tflite-model-maker

v0.4.3

TFLite Model Maker: a model customization library for on-device applications. For more information about how to use this package see README

Latest version published 10 months ago

License: Apache-2.0

PyPI

GitHub

Package Health Score

74 / 100

security
Security review needed
popularity
Popular
maintenance
Sustainable
community
Active

Popularity

Popular

GitHub Stars: 7.96K
Forks: 7.4K
Contributors: 260

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package tflite-model-maker, we found that it has been starred 7,956 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Jan 23, 2024
Direct Vulnerabilities: 0
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0
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0
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0
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Indirect Vulnerabilities: 0
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0
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0
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License Risk: 0
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17
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0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

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Maintenance

Sustainable

Commit Frequency

Open Issues: 0
Open PR: 135
Last Release: 10 months ago
Last Commit: 8 days ago

Further analysis of the maintenance status of tflite-model-maker based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Sustainable.

We found that tflite-model-maker demonstrates a positive version release cadence with at least one new version released in the past 12 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: No
Contributors: 260
Funding: No

A good and healthy external contribution signal for tflite-model-maker project, which invites more than one hundred open source maintainers to collaborate on the repository.

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Package

Python Versions Compatibility: Unspecified

Age: 4 years
Latest Release: 10 months ago
Dependencies: 24 Direct / 115 Total
Versions: 18
Maintainers: 2
Wheels: OS Independent

Readme

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.
Note that you might also need to install sndfile for Audio tasks. On Debian/Ubuntu, you can do so by sudo apt-get install libsndfile1

Installation

There are two ways to install Model Maker.

Install a prebuilt pip package: tflite-model-maker.

pip install tflite-model-maker

If you want to install nightly version tflite-model-maker-nightly, 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 .

TensorFlow Lite Model Maker depends on TensorFlow pip package. For GPU support, please refer to TensorFlow's GPU guide or installation guide.

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.

Step 1. Import the required modules.

from tflite_model_maker import image_classifier
from tflite_model_maker.image_classifier import DataLoader

Step 2. Load input data specific to an on-device ML app.

data = DataLoader.from_folder('flower_photos/')

Step 3. Customize the TensorFlow model.

model = image_classifier.create(data)

Step 4. Evaluate the model.

loss, accuracy = model.evaluate()

Step 5. 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.

FAQs

What is tflite-model-maker?

TFLite Model Maker: a model customization library for on-device applications. Visit Snyk Advisor to see a full health score report for tflite-model-maker, including popularity, security, maintenance & community analysis.

Is tflite-model-maker popular?

The python package tflite-model-maker receives a total of 22,527 weekly downloads. As such, tflite-model-maker popularity was classified as a popular. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is tflite-model-maker well maintained?

We found indications that tflite-model-maker maintenance is sustainable demonstrating some project activity. We saw a total of 260 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is tflite-model-maker safe to use?

While scanning the latest version of tflite-model-maker, we found that a security review is needed. A total of 0 vulnerabilities or license issues were detected. See the full security scan results.

Last updated on 26 November-2024, at 03:54 (UTC).

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tflite-model-maker