zhangyi-3 / idr Goto Github PK

Thanks for your excellent work!

I would like to train a raw image denoising model. what the data type I need to prepare? .raw? .dng?
And could this repo can train on raw/dng image?
If possible. Can you give me any guide to train raw/dng image~?

Thank you very much.
I will be grateful for any help you can provide!

when you do the denoising evaluation on different dataset，Do you retrain your model from scratch on the dataset you want to evaluate, or do you train a model on just one training set and evaluate it on many datasets

Hi,
Thanks for your excellent work. I got many download fails with the url offered. Could you please release another url which easy for downloading? Thanks a lot.

Hello, I ran synthetic_config.py as requested but no training file was generated

firstly , thanks your excellent work.

I want to reimplement the result of sensenoise500 dataset。
so I have to know the noise parameter, such as possion-gaussion noise model parameter.
in the paper:
in the section 4 of the paper I, have said: "However, we choose the Gaussian distribution to model the read noise, since we observe that itis more robust for mobile sensors. More details and examples of SenseNoise-500 can be found in the supplementary
materials."
but I can not found more information about the recalibrated noise parameter even in the supplementary
materials.

can you provide the noise parameter of sense noise 500 dataset.

very appreciate your reply!

Hello, I notice that the SenseNoise dataset in the drive link is the older version.
Can you please update it to the version as in the baidu link? Thanks a lot.

how soon will the training code come？I want to do some experiment！thanks

There is no ground truth images in SenseNoise500.zip

how soon will the training code come？I want to do some experiment！thanks @

Hello, which code needs to be executed to implement denoising？

Hi, while i was training your code on the windows, I cannot find the python package 'mc'(datasets/imagefolder.py Line 13). Is it means the 'python-memcached 1.59'? Expecting your explanation, and thanks a lot :D

Thanks for your great work.

Your code seems that you didn't save the Refined dataset 0-m instead training the network F_{0-m} just on Noiser-noisy dataset. Without the Refined dataset 0-m, can really diminish the gap between noiser-noisy and noisy-clean domains?

Expected your reply.

Running generates a folder for the selected noise type, but there is no output file in any folder.

Set to non distributed and run train Py, the following error occurred:

RuntimeError: Default process group has not been initialized, please make sure to call init_process_group.

Prepare the datasets. (kodak | BSDS300 | BSD68)

When I change mc (I think it's related to memory cached dataloader) to False in IDR.yaml, train code works fine.
But when I trying to use mc, It raises import error and does not work.

** import mc error
self.mclient = mc.MemcachedClient.GetInstance(server_list_config_file, client_config_file)
NameError: name 'mc' is not defined

Is there any way to use mc? or just keeping mc to False is fine?

Is a linux system required for training?