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Vadim Pisarevsky
8b3d6603d5
* another round of dnn optimization: * increased malloc alignment across OpenCV from 16 to 64 bytes to make it AVX2 and even AVX-512 friendly * improved SIMD optimization of pooling layer, optimized average pooling * cleaned up convolution layer implementation * made activation layer "attacheable" to all other layers, including fully connected and addition layer. * fixed bug in the fusion algorithm: "LayerData::consumers" should not be cleared, because it desctibes the topology. * greatly optimized permutation layer, which improved SSD performance * parallelized element-wise binary/ternary/... ops (sum, prod, max) * also, added missing copyrights to many of the layer implementation files * temporarily disabled (again) the check for intermediate blobs consistency; fixed warnings from various builders
OpenCV: Open Source Computer Vision Library
Resources
- Homepage: http://opencv.org
- Docs: http://docs.opencv.org/master/
- Q&A forum: http://answers.opencv.org
- Issue tracking: https://github.com/opencv/opencv/issues
Contributing
Please read before starting work on a pull request: https://github.com/opencv/opencv/wiki/How_to_contribute
Summary of guidelines:
- One pull request per issue;
- Choose the right base branch;
- Include tests and documentation;
- Clean up "oops" commits before submitting;
- Follow the coding style guide.