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![image](https://github.com/user-attachments/assets/bfcb6ba7-7eb2-4803-90cf-debe766ee0b7)
我在deshadow文件夹训练正常,但是验证的时候就会显存爆炸,然后我更换显存更大的a800(80g显存)显卡也会爆。我在test也会发生显存爆炸的问题,如上图,请问有解决方法吗
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Hi, I want to ask what's the version of Pytorch you used?
I use the Pytorch 1.7.1 but met the following error when using RandAugment
Traceback (most recent call last):
File "data_augmentation_…
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Hi!
Could you put which autoencoding models correspond to which LDMs on the table, please?
Maybe I am missing this information somewhere, but it seems it's not clear which one is for which.
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nvcc -g -std=c++11 -I`python -c "import tensorflow; print(tensorflow.sysconfig.get_include())"` -I"/usr/local/cuda-8.0/include" -DGOOGLE_CUDA=1 -D_MWAITXINTRIN_H_INCLUDED -D_FORCE_INLINES -D__STRICT_A…
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Hello,
I ran into an issue when trying to use ImageDataAugmentor with a single directory, asking it to split into a training and validation set.
I have figured out two ways to acomplish this, bo…
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Hello
How are you?
Thanks for contribution to this project.
I'm NOT sure if this RMI loss would work well in case that we resize the image & mask to input size(NxN in pixels) without keeping width-…
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Thanks for your great work!
I am referring to your preprocessing code to handle my private dataset. However, it seems that the data_preprocess.py only implements preprocessing for the training set.…
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I find that in the original version of the FlowNet/ FlowNet-2,the data augmentation techniques include :
> translation
> rotation
> scaling
> gaussian noise
> contrast
> multiplicative color …
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### 論文へのリンク
[[arXiv:2004.00448] Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy](https://arxiv.org/abs/2004.00448)
### 著者・所属機関
Jaejun Yoo,…
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Thanks for the great work and code!
I want to reproduce the same augmentation policy(called genotype in your code) with the provided searching code. I folllow the description in ReadME.md and search …