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Download scripts/face3d/models/arcface_torch/docs/eval.md from killbill007/backup: direct link, hf CLI and curl.
- Browser
- Download file 655 Bytes
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https://huggingface.co/killbill007/backup/resolve/main/scripts/face3d/models/arcface_torch/docs/eval.md
- Command line
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hf download hf://killbill007/backup/scripts/face3d/models/arcface_torch/docs/eval.md
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curl -L -o eval.md https://huggingface.co/killbill007/backup/resolve/main/scripts/face3d/models/arcface_torch/docs/eval.md
655 Bytes
Eval on ICCV2021-MFR
coming soon.
Eval IJBC
You can eval ijbc with pytorch or onnx.
- Eval IJBC With Onnx
CUDA_VISIBLE_DEVICES=0 python onnx_ijbc.py --model-root ms1mv3_arcface_r50 --image-path IJB_release/IJBC --result-dir ms1mv3_arcface_r50
- Eval IJBC With Pytorch
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
python inference.py --weight ms1mv3_arcface_r50/backbone.pth --network r50