# VNect-tensorflow

**Repository Path**: einsteinbohr/VNect-tensorflow

## Basic Information

- **Project Name**: VNect-tensorflow
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-04-03
- **Last Updated**: 2021-04-03

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# VNect -- Tensorflow version
This project is the tensorflow implementation of [VNect: Real-time 3D Human Pose Estimation with a Single RGB Camera](http://gvv.mpi-inf.mpg.de/projects/VNect/), SIGGRAPH 2017.

This is not an official implementation. Please contact paper author for related model. 

## Environments
- Ubuntu 16.04
- Python 2.7
- Tensorflow 1.3.0
- OpenCV 3.3.0
- OpenGL (optional)

## Inference
- 1.Download model, put them in folder `models/weights`
- 2.Edit demo settings in shell script, `--device` `--demo_type` `--model_file` `--test_img` `--plot_2d` `--plot_3d`
- 3.If you have OpenGL, you can run `run_demo_tf_gl.sh` for faster rendering of 3d joints. Otherwise, run `run_demo_tf.sh`

# TODO
 - Some bugs in detected 3D joint locations.
 - Training part of model.