Comments (4)
请参考https://github.com/BR-IDL/PaddleViT/tree/develop/image_classification/ViT#data-preparation
页面中的link:
train_list.txt
: list of relative paths and labels of training images. You can download it from: google/baiduval_list.txt
: list of relative paths and labels of validation images. You can download it from: google/baidu
请问是哪个页面没有展示链接?
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朱老师,您好,很喜欢您的课程,学习过您的《从零开始学视觉Transformer》,也听过您在论文复现营中的代码实现讲解,深入浅出,让我受益非浅,借这个机会跟您说下感谢!
谢谢朱老师的回复,是我自己没有找到data-preparation的链接,我是从源码datasets.py中class ImageNet2012Dataset的注释中找的链接,那个链接打不开,地址跟这个也不相符,建议修改一下吧,谢谢啦!
另外,我看现在的paddleViT 的项目中大部分模型都是提供了main_multi_gpu.py,请问可以提供一个main_single_gpu.py给我们学习吗?我记得以前有的,但是现在好像取消了?
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感谢回复。
- 已经在dataset.py 中修改comment的链接。
- main_multi_gpu.py 目前已经支持单GPU,只需要使用 CUDA_VISIBLE_DEVICES=0 就可以开启,如果遇到问题欢迎提issue。
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感谢回复,谢谢
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