sync with doctr

onnxtr/models/predictor/base.py

@@ -9,7 +9,7 @@
 
 from onnxtr.models.builder import DocumentBuilder
 from onnxtr.models.engine import EngineConfig
-from onnxtr.utils.geometry import extract_crops, extract_rcrops, rotate_image
+from onnxtr.utils.geometry import extract_crops, extract_rcrops, remove_image_padding, rotate_image
 
 from .._utils import estimate_orientation, rectify_crops, rectify_loc_preds
 from ..classification import crop_orientation_predictor, page_orientation_predictor
@@ -112,8 +112,8 @@ def _straighten_pages(
             ]
         )
         return [
-            # expand if height and width are not equal
-            rotate_image(page, angle, expand=page.shape[0] != page.shape[1])
+            # expand if height and width are not equal, afterwards remove padding
+            remove_image_padding(rotate_image(page, angle, expand=page.shape[0] != page.shape[1]))
             for page, angle in zip(pages, origin_pages_orientations)
         ]
 

onnxtr/utils/geometry.py

@@ -391,6 +391,26 @@ def rotate_image(
     return rot_img
 
 
+def remove_image_padding(image: np.ndarray) -> np.ndarray:
+    """Remove black border padding from an image
+
+    Args:
+    ----
+        image: numpy tensor to remove padding from
+
+    Returns:
+    -------
+        Image with padding removed
+    """
+    # Find the bounding box of the non-black region
+    rows = np.any(image, axis=1)
+    cols = np.any(image, axis=0)
+    rmin, rmax = np.where(rows)[0][[0, -1]]
+    cmin, cmax = np.where(cols)[0][[0, -1]]
+
+    return image[rmin : rmax + 1, cmin : cmax + 1]
+
+
 def estimate_page_angle(polys: np.ndarray) -> float:
     """Takes a batch of rotated previously ORIENTED polys (N, 4, 2) (rectified by the classifier) and return the
     estimated angle ccw in degrees

tests/common/test_utils_geometry.py

@@ -167,6 +167,17 @@ def test_rotate_image():
     assert rotated[0, :, 0].sum() <= 1
 
 
+def test_remove_image_padding():
+    img = np.ones((32, 64, 3), dtype=np.float32)
+    padded = np.pad(img, ((10, 10), (20, 20), (0, 0)))
+    cropped = geometry.remove_image_padding(padded)
+    assert np.all(cropped == img)
+
+    # No padding
+    cropped = geometry.remove_image_padding(img)
+    assert np.all(cropped == img)
+
+
 @pytest.mark.parametrize(
     "abs_geoms, img_size, rel_geoms",
     [