def create_h5(self):
"""Creates a HDF5 file with all particle data in it"""
list_of_images = glob(self.path + '/*.' + self.image_type)
with self.open_h5('a') as f:
for path in list_of_images:
arr = imread(path)
fname = os.path.basename(path)
camera, camera_index, ab, time, time_str = self._parse_image_path(
path)
if time_str not in f.keys():
grp = f.create_group(time_str)
grp.attrs['t'] = time
else:
grp = f[time_str]
if camera not in grp.keys():
subgrp = grp.create_group(camera)
subgrp.attrs['t'] = time
subgrp.attrs['cam'] = camera_index
else:
subgrp = grp[camera]
try:
dset = subgrp.create_dataset(fname, data=arr)
dset.attrs['t'] = time
dset.attrs['cam'] = camera_index
dset.attrs['ab'] = ab
except RuntimeError:
print('WARNING: Image dataset ' + fname +
' already exists in ' + self.h5file)
pass
self.refresh_h5dict()
def create_h5(self):
"""Creates a HDF5 file with all particle data in it"""
list_of_images = glob(self.path + '/*.' + self.image_type)
with self.open_h5('a') as f:
for path in list_of_images:
arr = imread(path)
fname = os.path.basename(path)
camera, camera_index, ab, time, time_str = self._parse_image_path(path)
if time_str not in f.keys():
grp = f.create_group(time_str)
grp.attrs['t'] = time
else:
grp = f[time_str]
if camera not in grp.keys():
subgrp = grp.create_group(camera)
subgrp.attrs['t'] = time
subgrp.attrs['cam'] = camera_index
else:
subgrp = grp[camera]
try:
dset = subgrp.create_dataset(fname, data=arr)
dset.attrs['t'] = time
dset.attrs['cam'] = camera_index
dset.attrs['ab'] = ab
except RuntimeError:
print('WARNING: Image dataset ' + fname + ' already exists in ' + self.h5file)
pass
self.refresh_h5dict()
def create_h5(self):
"""Creates a HDF5 file with all calibration data in it"""
list_of_images = glob(self.path + '/*.' + self.image_type)
with self.open_h5('a') as f:
for path in list_of_images:
arr = imread(path)
fname = os.path.basename(path)
z_loc, camera, camera_index = self._parse_image_path(path)
if camera not in f.keys():
grp = f.create_group(camera)
grp.attrs['cam'] = camera_index
else:
grp = f[camera]
try:
dset = grp.create_dataset(fname, data=arr)
dset.attrs['cam'] = camera_index
dset.attrs['z'] = z_loc
except RuntimeError:
print('WARNING: Image dataset ' + fname +
' already exists in ' + self.h5file)
pass
self.refresh_h5dict()
def create_h5(self):
"""Creates a HDF5 file with all calibration data in it"""
list_of_images = glob(self.path + '/*.' + self.image_type)
with self.open_h5('a') as f:
for path in list_of_images:
arr = imread(path)
fname = os.path.basename(path)
z_loc, camera, camera_index = self._parse_image_path(path)
if camera not in f.keys():
grp = f.create_group(camera)
grp.attrs['cam'] = camera_index
else:
grp = f[camera]
try:
dset = grp.create_dataset(fname, data=arr)
dset.attrs['cam'] = camera_index
dset.attrs['z'] = z_loc
except RuntimeError:
print('WARNING: Image dataset ' + fname + ' already exists in ' + self.h5file)
pass
self.refresh_h5dict()
