This document provides instructions for filling in missing functions in an averageImage.py template program to average regions of an image and set pixel values within a region. Specifically, it describes two functions - average(region) which takes a region and returns the average red, green, and blue values, and setRegion(region, r,g,b) which takes a region and RGB values to set all pixels in the region. It notes the functions are part of a program that averages smaller regions of an image until the scene is clear.

1. python
Using the template program, averageImage.py, available on the CSci 127 repo on GitHub, fill in
the missing functions: average(region) : Takes a region of an image and returns the average red,
green, and blue values across the region. Reading: Think CS: Chapter 6 and Section 8.10 & Lab
8 setRegion (region, r,g,b ): Takes a region of an image and red, green, and blue values, r,g, b.
Sets the region so that all points have red values of r, green values of g, and blue values of b. The
functions are part of a program that averages smaller and smaller regions of an image until the
underlying scene is visible (inspired by the elegant koalas to the max). For example, if you
inputted our favorite image, you would see (left to right): and finally: The grading script does not
run the whole program, but instead runs each of your functions separately ('unit tests') to
determine correctness. As such, the names of the functions must match exactly the ones listed
above (else, the scripts cannot find them).