- Add support for Images and their visualization (#366)
- Add RandLANet MIT licensed implementation (#454)
- Refactor config parsing (#460)
- Update pl3d, s3dis, scannet and semantic3d datasets to BaseDataSplit (#451)
- Fix missing axis_align_matrix in Scannet preprocesing (#456)
- Fix OpenVINOModel in Torch pipeline (#447)
- Intel OpenVINO backend (#406)
- Downgrade torch on Mac to 1.8.1 (#436) (#439)
- Add bounding boxes to Visualizer DataModel (#431)
- Added CHANGELOG
- Added RandLA-Net's License (PR #423)
- Fixed wrong label order in Visualizer (PR #422)
- Fixed confusion_matrix bug for predictions with fewer classes than gt (PR #421)
- Fixed cyclic dependency in PVCNN (PR #420)
- Update PyTorch 1.8.1 -> 1.8.2 and TensorFlow 2.5.1 -> 2.5.2 (PR #416)
- Added Tensorboard Plugin support (PR #405)
- Use new numpy random number API (PR #395)
- Added Point-Voxel Convolution Model (PR #394)
- Added Point-Transformers Model (PR #327)
- Python 3.9 support (PR #304)
- Added TensorFlow pipeline for PointRCNN (PR #246)
- Added PyTorch pipeline for PointRCNN (PR #237)
- Added prefetching and memory pinning (PR #236)
- Added training pipelines for SparseConvUnet (torch and tf) (PR #233)
- Added SparseConvUnet model for TensorFlow (PR #228)
- Support for CUDA 11.0 (PR #224)
- Added SparseConvUnet model for PyTorch (PR #223)
- Added inference pipeline for PointRCNN (PR #218)
- Added SunRGBD dataset support (PR #215)
- Added ScanNet dataset support (PR #212)
- Added bounding box support in S3DIS dataset (PR #210)
- Added Data Augmentation pipeline (PR #178)
- Added metrics for PointPillars (PR #172)
- Added PointPillars training pipeline for TensorFlow (PR #171)
- Added PointPillars training pipeline for PyTorch (PR #170)
- Added PointPillars model for TensorFlow (PR #159)
- Added ShapeNet dataset support (PR #157)
- Added Argoverse3D dataset support (PR #155)
- Added PointPillars inference pipeline (PR #153)
- Added dataset download scripts (PR #145)
- Added Lyft dataset support (PR #138)
- Added NuScenes dataset support (PR #137)
- Added Waymo dataset support (PR #136)
- Added KITTI dataset support (PR #128)
- Added training and inference pipeline for Semantic Segmentation (TensorFlow) (PR #38)
- Added visualizer (PR #33)
- Added KPConv model (PR #22)
- Added Tensorflow Dataloader (PR #17)
- Added support for Custom dataset (PR #11)
- Added Toronto3D dataset support (PR #10)
- Added ParisLille3D dataset support (PR #9)
- Added Semantic3D dataset support (PR #8)
- Added dataloader class (PR #6)
- Added support for S3DIS dataset (PR #5)
- Added logging mechanism (PR #3)