chenxuanhong
32 lines
655 B
Markdown
32 lines
655 B
Markdown
## Eval on ICCV2021-MFR
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coming soon.
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## Eval IJBC
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You can eval ijbc with pytorch or onnx.
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1. Eval IJBC With Onnx
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```shell
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CUDA_VISIBLE_DEVICES=0 python onnx_ijbc.py --model-root ms1mv3_arcface_r50 --image-path IJB_release/IJBC --result-dir ms1mv3_arcface_r50
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```
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2. Eval IJBC With Pytorch
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```shell
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CUDA_VISIBLE_DEVICES=0,1 python eval_ijbc.py \
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--model-prefix ms1mv3_arcface_r50/backbone.pth \
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--image-path IJB_release/IJBC \
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--result-dir ms1mv3_arcface_r50 \
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--batch-size 128 \
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--job ms1mv3_arcface_r50 \
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--target IJBC \
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--network iresnet50
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```
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## Inference
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```shell
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python inference.py --weight ms1mv3_arcface_r50/backbone.pth --network r50
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```
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