python-fingerprint-recognition
python-fingerprint-recognition copied to clipboard
kjanko
different result in raspberry pi
I tried to run the code on raspberry pi, the value of score/len(matches) is different there. when i run this code on anaconda3 the value is 46 but i receive 15 in raspberry pi.
PSA: all the python idle, libraries are same
Check the outputs of:
kp1, des1 = get_descriptors(img1)
kp2, des2 = get_descriptors(img2)
matches = sorted(bf.match(des1, des2), key= lambda match:match.distance)
If the descriptors do not match, check these:
harris_corners = cv2.cornerHarris(img, 3, 3, 0.04)
harris_normalized = cv2.normalize(harris_corners, 0, 255, norm_type=cv2.NORM_MINMAX, dtype=cv2.CV_32FC1)
keypoints.append(cv2.KeyPoint(y, x, 1))
The outputs of kp1, des1 = get_descriptors(img1) kp2, des2 = get_descriptors(img2) matches = sorted(bf.match(des1, des2), key= lambda match:match.distance)
is different. i printed out the value of
harris_corners = cv2.cornerHarris(img, 3, 3, 0.04) harris_normalized = cv2.normalize(harris_corners, 0, 255, norm_type=cv2.NORM_MINMAX, dtype=cv2.CV_32FC1)
and its same for both cases. i couldn't print keypoints.append.
The outputs of kp1, des1 = get_descriptors(img1) kp2, des2 = get_descriptors(img2) matches = sorted(bf.match(des1, des2), key= lambda match:match.distance)
is different. i printed out the value of
harris_corners = cv2.cornerHarris(img, 3, 3, 0.04) harris_normalized = cv2.normalize(harris_corners, 0, 255, norm_type=cv2.NORM_MINMAX, dtype=cv2.CV_32FC1)
and its same for both cases. i couldn't print keypoints.append.
Print the keypoints array after the loop that fills it ends. But since you're saying that the harris corners are detected in the same manner, I'm guessing that ORB behaves differently on embedded hardware. You'll most likely need to report this to OpenCV.
i think the keypoints array are different. i have attached the outputs below.
this is obtained in pc
this is obtained in raspberry pi 3b
sorry the snip were uploaded in different order, i have corrected it. Please do have a look.
PS: This will be issue for the maximum people now since it is not compatible with raspberry pi, we need to figure out the problem as soon as possbile
The keypoints are the same. This means that the output of ORB is different on both platforms. I suggest opening an issue @ OpenCV.