{"id":21802525,"url":"https://github.com/qengineering/mobilenet_ssd_opencv_tensorflow","last_synced_at":"2025-04-13T18:42:07.948Z","repository":{"id":112946610,"uuid":"234567175","full_name":"Qengineering/MobileNet_SSD_OpenCV_TensorFlow","owner":"Qengineering","description":null,"archived":false,"fork":false,"pushed_at":"2021-12-27T09:56:34.000Z","size":100,"stargazers_count":14,"open_issues_count":0,"forks_count":13,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-03-27T09:23:20.382Z","etag":null,"topics":["bare-raspberry-pi","cpp","dnn","mobilenet-ssd","opencv","raspberry-pi","ssd","tensorflow","testopencv-tensorflow"],"latest_commit_sha":null,"homepage":null,"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":"2020-01-17T14:39:38.000Z","updated_at":"2025-01-21T04:53:16.000Z","dependencies_parsed_at":"2023-03-16T17:45:13.275Z","dependency_job_id":null,"html_url":"https://github.com/Qengineering/MobileNet_SSD_OpenCV_TensorFlow","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%2FMobileNet_SSD_OpenCV_TensorFlow","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Qengineering%2FMobileNet_SSD_OpenCV_TensorFlow/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Qengineering%2FMobileNet_SSD_OpenCV_TensorFlow/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Qengineering%2FMobileNet_SSD_OpenCV_TensorFlow/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Qengineering","download_url":"https://codeload.github.com/Qengineering/MobileNet_SSD_OpenCV_TensorFlow/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248764570,"owners_count":21158114,"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":["bare-raspberry-pi","cpp","dnn","mobilenet-ssd","opencv","raspberry-pi","ssd","tensorflow","testopencv-tensorflow"],"created_at":"2024-11-27T11:29:18.668Z","updated_at":"2025-04-13T18:42:07.943Z","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":"# MobileNetV1/V2_SSD for the DNN modul of OpenCV\n![output image]( https://qengineering.eu/images/V1_FPS.png )\n## A example of OpenCV dnn framework working on a bare Raspberry Pi with TensorFlow models. \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/abs/1611.10012\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: COCO \u003cbr/\u003e\nSize: 300x300 \u003cbr/\u003e\nFrame rate V1     : 3.19 FPS (RPi 4) \u003cbr/\u003e\nFrame rate V1_0.75: 4.98 FPS (RPi 4) \u003cbr/\u003e\nFrame rate V2     : 2.02 FPS (RPi 4) \u003cbr/\u003e\nFrame rate V2 Lite: 3.86 FPS (RPi 4) \u003cbr/\u003e\n\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- 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/MobileNet_SSD_OpenCV_TensorFlow/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 \nTraffic.jpg \u003cbr/\u003e\nCOCO_labels.txt \u003cbr/\u003e\nfrozen_inference_graph_V1.pb (download this file from: https://drive.google.com/open?id=1sDn1guYV6oj-AeYuC-riGRh4kv9XBTMz )\u003cbr/\u003e\nfrozen_inference_graph_V2.pb (download this file from: https://drive.google.com/open?id=1EU6tVcDNLNwv-pbJUXL7wYUchFHxr5fw )\u003cbr/\u003e\nssd_mobilenet_v1_coco_2017_11_17.pbtxt \u003cbr/\u003e\nssd_mobilenet_v2_coco_2018_03_29.pbtxt \u003cbr/\u003e\nTestOpenCV_TensorFlow.cpb \u003cbr/\u003e\nMobileNetV1.cpp (can be use for V2 version also)\u003cbr/\u003e\n\n------------\n\n## Running the app.\nTo run the application load the project file TestOpenCV_TensorFlow.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![output image]( https://qengineering.eu/images/V1_075_FPS.png )\n![output image]( https://qengineering.eu/images/V2_FPS.png )\n![output image]( https://qengineering.eu/images/V2_Lite_FPS.png )\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%2Fmobilenet_ssd_opencv_tensorflow","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fqengineering%2Fmobilenet_ssd_opencv_tensorflow","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fqengineering%2Fmobilenet_ssd_opencv_tensorflow/lists"}