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fix up

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Junhao Liang
2023-10-29 21:16:09 +08:00
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datasets/GREW/README.md
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@@ -83,4 +83,4 @@ CUDA_VISIBLE_DEVICES=0,1,2,3 python -m torch.distributed.launch --nproc_per_node
The result will be generated in your working directory, you must rename and compress it as the requirements before submitting.
## Evaluation locally
While the original grew treat both seq_01 and seq_02 as gallery, but there is no ground truth for probe. Therefore, it is nessesary to upload the submission file on grew competitation. We seperate test set to: seq_01 as gallery, seq_02 as probe. Then you can modify `eval_func` in the `./config/baseline/baseline_GREW.yaml` to `identification_real_scene`, you can obtain result localy like setting of OUMVLP.
While the original grew treat both seq_01 and seq_02 as gallery, but there is no ground truth for probe. Therefore, it is nessesary to upload the submission file on grew competitation. We seperate test set to: seq_01 as gallery, seq_02 as probe. Then you can modify `eval_func` in the `./config/baseline/baseline_GREW.yaml` to `evaluate_real_scene`, you can obtain result localy like setting of OUMVLP.