# MIT License

#

# Copyright (c) 2019 Amin Aghaee

#

# Permission is hereby granted, free of charge, to any person obtaining a copy

# of this software and associated documentation files (the "Software"), to deal

# in the Software without restriction, including without limitation the rights

# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell

# copies of the Software, and to permit persons to whom the Software is

# furnished to do so, subject to the following conditions:

#

# The above copyright notice and this permission notice shall be included in all

# copies or substantial portions of the Software.

#

# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR

# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,

# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE

# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER

# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,

# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE

# SOFTWARE.

__author__ = "Amin Aghaee"

import Import

import Core

import argparse

import cv2

import numpy as np

if __name__ == "__main__":

parser = argparse.ArgumentParser()

parser.add_argument('-in', '--input', default='./mainImage.jpg')

parser.add_argument('-out', '--output', default='output.jpg', help='Name of output file')

parser.add_argument('-g', '--gallery', default='./Gallery/')

parser.add_argument('-s', '--scale', type=int, default=8,

help='Output image will be scaled up by this factor [H * $(scale), W * $(scale)]')

parser.add_argument("--grey", help="Work in Greyscale mode")

parser.add_argument("-r", "--recursive", help='Scan all images inside Gallery directory recursively')

parser.add_argument("-v", "--verbose", help='Print steps in system log')

args, leftovers = parser.parse_known_args()

if args.verbose is not None:

verbose = True

else:

verbose = False

if args.grey is not None:

grey = True

else:

grey = False

if args.recursive is not None:

rec = True

else:

rec = False

if grey:

IMAGE = cv2.imread(args.input, 0)

else:

IMAGE = cv2.imread(args.input, 1)

# Play with these arguments:

window_size = 4

gallery_im_siz = 32

gallery = Import.Importer(args.gallery, './output/', recursion=rec, im_size=gallery_im_siz, Gray=grey,

verbose=verbose)

ws = window_size

ncluster = min(len(gallery), (IMAGE.shape[0] * IMAGE.shape[1]) // ((ws + 1) ** 2))

C = Core.Core(IMAGE, window_size, n_cluster=ncluster)

# out, esum = C.build(gallery, target_pixel_size=args.scale // window_size)

out = C.build_cosine(gallery)

esum = 0

out = np.uint8(out)

print('Error = {}'.format(esum))

cv2.imwrite(args.output, out)