I'm wanting to use orb detectors to draw a bounding box around a found image, similarly to the example here, which is using sift detectors: SIFT Refrence
The Linked example uses a FlannBasedMatcher. My Code uses a BFMatcher. I have no preference in the Matcher used.
MIN_MATCH_COUNT = 10
img1 = cv2.imread('box.png',0)
img2 = cv2.imread('box_in_scene.png',0)
orb = cv2.ORB_create()
kp1, des1 = orb.detectAndCompute(img1,None)
kp2, des2 = orb.detectAndCompute(img2,None)
bf = cv2.BFMatcher(cv2.NORM_HAMMING, crossCheck=True)
matches = bf.match(des1,des2)
How would I continue this code to use homography to draw around the box_in_scene image?
EDIT: I tried the following, but the output wasn't as expected.
src_pts = np.float32([ kp1[m.queryIdx].pt for m in matches[:50] ]).reshape(-1,1,2)
dst_pts = np.float32([ kp2[m.trainIdx].pt for m in matches[:50] ]).reshape(-1,1,2)
M, mask = cv2.findHomography(src_pts, dst_pts, cv2.RANSAC,5.0)
matchesMask = mask.ravel().tolist()
h,w = img1.shape
pts = np.float32([ [0,0],[0,h-1],[w-1,h-1],[w-1,0] ]).reshape(-1,1,2)
dst = cv2.perspectiveTransform(pts,M)
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