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Bug: 数据集目录相关 #340
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bug
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mae的数据格式不需要lable,把每行的label去掉 |
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Thanks for your error report and we appreciate it a lot.
Checklist
Describe the bug
我在使用FastConvMAE在imagenet-1k数据集上做预训练的时候,报错为下图
我查看了报错的图片是存在的,不知道为什么路径报错后面会加上label,而且data_train_root无论怎么改报错的地址都不变就算为空也一样,而且就算我改变目录结构直接把图片放到imagenet文件夹而不是imagenet\train文件夹下时也报一样的错
To Reproduce
python -m torch.distributed.launch --nproc_per_node=3 --master_port=29930
tools/train.py
configs/selfsup/fast_convmae/fast_convmae_vit_base_patch16_8xb64_50e.py
--work_dir ./work_dir
--launcher pytorch
imagenet-1k格式如下
EasyCV/data/imagenet
└── train
└── n01440764
└── n01443537
└── ...
└── val
└── n01440764
└── n01443537
└── ...
└── meta
├── train.txt
├── val.txt
├── ...
Environment
Python: 3.7.16 (default, Jan 17 2023, 22:20:44) [GCC 11.2.0]
CUDA available: True
CUDA_HOME: /usr/local/cuda-11.7
NVCC: Build cuda_11.7.r11.7/compiler.31442593_0
GPU 0,1,2: NVIDIA Graphics Device
GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0
PyTorch: 1.8.0+cu111
PyTorch compiling details: PyTorch built with:
TorchVision: 0.9.0+cu111
OpenCV: 4.9.0
MMCV: 1.4.4
EasyCV: 0.11.6
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