Our query images will come from a web search. Before we start implementing the search functionality, let's write some helper functions, which let us fetch images via the Requests library and convert them to an OpenCV-compatible format. Because this functionality is highly reusable, we will put it in a module of static utility functions. Let's create a file called RequestsUtils.py and import OpenCV, NumPy, and Requests, as follows:

import numpy
import cv2
import requests
import sys

As a global variable, let's store HEADERS, a dictionary of headers that we will use while making web requests. Some servers reject requests that appear to come from a bot. To improve the chance of our requests being accepted, let's set the 'User-Agent' header to a value that mimics a web browser, as follows:

# Spoof a browser's User-Agent string.
# Otherwise, some sites will reject us as a bot.
HEADERS = {
  'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.9; ' + \
    'rv:25...