1 | initial version |
to do kmeans clustering, you need more input features(n) than desired clusters(K)
since you only got 2 images, you likely get less than 1500 descriptors.
ofc. you need more images, but for now try to reduce dictionarySize
to like 100
2 | No.2 Revision |
to do kmeans clustering, you need more input features(n) features(N) than desired clusters(K)
since you only got 2 images, you likely get less than 1500 descriptors.
ofc. you need more images, but for now try to reduce dictionarySize
to like 100