예제 #1
0
 def test_crop_flip_complex(self, resources):
     expected_result = resources / "imforge" / "crop" / "expected" / "cv2" / "crop_flip_complex.png"
     crop_box = [(15, 8), (-15, 50), (200, 200), (450, 161), (368, 78)]
     image = cv2.imread(str(resources / "some_text.jpg"), cv2.IMREAD_UNCHANGED)
     cropped_image = crop_cv2(image, crop_box, fillcolor=(255, 0, 255), cut_out=True, clip=True)
     # Use PIL image for saving and comparison of result
     cropped_image = Image.fromarray(cv2.cvtColor(cropped_image, cv2.COLOR_BGR2RGB), "RGB")
     if self.DEBUG:
         cropped_image.show()
         if not expected_result.exists():
             cropped_image.save(expected_result, optimize=True)
     image_bytes = BytesIO()
     cropped_image.save(image_bytes, format="png", optimize=True)
     image_bytes.seek(0)
     assert image_bytes.read() == expected_result.read_bytes()
예제 #2
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 def test_crop_near_edge(self, resources):
     expected_result = resources / "imforge" / "crop" / "expected" / "cv2" / "crop_near_edge.png"
     crop_box = [(102, 750), (101, 529), (324, 528), (322, 750)]
     image = cv2.imread(str(resources / "qrcode_multi.png"), cv2.IMREAD_UNCHANGED)
     cropped_image = crop_cv2(image, crop_box, fillcolor=(255, 0, 255))
     # Use PIL image for saving and comparison of result
     cropped_image = Image.fromarray(cv2.cvtColor(cropped_image, cv2.COLOR_BGR2RGB), "RGB")
     if self.DEBUG:
         cropped_image.show()
         if not expected_result.exists():
             cropped_image.save(expected_result, optimize=True)
     image_bytes = BytesIO()
     cropped_image.save(image_bytes, format="png", optimize=True)
     image_bytes.seek(0)
     assert image_bytes.read() == expected_result.read_bytes()
예제 #3
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 def test_full_clip(self, resources):
     expected_result = resources / "imforge" / "crop" / "expected" / "cv2" / "full_clip.png"
     crop_box = [(-10, -10), (400, -10), (400, 200), (-10, 200)]
     image = cv2.imread(str(resources / "some_text.jpg"), cv2.IMREAD_UNCHANGED)
     cropped_image = crop_cv2(image, crop_box, clip=True)
     # Use PIL image for saving and comparison of result
     cropped_image = Image.fromarray(cv2.cvtColor(cropped_image, cv2.COLOR_BGR2RGB), "RGB")
     if self.DEBUG:
         cropped_image.show()
         if not expected_result.exists():
             cropped_image.save(expected_result, optimize=True)
     image_bytes = BytesIO()
     cropped_image.save(image_bytes, format="png", optimize=True)
     image_bytes.seek(0)
     assert image_bytes.read() == expected_result.read_bytes()