def __init__(self, Aponeurosises, fiber):
"""
Constructor
:param Aponeurosises: The position of the extremities of the aponeurosises
:type Aponeurosises: list of 2 tuple containing 2 QPoints each
:param fiber: The position of the extremities of a muscle fascicle
:type fiber: tuple containing 2 QPoints
"""
left0 = numpy.argsort(
numpy.asarray([Aponeurosises[0][0].x(),
Aponeurosises[0][1].x()]))[0]
left1 = numpy.argsort(
numpy.asarray([Aponeurosises[1][0].x(),
Aponeurosises[1][1].x()]))[0]
upperAponeurosis = numpy.argsort(
numpy.asarray(
[Aponeurosises[0][left0].y(), Aponeurosises[1][left1].y()]))[0]
lowerAponeurosis = numpy.argsort(
numpy.asarray(
[Aponeurosises[0][left0].y(), Aponeurosises[1][left1].y()]))[1]
self.treatmentsList = []
self.treatmentsList.append(
MainTreatments.AponeurosisTracker(
line=Aponeurosises[upperAponeurosis]))
self.treatmentsList.append(
MainTreatments.AponeurosisTracker(
line=Aponeurosises[lowerAponeurosis]))
self.treatmentsList.append(
MainTreatments.MuscleTracker2(lines=[
Aponeurosises[upperAponeurosis],
Aponeurosises[lowerAponeurosis]
],
fiber=fiber))
def __init__(self, Aponeurosises):
"""
Constructor
:param Aponeurosises: The position of the extremities of the aponeurosises
:type Aponeurosises: list of 2 tuple containing 2 QPoints each
"""
left0 = numpy.argsort(
numpy.asarray([Aponeurosises[0][0].x(),
Aponeurosises[0][1].x()]))[0]
left1 = numpy.argsort(
numpy.asarray([Aponeurosises[1][0].x(),
Aponeurosises[1][1].x()]))[0]
upperAponeurosis = numpy.argsort(
numpy.asarray(
[Aponeurosises[0][left0].y(), Aponeurosises[1][left1].y()]))[0]
lowerAponeurosis = numpy.argsort(
numpy.asarray(
[Aponeurosises[0][left0].y(), Aponeurosises[1][left1].y()]))[1]
self.treatmentsList = []
self.treatmentsList.append(
MainTreatments.AponeurosisTracker(
line=Aponeurosises[upperAponeurosis]))
self.treatmentsList.append(
MainTreatments.AponeurosisTracker(
line=Aponeurosises[lowerAponeurosis]))
self.treatmentsList.append(
MainTreatments.blobDetectionTreatment(lines=Aponeurosises))
def __init__(self, Aponeurosises, manySamples=False):
"""
Constructor
:param Aponeurosises: The position of the extremities of the aponeurosises
:type Aponeurosises: list of 2 tuple containing 2 QPoints each
:param manySamples: if True, use 3 samples instead of one but is three times slower
:type manySamples: bool
"""
left0 = numpy.argsort(
numpy.asarray([Aponeurosises[0][0].x(),
Aponeurosises[0][1].x()]))[0]
left1 = numpy.argsort(
numpy.asarray([Aponeurosises[1][0].x(),
Aponeurosises[1][1].x()]))[0]
upperAponeurosis = numpy.argsort(
numpy.asarray(
[Aponeurosises[0][left0].y(), Aponeurosises[1][left1].y()]))[0]
lowerAponeurosis = numpy.argsort(
numpy.asarray(
[Aponeurosises[0][left0].y(), Aponeurosises[1][left1].y()]))[1]
self.treatmentsList = []
self.treatmentsList.append(
MainTreatments.AponeurosisTracker(
line=Aponeurosises[upperAponeurosis]))
self.treatmentsList.append(
MainTreatments.AponeurosisTracker(
line=Aponeurosises[lowerAponeurosis]))
self.treatmentsList.append(
MainTreatments.testRadon(lines=Aponeurosises,
manyCircles=manySamples))