Thanks for sharing the pre-trained model.
I'm very interested in this work but are facing a problem when running the code.
Below is the error that occurs.

I'd really appreciate it if you could help me solve this problem.
Many thanks!

ImportError Traceback (most recent call last)
in ()
9
10
---> 11 from utils import *
12
13 sys.path.append('models/')

/content/drive/My Drive/LenslessLearning-master/utils.py in ()
234 import sys
235 sys.path.append('/home/kristina/PerceptualSimilarity')
--> 236 from models import dist_model as dm
237 from admm_helper_functions_torch import *
238

ImportError: cannot import name 'dist_model'

Thanks for sharing the code as well as the training dataset.
I've read your papers and I'm really interested in your work. I noticed that you also tested your network on objects in the wild captured with DiffuserCam but I could find these data on your website.
I'm wondering if these measurements can also be shared. It would be a great help!

Thank you so much!

Hello, in Chapter 5 of paper "Learned reconstructions for practicalmask-based lensless imaging", it is mentioned that a homography transform is needed to co-align both cameras’ coordinate systems when capturing real dataset. Could you please provide more details on how to calculate this homography transform?

since there is no code for training, I write the training code by myself using DiffuserCam Dataset, but the parameter le_admm.mu2 will get a gradient of nan during the training process, thus causing the failure in training. I’m not sure whether there are something wrong with my training code, so can you public your training code?

I want to do a comparision to the result of le-admm-unet, but I don’t know division of training set and test set in the dataset for the given trained model.