MultiCorrupt: A benchmark for robust multi-modal 3D object detection, evaluating LiDAR-Camera fusion models in autonomous driving. Includes diverse corruption types (e.g., misalignment, miscalibrat…

Code release for "Benchmarking the Robustness of LiDAR-Camera Fusion for 3D Object Detection"

本Fork代码仓库作为本人记录学习BEVFusion的学习笔记使用，会逐步理解代码并添加大量中文注释。 本仓库代码已参照《bevfusion单显卡训练/测试》做了单GPU训练和测试的修改。 并在本人主机上做过了测试。

edition 2 of the slambook

My blogs and code for machine learning. http:https://cnblogs.com/pinard

针对不同旋转矩形框标签格式的转换(txt和xml)

This repository is based on Ultralytics/yolov5, with adjustments to enable rotate prediction boxes.

yolov5 + csl_label.(Oriented Object Detection)（Rotation Detection）（Rotated BBox）基于yolov5的旋转目标检测

RAPiD: Rotation-Aware People Detection in Overhead Fisheye Images (CVPR 2020 Workshops)

A lib of Matrix operation for C language. (矩阵运算库--C语言)

CamOdoCal: Automatic Intrinsic and Extrinsic Calibration of a Rig with Multiple Generic Cameras and Odometry

OpenCV 扩展模块教程

fisheye image calibration

C library for reading and writing YAML.

Canonical source repository for LibYAML

A full Python implementation for real car surround view system

鱼眼摄像头畸变校正代码。内含两个版本，分别基于opencv2和opencv3，支持图片矫正和USB摄像头实时畸变矫正。

分别使用OpenCV、ONNXRuntime部署yolov5-v6.1目标检测，包含C++和Python两个版本的程序。支持yolov5s，yolov5m，yolov5l，yolov5n，yolov5x，yolov5s6，yolov5m6，yolov5l6，yolov5n6，yolov5x6的十种结构的yolov5-v6.1

Using camera calibration and PnP to translate Pixel Coordinates System 2D coordinate point (u, v) to World Coordinate System 3D coordinate point (X, Y, Z).

YOLOv5 ONNX Runtime C++ inference code.

Monocular Distance Detect based on Yolov5 for Amr

C++ library based on tensorrt integration

You Only Look Once for Panopitic Driving Perception.（MIR2022）

Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)

Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

Unofficial implemention of lanenet model for real time lane detection

The repository containing tools and information about the WoodScape dataset.

Neural Collaborative Filtering

PyTorch EEG emotion analysis using DEAP dataset