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Ready for shipping. README ok
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@@ -15,7 +15,49 @@ Due to its general implementation, FaceMovie may be used for faces, but also pro
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## Getting started
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There are several ways to use Facemovie :
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There are several ways you can choose from to run Facemovie, each being developed below.
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Please not that you best pick as this stage would be to choose the executable.
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### Windows executable (Default)
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This is the current safest and easiest solution for you.
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Download the archive available [here](). By default, choose the full archive.
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The light archive is intended for users having Python2.7 already installed on their system.
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Uncompress the archive. It contains three elements :
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- The executable itself, called Facemovifier.exe.
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- A folder called haar_cascades. It contains files used by the executable. Leave it in the same location as the executable by default.
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- This README
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In order to check that everything is ready, open a command line in at the executable location and run the Facemovie helper :
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```
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$ cd my\installation\folder
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$ Facemoviefier.exe -h
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```
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You are now ready to use the Facemovie !
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### Github
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You can also simply clone the project from Github and use it as you wish.
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```
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git clone git://github.com/jlengrand/FaceMovie.git
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```
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This is a very good solution if you already have Python2.7 and OpenCV installed on your system (see requirements chapter).
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To check the code, simply open a command line and try to run the Facemovifier :
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```
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$ cd my\cloned\folder
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$ python facemovie\Facemoviefier.py -h
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```
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Scripts are available for Windows and Linux (called __run.sh__ and __run_windows.sh__) in order to help you run Facemovie.
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- Download a single executable [here](). Choose the file corresponding to your architecture, unzip the archive and you're done !
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- Depending on your setup, you can choose installers including the Python interpreter or not.
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- The executable ships with a folder called haar__cascades and containing elements needed for the recognition phaze of the algorithm.
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