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
- 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-0.1.2.dev202008101456.tar.gz
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 55265a31f64dbbd6c03a74d9c721c8a5680289d514896074fb94cbd16c02c9fa |
|
| MD5 | b3861cc39f87f43d09991e213370a621 |
|
| BLAKE2b-256 | 9b7324fc494c04149ae0128e63619e2c6f77557899ff16698c5b7d933f2f011c |
Hashes for tflite_model_maker_nightly-0.1.2.dev202008101456-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 380dfa18db2209f3834bdf5ca176fd1b5b39a2d93f0d39f255d485cf94836bb9 |
|
| MD5 | 56cf3620d82f301f7303242a5ece4313 |
|
| BLAKE2b-256 | 47a988b3448a08e07a23f8f1ffba51cafc173c9ff6606461ef8797d643fef211 |
