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space_clip_editor_autotracker.py
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space_clip_editor_autotracker.py
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# ##### BEGIN GPL LICENSE BLOCK #####
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software Foundation,
# Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
#
# ##### END GPL LICENSE BLOCK #####
bl_info = {
"name": "Autotrack",
"author": "Miika Puustinen, Matti Kaihola, Stephen Leger",
"version": (0, 1, 1),
"blender": (2, 78, 0),
"location": "Movie clip Editor > Tools Panel > Autotrack",
"description": "Motion Tracking with automatic feature detection.",
"warning": "",
"doc_url": "https://github.com/miikapuustinen/blender_autotracker",
"category": "Video Tools",
}
import bpy
import bgl
import blf
from bpy.types import (
Operator,
Panel,
PropertyGroup,
WindowManager,
)
from bpy.props import (
BoolProperty,
FloatProperty,
IntProperty,
EnumProperty,
PointerProperty,
)
# for debug purposes
import time
# set to True to enable debug prints
DEBUG = False
# pass variables just like for the regular prints
def debug_print(*args, **kwargs):
global DEBUG
if DEBUG:
print(*args, **kwargs)
# http://blenderscripting.blogspot.ch/2011/07/bgl-drawing-with-opengl-onto-blender-25.html
class GlDrawOnScreen():
black = (0.0, 0.0, 0.0, 0.7)
white = (1.0, 1.0, 1.0, 0.5)
progress_colour = (0.2, 0.7, 0.2, 0.5)
def String(self, text, x, y, size, colour):
''' my_string : the text we want to print
pos_x, pos_y : coordinates in integer values
size : font height.
colour : used for defining the colour'''
dpi, font_id = 72, 0 # dirty fast assignment
bgl.glColor4f(*colour)
blf.position(font_id, x, y, 0)
blf.size(font_id, size, dpi)
blf.draw(font_id, text)
def _end(self):
bgl.glEnd()
bgl.glPopAttrib()
bgl.glLineWidth(1)
bgl.glDisable(bgl.GL_BLEND)
bgl.glColor4f(0.0, 0.0, 0.0, 1.0)
def _start_line(self, colour, width=2, style=None):
if style is None:
# NOTE: this is no longer supported in Blender3.0.
# style = bgl.GL_LINE_STIPPLE
style = bgl.GL_LINE
bgl.glPushAttrib(bgl.GL_ENABLE_BIT)
bgl.glLineStipple(1, 0x9999)
bgl.glEnable(style)
bgl.glEnable(bgl.GL_BLEND)
bgl.glColor4f(*colour)
bgl.glLineWidth(width)
bgl.glBegin(bgl.GL_LINE_STRIP)
def Rectangle(self, x0, y0, x1, y1, colour, width=2, style=bgl.GL_LINE):
self._start_line(colour, width, style)
bgl.glVertex2i(x0, y0)
bgl.glVertex2i(x1, y0)
bgl.glVertex2i(x1, y1)
bgl.glVertex2i(x0, y1)
bgl.glVertex2i(x0, y0)
self._end()
def Polygon(self, pts, colour):
bgl.glPushAttrib(bgl.GL_ENABLE_BIT)
bgl.glEnable(bgl.GL_BLEND)
bgl.glColor4f(*colour)
bgl.glBegin(bgl.GL_POLYGON)
for pt in pts:
x, y = pt
bgl.glVertex2f(x, y)
self._end()
def ProgressBar(self, x, y, width, height, start, percent):
x1, y1 = x + width, y + height
# progress from current point to either start or end
xs = x + (x1 - x) * float(start)
if percent > 0:
# going forward
xi = xs + (x1 - xs) * float(percent)
else:
# going backward
xi = xs - (x - xs) * float(percent)
self.Polygon([(xs, y), (xs, y1), (xi, y1), (xi, y)], self.progress_colour)
self.Rectangle(x, y, x1, y1, self.white, width=1)
def draw_callback(self, context):
self.gl.ProgressBar(10, 24, 200, 16, self.start, self.progress)
self.gl.String(str(int(100 * abs(self.progress))) + "% ESC to Stop", 14, 28, 10, self.gl.white)
class OP_Tracking_auto_tracker(Operator):
bl_idname = "tracking.auto_track"
bl_label = "AutoTracking"
bl_description = ("Start Autotracking, Press Esc to Stop \n"
"When stopped, the added Track Markers will be kept")
_timer = None
_draw_handler = None
gl = GlDrawOnScreen()
progress = 0
limits = 0
t = 0
def find_track_start(self, track):
for m in track.markers:
