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GEPARD - Gepard-Enabled PARticle Detection for Raman microscopes.

Requirements:

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  
    `python setuptsp.py`
    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 script. Copy the folder with
all its content to some place and run (e.g. using anaconda prompt):
python gepard.py

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 gepard for convenience.


Working Principle
=================

The working principle is explained [here](Working principle)