1adrianb / Binary Face Alignment
Licence: bsd-3-clause
Real time face alignment
Stars: ✭ 145
Programming Languages
lua
6591 projects
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Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources (Face Alignment demo)
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 human pose estimation demo please see https://github.com/1adrianb/binary-human-pose-estimation
Requirements
Packages
for pkg in cutorch nn cudnn xlua image gnuplot lua-cURL paths; do luarocks install ${pkg}; done
Setup
Clone the github repository
git clone https://github.com/1adrianb/binary-face-alignment --recursive
cd binary-face-alignment
Build and install the BinaryConvolution package
cd bnn.torch/; luarocks make; cd ..;
Install the modified optnet package
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 the AFLW2000-3D dataset alongside the converted dataset structure.
th download-content.lua
Usage
In order to run the demo simply type:
mkdir models && wget https://www.adrianbulat.com/downloads/BinaryHumanPose/facealignment_binary_aflw.t7 -O models/facealignment_binary_aflw.t7
th main.lua
Pretrained models
| Layer type | Model Size | AFLW2000-3D NME error |
|---|---|---|
| AFLW2000-3D | 1.4MB | 3.28 |
Note: More pretrained models will be added soon.
Notes
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