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\n

\n \n $\"Tensorflow$ \n \n\n

tensorflow-lite

\n\n

\n Docker image sources for dev and production environments supporting Tensorflow Lite and Coral APIs for both Python and C++.\n
\n Docker Hub »\n
\n
\n ·\n Report Bug\n ·\n Request Feature\n

\n\n\n\n

Table of Contents

\n About The Project\n
- Built With
\n
\n Getting Started\n
- Prerequisites
- Installation
\n
Roadmap
Contributing
License
Contact
Acknowledgments

\n\n\n\n## About The Project\n\nThis is the repository to build images for the Docker Hub [repository](https://hub.docker.com/repository/docker/jjhickman/tensorflow-lite/general), `jjhickman/tensorflow-lite`.\n\n

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\n\n\n### Built With\n\n* [Tensorflow][Tensorflow-url]\n* [C++][C++-url]\n* [Python][Python-url]\n\n

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\n\n\n\n## Getting Started\n\nThis is an example of how you may give instructions on setting up your project locally.\nTo get a local copy up and running follow these simple example steps.\n\n### Prerequisites\n\nJust plain old Docker and git. NOTE: Current supported architectures:\n1. `arm64` - `aarch64`/`arm64`\n2. `amd64` - `x86_64`/`amd64`\n\n### Installation\n1. For development, either use remote-containers extension in VS Code to run `jjhickman/tensorflow-lite:[TAG]`or run the following\n ```sh\n docker run -it -v ./workspace:/tensorflow-lite jjhickman/tensorflow-lite:[TAG] bash\n ```\n2. Examples can be found under /coral/pycoral.\n ```sh\n cd coral/pycoral \\\n && python3 examples/classify_image.py \\\n --model test_data/mobilenet_v2_1.0_224_inat_bird_quant_edgetpu.tflite \\\n --labels test_data/inat_bird_labels.txt \\\n --input test_data/parrot.jpg\n ```\n\n

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\n\n\n## Roadmap\n\n- [ ] Dual Edge TPU and PCIE Support\n- [ ] Libcoral C++ API support\n- [ ] Smaller production images\n- [ ] More examples\n\nSee the [open issues](https://github.com/jjhickman/tensorflow-lite/issues) for a full list of proposed features (and known issues).\n\n

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\n\n\n\n## Contributing\n\nContributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are **greatly appreciated**.\n\nIf you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag \"enhancement\".\nDon't forget to give the project a star! Thanks again!\n\n1. Fork the Project\n2. Create your Feature Branch (`git checkout -b feature/AmazingFeature`)\n3. Commit your Changes (`git commit -m 'Add some AmazingFeature'`)\n4. Push to the Branch (`git push origin feature/AmazingFeature`)\n5. Open a Pull Request\n\n

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\n\n\n\n## License\n\nDistributed under the MIT License. See `LICENSE` for more information.\n\n

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\n\n\n\n## Contact\n\nProject Link: [https://github.com/jjhickman/tensorflow-lite](https://github.com/jjhickman/tensorflow-lite)\n\n

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\n\n\n\n## Acknowledgments\n\n* [Google Coral Docs](https://coral.ai/docs/accelerator/get-started/#1-install-the-edge-tpu-runtime)\n* [Tensorflow Lite Docs](https://www.tensorflow.org/lite/)\n\n

