{"id":13396374,"url":"https://github.com/pjreddie/darknet","last_synced_at":"2025-05-15T00:06:26.274Z","repository":{"id":15924922,"uuid":"18666758","full_name":"pjreddie/darknet","owner":"pjreddie","description":"Convolutional Neural Networks","archived":false,"fork":false,"pushed_at":"2024-05-03T13:53:58.000Z","size":6526,"stargazers_count":26161,"open_issues_count":1980,"forks_count":21316,"subscribers_count":909,"default_branch":"master","last_synced_at":"2025-05-15T00:04:15.217Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"http://pjreddie.com/darknet/","language":"C","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/pjreddie.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2014-04-11T07:59:16.000Z","updated_at":"2025-05-14T22:19:17.000Z","dependencies_parsed_at":"2022-07-08T07:40:02.204Z","dependency_job_id":"e116e658-b2a5-45a0-83b0-b76233c47809","html_url":"https://github.com/pjreddie/darknet","commit_stats":{"total_commits":428,"total_committers":12,"mean_commits":"35.666666666666664","dds":0.08878504672897192,"last_synced_commit":"f6afaabcdf85f77e7aff2ec55c020c0e297c77f9"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pjreddie%2Fdarknet","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pjreddie%2Fdarknet/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pjreddie%2Fdarknet/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pjreddie%2Fdarknet/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/pjreddie","download_url":"https://codeload.github.com/pjreddie/darknet/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":254249199,"owners_count":22039029,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-07-30T18:00:48.370Z","updated_at":"2025-05-15T00:06:26.215Z","avatar_url":"https://github.com/pjreddie.png","language":"C","funding_links":[],"categories":["C","Machine Learning","Computer Vision","Classification models","C语言","进程间通信","AI","Research \u0026 Data Analysis","Deep Learning"],"sub_categories":["Tools","[Tools](#tools-1)","Classification \u0026 Detection \u0026 Tracking","机器学习"],"readme":"![Darknet Logo](http://pjreddie.com/media/files/darknet-black-small.png)\n\n# Darknet #\nDarknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation.\n\n**Discord** invite link for for communication and questions: https://discord.gg/zSq8rtW\n\n## YOLOv7: \n\n* **paper** - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors: https://arxiv.org/abs/2207.02696\n\n* **source code - Pytorch (use to reproduce results):** https://github.com/WongKinYiu/yolov7\n\n----\n\nOfficial YOLOv7 is more accurate and faster than YOLOv5 by **120%** FPS, than YOLOX by **180%** FPS, than Dual-Swin-T by **1200%** FPS, than ConvNext by **550%** FPS, than SWIN-L by **500%** FPS.\n\nYOLOv7 surpasses all known object detectors in both speed and accuracy in the range from 5 FPS to 160 FPS and has the highest accuracy 56.8% AP among all known real-time object detectors with 30 FPS or higher on GPU V100, batch=1.\n\n* YOLOv7-e6 (55.9% AP, 56 FPS V100 b=1) by `+500%` FPS faster than SWIN-L Cascade-Mask R-CNN (53.9% AP, 9.2 FPS A100 b=1)\n* YOLOv7-e6 (55.9% AP, 56 FPS V100 b=1) by `+550%` FPS faster than ConvNeXt-XL C-M-RCNN (55.2% AP, 8.6 FPS A100 b=1)\n* YOLOv7-w6 (54.6% AP, 84 FPS V100 b=1) by `+120%` FPS faster than YOLOv5-X6-r6.1 (55.0% AP, 38 FPS V100 b=1)\n* YOLOv7-w6 (54.6% AP, 84 FPS V100 b=1) by `+1200%` FPS faster than Dual-Swin-T C-M-RCNN (53.6% AP, 6.5 FPS V100 b=1)\n* YOLOv7x (52.9% AP, 114 FPS V100 b=1) by `+150%` FPS faster than PPYOLOE-X (51.9% AP, 45 FPS V100 b=1)\n* YOLOv7 (51.2% AP, 161 FPS V100 b=1) by `+180%` FPS faster than YOLOX-X (51.1% AP, 58 FPS V100 