mirror of
https://github.com/cdtools-developers/cdtools.git
synced 2026-09-11 22:12:38 +02:00
40 lines
1.1 KiB
Python
40 lines
1.1 KiB
Python
from __future__ import division, print_function, absolute_import
|
|
|
|
import CDTools
|
|
from matplotlib import pyplot as plt
|
|
import pickle
|
|
|
|
filename = 'example_data/lab_ptycho_data.cxi'
|
|
dataset = CDTools.datasets.Ptycho2DDataset.from_cxi(filename)
|
|
|
|
# dataset.inspect()
|
|
# plt.show()
|
|
|
|
#model = CDTools.models.UnifiedModePtycho.from_dataset(dataset, oversampling=2,n_modes=3)#, probe_support_radius=90)
|
|
model = CDTools.models.UnifiedModePtycho2.from_dataset(dataset, oversampling=1,n_modes=3)#, probe_support_radius=90)
|
|
#model = CDTools.models.FancyPtycho.from_dataset(dataset, oversampling=1)
|
|
|
|
model.to(device='cuda')
|
|
dataset.get_as(device='cuda')
|
|
|
|
|
|
model.translation_offsets.requires_grad = False
|
|
for i, loss in enumerate(model.Adam_optimize(100, dataset)):
|
|
model.inspect(dataset)
|
|
print(i,loss)
|
|
|
|
model.tidy_probes()
|
|
|
|
for i, loss in enumerate(model.Adam_optimize(20, dataset, lr=0.0001)):
|
|
model.inspect(dataset)
|
|
print(i,loss)
|
|
|
|
model.tidy_probes()
|
|
model.inspect(dataset)
|
|
|
|
with open('example_reconstructions/unified_modes.pickle', 'wb') as f:
|
|
pickle.dump(model.save_results(dataset),f)
|
|
|
|
model.compare(dataset)
|
|
plt.show()
|