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Hyperparameters for training #7

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YoussefFathi opened this issue Nov 1, 2021 · 3 comments
Open

Hyperparameters for training #7

YoussefFathi opened this issue Nov 1, 2021 · 3 comments

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@YoussefFathi
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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?

@vincentfung13
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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

@YoussefFathi
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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?

@hyBlue
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hyBlue commented May 7, 2022

@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?

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3 participants