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正样本对构建问题

作者您好:
复现代码的过程中,遇到了一些问题,希望能得到您的解答。main.py文件里面的正样本对构建有出入,正负样本是一样的图片吗?并且data_loader_train在dataloader那边是可以取到数据的,然后到了训练的时候,图像数据就是空的,标签数据还在。
50a0ab0653cdbd9654a358512aa02d4并报错
4b5256704a8f5d9e58d82eb4ef3cb96
拿data_loader_val的数据集去train,虽然跑不通,后面有维度问题,但是标签和这个img里面的内容是有的。具体的维度问题是:正常val时,数据维度是[B,3,448,448],但拿val的数据train时,经过这段代码
88ceebebe9f751ec227bf5bc7037e8f
维度会变为[B*3,448,448]。期待您的回复,谢谢!

Error loading pre-trained model

Hello, when I run sh scripts/run_gene.sh, when loading the pre-trained model, the following error occurs:

traceback : Traceback (most recent call last):
File "/home/image/anaconda3/envs/plant_diseases/lib/python3.9/site-packages/torch/distributed/elastic/multiprocessing/errors/init.py", line 345, in wrapper
return f(*args, **kwargs)
File "/home/image/plant_disease/CLEViT/main.py", line 94, in main
load_pretrained(config, model_without_ddp, logger)
File "/home/image/plant_disease/CLEViT/utils.py", line 206, in load_pretrained
relative_position_bias_table_current = model.state_dict()[k]
KeyError: 'layers.2.blocks.6.attn.relative_position_bias_table'

我该如何训练自己的数据集?

感谢你做出的工作,我是一个初学者,我需要如何进行对比学习预训练,如何用在我自己的细粒度视觉分类数据集上呢?是修改main.py中的参数is_pretrain吗?

Questions about code reproduction

Hi Author, We are having the following problem with the reproduction process.

scripts/run_gene.sh: line 2: logs/gene/gene_sb7_fullb_np2_lr2e-3_mul5_bs12_448_ep200_linear_ee2: No such file or directory
tail: cannot open 'logs/gene/gene_sb7_fullb_np2_lr2e-3_mul5_bs12_448_ep200_linear_ee2' for reading: No such file or directory
tail: no files remaining

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