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YOLOv4\n\n[![license](https://img.shields.io/github/license/mashape/apistatus.svg)](LICENSE)\n\n*NOTICE: This is a port of https://github.com/hunglc007/tensorflow-yolov4-tflite\n\nYOLOv4 Implemented in Tensorflow 1.15\n\n### Prerequisites\n[![LostTech.TensorFlow](https://img.shields.io/nuget/v/LostTech.TensorFlow.svg?label=nuget:%20LostTech.TensorFlow)](https://www.nuget.org/packages/LostTech.TensorFlow)\n\n### Performance\n\u003cp align=\"center\"\u003e\u003cimg src=\"data/performance.png\" width=\"640\"\\\u003e\u003c/p\u003e\n\n### Demo\n\nTBD\n\n#### Output\n\n##### Yolov4 original weight\n\u003cp align=\"center\"\u003e\u003cimg src=\"data/result.png\" width=\"640\"\\\u003e\u003c/p\u003e\n\n##### Yolov4 tflite int8\n\u003cp align=\"center\"\u003e\u003cimg src=\"data/result-int8.png\" width=\"640\"\\\u003e\u003c/p\u003e\n\n### Convert to ONNX\n\nTBD\n\n### Evaluate on COCO 2017 Dataset\n\nTBD\n\n# evaluate yolov4 model\n\nTBD\n\n#### mAP50 on COCO 2017 Dataset\n\n| Detection   | 512x512 | 416x416 | 320x320 |\n|-------------|---------|---------|---------|\n| YoloV3      | 55.43   |         |         |\n| YoloV4      | 61.96   | 57.33   |         |\n\n### Benchmark\n\nTBD\n\n#### Tesla P100\n\n| Detection   | 512x512 | 416x416 | 320x320 |\n|-------------|---------|---------|---------|\n| YoloV3 FPS  | 40.6    | 49.4    | 61.3    |\n| YoloV4 FPS  | 33.4    | 41.7    | 50.0    |\n\n#### Tesla K80\n\n| Detection   | 512x512 | 416x416 | 320x320 |\n|-------------|---------|---------|---------|\n| YoloV3 FPS  | 10.8    | 12.9    | 17.6    |\n| YoloV4 FPS  | 9.6     | 11.7    | 16.0    |\n\n#### Tesla T4\n\n| Detection   | 512x512 | 416x416 | 320x320 |\n|-------------|---------|---------|---------|\n| YoloV3 FPS  | 27.6    | 32.3    | 45.1    |\n| YoloV4 FPS  | 24.0    | 30.3    | 40.1    |\n\n#### Tesla P4\n\n| Detection   | 512x512 | 416x416 | 320x320 |\n|-------------|---------|---------|---------|\n| YoloV3 FPS  | 20.2    | 24.2    | 31.2    |\n| YoloV4 FPS  | 16.2    | 20.2    | 26.5    |\n\n#### Macbook Pro 15 (2.3GHz i7)\n\n| Detection   | 512x512 | 416x416 | 320x320 |\n|-------------|---------|---------|---------|\n| YoloV3 FPS  |         |         |         |\n| YoloV4 FPS  |         |         |         |\n\n### Traning your own model\n\nSample training code available at [samples/TrainV4](samples/TrainV4)\n\n### References\n\n  * YOLOv4: Optimal Speed and Accuracy of Object Detection [YOLOv4](https://arxiv.org/abs/2004.10934).\n  * [darknet](https://github.com/AlexeyAB/darknet)\n  \n   My project is inspired by these previous fantastic YOLOv3 implementations:\n  * [Yolov3 tensorflow](https://github.com/YunYang1994/tensorflow-yolov3)\n  * [Yolov3 tf2](https://github.com/zzh8829/yolov3-tf2)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flosttech%2Fyolov4","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flosttech%2Fyolov4","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flosttech%2Fyolov4/lists"}