Gong Lixue
Gong Lixue
I have trained it from scratch successfully : ) Firstly set `detach_network=True` in `model_simple.py`, which means freezing the feature extractor. And then set `detach_network=False` to train the whole network end-to-end.
> @gonglixue - when you visualised your training results, did you ever get a blocky output for your visualization? We're running into similar problems, and I'm wondering if this is...
> can you please provide me more details? > did you set also `can_detach=True` in `forward_base` method? > first you detach the encoder and train the transformation network for few...