Shypd.aiThe largest open index of AI toolsPointRCNN is an open-source research tool for 3D object proposal generation and detection from point clouds. It was presented at CVPR 2019 and is designed for computer vision applications.
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PointRCNN is an open-source 3D object detector that directly generates accurate 3D box proposals from raw point cloud data in a bottom-up manner. It then refines these proposals using a bin-based 3D box regression loss. This tool was the first two-stage 3D object detector to use only raw point cloud as input, achieving state-of-the-art performance on the KITTI dataset at the time of its submission. PointRCNN supports features like multiple GPUs for training, GPU version rotated NMS, and faster PointNet++ inference and training. It is implemented in Python with PyTorch 1.0 and TensorboardX, making it suitable for researchers and developers in autonomous systems and computer vision.
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