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carla depth maps are not encoded the same way (carla_height.py > get_depth_metric)
prediction output is metric, should be ~ mega depth (1/x and log(x) => needs analysing the distribution to windsorize the data (https://en.wikipedia.org/wiki/Winsorizing)
current state of mask dataset (for instance: there's only masks for GSV images)
CMP facade dataset
The text was updated successfully, but these errors were encountered:
carla depth maps are not encoded the same way (
carla_height.py > get_depth_metric
)prediction output is metric, should be ~ mega depth (1/x and log(x) => needs analysing the distribution to windsorize the data (https://en.wikipedia.org/wiki/Winsorizing)
current state of mask dataset (for instance: there's only masks for GSV images)
CMP facade dataset
The text was updated successfully, but these errors were encountered: