# EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi

<https://repo.masters-masters.com/repos/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi>

[Accueil](https://repo.masters-masters.com/) › [EdjeElectronics](https://repo.masters-masters.com/owners/EdjeElectronics) › [TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi](https://repo.masters-masters.com/repos/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi)

EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi, dépôt open source à 1 593 étoiles sur GitHub. Carte Bêta de RepoMasters.

| Champ | Valeur |
| --- | --- |
| Propriétaire | [EdjeElectronics](https://repo.masters-masters.com/owners/EdjeElectronics) |
| Étoiles | 1 593 |
| Forks | 692 |
| Langage | [Jupyter Notebook](https://repo.masters-masters.com/languages/jupyter-notebook) |
| Licence | Apache-2.0 |
| Création | 2019 |
| Rang | [Bêta (700 à 1 999 ★)](https://repo.masters-masters.com/ranks/box_office) |
| Voir sur GitHub | [EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi](https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi) |

## Fiche du dépôt

A tutorial showing how to train, convert, and run TensorFlow Lite object detection models on Android devices, the Raspberry Pi, and more\!

Rang des dépôts qui ont 700 à 1 999 ★ sur GitHub. Probabilité publiée par carte tirée : 6 %. Rareté : Rare.

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Données : GitHub · Illustration dessinée par RepoMasters à partir de l’identifiant du dépôt et de la couleur de son langage.