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Copy pathEPRIImageDump.py
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Copy pathEPRIImageDump.py
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238 lines (168 loc) · 5.96 KB
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import _pickle as pickle
import numpy as np
import matplotlib.pylab as plt
from os import listdir
ndtcmap = pickle.load(open('/Users/jlesage/Dropbox/Eclipse/ndtcolourmap.p','rb'))
# pth = '/Volumes/STORAGE/EPRI/'
pth = '/Users/jlesage/Dropbox/Eclipse/EPRI/'
holes = pickle.load(open(pth+'HolePositions.p','rb'))
data = pickle.load(open(pth+'CorrectedScans.p','rb'))
k = list(data.keys())
# print(k)
k = [kk for kk in k if (kk.split('-')[-1]=='Upstream')] #&(kk.split('-')[1]=='PAUT')]
# for kk in k:
#
# K = kk.split('-')
#
# if (K[0]=='B1')&(K[2]=='Ref'):
#
# Iu = data[kk][0][0::2,0::2]
#
# Id = data['-'.join(K[0:-1])+'-Downstream'][0][0::2,0::2]
#
# Iref1u = np.amax(Iu[10::,10:-10])
#
# Iref1d = np.amax(Id[10::,10:-10])
#
# #
# #
# #
# # Iref1u = np.amax(data[kk][0][20::,20:-20])
# #
# # Iref1d = np.amax(data['-'.join(K[0:-1])+'-Downstream'][0][20::,20:-20])
# #
# # print(Iref1d)
#
# fig,ax = plt.subplots(nrows=2)
#
#
# ax[0].imshow(Iu/Iref1u,cmap=ndtcmap, vmin=0., vmax=1.,extent=[0.,255.,1.85*25.4,0.])
#
#
# ax[0].scatter(holes['Block1'][0], holes['Block1'][1], facecolor='none', edgecolor='m')
#
# ax[1].imshow(Id/Iref1d,cmap=ndtcmap, vmin=0., vmax=1., extent=[0.,255.,1.85*25.4,0.])
#
#
# ax[1].scatter(holes['Block1'][0], holes['Block1'][1], facecolor='none', edgecolor='m')
#
# ax[0].set_xlim((0.,255.))
#
# ax[0].set_ylim((25.4*1.85,0.))
#
# ax[1].set_xlim((0.,255.))
#
# ax[1].set_ylim((25.4*1.85,0.))
#
# ax[0].set_xlabel('X (mm)')
# ax[0].set_ylabel('Y (mm)')
#
# ax[0].set_title('Upstream Scan')
#
# ax[1].set_xlabel('X (mm)')
# ax[1].set_ylabel('Y (mm)')
#
# ax[1].set_title('Downstream Scan')
#
#
# fig.savefig(pth+'Phase2Images/'+'-'.join(kk.split('-')[0:-1])+'.png', dpi=250, bbox='tight', bbox_inches='tight', pad_inches=0)
