(源码)基于Python和Pytorch的人像卡通化系统.zip

上传者: m0_62153576 | 上传时间: 2025-04-09 14:10:54 | 文件大小: 5.24MB | 文件类型: ZIP
# 基于Python和Pytorch的人像卡通化系统 ## 项目简介 本项目致力于将真实人像照片转换为具有写实风格的卡通图像,在保留原图像ID信息和纹理细节的同时,呈现出卡通画的简洁Q萌感。由于任务中输入输出轮廓并非一一对应,且成对数据获取难度大、成本高,因此采用unpaired image translation方法。在经典的CycleGAN生成结果易出现伪影且不稳定的情况下,基于U GAT IT模型进行改进,增加Face ID Loss和提出Soft AdaLIN归一化方法,并在模型结构上增加hourglass模块,同时对数据进行预处理以降低训练难度。 ## 项目的主要特性和功能 1. 写实卡通风格转换实现将真实人像照片转换为具有写实风格的卡通图像,保留明确身份信息。 2. 独特归一化方法提出Soft AdaLIN归一化方法,融合编码器与解码器的均值方差。

文件下载

资源详情

[{"title":"( 35 个子文件 5.24MB ) (源码)基于Python和Pytorch的人像卡通化系统.zip","children":[{"title":"facecrop","children":[{"title":"faceCrop.py_tmp <span style='color:#111;'> 1.34KB </span>","children":null,"spread":false},{"title":"faceCrop.py <span style='color:#111;'> 5.40KB </span>","children":null,"spread":false}],"spread":true},{"title":"main.py <span style='color:#111;'> 4.26KB </span>","children":null,"spread":false},{"title":"face_detector_track.py <span style='color:#111;'> 5.03KB </span>","children":null,"spread":false},{"title":"LICENSE <span style='color:#111;'> 1.07KB </span>","children":null,"spread":false},{"title":"dataset.py <span style='color:#111;'> 5.58KB </span>","children":null,"spread":false},{"title":"utils","children":[{"title":"utils.py <span style='color:#111;'> 7.18KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 654B </span>","children":null,"spread":false},{"title":"face_seg.py <span style='color:#111;'> 3.31KB </span>","children":null,"spread":false},{"title":"preprocess.py <span style='color:#111;'> 9.13KB </span>","children":null,"spread":false},{"title":"face_detect.py <span style='color:#111;'> 4.18KB </span>","children":null,"spread":false}],"spread":true},{"title":"face.py <span style='color:#111;'> 3.00KB </span>","children":null,"spread":false},{"title":"models","children":[{"title":"__init__.py <span style='color:#111;'> 1.08KB </span>","children":null,"spread":false},{"title":"UGATIT_sadalin_hourglass.py <span style='color:#111;'> 26.96KB </span>","children":null,"spread":false},{"title":"face_features.py <span style='color:#111;'> 2.24KB </span>","children":null,"spread":false},{"title":"networks.py <span style='color:#111;'> 19.83KB </span>","children":null,"spread":false},{"title":"mobilefacenet.py <span style='color:#111;'> 11.15KB </span>","children":null,"spread":false}],"spread":true},{"title":"images","children":[{"title":"cartoon_result3.jpg <span style='color:#111;'> 23.90KB </span>","children":null,"spread":false},{"title":"data_process.jpg <span style='color:#111;'> 100.93KB </span>","children":null,"spread":false},{"title":"video_test.mp4 <span style='color:#111;'> 2.57MB </span>","children":null,"spread":false},{"title":"QRcode.jpg <span style='color:#111;'> 99.89KB </span>","children":null,"spread":false},{"title":"photo_test.jpg <span style='color:#111;'> 606.81KB </span>","children":null,"spread":false},{"title":"title.png <span style='color:#111;'> 598.73KB </span>","children":null,"spread":false},{"title":"cartoon_result2.png <span style='color:#111;'> 44.44KB </span>","children":null,"spread":false},{"title":"cartoon_result.png <span style='color:#111;'> 677.86KB </span>","children":null,"spread":false},{"title":"results.png <span style='color:#111;'> 626.77KB </span>","children":null,"spread":false},{"title":"photo_result.png <span style='color:#111;'> 56.90KB </span>","children":null,"spread":false},{"title":"cartoon_result.jpg <span style='color:#111;'> 19.74KB </span>","children":null,"spread":false}],"spread":false},{"title":"tools.py <span style='color:#111;'> 2.82KB </span>","children":null,"spread":false},{"title":"train.py <span style='color:#111;'> 4.99KB </span>","children":null,"spread":false},{"title":"test.py <span style='color:#111;'> 3.70KB </span>","children":null,"spread":false},{"title":"Photo2Cartoon.py <span style='color:#111;'> 3.47KB </span>","children":null,"spread":false},{"title":"test_onnx.py <span style='color:#111;'> 3.33KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 4.39KB </span>","children":null,"spread":false},{"title":"data_process.py <span style='color:#111;'> 2.47KB </span>","children":null,"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