Hey everyone,
I'm using binary images of the same size, extracting ORB Features but when it comes to compare the descriptors I receive an:
**The Error**
> OpenCV/opencv/modules/core/src/stat.cpp:3757:> error: (-215) type == src2.type() &&> src1.cols == src2.cols && (type ==> CV_32F || type == CV_8U) in function> batchDistance
However when I check the descriptors with
print img.dtype, np.shape(img), np.shape(descriptors)
print oldimg.dtype, np.shape(oldimg), np.shape(olddescriptors)
I get
uint8 (21, 27) (22, 32)
uint8 (21, 27) (17, 32)
Apparently this seems to be the error. On the other hand there's not much I can do against it. Has anybody an idea? At least is there some kind of tutorial online, of how to manually match the descriptors ?
Btw it is the same if I use SIFT, SURF, etc.
**Here's my code:**
I'm working with python 2.7 and OpenCV 2.4
orb = cv2.ORB_create(edgeThreshold=3)
oldkeypoints, olddescriptors = orb.detectAndCompute(oldimg,None)
keypoints, descriptors = orb.detectAndCompute(img,None)
bf = cv2.BFMatcher(cv2.NORM_HAMMING)
bf.clear()
bf.add(olddescriptors)
bf.train()
matches = bf.match(descriptors) # crashes here
matches = sorted(matches, key = lambda x:x.distance)
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