def main():
file_name = '//local/data/esrf/scan.edf'
dark_file_name = '/local/data/esrf/dark.edf'
white_file_name = '/local/data/esrf/flat.edf'
hdf5_file_name = '/local/data/esrf_test.h5'
sample_name = 'esrf'
verbose = True
if verbose: print file_name
if verbose: print white_file_name
if verbose: print hdf5_file_name
# if verbose: print log_file
mydata = Convert()
# Create minimal hdf5 file
if verbose: print "Reading data ... "
mydata.stack(file_name,
hdf5_file_name = hdf5_file_name,
white_file_name = white_file_name,
dark_file_name = dark_file_name,
projections_data_type = 'edf',
white_data_type = 'edf',
dark_data_type = 'edf',
sample_name = sample_name
)
if verbose: print "Done reading data ... "
# Add extra metadata if available
# Open DataExchange file
f = DataExchangeFile(hdf5_file_name, mode='a')
# Create HDF5 subgroup
# /measurement/instrument
f.add_entry( DataExchangeEntry.instrument(name={'value': 'ESRF'}) )
# Create HDF5 subgroup
# /measurement/instrument/source
f.add_entry( DataExchangeEntry.source(name={'value': 'ESRF'},
date_time={'value': "2014-12-05T19:42:13+0100"},
beamline={'value': "ID-19"},
)
)
# /measurement/experimenter
f.add_entry( DataExchangeEntry.experimenter(name={'value':"Emmanuelle"},
role={'value':"Project PI"},
)
)
f.close()
if verbose: print "Done converting ", file_name
def main():
file_name = '/local/data/databank/Diamond/projections_13429.hdf'
hdf5_file_name = '/local/data/databank/dataExchange/microCT/Diamond_2bin.h5'
verbose = True
print "Input files base name: ", file_name
print "Output data exchange file name: ", hdf5_file_name
mydata = Convert()
# Create minimal hdf5 file
if verbose: print "Reading data ... "
mydata.nexus(file_name,
hdf5_file_name = hdf5_file_name,
projections_start=20,
projections_end=1820,
projections_step=2,
white_start=11,
white_end=20,
dark_start=1,
dark_end=3,
sample_name = 'unknown'
)
if verbose: print "Done reading data ... "
# Add extra metadata if available
# Open DataExchange file
f = DataExchangeFile(hdf5_file_name, mode='a')
# Create HDF5 subgroup
# /measurement/instrument
f.add_entry( DataExchangeEntry.instrument(name={'value': 'Diamond I12'}) )
### Create HDF5 subgroup
### /measurement/instrument/source
f.add_entry( DataExchangeEntry.source(name={'value': "Diamond Light Source"},
date_time={'value': "2013-11-30T19:17:04+0100"},
beamline={'value': "JEEP I12"},
)
)
# Create HDF5 subgroup
# /measurement/experimenter
f.add_entry( DataExchangeEntry.experimenter(name={'value':"Michael Drakopoulos"},
role={'value':"Project PI"},
)
)
f.close()
print "Done creating data exchange file: ", hdf5_file_name
def main():
file_name = '/local/data/databank/APS_13_BM/run2_soln1_2_.SPE'
hdf5_file_name = '/local/data/databank/dataExchange/microCT/run2_soln1_2.h5'
verbose = True
if verbose: print "Input files base name: ", file_name
if verbose: print "Output data exchange file name: ", hdf5_file_name
mydata = Convert()
# Create minimal hdf5 file
if verbose: print "Reading data ... "
mydata.multiple_stack(file_name,
hdf5_file_name = hdf5_file_name,
projections_start=2,
projections_end=7,
projections_step=2,
white_start=1,
white_end=8,
white_step=2,
sample_name = 'Stripe_Solder_Sample_Tip1'
)
if verbose: print "Done reading data ... "
# Add extra metadata if available
# Open DataExchange file
f = DataExchangeFile(hdf5_file_name, mode='a')
# Create HDF5 subgroup
# /measurement/instrument
f.add_entry( DataExchangeEntry.instrument(name={'value': 'APS 13-BM'}) )
### Create HDF5 subgroup
### /measurement/instrument/source
f.add_entry( DataExchangeEntry.source(name={'value': "Advanced Photon Source"},
date_time={'value': "2013-11-30T19:17:04+0100"},
beamline={'value': "13-BM"},
)
)
# Create HDF5 subgroup
# /measurement/experimenter
f.add_entry( DataExchangeEntry.experimenter(name={'value':"Mark Rivers"},
role={'value':"Project PI"},
)
)
f.close()
if verbose: print "Done creating data exchange file: ", hdf5_file_name
def main():
file_name = '/local/data/databank/Diamond/projections_13429.hdf'
hdf5_file_name = '/local/data/databank/dataExchange/microCT/Diamond_2bin.h5'
mydata = Convert()
# Create minimal hdf5 file
if verbose: print "Reading data ... "
mydata.nexus(file_name,
hdf5_file_name = hdf5_file_name,
projections_start=20,
projections_end=1820,
projections_step=2,
white_start=11,
white_end=20,
dark_start=1,
dark_end=3,
sample_name = 'unknown'
)
# Add extra metadata if available / desired
# Open DataExchange file
f = DataExchangeFile(hdf5_file_name, mode='a')
# Create HDF5 subgroup
# /measurement/instrument
f.add_entry( DataExchangeEntry.instrument(name={'value': 'Diamond I12'}) )
### Create HDF5 subgroup
### /measurement/instrument/source
f.add_entry( DataExchangeEntry.source(name={'value': "Diamond Light Source"},
date_time={'value': "2013-11-30T19:17:04+0100"},
beamline={'value': "JEEP I12"},
)
)
# Create HDF5 subgroup
# /measurement/experimenter
f.add_entry( DataExchangeEntry.experimenter(name={'value':"Michael Drakopoulos"},
role={'value':"Project PI"},
)
)
f.close()
print "Done creating data exchange file: ", hdf5_file_name
def xtomo_exchange(
self,
data,
data_white=None,
data_dark=None,
theta=None,
data_exchange_type=None,
source_name=None,
source_mode=None,
source_datetime=None,
beamline=None,
energy=None,
current=None,
actual_pixel_size=None,
experimenter_name=None,
experimenter_affiliation=None,
experimenter_email=None,
instrument_comment=None,
sample_name=None,
sample_comment=None,
acquisition_mode=None,
acquisition_comment=None,
sample_position_x=None,
sample_position_y=None,
sample_position_z=None,
sample_image_shift_x=None,
sample_image_shift_y=None,
image_exposure_time=None,
image_time=None,
image_theta=None,
hdf5_file_name=None,
axes="theta:y:x",
log="INFO",
):
"""
Write 3-D data to a data-exchange file.
Parameters
data : ndarray
3-D X-ray absorption tomography raw data.
Size of the dimensions should be:
[projections, slices, pixels].
data_white, data_dark : ndarray, optional
3-D white-field/dark_field data. Multiple
projections are stacked together to obtain
a 3-D matrix. 2nd and 3rd dimensions should
be the same as data: [shots, slices, pixels].
theta : ndarray, optional
Data acquisition angles corresponding
to each projection.
data_excahnge_type : str, optional
label defyining the type of data contained in data exchange file
for raw data tomography data use 'tomography_raw_projections'
source_name, source_mode, source_datetime : str, optional
label defining the source name, operation mode and date/time when these values were taken
beamline : str, optional
label defining the beamline name
energy, current : float, optional
X-ray energy and bean current
actual_pixel_size : float, optional
pixel size on the sample plane
experimenter_name, experimenter_affiliation, experimenter_email : str, optional
user name, affiliation and e-mail address
instrument_comment : str, optional
instrument comment
sample_name, sample_comment : str, optional
sample name and comment
acquisition_mode, acquisition_comment : str, optional
acquisition mode and comment
hd5_file_name : str
Output file.
