import cv2
import numpy as np
from utils import halftoning, plot_histogram
from argparser import Parser
args = Parser()
img_path = args.get_arg('image')
output_filename = args.get_arg('output_path')
error_dist = args.get_arg('error_dist')
sweep_mode = args.get_arg('sweep_mode')
display_mode = args.get_arg('display_mode')
img_path = 'images/peppers.png' if img_path is None else img_path
img = cv2.imread(img_path, cv2.IMREAD_COLOR)
res_img = halftoning(np.array(img), edist_id=error_dist, sweep_mode=sweep_mode)
if output_filename is not None:
cv2.imwrite(output_filename, res_img)
if display_mode == 'hist':
plot_histogram(res_img)
elif display_mode is None or display_mode == 'images':
cv2.imshow('source image', img)
cv2.imshow('resulting image', res_img)
cv2.waitKey(0)
cv2.destroyAllWindows()
import cv2
import numpy as np
import sys
from argparser import Parser
from masks import get_mask
from filter_utils import show_filtered_image, filter_image, add_filters, show_src_and_filtered_image
MASK_COUNT = 11
parser = Parser()
filename = parser.get_arg('image')
mask_id = parser.get_arg('mask')
output_filename = parser.get_arg('output_path')
output_combined_filename = parser.get_arg('output_combined_path')
hflip = parser.get_arg('hflip')
skip_image_show = parser.get_arg('skip_image_show')
img = cv2.imread(filename, cv2.IMREAD_GRAYSCALE)
flip_axis = 1 if hflip else None
(filtered_image, combined_filters_image) = show_filtered_image(
img,\
mask_id,\
flip_axis=flip_axis,\
show_images=not skip_image_show\
)
if (output_filename):
cv2.imwrite(output_filename, filtered_image)
if (combined_filters_image is not None and output_combined_filename):
cv2.imwrite(output_combined_filename, combined_filters_image)
import cv2
import numpy as np
from matplotlib import pyplot as plt
from argparser import Parser
from codify import codify
from decodify import decodify
from bitplane_utils import extract_rgb_bitplane, merge_rgb
args = Parser()
# Command arguments
mode = args.get_arg('mode')
imgin_path = args.get_arg('imagein')
imgout_path = args.get_arg('imageout')
textin_path = args.get_arg('textin')
textout_path = args.get_arg('textout')
bitplan = args.get_arg('bitplan')
img = cv2.imread(imgin_path, cv2.IMREAD_COLOR)
if mode == 'codify':
res_img = codify(img, open(textin_path).read(), bitplan=bitplan)
cv2.imwrite(imgout_path, res_img)
elif mode == 'decodify':
decodified_msg = decodify(img, bitplan=bitplan)
textout_file = open(textout_path, 'w')
textout_file.write(str(decodified_msg))
textout_file.close()
elif mode == 'bitplanes':
for bitplane in [0, 1, 2, 7]:
bitplane_blue, bitplane_green, bitplane_red = extract_rgb_bitplane(img, bitplane)
bitplanes_img = merge_rgb(bitplane_blue, bitplane_green, bitplane_red)
import cv2
from argparser import Parser
from interpolations import closest_neighboor
args = Parser()
mode = args.get_arg('mode')
input_path = args.get_arg('input-image')
output_path = args.get_arg('output-image')
angle = args.get_arg('angle')
scale_factor = args.get_arg('scale-factor')
dimension = args.get_arg('image-dimension')
img = cv2.imread(input_path, cv2.IMREAD_GRAYSCALE)
interpolated_img = closest_neighboor(img, scale_factor=scale_factor)
cv2.imshow('source img', img)
cv2.imshow('interpolated img', interpolated_img)
cv2.waitKey(0)
cv2.destroyAllWindows()
import cv2
import numpy as np
from matplotlib import pyplot as plt
from argparser import Parser
from thresholding_method import ThresholdingMethod, ThresholdingConfig
args = Parser()
# Command arguments
img_path = args.get_arg('image')
out_path = args.get_arg('out')
method = args.get_arg('method')
T = args.get_arg('T')
n = args.get_arg('n')
k = args.get_arg('k')
R = args.get_arg('R')
p = args.get_arg('p')
q = args.get_arg('q')
display_mode = args.get_arg('display_mode')
img = cv2.imread(img_path, cv2.IMREAD_UNCHANGED)
thres_method = ThresholdingMethod(method)
res_img = thres_method.exec(img,
ThresholdingConfig(T=T, n=n, k=k, R=R, p=p, q=q))
if (out_path):
cv2.imwrite(out_path, res_img)
if display_mode == 'hist':
(h, w) = res_img.shape
print(np.count_nonzero(res_img == 0) / (h * w))
plt.hist(img.ravel(), 256, [0, 256])
