Installation¶
Packaged installation¶
Download¶
You can download the latest version of ORIGAMI-ANALYSE from GitHub.
Getting Started¶
Actually, there is no actual installation! Simply copy the zipped folder onto your machine, unpack it and that's it! To start ORIGAMI-ANALYSE, double-click on the ORIGAMI.exe file.
Requirements¶
Requirements: Windows 7/8/10
HDD space: ~1 Gb
Optional: Waters Driftscope (v2.7+)
Troubleshooting¶
If, when you double-click on ORIGAMI.exe and a command window pops-up for a fraction of a second, you might want to try running it from the command line. The easiest way to do it is to follow these steps.
- Go to the unzipped ORIGAMI directory
- In the Windows Explorer, click on the address bar and type cmd. This will bring up a Windows command window where you can log issues associated with ORIGAMI.exe
- In the command window type in ORIGAMI.exe
-
If its working, a new window should appear and if its not, you will see some error messages
-
PyInstallerImportError
A number of Windows 10 users have reported issues opening ORIGAMI.exe. It typically comes with this message:
PyInstallerImportError: Failed to load dynlib/dll 'C:\\Users\\USER\\ORIGAM~1.4\\ORIGAM~1.4\\MassLynxRaw.dll'. Most probably this dynlib/dll was not found when the application was frozen.
[3428] Failed to execute script ORIGAMI
This problem is caused by a missing C++ library and can be easily solved by installing Visual C++ 2010 Redistributable Package
From source¶
Download¶
You can clone/copy the GitHub directory and only looking at the contents of ORIGAMI_ANALYSE/origami
Requirements¶
Windows 7/8/10 Python 2.7 WxPython==3.0.2 List of dependancies Optional: Waters Driftscope (v2.7+)
Recomendations¶
You are best of using conda or python environments to keep your Python installation nice and tidy. In order to create a conda environment, open a command window and type-in
conda create -n origami
To activate this environment, type-in
activate origami
To run ORIGAMI from source, type-in
python origami.py
If you have installed all dependancies, you should be good! :)