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tiny spell-fix

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chun 2024-06-09 01:48:54 +08:00
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@ -6,7 +6,7 @@ This is my first time to use PyTorch and git to reproduce a paper, so there may
## Update-2024.06.04
- modify the `train.py` to omit most of the args in command line, you can just us `python train.py --dataset ${dataset_name}` to train the model.
- modify the `train.py` to omit most of the args in command line, you can just use `python train.py --dataset ${dataset_name}` to train the model.
- add tensorboard to record the results in exp.
- add the `visualization/` file to visualize the result.
- add bash file to run the code in parallel.
@ -22,7 +22,7 @@ This is my first time to use PyTorch and git to reproduce a paper, so there may
## Demo
The model trained on cifar10 which is 32\*32 but test on kodim which is 768\*512 (left); and the model trained on imagenet which is resized to 128\*128 but test on kodim which is 768\*512 (right).
The model trained on cifar10 which is 32\*32 but test on kodim which is 768\*512 (top); and the model trained on imagenet which is resized to 128\*128 but test on kodim which is 768\*512 (bottom).
<div style="display: flex;">
<img src="./demo/cifar10_kodim08.png" alt="Image 1" style="flex: 1; max-width: 48%; height: auto;">
<div style="width: 5px;"></div>