GEPARD - Gepard-Enabled PARticle Detection for Raman microscopes.
Copyright (C) 2018 Lars Bittrich and Josef Brandt, Leibniz-Institut für Polymerforschung Dresden e. V. firstname.lastname@example.org
- python >=3.6, PyQt5, OpenCV >=3.4.1, numpy >=1.14, scikit-image >=0.13.1, scipy >=1.1.0, win32com, pythoncom, cython 0.28
- we advise the use of Anaconda (python 3.7): https://www.anaconda.com/download
this package contains most of the python libraries
however, some required packages are missing.
Start anaconda prompt and install additional packages:
pip install opencv-python conda install scikit-image dill
- we recommend working with a 64bit OS and also a python interpreter compiled for 64bit as many use cases require a lot of memory (16 GB better 32 GB recommended)
- the tsp module in externalmodules can be built with
please note: for this step a valid compiler needs to be installed in the system; Otherwise use the precompiled tsp-module If you plan on using the WITec Raman interface to control your device, please note: You use this interface at your OWN RISK! Make sure, that no obstacles block the objective and that you UNDERSTAND and VALIDATE the code, that controls the microscope! Start with "witectesting.py", which should read and move within small margins.
At the moment the program is an executable python module. Copy the folder with all its content to some place and run just outside the path (e.g. using anaconda prompt):
python -m gepard
It is possible to create a windows link file, that executes python with the gepard script as an argument and the working directory pointing to the folder containing the gepard module for convenience.
The working principle is explained here