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TuSimple avatar

TuSimple/SST

0
View on GitHub↗
883 stars·106 forks·Python·Apache-2.0·16 views

SST

This repo contains official implementations of our series of work in LiDAR-based 3D object detection:

Features

  • 3D Detection and Segmentation - Single-stride object detector utilizing sparse transformers.
  • 3D Object Detection - Single-stride 3D detection using sparse transformers.

Star history

Star history chart for tusimple/sstStar history chart for tusimple/sst

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with SST

These projects share indexed features with SST. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • open-mmlab/openpcdetopen-mmlab avatar

    open-mmlab/OpenPCDet

    5,621View on GitHub↗

    OpenPCDet is a PyTorch deep learning library and toolbox for LiDAR 3D object detection. It functions as a point cloud processing framework designed to develop, train, and evaluate machine learning models that identify and locate objects in three dimensional space. The project includes a GPU-accelerated geometry engine for high-performance implementation of 3D intersection over union and rotated non-maximum suppression. It also provides a distributed model training tool to scale the training and testing of detection models across multiple GPUs and computing nodes. The framework covers point c

    Python
    View on GitHub↗5,621
  • zeliu98/group-free-3dzeliu98 avatar

    zeliu98/Group-Free-3D

    255View on GitHub↗

    Group-Free 3D Object Detection via Transformers

    Python
    View on GitHub↗255
  • blvlab/pimaeBLVLab avatar

    BLVLab/PiMAE

    139View on GitHub↗

    Accepted to CVPR2023. 🔥

    Python
    View on GitHub↗139
  • yanx27/pointnet_pointnet2_pytorchyanx27 avatar

    yanx27/Pointnet_Pointnet2_pytorch

    4,894View on GitHub↗

    This project is a PyTorch-based framework of deep learning models designed for the classification and semantic segmentation of 3D point cloud data. It provides implementations of the PointNet architecture to perform global category labeling of entire objects and detailed partitioning of large-scale 3D environments. The system handles semantic segmentation across multiple scales, ranging from identifying individual components within a single object to labeling distinct category types within large-scale scenes. The framework includes structural components for processing unordered point sets, s

    Pythonclassificationmodelnetpoint-cloud
    View on GitHub↗4,894
Compare all 30 related projects→

Frequently asked questions

What does tusimple/sst do?

This repo contains official implementations of our series of work in LiDAR-based 3D object detection:

What are the main features of tusimple/sst?

The main features of tusimple/sst are: 3D Detection and Segmentation, 3D Object Detection.

Which projects share features with tusimple/sst?

Projects with overlapping indexed features include: open-mmlab/openpcdet — OpenPCDet is a PyTorch deep learning library and toolbox for LiDAR 3D object detection. It functions as a point cloud… zeliu98/group-free-3d — Group-Free 3D Object Detection via Transformers. blvlab/pimae — Accepted to CVPR2023. 🔥. yanx27/pointnet_pointnet2_pytorch — This project is a PyTorch-based framework of deep learning models designed for the classification and semantic… open-mmlab/mmdetection3d — MMDetection3D is an open-source toolbox for 3D perception, providing a unified framework for detecting and segmenting… intel-isl/open3d — Open3D is a 3D data processing library, visualization engine, and machine learning library. It provides a framework…