{"id":20378158,"url":"https://github.com/adhiiisetiawan/optimization-edgetpu","last_synced_at":"2026-06-07T00:31:54.772Z","repository":{"id":213383031,"uuid":"734014185","full_name":"adhiiisetiawan/optimization-EdgeTPU","owner":"adhiiisetiawan","description":"This repository contains experiments optimization on EdgeTPU","archived":false,"fork":false,"pushed_at":"2023-12-20T17:28:07.000Z","size":6623,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-04T22:17:21.036Z","etag":null,"topics":["coral-tpu","edgetpu"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/adhiiisetiawan.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGES.md","contributing":"CONTRIBUTING.md","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}},"created_at":"2023-12-20T16:49:34.000Z","updated_at":"2023-12-20T17:22:10.000Z","dependencies_parsed_at":"2023-12-20T18:11:34.800Z","dependency_job_id":null,"html_url":"https://github.com/adhiiisetiawan/optimization-EdgeTPU","commit_stats":null,"previous_names":["adhiiisetiawan/optimization-edgetpu"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/adhiiisetiawan/optimization-EdgeTPU","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/adhiiisetiawan%2Foptimization-EdgeTPU","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/adhiiisetiawan%2Foptimization-EdgeTPU/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/adhiiisetiawan%2Foptimization-EdgeTPU/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/adhiiisetiawan%2Foptimization-EdgeTPU/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/adhiiisetiawan","download_url":"https://codeload.github.com/adhiiisetiawan/optimization-EdgeTPU/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/adhiiisetiawan%2Foptimization-EdgeTPU/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34005030,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-06T02:00:07.033Z","response_time":107,"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":["coral-tpu","edgetpu"],"created_at":"2024-11-15T01:48:26.236Z","updated_at":"2026-06-07T00:31:54.759Z","avatar_url":"https://github.com/adhiiisetiawan.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# EdgeTPU Optimization\n\nThis repository contains an easy-to-use Python API that helps you run inferences\nand perform on-device transfer learning with TensorFlow Lite models on\n[Coral devices](https://coral.ai/products/).\n\nTo install the prebuilt PyCoral library, see the instructions at\n[coral.ai/software/](https://coral.ai/software/#pycoral-api).\n\n**Note:** If you're on a Debian system, be sure to install this library from\napt-get and not from pip. Using `pip install` is not guaranteed compatible with\nthe other Coral libraries that you must install from apt-get. For details, see\n[coral.ai/software/](https://coral.ai/software/#debian-packages).\n\n## Documentation and examples\n\nTo learn more about how to use the PyCoral API, see our guide to [Run inference\non the Edge TPU with Python](https://coral.ai/docs/edgetpu/tflite-python/) and\ncheck out the [PyCoral API reference](https://coral.ai/docs/reference/py/).\n\nSeveral Python examples are available in the `examples/` directory. For\ninstructions, see the [examples README](\nhttps://github.com/google-coral/pycoral/tree/master/examples#pycoral-api-examples).\n\n\n## Compilation\n\nWhen building this library yourself, it's critical that you have\nversion-matching builds of\n[libcoral](https://github.com/google-coral/libcoral/tree/master) and\n[libedgetpu](https://github.com/google-coral/libedgetpu/tree/master)—notice\nthese are submodules of the pycoral repo, and they all share the same\n`TENSORFLOW_COMMIT` value. So just be sure if you change one, you must change\nthem all.\n\nFor complete details about how to build all these libraries, read\n[Build Coral for your platform](https://coral.ai/docs/notes/build-coral/).\nOr to build just this library, follow these steps:\n\n1.  Clone this repo and include submodules:\n\n    ```\n    git clone --recurse-submodules https://github.com/google-coral/pycoral\n    ```\n\n    If you already cloned without the submodules. You can add them with this:\n\n    ```\n    cd pycoral\n\n    git submodule init \u0026\u0026 git submodule update\n    ```\n\n1.  Run `scripts/build.sh` to build pybind11-based native layer for different\n    Linux architectures. Build is Docker-based, so you need to have it\n    installed.\n\n1.  Run `make wheel` to generate Python library wheel and then `pip3 install\n    $(ls dist/*.whl)` to install it\n\n\n**Note**: This repository is based on [Pycoral](https://github.com/google-coral/pycoral) from Google Coral","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fadhiiisetiawan%2Foptimization-edgetpu","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fadhiiisetiawan%2Foptimization-edgetpu","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fadhiiisetiawan%2Foptimization-edgetpu/lists"}