Rahul selvaraj

Hi, successfully training on selected data as per your suggestion, thank you very much. I have some doubts while training, after every epoch it showing a summary of the train...

Thank you very much for the detailed explanation. I am curious about the final prediction as you can see there is some pixel doesn't have a depth value in ground...

Thank you very much JUGGHM, it was a clear explanation. But I am still wondering about colormap how it assigning different colors for a particular distance in the dense depth...

Thank you JUGGHM, I appreciate your patience and answering all my questions too.

Hi, I am curious to ask this question "how to calculate the percentage of Lidar points ?" like In sparse depth map has only 6% of points and ground truth...

Thanks for the quick reply, need to what is the mechanism behind calculating those percentages like "projected point number/cropped RGB resolution"?

Thank you, so, According to the above calculation, will generate a binary mask for sparse depth map and will consider valid pixel if it is 1 or else invalid pixel...

Thank you very much for the clear explanation.

Hi, sorry to ask you more questions, can I change the Loss function from RMSE or MAE to Ruber Loss, since it is also depth estimation, can we use this...

Hi, actually I am talking about Ruber loss which is the square root of Huber Loss (Ruber), May be you can refer to this link "https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8803059" or you can search...