Notes
-----
If file exists, does nothing
Examples
- Convert tomographic projection series (raw, dark, white) of tiff in data exchange:
>>> import dataexchange
>>> file_name = '/local/dataraid/databank/Anka/radios/image_.tif'
>>> dark_file_name = '/local/dataraid/databank/Anka/darks/image_.tif'
>>> white_file_name = '/local/dataraid/databank/Anka/flats/image_.tif'
>>> hdf5_file_name = '/local/dataraid/databank/dataExchange/tmp/Anka.h5'
>>> projections_start = 0
>>> projections_end = 3167
>>> white_start = 0
>>> white_end = 100
>>> dark_start = 0
>>> dark_end = 100
>>> sample_name = 'Anka'
>>>
>>> # Read raw data
>>> read = dataexchange.Import()
>>> data, white, dark, theta = read.xtomo_raw(file_name,
>>> projections_start = projections_start,
>>> projections_end = projections_end,
>>> white_file_name = white_file_name,
>>> white_start = white_start,
>>> white_end = white_end,
>>> dark_file_name = dark_file_name,
>>> dark_start = dark_start,
>>> dark_end = dark_end,
>>> projections_digits = 5,
>>> log='INFO'
>>> )
>>>
>>> # Save data
>>> write = dataexchange.Export()
>>> write.xtomo_exchange(data = data,
>>> data_white = white,
>>> data_dark = dark,
>>> theta = theta,
>>> hdf5_file_name = hdf5_file_name,
>>> data_exchange_type = 'tomography_raw_projections',
>>> sample_name = sample_name
>>> )
"""
if hdf5_file_name != None:
if os.path.isfile(hdf5_file_name):
self.logger.error("Data Exchange file: [%s] already exists", hdf5_file_name)
else:
# Create new folder.
dirPath = os.path.dirname(hdf5_file_name)
if not os.path.exists(dirPath):
os.makedirs(dirPath)
# Get the file_name in lower case.
lFn = hdf5_file_name.lower()
# Split the string with the delimeter '.'
end = lFn.split(".")
# Write the Data Exchange HDF5 file.
# Open DataExchange file
f = DataExchangeFile(hdf5_file_name, mode="w")
self.logger.info("Creating Data Exchange File [%s]", hdf5_file_name)
# Create core HDF5 dataset in exchange group for projections_theta_range
# deep stack of x,y images /exchange/data
self.logger.info("Adding projections to Data Exchange File [%s]", hdf5_file_name)
f.add_entry(
DataExchangeEntry.data(
data={"value": data, "units": "counts", "description": "transmission", "axes": axes}
)
)
# f.add_entry( DataExchangeEntry.data(data={'value': data, 'units':'counts', 'description': 'transmission', 'axes':'theta:y:x', 'dataset_opts': {'compression': 'gzip', 'compression_opts': 4} }))
if theta != None:
f.add_entry(DataExchangeEntry.data(theta={"value": theta, "units": "degrees"}))
self.logger.info("Adding theta to Data Exchange File [%s]", hdf5_file_name)
else:
self.logger.warning("theta is not defined")
if data_dark != None:
self.logger.info("Adding dark fields to Data Exchange File [%s]", hdf5_file_name)
f.add_entry(
DataExchangeEntry.data(
data_dark={"value": data_dark, "units": "counts", "axes": "theta_dark:y:x"}
)
)
# f.add_entry( DataExchangeEntry.data(data_dark={'value': data_dark, 'units':'counts', 'axes':'theta_dark:y:x', 'dataset_opts': {'compression': 'gzip', 'compression_opts': 4} }))
else:
self.logger.warning("data dark is not defined")
if data_white != None:
self.logger.info("Adding white fields to Data Exchange File [%s]", hdf5_file_name)
f.add_entry(
DataExchangeEntry.data(
data_white={"value": data_white, "units": "counts", "axes": "theta_white:y:x"}
)
)
# f.add_entry( DataExchangeEntry.data(data_white={'value': data_white, 'units':'counts', 'axes':'theta_white:y:x', 'dataset_opts': {'compression': 'gzip', 'compression_opts': 4} }))
else:
self.logger.warning("data white is not defined")
if data_exchange_type != None:
self.logger.info("Adding data type to Data Exchange File [%s]", hdf5_file_name)
f.add_entry(DataExchangeEntry.data(title={"value": data_exchange_type}))
if source_name != None:
f.add_entry(DataExchangeEntry.source(name={"value": source_name}))
if source_mode != None:
f.add_entry(DataExchangeEntry.source(mode={"value": source_mode}))
if source_datetime != None:
f.add_entry(DataExchangeEntry.source(datetime={"value": source_datetime}))
if beamline != None:
f.add_entry(DataExchangeEntry.source(beamline={"value": beamline}))
if energy != None:
f.add_entry(
DataExchangeEntry.monochromator(
energy={"value": energy, "units": "keV", "dataset_opts": {"dtype": "d"}}
)
)
if current != None:
f.add_entry(
DataExchangeEntry.source(
current={"value": current, "units": "mA", "dataset_opts": {"dtype": "d"}}
)
)
if actual_pixel_size != None:
f.add_entry(
DataExchangeEntry.detector(
actual_pixel_size_x={
"value": actual_pixel_size,
"units": "microns",
"dataset_opts": {"dtype": "d"},
},
actual_pixel_size_y={
"value": actual_pixel_size,
"units": "microns",
"dataset_opts": {"dtype": "d"},
},
)
)
if experimenter_name != None:
f.add_entry(DataExchangeEntry.experimenter(name={"value": experimenter_name}))
if experimenter_affiliation != None:
f.add_entry(DataExchangeEntry.experimenter(affiliation={"value": experimenter_affiliation}))
if experimenter_email != None:
f.add_entry(DataExchangeEntry.experimenter(email={"value": experimenter_email}))
if instrument_comment != None:
f.add_entry(DataExchangeEntry.instrument(comment={"value": instrument_comment}))
if sample_name == None:
sample_name = end[0]
f.add_entry(
DataExchangeEntry.sample(
name={"value": sample_name},
description={
"value": "Sample name assigned by the HDF5 converter and based on the HDF5 file name"
},
)
)
else:
f.add_entry(DataExchangeEntry.sample(name={"value": sample_name}))
if sample_comment != None:
f.add_entry(DataExchangeEntry.sample(comment={"value": sample_comment}))
if acquisition_mode != None:
f.add_entry(DataExchangeEntry.acquisition(mode={"value": acquisition_mode}))
if acquisition_comment != None:
f.add_entry(DataExchangeEntry.acquisition(comment={"value": acquisition_comment}))
if sample_position_x != None:
f.add_entry(
DataExchangeEntry.acquisition(
sample_position_x={
"value": sample_position_x,
"units": "microns",
"dataset_opts": {"dtype": "d"},
}
)
)
if sample_position_y != None:
f.add_entry(
DataExchangeEntry.acquisition(
sample_position_y={
"value": sample_position_y,
"units": "microns",
"dataset_opts": {"dtype": "d"},
}
)
)
if sample_position_z != None:
f.add_entry(
DataExchangeEntry.acquisition(
sample_position_z={
"value": sample_position_z,
"units": "microns",
"dataset_opts": {"dtype": "d"},
}
)
)
if sample_image_shift_x != None:
f.add_entry(
DataExchangeEntry.acquisition(
sample_image_shift_x={
"value": sample_image_shift_x,
"units": "microns",
"dataset_opts": {"dtype": "d"},
}
)
)
if sample_image_shift_y != None:
f.add_entry(
DataExchangeEntry.acquisition(
sample_image_shift_y={
"value": sample_image_shift_y,
"units": "microns",
"dataset_opts": {"dtype": "d"},
}
)
)
if image_exposure_time != None:
f.add_entry(
DataExchangeEntry.acquisition(
image_exposure_time={
"value": image_exposure_time,
"units": "s",
"dataset_opts": {"dtype": "d"},
}
)
)
if image_time != None:
f.add_entry(DataExchangeEntry.acquisition(image_time={"value": image_time}))
if image_theta != None:
f.add_entry(DataExchangeEntry.acquisition(image_theta={"value": image_theta, "units": "degrees"}))
f.close()
self.logger.info("DONE!!!!. Created Data Exchange File [%s]", hdf5_file_name)
else:
self.logger.warning("Nothing to do ...")
