基于深度学习的车牌识别系统

上传者: m0_59604650 | 上传时间: 2023-04-20 09:52:54 | 文件大小: 271.82MB | 文件类型: ZIP
车牌识别,YOLOv3、Densenet、卷积神经网络、python

文件下载

资源详情

[{"title":"( 41 个子文件 271.82MB ) 基于深度学习的车牌识别系统","children":[{"title":"after","children":[{"title":"test_yolo_out_py.jpg <span style='color:#111;'> 280.77KB </span>","children":null,"spread":false},{"title":"models","children":[{"title":"model.h5 <span style='color:#111;'> 58.18MB </span>","children":null,"spread":false}],"spread":true},{"title":"test.jpg <span style='color:#111;'> 152.95KB </span>","children":null,"spread":false},{"title":"detecor.py <span style='color:#111;'> 4.65KB </span>","children":null,"spread":false},{"title":"object_detection_yolo.py <span style='color:#111;'> 6.57KB </span>","children":null,"spread":false},{"title":"2.jpg <span style='color:#111;'> 87.26KB </span>","children":null,"spread":false},{"title":"darknet-yolov3.cfg <span style='color:#111;'> 8.14KB </span>","children":null,"spread":false},{"title":"1.jpg <span style='color:#111;'> 81.27KB </span>","children":null,"spread":false},{"title":"gui.py <span style='color:#111;'> 4.91KB </span>","children":null,"spread":false},{"title":"train.py <span style='color:#111;'> 3.27KB </span>","children":null,"spread":false},{"title":"test","children":[{"title":"8.jpg <span style='color:#111;'> 20.92KB </span>","children":null,"spread":false},{"title":"1.jpg <span style='color:#111;'> 80.82KB </span>","children":null,"spread":false},{"title":"6.jpg <span style='color:#111;'> 336.42KB </span>","children":null,"spread":false},{"title":"3.jpg <span style='color:#111;'> 119.33KB </span>","children":null,"spread":false},{"title":"5.jpg <span style='color:#111;'> 30.72KB </span>","children":null,"spread":false},{"title":"4.jpg <span style='color:#111;'> 215.56KB </span>","children":null,"spread":false},{"title":"10.jpg <span style='color:#111;'> 42.09KB </span>","children":null,"spread":false},{"title":"9.jpg <span style='color:#111;'> 40.12KB </span>","children":null,"spread":false},{"title":"7.jpg <span style='color:#111;'> 32.39KB </span>","children":null,"spread":false}],"spread":true},{"title":"122.jpg <span style='color:#111;'> 25.81KB </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"dataset.cpython-36.pyc <span style='color:#111;'> 4.92KB </span>","children":null,"spread":false},{"title":"detect.cpython-36.pyc <span style='color:#111;'> 1.02KB </span>","children":null,"spread":false},{"title":"model.cpython-36.pyc <span style='color:#111;'> 1.88KB </span>","children":null,"spread":false},{"title":"detecor.cpython-36.pyc <span style='color:#111;'> 2.85KB </span>","children":null,"spread":false}],"spread":true},{"title":"lapi.weights <span style='color:#111;'> 233.83MB </span>","children":null,"spread":false},{"title":"dataset.py <span style='color:#111;'> 5.34KB </span>","children":null,"spread":false},{"title":"demo.py <span style='color:#111;'> 2.60KB </span>","children":null,"spread":false},{"title":"classes.names <span style='color:#111;'> 3B </span>","children":null,"spread":false},{"title":"detect.py <span style='color:#111;'> 1.37KB </span>","children":null,"spread":false},{"title":"character.txt <span style='color:#111;'> 201B </span>","children":null,"spread":false},{"title":"1111.jpg <span style='color:#111;'> 333.84KB </span>","children":null,"spread":false},{"title":"convert.py <span style='color:#111;'> 2.03KB </span>","children":null,"spread":false},{"title":"model.py <span style='color:#111;'> 2.01KB </span>","children":null,"spread":false},{"title":"_idea","children":[{"title":"car_plate_recongnize.iml <span style='color:#111;'> 330B </span>","children":null,"spread":false},{"title":"misc.xml <span style='color:#111;'> 300B </span>","children":null,"spread":false},{"title":"deployment.xml <span style='color:#111;'> 787B </span>","children":null,"spread":false},{"title":"modules.xml <span style='color:#111;'> 299B </span>","children":null,"spread":false},{"title":"_gitignore <span style='color:#111;'> 184B </span>","children":null,"spread":false},{"title":"workspace.xml <span style='color:#111;'> 5.89KB </span>","children":null,"spread":false},{"title":"inspectionProfiles","children":[{"title":"profiles_settings.xml <span style='color:#111;'> 174B </span>","children":null,"spread":false}],"spread":false}],"spread":false},{"title":"create_plate_dataset.py <span style='color:#111;'> 8.25KB </span>","children":null,"spread":false}],"spread":false}],"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