{"id":23901520,"url":"https://github.com/junya737/mosaic-ai","last_synced_at":"2026-05-06T01:31:52.379Z","repository":{"id":236190253,"uuid":"792106932","full_name":"junya737/mosaic-ai","owner":"junya737","description":"あなた以外をモザイク処理するAIアプリです","archived":false,"fork":false,"pushed_at":"2024-10-20T09:49:09.000Z","size":919,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-04T21:39:16.064Z","etag":null,"topics":["ai","face-detection","machine-learning","streamlit"],"latest_commit_sha":null,"homepage":"https://mosaic-ai.streamlit.app/","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/junya737.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":"2024-04-26T01:49:44.000Z","updated_at":"2024-11-16T13:04:59.000Z","dependencies_parsed_at":"2024-04-29T07:30:51.654Z","dependency_job_id":"514f077b-e915-4923-b446-a3d6982c5fc2","html_url":"https://github.com/junya737/mosaic-ai","commit_stats":null,"previous_names":["junya737/mosaic-ai"],"tags_count":0,"template":false,"template_full_name":"junya737/ihiratch-template","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/junya737%2Fmosaic-ai","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/junya737%2Fmosaic-ai/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/junya737%2Fmosaic-ai/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/junya737%2Fmosaic-ai/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/junya737","download_url":"https://codeload.github.com/junya737/mosaic-ai/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240298925,"owners_count":19779363,"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":["ai","face-detection","machine-learning","streamlit"],"created_at":"2025-01-04T21:39:17.885Z","updated_at":"2026-05-06T01:31:47.352Z","avatar_url":"https://github.com/junya737.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# あなた以外をモザイク処理するAIアプリ\n\n## かんたんな説明\n\n何かとプライバシーに気を使わないといけない現代．\n\nSNSに写真をアップするとき，他の人の顔をモザイク処理したいけど，自分の顔は見せたい．そんなときありませんか？\nAIの力を使って，画像の中からあなたの顔を認識し，あなた以外の顔をモザイク処理します！これで，めんどくさいモザイク処理からはおさらばだ！\n\n[こちら](https://mosaic-ai.streamlit.app/)からぜひ試してみてください！\n\n\u003cfigure\u003e\n  \u003cimg src=\"image.jpeg\" alt=\"image\"\u003e\n  \u003ccenter\u003e\n  \u003cfigcaption\u003eイメージ図\u003c/figcaption\u003e\n\u003c/figure\u003e\n\n## 詳しい説明\n\nこのアプリは，Python．[Face-Recognition API](https://github.com/ageitgey/face_recognition)，Streamlitフレームワークを使用して構築されたモザイク処理アプリです．\nこのアプリは，アップロードされた写真から特定の人物以外の顔にモザイク処理を施します．\nface_recognitionライブラリによって埋め込み表現を計算し，その類似性を求めることで顔認識を行っています．\nモザイク処理後の画像はダウンロードが可能です．\n以下でローカルでのインストール方法，実行方法を示していますが，Streamlit cloud上でお手軽に実行もできます．\n\nURL: https://mosaic-ai.streamlit.app/\n\n\n### 用途\n\n- SNSに他人の写真をアップする際のプライバシー保護\n\n### 機能\n\n\n- 人間の顔の検知と認識\n- 複数の人間が含まれる画像に対応\n- 特定の人物を除いたモザイク処理\n- わかりやすいUI\n\n### 要件\nローカルで実行する際には，以下の要件が必要です．\n\n- Ubuntu 22.04.4 LTS\n- Python 3.10.0\n- face_recognition\n- streamlit==1.33.0\n- opencv-python\n\n### インストールと実行手順\n\n1. リポジトリをクローン\n```\ngit clone git@github.com:junya737/mosaic-ai.git\ncd mosaic-ai\n```\n\n2. conda環境と必要なライブラリの導入\n```\nconda env create -f /environment/environment.yml\n```\n\n3. アプリを実行\n```\ncd scripts\nstreamlit run frontend.py\n```\nこれを実行すると，Network URLが得られるので，それをお使いのブラウザに入力するとアプリを実行できます．\n\n#### 連絡先\n何かご要件，ご要望があれば以下まで．\n\njunyaihira[@]gmail.com\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjunya737%2Fmosaic-ai","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjunya737%2Fmosaic-ai","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjunya737%2Fmosaic-ai/lists"}