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Hi Martin,
Thanks again for sharing your code. I'm working with a custom dataset and following your guidelines on training SRGAN with EDSR baseline model. Leaving the results aside, things appear to …
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Hi,I trained WDSR_A model on DIV2K_wild_x4 training set,but the final test PSNR is about 19.423.Is the result worse than yours?Here's some of my settings,and could you please help me check whether my …
vhank updated
5 years ago
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Dear author:
When using my own image dataset (image size is 600 *600) to train WDSR with the command '--scale 3 --patch size 144 or -- scale 4 --patch size 192', there exited an error:
Traceback (…
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you make a increase channel unit in wdsr_b 32->32*6->32*0.8->32
I have a problem, does 32*6 is for scale 2 times, how about x3 and x4, should I change 6 to other number.
you paper said
It enables…
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appreciate your excellent work..... I'm training WDSR model on DIV2K_x3 training set ,now the global step is about 2650000: PSNR = 31.0282, global_step = 2650000, loss = 0.01833889. it is increasing …
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您好，请问现在SR 提供的模型
WDSR[2] Baseline | 1,190,100 | 34.78
只能生成2倍的图片吗？3倍4倍的呢？
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Hello, Thanks for your sharing!
I followed the steps to train WDSR-b model with --resblock 8 and --n_feats 64 , and got 34.755 PSNR on DIV2K 801~900 photos.
My inference time is 1.1 seconds in 10…
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Hi, Jiahui,
Thanks for your sharing.
When you compare EDSR and WDSR, are the the values of n_feats the same and whether both values are set to 64？
Thanks.
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I can't reproduce the results of the experiment based on the instructions you provided, using your code and the same data set.
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When I used WDSR_A, after adjusting the parameters, I found that the Set5 PSNR value was 43.975 using the Set5 test set test results. I don't know if there will be an abnormal situation in this result…