facenet-keras:这是一个facenet-keras的源码,可以用于训练自己的模型

上传者: 42127775 | 上传时间: 2021-05-26 22:54:22 | 文件大小: 12.02MB | 文件类型: ZIP
Facenet:人脸识别模型在Keras当中的实现 目录 性能情况 训练数据集 权值文件名称 测试数据集 输入图片大小 accuracy CASIA-WebFace LFW 160x160 97.86% CASIA-WebFace LFW 160x160 99.02% 所需环境 tensorflow-gpu==1.13.1 keras==2.1.5 文件下载 已经训练好的facenet_mobilenet.h5和facenet_inception_resnetv1.h5可以在百度网盘下载。 链接: 提取码: tj5r 训练用的CASIA-WebFaces数据集以及评估用的LFW数据集可以在百度网盘下载。 链接: 提取码: gkch 预测步骤 a、使用预训练权重 下载完库后解压,在model_data文件夹里已经有了facenet_mobilenet.h5,可直接运行predict.py

文件下载

资源详情

[{"title":"( 25 个子文件 12.02MB ) facenet-keras:这是一个facenet-keras的源码,可以用于训练自己的模型","children":[{"title":"facenet-keras-main","children":[{"title":"predict.py <span style='color:#111;'> 655B </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 3.02KB </span>","children":null,"spread":false},{"title":"utils","children":[{"title":"LFWdataset.py <span style='color:#111;'> 3.20KB </span>","children":null,"spread":false},{"title":"eval_metrics.py <span style='color:#111;'> 3.97KB </span>","children":null,"spread":false}],"spread":true},{"title":"test.py <span style='color:#111;'> 477B </span>","children":null,"spread":false},{"title":"eval_LFW.py <span style='color:#111;'> 3.31KB </span>","children":null,"spread":false},{"title":"train.py <span style='color:#111;'> 5.92KB </span>","children":null,"spread":false},{"title":"LICENSE <span style='color:#111;'> 1.04KB </span>","children":null,"spread":false},{"title":"datasets","children":[{"title":"README.md <span style='color:#111;'> 24B </span>","children":null,"spread":false}],"spread":true},{"title":"img","children":[{"title":"2_001.jpg <span style='color:#111;'> 2.17KB </span>","children":null,"spread":false},{"title":"1_002.jpg <span style='color:#111;'> 2.17KB </span>","children":null,"spread":false},{"title":"1_001.jpg <span style='color:#111;'> 2.23KB </span>","children":null,"spread":false}],"spread":true},{"title":"lfw","children":[{"title":"README.md <span style='color:#111;'> 18B </span>","children":null,"spread":false}],"spread":true},{"title":"facenet.py <span style='color:#111;'> 3.85KB </span>","children":null,"spread":false},{"title":"常见问题汇总.md <span style='color:#111;'> 4.18KB </span>","children":null,"spread":false},{"title":"nets","children":[{"title":"facenet_training.py <span style='color:#111;'> 9.19KB </span>","children":null,"spread":false},{"title":"mobilenet.py <span style='color:#111;'> 3.59KB </span>","children":null,"spread":false},{"title":"facenet.py <span style='color:#111;'> 1.77KB </span>","children":null,"spread":false},{"title":"inception_resnetv1.py <span style='color:#111;'> 6.92KB </span>","children":null,"spread":false}],"spread":true},{"title":"triplet_loss_test.py <span style='color:#111;'> 923B </span>","children":null,"spread":false},{"title":"txt_annotation.py <span style='color:#111;'> 759B </span>","children":null,"spread":false},{"title":"model_data","children":[{"title":"facenet_mobilenet.h5 <span style='color:#111;'> 13.02MB </span>","children":null,"spread":false},{"title":"lfw_pair.txt <span style='color:#111;'> 157.55KB </span>","children":null,"spread":false},{"title":"roc_test.png <span style='color:#111;'> 29.98KB </span>","children":null,"spread":false}],"spread":false},{"title":"logs","children":[{"title":"README.md <span style='color:#111;'> 38B </span>","children":null,"spread":false}],"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