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# author: Adrian Rosebrock
# website: http://www.pyimagesearch.com
# USAGE
# BE SURE TO INSTALL 'imutils' PRIOR TO EXECUTING THIS COMMAND
# python sorting_contours.py
# import the necessary packages
from imutils import contours
import imutils
import cv2
# load the shapes image clone it, convert it to grayscale, and
# detect edges in the image
image = cv2.imread("../demo_images/shapes.png")
orig = image.copy()
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
edged = imutils.auto_canny(gray)
# find contours in the edge map
cnts = cv2.findContours(edged.copy(), cv2.RETR_EXTERNAL,
cv2.CHAIN_APPROX_SIMPLE)
cnts = imutils.grab_contours(cnts)
# loop over the (unsorted) contours and label them
for (i, c) in enumerate(cnts):
orig = contours.label_contour(orig, c, i, color=(240, 0, 159))
# show the original image
cv2.imshow("Original", orig)
# loop over the sorting methods
for method in ("left-to-right", "right-to-left", "top-to-bottom", "bottom-to-top"):
# sort the contours
(cnts, boundingBoxes) = contours.sort_contours(cnts, method=method)
clone = image.copy()
# loop over the sorted contours and label them
for (i, c) in enumerate(cnts):
sortedImage = contours.label_contour(clone, c, i, color=(240, 0, 159))
# show the sorted contour image
cv2.imshow(method, sortedImage)
# wait for a keypress
cv2.waitKey(0)
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