Computational Pathology Toolbox developed by TIA Lab
First, install
1.Create the virtual environment
conda env create -f requirements.conda.yml
or (on Windows)
conda env create -f requirements.win64.conda.yml
or
pip install -r requirements.txt
2.Clone the tiatoolbox
git clone https://github.com/TIA-Lab/tiatoolbox.git
3.Please try
python -m tiatoolbox -h
pip install tiatoolbox
conda env create -n tiatoolbox python=3.{6,7,8}
conda activate tiatoolbox
pip install tiatoolbox
usage: tiatoolbox [-h] [--version] [--verbose VERBOSE]
{read-bounds,
save-tiles,
slide_info,
slide-thumbnail,
stainnorm,
}
...
positional arguments:
{slide_info}
read-bounds usage: tiatoolbox read-bounds -h
save-tiles usage: tiatoolbox save-tiles -h
slide-info usage: tiatoolbox slide-info -h
slide-thumbnail usage: tiatoolbox slide-thumbnail -h
stainnorm usage: tiatoolbox stainnorm -h
optional arguments:
-h, --help show this help message and exit
--version show program`s version number and exit
--verbose VERBOSE
The source code TIA Toolbox (tiatoolbox) as hosted on GitHub is released under the GNU General Public License (Version 3).
The full text of the licence is included in LICENSE.md.
Auxiliary files, such as pre-trained model weights downloaded from the TIA Lab webpage (https://warwick.ac.uk/fac/sci/dcs/research/tia/tiatoolbox), are provided under the Creative Commons Attribution-NonCommercial-ShareAlike Version 4 (CC BY-NC-SA 4.0) license.
If you would like to use any of the source code or auxiliary files (e.g. pre-trained model weights) under a different license agreement please contact the Tissue Image Analytics (TIA) Lab at the University of Warwick ([email protected]).