def homography(self, img, outdir_name=''):
orig = img
# 2??????
gray = cv2.cvtColor(orig, cv2.COLOR_BGR2GRAY)
gauss = cv2.GaussianBlur(gray, (5, 5), 0)
canny = cv2.Canny(gauss, 50, 150)
# 2??????????
contours = cv2.findContours(canny, cv2.RETR_LIST, cv2.CHAIN_APPROX_NONE)[1]
# ???????????
contours.sort(key=cv2.contourArea, reverse=True)
if len(contours) > 0:
arclen = cv2.arcLength(contours[0], True)
# ???????????
approx = cv2.approxPolyDP(contours[0], 0.01 * arclen, True)
# warp = approx.copy()
if len(approx) >= 4:
self.last_approx = approx.copy()
elif self.last_approx is not None:
approx = self.last_approx
else:
approx = self.last_approx
rect = self.get_rect_by_points(approx)
# warped = self.transform_by4(orig, warp[:, 0, :])
return orig[rect[0]:rect[1], rect[2]:rect[3]]
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