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mmaction

An open-source toolbox for action understanding based on PyTorch

mmaction2

OpenMMLab's Next Generation Action Understanding Toolbox and Benchmark

mobilenetv2-poseestimation

Tensorflow based Fast Pose estimation. OpenVINO, Tensorflow Lite, NCS, NCS2 + Python.

mocapnet

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).

monocular-visual-odometry

A simple monocular visual odometry (part of vSLAM) by ORB keypoints with initialization, tracking, local map and bundle adjustment. (WARNING: Hi, I'm sorry that this project is tuned for course demo, not for real world applications !!!)

monoculartotalcapture

Code for CVPR19 paper "Monocular Total Capture: Posing Face, Body and Hands in the Wild"

motionet

A deep neural network that directly reconstructs the motion of a 3D human skeleton from monocular video [ToG 2020]

mvision

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

myonlineedu-nodejs-mysql-docker

Code example for Node.js and MySQL and PHPMyAdmin docker container application

ncnn-webassembly-yolov5

Deploy YOLOv5 in your web browser with ncnn and webassembly

neural-slam

Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"

neuralnetwork_tutorial

noah-research

Noah Research

node-docker-nginx

Docker compose example for NodeJS and Nginx Reverse Proxy

onnx-hitnet-stereo-depth-estimation

Python scripts form performing stereo depth estimation using the HITNET model in ONNX.

openmmd

OpenMMD is an OpenPose-based application that can convert real-person videos to the motion files (.vmd) which directly implement the 3D model (e.g. Miku, Anmicius) animated movies.

openwork

有空就写点，没空就空着。

orb_slam2_detailed_comments

Detailed comments for ORB-SLAM2 with trouble-shooting, key formula derivation, and diagrammatic drawing

orbslam2_learn

Learn ORBSLAM2 and divide the source code into many parts according to their function which can be easily built by the learner from my blog.

part_darknet

build darknet from zeros

phormatics

Using A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)

pose-estimation

Pose Estimation Course

pose_to_smpl

A tool to fit SMPL parameters from 3D-pose datasets that contain key-points of human body.

pymaf-x

[TPAMI 2023] PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular Images

pytorch-parallel

Optimize an example model with Python, CPP, and CUDA extensions and Ring-Allreduce.

r2et

(CVPR 2023) Skinned Motion Retargeting with Residual Perception of Motion Semantics & Geometry

real-time-3d-pose-estimation-with-unity3d

resnet50_libtorch

selecsls-pytorch

Reference ImageNet implementation of SelecSLS CNN architecture proposed in the SIGGRAPH 2020 paper "XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera". The repository also includes code for pruning the model based on implicit sparsity emerging from adaptive gradient descent methods, as detailed in the CVPR 2019 paper "On implicit filter level sparsity in Convolutional Neural Networks".

semi-global-matching

Semi-Global Matching