45 lines
1.5 KiB
Python
45 lines
1.5 KiB
Python
# author: Adrian Rosebrock
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# website: http://www.pyimagesearch.com
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# import the necessary packages
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import cv2
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def sort_contours(cnts, method="left-to-right"):
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# initialize the reverse flag and sort index
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reverse = False
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i = 0
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# handle if we need to sort in reverse
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if method == "right-to-left" or method == "bottom-to-top":
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reverse = True
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# handle if we are sorting against the y-coordinate rather than
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# the x-coordinate of the bounding box
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if method == "top-to-bottom" or method == "bottom-to-top":
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i = 1
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# construct the list of bounding boxes and sort them from top to
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# bottom
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boundingBoxes = [cv2.boundingRect(c) for c in cnts]
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(cnts, boundingBoxes) = zip(*sorted(zip(cnts, boundingBoxes),
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key=lambda b: b[1][i], reverse=reverse))
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# return the list of sorted contours and bounding boxes
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return cnts, boundingBoxes
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def label_contour(image, c, i, color=(0, 255, 0), thickness=2):
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# compute the center of the contour area and draw a circle
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# representing the center
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M = cv2.moments(c)
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cX = int(M["m10"] / M["m00"])
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cY = int(M["m01"] / M["m00"])
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# draw the contour and label number on the image
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cv2.drawContours(image, [c], -1, color, thickness)
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cv2.putText(image, "#{}".format(i + 1), (cX - 20, cY), cv2.FONT_HERSHEY_SIMPLEX,
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1.0, (255, 255, 255), 2)
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# return the image with the contour number drawn on it
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return image
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