Hi,
I’m trying to train a new model to do segmentation and another task (separate between two images superposition).
The segmentation part of the model is actually the deeplabv3-resnet101 model, pre-trained.
In the long run I should train also this part, and to make some skip connections too. But in the first step I took this model as is, and froze it’s layers by: require_grad=False.
Even though, it’s seems that this layers had changed, and the segmentation output of my model is absolutely different comparing to the built-in model, and comparing to my model without loading the trained weights.
I would appreciate your help!