[trackingdata] implementation of bendedness
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@ -175,12 +175,11 @@ class TrackingData(QObject):
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bodyaxis = [0, 1, 2, 5]
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bodycoords = self.coordinates()[:, bodyaxis, :]
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head_tail_vector = bodycoords[:, -1, :] - bodycoords[:, 0, :]
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head_tail_length = np.linalg.norm(head_tail_vector, axis=1, keepdims=True)
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normalized_head_tail_vector = head_tail_vector / head_tail_length
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projections = np.einsum('ijk,ij->ik', bodycoords - bodycoords[:, 0, np.newaxis, :], normalized_head_tail_vector)
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distances = np.linalg.norm(bodycoords - (bodycoords[:, 0, np.newaxis, :] + projections[:, :, np.newaxis] * normalized_head_tail_vector[:, np.newaxis, :]), axis=2)
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deviation = np.mean(distances, axis=1)
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head_tail_vector = head_tail_vector[:, np.newaxis ,:] # cross-product only defined in space, not in 2D
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head_tail_length = np.linalg.norm(head_tail_vector, axis=1, keepdims=True) # pythagoras, length of head- tail connection
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point_axis_vectors = bodycoords - head_tail_vector
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deviations = np.cross(head_tail_vector, point_axis_vectors)/head_tail_length
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deviation = np.mean(deviations, axis=1)
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return deviation
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def __getitem__(self, key):
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@ -237,7 +236,8 @@ def main():
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lengths = data.animalLength()
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frames = data["frame"]
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tracks = data["track"]
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bendedness = data.bendedness()
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# bendedness = data.bendedness()
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embed()
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tracks = data["track"]
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