Metadata-Version: 2.1
Name: histomics_stream
Version: 1.1.0
Summary: Whole-slide image streamer for TensorFlow.
Home-page: https://github.com/DigitalSlideArchive/histomics_stream
Author: Lee Newberg
Author-email: lee.newberg@kitware.com
Description-Content-Type: text/markdown
Classifier: License :: OSI Approved :: Apache Software License
Requires-Dist: fsspec
Requires-Dist: h5py
Requires-Dist: imagecodecs
Requires-Dist: itk
Requires-Dist: napari-lazy-openslide
Requires-Dist: numcodecs
Requires-Dist: numpy
Requires-Dist: openslide-python
Requires-Dist: Pillow
Requires-Dist: tensorflow-gpu
Requires-Dist: tifffile
Requires-Dist: zarr

# histomics_stream

Through version 1.0.6, this project was known as tensorflow_reader.

## Overview

The goal of this project is to create a whole-slide image file reader for 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](https://img.shields.io/pypi/v/histomics_stream.svg)](https://pypi.python.org/pypi/histomics_stream)

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)](https://docs.python.org/3/tutorial/venv.html) to work in.  Then, run the following from the command-line:

```shell-script
pip install histomics_stream
```

Launch `python3`, import the histomics_stream package, and use it

```python
import histomics_stream as hs
```

