In this assignment, you also need to hand in scripts showing tests of your functions on all the cases specified as well as the images and other answers requested. You will lose marks for insufficient or unclear comments. To get full marks, your functions (i.e., *.py or *.ipynb files) must not only work correctly, but also must be clearly documented with sufficient comments for others to easily use and understand the code. Hand in all parts of this assignment using Canvas (both the code and PDF file as specified). In regular Python you can use img.show() and in Jupyter you can use display(img). Recall that visualizing imagies in regular Python and in Jupyter differs a bit. HINT: Review Assignment 0 for the basics of reading/writing images, converting colour to greyscale, and converting PIL images to/from Numpy arrays.
If you are using Jupyter Notebook with Google Colab or on your personal machine, you will, in addition, would also want to import: For consistency (and to make life easier for the markers) you are required to import modules for this assignment exactly as follows:
There are different ways to import libraries/modules into Python. The purpose of this assignment is to get some initial experience with Python and to learn the basics of constructing and using linear filters. Assignment 1: Image Filtering and Hybrid Imagesĭue: At the end of the day 11:59pm, Wednsday, September 30th, 2020.
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