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authorPrabhu Ramachandran2018-05-15 22:05:02 +0530
committerPrabhu Ramachandran2018-05-15 22:05:02 +0530
commit67a937d9e41983c4cc39eddf4e2183125a8554c9 (patch)
tree0b98b7a3d928d2dd89c1f28d023e4da19be8a8f1 /scipy/basic/07_more_numpy.tex
parent9132e564c5f28f1b10d66d8323ad765f9d914231 (diff)
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Remove references to lena and use image of penguins.
Diffstat (limited to 'scipy/basic/07_more_numpy.tex')
-rw-r--r--scipy/basic/07_more_numpy.tex18
1 files changed, 9 insertions, 9 deletions
diff --git a/scipy/basic/07_more_numpy.tex b/scipy/basic/07_more_numpy.tex
index c53cc41..3d4310d 100644
--- a/scipy/basic/07_more_numpy.tex
+++ b/scipy/basic/07_more_numpy.tex
@@ -302,13 +302,13 @@ Out[]: (3, 3)
\frametitle{Elementary image processing}
\begin{small}
\begin{lstlisting}
-In []: a = imread('lena.png')
+In []: a = imread('penguins.png')
In []: imshow(a)
-Out[]: <matplotlib.image.AxesImage object at 0xa0384cc>
+Out[]: <matplotlib.image.AxesImage object at ...>
\end{lstlisting}
\end{small}
-\typ{imread} returns an array of shape (512, 512, 4) which represents an image of 512x512 pixels and 4 shades.\\
+\typ{imread} returns an array of shape (370, 370, 4) which represents an image of 370x370 pixels and 4 shades.\\
\typ{imshow} renders the array as an image.
\end{frame}
@@ -316,7 +316,7 @@ Out[]: <matplotlib.image.AxesImage object at 0xa0384cc>
\frametitle{Slicing \& Striding Exercises}
\begin{itemize}
\item Crop the image to get the top-left quarter
- \item Crop the image to get only the face
+ \item Crop the image to get only the face of the baby penguin
\item Resize image to half by dropping alternate pixels
\end{itemize}
@@ -325,14 +325,14 @@ Out[]: <matplotlib.image.AxesImage object at 0xa0384cc>
\frametitle{Solutions}
\begin{small}
\begin{lstlisting}
-In []: imshow(a[:256,:256])
-Out[]: <matplotlib.image.AxesImage object at 0xb6f658c>
+In []: imshow(a[:185,:185])
+Out[]: <matplotlib.image.AxesImage object at ...>
-In []: imshow(a[200:400,200:400])
-Out[]: <matplotlib.image.AxesImage object at 0xb757c2c>
+In []: imshow(a[225:300,150:250])
+Out[]: <matplotlib.image.AxesImage object at ...>
In []: imshow(a[::2,::2])
-Out[]: <matplotlib.image.AxesImage object at 0xb765c8c>
+Out[]: <matplotlib.image.AxesImage object at ...>
\end{lstlisting}
\end{small}
\inctime{15}