Computer Vision Preseason Project

Project Guidelines

Create a fully polished and shippable program that utilizes image processing techniques to calculate distance, azimuth, and altitude of a plus shape (+) target. Program must be written in Python 3 and use OpenCV, NumPy, and other relevant libraries for processing.

Grading Rubric

Functionality (50%) and Style (50%)

	Poor	Adequate	Excellent
Detection (30%)	(10%) Unable to detect target	(20%) Able to detect target sporadically	(30%) Able to detect target consistently
Analysis (20%)	(5%) Calculate with 50% accuracy	(15%) Calculate with 20% accuracy	(20%) Calculate with 5% accuracy
Structure (20%)	(5%) Incorrect structure		(20%) Proper structure
Naming Convention (15%)	(0%) No naming convention	(10%) Intelligible, but inconsistent, naming convention	(15%) Coherent, consistent naming convention
Documentation (15%)	(0%) Missing documentation	(10%) Minimal documentation for all functions, variables, and calculations	(15%) Comprehensive documentation for all functions, variables, and calculations

Program Structure

Main.py
   Run entire program

Target.py
   Hold attributes of target contour
   Functions:
    → __init__
    → getHeight
    → getWidth
    → getCenter

TargetDetector.py
   Process image for target contour
   Functions:
    → __init__
    → threshold
    → contours
    → filterContours
    → getContour

TargetProcessor.py
   Calculate distance, azimuth, and altitude
   Functions:
    → __init__
    → calculate
    → getDistance
    → getAzimuth
    → getAltitude

Submission Guidelines

Pull request naming convention:

<Last>.<First>

Remove all extra, unnecessary files before submitting a pull request.