src/face3d/models/arcface_torch/docs/eval.md

## Eval on ICCV2021-MFR

coming soon.


## Eval IJBC
You can eval ijbc with pytorch or onnx.


1. Eval IJBC With Onnx
```shell

CUDA_VISIBLE_DEVICES=0 python onnx_ijbc.py --model-root ms1mv3_arcface_r50 --image-path IJB_release/IJBC --result-dir ms1mv3_arcface_r50

```

2. Eval IJBC With Pytorch
```shell

CUDA_VISIBLE_DEVICES=0,1 python eval_ijbc.py \

--model-prefix ms1mv3_arcface_r50/backbone.pth \

--image-path IJB_release/IJBC \

--result-dir ms1mv3_arcface_r50 \

--batch-size 128 \

--job ms1mv3_arcface_r50 \

--target IJBC \

--network iresnet50

```

## Inference

```shell

python inference.py --weight ms1mv3_arcface_r50/backbone.pth --network r50

```