NAD
NAD copied to clipboard
What config did you use to have the model return the activations?
Hello,
I'm trying to understand why your model is returning 3 activations along with the outputs when running inferences.
line 27 of main.py: activation1_s, activation2_s, activation3_s, output_s = snet(img)
Was there some thought process in returning the last 3 activations?
Hi, please see the code here to get details about returning activations.