吴恩达课后编程作业】Course 4 - 卷积神经网络 - 第三周作业 - 车辆识别YOLO.zip

上传者: 39018604 | 上传时间: 2021-01-30 14:14:27 | 文件大小: 180.53MB | 文件类型: ZIP
YOLO,吴恩达课后编程作业,Course 4 - 卷积,训练model_data/yolov2.h5的项目,直接下载,查看我发的另一篇博客关于这个资源的使用

文件下载

资源详情

[{"title":"( 22 个子文件 180.53MB ) 吴恩达课后编程作业】Course 4 - 卷积神经网络 - 第三周作业 - 车辆识别YOLO.zip","children":[{"title":"YOLO","children":[{"title":"yad2k","children":[{"title":"utils","children":[{"title":"utils.py <span style='color:#111;'> 473B </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"__init__.cpython-37.pyc <span style='color:#111;'> 167B </span>","children":null,"spread":false},{"title":"utils.cpython-37.pyc <span style='color:#111;'> 826B </span>","children":null,"spread":false}],"spread":true},{"title":"draw_boxes.py <span style='color:#111;'> 3.28KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 21B </span>","children":null,"spread":false}],"spread":true},{"title":"models","children":[{"title":"keras_darknet19.py <span style='color:#111;'> 2.35KB </span>","children":null,"spread":false},{"title":"keras_yolo.py <span style='color:#111;'> 16.26KB </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"__init__.cpython-37.pyc <span style='color:#111;'> 146B </span>","children":null,"spread":false},{"title":"keras_yolo.cpython-37.pyc <span style='color:#111;'> 10.39KB </span>","children":null,"spread":false},{"title":"keras_darknet19.cpython-37.pyc <span style='color:#111;'> 2.21KB </span>","children":null,"spread":false}],"spread":true},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false}],"spread":true},{"title":"__pycache__","children":[{"title":"__init__.cpython-37.pyc <span style='color:#111;'> 139B </span>","children":null,"spread":false}],"spread":true},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false}],"spread":true},{"title":"yad2k.py <span style='color:#111;'> 10.38KB </span>","children":null,"spread":false},{"title":".idea","children":[{"title":"workspace.xml <span style='color:#111;'> 9.52KB </span>","children":null,"spread":false},{"title":"YOLO.iml <span style='color:#111;'> 464B </span>","children":null,"spread":false},{"title":"misc.xml <span style='color:#111;'> 294B </span>","children":null,"spread":false},{"title":"modules.xml <span style='color:#111;'> 267B </span>","children":null,"spread":false}],"spread":true},{"title":"yolov2.cfg <span style='color:#111;'> 2.91KB </span>","children":null,"spread":false},{"title":"yolov2.weights <span style='color:#111;'> 194.49MB </span>","children":null,"spread":false},{"title":"model_data","children":[{"title":".gitignore <span style='color:#111;'> 7B </span>","children":null,"spread":false},{"title":"yolov2_anchors.txt <span style='color:#111;'> 91B </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}]

评论信息

免责申明

【只为小站】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,【只为小站】 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 【只为小站】 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,zhiweidada#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