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63 lines
2.0 KiB
Python
63 lines
2.0 KiB
Python
from __future__ import division, print_function, absolute_import
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import numpy as np
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import torch as t
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from matplotlib import pyplot as plt
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import pickle
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import argparse
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from CDTools.tools import cmath, plotting
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from CDTools.tools.analysis import *
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def make_argparser():
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parser = argparse.ArgumentParser(description=__doc__)
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parser.add_argument('file', help='The reconstruction file to calculate metrics for')
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parser.add_argument('--use-probe', '-up', action='store_true', help='Use the probe instead of the object to align the reconstructions')
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return parser
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if __name__ == '__main__':
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args = make_argparser().parse_args()
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with open(args.file, 'rb') as f:
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dataset = pickle.load(f)
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synth_probe, synth_obj, aligned_objs = synthesize_reconstructions(
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dataset['probe'], dataset['obj'], args.use_probe)
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print(dataset['basis'])
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print(synth_probe.shape)
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freqs, prtf = calc_consistency_prtf(synth_obj, aligned_objs, dataset['basis'])
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plotting.plot_phase(synth_probe,basis=dataset['basis'])
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plotting.plot_amplitude(synth_probe,basis=dataset['basis'])
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plotting.plot_colorized(synth_probe,basis=dataset['basis'])
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try:
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plotting.plot_phase(synth_probe[1],basis=dataset['basis'])
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plotting.plot_amplitude(synth_probe[1],basis=dataset['basis'])
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plotting.plot_colorized(synth_probe[1],basis=dataset['basis'])
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except:
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pass
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plotting.plot_amplitude(synth_obj,basis=dataset['basis'])
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plotting.plot_colorized(synth_obj,basis=dataset['basis'])
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plotting.plot_phase(synth_obj,basis=dataset['basis'])
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plt.figure()
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try:
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real_translations = dataset['basis'].dot(dataset['translation'][0].transpose())
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real_translations -= np.min(real_translations,axis=1)[:,None]
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real_translations = real_translations.transpose()
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plotting.plot_translations(real_translations)
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plt.figure()
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except:
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pass
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plt.plot(freqs*1e-6, prtf)
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plt.show()
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