if not m.mute:
return m.frame
return track.markers[0].frame
def find_track_end(self, track):
for m in reversed(track.markers):
if not m.mute:
return m.frame
return track.markers[-1].frame - 1
def find_track_length(self, track):
tstart = self.find_track_start(track)
tend = self.find_track_end(track)
return tend - tstart
def show_tracks(self, context):
clip = context.area.spaces.active.clip
tracks = clip.tracking.tracks
for track in tracks:
track.hide = False
def get_vars_from_context(self, context):
scene = context.scene
props = context.window_manager.autotracker_props
clip = context.area.spaces.active.clip
tracks = clip.tracking.tracks
current_frame = scene.frame_current
clip_end = clip.frame_start + clip.frame_duration
clip_start = clip.frame_start
if props.track_backwards:
last_frame = min(clip_end, current_frame + props.frame_separation)
else:
last_frame = max(clip_start, current_frame - props.frame_separation)
return scene, props, clip, tracks, current_frame, last_frame
def delete_tracks(self, to_delete):
bpy.ops.clip.select_all(action='DESELECT')
for track in to_delete:
track.select = True
bpy.ops.clip.delete_track()
# DETECT FEATURES
def auto_features(self, context):
"""
Detect features
"""
t = time.time()
scene, props, clip, tracks, current_frame, last_frame = self.get_vars_from_context(context)
selected = []
old = []
to_delete = []
width = clip.size[0]
delete_threshold = float(props.delete_threshold) / 100.0
bpy.ops.clip.select_all(action='DESELECT')
# Detect Features
bpy.ops.clip.detect_features(
threshold=props.df_threshold,
min_distance=props.df_distance / 100.0 * width,
margin=props.df_margin / 100.0 * width,
placement=props.placement_list
)
# filter new and old tracks
for track in tracks:
if track.hide or track.lock:
continue
marker = track.markers.find_frame(current_frame)
if marker is not None:
if (not track.select) and (not marker.mute):
old.append(track)
if track.select:
selected.append(track)
added_tracks = len(selected)
# Select overlapping new markers
for track_new in selected:
marker0 = track_new.markers.find_frame(current_frame)
for track_old in old:
marker1 = track_old.markers.find_frame(current_frame)
distance = (marker1.co - marker0.co).length
if distance < delete_threshold:
to_delete.append(track_new)
added_tracks -= 1
break
# Delete Overlapping Markers
self.delete_tracks(to_delete)
debug_print("auto_features %.4f seconds, add: %s tracks" % (time.time() - t, added_tracks))
# AUTOTRACK FRAMES
def track_frames_backward(self):
# INVOKE_DEFAULT to show progress and take account of frame_limit
t = time.time()
res = bpy.ops.clip.track_markers('INVOKE_DEFAULT', backwards=True, sequence=True)
debug_print("track_frames_backward %.2f seconds %s" % (time.time() - t, res))
def track_frames_forward(self):
# INVOKE_DEFAULT to show progress and take account of frame_limit
t = time.time()
res = bpy.ops.clip.track_markers('INVOKE_DEFAULT', backwards=False, sequence=True)
debug_print("track_frames_forward %.2f seconds %s" % (time.time() - t, res))
def get_active_tracks(self, context):
scene, props, clip, tracks, current_frame, last_frame = self.get_vars_from_context(context)
active_tracks = []
for track in tracks:
if track.hide or track.lock:
continue
if len(track.markers) < 2:
active_tracks.append(track)
else:
marker = track.markers.find_frame(current_frame)
if (marker is not None) and (not marker.mute):
active_tracks.append(track)
return active_tracks
def select_active_tracks(self, context):
t = time.time()
scene, props, clip, tracks, current_frame, last_frame = self.get_vars_from_context(context)
# Select active trackers for tracking
bpy.ops.clip.select_all(action='DESELECT')
selected = self.get_active_tracks(context)
