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app.py
CHANGED
@@ -86,7 +86,7 @@ def generate_matching_superfeatures(im1, im2, scale_id=6, threshold=50):
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# att = cv2.resize(att, imgz[i].shape[:2][::-1], interpolation=cv2.INTER_NEAREST)
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# att = cv2.resize(att, imgz[i].shape[:2][::-1], interpolation=cv2.INTER_CUBIC)
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# att = cv2.resize(att, imgz[i].shape[:2][::-1])
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att = att.resize(im1.
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mask2d = zip(*np.where(att==255))
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for m,n in mask2d:
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col_ = col.colors[j] if j < 7 else col.colors[j+1]
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@@ -101,8 +101,8 @@ def generate_matching_superfeatures(im1, im2, scale_id=6, threshold=50):
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# att = cv2.resize(att, imgz[i].shape[:2][::-1], interpolation=cv2.INTER_NEAREST)
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# att = cv2.resize(att, imgz[i].shape[:2][::-1], interpolation=cv2.INTER_CUBIC)
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# att = cv2.resize(att, imgz[i].shape[:2][::-1])
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att = att.resize(im2.
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print('att:', att.
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mask2d = zip(*np.where(att==255))
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for m,n in mask2d:
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col_ = col.colors[j] if j < 7 else col.colors[j+1]
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# att = cv2.resize(att, imgz[i].shape[:2][::-1], interpolation=cv2.INTER_NEAREST)
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# att = cv2.resize(att, imgz[i].shape[:2][::-1], interpolation=cv2.INTER_CUBIC)
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# att = cv2.resize(att, imgz[i].shape[:2][::-1])
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att = att.resize(im1.shape)
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mask2d = zip(*np.where(att==255))
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for m,n in mask2d:
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col_ = col.colors[j] if j < 7 else col.colors[j+1]
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# att = cv2.resize(att, imgz[i].shape[:2][::-1], interpolation=cv2.INTER_NEAREST)
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# att = cv2.resize(att, imgz[i].shape[:2][::-1], interpolation=cv2.INTER_CUBIC)
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# att = cv2.resize(att, imgz[i].shape[:2][::-1])
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att = att.resize(im2.shape)
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print('att:', att.shape)
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mask2d = zip(*np.where(att==255))
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for m,n in mask2d:
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col_ = col.colors[j] if j < 7 else col.colors[j+1]
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