{"id":21802517,"url":"https://github.com/qengineering/squeezenet-ncnn","last_synced_at":"2026-04-19T10:35:04.042Z","repository":{"id":112948005,"uuid":"206067634","full_name":"Qengineering/SqueezeNet-ncnn","owner":"Qengineering","description":"SqueezeNet for ncnn framework","archived":false,"fork":false,"pushed_at":"2021-12-27T11:02:26.000Z","size":4577,"stargazers_count":3,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-03-21T07:14:46.300Z","etag":null,"topics":["cpp","deep-neural-networks","ncnn","ncnn-framework","ncnn-squeezenet","raspberry","raspberry-pi","raspberry-pi-3","raspberry-pi-4","squeezenet"],"latest_commit_sha":null,"homepage":"https://qengineering.eu/opencv-c-examples-on-raspberry-pi.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,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-09-03T12:05:05.000Z","updated_at":"2025-03-14T14:22:07.000Z","dependencies_parsed_at":null,"dependency_job_id":"0b056837-402d-4bcc-a200-ae6fd5dc2fb2","html_url":"https://github.com/Qengineering/SqueezeNet-ncnn","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Qengineering/SqueezeNet-ncnn","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Qengineering%2FSqueezeNet-ncnn","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Qengineering%2FSqueezeNet-ncnn/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Qengineering%2FSqueezeNet-ncnn/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Qengineering%2FSqueezeNet-ncnn/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Qengineering","download_url":"https://codeload.github.com/Qengineering/SqueezeNet-ncnn/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Qengineering%2FSqueezeNet-ncnn/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32004041,"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":["cpp","deep-neural-networks","ncnn","ncnn-framework","ncnn-squeezenet","raspberry","raspberry-pi","raspberry-pi-3","raspberry-pi-4","squeezenet"],"created_at":"2024-11-27T11:29:16.879Z","updated_at":"2026-04-19T10:35:04.021Z","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":"# SqueezeNet for the ncnn framework\n![output image]( https://qengineering.eu/images/SqueezeNet_Hippo.jpg )\u003cbr/\u003e\n## SqueezeNet 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\nPaper: https://arxiv.org/pdf/1602.07360.pdf\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\nTraining set: ImageNet 2012 \u003cbr/\u003e\nSize: 227x227 \u003cbr/\u003e\nPrediction time: 85 mSec (RPi 4) \u003cbr/\u003e\n\n------------\n\n## Dependencies. \u003cbr/\u003e\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/SqueezeNet-ncnn/archive/refs/heads/master.zip \u003cbr/\u003e\n$ unzip -j master.zip \u003cbr/\u003e\nRemove master.zip and README.md as they are no longer needed. \u003cbr/\u003e \n$ rm master.zip \u003cbr/\u003e\n$ rm README.md \u003cbr/\u003e \u003cbr/\u003e\nYour *MyDir* folder must now look like this: \u003cbr/\u003e \ncat.jpg \u003cbr/\u003e\nhippo.jpg \u003cbr/\u003e\nshufflenet.bin \u003cbr/\u003e\nshufflenet.param \u003cbr/\u003e\nShuffleNet.cpb \u003cbr/\u003e\nshufflenetv2.cpp \u003cbr/\u003e\n\n------------\n\n## Running the app.\nTo run the application load the project file ShuffleNet.cbp in Code::Blocks. More info or\u003cbr/\u003e \nif you want to connect a camera to the app, 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[![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%2Fsqueezenet-ncnn","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fqengineering%2Fsqueezenet-ncnn","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fqengineering%2Fsqueezenet-ncnn/lists"}