{"id":23119049,"url":"https://github.com/gazeux33/carplatedetection","last_synced_at":"2025-04-04T02:27:35.659Z","repository":{"id":257944884,"uuid":"873176785","full_name":"Gazeux33/CarPlateDetection","owner":"Gazeux33","description":"Create a pipeline of two finetunned YOLOv8 models to detect and analyze car plates","archived":false,"fork":false,"pushed_at":"2024-10-15T19:18:18.000Z","size":22716,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-02-09T14:19:38.106Z","etag":null,"topics":["carplate","computer-vision","deep-learning","fine-tuning","pipeline","pytorch","ultralytics","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/Gazeux33.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":"2024-10-15T18:15:54.000Z","updated_at":"2024-10-15T19:21:12.000Z","dependencies_parsed_at":null,"dependency_job_id":"0fb4ec54-31b4-4d49-88fc-50fbc70f76df","html_url":"https://github.com/Gazeux33/CarPlateDetection","commit_stats":null,"previous_names":["gazeux33/carplatedetection"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Gazeux33%2FCarPlateDetection","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Gazeux33%2FCarPlateDetection/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Gazeux33%2FCarPlateDetection/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Gazeux33%2FCarPlateDetection/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Gazeux33","download_url":"https://codeload.github.com/Gazeux33/CarPlateDetection/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247109813,"owners_count":20885145,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":["carplate","computer-vision","deep-learning","fine-tuning","pipeline","pytorch","ultralytics","yolov8"],"created_at":"2024-12-17T05:31:24.891Z","updated_at":"2025-04-04T02:27:35.641Z","avatar_url":"https://github.com/Gazeux33.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Car Plate Detection and Recognition\n\nThe aim of this project is to create a **pipeline** with two models to detect and recognize car plates. The first model \nis able to detect the car plate in an image and the second model is able to recognize the characters in the car plate.\nTheses models are **finetunned Yolov8**.\n\n## PipeLine\n\n\u003cdiv\u003e\n\t\u003cimg src=\"https://github.com/Gazeux33/CarPlateDetection/blob/master/assets/pipeline.png\"\u003e\n\u003c/div\u003e\n\n\n## Data\n\nTo train theses two models I used two differents dataset.\n\nDataset for the Location Model : [Car Plate Detection - YoloV8](https://www.kaggle.com/datasets/nimapourmoradi/car-plate-detection-yolov8)\n\u003cbr\u003e\nDataset for the Digits Model : [Persian Plates Digits Detection - YoloV8](https://www.kaggle.com/code/nimapourmoradi/persian-plates-digits-detection-yolov8)\n\n## How to use\nThe configuration file is **config.yaml**\n\nInstall all dependensies\n```bash\npip install -r requirements.txt\n\n```\n\nTo process an image you can use this command \n```bash\npython main.py path_to_your_image\n\n```\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgazeux33%2Fcarplatedetection","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgazeux33%2Fcarplatedetection","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgazeux33%2Fcarplatedetection/lists"}