Update README.md
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README.md
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@@ -70,8 +70,16 @@ segmentation = img_proc.post_process_semantic_segmentation(
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def detect_bboxes(masks: np.ndarray):
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detected_blocks = []
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contours, _ = cv2.findContours(
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for contour in list(contours):
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if len(list(contour)) >= 4:
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# smallest rectangle containing all points in the contour is computed
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)
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def detect_bboxes(masks: np.ndarray):
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r"""
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A simple bounding box detection function that was used to calculate
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the performance metrics in the "Performance" section.
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"""
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detected_blocks = []
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contours, _ = cv2.findContours(
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masks.astype(np.uint8),
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cv2.RETR_EXTERNAL,
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cv2.CHAIN_APPROX_SIMPLE
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)
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for contour in list(contours):
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if len(list(contour)) >= 4:
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# smallest rectangle containing all points in the contour is computed
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