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))
def __init__(self, limits, firstApproximation):
"""
Constructor
:param limits: 2 points delimitating a rectangular region of interest
:type limits: Tuple of 2 QPoints
:param firstApproximation: First approximation of the center
:type firstApproximation: QPoint
:return: The processed image and a dictionnary containing the center of the junction extracted (the key is the channel name)
:rtype: Tuple
"""
self.treatment = MainTreatments.seamCarving(limits, firstApproximation)
def __init__(self, limits, firstApproximation): """ Constructor :param limits: 2 points delimitating a rectangular region of interest :type limits: Tuple of 2 QPoints :param firstApproximation: First approximation of the center :type firstApproximation: QPoint :return: The processed image and a dictionnary containing the center of the junction extracted (the key is the channel name) :rtype: Tuple """ self.treatment = MainTreatments.seamCarving(limits, firstApproximation)
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))
