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 | 1 | initial version |
btw, you won't be able to construct a BowDescriptorMatcher from java (it's all no problem from c++ or python, just the java wrappers are a bit retarded here)
| | 2 | No.2 Revision |
how many features do you have ? can it be, you're running out of memory ?
btw, you won't be able to construct a BowDescriptorMatcher from java (it's all no problem from c++ or python, just the java wrappers are a bit retarded here)here), so sooner or later, you'll have to dive into the c++ src code, and rewrite it on your own.
| | 3 | No.3 Revision |
how many features do you cannot use ORB descriptors here, they are binary ones, and float descriptors are required for kmeans clustering. this means, you have ? can it be, you're running out of memory ?to use SIFT,SURF or AKAZE
btw, you won't be able to construct a BowDescriptorMatcher from java (it's all no problem from c++ or python, just the java wrappers are a bit retarded here), so sooner or later, you'll have to dive into the c++ src code, and rewrite it on your own.
| | 4 | No.4 Revision |
you cannot use ORB descriptors here, they are binary ones, and float descriptors are required for kmeans clustering. this means, you have to use SIFT,SURF or AKAZE
btw, you won't be able to construct a BowDescriptorMatcher from java (it's all no problem from c++ or python, just the java wrappers are a bit retarded here), so sooner or later, you'll have to dive into the c++ src code, and rewrite it on your own.
then, to make sense, you need like ~500 - 1000 images, 3 will be never enough
| | 5 | No.5 Revision |
you cannot use ORB descriptors here, they are binary ones, and float descriptors are required for kmeans clustering. this means, you have to use SIFT,SURF or AKAZEAKAZE. (no please DON'T try to convert them, it's useless)
btw, you won't be able to construct a BowDescriptorMatcher from java (it's all no problem from c++ or python, just the java wrappers are a bit retarded here), so sooner or later, you'll have to dive into the c++ src code, and rewrite it on your own.
then, to make sense, you need like ~500 - 1000 images, 3 will be never enough
| | 6 | No.6 Revision |
you cannot use ORB descriptors here, they are binary ones, and float descriptors are required for kmeans clustering. this means, you have to use SIFT,SURF or AKAZE. (no please DON'T try to convert them, it's useless)
btw, you won't be able to construct a BowDescriptorMatcher BOWImgDescriptorExtractor from java (it's all no problem from c++ or python, just the java wrappers are a bit retarded here), so sooner or later, you'll have to dive into the c++ src code, and rewrite it on your own.
then, to make sense, you need like ~500 - 1000 images, 3 will be never enough
