InsightFace Toolkit
Project description
## Python package of insightface README
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](https://1drv.ms/u/s!AswpsDO2toNKrUy0VktHTWgIQ0bn?e=UEF7C4), 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](https://1drv.ms/u/s!AswpsDO2toNKrU0ydGgDkrHPdJ3m?e=iVgZox), 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.
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