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@@ -351,7 +351,25 @@ it as good as possible because all occurrences are in the learning set.
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\subsection{Supporting Scripts}
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To be able to use the code efficiently, we wrote a number of scripts. This
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-section describes the purpose and usage of each script.
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+section describes the purpose and usage of each script. For each script it is
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+essential that you use the correct folder and subfolder naming scheme. The scheme
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+is as follows:
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+
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+\begin{enumerate}
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+
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+\item A main folder called 'images' placed in the current directory as the src folder.
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+\item In the images folder there have to be three folders. Images, Infos and LearningSet.
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+\item The Images and Infos folder contain subfolders which are numbered ($0001$ to possibly $9999$).
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+\item In each of the subfolders the data (i.e the images or xml files) can be placed.
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+And have to be named $00991_XXXXX.ext$, where XXXXX can be $00000 to 99999$.
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+\item For loops in the script currently only go up to 9 subfolders, with a maximum
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+of containing 100 images or xml files. These numbers have to be adjusted if the scripts
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+are being used, but with a bigger dataset.
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+\end{enumerate}
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+
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+It is ofcourse possible to use your own naming scheme. A search for the $filename$ variable will most
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+likely find the occurences where the naming scheme is implemented.
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+
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\subsection*{\texttt{create\_characters.py}}
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@@ -367,8 +385,16 @@ section describes the purpose and usage of each script.
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\subsection*{\texttt{generate\_learning\_set.py}}
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-
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-
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+Usage of this script could be minimal, since you only need to extract the letters carefully
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+and succesfully once. Then other scripts in this list can use the extracted images. Most
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+likely the other scripts will use caching to speed up the system to. But in short, the script will create images of a single character based on a given dataset
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+of license plate images and corresponding xml files. If the xml files give correct
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+locations of the characters they can be extracted. The workhorse of this script is
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+$plate = xml_to_LicensePlate(filename, save_character=1)$. Where save_character is
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+an optional variable. If set it will save the image in the LearningSet folder and
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+pick the correct subfolder based on the character value. So if the XML says a character
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+is an 'A' it will be placed in the 'A' folder. These folders will be created automatically
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+if they do not exist yet.
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\subsection*{\texttt{load\_learning\_set.py}}
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Fabien