ELEC4630 Image Processing and Computer Vision Assignment 2

1.   You have been provided with a Jupyter notebook for fingerprint recognition available from https://github.com/lovellbrian/fingerprint .       Design   a    GUI   and   template file/database which allows you to:

a.   Enrol  a  fingerprint  and  associate  a  name.  Store the template  in  a  file or database

b.   Compare a new fingerprint to the fingerprints in the gallery

c.   Evaluate your system on a large number of  fingerprints  and adjust the threshold for good performance with low error rates

d.   Produce a ROC curve showing error rates versus threshold

e.   Estimate the false positive rate (false alarm rate) for a false negative rate of 1%.

You can fetch additional prints from http://bias.csr.unibo.it/fvc2000/download.asp.  (8 Marks)

2.   One way to improve your learning is to blog about what you have learned and how you have solved problems. It is also an excellent way to explore git and Github. Create your own blog on GitHub to document your progress and what you have learned about AI from the fastai course. Use Github Pages to create your free blog.

Here are the instructions https://www.fast.ai/posts/2020-01-16-fast_template.html.

Please provide a link to your blog site and some sample posts to show that you have created your own personal blog site. Here is my example blog based on this template.

https://lovellbrian.github.io

In your report, you should show some example pages from your blog and any tricks you have used for formatting.  (5 marks)

3.    This question is a brief exploration of running a Deep Learning notebook using a GPU  or CPU.  As far as I know, this is the first time this Development Container method has been used for teaching.  It has taken me about 6 months to get this set up, so I hope you enjoy it.  This task is mostly an exercise in getting your own devcontainer up and running on our 78-336 Lab machines and possibly also on your home machine or laptop. It is a hands-on exercise. Tutors will help you, so ask them for assistance.

Get your machine set up for containers following my AI blog post at:

https://lovellbrian.github.io/2023/10/02/BYODImage.html

Follow my blog instructions to first set up a CPU learning environment and then change this to a GPU deep learning environment running on Linux Ubuntu 22.04.  Time the learning loop in the notebook using the CPU and you will find this often takes many minutes.  Then we will try it using the GPU which will take seconds

For this exercise, figure out how to change the batch size in fastai. Google is your friend.  The default value is 64.