First of all, thanks for the great work.
Recently i have implemented an image-level adaptation from CARLA(a simulator) to real urban scenarios using cycle_gan_model.py. But the results are suboptimal since lots of detail information are losing durting the translation.
The dataset is quite unbalanced with 9000 synthetic images and 21100 real images. The resolution differs also severely where 792 x 272 for synthetic and 4096 x 1024 for real ones. Do you have any ideas how can i get an improvement?
First of all, thanks for the great work. Recently i have implemented an image-level adaptation from CARLA(a simulator) to real urban scenarios using cycle_gan_model.py. But the results are suboptimal since lots of detail information are losing durting the translation.
The dataset is quite unbalanced with 9000 synthetic images and 21100 real images. The resolution differs also severely where 792 x 272 for synthetic and 4096 x 1024 for real ones. Do you have any ideas how can i get an improvement?
Thanks a lot.