Update Overview authored by Josef Brandt's avatar Josef Brandt
GEPARD - Gepard-Enabled PARticle Detection for Raman microscopes. **GEPARD - Gepard-Enabled PARticle Detection for Raman microscopes.**
Copyright (C) 2018 Lars Bittrich and Josef Brandt, Leibniz-Institut für Copyright (C) 2018 Lars Bittrich and Josef Brandt, Leibniz-Institut für
Polymerforschung Dresden e. V. [bittrich-lars@ipfdd.de](mailto:bittrich-lars@ipfdd.de) Polymerforschung Dresden e. V. [bittrich-lars@ipfdd.de](mailto:bittrich-lars@ipfdd.de)
Requirements: **Requirements:**
- python 3.6, PyQt5, OpenCV 3.4.1, numpy 1.14, scikit-image 0.13.1, scipy 1.1.0, - 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 win32com, pythoncom, cython 0.28
...@@ -33,3 +33,8 @@ python gepard.py ...@@ -33,3 +33,8 @@ python gepard.py
It is possible to create a windows link file, that executes python with the 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 gepard script as an argument and the working directory pointing to the folder
containing gepard for convenience. containing gepard for convenience.
**Working Principle**
The working principle is explained [here](Working principle)
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