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Faster implementation of blobFromImages for cpu nchw output #26127 Faster implementation of blobFromImage and blobFromImages for HWC cv::Mat images -> NCHW cv::Mat case Running time on my pc in ms: **blobFromImage** ``` image size old new speed-up 32x32x3 0.008 0.002 4.0x 64x64x3 0.021 0.009 2.3x 128x128x3 0.164 0.037 4.4x 256x256x3 0.728 0.158 4.6x 512x512x3 3.310 0.628 5.2x 1024x1024x3 14.503 3.124 4.6x 2048x2048x3 61.647 28.049 2.2x ``` **blobFromImages** ``` image size old new speed-up 16x32x32x3 0.122 0.041 3.0x 16x64x64x3 0.790 0.165 4.8x 16x128x128x3 3.313 0.652 5.1x 16x256x256x3 13.495 3.127 4.3x 16x512x512x3 58.795 28.127 2.1x 16x1024x1024x3 251.135 121.955 2.1x 16x2048x2048x3 1023.570 487.188 2.1x ``` ### 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 - [ ] There is a reference to the original bug report and related work - [ ] 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 |
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| .. | ||
| perf_caffe.cpp | ||
| perf_common.cpp | ||
| perf_convolution1d.cpp | ||
| perf_convolution3d.cpp | ||
| perf_convolution.cpp | ||
| perf_einsum.cpp | ||
| perf_gemm.cpp | ||
| perf_layer.cpp | ||
| perf_main.cpp | ||
| perf_net.cpp | ||
| perf_precomp.hpp | ||
| perf_recurrent.cpp | ||
| perf_utils.cpp | ||