An opinionated list of awesome Python frameworks, libraries, software and resources.

Python sample codes and textbook for robotics algorithms.

A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8…

Waymo Open Dataset

东北方言编程语言

ICCV2019 - Learning to Paint With Model-based Deep Reinforcement Learning

PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.

(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"

Pytorch implementation of FlowNet by Dosovitskiy et al.

Official implementation of Joint Monocular 3D Vehicle Detection and Tracking (ICCV 2019)

This is an unofficial inplementation of VoxelNet in TensorFlow.

Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation

Python optical flow visualization following Baker et al. (ICCV 2007) as used by the MPI-Sintel challenge

无人车路径规划算法demo

LATTE: Accelerating LiDAR Point Cloud Annotation via Sensor Fusion, One-Click Annotation, and Tracking

[NeurIPS Workshop 2019] Official code of the paper "Probabilistic 3D Multi-Object Tracking for Autonomous Driving." First Place of the First NuScenes Tracking Challenge in the AI Driving Olympics W…

Implementation of the paper "Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning"

FlowNet3D: Learning Scene Flow in 3D Point Clouds (CVPR 2019)

DeepMVS: Learning Multi-View Stereopsis

PCL pcd fileformat i/o in Python

[ICCV2019] Robust Multi-Modality Multi-Object Tracking

OpenCV Python Computer Vision Examples used for Teaching

The repository for paper https://arxiv.org/abs/1902.10840

Python scripts for performing optical flow estimation using the RAFT model in ONNX

The PyTorch Implementation of PointRCNN for 3D Object Detection from Raw Point Cloud, CVPR 2019.