首页 人工智能 深度学习     /    YOLOv3目标检测算法的PyTorch实现(压缩包中包含240MB的预训练网络文件)

YOLOv3目标检测算法的PyTorch实现(压缩包中包含240MB的预训练网络文件)

上传者: discoverer100 | 上传时间:2025/9/12 14:12:34 | 文件大小:222.07MB | 文件类型:zip
YOLOv3目标检测算法的PyTorch实现(压缩包中包含240MB的预训练网络文件)
本资源为YOLOv3目标检测算法的PyTorch实现(出处:https://github.com/ayooshkathuria/pytorch-yolo-v3),本压缩包中包含了240MB的预训练网络文件,方便难以访问国外服务器的同学下载。
本软件ID:11052774

文件下载

资源详情

[{"title":"(36个子文件222.07MB)YOLOv3目标检测算法的PyTorch实现(压缩包中包含240MB的预训练网络文件)","children":[{"title":"pytorch-yolo-v3-master","children":[{"title":".gitignore <span style='color:#111;'>1.13KB</span>","children":null,"spread":false},{"title":"data","children":[{"title":"voc.names <span style='color:#111;'>135B</span>","children":null,"spread":false},{"title":"coco.names <span style='color:#111;'>625B</span>","children":null,"spread":false}],"spread":true},{"title":"__init__.py <span style='color:#111;'>0B</span>","children":null,"spread":false},{"title":"cam_demo.py <span style='color:#111;'>4.56KB</span>","children":null,"spread":false},{"title":"cfg","children":[{"title":"yolo-voc.cfg <span style='color:#111;'>2.67KB</span>","children":null,"spread":false},{"title":"tiny-yolo-voc.cfg <span style='color:#111;'>1.38KB</span>","children":null,"spread":false},{"title":"yolo.cfg <span style='color:#111;'>2.66KB</span>","children":null,"spread":false},{"title":"yolov3.cfg <span style='color:#111;'>8.15KB</span>","children":null,"spread":false}],"spread":true},{"title":"dog-cycle-car.png <span style='color:#111;'>339.30KB</span>","children":null,"spread":false},{"title":"pallete <span style='color:#111;'>908B</span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'>4.36KB</span>","children":null,"spread":false},{"title":"bbox.py <span style='color:#111;'>3.28KB</span>","children":null,"spread":false},{"title":"darknet.py <span style='color:#111;'>16.89KB</span>","children":null,"spread":false},{"title":"imgs","children":[{"title":"messi.jpg <span style='color:#111;'>123.89KB</span>","children":null,"spread":false},{"title":"img2.jpg <span style='color:#111;'>110.64KB</span>","children":null,"spread":false},{"title":"giraffe.jpg <span style='color:#111;'>373.99KB</span>","children":null,"spread":false},{"title":"person.jpg <span style='color:#111;'>111.21KB</span>","children":null,"spread":false},{"title":"eagle.jpg <span style='color:#111;'>138.56KB</span>","children":null,"spread":false},{"title":"img1.jpg <span style='color:#111;'>76.92KB</span>","children":null,"spread":false},{"title":"img3.jpg <span style='color:#111;'>100.36KB</span>","children":null,"spread":false},{"title":"img4.jpg <span style='color:#111;'>83.00KB</span>","children":null,"spread":false},{"title":"herd_of_horses.jpg <span style='color:#111;'>130.37KB</span>","children":null,"spread":false},{"title":"dog.jpg <span style='color:#111;'>159.92KB</span>","children":null,"spread":false},{"title":"scream.jpg <span style='color:#111;'>170.42KB</span>","children":null,"spread":false}],"spread":false},{"title":"video_demo_half.py <span style='color:#111;'>5.79KB</span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"darknet.cpython-35.pyc <span style='color:#111;'>12.87KB</span>","children":null,"spread":false},{"title":"preprocess.cpython-35.pyc <span style='color:#111;'>2.48KB</span>","children":null,"spread":false},{"title":"bbox.cpython-35.pyc <span style='color:#111;'>3.69KB</span>","children":null,"spread":false},{"title":"util.cpython-35.pyc <span style='color:#111;'>8.71KB</span>","children":null,"spread":false}],"spread":true},{"title":"util.py <span style='color:#111;'>12.66KB</span>","children":null,"spread":false},{"title":"video_demo.py <span style='color:#111;'>5.66KB</span>","children":null,"spread":false},{"title":"preprocess.py <span style='color:#111;'>1.86KB</span>","children":null,"spread":false},{"title":"yolov3.weights <span style='color:#111;'>236.52MB</span>","children":null,"spread":false},{"title":"det","children":null,"spread":false},{"title":"det_messi.jpg <span style='color:#111;'>232.69KB</span>","children":null,"spread":false},{"title":"detect.py <span style='color:#111;'>10.11KB</span>","children":null,"spread":false}],"spread":false}],"spread":true}]

评论信息

免责申明

【好快吧下载】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【好快吧下载】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【好快吧下载】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,8686821#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明