Is there a way that automatically generates a confusion matrix using the same test set and its annotations ?

This is the link to RetinaNet model

I tried adapting a confusion matrix from an image classification model which obviously didn’t work, I’m currently trying to use the results from running inference.py and dataset.py since the first prodiuces the prediction results and the second shows a few examples of the dataset used for training.