Instructions for Assignment 7: Project Progress Reports

(a) Project Progress Report

• Section 1: The overall goals of the project (a paragraph, or a bulleted list)
• Section 2: The intermediate goals you have achieved so far, e.g., (a) setting up your data sets, design, (b) implementation, and testing of feature extraction code, (c) running classification/detection experiments, and so on. You should have about 2 to 5 intermediate goals.  For each of the intermediate goals write a short subsection (2.1, 2.2, etc) that includes:
  • a brief definition of what you have actually done with respect to this goal,e.g., what you have implemented in code for this goal, described by using some text with a high-level pseudocode or flowchart description.  You can refer to specific names of your ".m" functions that you include in your submitted code in Part (b). Be sure to indicate which functions you have written and which you obtained from elsewhere.
    
• preliminary results if available (e.g., some images with examples of features found, or preliminary classification results). If there are no preliminary results you can demonstrate, explain why. Please use example images to illustrate progress if you can.
  
• the status in terms of completion of this goal (e.g., "this code has been written but not fully debugged or tested yet").
• a list of any difficulties that you have encountered so far or anticipate encountering
•  Section 3: A brief section (a few lines or bulleted list) describing what remains to be done on the project (coding, testing, documentation, extended task, etc) and any difficulties that you anticipate in getting the project finished.

(b) Project Demo Script

data = load sampleimages
templates = load templates
[features labels] = feature_extract(data, templates);
plot_features(features,labels,feature1, feature2);  % function to plot the feature values for feature 1 and feature 2 (x-y plot, colored according to the labels)
OR
display_features(data.images, features)  % function that shows the original images and also visually displays (somehow) the extracted features for each image

This is just a simple example. There are lots of different possibilities for a sample script, so feel free to be creative! The main thing is that you illustrate some aspect of the work you have done so far and that the plots/displays provide an indication of progress.

The scipt should not take any longer than 1 minute to run. (so if it involves a learning algorithm you may want to include your learning algorithm code in what you hand in, but run it beforehand, save the results, and just run the learned classifier in your demo script). The script need not illustrate all the work you have done so far, but it should illustrate at least one of the goals that you wrote about in the progress report, e.g., the extraction and visual display of some feature of interest.

Your script should print comments to the screen to explain what your script is doing and it should put titles, labels, etc., on any plots produced.

IMPORTANT NOTE: please make sure that this script runs in a stand-alone mode and that it includes all functions needed (that are not part of the standard MATLAB package), and all data needed, in a single directory. So you need (for example) to include any "support" functions you have written and any functions that you are using that were written by someone else (e.g., functions that I provided from earlier assignments). Be sure to indicate at the top of each function whether you wrote it or not.

What to Turn In

• Your project progress report  in WORD or PDF format, called progress.doc or progress.pdf, uploaded to EEE Progress Report directory.
  
  
• Upload a Zip file with all the code and data needed to run your script to the EEE  Progress Report directory. The Zip file should contain a single directory with your MATLAB demo script, called progress.m, as well as all image and data files, and other MATLAB functions, that are needed to run it. Please do not upload a Zip file that is greater than 10 Mbytes in size (your whole submitted directory should not exceed 10 Mbytes, including data, functions, etc, after compression into a Zip file), e.g., just use a few images for illustration, rather than uploading the full set.