Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

If I want to input my own image for deep learning,but i don't need add to Gassian noise level,what should I do? #94

Open
LIN-CHENG-YUEH opened this issue May 12, 2022 · 1 comment

Comments

@LIN-CHENG-YUEH
Copy link

Sorry to disturb everyone during your busy schedule.
I am a student,,I recently taught myself deep learning and machine vision in my spare time outside of work.

If I want to input my own image for deep learning,but i don't need add to Gassian noise level,what should I do?

If I want to test the operation of the program,I download DnCNN and run "GenerateTrainingPatches" program of "DnCNN_TrainingCodes_v1.1" file and "Demo_Train_model_64_25_Res_Bnorm_Adam" program of "DnCNN_TrainingCodes_v1.1".
I want to ask what to do next?which program do i need to run.

And I run "GenerateData_model_64_25_Res_Bnorm_Adam" program of "DnCNN_TrainingCodes_v1.0" and "Demo_Train_model_64_25_Res_Bnorm_Adam" program of "DnCNN_TrainingCodes_v1.0",but MATLAB as shown in the attached.
DnCNN_TrainingCodes_v1 0-error1
This problem has been bugging me for weeks,I have searched the internet for answers but to no avail.Hope someone can assist me.
I only know MATLAB now,but I can try to understand other programming languages.

Thanks eveyone

@john-yyb
Copy link

john-yyb commented May 8, 2024

I think you just need to change the noise in the dataset to the LQ you want to enter. And you also add noise to it

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants