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nttstar committed Aug 13, 2022
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Expand Up @@ -12,9 +12,13 @@ of [ECCV-2022 WCPA Workshop](https://sites.google.com/view/wcpa2022).

## Data preparation

1. Download the dataset from WCPA organiser and put it in somewhere.
1. Download the dataset from WCPA organiser and put it at somewhere.

2. Use ``python rec_builder.py`` to generate cached dataset, which will be used in following steps.
2. Create `cache_align/` dir and put `flip_index.npy` file under it.

3. Check `configs/s1.py` and fix the location to yours.

4. Use ``python rec_builder.py`` to generate cached dataset, which will be used in following steps.


## Training
Expand All @@ -29,8 +33,13 @@ CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 python -u -m torch.distributed.launch --npr
python inference_simple.py
```

## Results
## Resources

TODO
[flip_index.npy](https://drive.google.com/file/d/1fZ4cRyvQeehwKoMKKSmXUmTx5GEJwyrT/view?usp=sharing)

[pretrained-model](https://drive.google.com/file/d/1qSpqDDLQfcPeFr2b82IZrK8QC_3lci3l/view?usp=sharing)

## Results

<img src="https://github.com/nttstar/insightface-resources/blob/master/images/jmlr_id.jpg?raw=true" width="800" alt="jmlr-id"/>

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