Introduction to CV is a course taught by professor Dr. Aaron Bobick, offered free online by Udacity
(https://www.udacity.com/course/introduction-to-computer-vision--ud810).

1. Octave code solutions to 'in the class' quizzes
2. Solution to all 7 problem sets + with all the extra credit problems solved
3. Problem set solution reports added as README under each problem set directory
4. Experimentation methods that helps understand the effect of parameters on certain algorithms (included in the ps_x.py files + observations added to ps_x/observations/ dir)
5. A generic helper class that contains tools to operate on images

1. Clone the repository

   git clone --recursive https://github.com/kalyan0510/Intro2CV.git
   cd Intro2CV/
   

2. Install the dependent libraries from requirements.txt prefer Python 3.9.5

   pip3 install -r requirements.txt
   

3. To run solutions of a problem set X, run the python file ./ps_X/ps_X.py (make sure the sub problem is not commented out)

   python3 ps_X/ps_X.py