{"id":14959067,"url":"https://github.com/qengineering/tensorflow_lite_pose_jetson-nano","last_synced_at":"2025-10-24T16:30:51.292Z","repository":{"id":112948194,"uuid":"335281053","full_name":"Qengineering/TensorFlow_Lite_Pose_Jetson-Nano","owner":"Qengineering","description":"TensorFlow Lite Posenet on a Jetson Nano at 15.2 FPS","archived":false,"fork":false,"pushed_at":"2024-11-20T09:24:14.000Z","size":13131,"stargazers_count":6,"open_issues_count":0,"forks_count":2,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-01-31T03:01:35.505Z","etag":null,"topics":["aarch64","cpp","gpu-acceleration","gpu-delegate","jetson-nano","posenet","tensorflow-examples","tensorflow-lite"],"latest_commit_sha":null,"homepage":"https://qengineering.eu/install-tensorflow-2-lite-on-jetson-nano.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":"2021-02-02T12:26:34.000Z","updated_at":"2024-11-20T09:24:19.000Z","dependencies_parsed_at":null,"dependency_job_id":"89fa477f-9755-46d3-864c-80d867cafafb","html_url":"https://github.com/Qengineering/TensorFlow_Lite_Pose_Jetson-Nano","commit_stats":{"total_commits":11,"total_committers":1,"mean_commits":11.0,"dds":0.0,"last_synced_commit":"580da27434c13663ef123ca5004a5396e9819bd6"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Qengineering%2FTensorFlow_Lite_Pose_Jetson-Nano","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Qengineering%2FTensorFlow_Lite_Pose_Jetson-Nano/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Qengineering%2FTensorFlow_Lite_Pose_Jetson-Nano/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Qengineering%2FTensorFlow_Lite_Pose_Jetson-Nano/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Qengineering","download_url":"https://codeload.github.com/Qengineering/TensorFlow_Lite_Pose_Jetson-Nano/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":237999547,"owners_count":19399903,"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":["aarch64","cpp","gpu-acceleration","gpu-delegate","jetson-nano","posenet","tensorflow-examples","tensorflow-lite"],"created_at":"2024-09-24T13:18:47.494Z","updated_at":"2025-10-24T16:30:46.240Z","avatar_url":"https://github.com/Qengineering.png","language":"C++","readme":"# TensorFlow_Lite_Pose_Jetson-Nano\n![output image]( https://qengineering.eu/images/Pose_Jetson.webp )\u003cbr/\u003e\n## TensorFlow Lite Posenet running on a Jetson Nano\n[![License](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](https://opensource.org/licenses/BSD-3-Clause)\u003cbr/\u003e\u003cbr/\u003e\nA fast C++ implementation of TensorFlow Lite Posenet on a Jetson Nano.\u003cbr/\u003e\nOnce overclocked to 2015 MHz, the app runs at 15.2 FPS.\nSpecial made for a Jetson Nano see [Q-engineering deep learning examples](https://qengineering.eu/deep-learning-examples-on-raspberry-32-64-os.html) \u003cbr/\u003e\n\n------------\n\nPapers: https://medium.com/tensorflow/real-time-human-pose-estimation-in-the-browser-with-tensorflow-js-7dd0bc881cd5\u003cbr/\u003e\n\n------------\n\n## Benchmark.\n| CPU 2015 MHz | GPU 2015 MHz | CPU 1479 MHz | GPU 1479 MHZ | RPi 4 64os 1950 MHz |\n|  :------------: | :-------------: | :-------------:  | :-------------: | :-------------: |\n|  15.2 FPS | 11.8 FPS  | 12 FPS | 11 FPS  | 9.4 FPS |\n\n------------\n\n## Dependencies.\u003cbr/\u003e\nTo run the application, you have to:\n- TensorFlow Lite framework installed. [Install TensorFlow Lite](https://qengineering.eu/install-tensorflow-2-lite-on-jetson-nano.html) \u003cbr/\u003e\n- Optional OpenCV installed. [Install OpenCV 4.5](https://qengineering.eu/install-opencv-4.5-on-jetson-nano.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/TensorFlow_Lite_Pose_Jetson-Nano/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 README.md \u003cbr/\u003e \u003cbr/\u003e\nYour *MyDir* folder must now look like this: \u003cbr/\u003e \nDance.mp4 \u003cbr/\u003e\nposenet_mobilenet_v1_100_257x257_multi_kpt_stripped.tflite \u003cbr/\u003e\nTestTensorFlow_Lite_Pose.cpb \u003cbr/\u003e\nPose_single.cpp\u003cbr/\u003e\n\n------------\n\n## Running the app.\nRun TestTensorFlow_Lite.cpb with Code::Blocks.\u003cbr/\u003e\nYou may need to adapt the specified library locations in *TestTensorFlow_Lite.cpb* to match your directory structure.\u003cbr/\u003e\u003cbr/\u003e\nWith the `#define GPU_DELEGATE` uncommented, the TensorFlow Lite will deploy GPU delegates, if you have, of course, the appropriate libraries compiled by bazel. [Install GPU delegates](https://qengineering.eu/install-tensorflow-2-lite-on-jetson-nano.html) \u003cbr/\u003e\u003cbr/\u003e\nSee the RPi 4 movie at: https://www.youtube.com/watch?v=LxSR5JJRBoI\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\n\n","funding_links":["https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick\u0026hosted_button_id=CPZTM5BB3FCYL"],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fqengineering%2Ftensorflow_lite_pose_jetson-nano","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fqengineering%2Ftensorflow_lite_pose_jetson-nano","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fqengineering%2Ftensorflow_lite_pose_jetson-nano/lists"}