pyradiomics | source python package for the extraction of Radiomics | Machine Learning library

I am trying to visualize features that were extracted from a dataset of CT-scans using radiomics. I extracted features using the Pyradiomics library, and now I have a few .csv files.

I found this R Library which can read a dataset and generate images for it. Reading the dataset works according to plan using the input = import_pyradiomics(dir = "/path/to/datadir") command, but when I try to visualize it using for instance plot_correlation_matrix(rdr = input, view_as = "heatmap"), one of the visualization functions, I get the following error:

Error: $ operator not defined for this S4 class

I read about S3 and S4 classes, and I think that [line 160] in the library is where this error occurs first as it attempts to call this '$' operator. I am currently using R version 4.0.2. It seems to me like this issue is caused by this R library relying on an older version of R, but it is relatively up to date. What can I do to resolve this issue? Do I have to go in and manually change the code in the library? Or is there an easier fix, such as casting the S4 class to an S3 class? I feel like I'm missing an easy solution because I'm not familiar with R.

I found a similar question here, but it doesn't answer my specific question. Answers on other questions regarding this topic also do not work for me unfortunately.

I'm trying to install a package from Anaconda Cloud called pyradiomics. So I wrote this Dockerfile:

I'm trying to implement a GUI to assist some coworkers with image processing, but I am running into a problem with the Tkinter (ttk) progress bar, which keeps lagging while I execute work in another thread.

Basically, I want to have the progress bar run in indeterminate mode and bounce back and forth, as a kind of visual confirmation that things are still progressing (like the "working" circle in windows).

I set it up as follows: