Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
-
Updated
Aug 2, 2024 - Python
Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
Robust realtime face and facial landmark tracking on CPU with Unity integration
FaceVerse: a Fine-grained and Detail-controllable 3D Face Morphable Model from a Hybrid Dataset (CVPR2022)
[Official Code] Pixel3DMM: Versatile Screen-Space Priors for Single-Image 3D Face Reconstruction
Image processing using python and opencv
A better tensorflow implementation of deepinsight, aiming at smoothly production ready for cross-platforms. Currently only with inference, training code later.
二自由度云台实现人脸追踪。 首先是使用一款名字叫做IP摄像头的APP 采集手机摄像头的图像,在手机上建立一个视频流服务器。在局域网下,PC通过IP还有端口号获取图像。使用OpenCV的人脸检测的API获取人脸在画面中的位置,根据人脸位置距离画面中心的x轴与y轴的偏移量(offset) ,通过P比例控制(PID控制中最简单的一种)控制二自由度云台上臂与下臂的旋转角度,将角度信息通过串口通信UART发送给ESP32单片机(不限于ESP32,STM32,Arduino都可以)解析执行对应的操作,从而使得人脸尽可能处在画面的正中间。
face recognition, detection of facial attributes (age, gender, emotion and race) for python.
Google MediaPipe Face + Hands + Body + Object
[CVPR 2024 Highlight] MonoNPHM: Dynamic Head Reconstruction from Monoculuar Videos
Cool Vision projects
This is a Python 3 based project to display facial expressions by performing fast & accurate face detection with OpenCV using a pre-trained deep learning face detector model shipped with the library.
iBeta (Level 2) Certified, Single-Image Based Face Liveness Detection (Face Anti Spoofing) Server SDK
Free Face Tracking Module for facial motion capture in Blender
iBeta (Level 2) Certified, Single-Image Based Face Liveness Detection (Face Anti Spoofing) Server SDK
Face detection and recognition library that focuses on speed and ease of use.
This repo provides projects on deep-learning mainly using Tensorflow 2.0
MiniAiLive's Complete Document Liveness Detection Solution for Digital Onboarding
Comprehensive multifunctional AI project
Add a description, image, and links to the face-tracking topic page so that developers can more easily learn about it.
To associate your repository with the face-tracking topic, visit your repo's landing page and select "manage topics."