{"id":16830073,"url":"https://github.com/mwoss/opencv-raspberry-pi","last_synced_at":"2026-04-19T14:06:03.160Z","repository":{"id":106929127,"uuid":"111738584","full_name":"mwoss/opencv-raspberry-pi","owner":"mwoss","description":"Video capture on Raspberry Pi/PC using OpenCV","archived":false,"fork":false,"pushed_at":"2018-11-11T20:35:26.000Z","size":3745,"stargazers_count":0,"open_issues_count":1,"forks_count":0,"subscribers_count":0,"default_branch":"master","last_synced_at":"2025-03-17T22:46:40.356Z","etag":null,"topics":["numpy","opencv","python","rapsberrypi","video-capture"],"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/mwoss.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":"2017-11-22T22:29:23.000Z","updated_at":"2019-03-10T08:49:07.000Z","dependencies_parsed_at":null,"dependency_job_id":"4260794d-f2e5-49e0-a5ea-fb7b88bb2a36","html_url":"https://github.com/mwoss/opencv-raspberry-pi","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/mwoss/opencv-raspberry-pi","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mwoss%2Fopencv-raspberry-pi","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mwoss%2Fopencv-raspberry-pi/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mwoss%2Fopencv-raspberry-pi/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mwoss%2Fopencv-raspberry-pi/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mwoss","download_url":"https://codeload.github.com/mwoss/opencv-raspberry-pi/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mwoss%2Fopencv-raspberry-pi/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32009243,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-18T20:23:30.271Z","status":"online","status_checked_at":"2026-04-19T02:00:07.110Z","response_time":55,"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":["numpy","opencv","python","rapsberrypi","video-capture"],"created_at":"2024-10-13T11:37:20.491Z","updated_at":"2026-04-19T14:06:03.139Z","avatar_url":"https://github.com/mwoss.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Video capture on Raspberry Pi using OpenCV lib\n\nSmall program allowing video capture on Raspberry Pi. App shares few basic video filters like Canny's edge detection,\nGauss threshold function or even Face recognition using Intel haar cascade. \n\nCode can be used on Raspberry Pi, as well as on normal PC.\n\n## Usage\n\n```\n \u003e\u003e python3 record.py --fun [function_name] --x [x_res_bound] --y [y_res_bound]\n #for example:\n \u003e\u003e python3 record.py --fun gauss-threshold --x 300 -y 400\n```\n\n```\n  --fun [function_name] =\u003e Function that is applied on captured video data, chose from:\n                            basic-threshold,\n                            gauss-threshold,\n                            sobel-det (Sobel edge detection),\n                            laplacian-det (Laplacian edge detection),\n                            canny-edge-det (Candy edge detection),\n                            face-recognition (Face recognition function),\n                            cartoon,\n                            none (None function is applied on video)\n  --x [x_res_bound]     =\u003e Width bound. Range 0 to MAX_CAM_RES_X.\n  --y [y_res_bound]     =\u003e Height bound. Range 0 to MAX_CAM_RES_Y.\n```\n\n## Requirements\n - Python 3.X\n - OpenCV library\n - Numpy library\n \n##### Note: Instruction for installing OpenvCV library on Raspberry Pi in install_instruction.pdf (Polish language) or at [pyimagesearch.com](https://www.pyimagesearch.com/2016/04/18/install-guide-raspberry-pi-3-raspbian-jessie-opencv-3/)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmwoss%2Fopencv-raspberry-pi","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmwoss%2Fopencv-raspberry-pi","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmwoss%2Fopencv-raspberry-pi/lists"}