pointcloudset
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virtual-vehicle
Efficient analysis of large datasets of point clouds recorded over time
Sadly it is not possible to use the latest .mcap file format. Here the whole Traceback: ` Traceback (most recent call last): File "/pcd_intensities.py", line 64, in pcd = pointcloudset.Dataset.from_file(rosfile_path,topic=topic)...
The ROS2 Support works great! Two things that would be good to change now: - It would be just good to update the docker image on docker hub to use...
plotting with data shaders. Might be useful to get an overview. Here are some hints how it works together with poorly: https://plotly.com/python/datashader/ **Describe the solution you'd like** A plot method...
**Is your feature request related to a problem? Please describe.** Currently saving of Datasets which contain large (>a few GB, per frame) is not possible. **Describe the solution you'd like**...
Ouster and Velodyne strongest, last. as seperate pointcloud.
difference of two pointclouds. Calculate the volume differences
It is recommended that users with existing code upgrade to pandas 1.5.3 before they upgrade to pandas 2, and make sure their code does not generate FutureWarning or DeprecationWarning messages....
in the tag v0.9.0 is v0.8.1 installed
When using a Ouster lidar with ROS, in some use cases it makes sense to record raw lidar packets instead of the standard Pointcloud2 messages as this saves computational resources...
Since the package already has an environment.yaml file, adding a conda recipe and uploading it to conda forge would be a very nice and rather easy addition. - [x] Add...
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Efficient analysis of large datasets of point clouds recorded over time