mirror of
https://github.com/cdtools-developers/cdtools.git
synced 2026-09-11 14:02:38 +02:00
43 lines
1.0 KiB
Python
43 lines
1.0 KiB
Python
from __future__ import division, print_function, absolute_import
|
|
|
|
import CDTools
|
|
from CDTools.tools import cmath
|
|
from CDTools.tools.plotting import *
|
|
import h5py
|
|
import torch as t
|
|
import numpy as np
|
|
from matplotlib import pyplot as plt
|
|
import pickle
|
|
|
|
|
|
#filename = '../../Downloads/114429_p.cxi'
|
|
#filename = '../../../Projects/CSX_3_19/cxis/processed/114429_p.cxi'
|
|
filename = '../../../Projects/CSX_3_19/cxis/processed/115145_p.cxi'
|
|
#filename = '../../Desktop/Reconstructions/114429_p.cxi'
|
|
|
|
|
|
with h5py.File(filename,'r') as f:
|
|
dataset = CDTools.datasets.Ptycho_2D_Dataset.from_cxi(f)
|
|
|
|
|
|
model = CDTools.models.SimplePtycho.from_dataset(dataset)
|
|
|
|
# Uncomment these to use on the CPU
|
|
# default is CPU with 32-bit floats
|
|
model.to(device='cpu')
|
|
#dataset.to(device='cuda')
|
|
dataset.get_as(device='cpu')
|
|
|
|
for i, loss in enumerate(model.ePIE(10, dataset)):
|
|
print(i, loss)
|
|
|
|
for i, loss in enumerate(model.Adam_optimize(10, dataset)):
|
|
print(i, loss)
|
|
|
|
model.inspect()
|
|
|
|
#with open('test_results.pickle', 'wb') as f:
|
|
# pickle.dump(model.save_results(),f)
|
|
|
|
plt.show()
|