def run():
with h5py.File('HWDB1.1.hdf5', 'w') as f:
for name, size, dirpath in [('trn', TRN_SIZE, trn_dirpath), ('tst', TST_SIZE, tst_dirpath)]:
print('Converting \'%s\'...' % name)
grp = f.create_group(name)
dset_bitmap = grp.create_dataset('bitmap', (size, 64, 64, 1), dtype='uint8')
dset_tagcode = grp.create_dataset('tagcode', (size, 1), dtype='uint16')
sample_num = 0
for i, (bitmap, tagcode) in enumerate(utils.read_gnt_in_directory(dirpath)):
dset_bitmap[i] = utils.normalize_bitmap(bitmap)
dset_tagcode[i] = tagcode
sample_num += 1
print("Sample Number: {0}".format(sample_num))
#!/usr/bin/env python
# This script can be used to see how bitmaps will be preprocessed before
# subsetting the CASIA HWDB1.1 data set
import sys
import matplotlib.cm as cm
import matplotlib.pyplot as plt
import numpy as np
import utils
if len(sys.argv) != 2:
print 'Usage: %s gnt_dirpath' % sys.argv[0]
exit()
gnt_dirpath = sys.argv[1]
for i, (bitmap,
tagcode) in enumerate(utils.read_gnt_in_directory(gnt_dirpath)):
print utils.tagcode_to_unicode(tagcode).encode(
'utf-8') # wrong terminal encoding = garbage
proc_bitmap = utils.normalize_bitmap(bitmap)
proc_bitmap = utils.preprocess_bitmap(proc_bitmap)
plt.subplot(121)
plt.imshow(bitmap, cmap=cm.Greys_r)
plt.subplot(122)
plt.imshow(np.squeeze(proc_bitmap, axis=0), cmap=cm.Greys_r)
plt.show()
#!/usr/bin/env python2
import sys
import h5py
import utils
if len(sys.argv) != 3:
print 'Usage: %s trn_dirpath tst_dirpath' % sys.argv[0]
sys.exit(1)
trn_dirpath = sys.argv[1]
tst_dirpath = sys.argv[2]
with h5py.File('HWDB1.1.hdf5', 'w') as f:
for name, size, dirpath in [('trn', 897758, trn_dirpath),
('tst', 223991, tst_dirpath)]:
print 'Converting \'%s\'...' % name
grp = f.create_group(name)
dset_bitmap = grp.create_dataset('bitmap', (size, 1, 64, 64),
dtype='uint8')
dset_tagcode = grp.create_dataset('tagcode', (size, 1), dtype='uint16')
for i, (bitmap,
tagcode) in enumerate(utils.read_gnt_in_directory(dirpath)):
dset_bitmap[i] = utils.normalize_bitmap(bitmap)
dset_tagcode[i] = tagcode
#!/usr/bin/env python2
# This script can be used to see how bitmaps will be preprocessed before
# subsetting the CASIA HWDB1.1 data set
import sys
import matplotlib.cm as cm
import matplotlib.pyplot as plt
import numpy as np
import utils
if len(sys.argv) != 2:
print 'Usage: %s gnt_dirpath' % sys.argv[0]
exit()
gnt_dirpath = sys.argv[1]
for i, (bitmap, tagcode) in enumerate(utils.read_gnt_in_directory(gnt_dirpath)):
print utils.tagcode_to_unicode(tagcode).encode('utf-8') # wrong terminal encoding = garbage
proc_bitmap = utils.normalize_bitmap(bitmap)
proc_bitmap = utils.preprocess_bitmap(proc_bitmap)
plt.subplot(121)
plt.imshow(bitmap, cmap=cm.Greys_r)
plt.subplot(122)
plt.imshow(np.squeeze(proc_bitmap, axis=0), cmap=cm.Greys_r)
plt.show()
#!/usr/bin/env python2
import sys
import h5py
import utils
if len(sys.argv) != 3:
print 'Usage: %s trn_dirpath tst_dirpath' % sys.argv[0]
sys.exit(1)
trn_dirpath = sys.argv[1]
tst_dirpath = sys.argv[2]
with h5py.File('HWDB1.1.hdf5', 'w') as f:
for name, size, dirpath in [('trn', 897758, trn_dirpath), ('tst', 223991, tst_dirpath)]:
print 'Converting \'%s\'...' % name
grp = f.create_group(name)
dset_bitmap = grp.create_dataset('bitmap', (size, 1, 64, 64), dtype='uint8')
dset_tagcode = grp.create_dataset('tagcode', (size, 1), dtype='uint16')
for i, (bitmap, tagcode) in enumerate(utils.read_gnt_in_directory(dirpath)):
dset_bitmap[i] = utils.normalize_bitmap(bitmap)
dset_tagcode[i] = tagcode
