Python code for CIPHER pre-processing.
This code is a work in progress
- The best way to use this code is by setting up a virtual environment and installing all the packages listed in
requirements.txt. You can set up a virtual environment like this:
python -m venv .venv
.venv/Scripts/activate
pip install -r requirements.txt
Alternatively, it is also possible to use a conda environment.
After the environment is set up and activated, you can launch jupyter to run the demo_cipher_inputs.ipynb notebook.
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You will need to install the Matlab python package by following the instructions here.
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Note that you must run this code with a version of Python 3 that is compatible with your version of Matlab, as shown here.
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Note that for now, MatFlow can only be used on up to Python 3.8.
-
The best way to use this code is by setting up a virtual environment and installing all the packages listed in
requirements.txt, plus the Matlab Python package. You can set up a virtual environment like this (make surepythonis a version of python that is compatible with your version of Matlab):
python -m venv .venv
.venv/Scripts/activate
pip install -r requirements.txt
Then follow the instructions linked above to install the Matlab Python package; make sure you do it within your new virtual environment.
Alternatively, it is also possible to use a conda environment.
After the environment is set up and activated, you can launch jupyter to run the demo_segmentation.ipynb notebook.