Insightface-tf

Intro

This repositories is a reimplementation of Insightface(github)
Training code is included, you can use your own data to train models
We are trying to use new features and Hight Level APIs in TesnsorFlow, such as Keras, Eager Execution, tf.data and so on. The code can even run successful under TF2.0 with a little changes
The recognition(github-recognition) with tf-1.14 has been reimplemented and the RetinaFace-tf will be upload soon

TODO List

recognition
- Backbones
  - ResNet_v1 [done]
- Losses
  - Arcface loss [done]
  - Cosface loss [done]
  - Sphereface loss [done]
  - Triplet loss [done]
  - Center loss [done]
- Training code [done]
- Evaluate [done]
- Freeze to pb model [todo]
RetinaFace [todo]

Running Environment

TensorFlow1.14
python 3.7
numpy, pyyaml, matplotlib (Anaconda 3 recommended)