for track in selected:
track.select = True
debug_print("select_active_tracks %.2f seconds,"
" selected: %s" % (time.time() - t, len(selected)))
return selected
def estimate_motion(self, context, last, frame):
"""
compute mean pixel motion for current frame
TODO: use statistic here to make filtering more efficient
last : last frame number
frame: current frame number
return mean pixel distance error
"""
scene, props, clip, tracks, current_frame, last_frame = self.get_vars_from_context(context)
nbtracks = 0
distance = 0.0
for track in tracks:
if track.hide or track.lock:
continue
marker0 = track.markers.find_frame(frame)
marker1 = track.markers.find_frame(last)
if marker0 is not None and marker1 is not None:
d = (marker0.co - marker1.co).length
# skip fixed tracks
if d > 0:
distance += d
nbtracks += 1
if nbtracks > 0:
mean = distance / nbtracks
else:
# arbitrary set to prevent division by 0 error
mean = 10
return mean
# REMOVE SMALL TRACKS
def remove_small(self, context):
t = time.time()
scene, props, clip, tracks, current_frame, last_frame = self.get_vars_from_context(context)
to_delete = []
bpy.ops.clip.select_all(action='DESELECT')
for track in tracks:
if track.hide or track.lock:
continue
if len(track.markers) > 1:
marker = track.markers.find_frame(current_frame)
if marker is None and self.find_track_length(track) < props.small_tracks:
to_delete.append(track)
deleted_tracks = len(to_delete)
self.delete_tracks(to_delete)
debug_print("remove_small %.4f seconds, %s tracks deleted" % (time.time() - t, deleted_tracks))
def split_track(self, context, track, split_frame, skip=0):
scene, props, clip, tracks, current_frame, last_frame = self.get_vars_from_context(context)
if props.track_backwards:
end = scene.frame_start
step = -1
else:
end = scene.frame_end
step = 1
new_track = tracks.new(frame=split_frame)
for frame in range(split_frame, end, step):
marker = track.markers.find_frame(frame)
if marker is None:
return
# add new marker on new track for frame
if abs(frame - split_frame) >= skip:
new_marker = new_track.markers.find_frame(frame)
if new_marker is None:
new_marker = new_track.markers.insert_frame(frame)
new_marker.co = marker.co
# remove marker on track for frame
if frame == split_frame:
track.hide = True
else:
track.markers.delete_frame(frame)
marker.mute = True
# REMOVE JUMPING MARKERS
def remove_jumping(self, context):
t = time.time()
scene, props, clip, tracks, current_frame, last_frame = self.get_vars_from_context(context)
if props.track_backwards:
step = -1
else:
step = 1
to_split = [None for track in tracks]
for frame in range(last_frame, current_frame, step):
last = frame - step
# mean motion (normalized [0-1]) distance for tracks between last and current frame
mean = self.estimate_motion(context, last, frame)
# how much a track is allowed to move
allowed = mean * props.jump_cut
for i, track in enumerate(tracks):
if track.hide or track.lock:
continue
marker0 = track.markers.find_frame(frame)
marker1 = track.markers.find_frame(last)
if marker0 is not None and marker1 is not None:
distance = (marker0.co - marker1.co).length
# Jump Cut threshold
if distance > allowed:
if to_split[i] is None:
to_split[i] = [frame, frame]
else:
to_split[i][1] = frame
jumping = 0
for i, split in enumerate(to_split):
if split is not None:
self.split_track(context, tracks[i], split[0], abs(split[0] - split[1]))
jumping += 1
debug_print("remove_jumping: %.4f seconds, %s tracks cut." % (time.time() - t, jumping))
def get_frame_range(self, context):
"""
get tracking frames range
use clip limits when clip shorter than scene
else use scene limits
"""
scene, props, clip, tracks, current_frame, last_frame = self.get_vars_from_context(context)
