翻译此结果MediaPipe Face Landmark Detection Face Detection: MediaPipe's Face Mesh model processes each video frame to detect faces. Landmark Detection: For each detected face, 468 landmarks are identified. Real 更多内容请查看https://github.com/icurtis1/mediapipe-face-tracking
https://blog.csdn.net › article › details › Mediapipe人脸关键点检测 MediaPipe是由google制作的开源的、跨平台的 机器学习 框架，可以将一些模型部署到不同的平台和设备上使用的同时，也能保住检测速度。 从图中可以发现，能在Python上实现的功能包括 人脸检测 （Face Detection） 缺失: face landmark必须包含: face landmark更多内容请查看https://blog.csdn.net/weixin_40062244/article/details/128283144
将Mediapipe生成的landmark转为face model 这篇文章是提供一套将 mediapipe 检测出的468个3D landmark转换成3D face model的思路与核心代码。 输入：包含人脸的image ; 输出：3D face model更多内容请查看https://zhuanlan.zhihu.com/p/428721675
chuoling.github.iohttps://chuoling.github.io › mediapipe › solutions › 翻译此结果Face Detection MediaPipe Face Detection is an ultrafast face detection solution that comes with 6 landmarks and multi-face support. It is based on BlazeFace, a lightweight and well-performing face detector tailored for mobile 更多内容请查看https://chuoling.github.io/mediapipe/solutions/face_detection.html
GitHubDetects facial landmarks using MediaPipe's FaceMesh. Extracts X, Y, and Z coordinates of facial key points. Optionally draws the facial landmarks on the input image. Supports static image 更多内容请查看https://github.com/Arnav-12/Face-Landmark-Detection-using-MediaPipe
