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FTLNet_Pytorch

Pytorch codes for Feature Transfer Learning for Face Recognition with Under-Represented Data

1. Introduction

• This repo is an unofficial implementation of Feature Transfer Learning for Face Recognition with Under-Represented Data (paper)

2. Build/Run docker environment

• Please build up docker environment and do everything in it.

  cd ./docker/
  ./build.sh

• When docker build is done, run docker to enter docker shell by

  cd ./docker/
  ./run.sh

3. Prepare Train and Verification Datasets

• download the refined emore dataset from InsightFace_Pytorch

• after unzip the files to 'data' path, run :

  python prepare_data.py

4. Train

• Train for pretrained model

  python train_pre.py

• Train with Feature Transfer Learning

  python train_ftl.py

5. References

• deepinsight/insightface
• InsightFace_Pytorch