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hi,thanks for sharing such a interesting work,
when i train and validate the FastDepth acording to your method,the metric RMSE is always about 600,far from your ~0.60 in your paper,i wonder if there is anything worng in your method of caculating RMSE but i can't find it out
The text was updated successfully, but these errors were encountered:
The RMSE in our evaluation code is reported in millimeters [mm]. The RMSE in our paper is reported in meters [m]. So your observed RMSE of ~600 mm equals ~0.60 m.
Thanks for pointing out that this is a source of confusion; I will clarify the metric units in the README.
hi,can you elaborate on how to train fastepth? I trained the code according to the github given by the author, and the result was not good. Thank you very much!!
hi,thanks for sharing such a interesting work,
when i train and validate the FastDepth acording to your method,the metric RMSE is always about 600,far from your ~0.60 in your paper,i wonder if there is anything worng in your method of caculating RMSE but i can't find it out
The text was updated successfully, but these errors were encountered: