davidvct

Hi, I have the same issue, the content of the train-pair.list is all `'aug_data'`. May I know how did you solve it?

1. Changed the port and it works. Thanks! 2. I was asking how to perform inference on test datasets with specific saved model. Now I managed to get the prediction...

image height and width seems need to be divisible by 4, else will have error during prediction.

Hi, could you provide instruction on how to use the ConsoleApp9.zip? And does it able to convert Numpy array back to NumSharp array?

I guess it might related to the version skimage. if you are using 0.22.0 (latest as of now), try change the file ./models/models.py at around line 28: from `ssim =...

> > The environment.yml file not updated, and has the exploding gradient issue. > > I changed to python 3.8 and Pytorch 2.0.1, and the training ran smoothly. One other...

> > > > The environment.yml file not updated, and has the exploding gradient issue. > > > > I changed to python 3.8 and Pytorch 2.0.1, and the training...

> > > > > > The environment.yml file not updated, and has the exploding gradient issue. > > > > > > I changed to python 3.8 and Pytorch...

yes, you stored in the image you want to predict in `test_img` folder, and `test_lab` is for groundtruth. The predicted result should be the 'fused' file in `.\results` folder, after...

I am able to download the datasets files from google drive (from the link below): https://github.com/sunsmarterjie/SDL-Skeleton/issues/12