@@ -356,19 +356,23 @@ essential that you use the correct folder and subfolder naming scheme. The schem
is as follows:
\begin{enumerate}
\item A main folder called 'images' placed in the current directory as the src folder.
\item In the images folder there have to be three folders. Images, Infos and LearningSet.
\item The Images and Infos folder contain subfolders which are numbered ($0001$ to possibly $9999$).
\item In each of the subfolders the data (i.e the images or xml files) can be placed.
And have to be named $00991_XXXXX.ext$, where XXXXX can be $00000 to 99999$.
\item For loops in the script currently only go up to 9 subfolders, with a maximum
of containing 100 images or xml files. These numbers have to be adjusted if the scripts
are being used, but with a bigger dataset.
\item A main folder called `images' placed in the current directory as the
src folder.
\item In the images folder there have to be three folders. Images, Infos
and LearningSet.
\item The Images and Infos folder contain subfolders which are numbered
($0001$ to possibly $9999$).
\item In each of the subfolders the data (i.e the images or xml files) can
be placed. And have to be named $00991_XXXXX.ext$, where XXXXX can be
$00000 to 99999$.
\item For-loops in the script currently only go up to 9 subfolders, with a
maximum of containing 100 images or xml files. These numbers have to be
adjusted if the scripts are being used, but with a bigger dataset.
\end{enumerate}
It is ofcourse possible to use your own naming scheme. A search for the $filename$ variable will most
likely find the occurences where the naming scheme is implemented.
It is of course possible to use your own naming scheme. A search for the
$filename$ variable will most likely find the occurences where the naming
scheme is implemented.
\subsection*{\texttt{create\_characters.py}}
...
...
@@ -385,16 +389,19 @@ likely find the occurences where the naming scheme is implemented.
\subsection*{\texttt{generate\_learning\_set.py}}
Usage of this script could be minimal, since you only need to extract the letters carefully
and succesfully once. Then other scripts in this list can use the extracted images. Most
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
of license plate images and corresponding xml files. If the xml files give correct
locations of the characters they can be extracted. The workhorse of this script is
$plate = xml_to_LicensePlate(filename, save_character=1)$. Where save_character is
an optional variable. If set it will save the image in the LearningSet folder and
pick the correct subfolder based on the character value. So if the XML says a character
is an 'A' it will be placed in the 'A' folder. These folders will be created automatically
if they do not exist yet.
Usage of this script could be minimal, since you only need to extract the
letters carefully and succesfully once. Then other scripts in this list can use
the extracted images. Most 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 of license plate images and corresponding
xml files. If the xml files give correct locations of the characters they can
be extracted. The workhorse of this script is $plate =
xml_to_LicensePlate(filename, save_character=1)$. Where
\texttt{save\_character} is an optional variable. If set it will save the image
in the LearningSet folder and pick the correct subfolder based on the character
value. So if the XML says a character is an 'A' it will be placed in the 'A'
folder. These folders will be created automatically if they do not exist yet.
