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Could you provide clean_train_filenames.pickle? #9

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ShunyuanZheng opened this issue Sep 20, 2022 · 3 comments
Closed

Could you provide clean_train_filenames.pickle? #9

ShunyuanZheng opened this issue Sep 20, 2022 · 3 comments

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@ShunyuanZheng
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Could you please provide the clean train data list in segm/data/coco.py's L85, since there may exist something different with the one generated on the whole training set of ImageNet.

@ShunyuanZheng
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ShunyuanZheng commented Sep 21, 2022

Thanks for your answering. But when run the training script, a .pickle file will be actually generated according to segm/data/coco.py's L88-L100 which covers all ImageNet training samples.

@shuchenweng
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Thanks for your answering. But when run the training script, a .pickle file will be actually generated according to segm/data/coco.py's L88-L100 which covers all ImageNet training samples.

Hi, sorry for the late reply, we provide the clean_train_filenames.pickle here, where we filter out the grayscale images in ImageNet without RGB ground truth. Unzip it and use it please.

@ShunyuanZheng
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Thanks for your answering. But when run the training script, a .pickle file will be actually generated according to segm/data/coco.py's L88-L100 which covers all ImageNet training samples.

Hi, sorry for the late reply, we provide the clean_train_filenames.pickle here, where we filter out the grayscale images in ImageNet without RGB ground truth. Unzip it and use it please.

Thanks!

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