1 | initial version |
This is done at least since 2.4.7. If you build OpenCV with CUDA flags with driver installed, opencv_traincascade will use CUDA and you should see a significant speedup:
$ otool -L bin/opencv_traincascade
bin/opencv_traincascade:
@rpath/libcudart.5.5.dylib (compatibility version 0.0.0, current version 5.5.28)
...
@rpath/libcublas.5.5.dylib (compatibility version 0.0.0, current version 5.5.28)
@rpath/libcufft.5.5.dylib (compatibility version 0.0.0, current version 5.5.28)
...
2 | No.2 Revision |
This is done at least since 2.4.7. If you build OpenCV with CUDA flags with driver installed, opencv_traincascade will use CUDA and you should see a significant speedup:CUDA:
$ otool -L bin/opencv_traincascade
bin/opencv_traincascade:
@rpath/libcudart.5.5.dylib (compatibility version 0.0.0, current version 5.5.28)
...
@rpath/libcublas.5.5.dylib (compatibility version 0.0.0, current version 5.5.28)
@rpath/libcufft.5.5.dylib (compatibility version 0.0.0, current version 5.5.28)
...