{"id":21802524,"url":"https://github.com/qengineering/ncnn_raspberry","last_synced_at":"2026-05-17T19:37:33.325Z","repository":{"id":112947066,"uuid":"207516957","full_name":"Qengineering/ncnn_raspberry","owner":"Qengineering","description":"ncnn deep learning framework for Raspberry Pi ","archived":false,"fork":false,"pushed_at":"2019-09-10T12:03:24.000Z","size":674,"stargazers_count":3,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-10-19T19:19:59.943Z","etag":null,"topics":["framework","ncnn","raspberry-pi"],"latest_commit_sha":null,"homepage":null,"language":"C++","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/Qengineering.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":"2019-09-10T09:24:00.000Z","updated_at":"2024-09-24T17:35:50.000Z","dependencies_parsed_at":"2023-03-16T17:46:07.225Z","dependency_job_id":null,"html_url":"https://github.com/Qengineering/ncnn_raspberry","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Qengineering/ncnn_raspberry","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Qengineering%2Fncnn_raspberry","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Qengineering%2Fncnn_raspberry/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Qengineering%2Fncnn_raspberry/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Qengineering%2Fncnn_raspberry/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Qengineering","download_url":"https://codeload.github.com/Qengineering/ncnn_raspberry/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Qengineering%2Fncnn_raspberry/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":33152079,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-17T09:28:26.183Z","status":"ssl_error","status_checked_at":"2026-05-17T09:27:52.702Z","response_time":107,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 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":["framework","ncnn","raspberry-pi"],"created_at":"2024-11-27T11:29:18.630Z","updated_at":"2026-05-17T19:37:33.291Z","avatar_url":"https://github.com/Qengineering.png","language":"C++","funding_links":[],"categories":[],"sub_categories":[],"readme":"# ncnn_raspberry\nncnn deep learning framework for Raspberry Pi used for all the networks here at the repository \u003cbr/\u003e \nSee for examples: https://qengineering.eu/opencv-c-examples-on-raspberry-pi.html \u003cbr/\u003e \n\u003cbr/\u003e Installation on a Raspberry Pi 2, 3 or 4: \u003cbr/\u003e \u003cbr/\u003e\n$ git clone https://github.com/Qengineering/ncnn_raspberry \u003cbr/\u003e\n$ cd ncnn_raspberry \u003cbr/\u003e\n$ chmod 755 install_ncnn_script \u003cbr/\u003e\n$ ./install_ncnn_script \u003cbr/\u003e \u003cbr/\u003e\nIf everthing went well libncnn.a must be stored in folder /usr/local/lib/ncnn \u003cbr/\u003e\nand in folder /usr/local/include/ncnn there must be 17 .h files stored\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fqengineering%2Fncnn_raspberry","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fqengineering%2Fncnn_raspberry","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fqengineering%2Fncnn_raspberry/lists"}