#!/usr/bin/evn python

"""
CMSC733 Spring 2019: Classical and Deep Learning Approaches for
Geometric Computer Vision
Project1: MyAutoPano: Phase 1 Starter Code

Author(s): 
Chahat Deep Singh (chahat@terpmail.umd.edu) 
PhD Student in Computer Science,
University of Maryland, College Park

Nitin J. Sanket (nitinsan@terpmail.umd.edu)
PhD Candidate in Computer Science,
University of Maryland, College Park
"""

# Code starts here:

import numpy as np
import cv2
# Add any python libraries here



def main():
    # Add any Command Line arguments here
    # Parser = argparse.ArgumentParser()
    # Parser.add_argument('--NumFeatures', default=100, help='Number of best features to extract from each image, Default:100')
    
    # Args = Parser.parse_args()
    # NumFeatures = Args.NumFeatures

	"""
	Read a set of images for Panorama stitching
	"""
	
	"""
	Obtain Homography using Deep Learning Model (Supervised and Unsupervised)
	"""
	
	"""
	Image Warping + Blending
	Save Panorama output as mypano.png
	"""

    
if __name__ == '__main__':
    main()
 
