Topic: vehicle-detection Goto Github
Some thing interesting about vehicle-detection
Some thing interesting about vehicle-detection
vehicle-detection,Vehicle detection, tracking and counting by blob detection with OpenCV on c++.
User: ahmetozlu
Home Page: https://youtu.be/3uMKK28bMuY
vehicle-detection,Vehicle detection, tracking and counting by SVM is trained with HOG features using OpenCV on c++.
User: ahmetozlu
Home Page: https://www.youtube.com/watch?v=itmV7druy9Y&feature=youtu.be
vehicle-detection,:oncoming_automobile: "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.
User: ahmetozlu
Home Page: https://www.youtube.com/watch?v=PrqnhHf6fhM
vehicle-detection,This repository contains works on a computer vision software pipeline built on top of Python to identify Lanes and vehicles in a video. This project is not part of Udacity SDCND but is based on other free courses and challanges provided by Udacity. It uses Computer vision and Deep Learrning Techniques. Few pipelines have been tried on SeDriCa, IIT Bombay.
User: akhilesh-k
vehicle-detection,Vehicle Detection, Tracking and Counting
User: andrewssobral
vehicle-detection,Vehicle Detection by Haar Cascades with OpenCV
User: andrewssobral
vehicle-detection,Vehicle Detection with Convolutional Neural Network
User: antevis
Home Page: https://medium.com/@ivankazakov/vehicle-detection-and-tracking-44b851d70508
vehicle-detection,A project to demonstrate how an adaptive LED high beam technology would work.
User: canozcivelek
vehicle-detection,A computer vision and artificial intelligence project to detect and counting vehicles. This project is using YOLOV5 and Deep Sort Algorithm to perform object recognition and tracking realtime.
User: charnkanit
vehicle-detection,This is a Matlab lesson design for vehicle detection and recognition. Using cifar-10Net to training a RCNN, and finetune AlexNet to classify. Thanks to Cars Dataset:http://ai.stanford.edu/~jkrause/cars/car_dataset.html
User: chenjoya
vehicle-detection,Driving risk assessment with deep learning using a monocular camera. Related paper: https://arxiv.org/abs/1906.02859
User: ekim-yurtsever
vehicle-detection,We developed a system that leverages on YOLO Machine Learning Model for managing the traffic flow based on the vehicle density.
Organization: fyp-itms
Home Page: https://github.com/FYP-ITMS/
vehicle-detection,This project aims to count every vehicle (motorcycle, bus, car, cycle, truck, train) detected in the input video using YOLOv3 object-detection algorithm.
User: guptavasu1213
vehicle-detection,A Network for detecting and classifying vehicle's front and rear
User: hankerkuo
vehicle-detection,Term 1, Project 5 - Udacity Self Driving Car Nanodegree
User: harveenchadha
vehicle-detection,Perception algorithms for Self-driving car; Lane Line Finding, Vehicle Detection, Traffic Sign Classification algorithm.
User: hayoung-kim
vehicle-detection,Project on Vehicle Detection, Classification, and Counting. Done in python using OpenCV.
User: himaranimathews
vehicle-detection,Official version of 'Weakly Supervised 3D object detection from Lidar Point Cloud'(ECCV2020)
User: hlesmqh
vehicle-detection,This is one of the best vehicle recognition applications. It can determine the car's license plate number, color, model, brand and year.
User: jasur-2902
Home Page: https://play.google.com/store/apps/details?id=uz.shukurov.carrecognition
vehicle-detection,Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).
User: junshengfu
vehicle-detection,A python project that does real-time vehicle detection using a trained car-cascade Model
User: kalebu
Home Page: https://kalebujordan.dev/real-time-vehicle-detection-using-python/
vehicle-detection,Graduation project repository, Real-time vehicle detection using two different approaches. HOG+SVM traditional approach and Deep Learning based approach using state of the art YOLO convolutional neural network.
User: karim-ahm
vehicle-detection,An implementation of Faster R-CNN applied to vehicle detection.
User: kelicious
vehicle-detection,Vehicle Tracking Full Project Using C#,ASP.net,Javascript etc
User: khopaderahul01
vehicle-detection,Vehicle detection implemented with you Only Look Once. It's an object detector that uses features learned by a deep convolutional neural network to detect an object.
User: kirilcvetkov92
vehicle-detection,Implementation of the Automatic Emergency Braking System using deep learning.
User: kuldeepbishnoi
vehicle-detection,Automatic detection and tracking of moving vehicles in a video from a surveillance camera
User: landzs
vehicle-detection,Vehicle detection and tracking and speed estimation using opencv
User: lcosicnus
vehicle-detection,ODAM - Object detection and Monitoring
User: lddl
vehicle-detection,Vehicle detection and classification on a video from an Indian Highway.
User: many-facedgod
vehicle-detection,Udacity Self-Driving Car Engineer Nanodegree projects.
User: ndrplz
vehicle-detection,vedai dataset for darknet
User: nikitalpopov
vehicle-detection,Sample use cases in OpenCV 🎨
User: ozcanovunc
vehicle-detection,Vehicle MTMC Tracking
User: regob
vehicle-detection,Automate traffic counting with a Raspberry Pi and Computer Vision
User: rmcqueen
vehicle-detection,Detection of license plate and recognising the registration number
User: saswat0
vehicle-detection,The vehicle orientation dataset is a large-scale dataset containing more than one million annotations for vehicle detection with simultaneous orientation classification using a standard object detection network.
Organization: sekilab
vehicle-detection,The main objective of this project is to identify overspeed vehicles, using Deep Learning and Machine Learning Algorithms. After acquisition of series of images from the video, trucks are detected using Haar Cascade Classifier. The model for the classifier is trained using lots of positive and negative images to make an XML file. This is followed by tracking down the vehicles and estimating their speeds with the help of their respective locations, ppm (pixels per meter) and fps (frames per second). Now, the cropped images of the identified trucks are sent for License Plate detection. The CCA (Connected Component Analysis) assists in Number Plate detection and Characters Segmentation. The SVC model is trained using characters images (20X20) and to increase the accuracy, 4 cross fold validation (Machine Learning) is also done. This model aids in recognizing the segmented characters. After recognition, the calculated speed of the trucks is fed into an excel sheet along with their license plate numbers. These trucks are also assigned some IDs to generate a systematized database.
User: shreyapamecha
vehicle-detection,Detect vehicles in a video
User: subodh-malgonde
vehicle-detection,Modified TensorFlow Object Detection Model for vehicle detection and tracking
User: toemazz
Home Page: https://github.com/tensorflow/models/tree/master/research/object_detection
vehicle-detection,OpenCV implementation of lane and vehicle tracking
User: tomazas
Home Page: https://code.google.com/p/opencv-lane-vehicle-track/
vehicle-detection,The code of the Object Counting API, implemented with the YOLO algorithm and with the SORT algorithm
User: tugot17
vehicle-detection,Detecting vehicles using HOG features and SVM
User: tusharchugh
vehicle-detection,Car tracking and car counter implemented with YOLOX, ByteTrack and Pytorch.
User: vanhaito
vehicle-detection,real-time Vehicle Detection( tiny YOLO ver) and HOG+SVM method
User: windowsub0406
vehicle-detection,According to YOLOv3 and SORT algorithms, counting multi-type vehicles. Implemented by Pytorch.
User: wsh122333
vehicle-detection,Detect and track vehicles in video
User: xfgryujk
vehicle-detection,Vehicle detection using YOLO in Keras runs at 21FPS
User: xslittlegrass
vehicle-detection,KITTI data processing and 3D CNN for Vehicle Detection
User: yukitsuji
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