def main():
##file_name = '/local/data/databank/SLS_2011/Blakely_SLS/Blakely.tif'
##log_file = '/local/data/databank/SLS_2011/Blakely_SLS/Blakely.log'
##
##hdf5_file_name = '/local/data/databank/dataExchange/microCT/Blakely_SLS_2011.h5'
file_name = '/local/data/databank/SLS_2011/Hornby_SLS/Hornby_b.tif'
log_file = '/local/data/databank/SLS_2011/Hornby_SLS/Hornby.log'
hdf5_file_name = '/local/data/databank/dataExchange/microCT/Hornby_SLS_2011.h5'
verbose = True
if verbose: print file_name
if verbose: print log_file
if verbose: print hdf5_file_name
#Read input SLS data
file = open(log_file, 'r')
if verbose: print '###############################'
for line in file:
if 'Number of darks' in line:
NumberOfDarks = re.findall(r'\d+', line)
if verbose: print 'Number of Darks', NumberOfDarks[0]
if 'Number of flats' in line:
NumberOfFlats = re.findall(r'\d+', line)
if verbose: print 'Number of Flats', NumberOfFlats[0]
if 'Number of projections' in line:
NumberOfProjections = re.findall(r'\d+', line)
if verbose: print 'Number of Projections', NumberOfProjections[0]
if 'Number of inter-flats' in line:
NumberOfInterFlats = re.findall(r'\d+', line)
if verbose: print 'Number of inter-flats', NumberOfInterFlats[0]
if 'Inner scan flag' in line:
InnerScanFlag = re.findall(r'\d+', line)
if verbose: print 'Inner scan flag', InnerScanFlag[0]
if 'Flat frequency' in line:
FlatFrequency = re.findall(r'\d+', line)
if verbose: print 'Flat frequency', FlatFrequency[0]
if 'Rot Y min' in line:
RotYmin = re.findall(r'\d+.\d+', line)
if verbose: print 'Rot Y min', RotYmin[0]
if 'Rot Y max' in line:
RotYmax = re.findall(r'\d+.\d+', line)
if verbose: print 'Rot Y max', RotYmax[0]
if 'Angular step' in line:
AngularStep = re.findall(r'\d+.\d+', line)
if verbose: print 'Angular step', AngularStep[0]
if verbose: print '###############################'
file.close()
dark_start = 1
dark_end = int(NumberOfDarks[0]) + 1
white_start = dark_end
white_end = white_start + int(NumberOfFlats[0])
projections_start = white_end
projections_end = projections_start + int(NumberOfProjections[0])
if verbose: print dark_start, dark_end
if verbose: print white_start, white_end
if verbose: print projections_start, projections_end
dark_start = 1
dark_end = 21
white_start = 21
white_end = 221
projections_start = 221
projections_end = 1662
### if testing uncomment
##dark_end = 4
##white_end = 24
##projections_end = 224
mydata = Convert()
# Create minimal hdf5 file
mydata.series_of_images(file_name,
hdf5_file_name,
projections_start,
projections_end,
white_start = white_start,
white_end = white_end,
dark_start = dark_start,
dark_end = dark_end,
verbose = False
)
# Add extra metadata if available
# Open DataExchange file
f = DataExchangeFile(hdf5_file_name, mode='a')
# Create HDF5 subgroup
# /measurement/instrument
f.add_entry( DataExchangeEntry.instrument(name={'value': 'Tomcat'}) )
# Create HDF5 subgroup
# /measurement/instrument/source
f.add_entry( DataExchangeEntry.source(name={'value': 'Swiss Light Source'},
date_time={'value': "2010-11-08T14:51:56+0100"},
beamline={'value': "Tomcat"},
current={'value': 401.96, 'units': 'mA', 'dataset_opts': {'dtype': 'd'}},
)
)
# Create HDF5 subgroup
# /measurement/instrument/monochromator
f.add_entry( DataExchangeEntry.monochromator(type={'value': 'Multilayer'},
energy={'value': 19.260, 'units': 'keV', 'dataset_opts': {'dtype': 'd'}},
mono_stripe={'value': 'Ru/C'},
)
)
# Create HDF5 subgroup
# /measurement/experimenter
f.add_entry( DataExchangeEntry.experimenter(name={'value':"Federica Marone"},
role={'value':"Project PI"},
affiliation={'value':"Swiss Light Source"},
phone={'value':"+41 56 310 5318"},
email={'value':"*****@*****.**"},
)
)
# Create HDF5 subgroup
# /measurement/instrument/detector
f.add_entry( DataExchangeEntry.detector(manufacturer={'value':'CooKe Corporation'},
model={'value': 'pco dimax'},
serial_number={'value': '1234XW2'},
bit_depth={'value': 12, 'dataset_opts': {'dtype': 'd'}},
x_pixel_size={'value': 6.7e-6, 'dataset_opts': {'dtype': 'f'}},
y_pixel_size={'value': 6.7e-6, 'dataset_opts': {'dtype': 'f'}},
x_dimensions={'value': 2048, 'dataset_opts': {'dtype': 'i'}},
y_dimensions={'value': 2048, 'dataset_opts': {'dtype': 'i'}},
x_binning={'value': 1, 'dataset_opts': {'dtype': 'i'}},
y_binning={'value': 1, 'dataset_opts': {'dtype': 'i'}},
operating_temperature={'value': 270, 'units':'K', 'dataset_opts': {'dtype': 'f'}},
exposure_time={'value': 170, 'units':'ms', 'dataset_opts': {'dtype': 'd'}},
frame_rate={'value': 3, 'dataset_opts': {'dtype': 'i'}},
output_data={'value':'/exchange'}
)
)
f.add_entry(DataExchangeEntry.objective(magnification={'value':10, 'dataset_opts': {'dtype': 'd'}},
)
)
f.add_entry(DataExchangeEntry.scintillator(name={'value':'LuAg '},
type={'value':'LuAg'},
scintillating_thickness={'value':20e-6, 'dataset_opts': {'dtype': 'd'}},
)
)
# Create HDF5 subgroup
# /measurement/experiment
f.add_entry( DataExchangeEntry.experiment( proposal={'value':"e11218"},
)
)
f.close()
if verbose: print "Done converting ", file_name
def main():
file_name = '/local/data/databank/TXM_26ID/Miller1/ABR_1SP_.tif'
#dark_file_name = '/local/data/databank/AS/Mayo_tooth_AS/BG__AFTER_.tif'
#white_file_name = '/local/data/databank/AS/Mayo_tooth_AS/BG__BEFORE_.tif'
hdf5_file_name = '/local/data/databank/dataExchange/TXM/TXM_APS26IDMiller1.h5'
sample_name = 'Teeth'
projections_start = 0
projections_end = 361
white_start = 0
white_end = 0
white_step = 1
dark_start = 0
dark_end = 0
dark_step = 1
verbose = True
if verbose: print "Input projection base name: ", file_name
#if verbose: print "Input white base name: ", white_file_name
#if verbose: print "Input dark base name: ", dark_file_name
if verbose: print "Output data exchange file name: ", hdf5_file_name
mydata = Convert()
# Create minimal hdf5 file
mydata.series_of_images(file_name,
hdf5_file_name,
projections_start,
projections_end,
#white_file_name = white_file_name,
white_start = white_start,
white_end = white_end,
white_step = white_step,
#dark_file_name = dark_file_name,
#dark_start = dark_start,
#dark_end = dark_end,
#dark_step = dark_step,
#sample_name = sample_name,
projections_digits = 4,
#white_digits = 2,
#dark_digits = 2,
projections_zeros = True,
verbose = False
)
if verbose: print "Done reading data ... "
# Add extra metadata if available
# Open DataExchange file
f = DataExchangeFile(hdf5_file_name, mode='a')
# Create HDF5 subgroup
# /measurement/instrument
f.add_entry( DataExchangeEntry.instrument(name={'value': 'Australian Synchrotron Facility'}) )
# Create HDF5 subgroup
# /measurement/instrument/source
f.add_entry( DataExchangeEntry.source(name={'value': 'Australian Synchrotron FacilityI'},
