Hobby project to track vehicles that are over speeding and violating red light
Python scripts for performing road segemtnation and car detection using the HybridNets multitask model in ONNX.
In this system you can detect cars from video or live webcam
This app detects types of cars and counts cars using YOLOv3
YOLOPv2のPythonでのONNX推論サンプル
Iranian Vehicle Tracking and Recognition + License Plate Recognition Using Yolov5, OSNet
This project utilizes the custom object detection model to monitor parking spaces in a video feed. It identifies vehicles in the video and overlays polygons representing parking spaces on the frames. The program then calculates the number of occupied and free parking spaces based on the detected vehicles and the predefined parking space polygons.
This program detects vehicles that are not moving
A comprehensive computer vision solution for real-time vehicle detection and traffic analysis. Built with YOLOv8 for high-performance object detection in traffic scenarios.
A simple night time vehicle tracking algorithm via headlight
CNN-based real-time car parking lot classification
This project is for learning computer vision using openCV and python.
This project aims to detect vehicles and read license plates from video footage. It leverages YOLOv8 for object detection and the SORT algorithm for tracking vehicles across frames. The detected license plates are then processed using EasyOCR to extract the text, with a focus on Indian license plate formats.
🚙 This project merges YOLOv8l for precise car detection with SORT for streamlined car tracking, offering a comprehensive tool for real-time vehicle counting in designated areas.
a prototype through raspberry pi shows whether the captured video consists of a car or not and counts them.
Implemention of Fast RCNN by Tensorflow
Car Counter using YOLOv8 is a real-time vehicle detection and counting system powered by Ultralytics’ YOLOv8. It processes video streams to identify and track cars as they cross user-defined Regions of Interest (ROI), providing an accurate live count overlay. Built with modular Python code and OpenCV, the project supports video inputs and customiza
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