Beast code in Giters

KAPAO is an efficient single-stage human pose estimation model that detects keypoints and poses as objects and fuses the detections to predict human poses.

Language:PythonGPL-3.074300

pointcloud_to_laserscan

Converts a 3D Point Cloud into a 2D laser scan.

Language:C++BSD-3-Clause38600

openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

Language:C++NOASSERTION3028500

slam_glass

Realtime Glass Detection with Laser Rangefinders for Robot Navigation and Mapping

Language:C++9800

awesome-AI-cheatsheets

AI与数据科学各类工具库速查表与参考代码

Language:Jupyter Notebook48700

AudioClassification-Pytorch

The Pytorch implementation of sound classification supports EcapaTdnn, PANNS, TDNN, Res2Net, ResNetSE and other models, as well as a variety of preprocessing methods.

Language:PythonApache-2.032600

open_karto

Detailed Chinese explanation 详细的中文解释open_karto, 更好理解karto_slam

Language:C++LGPL-3.03000

Livox_automatic_calibration

An automatic calibration algorithm for livox LiDAR

Language:C++NOASSERTION21900

csm

The C(canonical) Scan Matcher

Language:CLGPL-3.023300

Creating-2D-laser-slam-from-scratch

从零开始创建二维激光SLAM

Language:C++Apache-2.036600

Deep_Object_Pose

Deep Object Pose Estimation (DOPE) – ROS inference (CoRL 2018)

Language:PythonNOASSERTION98100

LIO-Livox-modified

A Robust LiDAR-Inertial Odometry for 3D LiDAR

Language:C++BSD-3-Clause6700

web-clipper

For Notion,OneNote,Bear,Yuque,Joplin。Clip anything to anywhere

Language:TypeScriptNOASSERTION587500

A-LOAM

Advanced implementation of LOAM

Language:C++NOASSERTION203500

ORB_SLAM2_detailed_comments

Detailed comments for ORB-SLAM2 with trouble-shooting, key formula derivation, and diagrammatic drawing

Language:C++GPL-3.0154100

ros_basic_tutorials

ROS基础精讲系列视频课程

Language:Jupyter NotebookApache-2.010800

CDS-SLAM-Semantic-mapping-in-dynamic-environment

This project is the result of my undergraduate dissertation. The localization in dynamic environment is to deploy TensorRT optimized YOLOX in the front end of ORB-SLAM3 for object detection, and then eliminate all points belonging to the human bounding box. At the same time, the semantic information is sent to the mapping module to dye the 3D point cloud. The disadvantage of this project is that in the localization module, only the points belonging to people are processed, because people are dynamic most of the time. In the mapping module, we did not segment semantic objects accurately, resulting in wrong coloring of point clouds of other objects.

Language:C++GPL-3.010800

teb_local_planner

An optimal trajectory planner considering distinctive topologies for mobile robots based on Timed-Elastic-Bands (ROS Package)

Language:C++BSD-3-Clause98200

LettieZ

ShaoHua Zhang's starred repositories

onenote

MTCNN

MetaGPT

Multi-source-Behavior-Detection

OneMore

csm

kapao

Opencv-project-training