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About indicator sq_rel #138
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Hi, it's good to know that you have improved the results a lot since last time you asked me.
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I am now closing this issue as there is no feedback. |
Thanks for the author's reply, I apologize for not seeing the message in time, I'll try the smoothing factor right away to see if it makes a difference. I would also like to ask a question, does the author know anything about the relationship between relative depth and metric depth, I'm a bit confused now, how is the relative depth converted to metric depth, do they just differ by an unknown focal length? |
@LLLYLong Just like other monocular self-supervised method, Lite-Mono can only predict relative depth. But in the evaluation we use median filter to scale the depth values. |
@noahzn Scaling depth using median filtering also makes the depth value meaningful. |
But in this way you cannot get very accurate depth. It also depends on the dataset you use. |
Hello author, I am lucky to see such an excellent article.
I would like to ask a question, what is the reason that when retraining, all other metrics are performing well and sq_rel has been difficult to lower. This problem has puzzled me for a long time and I have not been able to find a good method, I would like to ask the author if he has also encountered this kind of problem and how should I go about solving it. I am looking forward to the author's reply, thank you.
my train
paper
I would also like to say that this problem is also not specific to that network, but is a problem I encountered while making further modifications, and would like to ask the authors for their experience if they have encountered a similar one during their experiments
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