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| ## 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) | ||
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| ## 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) | ||
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| ## 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) |