frame_start = max(scene.frame_start, clip.frame_start)
frame_end = min(scene.frame_end, clip.frame_start + clip.frame_duration)
frame_duration = frame_end - frame_start
return frame_start, frame_end, frame_duration
def modal(self, context, event):
if event.type in {'ESC'}:
self.report({'INFO'},
"Stopping, up to now added Markers will be kept. Autotracking Finished")
self.cancel(context)
return {'FINISHED'}
scene, props, clip, tracks, current_frame, last_frame = self.get_vars_from_context(context)
frame_start, frame_end, frame_duration = self.get_frame_range(context)
if (((not props.track_backwards) and current_frame >= frame_end) or
(props.track_backwards and current_frame <= frame_start)):
self.report({'INFO'},
"Reached the end of the Clip. Autotracking Finished")
self.cancel(context)
return {'FINISHED'}
# do not run this modal while tracking operator runs
# Known issue, you'll have to keep ESC pressed
if event.type not in {'TIMER'} or context.scene.frame_current != self.next_frame:
return {'PASS_THROUGH'}
# prevent own TIMER event while running
self.stop_timer(context)
if props.track_backwards:
self.next_frame = scene.frame_current - props.frame_separation
total = self.start_frame - frame_start
else:
self.next_frame = scene.frame_current + props.frame_separation
total = frame_end - self.start_frame
if total > 0:
self.progress = (current_frame - self.start_frame) / total
else:
self.progress = 0
debug_print("Tracking frame %s" % (scene.frame_current))
# Remove bad tracks before adding new ones
self.remove_small(context)
self.remove_jumping(context)
# add new tracks
self.auto_features(context)
# Select active trackers for tracking
active_tracks = self.select_active_tracks(context)
# finish if there is nothing to track
if len(active_tracks) == 0:
self.report({'INFO'},
"No new tracks created, nothing to track. Autotrack Finished")
self.cancel(context)
return {'FINISHED'}
# setup frame_limit on tracks
for track in active_tracks:
track.frames_limit = 0
active_tracks[0].frames_limit = props.frame_separation
# Forwards or backwards tracking
if props.track_backwards:
self.track_frames_backward()
else:
self.track_frames_forward()
# setup a timer to broadcast a TIMER event to force modal to
# re-run as fast as possible (not waiting for any mouse or keyboard event)
self.start_timer(context)
return {'RUNNING_MODAL'}
def invoke(self, context, event):
scene = context.scene
frame_start, frame_end, frame_duration = self.get_frame_range(context)
if scene.frame_current > frame_end:
scene.frame_current = frame_end
elif scene.frame_current < frame_start:
scene.frame_current = frame_start
self.start_frame = scene.frame_current
self.start = (scene.frame_current - frame_start) / (frame_duration)
self.progress = 0
# keep track of frame at witch we should detect new features and filter tracks
self.next_frame = scene.frame_current
# draw progress
args = (self, context)
self._draw_handler = bpy.types.SpaceClipEditor.draw_handler_add(
draw_callback, args,
'WINDOW', 'POST_PIXEL'
)
self.start_timer(context)
context.window_manager.modal_handler_add(self)
return {'RUNNING_MODAL'}
def __init__(self):
self.t = time.time()
def __del__(self):
debug_print("AutoTrack %.2f seconds" % (time.time() - self.t))
def execute(self, context):
debug_print("Autotrack execute called")
return {'FINISHED'}
def stop_timer(self, context):
context.window_manager.event_timer_remove(self._timer)
def start_timer(self, context):
self._timer = context.window_manager.event_timer_add(time_step=0.1, window=context.window)
def cancel(self, context):
self.stop_timer(context)
self.show_tracks(context)
bpy.types.SpaceClipEditor.draw_handler_remove(self._draw_handler, 'WINDOW')