date_time={'value': "2013-10-19T22:22:13+0100"},
beamline={'value': "Tomography"},
)
)
# /measurement/experimenter
f.add_entry( DataExchangeEntry.experimenter(name={'value':"Sherry Mayo"},
role={'value':"Project PI"},
)
)
f.close()
if verbose: print "Done creating data exchange file: ", hdf5_file_name
def write_example(filename):
# --- prepare data ---
# Generate fake raw data
rawdata = np.ones(180 * 256 * 256, np.uint16).reshape(180, 256, 256)
rawdata_white = np.ones(2 * 256 * 256, np.uint16).reshape(2, 256, 256)
rawdata_dark = np.zeros(10 * 256 * 256, np.uint16).reshape(10, 256, 256)
# Generate fake normalized data
normalizeddata = np.ones(180 * 256 * 256, \
np.float64).reshape(180, 256, 256)
# Generate fake reconstructed data
reconstructeddata = np.ones(256 * 256 * 256, \
np.float64).reshape(256, 256, 256)
# x, y and z ranges
x = np.arange(128)
y = np.arange(128)
z = np.arange(180);
# Fabricated theta values
theta = (z / float(180)) * 180.0
theta_white = (0.0, 180.0)
theta_dark = (0.0, 0.0, 0.0, 0.0, 0.0, 180.0, 180.0, 180.0, 180.0, 180.0)
# Fabricated data_shift_x and data_shift_y value
data_shift_x = np.random.randint(-100, 100, size=180)
data_shift_y = np.random.randint(-100, 100, size=180)
# --- create file ---
print filename
# Open DataExchange file
f = DataExchangeFile(filename, mode='w')
# Create core HDF5 dataset in exchange group for 180 deep stack
# of x,y images /exchange/data
f.add_entry( DataExchangeEntry.data(data={'value': rawdata, 'units':'counts', 'description': 'transmission', 'axes':'theta:y:x',
'dataset_opts': {'compression': 'gzip', 'compression_opts': 4} })
)
f.add_entry( DataExchangeEntry.data(title={'value': 'tomography_raw_projections'}))
f.add_entry( DataExchangeEntry.data(data_dark={'value':rawdata_dark, 'units':'counts', 'axes':'theta_dark:y:x',
'dataset_opts': {'compression': 'gzip', 'compression_opts': 4} })
)
f.add_entry( DataExchangeEntry.data(data_white={'value': rawdata_white, 'units':'counts', 'axes':'theta_white:y:x',
'dataset_opts': {'compression': 'gzip', 'compression_opts': 4} })
)
f.add_entry( DataExchangeEntry.data(theta={'value': theta, 'units':'degrees'}))
f.add_entry( DataExchangeEntry.data(theta_dark={'value': theta_dark, 'units':'degrees'}))
f.add_entry( DataExchangeEntry.data(theta_white={'value': theta_white, 'units':'degrees'}))
f.add_entry( DataExchangeEntry.data(data_shift_x={'value': data_shift_x}))
f.add_entry( DataExchangeEntry.data(data_shift_y={'value': data_shift_y}))
# Exchange HDF5 group
# /exchange_2
# this will be the out_put of the normalization process
f.add_entry( DataExchangeEntry.data(root='exchange_2', title={'value': 'tomography normalized projections'}) )
f.add_entry( DataExchangeEntry.data(root='exchange_2', data={'value': normalizeddata, 'units':'counts', 'axes':'theta:y:x',
'dataset_opts': {'compression': 'gzip', 'compression_opts': 4} })
)
f.add_entry( DataExchangeEntry.data(root='exchange_2', theta={'value': theta, 'units':'degrees'}))
# Exchange HDF5 group
# /exchange_3
# this will be the out_put of the reconstruction process
f.add_entry( DataExchangeEntry.data(root='exchange_3', title={'value': 'tomography reconstructions'}) )
f.add_entry( DataExchangeEntry.data(root='exchange_3', data={'value': reconstructeddata, 'units':'density', 'axes':'z:y:x',
'dataset_opts': {'compression': 'gzip', 'compression_opts': 4} })
)
# Create HDF5 group measurement
# /measuremen
f.add_entry( DataExchangeEntry.instrument(name={'value': 'APS 2-BM'}) )
# Create HDF5 subgroup
# /measurement/instrument/source
f.add_entry( DataExchangeEntry.source(name={'value': 'APS'},
date_time={'value': "2012-07-31T21:15:23+0600"},
beamline={'value': "2-BM"},
current={'value': 101.199, 'units': 'mA', 'dataset_opts': {'dtype': 'd'}},
energy={'value': 7.0, 'units':'GeV', 'dataset_opts': {'dtype': 'd'}},
mode={'value':'TOPUP'}
)
)
# Create HDF5 subgroup
# /measurement/instrument/attenuator
f.add_entry( DataExchangeEntry.attenuator(thickness={'value': 1e-3, 'units': 'm', 'dataset_opts': {'dtype': 'd'}},
type={'value': 'Al'}
)
)
# Create HDF5 subgroup
# /measurement/instrument/monochromator
f.add_entry( DataExchangeEntry.monochromator(type={'value': 'Multilayer'},
energy={'value': 19.26, 'units': 'keV', 'dataset_opts': {'dtype': 'd'}},
energy_error={'value': 1e-3, 'units': 'keV', 'dataset_opts': {'dtype': 'd'}},
mono_stripe={'value': 'Ru/C'},
)
)
# Create HDF5 subgroup
# /measurement/instrument/detector
f.add_entry( DataExchangeEntry.detector(manufacturer={'value':'CooKe Corporation'},
model={'value': 'pco dimax'},
serial_number={'value': '1234XW2'},
bit_depth={'value': 12, 'dataset_opts': {'dtype': 'd'}},
x_pixel_size={'value': 6.7e-6, 'dataset_opts': {'dtype': 'f'}},
y_pixel_size={'value': 6.7e-6, 'dataset_opts': {'dtype': 'f'}},
x_dimensions={'value': 2048, 'dataset_opts': {'dtype': 'i'}},
y_dimensions={'value': 2048, 'dataset_opts': {'dtype': 'i'}},
x_binning={'value': 1, 'dataset_opts': {'dtype': 'i'}},
y_binning={'value': 1, 'dataset_opts': {'dtype': 'i'}},
operating_temperature={'value': 270, 'units':'K', 'dataset_opts': {'dtype': 'f'}},
exposure_time={'value': 170, 'units':'ms', 'dataset_opts': {'dtype': 'd'}},
frame_rate={'value': 3, 'dataset_opts': {'dtype': 'i'}},
output_data={'value':'/exchange'}
)
)
f.add_entry( DataExchangeEntry.roi(name={'value':'Center Third'},
x1={'value':256, 'dataset_opts': {'dtype': 'i'}},
x2={'value':1792, 'dataset_opts': {'dtype': 'i'}},
y1={'value':256, 'dataset_opts': {'dtype': 'i'}},
y2={'value':1792, 'dataset_opts': {'dtype': 'i'}},
)
)
f.add_entry(DataExchangeEntry.objective(manufacturer={'value':'Zeiss'},
model={'value':'Plan-NEOFLUAR 1004-072'},
magnification={'value':20, 'dataset_opts': {'dtype': 'd'}},
numerical_aperture={'value':0.5, 'dataset_opts': {'dtype': 'd'}},
)
)
f.add_entry(DataExchangeEntry.scintillator(manufacturer={'value':'Crytur'},
serial_number={'value':'12'},
name={'value':'YAG polished'},
type={'value':'YAG on YAG'},
scintillating_thickness={'value':5e-6, 'dataset_opts': {'dtype': 'd'}},
substrate_thickness={'value':1e-4, 'dataset_opts': {'dtype': 'd'}},
)
)
# Create HDF5 subgroup
# /measurement/sample
f.add_entry( DataExchangeEntry.sample( name={'value':'Hornby_b'},
description={'value':'test sample'},
preparation_date={'value':'2011-07-31T21:15:23+0600'},
chemical_formula={'value':'unknown'},
mass={'value':0.25, 'units':'g', 'dataset_opts': {'dtype': 'd'}},
enviroment={'value':'air'},
temperature={'value':120.0, 'units':'Celsius', 'dataset_opts': {'dtype': 'd'}},
temperature_set={'value':130.0, 'units':'Celsius', 'dataset_opts': {'dtype': 'd'}},
)
)
