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