{"id":15938975,"url":"https://github.com/inokinoki/sy32-image-processing","last_synced_at":"2025-08-02T04:08:49.731Z","repository":{"id":91522351,"uuid":"175090713","full_name":"Inokinoki/sy32-image-processing","owner":"Inokinoki","description":"Face detection implemented as a course project","archived":false,"fork":false,"pushed_at":"2020-07-11T09:24:45.000Z","size":29583,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-04-03T20:21:56.288Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"Python","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/Inokinoki.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":"2019-03-11T22:03:55.000Z","updated_at":"2020-07-11T09:33:19.000Z","dependencies_parsed_at":null,"dependency_job_id":"ab6c7108-bb19-4019-ae17-83d4c898efa7","html_url":"https://github.com/Inokinoki/sy32-image-processing","commit_stats":{"total_commits":11,"total_committers":1,"mean_commits":11.0,"dds":0.0,"last_synced_commit":"8c13a3d1c993635793e6791f5ef82b22f1eedff2"},"previous_names":[],"tags_count":2,"template":false,"template_full_name":null,"purl":"pkg:github/Inokinoki/sy32-image-processing","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Inokinoki%2Fsy32-image-processing","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Inokinoki%2Fsy32-image-processing/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Inokinoki%2Fsy32-image-processing/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Inokinoki%2Fsy32-image-processing/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Inokinoki","download_url":"https://codeload.github.com/Inokinoki/sy32-image-processing/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Inokinoki%2Fsy32-image-processing/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":268334109,"owners_count":24233782,"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","status":"online","status_checked_at":"2025-08-02T02:00:12.353Z","response_time":74,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":[],"created_at":"2024-10-07T06:01:04.012Z","updated_at":"2025-08-02T04:08:49.707Z","avatar_url":"https://github.com/Inokinoki.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# SY32 Image Processing Course Project\n\nThis project contains:\n\n- course exercises([TD](/TD))\n- homework([TP](/TP))\n- final project([facial-detection](/facial-detection))\n\nwhich are attached to my SY32 Image Processing course.\n\n# Facial Detection\n\nTrain a Machine Learning Model to detect faces in images, Support Vector Machine(SVM) as core algorithm, Histogram of Oriented Gradients as feature.\n\n# How to use\n\n1. Download the pre-trained model from project release, put it into the facial-detection folder. You can also train your own using `train.py`.\n2. Install dependencies:\n\n```\npip install sklearn sklearn-image numpy\n```\n\n3. Unzip `project_test.zip` (and `project_train.zip` if you'd like to train/optimize the model)\n4. Run:\n\n```\npython test.py\n```\n\nor\n\n```\npython test.py 1\n```\n\nif you only want to test with the `0001.jpg`.\n\nThen you'll get the face description file. There should be position and size info.\n\nAnd if you choose to detect a single image, the faces in it will be cropped into several files.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Finokinoki%2Fsy32-image-processing","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Finokinoki%2Fsy32-image-processing","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Finokinoki%2Fsy32-image-processing/lists"}