liuh127 / ntire-2021-dehazing-two-branch Goto Github PK

Can you provide the data set of Ntire21? It is no longer available for download on the official website, thank you very much

你好，请问论文中提到的DENSE和20年的数据集的权值文件公开吗

I wanna know that have you re-trained other model with corresponding single datasets or use their pre-trained model trained on RESIDE indoor to test on NTIRE2020,21?

in train_dataset.py
for line in open(os.path.join(train_dir, 'train.txt')):
line = line.strip('\n')
if line!='':
self.list_train.append(line)
if i want to re-train this work,do i need this train.txt file?

Thank you for your work! Your work has inspired me a lot.

I have a little question. In table.3 of your paper, you quantitative compare different methods.

But as far as I know, some methods have no official training results in some datasets(e.g. FFA-NET in NTIRE-2019).

I want to know how you get these results through training. Do you use the same training settings as your proposed Two branch network.

Thank you and look forward to your reply.

Why do you use sigma and N when creating the adversarial loss function? What does N stand for?

and you use (1-fake out) directly in your code; why not use the log value?

I want to know when you are conducting the comparative experiment, have you re-trained FFA, TDN, GCA, etc with corresponding data set or just use their pre-trained model trained on RESIDE to test on NTIRE2020,2021, etc

in train_dataset.py
for line in open(os.path.join(train_dir, 'train.txt')):
line = line.strip('\n')
if line!='':
self.list_train.append(line)
if i want to re-train this work on SOTS or I-HAZE,do i need to build this train.txt file?

When I ran test.py according to your instructions, I got message as 'Name Error: name 'hazy_up' is not defined.'.

When I 'hazy_up' was modified to'hazy' and executed, it was executed, but the normal result could not be obtained.
I replace the'hazy_up' variable to'hazy' and ran test.py, but the output image did not original image or dehaze image.

How do I get dehaze image with your learning model and code?

尊敬的作者您好，我有一个问题想请教一下，您的数据集显示您将NH2020和NH2021数据集合并了起来，请问在训练时也是直接一起训练这80张图片的吗？
Dear author, I have a question of the dataset. Your dataset shows that you have combined NH2020 and NH2021 datasets. Do you also directly train these 80 pictures together during training?

那么Dense-haze数据集和O-haze数据集又是如何训练的呢？
If so, how are dense-haze datasets and o-haze datasets trained?

顺便问一句：您每个数据集训练多少轮呢？
By the way，how many epochs did you train ?

Hi, Thank you for this work. I ran into the following problems while running the code you provided that is the MSSIM loss function you provided missing 1-MSSIM? What I see in the code is -MSSIM. How should I understand this? Looking forward to your reply.

Can you provide whole visual results of Comparative experiments on NTIRE 2020/2019 NonHomogeneous Dehazing Challenge testing images

Excuse me,I just don't understand the dataset you provided.I wonder the dataset which contains 80 images is composed of which dataset?And how many of each?
Would you please introduce it in detail？Thanks a lot!

Hello, thank you very much for your efforts. I have tried to learn your paper and am currently trying to use my own dataset to train based on your network, but the training results are very poor. May I ask why you cleared it? Looking forward to your reply and guidance. If it's convenient for you, please add my QQ: 2788449604. I look forward to your help.