xiaoxifuhongse,github

awesome-yolo-object-detection

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

cartographer-occupygridmap

Occupancy grid mapping used in the cartographer project

cv-detect-robot

🔥🔥🔥🔥🔥🔥Docker NVIDIA Docker2 YOLOV5 YOLOX YOLO Deepsort TensorRT ROS Deepstream Jetson Nano TX2 NX for High-performance deployment(高性能部署)

deepstream-occupancy-analytics

This is a sample application for counting people entering/leaving in a building using NVIDIA Deepstream SDK, Transfer Learning Toolkit (TLT), and pre-trained models. This application can be used to build real-time occupancy analytics applications for smart buildings, hospitals, retail, etc. The application is based on deepstream-test5 sample application.

deepstream-yolo

NVIDIA DeepStream SDK 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 implementation for YOLO models

defisheye

Fast Corrects for fisheye distortion in an image.

densedepthmap

Create Dense Depth Map Image for Known Poisitioned Camera from Lidar Point Cloud

direct_visual_lidar_calibration

A toolbox for target-less LiDAR-camera calibration [ROS1/ROS2]

ffmpeg-gpu-demo

A FFmpeg based demo showing GPU's all-round capability in video processing

forklift-path-tracking

forklift path tracking

gbdt_simple_tutorial

python实现GBDT的回归、二分类以及多分类，将算法流程详情进行展示解读并可视化，庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flow are displayed, interpreted and visualized to help readers better understand Gradient Boosting Decision

gcnv2_slam

Real-time SLAM system with deep features

generic_dbscan

generic DBSCAN on CPU & GPU

gpscalibration

GPS calibration using points cloud slam and other sensors

imu_gps_localization

Using error-state Kalman filter to fuse the IMU and GPS data for localization.

ip_basic

Image Processing for Basic Depth Completion

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

lidar-segementation

An implementation on "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance" from IROS 2019

lidar-slam-detection

LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic

lidar_ai_solution

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, YUV2RGB, cuOSD,).