opencv

Open Source Computer Vision Library https://opencv.org/

Wanli 62b5470b78 Merge pull request #24298 from WanliZhong:extend_perf_net_test Extend performance test models #24298 Merged With https://github.com/opencv/opencv_extra/pull/1095 This PR aims to extend the performance tests. - YOLOv5 for object detection - YOLOv8 for object detection - EfficientNet for classification Models from OpenCV Zoo: - YOLOX for object detection - YuNet for face detection - SFace for face recognization - MPPalm for palm detection - MPHand for hand landmark - MPPose for pose estimation - ViTTrack for object tracking - PPOCRv3 for text detection - CRNN for text recognization - PPHumanSeg for human segmentation If other models should be added, please leave some comments. Thanks! Build opencv with script: ```shell -DBUILD_opencv_python2=OFF -DBUILD_opencv_python3=OFF -DBUILD_opencv_gapi=OFF -DINSTALL_PYTHON_EXAMPLES=OFF -DINSTALL_C_EXAMPLES=OFF -DBUILD_DOCS=OFF -DBUILD_EXAMPLES=OFF -DBUILD_ZLIB=OFF -DWITH_FFMPEG=OFF ``` Performance Test on Apple M2 CPU ```shell MacOS 14.0 8 threads ``` 1 thread: \| Name of Test \| 4.5.5-1th \| 4.6.0-1th \| 4.7.0-1th \| 4.8.0-1th \| 4.8.1-1th \| \|--------------\|:---------:\|:---------:\|:---------:\|:---------:\|:---------:\| \| CRNN \| 76.244 \| 76.611 \| 62.534 \| 57.678 \| 57.238 \| \| EfficientNet \| --- \| --- \| 109.224 \| 130.753 \| 109.076 \| \| MPHand \| --- \| --- \| 19.289 \| 22.727 \| 27.593 \| \| MPPalm \| 47.150 \| 47.061 \| 41.064 \| 65.598 \| 40.109 \| \| MPPose \| --- \| --- \| 26.592 \| 32.022 \| 26.956 \| \| PPHumanSeg \| 41.672 \| 41.790 \| 27.819 \| 27.212 \| 30.461 \| \| PPOCRv3 \| --- \| --- \| 140.371 \| 187.922 \| 170.026 \| \| SFace \| 43.830 \| 43.834 \| 27.575 \| 30.653 \| 26.387 \| \| ViTTrack \| --- \| --- \| --- \| 14.617 \| 15.028 \| \| YOLOX \| 1060.507 \| 1061.361 \| 495.816 \| 533.309 \| 549.713 \| \| YOLOv5 \| --- \| --- \| --- \| 191.350 \| 193.261 \| \| YOLOv8 \| --- \| --- \| 198.893 \| 218.733 \| 223.142 \| \| YuNet \| 27.084 \| 27.095 \| 26.238 \| 30.512 \| 34.439 \| \| MobileNet_SSD_Caffe \| 44.742 \| 44.565 \| 33.005 \| 29.421 \| 29.286 \| \| MobileNet_SSD_v1_TensorFlow \| 49.352 \| 49.274 \| 35.163 \| 32.134 \| 31.904 \| \| MobileNet_SSD_v2_TensorFlow \| 83.537 \| 83.379 \| 56.403 \| 42.947 \| 42.148 \| \| ResNet_50 \| 148.872 \| 148.817 \| 77.331 \| 67.682 \| 67.760 \| n threads: \| Name of Test \| 4.5.5-nth \| 4.6.0-nth \| 4.7.0-nth \| 4.8.0-nth \| 4.8.1-nth \| \|--------------\|:---------:\|:---------:\|:---------:\|:---------:\|:---------:\| \| CRNN \| 44.262 \| 44.408 \| 41.540 \| 40.731 \| 41.151 \| \| EfficientNet \| --- \| --- \| 28.683 \| 42.676 \| 38.204 \| \| MPHand \| --- \| --- \| 6.738 \| 13.126 \| 8.155 \| \| MPPalm \| 16.613 \| 16.588 \| 12.477 \| 31.370 \| 17.048 \| \| MPPose \| --- \| --- \| 12.985 \| 19.700 \| 16.537 \| \| PPHumanSeg \| 14.993 \| 15.133 \| 13.438 \| 15.269 \| 15.252 \| \| PPOCRv3 \| --- \| --- \| 63.752 \| 85.469 \| 76.190 \| \| SFace \| 10.685 \| 10.822 \| 8.127 \| 8.318 \| 7.934 \| \| ViTTrack \| --- \| --- \| --- \| 10.079 \| 9.579 \| \| YOLOX \| 417.358 \| 422.977 \| 230.036 \| 234.662 \| 228.555 \| \| YOLOv5 \| --- \| --- \| --- \| 74.249 \| 75.480 \| \| YOLOv8 \| --- \| --- \| 63.762 \| 88.770 \| 70.927 \| \| YuNet \| 8.589 \| 8.731 \| 11.269 \| 16.466 \| 14.513 \| \| MobileNet_SSD_Caffe \| 12.575 \| 12.636 \| 11.529 \| 12.114 \| 12.236 \| \| MobileNet_SSD_v1_TensorFlow \| 13.922 \| 14.160 \| 13.078 \| 12.124 \| 13.298 \| \| MobileNet_SSD_v2_TensorFlow \| 25.096 \| 24.836 \| 22.823 \| 20.238 \| 20.319 \| \| ResNet_50 \| 41.561 \| 41.296 \| 29.092 \| 30.412 \| 29.339 \| Performance Test on [Intel Core i7-12700K](https://www.intel.com/content/www/us/en/products/sku/134594/intel-core-i712700k-processor-25m-cache-up-to-5-00-ghz/specifications.html) ```shell Ubuntu 22.04.2 LTS 8 Performance-cores (3.60 GHz, turbo up to 4.90 GHz) 4 Efficient-cores (2.70 GHz, turbo up to 3.80 GHz) 20 threads ``` 1 thread: \| Name of Test \| 4.5.5-1th \| 4.6.0-1th \| 4.7.0-1th \| 4.8.0-1th \| 4.8.1-1th \| \|--------------\|:---------:\|:---------:\|:---------:\|:---------:\|:---------:\| \| CRNN \| 16.752 \| 16.851 \| 16.840 \| 16.625 \| 16.663 \| \| EfficientNet \| --- \| --- \| 61.107 \| 76.037 \| 53.890 \| \| MPHand \| --- \| --- \| 8.906 \| 9.969 \| 8.403 \| \| MPPalm \| 24.243 \| 24.638 \| 18.104 \| 35.140 \| 18.387 \| \| MPPose \| --- \| --- \| 12.322 \| 16.515 \| 12.355 \| \| PPHumanSeg \| 15.249 \| 15.303 \| 10.203 \| 10.298 \| 10.353 \| \| PPOCRv3 \| --- \| --- \| 87.788 \| 144.253 \| 90.648 \| \| SFace \| 15.583 \| 15.884 \| 13.957 \| 13.298 \| 13.284 \| \| ViTTrack \| --- \| --- \| --- \| 11.760 \| 11.710 \| \| YOLOX \| 324.927 \| 325.173 \| 235.986 \| 253.653 \| 254.472 \| \| YOLOv5 \| --- \| --- \| --- \| 102.163 \| 102.621 \| \| YOLOv8 \| --- \| --- \| 87.013 \| 103.182 \| 103.146 \| \| YuNet \| 12.806 \| 12.645 \| 10.515 \| 12.647 \| 12.711 \| \| MobileNet_SSD_Caffe \| 23.556 \| 23.768 \| 24.304 \| 22.569 \| 22.602 \| \| MobileNet_SSD_v1_TensorFlow \| 26.136 \| 26.276 \| 26.854 \| 24.828 \| 24.961 \| \| MobileNet_SSD_v2_TensorFlow \| 43.521 \| 43.614 \| 46.892 \| 44.044 \| 44.682 \| \| ResNet_50 \| 73.588 \| 73.501 \| 75.191 \| 66.893 \| 65.144 \| n thread: \| Name of Test \| 4.5.5-nth \| 4.6.0-nth \| 4.7.0-nth \| 4.8.0-nth \| 4.8.1-nth \| \|--------------\|:---------:\|:---------:\|:---------:\|:---------:\|:---------:\| \| CRNN \| 8.665 \| 8.827 \| 10.643 \| 7.703 \| 7.743 \| \| EfficientNet \| --- \| --- \| 16.591 \| 12.715 \| 9.022 \| \| MPHand \| --- \| --- \| 2.678 \| 2.785 \| 1.680 \| \| MPPalm \| 5.309 \| 5.319 \| 3.822 \| 10.568 \| 4.467 \| \| MPPose \| --- \| --- \| 3.644 \| 6.088 \| 4.608 \| \| PPHumanSeg \| 4.756 \| 4.865 \| 5.084 \| 5.179 \| 5.148 \| \| PPOCRv3 \| --- \| --- \| 32.023 \| 50.591 \| 32.414 \| \| SFace \| 3.838 \| 3.980 \| 4.629 \| 3.145 \| 3.155 \| \| ViTTrack \| --- \| --- \| --- \| 10.335 \| 10.357 \| \| YOLOX \| 68.314 \| 68.081 \| 82.801 \| 74.219 \| 73.970 \| \| YOLOv5 \| --- \| --- \| --- \| 47.150 \| 47.523 \| \| YOLOv8 \| --- \| --- \| 32.195 \| 30.359 \| 30.267 \| \| YuNet \| 2.604 \| 2.644 \| 2.622 \| 3.278 \| 3.349 \| \| MobileNet_SSD_Caffe \| 13.005 \| 5.935 \| 8.586 \| 4.629 \| 4.713 \| \| MobileNet_SSD_v1_TensorFlow \| 7.002 \| 7.129 \| 9.314 \| 5.271 \| 5.213 \| \| MobileNet_SSD_v2_TensorFlow \| 11.939 \| 12.111 \| 22.688 \| 12.038 \| 12.086 \| \| ResNet_50 \| 18.227 \| 18.600 \| 26.150 \| 15.584 \| 15.706 \|		1 year ago
..
perf_caffe.cpp	Merge pull request #24120 from dkurt:actualize_dnn_links	1 year ago
perf_common.cpp	…
perf_convolution.cpp	Merge pull request #23952 from zihaomu:fix_depth_conv_5x5	1 year ago
perf_convolution1d.cpp	…
perf_convolution3d.cpp	…
perf_gemm.cpp	Merge pull request #24309 from dkurt:gemm_ov_hotfix	1 year ago
perf_layer.cpp	Remove explitit transB attribute from MatMul perf test	1 year ago
perf_main.cpp	…
perf_net.cpp	Merge pull request #24298 from WanliZhong:extend_perf_net_test	1 year ago
perf_precomp.hpp	…
perf_recurrent.cpp	…