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Valued Error Solved #11

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4 changes: 2 additions & 2 deletions recognize.py
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Original file line number Diff line number Diff line change
Expand Up @@ -36,7 +36,7 @@ def segment(image, threshold=25):
thresholded = cv2.threshold(diff, threshold, 255, cv2.THRESH_BINARY)[1]

# get the contours in the thresholded image
(_, cnts, _) = cv2.findContours(thresholded.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
cnts, _ = cv2.findContours(thresholded.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)

# return None, if no contours detected
if len(cnts) == 0:
Expand Down Expand Up @@ -86,7 +86,7 @@ def count(thresholded, segmented):
circular_roi = cv2.bitwise_and(thresholded, thresholded, mask=circular_roi)

# compute the contours in the circular ROI
(_, cnts, _) = cv2.findContours(circular_roi.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)
(cnts, _) = cv2.findContours(circular_roi.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)

# initalize the finger count
count = 0
Expand Down
2 changes: 1 addition & 1 deletion segment.py
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Original file line number Diff line number Diff line change
Expand Up @@ -35,7 +35,7 @@ def segment(image, threshold=25):
thresholded = cv2.threshold(diff, threshold, 255, cv2.THRESH_BINARY)[1]

# get the contours in the thresholded image
(_, cnts, _) = cv2.findContours(thresholded.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
cnts, _ = cv2.findContours(thresholded.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)

# return None, if no contours detected
if len(cnts) == 0:
Expand Down