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Published 20 hours ago • verified publisher icon fangchangma

some problem about photometric_loss

Open zitao359 opened this issue 4 years ago • 0 comments

Hi,

Thanks for open-sourcing this great piece of work!

I am trying to implement your code and faced some problem，I see that in the main.py file is calculating loss2 (photometric_loss), you use rgb_curr_ (the image of the current frame), warped_ (the image of the neighboring frame predicted by the current frame image), and proofread through the mask to calculate the photometric_loss . So my question is

  1. Is my understanding of rgb_curr_ and warped_ correct? If not, I hope to get your corrections.

  2. Why use the current frame and predicted neighboring frame images to calculate photometric_loss, instead of using the current frame and predicted current frame to calculate photometric_loss.

  3. In your paper, I have seen guidance on using RGB images for depth prediction, Is it the only way to calculate the photometric_loss using the RGB guide? If not, I hope you can give me your advice. Do you have any suggestions?

I have just come into contact with this knowledge, and there may be something wrong. I hope you forgive me.

Thanks for the help!

zitao359 avatar Aug 20 '20 01:08 zitao359