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This is really a great job. I found that the point cloud data of Mapillary Metropolis are all in the NED coordinate system and do not have geographical information such as longitude and latitude.
However, I want to fuse my own data with your data. It would be great if I could know which city the data comes from.
regards ~
The text was updated successfully, but these errors were encountered:
@ZGX010 the SDK has a topographic converter in metropolis.utils.geo that you can use to get the lat lon
The following is an example of the basic usage:
from metropolis.utils.geo import TopocentricConverter
from metropolis import Metropolis
metropolis = Metropolis(
<split>, # Name of the split we want to load
<your_path_metropolis>, # Path to the root directory of the dataset
)
converter = TopocentricConverter(
metropolis.geo["reference"]["lat"],
metropolis.geo["reference"]["lon"],
metropolis.geo["reference"]["alt"],
)
# """Convert topocentric x, y, z to lat, lon, alt."""
y_c_lla, x_c_lla, _ = converter.to_lla(
pose_record["translation"][0],
pose_record["translation"][1],
pose_record["translation"][2],
)
With scene token 'trABmlDfsN1z6XCSJgFQxO' and sample token: '1pVhDEWnyS30UKoGObXQBg' you get the vehicles coordinate as: (42.331381982273605, -83.04600496139498)
Hi Mapillary Team,
This is really a great job. I found that the point cloud data of Mapillary Metropolis are all in the NED coordinate system and do not have geographical information such as longitude and latitude.
However, I want to fuse my own data with your data. It would be great if I could know which city the data comes from.
regards ~
The text was updated successfully, but these errors were encountered: