Update detect_crop_image.py
Browse files- detect_crop_image.py +5 -59
detect_crop_image.py
CHANGED
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@@ -91,66 +91,12 @@ def detect_and_crop_image(image_path, output_image_path=None):
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if zoom_inset > 0:
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print(f"Smart Zoom applied: {zoom_inset}px inset to clear rounded corners.")
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prop_y_min = y
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prop_x_max = x + w
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prop_y_max = y + h
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def validate_crop(region, border_region, threshold=0.75):
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if region.size == 0:
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return False
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# 1. Edge must be solid white or black
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if border_region.size > 0:
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dark_edge = np.count_nonzero(border_region < 20) / border_region.size
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light_edge = np.count_nonzero(border_region > 235) / border_region.size
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if dark_edge < threshold and light_edge < threshold:
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return False
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# 2. Region must be mostly white/black (allows text)
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dark_region = np.count_nonzero(region < 20)
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light_region = np.count_nonzero(region > 235)
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region_ratio = (dark_region + light_region) / region.size
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if region_ratio < 0.65:
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return False
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return True
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# Validate Top Crop
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if prop_y_min > 0:
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top_region = gray[0:prop_y_min, :]
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top_border = gray[0:min(2, prop_y_min), :]
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if not validate_crop(top_region, top_border):
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prop_y_min = 0
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# Validate Bottom Crop
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if prop_y_max < img_h:
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bottom_region = gray[prop_y_max:img_h, :]
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bottom_border = gray[max(img_h-2, prop_y_max):img_h, :]
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if not validate_crop(bottom_region, bottom_border):
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prop_y_max = img_h
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# Validate Left Crop
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if prop_x_min > 0:
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left_region = gray[:, 0:prop_x_min]
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left_border = gray[:, 0:min(2, prop_x_min)]
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if not validate_crop(left_region, left_border):
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prop_x_min = 0
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# Validate Right Crop
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if prop_x_max < img_w:
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right_region = gray[:, prop_x_max:img_w]
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right_border = gray[:, max(img_w-2, prop_x_max):img_w]
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if not validate_crop(right_region, right_border):
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prop_x_max = img_w
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# Inset Logic (2px) - additional fixed safety margin ONLY for valid crops
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inset = 2
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x_min =
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y_min =
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x_max =
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y_max =
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final_w = x_max - x_min
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final_h = y_max - y_min
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if zoom_inset > 0:
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print(f"Smart Zoom applied: {zoom_inset}px inset to clear rounded corners.")
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# Inset Logic (2px) - additional fixed safety margin
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inset = 2
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x_min = max(x + inset, 0)
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y_min = max(y + inset, 0)
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x_max = min(x + w - inset, img_w)
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y_max = min(y + h - inset, img_h)
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final_w = x_max - x_min
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final_h = y_max - y_min
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