v1.0.0
Mayor Changes
- labelCloud now supports bounding box-based semantic segmentation.
- Labels are now categorical instead of free text.
- This allows the usage of colors.
- A welcome dialog asks to list all classes.
- KITTI labels in camera frame can now be loaded when the calib files are provided.
- Points inside bounding boxes can be cropped and saved as separate point cloud files.
What's Changed
- Deprecate Python 3.6 by @ch-sa in #121
- Add bounding box-based semantic segmentation by @ch-sa in #123
- Add label propagation by @ch-sa in #122
- Add label_list to event filter by @ch-sa in #134
- Validate the data in StartupDialog and handle mismatched segmentation labels by @chingyulin in #125
- Fixed import of KITTI labels via calibration files by @Divelix in #133
- Crop the points inside a box and save as as a separate point cloud by @chingyulin in #129
- Fix issue with GUI not accepting floats. by @Halfwake in #135
- Set default label and label format in startup dialog by @ch-sa in #136
New Contributors
Full Changelog: v0.7.9...v1.0.0