# Create HDF5 subgroup
# /measurement/sample/geometry/translation
f.add_entry( DataExchangeEntry.translation(root='/measurement/sample/geometry',
distances={'value':[0,0,0],'axes':'z:y:x', 'units':'m', 'dataset_opts': {'dtype': 'd'}}
)
)
# Create HDF5 subgroup
# /measurement/experimenter
f.add_entry( DataExchangeEntry.experimenter(name={'value':"John Doe"},
role={'value':"Project PI"},
affiliation={'value':"University of California, Berkeley"},
address={'value':"EPS UC Berkeley CA 94720 4767 USA"},
phone={'value':"+1 123 456 0000"},
email={'value':"*****@*****.**"},
facility_user_id={'value':"a123456"},
)
)
# Create HDF5 subgroup
# /measurement/experiment
f.add_entry( DataExchangeEntry.experiment( proposal={'value':"1234"},
activity={'value':"e11218"},
safety={'value':"9876"},
)
)
# --- All done ---
f.close()
def main():
file_name = '/local/data/databank/TXM_26ID/20130731_004_Stripe_Solder_Sample_Tip1_TomoScript_181imgs_p1s_b1.txrm'
white_file_name = '/local/data/databank/TXM_26ID/20130731_001_Background_Reference_20imgs_p5s_b1.xrm'
hdf5_file_name = '/local/data/databank/dataExchange/TXM/20130731_004_Stripe_Solder_Sample_Tip1_nx.h5'
log_file = '/local/data/databank/dataExchange/TXM/20130731_004_Stripe_Solder_Sample_Tip1.log'
mydata = Convert()
# Create minimal hdf5 file
if verbose: print "Reading data ... "
mydata.stack(file_name,
hdf5_file_name=hdf5_file_name,
white_file_name=white_file_name,
sample_name='Stripe_Solder_Sample_Tip1')
# Add extra metadata if available / desired
reader = xradia.xrm()
array = dstruct
reader.read_txrm(file_name, array)
# Read angles
n_angles = np.shape(array.exchange.angles)
if verbose: print "Done reading ", n_angles, " angles"
theta = np.zeros(n_angles)
theta = array.exchange.angles[:]
# Save any other available metadata in a log file
f = open(log_file, 'w')
f.write('Data creation date: \n')
f.write(str(array.information.file_creation_datetime))
f.write('\n')
f.write('=======================================\n')
f.write('Sample name: \n')
f.write(str(array.information.sample.name))
f.write('\n')
f.write('=======================================\n')
f.write('Experimenter name: \n')
f.write(str(array.information.experimenter.name))
f.write('\n')
f.write('=======================================\n')
f.write('X-ray energy: \n')
f.write(str(array.exchange.energy))
f.write(str(array.exchange.energy_units))
f.write('\n')
f.write('=======================================\n')
f.write('Angles: \n')
f.write(str(array.exchange.angles))
f.write('\n')
f.write('=======================================\n')
f.write('Data axes: \n')
f.write(str(array.exchange.data_axes))
f.write('\n')
f.write('=======================================\n')
f.write('x distance: \n')
f.write(str(array.exchange.x))
f.write('\n')
f.write('=======================================\n')
f.write('x units: \n')
f.write(str(array.exchange.x_units))
f.write('\n')
f.write('=======================================\n')
f.write('y distance: \n')
f.write(str(array.exchange.y))
f.write('\n')
f.write('=======================================\n')
f.write('y units: \n')
f.write(str(array.exchange.y_units))
f.write('\n')
f.close()
# Open DataExchange file
f = DataExchangeFile(hdf5_file_name, mode='a')
# Create HDF5 subgroup
# /measurement/instrument
f.add_entry(DataExchangeEntry.instrument(name={'value': 'APS-CNM 26-ID'}))
### Create HDF5 subgroup
### /measurement/instrument/source
f.add_entry(
DataExchangeEntry.source(
name={'value': "Advanced Photon Source"},
date_time={'value': "2013-07-31T19:42:13+0100"},
beamline={'value': "26-ID"},
))
# Create HDF5 subgroup
# /measurement/instrument/monochromator
f.add_entry(
DataExchangeEntry.monochromator(
type={'value': 'Unknown'},
energy={
'value': float(array.exchange.energy[0]),
'units': 'keV',
'dataset_opts': {
'dtype': 'd'
}
},
mono_stripe={'value': 'Unknown'},
))
# Create HDF5 subgroup
# /measurement/experimenter
f.add_entry(
DataExchangeEntry.experimenter(
name={'value': "Robert Winarski"},
role={'value': "Project PI"},
))
# Create HDF5 subgroup
# /measurement/sample
f.add_entry(
DataExchangeEntry.data(theta={
'value': theta,
'units': 'degrees'
}))
f.close()
print "Done creating data exchange file: ", hdf5_file_name
def main():
# Petra III collects data over 360deg but in this data sets they had problem with the rotary
# stage stop moving . This happened after 180 deg so picking the first 180 deg are good to reconstruct.
# The 3 blocks below load only the good 180 deg
### ct2: pj: from 0 -> 3600; bf from 0 -> 20; df from 0 -> 20
##file_name = '/local/data/databank/PetraIII/ct2/ct2_.tif'
##dark_file_name = '/local/data/databank/PetraIII/ct2/df2b_.tif'
##white_file_name = '/local/data/databank/PetraIII/ct2/bf2b_.tif'
##hdf5_file_name = '/local/data/databank/dataExchange/microCT/PetraIII_ct2_180.h5'
##sample_name = 'ct2'
##
### ct2: Wheat root
### Sample measured at room temperature
##
##projections_start = 0
##projections_end = 1801
##white_start = 0
##white_end = 20
##white_step = 1
##dark_start = 0
##dark_end = 20
##dark_step = 1
### ct3: pj: from 0 -> 3601; bf from 20 -> 39; df from 0 -> 19
##file_name = '/local/data/databank/PetraIII/ct3/ct3_.tif'
##dark_file_name = '/local/data/databank/PetraIII/ct3/df_.tif'
##white_file_name = '/local/data/databank/PetraIII/ct3/bf_.tif'
##hdf5_file_name = '/local/data/databank/dataExchange/microCT/PetraIII_ct3_180.h5'
##sample_name = 'ct3'
##
### ct3: Wheat root
### Same sample as ct3 but measured at cryogenic condition
##
##projections_start = 0
##projections_end = 1801
##white_start = 20
##white_end = 40
##white_step = 1
##dark_start = 0
##dark_end = 20
##dark_step = 1
# ct4: pj: from 0 -> 1199; bf from 1 -> 18; df from 0 -> 19
file_name = '/local/data/databank/PetraIII/ct4/ct4_.tif'
dark_file_name = '/local/data/databank/PetraIII/ct4/df_ct4_.tif'
white_file_name = '/local/data/databank/PetraIII/ct4/bf_ct4_.tif'
hdf5_file_name = '/local/data/databank/dataExchange/microCT/PetraIII_ct4_180.h5'
sample_name = 'ct4'
# ct4: Leaf of rice
# Fresh sample measured at cryogenic condition
projections_start = 0
projections_end = 601
white_start = 1
white_end = 19
white_step = 1
dark_start = 0
dark_end = 20
dark_step = 1
##### if testing uncomment
##projections_start = 0
##projections_end = 5
##white_start = 0
##white_end = 5
##white_step = 1
##dark_start = 0
##dark_end = 5
##dark_step = 1
verbose = True
if verbose: print file_name
if verbose: print hdf5_file_name
if verbose: print sample_name
if verbose: print "Dark start, end", dark_start, dark_end
if verbose: print "White start, end", white_start, white_end
if verbose: print "Projections start, end", projections_start, projections_end
mydata = Convert()
