https://github.com/joshuacwnewton/onnx-to-tflite

Converting the ONNX model representation to the TensorFlow Lite representation.
https://github.com/joshuacwnewton/onnx-to-tflite

deep-learning machine-learning matlab neural-network onnx onnx-tf tensorflow tensorflow-examples tensorflow-lite tensorflow-tutorials tflite

Last synced: about 1 month ago
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Converting the ONNX model representation to the TensorFlow Lite representation.

• Host: GitHub
• URL: https://github.com/joshuacwnewton/onnx-to-tflite
• Owner: joshuacwnewton
• Created: 2020-07-25T16:48:39.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2020-12-23T13:56:46.000Z (almost 4 years ago)
• Last Synced: 2024-10-10T09:01:03.559Z (about 1 month ago)
• Topics: deep-learning, machine-learning, matlab, neural-network, onnx, onnx-tf, tensorflow, tensorflow-examples, tensorflow-lite, tensorflow-tutorials, tflite
• Language: Jupyter Notebook
• Homepage: https://colab.research.google.com/github/joshuacwnewton/ONNX-to-TFLite/blob/master/onnx_to_tflite.ipynb
• Size: 23.4 MB
• Stars: 34
• Watchers: 2
• Forks: 4
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

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README

        
## ONNX to TFLite Conversion

ONNX is an open format built to represent machine learning models. This notebook demonstrates the conversion process from an **ONNX** model _(exported from MATLAB)_ to a **tflite** model _(to be used within TensorFlow Lite, on an Android or iOS device.)_ In addition to conversion, this notebook contains cells for running inference using a set of test images to validate that predictions remain consistent across converted models.

> **Note:** TensorFlow's API is constantly evolving. This notebook was written in November of 2019, during the transition period from TF 1.X to TF 2.X, so it is likely that relevant APIs will have updated since.