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update for python 3 + openCV 3.1 #2

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update for python 3 + openCV 3.1 #2

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2 changes: 1 addition & 1 deletion generateClassifier.py
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Original file line number Diff line number Diff line change
Expand Up @@ -27,7 +27,7 @@
pp = preprocessing.StandardScaler().fit(hog_features)
hog_features = pp.transform(hog_features)

print "Count of digits in dataset", Counter(labels)
print("Count of digits in dataset", Counter(labels))

# Create an linear SVM object
clf = LinearSVC()
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2 changes: 1 addition & 1 deletion performRecognition.py
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Expand Up @@ -27,7 +27,7 @@
ret, im_th = cv2.threshold(im_gray, 90, 255, cv2.THRESH_BINARY_INV)

# Find contours in the image
ctrs, hier = cv2.findContours(im_th.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
_, ctrs, _ = cv2.findContours(im_th.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)

# Get rectangles contains each contour
rects = [cv2.boundingRect(ctr) for ctr in ctrs]
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