b=1)\n\n----\n\n![more5](https://user-images.githubusercontent.com/4096485/179425274-f55a36d4-8450-4471-816b-8c105841effd.jpg)\n\n----\n\n![image](https://user-images.githubusercontent.com/4096485/177675030-a929ee00-0eba-4d93-95c2-225231d0fd61.png)\n\n\n----\n\n![yolov7_640_1280](https://user-images.githubusercontent.com/4096485/177688869-d75e0c36-63af-46ec-bdbd-81dbb281f257.png)\n\n----\n\n## Scaled-YOLOv4: \n\n* **paper (CVPR 2021)**: https://openaccess.thecvf.com/content/CVPR2021/html/Wang_Scaled-YOLOv4_Scaling_Cross_Stage_Partial_Network_CVPR_2021_paper.html\n\n* **source code - Pytorch (use to reproduce results):** https://github.com/WongKinYiu/ScaledYOLOv4\n\n* **source code - Darknet:** https://github.com/AlexeyAB/darknet\n\n* **Medium:** https://alexeyab84.medium.com/scaled-yolo-v4-is-the-best-neural-network-for-object-detection-on-ms-coco-dataset-39dfa22fa982?source=friends_link\u0026sk=c8553bfed861b1a7932f739d26f487c8\n\n## YOLOv4:\n\n* **paper:** https://arxiv.org/abs/2004.10934\n\n* **source code:** https://github.com/AlexeyAB/darknet\n\n* **Wiki:** https://github.com/AlexeyAB/darknet/wiki\n\n* **useful links:** https://medium.com/@alexeyab84/yolov4-the-most-accurate-real-time-neural-network-on-ms-coco-dataset-73adfd3602fe?source=friends_link\u0026sk=6039748846bbcf1d960c3061542591d7\n\nFor more information see the [Darknet project website](http://pjreddie.com/darknet).\n\n\n\u003cdetails\u003e\u003csummary\u003e \u003cb\u003eExpand\u003c/b\u003e \u003c/summary\u003e\n\n![yolo_progress](https://user-images.githubusercontent.com/4096485/146988929-1ed0cbec-1e01-4ad0-b42c-808dcef32994.png) https://paperswithcode.com/sota/object-detection-on-coco\n\n----\n\n![scaled_yolov4](https://user-images.githubusercontent.com/4096485/112776361-281d8380-9048-11eb-8083-8728b12dcd55.png) AP50:95 - FPS (Tesla V100) Paper: https://arxiv.org/abs/2011.08036\n\n----\n\n![YOLOv4Tiny](https://user-images.githubusercontent.com/4096485/101363015-e5c21200-38b1-11eb-986f-b3e516e05977.png)\n\n----\n\n![YOLOv4](https://user-images.githubusercontent.com/4096485/90338826-06114c80-dff5-11ea-9ba2-8eb63a7409b3.png)\n\n\u003c/details\u003e\n\n----\n\n![OpenCV_TRT](https://user-images.githubusercontent.com/4096485/90338805-e5e18d80-dff4-11ea-8a68-5710956256ff.png)\n\n\n## Citation\n\n\n```\n@misc{https://doi.org/10.48550/arxiv.2207.02696,\n  doi = {10.48550/ARXIV.2207.02696},\n  url = {https://arxiv.org/abs/2207.02696},\n  author = {Wang, Chien-Yao and Bochkovskiy, Alexey and Liao, Hong-Yuan Mark},\n  keywords = {Computer Vision and Pattern Recognition (cs.CV), FOS: Computer and information sciences, FOS: Computer and information sciences},\n  title = {YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors},\n  publisher = {arXiv},\n  year = {2022}, \n  copyright = {arXiv.org perpetual, non-exclusive license}\n}\n```\n\n```\n@misc{bochkovskiy2020yolov4,\n      title={YOLOv4: Optimal Speed and Accuracy of Object Detection}, \n      author={Alexey Bochkovskiy and Chien-Yao Wang and Hong-Yuan Mark Liao},\n      year={2020},\n      eprint={2004.10934},\n      archivePrefix={arXiv},\n      primaryClass={cs.CV}\n}\n```\n\n```\n@InProceedings{Wang_2021_CVPR,\n    author    = {Wang, Chien-Yao and Bochkovskiy, Alexey and Liao, Hong-Yuan Mark},\n    title     = {{Scaled-YOLOv4}: Scaling Cross Stage Partial Network},\n    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n    month     = {June},\n    year      = {2021},\n    pages     = {13029-13038}\n}\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpjreddie%2Fdarknet","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpjreddie%2Fdarknet","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpjreddie%2Fdarknet/lists"}