Learning-Robust-3D-Face-Reconstruction-and-Discriminative-Identity-Representation

Getting started

Requirements
. Pytorch >=1.0
. Python >= 3.6
. Platform: Linux

Clone this repo
git clone https://github.com/Cluoyao/Learning-Robust-3D-Face-Reconstruction-and-Discriminative-Identity-Representation.git
Training dataset
Firstly, download train and test dataset train_aug_120x120.zip Baidu Yun or Google Drive and AFLW-2000-3D dataset Bidu Yun or Google Drive
Then, download pre-trained model in Baidu Yun Keywords:pymr, and put it into training_debug/logs
After that, you can run the verify_recognition.py to test face recognition.

Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
train.configs		train.configs
training_debug/logs		training_debug/logs
README.md		README.md
io_utils.py		io_utils.py
label_train_aug_120x120.list.train		label_train_aug_120x120.list.train
label_train_aug_120x120.list.val		label_train_aug_120x120.list.val
make_label.py		make_label.py
metrics.py		metrics.py
nme_for_3DReconstruction.py		nme_for_3DReconstruction.py
nme_for_alfw2000.py		nme_for_alfw2000.py
params.py		params.py
sia_extract_param.py		sia_extract_param.py
sia_loss.py		sia_loss.py
siamese_utils.py		siamese_utils.py
train_aug_120x120.list.train		train_aug_120x120.list.train
train_aug_120x120.list.val		train_aug_120x120.list.val
train_sia_network.py		train_sia_network.py
verification.py		verification.py
verify_recognition.py		verify_recognition.py
wpdc+identify+shp_constrain.py		wpdc+identify+shp_constrain.py
wpdc+identify_constrain.py		wpdc+identify_constrain.py
wpdc+shp_constrain.py		wpdc+shp_constrain.py