# InsightFace准备部署模型 - [InsightFace](https://github.com/deepinsight/insightface/commit/babb9a5) - (1)[官方库](https://github.com/deepinsight/insightface/)中提供的*.pt通过[导出ONNX模型](#导出ONNX模型)操作后,可进行部署; - (2)开发者基于自己数据训练的InsightFace模型,可按照[导出ONNX模型](#%E5%AF%BC%E5%87%BAONNX%E6%A8%A1%E5%9E%8B)后,完成部署。 ## 支持模型列表 目前FastDeploy支持如下模型的部署 - ArcFace - CosFace - PartialFC - VPL ## 导出ONNX模型 以ArcFace为例: 访问[ArcFace](https://github.com/deepinsight/insightface/tree/master/recognition/arcface_torch)官方github库,按照指引下载安装,下载pt模型文件,利用 `torch2onnx.py` 得到`onnx`格式文件。 * 下载ArcFace模型文件 ``` Link: https://pan.baidu.com/share/init?surl=CL-l4zWqsI1oDuEEYVhj-g code: e8pw ``` * 导出onnx格式文件 ```bash PYTHONPATH=. python ./torch2onnx.py ms1mv3_arcface_r100_fp16/backbone.pth --output ms1mv3_arcface_r100.onnx --network r100 --simplify 1 ``` ## 下载预训练ONNX模型 为了方便开发者的测试,下面提供了InsightFace导出的各系列模型,开发者可直接下载使用。(下表中模型的精度来源于源官方库)其中精度指标来源于InsightFace中对各模型的介绍,详情各参考InsightFace中的说明 | 模型 | 大小 | 精度 (AgeDB_30) | |:---------------------------------------------------------------- |:----- |:----- | | [CosFace-r18](https://bj.bcebos.com/paddlehub/fastdeploy/glint360k_cosface_r18.onnx) | 92MB | 97.7 | | [CosFace-r34](https://bj.bcebos.com/paddlehub/fastdeploy/glint360k_cosface_r34.onnx) | 131MB | 98.3| | [CosFace-r50](https://bj.bcebos.com/paddlehub/fastdeploy/glint360k_cosface_r50.onnx) | 167MB | 98.3 | | [CosFace-r100](https://bj.bcebos.com/paddlehub/fastdeploy/glint360k_cosface_r100.onnx) | 249MB | 98.4 | | [ArcFace-r18](https://bj.bcebos.com/paddlehub/fastdeploy/ms1mv3_arcface_r18.onnx) | 92MB | 97.7 | | [ArcFace-r34](https://bj.bcebos.com/paddlehub/fastdeploy/ms1mv3_arcface_r34.onnx) | 131MB | 98.1| | [ArcFace-r50](https://bj.bcebos.com/paddlehub/fastdeploy/ms1mv3_arcface_r50.onnx) | 167MB | - | | [ArcFace-r100](https://bj.bcebos.com/paddlehub/fastdeploy/ms1mv3_arcface_r100.onnx) | 249MB | 98.4 | | [ArcFace-r100_lr0.1](https://bj.bcebos.com/paddlehub/fastdeploy/ms1mv3_r100_lr01.onnx) | 249MB | 98.4 | | [PartialFC-r34](https://bj.bcebos.com/paddlehub/fastdeploy/partial_fc_glint360k_r50.onnx) | 167MB | -| | [PartialFC-r50](https://bj.bcebos.com/paddlehub/fastdeploy/partial_fc_glint360k_r100.onnx) | 249MB | - | ## 详细部署文档 - [Python部署](python) - [C++部署](cpp) ## 版本说明 - 本版本文档和代码基于[InsightFace CommitID:babb9a5](https://github.com/deepinsight/insightface/commit/babb9a5) 编写