## 0.15
* 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)

## 0.14
* 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)

## 0.13
* 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)

## 0.12
* 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)
