def test_boundary_penalty(self):
data = self.generate_data([16, 16, 16]) * 100
# instead of showing just test results
#app = QApplication(sys.argv)
#pyed = seed_editor_qt.QTSeedEditor(data)
#app.exec_()
import scipy.ndimage.filters
#filtered = scipy.ndimage.filters.prewitt(data,0)
filtered = scipy.ndimage.filters.sobel(data, 0)
#filtered = scipy.ndimage.filters.gaussian_filter1d(data,sigma=0.6,axis=0, order=1)
# Oproti Boykov2001b tady nedělím dvojkou. Ta je tam jen proto,
# aby to slušně vycházelo
filtered2 = (-np.power(filtered, 2) / (512 * np.var(data)))
# Přičítám tu 1024 což je empiricky zjištěná hodnota - aby to dobře vyšlo
filtered2 = filtered2 + 0 # - np.min(filtered2) + 1e-30
print('max ', np.max(filtered2))
print('min ', np.min(filtered2))
import pdb
pdb.set_trace()
#np.exp(-np.random.normal(0
from PyQt4.QtGui import QApplication
app = QApplication(sys.argv)
pyed = seed_editor_qt.QTSeedEditor(filtered2)
app.exec_()
filtered3 = np.exp(filtered2)
pyed = seed_editor_qt.QTSeedEditor(filtered3)
app.exec_()
import matplotlib.pyplot as plt
plt.imshow(filtered3[:, :, 5])
plt.colorbar()
plt.show()
def manualcrop(data): # pragma: no cover
try:
from pysegbase import seed_editor_qt
except:
logger.warning("Deprecated of pyseg_base as submodule")
import seed_editor_qt
pyed = seed_editor_qt.QTSeedEditor(data, mode='crop')
pyed.exec_()
# pyed = sed3.sed3(data)
# pyed.show()
nzs = pyed.seeds.nonzero()
crinfo = [
[np.min(nzs[0]), np.max(nzs[0])],
[np.min(nzs[1]), np.max(nzs[1])],
[np.min(nzs[2]), np.max(nzs[2])],
]
data = crop(data, crinfo)
return data, crinfo
def cropDcm(self):
pyed = seed_editor_qt.QTSeedEditor(self.data3d, mode='crop')
pyed.exec_()
pass