Need help with binary-human-pose-estimation?
Click the “chat” button below for chat support from the developer who created it, or find similar developers for support.

About the developer

1adrianb
206 Stars 75 Forks BSD 3-Clause "New" or "Revised" License 16 Commits 7 Opened issues

Description

This code implements a demo of the Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources paper by Adrian Bulat and Georgios Tzimiropoulos.

Services available

!
?

Need anything else?

Contributors list

# 4,145
deep-lear...
deep-neur...
pytorch
Deep lear...
Awesome-pytorch-list 11.1K deep-learning-tutorial top 100

Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources

This code implements a demo of the Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources paper by Adrian Bulat and Georgios Tzimiropoulos.

For the Face Alignment demo please check: https://github.com/1adrianb/binary-face-alignment

Requirements

  • Install the latest Torch7 version (for Windows, please follow the instructions avaialable here)

Packages

Setup

Clone the github repository

bash
git clone https://github.com/1adrianb/binary-human-pose-estimation --recursive
cd binary-human-pose-estimation

Build and install the BinaryConvolution package

bash
cd bnn.torch/; luarocks make; cd ..;

Install the modified optnet package

bash
cd optimize-net/; luarocks make rocks/optnet-scm-1.rockspec; cd ..;

Run the following command to prepare the files required by the demo. This will download 10 images from the MPII dataset alongside the dataset structure converted to .t7

bash
th download-content.lua
Download the model available bellow and place it in the models folder.

Usage

In order to run the demo simply type:

bash
th main.lua

Pretrained models

| Layer type | Model Size | MPII error | | ------------- | ----------- | ----------- | | MPII | 1.3MB |76.0 |

Note: More pretrained models will be added soon

Notes

For more details/questions please visit the project page or send an email at [email protected]

We use cookies. If you continue to browse the site, you agree to the use of cookies. For more information on our use of cookies please see our Privacy Policy.