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| # Yolo-v4 and Yolo-v3/v2 for Windows and Linux | ||
| ### (neural network for object detection) - Tensor Cores can be used on [Linux](https://github.com/AlexeyAB/darknet#how-to-compile-on-linux) and [Windows](https://github.com/AlexeyAB/darknet#how-to-compile-on-windows-using-cmake-gui) | ||
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| Paper Yolo v4: https://arxiv.org/abs/2004.10934 | ||
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| More details: http://pjreddie.com/darknet/yolo/ | ||
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@@ -37,9 +39,13 @@ More details: http://pjreddie.com/darknet/yolo/ | |
| 11. [How to mark bounded boxes of objects and create annotation files](#how-to-mark-bounded-boxes-of-objects-and-create-annotation-files) | ||
| 12. [How to use Yolo as DLL and SO libraries](#how-to-use-yolo-as-dll-and-so-libraries) | ||
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| |  |  [email protected] (AP50) - FPS (GeForce 1080 Ti) https://arxiv.org/abs/1911.11929 https://github.com/WongKinYiu/CrossStagePartialNetworks - more models | | ||
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| |  |  AP50:95 / AP50 - FPS (Tesla V100) Paper: https://arxiv.org/abs/2004.10934 | | ||
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| * Yolo v4 Full comparison: [map_fps](https://user-images.githubusercontent.com/4096485/80163825-061db480-85e0-11ea-9ff9-13c7143789cb.png) | ||
| * CSPNet: [map_fps](https://user-images.githubusercontent.com/4096485/71702416-6645dc00-2de0-11ea-8d65-de7d4b604021.png) [paper](https://arxiv.org/abs/1911.11929) Comparison: https://github.com/WongKinYiu/CrossStagePartialNetworks | ||
| * Yolo v3 on MS COCO: [Speed / Accuracy ([email protected]) chart](https://user-images.githubusercontent.com/4096485/52151356-e5d4a380-2683-11e9-9d7d-ac7bc192c477.jpg) | ||
| * Yolo v3 on MS COCO (Yolo v3 vs RetinaNet) - Figure 3: https://arxiv.org/pdf/1804.02767v1.pdf | ||
| * Yolo v2 on Pascal VOC 2007: https://hsto.org/files/a24/21e/068/a2421e0689fb43f08584de9d44c2215f.jpg | ||
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@@ -51,7 +57,7 @@ There are weights-file for different cfg-files (trained for MS COCO dataset): | |
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| FPS on RTX 2070 (R) and Tesla V100 (V): | ||
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| * [yolov4.cfg](https://raw.githubusercontent.com/AlexeyAB/darknet/master/cfg/yolov4.cfg) - 245 MB: [yolov4.weights](https://drive.google.com/open?id=1cewMfusmPjYWbrnuJRuKhPMwRe_b9PaT) | ||
| * [yolov4.cfg](https://raw.githubusercontent.com/AlexeyAB/darknet/master/cfg/yolov4.cfg) - 245 MB: [yolov4.weights](https://drive.google.com/open?id=1cewMfusmPjYWbrnuJRuKhPMwRe_b9PaT) paper [Yolo v4](https://arxiv.org/abs/2004.10934) | ||
| * `width=608 height=608` in cfg: **65.7% [email protected] (43.5% [email protected]:0.95) - 34(R) FPS / 62(V) FPS** - 128.5 BFlops | ||
| * `width=512 height=512` in cfg: **64.9% [email protected] (43.0% [email protected]:0.95) - 45(R) FPS / 83(V) FPS** - 91.1 BFlops | ||
| * `width=416 height=416` in cfg: **62.8% [email protected] (41.2% [email protected]:0.95) - 55(R) FPS / 96(V) FPS** - 60.1 BFlops | ||
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