Learning Data Mining with Python

Classifying Objects in Images Using Deep Learning
Our system is nearly set up. We need to install scikit-learn and scikit-image, as well
as matplotlib. We can do all of this using pip3. As a dependency on these, we need
the scipy and matplotlib packages as well, which aren't currently installed on this
machine. I recommend using scipy and matplotlib from apt-get rather than pip3,
as it can be painful in some cases to install it using pip3:
sudo apt-get install python3-scipy python3-matplotlib
sudo pip3 install scikit-learn scikit-image
Next, we need to get our code onto the machine. There are many ways to get this file
onto your computer, but one of the easiest is to just copy-and-paste the contents.
To start with, open the IPython Notebook we used before (on your computer, not
on the Amazon Virtual Machine). On the Notebook itself is a menu. Click on File
and then Download as. Select Python and save it to your computer. This procedure
downloads the code in the IPython Notebook as a python script that you can run
from the command line.
Open this file (on some systems, you may need to right-click and open with a
text editor). Select all of the contents and copy them to your clipboard.
On the Amazon Virtual Machine, move to the home directory and open nano
with a new filename:
cd ~/
nano chapter11script.py
The nano program will open, which is a command-line text editor.
With this program open, paste the contents of your clipboard into this file.
On some systems, you may need to use a file option of the ssh program,
rather than pressing Ctrl + V to paste.
In nano, press Ctrl + O to save the file on the disk and then Ctrl + X to exit the
program.
You'll also need the font file. The easiest way to do this is to download it again from
the original location. To do this, enter the following:
wget http://openfontlibrary.org/assets/downloads/bretan/680bc56bbeeca9535
3ede363a3744fdf/bretan.zip
sudo apt-get install unzip
unzip -p bretan.zip Coval.otf > Coval.otf
[ 262 ]