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Make DocScanner compatible with openCV 4.0 #1

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Make DocScanner compatible with openCV 4.0 #1

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8 changes: 3 additions & 5 deletions scan.py
100644 → 100755
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Original file line number Diff line number Diff line change
Expand Up @@ -123,8 +123,7 @@ def get_corners(self, img):
lines = []

# find the horizontal lines (connected-components -> bounding boxes -> final lines)
contours = cv2.findContours(horizontal_lines_canvas, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)
contours = contours[1]
(contours, hierarchy) = cv2.findContours(horizontal_lines_canvas, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)
contours = sorted(contours, key=lambda c: cv2.arcLength(c, True), reverse=True)[:2]
horizontal_lines_canvas = np.zeros(img.shape, dtype=np.uint8)
for contour in contours:
Expand All @@ -139,8 +138,7 @@ def get_corners(self, img):
corners.append((max_x, right_y))

# find the vertical lines (connected-components -> bounding boxes -> final lines)
contours = cv2.findContours(vertical_lines_canvas, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)
contours = contours[1]
(contours, hierarchy) = cv2.findContours(vertical_lines_canvas, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)
contours = sorted(contours, key=lambda c: cv2.arcLength(c, True), reverse=True)[:2]
vertical_lines_canvas = np.zeros(img.shape, dtype=np.uint8)
for contour in contours:
Expand Down Expand Up @@ -227,7 +225,7 @@ def get_contour(self, rescaled_image):

# also attempt to find contours directly from the edged image, which occasionally
# produces better results
(_, cnts, hierarchy) = cv2.findContours(edged.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
(cnts, hierarchy) = cv2.findContours(edged.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
cnts = sorted(cnts, key=cv2.contourArea, reverse=True)[:5]

# loop over the contours
Expand Down