Build Instructions

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  Step 1

  Install requirements for python and query CNN code

  sudo apt-get install python python-pycurl python-lxml python-pip
  sudo pip install grab
  sudo apt-get install apache2
  mkdir -p /dev/shm/images
  sudo ln -s /dev/shm/images /var/www/images
  Then you must forward your router from port 5005 to port 80 on the Pi
  run test.sh

  How does this work

  First we use raspistill to take an image and save it to memory as /dev/shm/images/test.jpg. Since this is symlinked in /var/www, we should be able to see it at http://YOUR-EXTERNAL-IP:5005/images/test.jpg.
  Then we use grab to qull up the Caffe demo framework with our image and get the classification results. This is done in queryCNN.py which gets the results.

  The output of ./test.sh should look something like this:

  pi@raspberrypi ~/CaffeCNNQuery $ ./test.sh projector device equipment optical instrument electronic equipment 

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