OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

PoseFlow: Efficient Online Pose Tracking (BMVC'18)

💎 "Marker-less Augmented Reality" with OpenCV and OpenGL.

libfaceid is a research framework for prototyping of face recognition solutions. It seamlessly integrates multiple detection, recognition and liveness models w/ speech synthesis and speech recognition.

Real-time head pose estimation built with OpenCV and dlib

Aruco Markers for pose estimation

A python program to detect and classify hand pose using deep learning techniques

Code for paper "A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image". ICCV2019

php wrapper for opencv

Grade exams fast and accurately using a scanner 🖨 or your phone 🤳.

Python optical flow visualization following Baker et al. (ICCV 2007) as used by the MPI-Sintel challenge

pytorch implementation of MultiPoseNet (ECCV 2018, Muhammed Kocabas et al.)

Android virtual makeup app, apply cosmetics on human face.

An OpenCV/Qt based realtime application for Eulerian Video Magnification / Motion Magnification. Works with multiple videos and cameras at the same time and let's you export the magnified videos.

We present MocapNET2, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the Human 3.6 Million (H3.6M) dataset compared to the baseline method (MocapNET) while maintaining real-time performance (70 fps in CPU-only execution).

Learn OpenCV in 4 Hours - Code used in my Python and OpenCV course on freeCodeCamp.

⚾🤖⚾ Automatic baseball pitching overlay in realtime

基于u-net，cv2以及cnn的中文车牌定位，矫正和端到端识别软件，其中unet和cv2用于车牌定位和矫正，cnn进行车牌识别，unet和cnn都是基于tensorflow的keras实现

A digital watermark is a kind of marker covertly embedded in a noise-tolerant signal such as an audio, video or image data. It is typically used to identify ownership of the copyright of such signal. "Watermarking" is the process of hiding digital information in a carrier signal; the hidden information should, but does not need to, contain a relation to the carrier signal. Digital watermarks may be used to verify the authenticity or integrity of the carrier signal or to show the identity of its owners. It is prominently used for tracing copyright infringements and for banknote authentication.

PyTorch C++ inference with LibTorch