def main() -> None:
try:
parser = Parser()
args = parser.parse()
if args.batch:
sender = BatchSender(args.batch, args)
sender.broadcast()
else:
run(args)
except KeyboardInterrupt:
pass
"Shortcut equivalent to -w [RUN_ALL_BASEWORDS] -t [RUN_ALL_TECHNIQUES] -s -p [RUN_ALL_PERCENTILE] -l [RUN_ALL_FIRST_PATHWELL_MASK, RUN_ALL_LAST_PATHWELL_MASK] -m -u -c -r. See config.py for values used.",
action='store_true')
lArgParser.add_argument(
'-j',
'--pass-through',
type=str,
help=
"Pass-through the raw parameter to John the Ripper. Example: --pass-through=\"--fork=2\"\n\n",
action='store')
lArgParser.add_argument(
'-v',
'--verbose',
help='Enable verbose output such as current progress and duration',
action='store_true')
lArgParser.add_argument('-d',
'--debug',
help='Enable debug mode',
action='store_true')
requiredAguments = lArgParser.add_mutually_exclusive_group(required=True)
requiredAguments.add_argument('-e',
'--examples',
help='Show example usage',
action='store_true')
requiredAguments.add_argument(
'-i',
'--input-file',
type=str,
help='Path to file containing password hashes to attempt to crack',
action='store')
run_main_program(pParser=Parser(lArgParser.parse_args(), Config))
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)
