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1. Prepare Python environment
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Download Anaconda, Python 3.7 version from https://www.anaconda.com/download and follow the installer instructions. Anaconda includes most of the required python libraries, however some packages need to be installed manually. To do that, start an Anaconda prompt from the Start Menu (Windows) or open a terminal (Linux, MacOS) and type the following:
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```
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pip install opencv-python
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conda install scikit-image dill
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```
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2. Download Gepard
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Download the Gepard bundle from the repository at https://gitlab.ipfdd.de/GEPARD/gepard. Be careful to download the master branch, unless you know what you're doing:
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Extract all files into your preferred location. You should now have created a folder named `gepard-master`. Rename the folder to `gepard`.
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3. Build the tsp module
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The following step requires a C compiler. In the Anaconda prompt (Windows) or the terminal (Linux, MacOS), navigate to the gepard-subfolder named `external`. Then type:
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```
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python setuptsp.py
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```
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4. Start Gepard
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In the Anaconda prompt (Windows) or terminal (Linux, MacOS) navigate to the location containing the folder `gepard`. You can now start using Gepard in Simulated Raman Mode by typing:
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```
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python -m gepard
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``` |
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