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${ noResults }
3 Commits (99f32f17b481a7ab387c3f4f177b343dad5d1e64)
| Author | SHA1 | Message | Date |
|---|---|---|---|
uday
|
03994163b5
|
Merge pull request #24913 from usyntest:optical-flow-sample-raft
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> |
1 year ago |
zhaoyue-zephyrus
|
e231be86b7 |
support flownet2 with arbitary input size
revise default proto to match the filename in documentations fix a bug beautify python codes fix bug beautify codes add test samples with larger/smaller size remove unless code using bytearray without creating tmp file remove useless codes |
5 years ago |
Liubov Batanina
|
d991c22090
|
Merge pull request #16575 from l-bat:flownet2
Support FlowNet2 model * Support DataAugmentation layer * Fix warnings * Fix comments * Support Correlation layer * TEST * Support Correlation layer * Supported Accum and FlowWarp layers * Supported ChannelNorm layer * Supported Resample with inputs.size() > 1 * Fixed comments * Refactoring * Added tests * Add resample test * Added asserts in resize layer * Updated DataAugmentation layer * Update convolution layer * Refactoring * Fix data augmentation layer * Fix caffe importer * Fix resize * Switch to Mat ptr * Remove useless resize type * Used ResizeLayer in Accum * Split ChannelNormLayer * Delete duplicate assert * Add sample * Fix sample * Added colormap |
5 years ago |