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
Two alternative methods to install Model Maker library with its dependencies.
- Install directly.
pip install git+https://github.com/tensorflow/examples.git#egg=tensorflow-examples[model_maker]
- Clone the repo from the HEAD, and then install with pip.
git clone https://github.com/tensorflow/examples
cd examples
pip install .[model_maker]
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 and text classification tasks and provide demo code and colab for each of them in demo folder.
Project details
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-0.1.0.dev202007291556.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 560d6c3e4ed0b544fc2b89d366c4697f84f15f3f0db381ec390bf1d8af29fe97 |
|
MD5 | 46b13904b9656b1834c4e38b928c5511 |
|
BLAKE2b-256 | 604aa67819bf9b206acac98c597e3d70f7f56a9f705c9b48a26f174c5d2a7d58 |
Hashes for tflite_model_maker_nightly-0.1.0.dev202007291556-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6db2fb0d1c4a6b7a0ff81aa9e0781c8fbbc6fe7ac2728410113d85b83072f3d5 |
|
MD5 | d5de3dc7dbdcbbdbd6e9b7651094a3eb |
|
BLAKE2b-256 | 545c9bc5199b4313da34559dbce6dabdb0d00a40492b5c080948a74aa988ba4e |