#
#
# plt.close()
#
# elif (K[0]=='B2')&(K[2]=='Ref'):
#
# Iu = data[kk][0][0::2,0::2]
#
# Id = data['-'.join(K[0:-1])+'-Downstream'][0][0::2,0::2]
#
# Iref2u = np.amax(Iu[10::,10:-10])
#
# Iref2d = np.amax(Id[10::,10:-10])
#
# fig,ax = plt.subplots(nrows=2)
#
# ax[0].imshow(Iu/Iref2u,cmap=ndtcmap, extent=[0.,305.,2.0*25.4,0.],vmin=0.,vmax=1.)
#
# ax[0].scatter(holes['Block2'][0], holes['Block2'][1], facecolor='none', edgecolor='m')
#
# ax[1].imshow(Id/Iref2d,cmap=ndtcmap, vmin=0., vmax=1.,extent=[0.,305.,2.0*25.4,0.])
#
# ax[1].scatter(holes['Block2'][0], holes['Block2'][1], facecolor='none', edgecolor='m')
#
# ax[0].set_xlim((0.,305.))
#
# ax[0].set_ylim((25.4*2.0,0.))
#
# ax[1].set_xlim((0.,305.))
#
# ax[1].set_ylim((25.4*2.0,0.))
#
# ax[0].set_xlabel('X (mm)')
# ax[0].set_ylabel('Y (mm)')
#
# ax[0].set_title('Upstream Scan')
#
# ax[1].set_xlabel('X (mm)')
# ax[1].set_ylabel('Y (mm)')
#
# ax[1].set_title('Downstream Scan')
#
#
#
#
# fig.savefig(pth+'Phase2Images/'+'-'.join(kk.split('-')[0:-1])+'.png', dpi=250,bbox='tight', bbox_inches='tight', pad_inches=0)
#
#
# plt.close()
for kk in k:
K = kk.split('-')
if (K[0]=='B2')&(K[2]!='Ref'):
print(kk)
Iu = data[kk][0][0::2,0::2]
Id = data['-'.join(K[0:-1])+'-Downstream'][0][0::2,0::2]
Iuref2 = np.amax(Iu[60::,:])
Idref2 = np.amax(Id[60::,:])
fig,ax = plt.subplots(nrows=2)
ax[0].imshow(Iu/Iuref2,cmap=ndtcmap, vmin=0., vmax=1.,extent=[0.,305.,2.0*25.4,-45.])
# ax[0].imshow(data[kk][0],cmap=ndtcmap, extent=[0.,305.,2.0*25.4,-45.])
ax[0].scatter(holes['Block2'][0], holes['Block2'][1], facecolor='none', edgecolor='m')
ax[1].imshow(Id/Idref2,cmap=ndtcmap, vmin=0., vmax=1.,extent=[0.,305.,2.0*25.4,-45.])
# ax[1].imshow(data['-'.join(K[0:-1])+'-Downstream'][0],cmap=ndtcmap, extent=[0.,305.,2.0*25.4,-45.])
ax[1].scatter(holes['Block2'][0], holes['Block2'][1], facecolor='none', edgecolor='m')
ax[0].set_xlim((0.,305.))
ax[0].set_ylim((25.4*2.0,-10.))
ax[1].set_xlim((0.,305.))
ax[1].set_ylim((25.4*2.0,-10.))
ax[0].set_xlabel('X (mm)')
ax[0].set_ylabel('Y (mm)')
ax[0].set_title('Upstream Scan')
ax[1].set_xlabel('X (mm)')
ax[1].set_ylabel('Y (mm)')
ax[1].set_title('Downstream Scan')
fig.savefig(pth+'Phase2Images/Unnormalized/'+'-'.join(kk.split('-')[0:-1])+'.png', dpi=250, bbox='tight', bbox_inches='tight', pad_inches=0)
plt.close()
elif (K[0]=='B1')&(K[2]!='Ref'):
Iu = data[kk][0][0::2,0::2]
Id = data['-'.join(K[0:-1])+'-Downstream'][0][0::2,0::2]
Iuref1 = np.amax(Iu[60::,:])
Idref1 = np.amax(Id[60::,:])
fig,ax = plt.subplots(nrows=2)
ax[0].imshow(Iu/Iuref1,cmap=ndtcmap, vmin=0., vmax=1.,extent=[0.,255.,1.85*25.4,-45.])
# ax[0].imshow(data[kk][0],cmap=ndtcmap, extent=[0.,255.,1.85*25.4,-45.])
ax[0].scatter(holes['Block1'][0], holes['Block1'][1], facecolor='none', edgecolor='m')
ax[1].imshow(Id/Idref1,cmap=ndtcmap, vmin=0., vmax=1.,extent=[0.,255.,1.85*25.4,-45.])
# ax[1].imshow(data['-'.join(K[0:-1])+'-Downstream'][0],cmap=ndtcmap, extent=[0.,255.,1.85*25.4,-45.])
ax[1].scatter(holes['Block1'][0], holes['Block1'][1], facecolor='none', edgecolor='m')
ax[0].set_xlim((0.,255.))
ax[0].set_ylim((25.4*1.85,-10.))
ax[1].set_xlim((0.,255.))
ax[1].set_ylim((25.4*1.85,-10.))
ax[0].set_xlabel('X (mm)')
ax[0].set_ylabel('Y (mm)')
ax[0].set_title('Upstream Scan')
ax[1].set_xlabel('X (mm)')
ax[1].set_ylabel('Y (mm)')
ax[1].set_title('Downstream Scan')
fig.savefig(pth+'Phase2Images/Unnormalized/'+'-'.join(kk.split('-')[0:-1])+'.png', dpi=250, bbox='tight', bbox_inches='tight', pad_inches=0)
plt.close()