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The amplitude_mse function in losses.py has been modified to include a new optional parameter, normalization. When set to True, the loss is normalized by the sum of the simulated intensities. This change improves the flexibility and usability of the function. Add total_variation_loss for images
Update the poisson loss function to use xlogy and start work on the poisson + detector loss function
CDTools
CDTools is a python library for ptychography and CDI reconstructions, using an Automatic Differentiation based approach.
from matplotlib import pyplot as plt
from cdtools.datasets import Ptycho2DDataset
from cdtools.models import FancyPtycho
# Load a data file
dataset = Ptycho2DDataset.from_cxi('ptycho_data.cxi')
# Initialize a model from the data
model = FancyPtycho.from_dataset(dataset)
# Run a reconstruction
for loss in model.Adam_optimize(10, dataset):
print(model.report())
# Save the results
model.save_to_h5('ptycho_results.h5', dataset)
# And look at them!
model.inspect(dataset) # See the reconstructed object, probe, etc.
model.compare(dataset) # See how the simulated and measured patterns compare
plt.show()
Full installation instructions and documentation can be found here.
CDTools was developed in the photon scattering lab at MIT, and further development took place within the computational x-ray imaging group at PSI. The code is distributed under an MIT (a.k.a. Expat) license. If you would like to publish any work that uses CDTools, please contact Abe Levitan.
Have a wonderful day!
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