629 Open source projects that are alternatives of or similar to LaneandYolovehicle-DetectionLinux

Lane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking and YOLO for obstacles. Determines lane change, relative velocity and time to collision

Lane identification system for camera based systems.

Virtual Lane Boundary Generation for Human-Compatible Autonomous Driving

Unofficial implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/

🌲 Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.

Udacity Self-Driving Car Engineer Nanodegree projects.

Self-hosted NVR with object detection

Advanced lane finding

Lane detection for the Nvidia Jetson TX2 using OpenCV4Tegra

Implementation of A Random Finite Set Approach for Dynamic Occupancy Grid Maps with Real-Time Application

Autonomous Driving Simulator for the Portuguese Robotics Open

Lane detection MATLAB code for Kalman Filter book chapter: Lane Detection

geometry processing and shape analysis framework

CUDA bindings for Ruby

Base container for developing C++ and Fortran HPC applications

Conversion of yolo from DarkNet to Caffe

GPU Fluid Simulation with Volumetric Rendering

JetScan : GPU accelerated portable RGB-D reconstruction system

使用SpingBoot、OpenCV、yolo开发舌诊小程序

Collective Knowledge extension with unified and customizable benchmarks (with extensible JSON meta information) to be easily integrated with customizable and portable Collective Knowledge workflows. You can easily compile and run these benchmarks using different compilers, environments, hardware and OS (Linux, MacOS, Windows, Android). More info:

A stream processing framework for high-throughput applications.

Clustering spatial points with algorithm of Fast Search, high performace computing implements of CUDA or parallel in CPU, and runnable implements on python standalone or arcgis.

Simple 2d finite volume solver for Euler equations using c++ kokkos library

GitHub Action to install CUDA

FLAME GPU 2 is a GPU accelerated agent based modelling framework for C++ and Python

Repository for the paper "Extending Maps with Semantic and Contextual Object Information for Robot Navigation: a Learning-Based Framework using Visual and Depth Cues"

How to write cuda kernels or c functions in pytorch, especially for former caffe users.

This is an implementation of various algorithms and techniques required to build a simple Self Driving Car. A modified versions of the Udacity Self Driving Car Simulator is used as a testing environment.

Lightweight Cuda Renderer with Python Wrapper.

No description or website provided.

Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision

To detect any reasonable change in a live cctv to avoid large storage of data. Once, we notice a change, our goal would be track that object or person causing it. We would be using Computer vision concepts. Our major focus will be on Deep Learning and will try to add as many features in the process.

Let's jump into CUDA development with Rust

Target-dependent sentiment classification in news articles reporting on political events. Includes a high-quality data set of over 11k sentences and a state-of-the-art classification model.

MobileNetV2_YOLOV3 for ncnn framework

This is a Tensorflow Java example application what uses YOLOv2 model and Gradle for build and dependency management.

GPU Raytracer from scratch in C++/CUDA

combine state of art deep neural network based detectors with most efficient trackers to solve motion based multiple objects tracking problems

Fork of CUDA GPU memtest 👓

DBCSR: Distributed Block Compressed Sparse Row matrix library

BriefMatch real-time GPU optical flow

Docker scripts for building ONNX Runtime with TensorRT and OpenVINO in manylinux environment

Experimental parallel compression algorithm

GPU-accelerated data science and visualization in node

GPU-accelerated N-Body particle simulator with visualizer.

Social Distancing and Face Mask Detection using TensorFlow. Install all required Libraries and GPU drivers as well. Refer to README.md or REPORT for know to installation requirement

车牌识别，基于HyperLPR实现，修改模型调用方法，使用caffe+tensorRT实现GPU加速，修改了车牌检测模型

Target detection and multi target tracking platform based on Yolo DeepSort and Flask.

Robotics Operating System Package for Yolo v3 based on darknet with optimized tracking using Kalman Filter and Optical Flow.

software.intel.com/content/www/us/en/develop/articles/repo-evaluating-performance-productivity-oneapi.html

Several simple examples for popular neural network toolkits calling custom CUDA operators.

Implementation of LIBELAS in cuda.

The code of the Object Counting API, implemented with the YOLO algorithm and with the SORT algorithm

All-in-one mixed multi-GPU (nVidia, AMD, Intel) & CPU miner solves proof of work to mine supported EIP918 tokens in a single instance (with API).

Bridging caffe2 with yolo, esp on mobile devices

Code accompanying my blog post on k-means in Python, C++ and CUDA

Multiple Object Tracking System in Keras + (Detection Network - YOLO)

Detects objects in images/streaming video

No description or website provided.

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/