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Raft support added in this sample code #24913 ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake fix: https://github.com/opencv/opencv/issues/24424 Update DNN Optical Flow sample with RAFT model I implemented both RAFT and FlowNet v2 leaving it to the user which one he wants to use to estimate the optical flow. Co-authored-by: Uday Sharma <uday@192.168.1.35> |
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| android | ||
| cpp | ||
| data | ||
| directx | ||
| dnn | ||
| gdb | ||
| gpu | ||
| hal | ||
| install | ||
| java | ||
| opencl | ||
| opengl | ||
| openvx | ||
| python | ||
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| va_intel | ||
| winrt | ||
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| _winpack_build_sample.cmd | ||
| _winpack_run_python_sample.cmd | ||
| CMakeLists.example.in | ||
| CMakeLists.txt | ||
| samples_utils.cmake | ||