I have fine-tuned the pre-trained densenet121 pytorch model with dropout rate of 0.2.
Now, is there any way I can use dropout while testing an individual image?
The purpose is to pass a single image multiple times through the learned network (with dropout) and calculate mean/variance on the outputs and do further analysis.