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octomap

An Efficient Probabilistic 3D Mapping Framework Based on Octrees. Contains the main OctoMap library, the viewer octovis, and dynamicEDT3D.

okvis

OKVIS: Open Keyframe-based Visual-Inertial SLAM.

openalpr

Automatic License Plate Recognition library

opencv_learn

openpose

OpenPose: A Real-Time Multi-Person Keypoint Detection And Multi-Threading C++ Library

openpose-1

OpenPose的简单实现版本，简洁不简单，so easy. 就一个cpp

orb-ygz-slam

orb_slam2

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

orb_slam3

ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM

p3depth

pan.pytorch

A unofficial pytorch implementation of PAN(PSENet2): Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network

pcd_viewer

Display .pcd point cloud files in web browser

peopletracker

People detection and tracking based on DPM & KCF.

pillar-od

pillarnet

3D object detection based on pointpillar and fcos

pix2pixhd

Synthesizing and manipulating 2048x1024 images with conditional GANs

pixor

Bird's Eye View Object Detection Algorithm for self-driving Cars

point-gnn

Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud, CVPR 2020.

pointcloudmatching

Point cloud Matching Using ICP

pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

points2grid

Points2Grid is a robust and scalable tool for gridding LIDAR point cloud data to generate Digital Elevation Models (DEM). Points2Grid uses a local gridding method to compute grid cell elevation using a neighborhood defined around each cell based on a search radius provided by the user.

polarmask

Code for 'PolarMask: Single Shot Instance Segmentation with Polar Representation'

polarseg

Implementation for PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation (CVPR 2020)

posecnn

A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes

pseudo_lidar

(CVPR 2019) Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

pytorch-everybodydancenow

Implementation of Everybody Dance Now by pytorch

pytorch-tutorial

Build your neural network easy and fast

pytorch-yolov4

PyTorch ,ONNX and TensorRT implementation of YOLOv4

qianxun

realsense_samples_ros

Sample code illustrating how to develop ROS applications using the Intel® RealSense™ ZR300 camera for Object Library (OR), Person Library (PT), and Simultaneous Localization And Mapping (SLAM).