问题
I'm saving my KeyPoints and Descriptors in a JSON file. Later when I retrieve them, I am trying to use them in a FlannBasedMatcher
. However, I think something is going wrong in the conversion because I am getting the following error.
cv2.error: OpenCV(4.1.0) /io/opencv/modules/flann/src/miniflann.cpp:315: error: (-210:Unsupported format or combination of formats) in function 'buildIndex_'
> type=4
>
Creating the keypoints and descriptors
brisk = cv2.BRISK_create()
kp1, des1 = brisk.detectAndCompute(img, None)
Converting to JSON
temp = [{'point0':k.pt[0],'point1':k.pt[1],'size':k.size,'angle': k.angle, 'response': k.response, "octave":k.octave,
"id":k.class_id} for k in kp1]
json.dumps(temp) #JSON KeyPoints
json.dumps(des1.tolist()) #JSON Descriptors
Converting back
rawKeys = json.loads(result[key]["KEYPOINTS"])
rawDes = json.loads(result[key]["DESCRIPTORS"])
kp2 = []
for kp in rawKeys:
p = cv2.KeyPoint(x=kp["point0"],y=kp["point0"],_size=kp["size"], _angle=kp["angle"], _response=kp["response"], _octave=kp["octave"], _class_id=kp["id"])
kp2.append(p)
des2 = np.array(rawDes)
Matcher
FLANN_INDEX_LSH = 6
index_params= dict(algorithm = FLANN_INDEX_LSH,
table_number = 6, # 12
key_size = 12, # 20
multi_probe_level = 1) #2
search_params = dict(checks = 50)
flann = cv2.FlannBasedMatcher(index_params, search_params)
matches = flann.knnMatch(des1,des2,k=2) # ERROR HERE
回答1:
Solution was deceptively simple.
des2 = np.array(rawDes,dtype=np.uint8)
来源:https://stackoverflow.com/questions/56271253/issue-converting-keypoints-to-and-from-json-and-then-using-flannbasedmatcher