# Create minimal hdf5 file
mydata.series_of_images(file_name,
hdf5_file_name,
projections_start,
projections_end,
# projections_angle_range=360,
white_file_name = white_file_name,
white_start = white_start,
white_end = white_end,
white_step = white_step,
dark_file_name = dark_file_name,
dark_start = dark_start,
dark_end = dark_end,
dark_step = dark_step,
sample_name = sample_name,
projections_digits = 5,
zeros = True,
verbose = False
)
# Add extra metadata if available
# Open DataExchange file
f = DataExchangeFile(hdf5_file_name, mode='a')
# Create HDF5 subgroup
# /measurement/instrument
f.add_entry( DataExchangeEntry.instrument(name={'value': 'Petra III'}) )
# Create HDF5 subgroup
# /measurement/instrument/source
f.add_entry( DataExchangeEntry.source(name={'value': 'Petra III'},
date_time={'value': "2011-25-05T19:42:13+0100"},
beamline={'value': "P06"},
)
)
# /measurement/experimenter
f.add_entry( DataExchangeEntry.experimenter(name={'value':"Walter Schroeder"},
role={'value':"Project PI"},
)
)
f.close()
if verbose: print "Done converting ", file_name
def main():
file_name = '/local/data/databank/TXM_26ID/Miller1/ABR_1SP_.tif'
#dark_file_name = '/local/data/databank/AS/Mayo_tooth_AS/BG__AFTER_.tif'
#white_file_name = '/local/data/databank/AS/Mayo_tooth_AS/BG__BEFORE_.tif'
hdf5_file_name = '/local/data/databank/dataExchange/TXM/TXM_APS26IDMiller1.h5'
sample_name = 'Teeth'
projections_start = 0
projections_end = 361
white_start = 0
white_end = 0
white_step = 1
dark_start = 0
dark_end = 0
dark_step = 1
verbose = True
if verbose: print "Input projection base name: ", file_name
#if verbose: print "Input white base name: ", white_file_name
#if verbose: print "Input dark base name: ", dark_file_name
if verbose: print "Output data exchange file name: ", hdf5_file_name
mydata = Convert()
# Create minimal hdf5 file
mydata.series_of_images(
file_name,
hdf5_file_name,
projections_start,
projections_end,
#white_file_name = white_file_name,
white_start=white_start,
white_end=white_end,
white_step=white_step,
#dark_file_name = dark_file_name,
#dark_start = dark_start,
#dark_end = dark_end,
#dark_step = dark_step,
#sample_name = sample_name,
projections_digits=4,
#white_digits = 2,
#dark_digits = 2,
projections_zeros=True,
verbose=False)
if verbose: print "Done reading data ... "
# Add extra metadata if available
# Open DataExchange file
f = DataExchangeFile(hdf5_file_name, mode='a')
# Create HDF5 subgroup
# /measurement/instrument
f.add_entry(
DataExchangeEntry.instrument(
name={'value': 'Australian Synchrotron Facility'}))
# Create HDF5 subgroup
# /measurement/instrument/source
f.add_entry(
DataExchangeEntry.source(
name={'value': 'Australian Synchrotron FacilityI'},
date_time={'value': "2013-10-19T22:22:13+0100"},
beamline={'value': "Tomography"},
))
# /measurement/experimenter
f.add_entry(
DataExchangeEntry.experimenter(
name={'value': "Sherry Mayo"},
role={'value': "Project PI"},
))
f.close()
if verbose: print "Done creating data exchange file: ", hdf5_file_name
def xtomo_exchange(self,
data,
data_white=None,
data_dark=None,
theta=None,
data_exchange_type=None,
source_name=None,
source_mode=None,
source_datetime=None,
beamline=None,
energy=None,
current=None,
actual_pixel_size=None,
experimenter_name=None,
experimenter_affiliation=None,
experimenter_email=None,
instrument_comment=None,
sample_name=None,
sample_comment=None,
acquisition_mode=None,
acquisition_comment=None,
sample_position_x=None,
sample_position_y=None,
sample_position_z=None,
sample_image_shift_x=None,
sample_image_shift_y=None,
hdf5_file_name=None,
axes='theta:y:x',
log='INFO'):
"""
Write 3-D data to a data-exchange file.
Parameters
data : ndarray
3-D X-ray absorption tomography raw data.
Size of the dimensions should be:
[projections, slices, pixels].
data_white, data_dark : ndarray, optional
3-D white-field/dark_field data. Multiple
projections are stacked together to obtain
a 3-D matrix. 2nd and 3rd dimensions should
be the same as data: [shots, slices, pixels].
theta : ndarray, optional
Data acquisition angles corresponding
to each projection.
data_excahnge_type : str, optional
label defyining the type of data contained in data exchange file
for raw data tomography data use 'tomography_raw_projections'
source_name, source_mode, source_datetime : str, optional
label defining the source name, operation mode and date/time when these values were taken
beamline : str, optional
label defining the beamline name
energy, current : float, optional
X-ray energy and bean current
actual_pixel_size : float, optional
pixel size on the sample plane
experimenter_name, experimenter_affiliation, experimenter_email : str, optional
user name, affiliation and e-mail address
instrument_comment : str, optional
instrument comment
sample_name, sample_comment : str, optional
sample name and comment
acquisition_mode, acquisition_comment : str, optional
acquisition mode and comment
hd5_file_name : str
Output file.
Notes
-----
If file exists, does nothing
Examples
- Convert tomographic projection series (raw, dark, white) of tiff in data exchange:
>>> import dataexchange
>>> file_name = '/local/dataraid/databank/Anka/radios/image_.tif'
>>> dark_file_name = '/local/dataraid/databank/Anka/darks/image_.tif'
>>> white_file_name = '/local/dataraid/databank/Anka/flats/image_.tif'
>>> hdf5_file_name = '/local/dataraid/databank/dataExchange/tmp/Anka.h5'
>>> projections_start = 0
>>> projections_end = 3167
>>> white_start = 0
>>> white_end = 100
>>> dark_start = 0
>>> dark_end = 100
>>> sample_name = 'Anka'
>>>
>>> # Read raw data
>>> read = dataexchange.Import()
>>> data, white, dark, theta = read.xtomo_raw(file_name,
>>> projections_start = projections_start,
>>> projections_end = projections_end,
>>> white_file_name = white_file_name,
>>> white_start = white_start,
>>> white_end = white_end,
>>> dark_file_name = dark_file_name,
>>> dark_start = dark_start,
>>> dark_end = dark_end,
>>> projections_digits = 5,
>>> log='INFO'
>>> )
>>>
>>> # Save data
>>> write = dataexchange.Export()
>>> write.xtomo_exchange(data = data,
>>> data_white = white,
>>> data_dark = dark,
>>> theta = theta,
>>> hdf5_file_name = hdf5_file_name,
>>> data_exchange_type = 'tomography_raw_projections',
>>> sample_name = sample_name
>>> )
"""
if (hdf5_file_name != None):
if os.path.isfile(hdf5_file_name):
self.logger.error("Data Exchange file: [%s] already exists",
hdf5_file_name)
else:
# Create new folder.
dirPath = os.path.dirname(hdf5_file_name)
if not os.path.exists(dirPath):
os.makedirs(dirPath)
# Get the file_name in lower case.
lFn = hdf5_file_name.lower()
# Split the string with the delimeter '.'
end = lFn.split('.')
