pip install insightface and https://insightface.ai

are both online. Any suggestion is welcome! For pip source code, please refer to https://github.com/deepinsight/insightface/tree/master/python-package

2021.05.15 Update:

pip insightface-0.2.0 is ready now. Please update with pip install -U insightface

For insightface pip-package <= 0.1.5, we use MXNet as inference backend, please download all models from onedrive, and put them all under ~/.insightface/models/ directory.

Starting from insightface>=0.2, we use onnxruntime as inference backend, please download our antelope model release from onedrive, and put it under ~/.insightface/models/, so there’re onnx models at ~/.insightface/models/antelope/*.onnx.

The antelope model release contains ResNet100@Glint360K recognition model and SCRFD-10GF detection model. Please check deploy/test.py for detail.

[RomanSteinberg]

Hi,

1. Relative imports is a bad style which can cause building errors. Consider

from ..model_zoo import model_zoo

replace with

from insightface.model_zoo import model_zoo

1. You should check PEP8.
2. There is no minimal example to run in README. It will also answer questions like @Talgin asked.
3. There is a good practice called RAII. Your prepare methods contradict this idiom. Please, consider refactoring.

[huynhtruc0309]

How to choose det_size in detection model retinaface? Please help @nttstar