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dwofk / fast-depth

ICRA 2019 "FastDepth: Fast Monocular Depth Estimation on Embedded Systems"
MIT License
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the metrics RMSE #28

Open hfutfl opened 3 years ago

hfutfl commented 3 years ago

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

dwofk commented 3 years ago

Hi @hfutfl

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.

puyiwen commented 2 years ago

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!!