人脸识别python实现源码（功能丰富）
可部署到云主机（Heroku，AWS……）！
使用dlib最先进的面部识别功能构建而成，具有深度学习功能。该模型在Wild标记的Labeled Faces中具有99.38％的准确度 。
这提供了一个简单的命令行工具，允许从命令行对图像文件夹进行面部识别！
1、找到图片中出现的所有面孔
2、获取每个人的眼睛，鼻子，嘴巴和下巴的位置和轮廓。
3、应用数字化妆
4、识别每张照片中出现的人物。
5、可以将此库与其他Python库一起使用来进行实时人脸识别。
使用要求
Python 3.3+或Python 2.7
macOS或Linux（Windows未正式支持，但可能有效）
人脸检测
在照片中找到面孔
在照片中找到面孔（使用深度学习）
使用GPU（使用深度学习）批量查找图像中的面孔
使用网络摄像头模糊实时视频中的所有人脸（需要安装OpenCV）
面部特征
识别照片中的特定面部特征
应用（可怕的丑陋）数字化妆
面部识别
根据已知人物的照片查找并识别照片中的未知面部
识别并在照片中的每个人周围绘制框
通过数字面部距离比较面部而不仅仅是真/假匹配
使用网络摄像头识别实时视频中的人脸 - 简单/慢速版本（需要安装OpenCV）
使用网络摄像头识别实时视频中的人脸 - 更快的版本（需要安装OpenCV）
识别视频文件中的面部并写出新的视频文件（需要安装OpenCV）
用相机识别Raspberry Pi上的脸部
运行Web服务以通过HTTP识别面部（需要安装Flask）
使用K近邻分类器识别面部
文件下载
资源详情
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