@classmethod
def poll(cls, context):
return (context.area.spaces.active.clip is not None)
class AutotrackerSettings(PropertyGroup):
"""Create properties"""
df_margin: FloatProperty(
name="Detect Features Margin",
description="Only consider features from pixels located outside\n"
"the defined margin from the clip borders",
subtype='PERCENTAGE',
default=5,
min=0,
max=100
)
df_threshold: FloatProperty(
name="Detect Features Threshold",
description="Threshold level to deem a feature being good enough for tracking",
default=0.3,
min=0.0,
max=1.0
)
# Note: merge this one with delete_threshold
df_distance: FloatProperty(
name="Detect Features Distance",
description="Minimal acceptable distance between two features",
subtype='PERCENTAGE',
default=8,
min=1,
max=100
)
delete_threshold: FloatProperty(
name="New Marker Threshold",
description="Threshold of how close a new features can appear during tracking",
subtype='PERCENTAGE',
default=8,
min=1,
max=100
)
small_tracks: IntProperty(
name="Minimum track length",
description="Delete tracks shorter than this number of frames\n"
"Note: set to 0 for keeping all tracks",
default=50,
min=1,
max=1000
)
frame_separation: IntProperty(
name="Frame Separation",
description="How often new features are generated",
default=5,
min=1,
max=100
)
jump_cut: FloatProperty(
name="Jump Cut",
description="How much distance a marker can travel before it is considered "
"to be a bad track and cut.\nA new track will be added "
"(factor relative to mean motion)",
default=5.0,
min=0.0,
max=50.0
)
track_backwards: BoolProperty(
name="AutoTrack Backwards",
description="Track from the last frame of the selected clip",
default=False
)
# Dropdown menu
list_items = [
("FRAME", "Whole Frame", "", 1),
("INSIDE_GPENCIL", "Inside Grease Pencil", "", 2),
("OUTSIDE_GPENCIL", "Outside Grease Pencil", "", 3),
]
placement_list: EnumProperty(
name="Placement",
description="Feature Placement",
items=list_items
)
"""
NOTE:
All size properties are in percent of the clip size,
so presets do not depend on the clip size
"""
class AutotrackerPanel(Panel):
"""Creates a Panel in the Render Layer properties window"""
bl_label = "Autotrack"
bl_idname = "autotrack"
bl_space_type = 'CLIP_EDITOR'
bl_region_type = 'TOOLS'
bl_category = "Track"
@classmethod
def poll(cls, context):
return (context.area.spaces.active.clip is not None)
def draw(self, context):
layout = self.layout
wm = context.window_manager
row = layout.row()
row.scale_y = 1.5
row.operator("tracking.auto_track", text="Autotrack! ", icon='PLAY')
row = layout.row()
row.prop(wm.autotracker_props, "track_backwards")
row = layout.row()
col = layout.column(align=True)
col.prop(wm.autotracker_props, "delete_threshold")
col.prop(wm.autotracker_props, "small_tracks")
col.prop(wm.autotracker_props, "frame_separation", text="Frame Separation")
col.prop(wm.autotracker_props, "jump_cut", text="Jump Threshold")
row = layout.row()
row.label(text="Detect Features Settings:")
col = layout.column(align=True)
col.prop(wm.autotracker_props, "df_margin", text="Margin:")
col.prop(wm.autotracker_props, "df_distance", text="Distance:")
col.prop(wm.autotracker_props, "df_threshold", text="Threshold:")
row = layout.row()
row.label(text="Feature Placement:")
col = layout.column(align=True)
col.prop(wm.autotracker_props, "placement_list", text="")
def register():
bpy.utils.register_class(AutotrackerSettings)
WindowManager.autotracker_props = PointerProperty(
type=AutotrackerSettings
)
bpy.utils.register_module(__name__)
def unregister():
bpy.utils.unregister_class(AutotrackerSettings)
bpy.utils.unregister_module(__name__)
del WindowManager.autotracker_props
if __name__ == "__main__":
register()