Comments (1)
--data/ --train/ --false/ img.jpg --true/ img.jpg --val/ --false/ img.jpg --true/ img.jpg 数据集是这个结构,训练代码:bash train.sh 1 --model nextvit_small --batch-size 256 --lr 5e-4 --warmup-epochs 20 --weight-decay 0.1 --data-path ./data 报错:FileNotFoundError: Found no valid file for the classes .ipynb_checkpoints. Supported extensions are: .jpg, .jpeg, .png, .ppm, .bmp, .pgm, .tif, .tiff, .webp 定位到代码里, dataset = datasets.ImageFolder(root, transform=transform),root读取不到false或者true的数据 请问怎么修改呢?我理解的是图像的文件夹名称代表的就是类别,训练过程应该是需要路径和类别两个数据才对呀
已解决,文件夹下有隐藏的 .ipynb_checkpoints文件夹
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Related Issues (20)
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