Stars
Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.
SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
OpenMMLab's next-generation platform for general 3D object detection.
Deep Learning for Camera Calibration and Beyond: A Survey
[NeurIPS 2023] RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Stereo Algorithms (Include:CREStereo,RAFT-Stereo,Hitnet,FastACVNet_plus,Stereo Transformers,RealtimeStereo,DistDepth) with TensorRT,ORT,OpenVINO
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups. ROS Package.
[CVPR2023] CompletionFormer: Depth Completion with Convolutions and Vision Transformers
This repo contains the projects: 'Virtual Normal', 'DiverseDepth', and '3D Scene Shape'. They aim to solve the monocular depth estimation, 3D scene reconstruction from single image problems.
The repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image" and "Metric3Dv2: A Versatile Monocular Geometric Foundation Model..."
A project demonstrating how to use the libs of cuPCL.
This repository is used for automatic calibration between high resolution LiDAR and camera in targetless scenes.
A Collection of LiDAR-Camera-Calibration Papers, Toolboxes and Notes
OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving
OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline
Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)
[TPAMI'23] Unifying Flow, Stereo and Depth Estimation
Conventional SGBM depth ranging + yolov5 object detection with deployment on Jeston nano
[IROS 2023] TemporalStereo: Efficient Spatial-Temporal Stereo Matching Network
ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
BEVFormer inference on TensorRT, including INT8 Quantization and Custom TensorRT Plugins (float/half/half2/int8).
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