wjf5203 / SeqFormer

SeqFormer: Sequential Transformer for Video Instance Segmentation (ECCV 2022 Oral)

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The test score is 0.0

jangeunha1119 opened this issue · comments

I am using the seqformer you provided well and thank you.
The performance when you execute the test code and upload the results.zip to the codalab server is 0.0. The following is the command to conduct the test.
python3 inference.py --masks --backbone resnet50 --model_path weights/r50_weight.pth --save_path results.json
I used SeqFormer_ablation's .pth file downloaded from model zoo.
If I'm doing something wrong, please let me know the answer. Thank you!

This was solved by the data parallel problem when using multi GPU. The problem has been solved, so I'll close this issue.