Comments (4)
pengzhiliang
commented on July 27, 2024
Take it easy.
You can use this dataset provided in timm here, which can directly read .tar files.
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wanng-ide
commented on July 27, 2024
Take it easy.
You can use this dataset provided in timm here, which can directly read .tar files.
Thank you !!
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wanng-ide
commented on July 27, 2024
@pengzhiliang Sorry to disturb you.
I meet a problem.
RuntimeError: Found 0 files in subfolders of: "data/ImageNet/val"
Supported extensions are: .jpg,.jpeg,.png,.ppm,.bmp,.pgm,.tif,.tiff,.webp
It is a subprocess.CalledProcessError.
However, I already put my val images in the "data/ImageNet/val" folder.
How is that possible...
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wanng-ide
commented on July 27, 2024
The pretraining codes are fine.
However, the finetune codes are not work .....
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Related Issues (20)
- pil_loader slowly
- typo error local-rank HOT 1
- TypeError: __init__() got an unexpected keyword argument 'pretrained_cfg'
- Do I need to specify the value of mask_ratio before finetune?
- training with 400 epoch has IndexError when training at the last iteration
- Which dataset is used for the released pretrained model?
- A warning when pretraining HOT 2
- Pretrained weight of vit-S
- Patch size for pretraining
- learning rate curve
- Visualize Problems HOT 2
- How to resume from the checkpoint?
- SimMIM test
- I wonder if you plan to release the mask prediction visualization code?
- RuntimeError: Given normalized_shape=[768], expected input with shape [*, 768], but got input of size[12]
- Visual loading model error HOT 6
- How to implement Layer-wise learning rate decay on ResNet?
- Error reported in code finetune, AttributeError: 'VisionTransformer' object has no attribute 'get_num_layers'.
- The import accimage cannot be parsed
- Is Mixup necessary for MAE fine-tuning?
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