkit_image.coalignment.interface import AffineParams diff --git a/sunkit_image/data/test/eis_20140108_095727.fe_12_195_119.2c-0.int.fits b/sunkit_image/data/test/eis_20140108_095727.fe_12_195_119.2c-0.int.fits deleted file mode 100644 index 4857957c3367fe325724a0149edab02ee1aa1dc3..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 996480 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