{"id":15132120,"url":"https://github.com/mayhixza/vehicle-tracking","last_synced_at":"2026-01-19T07:32:24.294Z","repository":{"id":255422627,"uuid":"848958666","full_name":"mayhixza/vehicle-tracking","owner":"mayhixza","description":"This project focuses on tracking multiple objects throughout a video to accurately monitor and count vehicles as they enter and exit the frame.","archived":false,"fork":false,"pushed_at":"2024-08-29T19:40:22.000Z","size":9563,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-05T21:43:14.426Z","etag":null,"topics":["colab-notebook","computer-vision","machine-learning","opencv","yolov8"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/mayhixza.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-08-28T18:05:21.000Z","updated_at":"2024-08-30T07:57:13.000Z","dependencies_parsed_at":null,"dependency_job_id":"08ca0649-2586-4a7d-8b49-d0b5bde778d7","html_url":"https://github.com/mayhixza/vehicle-tracking","commit_stats":null,"previous_names":["mayhixza/vehicle-tracking"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/mayhixza/vehicle-tracking","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mayhixza%2Fvehicle-tracking","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mayhixza%2Fvehicle-tracking/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mayhixza%2Fvehicle-tracking/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mayhixza%2Fvehicle-tracking/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mayhixza","download_url":"https://codeload.github.com/mayhixza/vehicle-tracking/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mayhixza%2Fvehicle-tracking/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28562993,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-19T03:31:16.861Z","status":"ssl_error","status_checked_at":"2026-01-19T03:31:15.069Z","response_time":67,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["colab-notebook","computer-vision","machine-learning","opencv","yolov8"],"created_at":"2024-09-26T04:03:51.271Z","updated_at":"2026-01-19T07:32:24.271Z","avatar_url":"https://github.com/mayhixza.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Vehicle Tracking Project\n\nThis repository contains code for a vehicle tracking model developed using OpenCV and YOLOv8 which supports a range of vision AI tasks, including detection, segmentation, tracking, and classification. This project aims to track various objects throughout a video and determine the number of vehicles leaving and entering the frame. This code serves as a preliminary implementation for detecting traffic congestion. It sets up the necessary parameters and initial configurations for analyzing traffic patterns.\n\n## Run the Notebook on Google Colab\n\n[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/mayhixza/vehicle-tracking/blob/main/vehicle_tracking.ipynb)\n\n### How to Use the Colab Notebook\n\nTo run this project in Google Colab, click the \"Open in Colab\" button above. Follow these simple steps to set it up:\n\n1. **Click the \"Open in Colab\" button** above to open the notebook in Google Colab.\n2. **Run the setup cell**: The first cell installs all necessary libraries and mounts Google Drive if needed. You only need to do this once.\n3. **Follow the notebook instructions**: Run each cell in order to execute the code and see the results.\n\n**Note**: You must have a Google account to use Google Colab.\n\n### Requirements\n\n- Google Account to access Google Colab.\n- Python dependencies specified in the `requirements.txt` file (automatically installed in the setup cell).\n  \nBelow is an example of a processed frame from the video. (Sample video source: https://www.pexels.com/video/traffic-flow-in-the-highway-2103099/)\n\n![sample1_output (1) (1)](https://github.com/user-attachments/assets/869951fe-56bd-4357-a48f-409737f87f39)\n\nYou can change and experiment with other parameters supported by YOLOv8 to build upon this project using different datasets.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmayhixza%2Fvehicle-tracking","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmayhixza%2Fvehicle-tracking","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmayhixza%2Fvehicle-tracking/lists"}