block1.python

'''
It runs the entire code and returns final results
'''
from pyCAIR import user_input
user_input(alignment, scale, seam, input_image, generate_sequences)

'''
It generates the energy map
'''
from pyCAIR import generateEnergyMap
generateEnergyMap(image_name, file_extension, file_name)

'''
It generates color maps
'''
from pyCAIR import generateColorMap
generateColorMap(image_name, file_extension, file_name)

'''
It converts sequence of images generated to video
'''
from pyCAIR import generateVideo
generateVideo()

'''
It returns all the paths where images are present for generating video
'''
from pyCAIR import getToProcessPaths
getToProcessPaths()

'''
It returns seams, cropped image for an image
'''
from pyCAIR import cropByColumn
seam_img, crop_img = cropByColumn(image, display_seams, generate, lsit, scale_c, fromRow)

'''
It returns seams, cropped image for an image
'''
from pyCAIR import cropByRow
seam_img, crop_img = cropByRow(image, display_seams, generate, lsit, scale_c)

'''
It returns created folder
'''
from pyCAIR import createFolder
f = createFolder(folder_name)

'''
It returns extension of file
'''
from pyCAIR import getFileExtension
f = getFileExtension(file_name)

'''
It writes image to specified folder
'''
from pyCAIR import writeImage
f = writeImage(image, args)