Metadata-Version: 2.1
Name: tily
Version: 0.0.4
Summary: Tumor-infiltrating lymphocytes prediction based on Whole Slide Imaging.
Home-page: https://github.com/kandabarau/wsi-til
Author: Sergey Kandabarau
Author-email: kandabarau@gmail.com
License: BSD
Platform: UNKNOWN
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Requires-Python: >=3.7.4, <=3.7.12
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License-File: LICENSE
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# wsi_til
[![pylint](https://github.com/kandabarau/wsi_til/actions/workflows/lint.yml/badge.svg)](https://github.com/kandabarau/wsi_til/actions/workflows/lint.yml)
[![release](https://github.com/kandabarau/wsi_til/actions/workflows/release.yml/badge.svg)](https://github.com/kandabarau/wsi_til/actions/workflows/release.yml)
<!-- [![build](https://github.com/kandabarau/wsi_til/actions/workflows/build.yml/badge.svg)](https://github.com/kandabarau/wsi_til/actions/workflows/build.yml) -->

Tumor-infiltrating lymphocytes prediction based on Whole Slide Imaging.

## Installation

The tools uses Tensorflow v.1 and thats why requires Python 3.7
to be installed. If you have Python below 3.7.12 already installed
please simply run:

```
pip install tily
```

If you also need to install Python 3.7 please run the following:

```
sudo make install
python3.7 -m pip install tily
```

## Usage

To start the validation run the following:

```bash
tily --input_tiff=<PATH TO TIF\SVS file>
```


