Hyperparameters for training
YoussefFathi opened this issue · 3 comments
Hello,
would like to congratulate you on such great work!
Are the hyperparameters for the kitti_raw dataset included in params_kitti_raw.yaml the same ones used to reach the results in the paper or should they be changed?
Hi Youssef,
Yes you should be able to reproduce the performance by using params_kitti_raw.yaml, you can change it accordingly if you want to reproduce the results for different settings in the paper (for example the training resolution).
Zijian
It was mentioned in the MPI paper that for KITTI Raw they cropped all images by 5% from all sides before testing and also calculated the metrics only on non-occluded regions of the scene. Did you do the last part in your method or only cropped by 5% from all sides?
@YoussefFathi
Hi, did you figure it out how to evaluate? I'm now testing the author's pretrained model but I can never get the results as in the paper. I evaluated PSNR and it seems around 15. on in the test set. Could you please share the tips if you get the good results?