{"id":28851495,"url":"https://github.com/sonnyson-p/opencv-teaching-works","last_synced_at":"2026-04-28T01:32:15.907Z","repository":{"id":294186780,"uuid":"930898091","full_name":"SonnySon-P/OpenCV-Teaching-Works","owner":"SonnySon-P","description":"OpenCV入門教學","archived":false,"fork":false,"pushed_at":"2025-05-19T08:36:53.000Z","size":133,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-19T21:05:10.450Z","etag":null,"topics":["anaconda","opencv","python"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/SonnySon-P.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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,"zenodo":null}},"created_at":"2025-02-11T11:50:22.000Z","updated_at":"2025-05-19T08:36:57.000Z","dependencies_parsed_at":"2025-05-20T00:02:00.179Z","dependency_job_id":null,"html_url":"https://github.com/SonnySon-P/OpenCV-Teaching-Works","commit_stats":null,"previous_names":["sonnyson-p/opencv-teaching-works"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/SonnySon-P/OpenCV-Teaching-Works","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SonnySon-P%2FOpenCV-Teaching-Works","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SonnySon-P%2FOpenCV-Teaching-Works/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SonnySon-P%2FOpenCV-Teaching-Works/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SonnySon-P%2FOpenCV-Teaching-Works/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/SonnySon-P","download_url":"https://codeload.github.com/SonnySon-P/OpenCV-Teaching-Works/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SonnySon-P%2FOpenCV-Teaching-Works/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32362781,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-27T20:07:02.737Z","status":"ssl_error","status_checked_at":"2026-04-27T20:07:00.910Z","response_time":128,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 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":["anaconda","opencv","python"],"created_at":"2025-06-19T21:05:09.301Z","updated_at":"2026-04-28T01:32:15.902Z","avatar_url":"https://github.com/SonnySon-P.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# OpenCV的教學資源\n \n **一、動機說明：** 這篇文章的內容主要源自於我在高中任教期間所設計的一門人工智慧課程。當時，我希望能夠幫助學生迅速進入人工智慧領域，特別是深度學習的世界。為了實現這個目標，我精心規劃了一套以影像辨識為核心的課程設計，旨在激發學生的創意思維、問題解決能力與實作技巧。最初，課程所使用的程式語言是Matlab，但經過深思熟慮後，我意識到若希望學生能與當前流行的深度學習框架(如Keras與PyTorch)進行有效結合，則必須在影像處理部分採用更具彈性與擴展性的工具。於是，我決定引入OpenCV作為課程的影像處理工具，為影像辨識教學做準備，這不僅能夠增強學生對現代深度學習技術的鋪路，也能夠使他們的實作更加符合業界的需求。\n \n \u003e [!Note]\n \u003e 由於受教者為高中生，課程的主要目標是引導學生探索興趣，因此所介紹的OpenCV指令僅為部分內容，且可能尚未完備，敬請讀者見諒。\n \n **二、開發環境：** Anaconda\n \n **三、開發語言：** Python\n \n **四、使用套件：** OpenCV、NumPy\n 1. OpenCV是一個功能強大且多用途的影像處理庫，提供了一系列精緻的工具，包括影像的讀取、儲存、調整、濾鏡應用、色彩空間轉換，以及影像增強與修復等技術，並且可與硬體設備進行互動。除了影像處理外，OpenCV還支持視訊串流的處理，能夠進行視訊的讀取、顯示、儲存及即時處理。此外，OpenCV擁有先進的物體檢測與識別功能，支持運動追蹤及深度學習模組，並提供多種幾何變換、電腦視覺演算法、3D處理和影像拼接技術。\n 2. NumPy是Python中一個極為強大且廣泛使用的資料科學套件，它提供了高效能的多維陣列物件，讓使用者能夠快速進行數據處理與數學運算。\n \n **五、參考資源：** 在網路上，只要輸入關鍵字「OpenCV 教學」或「OpenCV 教學」，便能輕鬆搜尋到大量免費的線上學習資源。當然，也有許多優質的教學平台可供選擇，以下是我曾參考過的一些平台，這些資源對於學習影像辨識和提升相關技能都極為有幫助。\n 1. [STEAM教育學習網](https://steam.oxxostudio.tw/category/python/ai/opencv-index.html)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsonnyson-p%2Fopencv-teaching-works","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsonnyson-p%2Fopencv-teaching-works","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsonnyson-p%2Fopencv-teaching-works/lists"}