{"id":21802535,"url":"https://github.com/qengineering/hand-pose-ncnn-raspberry-pi-4","last_synced_at":"2026-05-13T05:40:27.339Z","repository":{"id":50342142,"uuid":"518466628","full_name":"Qengineering/Hand-Pose-ncnn-Raspberry-Pi-4","owner":"Qengineering","description":"Fast hand pose estimation on a bare Raspberry Pi 4 at 7 FPS","archived":false,"fork":false,"pushed_at":"2022-12-10T12:42:10.000Z","size":4948,"stargazers_count":3,"open_issues_count":3,"forks_count":0,"subscribers_count":3,"default_branch":"main","last_synced_at":"2025-01-26T03:45:47.601Z","etag":null,"topics":["cpp","deep-learning","finger-detection","hand-pose","hand-pose-estimation","ncnn","ncnn-model","palm-detection","raspberry-pi","raspberry-pi-4","raspberry-pi-64-os"],"latest_commit_sha":null,"homepage":"https://qengineering.eu/deep-learning-examples-on-raspberry-32-64-os.html","language":"C++","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"bsd-3-clause","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":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2022-07-27T13:19:44.000Z","updated_at":"2023-11-15T01:37:56.000Z","dependencies_parsed_at":"2023-01-26T01:45:37.227Z","dependency_job_id":null,"html_url":"https://github.com/Qengineering/Hand-Pose-ncnn-Raspberry-Pi-4","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Qengineering%2FHand-Pose-ncnn-Raspberry-Pi-4","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Qengineering%2FHand-Pose-ncnn-Raspberry-Pi-4/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Qengineering%2FHand-Pose-ncnn-Raspberry-Pi-4/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Qengineering%2FHand-Pose-ncnn-Raspberry-Pi-4/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Qengineering","download_url":"https://codeload.github.com/Qengineering/Hand-Pose-ncnn-Raspberry-Pi-4/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244752360,"owners_count":20504256,"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":["cpp","deep-learning","finger-detection","hand-pose","hand-pose-estimation","ncnn","ncnn-model","palm-detection","raspberry-pi","raspberry-pi-4","raspberry-pi-64-os"],"created_at":"2024-11-27T11:29:21.859Z","updated_at":"2026-05-13T05:40:27.315Z","avatar_url":"https://github.com/Qengineering.png","language":"C++","funding_links":["https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick\u0026hosted_button_id=CPZTM5BB3FCYL"],"categories":[],"sub_categories":[],"readme":"# Hand Pose on a Raspberry Pi\n![output image]( https://qengineering.eu/images/HandPoseOut.jpg )\n## Hand pose with the ncnn framework. \u003cbr/\u003e\n[![License](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](https://opensource.org/licenses/BSD-3-Clause)\u003cbr/\u003e\u003cbr/\u003e\nSpecial made for a bare Raspberry Pi 4, see [Q-engineering deep learning examples](https://qengineering.eu/deep-learning-examples-on-raspberry-32-64-os.html)\n\n------------\n\n## Dependencies.\nTo run the application, you have to:\n- A raspberry Pi 4 with a 32 or 64-bit operating system. It can be the Raspberry 64-bit OS, or Ubuntu 18.04 / 20.04. [Install 64-bit OS](https://qengineering.eu/install-raspberry-64-os.html) \u003cbr/\u003e\n- The Tencent ncnn framework installed. [Install ncnn](https://qengineering.eu/install-ncnn-on-raspberry-pi-4.html) \u003cbr/\u003e\n- OpenCV 64 bit installed. [Install OpenCV 4.5](https://qengineering.eu/install-opencv-4.5-on-raspberry-64-os.html) \u003cbr/\u003e\n- Code::Blocks installed. (```$ sudo apt-get install codeblocks```)\n\n------------\n\n## Installing the app.\nTo extract and run the network in Code::Blocks \u003cbr/\u003e\n$ mkdir *MyDir* \u003cbr/\u003e\n$ cd *MyDir* \u003cbr/\u003e\n$ wget https://github.com/Qengineering/Hand-Pose-ncnn-Raspberry-Pi-4/archive/refs/heads/main.zip \u003cbr/\u003e\n$ unzip -j master.zip \u003cbr/\u003e\nRemove master.zip, LICENSE and README.md as they are no longer needed. \u003cbr/\u003e \n$ rm master.zip \u003cbr/\u003e\n$ rm LICENSE \u003cbr/\u003e\n$ rm README.md \u003cbr/\u003e \u003cbr/\u003e\nYour *MyDir* folder must now look like this: \u003cbr/\u003e \nhand.jpg \u003cbr/\u003e\nNanoDetHand.cpb \u003cbr/\u003e\nnanodet_hand.cpp \u003cbr/\u003e\nhand_lite-op.bin \u003cbr/\u003e\nhand_lite-op.param \u003cbr/\u003e\nhandpose.bin \u003cbr/\u003e\nhandpose.param \u003cbr/\u003e\n\n------------\n\n## Running the app.\nTo run the application load the project file NanoDetHand.cbp in Code::Blocks.\u003cbr/\u003e \nNext, follow the instructions at [Hands-On](https://qengineering.eu/deep-learning-examples-on-raspberry-32-64-os.html#HandsOn).\u003cbr/\u003e\u003cbr/\u003e\n\n------------\n\n### Thanks.\nhttps://github.com/Tencent/ncnn\u003cbr/\u003e\nhttps://github.com/nihui\u003cbr/\u003e\nhttps://github.com/FeiGeChuanShu\u003cbr/\u003e\u003cbr/\u003e\n\n------------\n\n[![paypal](https://qengineering.eu/images/TipJarSmall4.png)](https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick\u0026hosted_button_id=CPZTM5BB3FCYL) \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fqengineering%2Fhand-pose-ncnn-raspberry-pi-4","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fqengineering%2Fhand-pose-ncnn-raspberry-pi-4","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fqengineering%2Fhand-pose-ncnn-raspberry-pi-4/lists"}