Comments (2)
There is no way to do it with this piece of code as it just does segmentation and knows nothing about the semantics. Semantics is an interesting step that can come on top of clustering, but is out of the scope of this method.
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@niosus @PanZhichen are there any methods that could be used to do the same and get the bounding boxes as well?
from depth_clustering.
Related Issues (20)
- visualisation of clusters HOT 2
- Implementation on velodyne lidar HOT 5
- How to cluster your own point cloud data and visualize HOT 1
- Status of this package HOT 1
- assertion on unaligned arrays HOT 1
- Release for ROS Noetic HOT 4
- Can't achieve the same effect with my own data HOT 1
- Query on Cluster Visualization HOT 2
- Feature Request: Support ROS pointclouds from Ouster 128-beam LIDAR HOT 1
- Using two 16 line radar fusion data as input HOT 1
- build error HOT 7
- running in real time HOT 1
- running in real time HOT 3
- subscribing to clusters
- compile err error: ‘boost::filesystem’ has not been declared
- Opencv verison
- kitti dataset test error HOT 3
- Get labeled point cloud object HOT 2
- Interesting issue when using ProjectionParams::FromConfigFile method HOT 1
- 3 MEMS combined pointcloud HOT 1
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from depth_clustering.