Open mhusseinsh opened 6 years ago
hello, I meet the same problem, how can I train my own datasets which are including synthetic data and real world data. Thanks a lot
The same, how can I train my own datasets?
The same question
The same, how can I train my own datasets? Thx!!!
Same question, I am struggling with the same
Hello, Firstly, thanks for this amazing work of the cycada, as well as having the code shared, so we can start using it on our implementations.
I cloned the repo, and I am starting to use the network for my own problem with my own dataset. Simple, I want to convert synthetic images to real world data. I have both datasets available, with the labels (semantic segmentation) of the synthetic data (domain A).
My question is, how to start with the CyCada, for a first start, I have to train a semantic network on my synthetic labeled images (domain A), for a semantic segmentation task, and then save this model, and start with the CycleGAN training adapted with the semantic loss (CyCada).
Is there a provided network that can can be trained for a semantic segmentation task ?, or are there provided instructions of how to start cycada with my own dataset ?
Thanks a lot