Initial snapshot: hand motion pipeline (Dyn-HaMR + dex-retargeting + SPIDER)
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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import numpy as np
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from Quaternions import Quaternions
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class Pivots:
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"""
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Pivots is an ndarray of angular rotations
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This wrapper provides some functions for
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working with pivots.
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These are particularly useful as a number
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of atomic operations (such as adding or
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subtracting) cannot be achieved using
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the standard arithmatic and need to be
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defined differently to work correctly
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"""
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def __init__(self, ps): self.ps = np.array(ps)
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def __str__(self): return "Pivots(" + str(self.ps) + ")"
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def __repr__(self): return "Pivots(" + repr(self.ps) + ")"
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def __add__(self, other): return Pivots(np.arctan2(np.sin(self.ps + other.ps), np.cos(self.ps + other.ps)))
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def __sub__(self, other): return Pivots(np.arctan2(np.sin(self.ps - other.ps), np.cos(self.ps - other.ps)))
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def __mul__(self, other): return Pivots(self.ps * other.ps)
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def __div__(self, other): return Pivots(self.ps / other.ps)
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def __mod__(self, other): return Pivots(self.ps % other.ps)
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def __pow__(self, other): return Pivots(self.ps ** other.ps)
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def __lt__(self, other): return self.ps < other.ps
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def __le__(self, other): return self.ps <= other.ps
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def __eq__(self, other): return self.ps == other.ps
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def __ne__(self, other): return self.ps != other.ps
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def __ge__(self, other): return self.ps >= other.ps
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def __gt__(self, other): return self.ps > other.ps
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def __abs__(self): return Pivots(abs(self.ps))
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def __neg__(self): return Pivots(-self.ps)
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def __iter__(self): return iter(self.ps)
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def __len__(self): return len(self.ps)
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def __getitem__(self, k): return Pivots(self.ps[k])
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def __setitem__(self, k, v): self.ps[k] = v.ps
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def _ellipsis(self): return tuple(map(lambda x: slice(None), self.shape))
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def quaternions(self, plane='xz'):
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fa = self._ellipsis()
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axises = np.ones(self.ps.shape + (3,))
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axises[fa + ("xyz".index(plane[0]),)] = 0.0
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axises[fa + ("xyz".index(plane[1]),)] = 0.0
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return Quaternions.from_angle_axis(self.ps, axises)
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def directions(self, plane='xz'):
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dirs = np.zeros((len(self.ps), 3))
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dirs[..., "xyz".index(plane[0])] = np.sin(self.ps)
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dirs[..., "xyz".index(plane[1])] = np.cos(self.ps)
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return dirs
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def normalized(self):
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xs = np.copy(self.ps)
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while np.any(xs > np.pi):
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xs[xs > np.pi] = xs[xs > np.pi] - 2 * np.pi
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while np.any(xs < -np.pi):
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xs[xs < -np.pi] = xs[xs < -np.pi] + 2 * np.pi
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return Pivots(xs)
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def interpolate(self, ws):
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dir = np.average(self.directions, weights=ws, axis=0)
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return np.arctan2(dir[2], dir[0])
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def copy(self):
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return Pivots(np.copy(self.ps))
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@property
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def shape(self):
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return self.ps.shape
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@classmethod
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def from_quaternions(cls, qs, forward='z', plane='xz'):
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ds = np.zeros(qs.shape + (3,))
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ds[..., 'xyz'.index(forward)] = 1.0
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return Pivots.from_directions(qs * ds, plane=plane)
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@classmethod
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def from_directions(cls, ds, plane='xz'):
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ys = ds[..., 'xyz'.index(plane[0])]
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xs = ds[..., 'xyz'.index(plane[1])]
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return Pivots(np.arctan2(ys, xs))
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