Skip to main content

Whole-slide image streamer for TensorFlow.

Project description

histomics_stream

Overview

The goal of this project is to create a whole-slide image file reader for machine learning with TensorFlow. This reader will allow users to extract pixel data from whole-slide image formats, and will support reading paradigms that are commonly used during training and inference.

Installation for Python

PyPI Version Open In CoLab

histomics_stream can be easily installed with Python wheels. If you do not want the installation to be to your current Python environment, you should first create and activate a Python virtual environment (venv) to work in. Then, run the following from the command line:

pip uninstall -y large_image tensorflow histomics_stream
pip install 'large_image[all]' --find-links https://girder.github.io/large_image_wheels
pip install histomics_stream

Launch python3, import the histomics_stream package, and use it

import histomics_stream as hs

This has been tested with tensorflow:2.6.2-gpu.

History

Through version 1.0.6, this project was known as tensorflow_reader.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

histomics_stream-2.1.2.tar.gz (23.2 kB view hashes)

Uploaded Source

Built Distribution

histomics_stream-2.1.2-py2.py3-none-any.whl (15.2 kB view hashes)

Uploaded Python 2 Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page