https://github.com/tito/experiment-tensorflow-lite
https://github.com/tito/experiment-tensorflow-lite
Last synced: over 1 year ago
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- Host: GitHub
- URL: https://github.com/tito/experiment-tensorflow-lite
- Owner: tito
- Created: 2020-10-04T18:16:24.000Z (almost 6 years ago)
- Default Branch: main
- Last Pushed: 2020-10-04T18:19:41.000Z (almost 6 years ago)
- Last Synced: 2025-04-18T00:55:24.913Z (over 1 year ago)
- Language: Python
- Size: 786 KB
- Stars: 26
- Watchers: 2
- Forks: 5
- Open Issues: 1
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Metadata Files:
- Readme: README.md
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README
# TensorFlow lite with Kivy
This is an experimental project, no support will be done.
Works only on Android for now.

It uses:
- Kivy android camera to grab RGBA pixels
- Pillow to convert the image to the tensor input format
- TensorFlow lite Android libraries to detect
This example is mostly based on the Image classification from TensorFlow
lite example repository.
## Create a model
- Train your model https://teachablemachine.withgoogle.com/
- Export as a Quantized model for TensorFlow lite
- Copy it into the app, ajust the paths.