Comments (1)
GPU and CPU implement the same optical flow algorithms, but GPU is much faster. In current version, three optical flow algorithms are implemented by GPU, including Brox, TVL1, Farneback. But only one optical flow algorithm (Farneback) is implemented by CPU. The results of different optical flow algorithms may have some differences.
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Related Issues (20)
- Gpu API call (unknown error) in mallocPitch HOT 1
- fatal error: opencv2/gpu/gpu.hpp: No such file or directory HOT 1
- Different frame num with original video HOT 1
- CMakeFiles/extract_cpu.dir/build.make:120: recipe for target 'extract_cpu' failed HOT 1
- can I extract rgb and optical images use fps=25? HOT 2
- why is the TVL1 with GPU so slow? HOT 1
- /usr/bin/ld: cannot find -lopencv_dep_cudart HOT 1
- I don't know how to make the file
- does this support cuda-9.0 HOT 1
- run error HOT 4
- How to extract the optical flow of multiple videos at once,Instead of a video
- Code for OpenCV >= 3
- Not work for some videos
- How can I use these codes on sequence of images? HOT 2
- Could NOT find LIBZIP
- 'easylogging++.h' file not found HOT 1
- dense_flow_gpu.cpp error HOT 2
- denseFlow_GPU with OpenCV 3.4.6 HOT 1
- camke and make -j are completed,but when i test the command like this,some mistake happened HOT 1
- make error?
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