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Releases: PRBonn/PIN_SLAM

v1.0.7

19 Dec 10:36
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What's Changed

  • added docker: ubuntu 20.04, cuda 11.7.1,python3.8, pytorch 2.0.0 by @schneider-daniel in #36
  • employed typer for better CLI like the other IPB projects
  • added the missing ncd recon exp config #37
  • added more documents and comments

New Contributors

Full Changelog: v1.0.6...v1.0.7

v1.0.6

01 Nov 19:51
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What's changed

  • Fix ply data loading with pointwise timestamp
  • Fix the warning in vis_pin_map.py when color is not used
  • Fix the disabled visualization in vis_pin_map.py
  • Fix the short-hand SDF calculation function
  • Fix the bug of missing abs in stop status checking tranmat_close_to_identity()
  • Add regular GPU cache cleaning
  • Refactor the decoders
  • Support KITTI_MOT dataset with a new data loader and add some documents
  • Update video link
  • Update bib (volume, page information)
  • Fix potential bugs of a temporal local map with 0 neural point
  • Fix terminal bug when using pure mapping mode
  • Fix a bug in point timestamp filtering with color mask

Full Changelog: v1.0.5...v1.0.6

v1.0.5

27 Aug 10:52
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What's changed

  • Fix bugs in mesh reconstruction after the SLAM process #27
  • Add config file for LiDAR-MOS using PIN-SLAM
  • Update the readme on using colorized LiDAR points

Full Changelog: v1.0.4...v1.0.5

v1.0.4

16 Aug 12:15
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What's Changed

  • Unify the dataloader interface, and support image input for using colorized LiDAR point cloud for mapping (example: run_kitti_color.yaml)
  • Add kitti360 data loader, and drop paris_loco dataloader (can be used with generic)
  • Add the initial implementation of the pure-localization mode, which currently only supports pose tracking and does not support global localization. Use it by setting load_model: True and setting model_path as the path to the prebuilt neural point map xxx/model/pin_map.pth in the config file. #16
  • Fix paper bibtex and some other docs

Full Changelog: v1.0.3...v1.0.4

v1.0.3

16 Jul 09:43
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What's Changed

  • use iSAM2 as the default incremental factor graph optimizer
  • add basic visualization logging based on rerun
  • update requirement by @YibinWu in #23

New Contributors

v1.0.2

28 Jun 09:32
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  • Add dependency requirement file [#21]
  • Add dataloaders (from images) for replica, tum rgbd and neural rgbd datasets [#15]
  • Update paper information

v1.0.1

05 Jun 14:49
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  • Copy kiss-icp data loaders locally to drop the dependency. Add loader for replica dataset. Now to use a specific data loader, use flag -d instead of -k
  • Fix potential timestamp bugs

v1.0.0

22 May 19:30
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First stable version

  • Support kiss-icp data loaders to load data directly from rosbags and support more datasets
  • Refactor the argparser command-line options