DID-MDN

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I am getting a cropped output image even if the original input image size is (512,512,3).

1

I am getting a cropped output derained image, as the program in test.py seems to be providing a cropped version of the input image to the network, even if the...

AnwesaBhattacharya

Why do you set the batch size to 1?

2

你好，有个问题为什么batchsize设置为1啊？

dq0309

There is not demo.dy

1

I want to learn this code following with the readme, but there is not a demo.dy file in this repository. Would you like upload a new demo.dy?

JiahangWu

你好，test1200数据集不能下载

Qcandy

Guidance from `README.md` ```markdown python derain_train_2018.py --dataroot ./facades/DID-MDN-training/Rain_Medium/train2018new --valDataroot ./facades/github --exp ./check --netG ./pre_trained/netG_epoch_9.pth. Make sure you download the training sample and put in the right folder ``` Code Snippet...

biubiubiiu

from `test.py`, it seems that there three sub-networks (`Dense_rain_residual`, `vgg19ca`, `Dense_rain`) are actually used, which are completely different architecture. It was never mentioned in the paper.

biubiubiiu

Seemingly, there is three training stage according to your paper: - Stage 1: training residual extraction network only - Stage 2: training density classification network based on residue output from...

biubiubiiu

Code snippet from `train_rain_class.py`: ```python netG = net1.vgg19ca() residue_net = net2.Dense_rain_residual() # ... optimizerG = optim.Adam(netG.parameters(), ...) # ... optmizerG.step() ``` It seems that `train_rain_class.py` corresponds to the joint optimization...

biubiubiiu

ModuleNotFoundError: No module named 'torch.utils.serialization'

7

how to handle this issue?

sararaza534

models.vgg19_bn(pretrained=True) vgg19_bn在哪里？

weiguangjiayou