FLANN with Hierarchical Clustering Index
Hi guys,
I am implementing a FLANN based matcher with ORB. For this I want to use the Hierarchical Clustering, since it can be used for binary feature matching.
My Code for initializing FLANN:
index_params=dict(algorithm=5, branching = 32, centers_init = 0, trees = 4, leaf_max_size = 100)
search_params = dict(checks=50)
flann = cv2.FlannBasedMatcher(index_params, search_params)
matches = flann.knnMatch(des_frame, des_train, k=2)
But I receive the following error:
matches = flann.knnMatch(des_frame, des_train, k=2)
cv2.error: OpenCV(4.2.0) C:\projects\opencv-python\opencv\modules\flann\src\miniflann.cpp:315: error: (-210:Unsupported format or combination of formats) in function 'cv::flann::buildIndex_'> type=0>
The parameters are according to the FLANN manual: https://www.cs.ubc.ca/research/flann/...
Manual Page 10:
struct HierarchicalClusteringIndexParams : public IndexParams{
HierarchicalClusteringIndexParams(
int branching = 32,flann_centers_init_t centers_init = FLANN_CENTERS_RANDOM,int trees = 4,
int leaf_max_size = 100)}
I hope you can help me with this problem. thx
have a look at the src -- the distance type does not match the orb features type
also, not sure, if you can set this correctly with the FlannBasedMatcher. (iirc you can with a flann::Index, but not here)
sidenote: please do not use magic numbers like
algorithm=5