if 'image' in metrichash:
kpiimage = metrichash['image']
else:
kpiimage = "None"
if 'imageflip' in metrichash:
kpiimageflip = metrichash['imageflip']
else:
kpiimageflip = "None"
if individualImages:
HideAll()
Show(dataReader, renderView1)
if kpiimage != "None" and kpiimage != "" and kpiimage != "plot":
pvutils.adjustCamera(kpiimage, renderView1, metrichash,
kpiimageflip)
print(kpi)
if 'extractStats' in metrichash:
extractStats = data_IO.str2bool(metrichash['extractStats'])
else:
extractStats = True
ave = []
if kpitype == "Slice":
d = pvutils.createSlice(metrichash, dataReader, readerDisplay,
individualImages)
elif kpitype == "Clip":
d = pvutils.createClip(metrichash, dataReader, readerDisplay,
individualImages)
fp_csv_metrics.write(",".join(['metric', 'ave', 'min', 'max']) + "\n")
renderView1.InteractionMode = '2D'
for kpi in kpihash:
kpitype = kpihash[kpi]['type'].split("_")[0]
kpifield_comp = kpihash[kpi]['field']
try:
kpiimage = kpihash[kpi]['image'].split("_")[0]
except:
kpiimage = "None"
if individualImages:
HideAll()
Show(solveExo, renderView1)
if kpiimage != "None" and kpiimage != "" and kpiimage != "plot":
pvutils.adjustCamera(kpiimage, renderView1)
print(kpi)
if kpitype == "Slice":
d = pvutils.createSlice(kpi, kpihash, solveExo, solveDisplay,
individualImages)
elif kpitype == "Clip":
d = pvutils.createClip(kpi, kpihash, solveExo, solveDisplay,
individualImages)
elif kpitype == "Probe":
d = pvutils.createProbe(kpi, kpihash, solveExo)
elif kpitype == "Line":
d, ave = pvutils.createLine(kpi, kpihash, solveExo, outputDir)
elif kpitype == "Volume":
d = pvutils.createVolume(kpi, kpihash, solveExo)