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v1.0.0

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@ch-sa ch-sa released this 25 Feb 22:19
· 17 commits to master since this release

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