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Epigos AI Python SDK

Project description

Epigos Python

Tests

Epigos provides an end-to-end platform to annotate data, train computer vision AI models, deploy them seamlessly and host the models via API's.

For more details, visit epigos.ai.

The Epigos Python Package is a python wrapper around the core Epigos AI web application and REST API.

Installation

To install this package, please use Python 3.9 or higher.

To add epigos to your project simply install with pip:

pip install epigos

Or with poetry

poetry add epigos

Getting Started

To make your first API call, you will need to signup at epigos.ai and create an API key for your workspace. Please contact our sales team for a demo.

Initialization:

import epigos

client = epigos.Epigos("api_key")

Prediction:

Make predictions with any of the models deployed in your workspace using the Model ID.

Classification

import epigos

client = epigos.Epigos("api_key")

# load classification model
model = client.classification("model_id")

# make predictions
results = model.predict("path/to/your/image.jpg")
print(results.dict())

Object detection

import epigos

client = epigos.Epigos("api_key")

# load object detection model
model = client.object_detection("model_id")

# make predictions
results = model.detect("path/to/your/image.jpg")
print(results.dict())
# visualize detections
results.show()

Contributing

If you want to extend our Python library or if you find a bug, please open a PR!

Also be sure to test your code with the make command at the root level directory.

Run tests:

make test

Commit message guidelines

It’s important to write sensible commit messages to help the team move faster.

Please follow the commit guidelines

Versioning

This project uses Semantic Versioning.

Publishing

This project is published on PyPi

License

This library is released under the MIT License.

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