# Write the Data Exchange HDF5 file.
# Open DataExchange file
f = DataExchangeFile(hdf5_file_name, mode='w')
self.logger.info("Creating Data Exchange File [%s]",
hdf5_file_name)
# Create core HDF5 dataset in exchange group for projections_theta_range
# deep stack of x,y images /exchange/data
self.logger.info(
"Adding projections to Data Exchange File [%s]",
hdf5_file_name)
f.add_entry(
DataExchangeEntry.data(
data={
'value': data,
'units': 'counts',
'description': 'transmission',
'axes': axes
}))
# f.add_entry( DataExchangeEntry.data(data={'value': data, 'units':'counts', 'description': 'transmission', 'axes':'theta:y:x', 'dataset_opts': {'compression': 'gzip', 'compression_opts': 4} }))
if (theta != None):
f.add_entry(
DataExchangeEntry.data(theta={
'value': theta,
'units': 'degrees'
}))
self.logger.info("Adding theta to Data Exchange File [%s]",
hdf5_file_name)
else:
self.logger.warning("theta is not defined")
if (data_dark != None):
self.logger.info(
"Adding dark fields to Data Exchange File [%s]",
hdf5_file_name)
f.add_entry(
DataExchangeEntry.data(
data_dark={
'value': data_dark,
'units': 'counts',
'axes': 'theta_dark:y:x'
}))
# f.add_entry( DataExchangeEntry.data(data_dark={'value': data_dark, 'units':'counts', 'axes':'theta_dark:y:x', 'dataset_opts': {'compression': 'gzip', 'compression_opts': 4} }))
else:
self.logger.warning("data dark is not defined")
if (data_white != None):
self.logger.info(
"Adding white fields to Data Exchange File [%s]",
hdf5_file_name)
f.add_entry(
DataExchangeEntry.data(
data_white={
'value': data_white,
'units': 'counts',
'axes': 'theta_white:y:x'
}))
# f.add_entry( DataExchangeEntry.data(data_white={'value': data_white, 'units':'counts', 'axes':'theta_white:y:x', 'dataset_opts': {'compression': 'gzip', 'compression_opts': 4} }))
else:
self.logger.warning("data white is not defined")
if (data_exchange_type != None):
self.logger.info(
"Adding data type to Data Exchange File [%s]",
hdf5_file_name)
f.add_entry(
DataExchangeEntry.data(
title={'value': data_exchange_type}))
if (source_name != None):
f.add_entry(
DataExchangeEntry.source(name={'value': source_name}))
if (source_mode != None):
f.add_entry(
DataExchangeEntry.source(mode={'value': source_mode}))
if (source_datetime != None):
f.add_entry(
DataExchangeEntry.source(
datetime={'value': source_datetime}))
if (beamline != None):
f.add_entry(
DataExchangeEntry.source(beamline={'value': beamline}))
if (energy != None):
f.add_entry(
DataExchangeEntry.monochromator(
energy={
'value': energy,
'units': 'keV',
'dataset_opts': {
'dtype': 'd'
}
}))
if (current != None):
f.add_entry(
DataExchangeEntry.source(
current={
'value': current,
'units': 'mA',
'dataset_opts': {
'dtype': 'd'
}
}))
if (actual_pixel_size != None):
f.add_entry(
DataExchangeEntry.detector(actual_pixel_size_x={
'value': actual_pixel_size,
'units': 'microns',
'dataset_opts': {
'dtype': 'd'
}
},
actual_pixel_size_y={
'value':
actual_pixel_size,
'units': 'microns',
'dataset_opts': {
'dtype': 'd'
}
}))
if (experimenter_name != None):
f.add_entry(
DataExchangeEntry.experimenter(
name={'value': experimenter_name}))
if (experimenter_affiliation != None):
f.add_entry(
DataExchangeEntry.experimenter(
affiliation={'value': experimenter_affiliation}))
if (experimenter_email != None):
f.add_entry(
DataExchangeEntry.experimenter(
email={'value': experimenter_email}))
if (instrument_comment != None):
f.add_entry(
DataExchangeEntry.instrument(
comment={'value': instrument_comment}))
if (sample_name == None):
sample_name = end[0]
f.add_entry(
DataExchangeEntry.sample(
name={'value': sample_name},
description={
'value':
'Sample name assigned by the HDF5 converter and based on the HDF5 file name'
}))
else:
f.add_entry(
DataExchangeEntry.sample(name={'value': sample_name}))
if (sample_comment != None):
f.add_entry(
DataExchangeEntry.sample(
comment={'value': sample_comment}))
if (acquisition_mode != None):
f.add_entry(
DataExchangeEntry.acquisition(
mode={'value': acquisition_mode}))
if (acquisition_comment != None):
f.add_entry(
DataExchangeEntry.acquisition(
comment={'value': acquisition_comment}))
if (sample_position_x != None):
f.add_entry(
DataExchangeEntry.acquisition(
sample_position_x={
'value': sample_position_x,
'units': 'microns',
'dataset_opts': {
'dtype': 'd'
}
}))
if (sample_position_y != None):
f.add_entry(
DataExchangeEntry.acquisition(
sample_position_y={
'value': sample_position_y,
'units': 'microns',
'dataset_opts': {
'dtype': 'd'
}
}))
if (sample_position_z != None):
f.add_entry(
DataExchangeEntry.acquisition(
sample_position_z={
'value': sample_position_z,
'units': 'microns',
'dataset_opts': {
'dtype': 'd'
}
}))
if (sample_image_shift_x != None):
f.add_entry(
DataExchangeEntry.acquisition(
sample_image_shift_x={
'value': sample_image_shift_x,
'units': 'microns',
'dataset_opts': {
'dtype': 'd'
}
}))
if (sample_image_shift_y != None):
f.add_entry(
DataExchangeEntry.acquisition(
sample_image_shift_y={
'value': sample_image_shift_y,
'units': 'microns',
'dataset_opts': {
'dtype': 'd'
}
}))
f.close()
self.logger.info("DONE!!!!. Created Data Exchange File [%s]",
hdf5_file_name)
else:
self.logger.warning("Nothing to do ...")
def main():
file_name = '/local/data/databank/TXM_26ID/20130731_004_Stripe_Solder_Sample_Tip1_TomoScript_181imgs_p1s_b1.txrm'
white_file_name = '/local/data/databank/TXM_26ID/20130731_001_Background_Reference_20imgs_p5s_b1.xrm'
hdf5_file_name = '/local/data/databank/dataExchange/TXM/20130731_004_Stripe_Solder_Sample_Tip1_nx.h5'
log_file = '/local/data/databank/dataExchange/TXM/20130731_004_Stripe_Solder_Sample_Tip1.log'
mydata = Convert()
# Create minimal hdf5 file
if verbose: print "Reading data ... "
mydata.stack(file_name,
hdf5_file_name = hdf5_file_name,
white_file_name = white_file_name,
sample_name = 'Stripe_Solder_Sample_Tip1'
)
# Add extra metadata if available / desired
reader = xradia.xrm()
array = dstruct
reader.read_txrm(file_name,array)
# Read angles
n_angles = np.shape(array.exchange.angles)
if verbose: print "Done reading ", n_angles, " angles"
theta = np.zeros(n_angles)
theta = array.exchange.angles[:]
# Save any other available metadata in a log file
f = open(log_file,'w')
f.write('Data creation date: \n')
f.write(str(array.information.file_creation_datetime))
f.write('\n')
f.write('=======================================\n')
f.write('Sample name: \n')
f.write(str(array.information.sample.name))
f.write('\n')
f.write('=======================================\n')
f.write('Experimenter name: \n')
f.write(str(array.information.experimenter.name))
f.write('\n')
f.write('=======================================\n')
f.write('X-ray energy: \n')
f.write(str(array.exchange.energy))
f.write(str(array.exchange.energy_units))
f.write('\n')
f.write('=======================================\n')
f.write('Angles: \n')
f.write(str(array.exchange.angles))
f.write('\n')
f.write('=======================================\n')
f.write('Data axes: \n')
f.write(str(array.exchange.data_axes))
f.write('\n')
f.write('=======================================\n')
f.write('x distance: \n')
f.write(str(array.exchange.x))
f.write('\n')
f.write('=======================================\n')
f.write('x units: \n')
f.write(str(array.exchange.x_units))
f.write('\n')