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\n\n\n\n\n[contributors-shield]: https://img.shields.io/github/contributors/github_username/repo_name.svg?style=for-the-badge\n[contributors-url]: https://github.com/jjhickman/tensorflow-lite/graphs/contributors\n[forks-shield]: https://img.shields.io/github/forks/jjhickman/tensorflow-lite.svg?style=for-the-badge\n[forks-url]: https://github.com/jjhickman/tensorflow-lite/network/members\n[stars-shield]: https://img.shields.io/github/stars/jjhickman/tensorflow-lite.svg?style=for-the-badge\n[stars-url]: https://github.com/jjhickman/tensorflow-lite/stargazers\n[issues-shield]: https://img.shields.io/github/issues/jjhickman/tensorflow-lite.svg?style=for-the-badge\n[issues-url]: https://github.com/jjhickman/tensorflow-lite/issues\n[license-shield]: https://img.shields.io/github/license/jjhickman/tensorflow-lite.svg?style=for-the-badge\n[license-url]: https://github.com/jjhickman/tensorflow-lite/blob/master/LICENSE.txt\n[linkedin-shield]: https://img.shields.io/badge/-LinkedIn-black.svg?style=for-the-badge&logo=linkedin&colorB=555\n[linkedin-url]: https://linkedin.com/in/joshjh\n[Tensorflow-url]: https://www.tensorflow.org/lite/\n[Python-url]: https://www.python.org/\n[C++-url]: https://cplusplus.com/","has_starred","hub_user","immutable_tags_settings",{"_70":11,"_71":72},"enabled","rules",[73],".*","is_automated","permissions",{"_77":17,"_78":11,"_79":11},"read","write","admin","user","storage_size",508246493,"orgData","recentTags",[86],{"_87":39,"_88":89,"_90":91,"_92":93,"_94":95,"_96":97,"_45":128,"_129":89,"_130":28,"_131":51,"_52":132,"_133":134,"_135":118,"_136":128,"_137":61,"_138":17},"content_type","creator",7061159,"digest","sha256:a830f4787d544cda3caa90f206d05c4903a2f4e802fed67c3e23db132bedf709","full_size",248086422,"id",609472056,"images",[98,115,120,125],{"_99":100,"_90":101,"_102":103,"_104":105,"_106":107,"_108":109,"_110":103,"_111":-5,"_112":113,"_58":61,"_114":-5},"architecture","amd64","sha256:55f349227acc7be3a35cd2e15b6a5344f50b64e89d23c2fa527aa4b7688672de","features","","last_pulled","2026-09-12T12:52:01.946680882Z","last_pushed","2024-02-25T20:40:30Z","os","linux","os_features","os_version","size",260140547,"variant",{"_99":116,"_90":117,"_102":103,"_104":118,"_106":119,"_108":109,"_110":103,"_111":-5,"_112":93,"_58":61,"_114":-5},"arm64","sha256:ffa19befd2a9ce63f56af9263927cb2c129745bfa596885f33290d8083690d3d","2026-09-12T12:52:02.018371795Z","2024-02-25T20:40:29Z",{"_99":121,"_90":122,"_102":103,"_104":123,"_106":107,"_108":121,"_110":103,"_111":-5,"_112":124,"_58":61,"_114":-5},"unknown","sha256:f71772701a1ff25e68eb7987f74211afd5aecd8c59c58633344e34d132205557","2026-09-12T12:52:01.981526631Z",1130,{"_99":121,"_90":126,"_102":103,"_104":127,"_106":107,"_108":121,"_110":103,"_111":-5,"_112":124,"_58":61,"_114":-5},"sha256:4d40372208a062e53ef61e8dea0c93d4959845c4fa1d90cb9d3d159487e9fb68","2026-09-12T12:52:01.942967988Z","2024-02-25T20:40:31.357002Z","last_updater","last_updater_username","media_type","latest","repository",23195883,"tag_last_pulled","tag_last_pushed","tag_status","v2","sbxKitMetadata","isPotentialSpam","isHubSbxKitsEnabled","displaySecurityMetadata","tagAttestations","tagsHaveAttestations",[],"routes/_layout.r.$namespace.$reponame.tags",{"_33":148,"_155":156,"_144":168,"_169":11},{"_35":149,"_37":150,"_40":41,"_42":43,"_44":11,"_45":46,"_47":48,"_49":151,"_52":30,"_27":28,"_53":54,"_55":39,"_56":57,"_58":59,"_60":61,"_62":-5,"_63":57,"_64":65,"_66":11,"_67":28,"_68":152,"_74":11,"_75":154,"_80":28,"_81":82},[],[39],[51],{"_70":11,"_71":153},[73],{"_77":17,"_78":11,"_79":11},"tags",{"_157":59,"_158":-5,"_159":-5,"_160":161},"count","next","previous","results",[162],{"_87":39,"_88":89,"_90":91,"_92":93,"_94":95,"_96":163,"_45":128,"_129":89,"_130":28,"_131":51,"_52":132,"_133":134,"_135":118,"_136":128,"_137":61,"_138":17},[164,165,166,167],{"_99":100,"_90":101,"_102":103,"_104":105,"_106":107,"_108":109,"_110":103,"_111":-5,"_112":113,"_58":61,"_114":-5},{"_99":116,"_90":117,"_102":103,"_104":118,"_106":119,"_108":109,"_110":103,"_111":-5,"_112":93,"_58":61,"_114":-5},{"_99":121,"_90":122,"_102":103,"_104":123,"_106":107,"_108":121,"_110":103,"_111":-5,"_112":124,"_58":61,"_114":-5},{"_99":121,"_90":126,"_102":103,"_104":127,"_106":107,"_108":121,"_110":103,"_111":-5,"_112":124,"_58":61,"_114":-5},[],"canDeleteTags","actionData","errors"]

Digest	OS/ARCH	Compressed size
55f349227acc	linux/amd64	248.09 MB
ffa19befd2a9	linux/arm64	236.59 MB

jjhickman/tensorflow-lite

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