A multi-level tensor algebra superoptimizer

OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving

Code for a series of work in LiDAR perception, including SST (CVPR 22), FSD (NeurIPS 22), FSD++ (TPAMI 23), FSDv2, and CTRL (ICCV 23, oral).

Master's thesis research on 3D object detection using LiDAR and Camera data for infrastructure and railway domains, emphasizing inference optimization and utilization of temporal information for di…

🚀🚀🚀 A collection of some awesome public YOLO object detection series projects.

Learn OpenCV : C++ and Python Examples

C++ library and programs for reading and writing ASPRS LAS format with LiDAR data

TensorRT deploy and PTQ/QAT tools development for FastBEV, total time only need 6.9ms!!!

Papers, code and datasets about deep learning for 3D Object Detection.

BEVFormer inference on TensorRT, including INT8 Quantization and Custom TensorRT Plugins (float/half/half2/int8).

Code for "Object as Query: Lifting any 2D Object Detector to 3D Detection"

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

Lightning fast C++/CUDA neural network framework

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.

Vectornet with tensorrt deploy, less than 1ms/object for inference.

Tengine is a lite, high performance, modular inference engine for embedded device

Papers and Datasets about Point Cloud.

LENet: Lightweight And Efficient LiDAR Semantic Segmentation Using Multi-Scale Convolution Attention

A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution…

Port of Facebook's LLaMA model in C/C++

TensorRT Plugin of corresponding PyTorch Scatter operators.

We extend Segment Anything to 3D perception by combining it with VoxelNeXt.

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Offical PyTorch implementation of "BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework"

An academic alternative to Tesla's occupancy network for autonomous driving.