vectorized
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@ -629,28 +629,38 @@ class Rotation:
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This formulation is from www.euclideanspace.com/maths/geometry/rotations/conversions/matrixToQuaternion.
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This formulation is from www.euclideanspace.com/maths/geometry/rotations/conversions/matrixToQuaternion.
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The original formulation had issues.
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The original formulation had issues.
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"""
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"""
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def x(a):
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trace = om[...,0,0:1]+om[...,1,1:2]+om[...,2,2:3]
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trace = a[0,0] + a[1,1] + a[2,2]
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if trace > 0:
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with np.errstate(invalid='ignore',divide='ignore'):
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s = 0.5 / np.sqrt(trace+ 1.0)
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s = [
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qu = np.array([0.25 / s,( a[2,1] - a[1,2] ) * s,( a[0,2] - a[2,0] ) * s,( a[1,0] - a[0,1] ) * s])
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0.5 / np.sqrt( 1.0 + trace),
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else:
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2.0 * np.sqrt( 1.0 + om[...,0,0:1] - om[...,1,1:2] - om[...,2,2:3]),
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if ( a[0,0] > a[1,1] and a[0,0] > a[2,2] ):
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2.0 * np.sqrt( 1.0 + om[...,1,1:2] - om[...,2,2:3] - om[...,0,0:1]),
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s = 2.0 * np.sqrt( 1.0 + a[0,0] - a[1,1] - a[2,2])
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2.0 * np.sqrt( 1.0 + om[...,2,2:3] - om[...,0,0:1] - om[...,1,1:2] )
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qu = np.array([ (a[2,1] - a[1,2]) / s,0.25 * s,(a[0,1] + a[1,0]) / s,(a[0,2] + a[2,0]) / s])
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]
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elif (a[1,1] > a[2,2]):
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qu= np.where(trace>0,
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s = 2.0 * np.sqrt( 1.0 + a[1,1] - a[0,0] - a[2,2])
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np.block([0.25 / s[0],
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qu = np.array([ (a[0,2] - a[2,0]) / s,(a[0,1] + a[1,0]) / s,0.25 * s,(a[1,2] + a[2,1]) / s])
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(om[...,2,1:2] - om[...,1,2:3] ) * s[0],
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else:
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(om[...,0,2:3] - om[...,2,0:1] ) * s[0],
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s = 2.0 * np.sqrt( 1.0 + a[2,2] - a[0,0] - a[1,1] )
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(om[...,1,0:1] - om[...,0,1:2] ) * s[0]]),
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qu = np.array([ (a[1,0] - a[0,1]) / s,(a[0,2] + a[2,0]) / s,(a[1,2] + a[2,1]) / s,0.25 * s])
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np.where(om[...,0,0:1] > np.maximum(om[...,1,1:2],om[...,2,2:3]),
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np.block([(om[...,2,1:2] - om[...,1,2:3]) / s[1],
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0.25 * s[1],
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(om[...,0,1:2] + om[...,1,0:1]) / s[1],
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(om[...,0,2:3] + om[...,2,0:1]) / s[1]]),
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np.where(om[...,1,1:2] > om[...,2,2:3],
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np.block([(om[...,0,2:3] - om[...,2,0:1]) / s[2],
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(om[...,0,1:2] + om[...,1,0:1]) / s[2],
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0.25 * s[2],
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(om[...,1,2:3] + om[...,2,1:2]) / s[2]]),
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np.block([(om[...,1,0:1] - om[...,0,1:2]) / s[3],
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(om[...,0,2:3] + om[...,2,0:1]) / s[3],
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(om[...,1,2:3] + om[...,2,1:2]) / s[3],
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0.25 * s[3]]),
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)
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)
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)*np.array([1,_P,_P,_P])
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return qu
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return qu
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if len(om.shape) > 2:
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om_ = om.reshape(-1,3,3)
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qu = np.array([x(o) for o in om_]).reshape(om.shape[:-2]+(4,))
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else:
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qu = x(om)
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return qu*np.array([1,_P,_P,_P])
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@staticmethod
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@staticmethod
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def om2eu(om):
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def om2eu(om):
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