Samples Python:
* Unused variables * Bad identation
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@@ -92,7 +92,6 @@ def explore_match(win, img1, img2, kp_pairs, status = None, H = None):
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green = (0, 255, 0)
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red = (0, 0, 255)
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white = (255, 255, 255)
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kp_color = (51, 103, 236)
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for (x1, y1), (x2, y2), inlier in zip(p1, p2, status):
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if inlier:
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@@ -123,12 +122,12 @@ def explore_match(win, img1, img2, kp_pairs, status = None, H = None):
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idxs = np.where(m)[0]
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kp1s, kp2s = [], []
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for i in idxs:
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(x1, y1), (x2, y2) = p1[i], p2[i]
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col = (red, green)[status[i]]
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cv2.line(cur_vis, (x1, y1), (x2, y2), col)
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kp1, kp2 = kp_pairs[i]
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kp1s.append(kp1)
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kp2s.append(kp2)
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(x1, y1), (x2, y2) = p1[i], p2[i]
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col = (red, green)[status[i]]
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cv2.line(cur_vis, (x1, y1), (x2, y2), col)
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kp1, kp2 = kp_pairs[i]
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kp1s.append(kp1)
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kp2s.append(kp2)
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cur_vis = cv2.drawKeypoints(cur_vis, kp1s, None, flags=4, color=kp_color)
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cur_vis[:,w1:] = cv2.drawKeypoints(cur_vis[:,w1:], kp2s, None, flags=4, color=kp_color)
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@@ -183,7 +182,7 @@ if __name__ == '__main__':
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H, status = None, None
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print('%d matches found, not enough for homography estimation' % len(p1))
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vis = explore_match(win, img1, img2, kp_pairs, status, H)
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_vis = explore_match(win, img1, img2, kp_pairs, status, H)
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match_and_draw('find_obj')
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cv2.waitKey()
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