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at the beginning, 'demo.py' ran successfully with pretrained model.
then, after preparing and converting data, I retrained the model by
`python train.py --dataset ./DIV2K_BIN --outdir ./output …
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From the paper of EDSR,
> We resolve this issue by adopting the residual scaling [24] with factor 0.1. In each residual block, constant scaling layers are placed after the last convolution layers.
…
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I tried run `demo.py` with [this model](https://drive.google.com/file/d/1ZTIz1YVXFTI2z3rvBfVuBSthJLJZivxC/view) but this error occurred :
```
D:\Artificial Intelligence\SuperResolution\Images\wdsr…
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1、P7表格中的ours指标是否使用self-ensemble?
2、我使用https://github.com/ceykmc/pytorch_model_summary
脚本,3x16x16作为输入,得到2x的AWSRN模型,理论Madd 712,361,984,换算到论文中的1280x720(*3600), 是2565G左右,但是论文中是320.5G,相差很远,我们的统计方式是哪里有不同?…
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Hi,thanks for your code.I want test one single image of my own with MDSR(x4),and I did something like this:
1. Add in option.py:
`# Option for WDSR
parser.add_argument('--r_mean'…
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I am curious about the reason for padding in the test phase. What is the general purpose for this?
`pad = Lambda(lambda x: K.in_train_phase(x, tf.pad(x, tf.constant([[0, 0], [2, 2], [2, 2], [0, 0]]…
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Hi Jiahui, thanks for your work and I have some conceptual questions (maybe very basic).
In section 3.1 of the paper, in the vanilla residual network, why is the number of parameter 2 * W1^2 * k^2?…
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Thank you for publishing your paper and code!
I'm trying to download your Set5 etc results. But I can't seem to be able to. Chrome/Google translate cannot handle the Baidu website. So I'm trying to…
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In the paper, it said that linear low-rank convolution factorizes a large convolution kernel to two low-rank convolution kernels.
but i did not see the detailed, and i am confused about it. i would…
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how to run the wdsr test by the command?
python -m datasets.div2k --model-dir MODEL_DIR --input-dir INPUT_DIR --output-dir OUTPUT_DIR
which file should I run?