f.write('=======================================\n')
f.write('y distance: \n')
f.write(str(array.exchange.y))
f.write('\n')
f.write('=======================================\n')
f.write('y units: \n')
f.write(str(array.exchange.y_units))
f.write('\n')
f.close()
# Open DataExchange file
f = DataExchangeFile(hdf5_file_name, mode='a')
# Create HDF5 subgroup
# /measurement/instrument
f.add_entry( DataExchangeEntry.instrument(name={'value': 'APS-CNM 26-ID'}) )
### Create HDF5 subgroup
### /measurement/instrument/source
f.add_entry( DataExchangeEntry.source(name={'value': "Advanced Photon Source"},
date_time={'value': "2013-07-31T19:42:13+0100"},
beamline={'value': "26-ID"},
)
)
# Create HDF5 subgroup
# /measurement/instrument/monochromator
f.add_entry( DataExchangeEntry.monochromator(type={'value': 'Unknown'},
energy={'value': float(array.exchange.energy[0]), 'units': 'keV', 'dataset_opts': {'dtype': 'd'}},
mono_stripe={'value': 'Unknown'},
)
)
# Create HDF5 subgroup
# /measurement/experimenter
f.add_entry( DataExchangeEntry.experimenter(name={'value':"Robert Winarski"},
role={'value':"Project PI"},
)
)
# Create HDF5 subgroup
# /measurement/sample
f.add_entry( DataExchangeEntry.data(theta={'value': theta, 'units':'degrees'}))
f.close()
print "Done creating data exchange file: ", hdf5_file_name
def main():
##file_name = '/local/data/databank/APS_2_BM/Sam18_hornby/raw/Hornby_19keV_10x_.hdf'
##log_file = '/local/data/databank/APS_2_BM/Sam18_hornby/raw/Hornby.log'
##
##hdf5_file_name = '/local/data/databank/dataExchange/microCT/Hornby_APS_2011.h5'
file_name = '/local/data/databank/APS_2_BM/Sam19_blakely/raw/Blakely_19keV_10x_.hdf'
log_file = '/local/data/databank/APS_2_BM/Sam19_blakely/raw/Blakely.log'
hdf5_file_name = '/local/data/databank/dataExchange/microCT/Blakely_APS_2011.h5'
verbose = True
if verbose: print file_name
if verbose: print log_file
if verbose: print hdf5_file_name
#Read input SLS data
file = open(log_file, 'r')
if verbose: print '###############################'
for line in file:
if 'Number of darks' in line:
NumberOfDarks = re.findall(r'\d+', line)
if verbose: print 'Number of Darks', NumberOfDarks[0]
if 'Number of flats' in line:
NumberOfFlats = re.findall(r'\d+', line)
if verbose: print 'Number of Flats', NumberOfFlats[0]
if 'Number of projections' in line:
NumberOfProjections = re.findall(r'\d+', line)
if verbose: print 'Number of Projections', NumberOfProjections[0]
if 'Number of inter-flats' in line:
NumberOfInterFlats = re.findall(r'\d+', line)
if verbose: print 'Number of inter-flats', NumberOfInterFlats[0]
if 'Inner scan flag' in line:
InnerScanFlag = re.findall(r'\d+', line)
if verbose: print 'Inner scan flag', InnerScanFlag[0]
if 'Flat frequency' in line:
FlatFrequency = re.findall(r'\d+', line)
if verbose: print 'Flat frequency', FlatFrequency[0]
if 'Rot Y min' in line:
RotYmin = re.findall(r'\d+.\d+', line)
if verbose: print 'Rot Y min', RotYmin[0]
if 'Rot Y max' in line:
RotYmax = re.findall(r'\d+.\d+', line)
if verbose: print 'Rot Y max', RotYmax[0]
if 'Angular step' in line:
AngularStep = re.findall(r'\d+.\d+', line)
if verbose: print 'Angular step', AngularStep[0]
if verbose: print '###############################'
file.close()
dark_start = 1
dark_end = int(NumberOfDarks[0]) + 1
white_start = dark_end
white_end = white_start + int(NumberOfFlats[0])
projections_start = white_end
projections_end = projections_start + int(NumberOfProjections[0])
if verbose: print dark_start, dark_end
if verbose: print white_start, white_end
if verbose: print projections_start, projections_end
dark_start = 1504
dark_end = 1505
white_start = 1
white_end = 2
projections_start = 2
projections_end = 1503
### if testing uncomment
##dark_start = 1
##dark_end = 3
##white_start = 10
##white_end = 12
##projections_start = 20
##projections_end = 23
if verbose: print dark_start, dark_end
if verbose: print white_start, white_end
if verbose: print projections_start, projections_end
mydata = Convert()
# Create minimal hdf5 file
mydata.series_of_images(file_name,
hdf5_file_name,
projections_start,
projections_end,
white_start = white_start,
white_end = white_end,
dark_start = dark_start,
dark_end = dark_end,
projections_digits = 5,
data_type = 'hdf4',
#verbose = False
)
# Add extra metadata if available
# Open DataExchange file
f = DataExchangeFile(hdf5_file_name, mode='a')
# Create HDF5 subgroup
# /measurement/instrument
f.add_entry( DataExchangeEntry.instrument(name={'value': 'APS 2-BM'}) )
f.add_entry( DataExchangeEntry.source(name={'value': 'Advanced Photon Source'},
date_time={'value': "2012-07-31T21:15:23+0600"},
beamline={'value': "2-BM"},
current={'value': 101.199, 'units': 'mA', 'dataset_opts': {'dtype': 'd'}},
energy={'value': 7.0, 'units':'GeV', 'dataset_opts': {'dtype': 'd'}},
mode={'value':'TOPUP'}
)
)
# Create HDF5 subgroup
# /measurement/instrument/attenuator
f.add_entry( DataExchangeEntry.attenuator(thickness={'value': 1e-3, 'units': 'm', 'dataset_opts': {'dtype': 'd'}},
type={'value': 'Al'}
)
)
# Create HDF5 subgroup
# Create HDF5 subgroup
# /measurement/instrument/monochromator
f.add_entry( DataExchangeEntry.monochromator(type={'value': 'Multilayer'},
energy={'value': 19.26, 'units': 'keV', 'dataset_opts': {'dtype': 'd'}},
energy_error={'value': 1e-3, 'units': 'keV', 'dataset_opts': {'dtype': 'd'}},
mono_stripe={'value': 'Ru/C'},
)
)
# Create HDF5 subgroup
# /measurement/experimenter
f.add_entry( DataExchangeEntry.experimenter(name={'value':"Jane Waruntorn"},
role={'value':"Project PI"},
affiliation={'value':"University of California"},
facility_user_id={'value':"64924"},
)
)
f.add_entry(DataExchangeEntry.objective(manufacturer={'value':'Zeiss'},
model={'value':'Plan-NEOFLUAR 1004-072'},
magnification={'value':5, 'dataset_opts': {'dtype': 'd'}},
numerical_aperture={'value':0.5, 'dataset_opts': {'dtype': 'd'}},
)
)
f.add_entry(DataExchangeEntry.scintillator(manufacturer={'value':'Crytur'},
serial_number={'value':'12'},
name={'value':'LuAg '},
type={'value':'LuAg'},
scintillating_thickness={'value':50e-6, 'dataset_opts': {'dtype': 'd'}},
substrate_thickness={'value':50e-6, 'dataset_opts': {'dtype': 'd'}},
)
)
# Create HDF5 subgroup
# /measurement/experiment
f.add_entry( DataExchangeEntry.experiment( proposal={'value':"GUP-34353"},
activity={'value':"32-IDBC-2013-106491"},
safety={'value':"106491-49734"},
)
)
f.close()
if verbose: print "Done converting ", file_name
# Add extra metadata if available
# Open DataExchange file
f = DataExchangeFile(hdf5_file_name, mode='a')
# Create HDF5 subgroup
# /measurement/instrument
f.add_entry( DataExchangeEntry.instrument(name={'value': 'APS 1-ID Tomography'}) )
# Create HDF5 subgroup
# /measurement/instrument/source
f.add_entry( DataExchangeEntry.source(name={'value': 'Advanced Photon Source'},
date_time={'value': "2012-07-08T15:42:56+0100"},
beamline={'value': "1-ID"},
current={'value': 100.96, 'units': 'mA', 'dataset_opts': {'dtype': 'd'}},
)
)
# Create HDF5 subgroup
# /measurement/instrument/monochromator
f.add_entry( DataExchangeEntry.monochromator(type={'value': 'unknow'},
energy={'value': 65, 'units': 'keV', 'dataset_opts': {'dtype': 'd'}},
mono_stripe={'value': 'unknow'},
)
)
# Create HDF5 subgroup
# /measurement/experimenter
f.add_entry( DataExchangeEntry.experimenter(name={'value':"Peter Kenesei"},