TFLite Model Maker: a model customization library for on-device applications.
Project description
TFLite Model Maker
Overview
The TFLite Model Maker library simplifies the process of adapting and converting a TensorFlow neural-network model to particular input data when deploying this model for on-device ML applications.
Requirements
- Refer to requirements.txt for dependent libraries that're needed to use the library and run the demo code.
Installation
There are two ways to install Model Maker.
- Install a prebuilt pip package.
pip install tflite-model-maker
If you want to install nightly version, please follow the command:
pip install tflite-model-maker-nightly
- Clone the source code from GitHub and install.
git clone https://github.com/tensorflow/examples
cd examples/tensorflow_examples/lite/model_maker/pip_package
pip install -e .
End-to-End Example
For instance, it could have an end-to-end image classification example that utilizes this library with just 4 lines of code, each of which representing one step of the overall process. For more detail, you could refer to Colab for image classification.
- Load input data specific to an on-device ML app.
data = ImageClassifierDataLoader.from_folder('flower_photos/')
- Customize the TensorFlow model.
model = image_classifier.create(data)
- Evaluate the model.
loss, accuracy = model.evaluate()
- Export to Tensorflow Lite model and label file in
export_dir.
model.export(export_dir='/tmp/')
Notebook
Currently, we support image classification, text classification and question answer tasks. Meanwhile, we provide demo code for each of them in demo folder.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for tflite-model-maker-nightly-0.2.1.dev202010062146.tar.gz
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 4f1269f2198faf2d7dbb9df371e3fa7274cb73439796214457fecf136d92880a |
|
| MD5 | 843b200461378b07f8a2b1b7263f68fe |
|
| BLAKE2b-256 | 3ea1604bf08fc78d425d80dc6575f024cef8aaed55035d900006374c3662a0e0 |
Hashes for tflite_model_maker_nightly-0.2.1.dev202010062146-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 0dcefcf8cc4e3c904f3a43754448b1b443e2ad989b77c0384dc8115a61a66e4c |
|
| MD5 | 9063e20961869c7db69ecfb1276fffe0 |
|
| BLAKE2b-256 | eacb31511357ab0c6a4a5b97ee2d9d18a81c312d30d6257a1c51c8a8e60ac5a5 |
