Metadata-Version: 2.1
Name: opentps-core
Version: 1.1.2
Summary: Open source TPS for advanced proton therapy
Home-page: http://opentps.org/
License: Apache-2.0
Author: Sylvain Deffet
Author-email: sylvaindeffet@gmail.com
Requires-Python: >=3.9,<3.10
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Requires-Dist: Pillow (>=9.4.0,<10.0.0)
Requires-Dist: SimpleITK (>=2.2.1,<3.0.0)
Requires-Dist: cachecontrol
Requires-Dist: numpy (>=1.23.5,<2.0.0)
Requires-Dist: pandas (>=1.5.3,<2.0.0)
Requires-Dist: pydicom (>=2.4.1,<3.0.0)
Requires-Dist: pymedphys (==0.39.3)
Requires-Dist: requests (==2.28.1)
Requires-Dist: scikit-image
Requires-Dist: setuptools (>=67.8.0,<68.0.0)
Requires-Dist: sparse-dot-mkl (>=0.8.3,<0.9.0)
Description-Content-Type: text/markdown

# opentps-core

Core library of opentps, a Python application for treatment planning in proton therapy, based on the MCsquare Monte Carlo dose engine.

## Installation (Linux):

Requirements are listed in pyproject.toml.
To install all required dependencies:

```
poetry install
```

Additional system libraries (Ubuntu 19 or more recent):

```
sudo apt install libmkl-rt
```

Additional system libraries (Ubuntu 18):

```
cd /tmp
wget https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS-2019.PUB
apt-key add GPG-PUB-KEY-INTEL-SW-PRODUCTS-2019.PUB
sudo sh -c 'echo deb https://apt.repos.intel.com/mkl all main > /etc/apt/sources.list.d/intel-mkl.list'
sudo apt-get update
sudo apt-get install intel-mkl-64bit-2020.1-102
echo 'export LD_LIBRARY_PATH=/opt/intel/mkl/lib/intel64:$LD_LIBRARY_PATH' | sudo tee -a /etc/profile.d/mkl_lib.sh

# adapted from: http://dirk.eddelbuettel.com/blog/2018/04/15/
```

Optional python modules:

```
pip3 install --user tensorflow
pip3 install --user keras
pip3 install --user cupy
```

## Installation (Windows):

Note: VTK is only compatible with Python version <= 3.9. Do not use Python 3.10

1. Install anaconda on your Windows computer

2. Open Anaconda Prompt (via the Anaconda application)

3. Create a new Anaconda environment:

```
conda create --name OpenTPS python=3.8
```

4. Activate the new environment:

```
conda activate OpenTPS
```

5. Install the following python modules:
   Python modules:

```
pip3 install --upgrade pip
pip3 install pydicom
pip3 install numpy
pip3 install scipy
pip3 install matplotlib
pip3 install Pillow
pip3 install sparse_dot_mkl
pip3 install SimpleITK
pip3 install pandas
pip3 install scikit-image
pip3 install pymedphys==0.39.3
pip3
```

Optional python modules:

```
pip3 install tensorflow
pip3 install keras
pip3 install cupy
```

