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import os
import time
import h5py
import numpy
from tomoscan.esrf.scan.nxtomoscan import NXtomoScan, ImageKey
proj_data = numpy.arange(1000, 1000 + 10 * 20 * 30).reshape(30, 10, 20)
proj_angle = numpy.linspace(0, 180, 30)
dark_value = 0.5
flat_value = 1
dark_data = numpy.ones((10, 20)) * dark_value
dark_angle = numpy.array(
[
0,
]
)
flat_data_1 = numpy.ones((10, 20)) * flat_value
flat_angle_1 = numpy.array(
[
0,
]
)
flat_data_2 = numpy.ones((10, 20)) * flat_value
flat_angle_2 = numpy.array(
[
90,
]
)
flat_data_3 = numpy.ones((10, 20)) * flat_value
flat_angle_3 = numpy.array(
[
180,
]
)
# data dataset
data = numpy.empty((34, 10, 20))
data[0] = dark_data
data[1] = flat_data_1
data[2:17] = proj_data[:15]
data[17] = flat_data_2
data[18:33] = proj_data[15:]
data[33] = flat_data_3
def create_arange_dataset(file_path):
if os.path.exists(file_path):
os.remove(file_path)
with h5py.File(file_path, mode="a") as h5f:
entry = h5f.require_group("entry0000")
# rotation angle
assert data.ndim == 3
entry["instrument/detector/data"] = data
rotation_angle = numpy.empty(34)
rotation_angle[0] = dark_angle
rotation_angle[1] = flat_angle_1
rotation_angle[2:17] = proj_angle[:15]
rotation_angle[17] = flat_angle_2
rotation_angle[18:33] = proj_angle[15:]
rotation_angle[33] = flat_angle_3
entry["sample/rotation_angle"] = rotation_angle
# image key / images keys
image_keys = []
image_keys.append(ImageKey.DARK_FIELD.value)
image_keys.append(ImageKey.FLAT_FIELD.value)
image_keys.extend([ImageKey.PROJECTION.value] * 15)
image_keys.append(ImageKey.FLAT_FIELD.value)
image_keys.extend([ImageKey.PROJECTION.value] * 15)
image_keys.append(ImageKey.FLAT_FIELD.value)
entry["instrument/detector/image_key"] = numpy.array(image_keys)
entry["instrument/detector/image_key_control"] = numpy.array(image_keys)
file_path = "test.h5"
create_arange_dataset(file_path)
scan = NXtomoScan(file_path, "entry0000")
assert len(scan.projections) == 30
assert len(scan.flats) == 3
assert len(scan.darks) == 1
scan.set_reduced_darks(
{
0: dark_data,
}
)
scan.set_reduced_flats(
{
1: flat_data_1,
17: flat_data_2,
33: flat_data_3,
}
)
scan._flats_weights = scan._get_flats_weights()
t0 = time.time()
sinogram_old = scan._get_sinogram_ref_imp(line=5)
print(f"execution time of the old implementation: {time.time() - t0}")
t0 = time.time()
sinogram_new = scan.get_sinogram(line=5)
print(f"execution time of the new implementation: {time.time() - t0}")
# plot the sinogram
from silx.gui import qt
from silx.gui.plot import Plot2D
app = qt.QApplication([])
plot_old = Plot2D()
plot_old.addImage(sinogram_old)
plot_old.setWindowTitle("old sinogram")
plot_old.show()
plot_new = Plot2D()
plot_new.addImage(sinogram_new)
plot_new.setWindowTitle("new sinogram")
plot_new.show()
raw_sinogram = proj_data[:, 5, :]
plot_raw = Plot2D()
plot_raw.addImage(raw_sinogram)
plot_raw.setWindowTitle("raw sinogram")
plot_raw.show()
# TODO: get the one from tomwer to compare as well
try:
from tomwer.core.scan.hdf5scan import NXtomoScan as TomwerNXtomoScan
except ImportError:
pass
else:
scan_t = TomwerNXtomoScan(file_path, "entry0000")
scan_t.set_reduced_darks(
{
0: dark_data,
}
)
scan_t.set_reduced_flats(
{
1: flat_data_1,
17: flat_data_2,
33: flat_data_3,
}
)
sinogram_tomwer = scan_t.get_sinogram(line=5)
plot_tomwer = Plot2D()
plot_tomwer.addImage(sinogram_tomwer)
plot_tomwer.setWindowTitle("tomwer sinogram")
plot_tomwer.show()
# TODO: check all lines of the sinogram
corrected = (raw_sinogram - dark_value) / (flat_value - dark_value)
numpy.testing.assert_array_equal(corrected, sinogram_old)
app.exec_()
|
