wjf5203 / SeqFormer

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

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OOM when training SeqFormer_swin_L on YouTube-VIS 2019 and COCO

JiaDingCN opened this issue · comments

Hi, thank you for your interesting work! I was trying to run your code but I meet OOM when training SeqFormer_swin_L on YouTube-VIS 2019 and COCO by your given script and command. I use 2 nodes and each node contains 8 V100 cards. Did I do something wrong?

@wjf5203 meet the same problem

The scales and max_size here should be set to [288, 320, 352, 392, 416] and 640 for swin_L backbone.

def make_coco_transforms(image_set):