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33 lines
943 B
Python
33 lines
943 B
Python
from __future__ import division, print_function, absolute_import
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import CDTools
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from matplotlib import pyplot as plt
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import pickle
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filename = 'example_data/lab_ptycho_data.cxi'
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dataset = CDTools.datasets.Ptycho2DDataset.from_cxi(filename)
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dataset.inspect(units='mm')
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plt.show()
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model = CDTools.models.FancyPtycho.from_dataset(dataset, oversampling=2,
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probe_support_radius=90,
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n_modes=2,
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dm_rank=0,units='mm')
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model.to(device='cuda')
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dataset.get_as(device='cuda')
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model.translation_offsets.requires_grad = False
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for i, loss in enumerate(model.Adam_optimize(50, dataset)):
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model.inspect(dataset)
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print(i,loss)
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model.tidy_probes()
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exit()
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with open('example_reconstructions/lab_ptycho.pickle', 'wb') as f:
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pickle.dump(model.save_results(dataset),f)
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model.compare(dataset)
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plt.show()
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