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Absolute depth conversion
Hello,
Can you please elaborate on the conversion to absolute depth for the use case of benchmarking on other datasets? I am unsure what the output represents other than the explanation of a 'inverse relative depth'.
Thank you, Alex
Have a look at the discussions in #36, #37 and #42.
In the context of benchmarking you could do what we did in the paper: estimate a scale and shift for every image that aligns the prediction to the ground truth under some criterion before measuring errors. See my last response in #36.