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Plotter.py
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Plotter.py
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#-------------------------------------------------------------
# Driver for plotting several statistics
# Author: Pablo Villanueva Domingo
# Last update: 25/6/20
#-------------------------------------------------------------
import time, datetime
import glob
from Source.plot_routines import *
time_ini = time.time()
# Load the output files of the trained network
target_files = sorted(glob.glob(path_outputs+"Outputs"+suf+"/slice_target*"))
output_files = sorted(glob.glob(path_outputs+"Outputs"+suf+"/slice_output*"))
# Take a reduced set of files
num_testfiles = 100
target_files = target_files[:num_testfiles]
output_files = output_files[:num_testfiles]
numfiles = len(target_files)
if numfiles!=len(output_files):
print("Not the same number of targets and outputs!")
targets = np.empty((numfiles, DIM, DIM), dtype=np.float32)
outputs = np.empty((numfiles, DIM, DIM), dtype=np.float32)
for i, file in enumerate(target_files):
targets[i] = np.load(file)
for i, file in enumerate(output_files):
outputs[i] = np.load(file)
# Plot some 2D slices samples
for ind in [0,30,60,90]:
file_input = np.load(path_outputs+"Outputs"+suf+"/slice_input_"+str(ind)+".npy")
file_target = np.load(path_outputs+"Outputs"+suf+"/slice_target_"+str(ind)+".npy")
file_output = np.load(path_outputs+"Outputs"+suf+"/slice_output_"+str(ind)+".npy")
plot_slices(file_input,file_target,file_output,ind)
# Train and validation error plot_pdf
losses = np.loadtxt(path_outputs+"Losses"+suf+".dat",unpack=True)
loss_trend(losses[0],losses[1])
# Power spectrum
plot_powerspectrum(targets,outputs)
# PDF
plot_pdf(targets,outputs)
print("Finished. Time elapsed:",datetime.timedelta(seconds=time.time()-time_ini))