🔥PCL（Point Cloud Library）点云库学习记录

pcl learning notes

This code is an extended version of YOLO_ORB_SLAM3, which adds the functionality of creating dense point cloud maps.

This repository is modified from Xiang Gao's "ORB_SLAM2_modified".It is added a dense loopclosing map model.

Hearthstone script（炉石传说脚本）

Optimized YOLOv11 wrapper top of OpenCV's DNN with efficient class filtering NMS

The MAGSAC algorithm for robust model fitting without using an inlier-outlier threshold

RANSAC Template Library

A large number of cuda/tensorrt cases . 大量案例来学习cuda/tensorrt

Yolo Segmentation SLAM

使用OpenCV部署Yolo-FastestV2，包含C++和Python两种版本的程序

⚡ Based on Yolo's low-power, ultra-lightweight universal target detection algorithm, the parameter is only 250k, and the speed of the smart phone mobile terminal can reach ~300fps+

ROS Wrapper for DeepLab: Deep Labelling for Semantic Image Segmentation

This repository contains sensor fusion between a lidar and camera, semantic segmentation on point clouds and ICP registration of multiple point clouds.

Real Time Semantic Segmentation for both LIDAR & Camera using BiseNetv2 & PointPainting Fusion in Pytorch

Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes

这是一个deeplabv3-plus-pytorch的源码，可以用于训练自己的模型。