Comments (3)
hi! You can delete these unrelated codes, for example:
from .build import build_loader as _build_loader
def build_loader(config, simmim=False, is_pretrain=False):
if not simmim:
return _build_loader(config)
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Thank you for your reply. I have solved this problem according to your method
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Sorry to bother you again, can we apply the pre-trained model trained from scratch to the test set images and output the predicted images and metrics in this project?
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Related Issues (20)
- Query about the motivation HOT 3
- Hello, I am a beginner and I am encountering some problems that are causing my code to not run. Could you help me take a look at it? Thank you. HOT 3
- I When I run this command, the following error occurs. How can I resolve it?
- Pretrain weights for segmentation tasks HOT 2
- OutOfMemoryError HOT 2
- How to draw the Fig.4? HOT 1
- Can you design a bigger model like smt_huge? HOT 1
- I'm having a problem, can anyone help me with it please?
- mmdet HOT 1
- 如何进行语义分割训练
- 您好,如何画出Fig.4(a)Different Heads的图片? HOT 4
- About the pth file HOT 1
- pth文件的缺少 HOT 2
- ImportError: cannot import name 'TorchDispatchMode' from 'torch.utils._python_dispatch' HOT 1
- DW_Conv HOT 2
- Visualization of modulation values, relative receptive field HOT 3
- Hi author, I didn't find the SAM block in the code, please tell me where it is, thanks! HOT 4
- Long training time HOT 5
- train on IN-1K from scratch with smt_t; 65% top1 of 40 epoches. HOT 2
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