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alphapose

Real-Time and Accurate Multi-Person Pose Estimation&Tracking System

awesome-human-pose-estimation

Human Pose Estimation Related Publication

caffemerge

calculator

Windows Calculator: A simple yet powerful calculator that ships with Windows

codesnap

darknet

Convolutional Neural Networks

deep-painterly-harmonization

Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189

deep-photo-styletransfer

Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511

deepcell-tf

Deep Learning for Single Cell Analysis

deeplearninginaction

WriteMyFirstBook

densepose

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

etl_unicorn

🔥 Deta ETL AI workflow tool software for data mining piple line operations include theme system. /德塔人工智能数据分析ETL 可重用节点工作流处理软件带皮肤系统。

facereconstruction

Facial Landmark Detection and head pose compute use dlib, Real time Face Reconstruction use 3D Morphable Face Model fitting

facsvatar

An Open Source Modular Framework From Face to FACS Based Avatar Animation (Unity3D / Blender)

fchd-fully-convolutional-head-detector

Code for FCHD - A fast and accurate head detector

go-learning

googletest

Automatically exported from code.google.com/p/googletest

gpu_nms_windows

python gpu_nms modules for windows

graph2plan

gyromocapue4

Simple Motion Capture based on gyro MPU-9250 and ESP32 in Unreal Engine

iipsrv

iipsrv is an advanced high-performance feature-rich image server for web-based streamed viewing and zooming of ultra high-resolution images.

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

luaholiday

lua,tolua++,register global object

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1500+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1500+页)和视频链接

mcg

Multiscale Combinatorial Grouping - State-of-the-art Object Proposals and Segmentation

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).

mpcdi

Scalable Display Technologies reference implementation of the MPCDI standard

multi-machine-fusion

多机同步播放拼接融合系统(Multi-Machine-Fusion)

multihand-tracking

A python wrapper for Mediapipe's Multi-Hand Tracking

mx-maskrcnn

An MXNet implementation of Mask R-CNN