Keyfi (Keyfi0129)

Keyfi0129

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Keyfi's starred repositories

gloot

A universal inventory system for the Godot game engine.

Language:GDScriptLicense:MITStargazers:512Issues:0Issues:0

Lootie

Portable loot table for Godot class that facilitates generating random loot based on specified items and their associated probabilities.

Language:GDScriptLicense:MITStargazers:8Issues:0Issues:0

YOLOSHOW

YOLO SHOW - YOLOv10 / YOLOv9 / YOLOv8 / YOLOv7 / YOLOv5 / RTDETR GUI based on Pyside6

Language:PythonLicense:AGPL-3.0Stargazers:244Issues:0Issues:0

cs-self-learning

计算机自学指南

Language:HTMLLicense:MITStargazers:54077Issues:0Issues:0

SFA3D

Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)

Language:PythonLicense:MITStargazers:993Issues:0Issues:0

continuous-fusion

(ROS) Sensor fusion algorithm for camera+lidar.

Language:C++License:MITStargazers:38Issues:0Issues:0

Camera-Lidar-Fusion-ROS

fully applied in ROS. simply fuse the category and location information

Language:CStargazers:172Issues:0Issues:0

bilingual_book_maker

Make bilingual epub books Using AI translate

Language:PythonLicense:MITStargazers:7155Issues:0Issues:0

cpp-templates-2nd

Translation of C++ Templates 2nd | Powered by Obsidian

Language:CSSStargazers:332Issues:0Issues:0

sensor_fusion

code of sensor fusion

Language:C++Stargazers:30Issues:0Issues:0

Complex-YOLOv4-Pytorch

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

Language:PythonLicense:GPL-3.0Stargazers:1213Issues:0Issues:0

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,).

Language:PythonLicense:NOASSERTIONStargazers:1217Issues:0Issues:0

the-book-of-modern-cpp

The Book of Modern C++

License:Apache-2.0Stargazers:719Issues:0Issues:0

lift-splat-shoot

Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D (ECCV 2020)

Language:PythonLicense:NOASSERTIONStargazers:966Issues:0Issues:0

BEVFusion

Offical PyTorch implementation of "BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework"

Language:PythonLicense:Apache-2.0Stargazers:700Issues:0Issues:0

CppCoreGuidelines

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

Language:CSSLicense:NOASSERTIONStargazers:42216Issues:0Issues:0

cpp-primer-note

some note during the second pass of the book C++ primer

Stargazers:28Issues:0Issues:0

effective-cpp-note

Note Of Effective C++ 、More Effective C++ And Effective Modern C++

Stargazers:213Issues:0Issues:0

CenterFusion

NN-based radar-camera post sensor fusion implemented by TensorRT

Language:PythonLicense:MITStargazers:54Issues:0Issues:0

CRN

[ICCV'23] Official implementation of CRN: Camera Radar Net for Accurate, Robust, Efficient 3D Perception

Language:PythonLicense:MITStargazers:100Issues:0Issues:0

EffectiveModernCppChinese

《Effective Modern C++》- 完成翻译

Stargazers:7548Issues:0Issues:0

PointGroup

PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation

Language:PythonLicense:Apache-2.0Stargazers:377Issues:0Issues:0

modern-cpp-tutorial

📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/

Language:C++License:MITStargazers:23584Issues:0Issues:0

learnopencv

Learn OpenCV : C++ and Python Examples

Language:Jupyter NotebookStargazers:20849Issues:0Issues:0

awesome-cpp

A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

License:MITStargazers:57623Issues:0Issues:0

opencv

Open Source Computer Vision Library

Language:C++License:Apache-2.0Stargazers:77278Issues:0Issues:0

modern-cpp-features

A cheatsheet of modern C++ language and library features.

License:MITStargazers:19299Issues:0Issues:0

MV3D

Multi-View 3D Object Detection Network for Autonomous Driving

Language:Jupyter NotebookStargazers:477Issues:0Issues:0

SLBAF-Net

Use visible and infrared images to train the network. This method is better to face the dark environment.

Language:PythonStargazers:80Issues:0Issues:0

multi-sensor_obstacle_fusion

Personal work on sensor fusion for self-driving cars. Including Lidar, Camera, Radar, and Fusion techniques.

Language:C++Stargazers:29Issues:0Issues:0