MobileFaceNets

PyTorch implementation of MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices. paper.

Performance

|Accuracy|LFW|MegaFace|Download| |---|---|---|---| |paper|99.55%|92.59%|| |ours|99.48%|82.55%|Link|

Dataset

Introduction

Refined MS-Celeb-1M dataset for training, 3,804,846 faces over 85,164 identities. LFW and Megaface datasets for testing.

Dependencies

• Python 3.6.8
• PyTorch 1.3.0

Usage

Data preprocess

Extract images:

$ python extract.py
$ python pre_process.py

Train

$ python train.py

To visualize the training process：

$ tensorboard --logdir=runs