def run(self):
for cls in self._cls:
path = os.path.join(self._src, cls)
out = open(path + '.txt', 'w')
for img in ImgFileIter(path, cls).run():
self._hfunc.update(img)
out.write(self._hfunc.hexdigest() + '\n')
out.close()
"""
Usage: db_ext_rb.py <src> <dst>
Options:
-h --help
"""
import cv2
import os
from docopt import docopt
from mscr.util import ImgFileIter, Crop
from mscr.blocks import RandBlockIter
if __name__ == '__main__':
args = docopt(__doc__)
src = args['<src>']
dst = args['<dst>']
for folder in ['ms', 'txt']:
fileiter = ImgFileIter(os.path.join(src, folder), crop=Crop())
blockiter = RandBlockIter(15)
count = 0
for x in fileiter.run():
for b, _ in blockiter.run(x):
outfile = os.path.join(dst, folder,
str(count).zfill(8) + '.jpg')
cv2.imwrite(outfile, b)
count += 1
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Usage: db_dimstat.py <src>
Options:
-h --help
"""
import numpy as np
from docopt import docopt
from mscr.util import ImgFileIter
if __name__ == '__main__':
args = docopt(__doc__)
src = args['<src>']
dim = []
fileIter = ImgFileIter(src)
for x in fileIter.run():
tmp = x.shape[:2]
dim = np.vstack((dim, tmp)) if len(dim) > 0 else tmp
print dim.mean(axis=0), dim.std(axis=0)
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Usage: db_dimstat.py <src>
Options:
-h --help
"""
import numpy as np
from docopt import docopt
from mscr.util import ImgFileIter
if __name__ == '__main__':
args = docopt(__doc__)
src = args['<src>']
dim = []
fileIter = ImgFileIter(src)
for x in fileIter.run():
tmp = x.shape[:2]
dim = np.vstack((dim, tmp)) if len(dim) > 0 else tmp
print dim.mean(axis=0), dim.std(axis=0)
Usage: db_ext_rb.py <src> <dst>
Options:
-h --help
"""
import cv2
import os
from docopt import docopt
from mscr.util import ImgFileIter, Crop
from mscr.blocks import RandBlockIter
if __name__ == '__main__':
args = docopt(__doc__)
src = args['<src>']
dst = args['<dst>']
for folder in ['ms', 'txt']:
fileiter = ImgFileIter(os.path.join(src, folder), crop=Crop())
blockiter = RandBlockIter(15)
count = 0
for x in fileiter.run():
for b, _ in blockiter.run(x):
outfile = os.path.join(dst, folder, str(count).zfill(8)
+ '.jpg')
cv2.imwrite(outfile, b)
count += 1