hairstyle-classification:定制的高端模型或训练有素的EfficientNet可以对发型进行分类

上传者: 42102713 | 上传时间: 2022-04-15 14:04:04 | 文件大小: 1.25MB | 文件类型: ZIP
发型分类 预处理 opencv人脸检测=>裁剪=>提升(作为第一个输入图像) opencv分割(作为第二个输入图像) DNN网络架构 表现 损耗曲线 准确性 避免过度拟合(例如) 不复杂的网络架构 添加Dropout和BatchNormarize 增加火车数据集 将L1或L2正则化器添加到层 参考

文件下载

资源详情

[{"title":"( 55 个子文件 1.25MB ) hairstyle-classification:定制的高端模型或训练有素的EfficientNet可以对发型进行分类","children":[{"title":"hairstyle-classification-main","children":[{"title":"load.py <span style='color:#111;'> 895B </span>","children":null,"spread":false},{"title":"layers","children":[{"title":"squeeze_excitation_layer.py <span style='color:#111;'> 908B </span>","children":null,"spread":false},{"title":"wide_resblock.py <span style='color:#111;'> 1.34KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"swish.py <span style='color:#111;'> 582B </span>","children":null,"spread":false},{"title":"mish.py <span style='color:#111;'> 862B </span>","children":null,"spread":false}],"spread":true},{"title":"train.py <span style='color:#111;'> 4.46KB </span>","children":null,"spread":false},{"title":"utils","children":[{"title":"references.txt <span style='color:#111;'> 115B </span>","children":null,"spread":false},{"title":"utils.py <span style='color:#111;'> 341B </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"EfficientNet_layername.txt <span style='color:#111;'> 105B </span>","children":null,"spread":false}],"spread":true},{"title":"EfficientNet_train.py <span style='color:#111;'> 3.19KB </span>","children":null,"spread":false},{"title":"images","children":[{"title":"acc.png <span style='color:#111;'> 159.10KB </span>","children":null,"spread":false},{"title":"faces","children":[{"title":"M2.png <span style='color:#111;'> 78.87KB </span>","children":null,"spread":false},{"title":"U2.png <span style='color:#111;'> 81.36KB </span>","children":null,"spread":false},{"title":"M3.png <span style='color:#111;'> 78.25KB </span>","children":null,"spread":false},{"title":"U4.png <span style='color:#111;'> 52.36KB </span>","children":null,"spread":false},{"title":"S1.png <span style='color:#111;'> 91.36KB </span>","children":null,"spread":false},{"title":"U5.png <span style='color:#111;'> 22.68KB </span>","children":null,"spread":false},{"title":"U3.png <span style='color:#111;'> 44.88KB </span>","children":null,"spread":false},{"title":"U1.png <span style='color:#111;'> 82.95KB </span>","children":null,"spread":false},{"title":"S4.png <span style='color:#111;'> 61.11KB </span>","children":null,"spread":false},{"title":"M4.png <span style='color:#111;'> 77.45KB </span>","children":null,"spread":false},{"title":"S3.png <span style='color:#111;'> 33.96KB </span>","children":null,"spread":false},{"title":"S2.png <span style='color:#111;'> 90.07KB </span>","children":null,"spread":false},{"title":"M1.png <span style='color:#111;'> 79.59KB </span>","children":null,"spread":false}],"spread":false},{"title":"model_training_curves_299x250.png <span style='color:#111;'> 25.19KB </span>","children":null,"spread":false},{"title":"DNN.png <span style='color:#111;'> 172.01KB </span>","children":null,"spread":false}],"spread":true},{"title":"model","children":[{"title":"InceptionV3_ConvNet.py <span style='color:#111;'> 6.13KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false}],"spread":true},{"title":"random_eraser","children":[{"title":"random_eraser.py <span style='color:#111;'> 1.25KB </span>","children":null,"spread":false}],"spread":true},{"title":"datasets","children":[{"title":"train","children":[{"title":"5","children":[{"title":"bun.jpeg <span style='color:#111;'> 7.65KB </span>","children":null,"spread":false}],"spread":true},{"title":"1","children":[{"title":"Bald.jpeg <span style='color:#111;'> 6.22KB </span>","children":null,"spread":false}],"spread":true},{"title":"4","children":[{"title":"curly.jpeg <span style='color:#111;'> 7.16KB </span>","children":null,"spread":false}],"spread":true},{"title":"2","children":[{"title":"Mohawk.jpeg <span style='color:#111;'> 7.79KB </span>","children":null,"spread":false}],"spread":false},{"title":"0","children":[{"title":"long.jpeg <span style='color:#111;'> 11.07KB </span>","children":null,"spread":false}],"spread":false},{"title":"3","children":[{"title":"ponytail.jpeg <span style='color:#111;'> 4.75KB </span>","children":null,"spread":false}],"spread":false}],"spread":true},{"title":"valid","children":[{"title":"5","children":[{"title":"bun.jpeg <span style='color:#111;'> 5.28KB </span>","children":null,"spread":false}],"spread":true},{"title":"1","children":[{"title":"Bald.jpeg <span style='color:#111;'> 6.03KB </span>","children":null,"spread":false}],"spread":true},{"title":"4","children":[{"title":"curly.jpeg <span style='color:#111;'> 5.80KB </span>","children":null,"spread":false}],"spread":false},{"title":"2","children":[{"title":"Mohawk.jpeg <span style='color:#111;'> 4.37KB </span>","children":null,"spread":false}],"spread":false},{"title":"0","children":[{"title":"long.jpeg <span style='color:#111;'> 6.67KB </span>","children":null,"spread":false}],"spread":false},{"title":"3","children":[{"title":"ponytail.jpeg <span style='color:#111;'> 6.71KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}],"spread":true},{"title":"README.md <span style='color:#111;'> 2.29KB </span>","children":null,"spread":false},{"title":"TTA_eval.py <span style='color:#111;'> 3.34KB </span>","children":null,"spread":false},{"title":"generator_train.py <span style='color:#111;'> 4.90KB </span>","children":null,"spread":false},{"title":"setup.sh <span style='color:#111;'> 139B </span>","children":null,"spread":false},{"title":"preprocessing","children":[{"title":"mask.py <span style='color:#111;'> 79B </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"flip.py <span style='color:#111;'> 187B </span>","children":null,"spread":false},{"title":"crop_sesize.py <span style='color:#111;'> 2.02KB </span>","children":null,"spread":false},{"title":"face_detection.py <span style='color:#111;'> 766B </span>","children":null,"spread":false},{"title":"cv_segment.py <span style='color:#111;'> 226B </span>","children":null,"spread":false}],"spread":false},{"title":"Docker","children":[{"title":"Dockerfile <span style='color:#111;'> 741B </span>","children":null,"spread":false},{"title":"Makefile <span style='color:#111;'> 271B </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