From 9018fd4ba0aa2dcee4888753910e3842084ef3cd Mon Sep 17 00:00:00 2001 From: brentyi Date: Mon, 6 May 2024 18:06:20 +0000 Subject: [PATCH] deploy: 6340183b7801f6dc76af73010d1526b62303e1b4 --- .doctrees/environment.pickle | Bin 17656402 -> 17814713 bytes .doctrees/transforms.doctree | Bin 707321 -> 826676 bytes _modules/viser/infra/_infra/index.html | 12 +- _modules/viser/transforms/_base/index.html | 24 +-- _modules/viser/transforms/_se2/index.html | 16 +- _modules/viser/transforms/_se3/index.html | 16 +- _modules/viser/transforms/_so2/index.html | 10 +- _modules/viser/transforms/_so3/index.html | 27 +++- transforms/index.html | 180 +++++++++++---------- 9 files changed, 150 insertions(+), 135 deletions(-) diff --git a/.doctrees/environment.pickle b/.doctrees/environment.pickle index f0a9378cba2b3a7f7a3569a7673a706939bae0dc..173fa2eefe2a491648625a03014b88fe7ddaa33c 100644 GIT binary patch delta 687818 zcmb4McR*Fg($6_4h@g~6-6h+-smEe|U 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z#id`7AUwq-LBi}6RF|J^>J>{%XnA?VshGQh>S91JwTSML)Bs5fSy~ZL(&-p**{qwd zP9~w~@dL%N*(#_y+2t;%K8qwIfL+-#e>DlhBlFZ+qzbA#Xb45+*T}H+QKxY(hg*7E zBqagM;Rr-PdR+;Y+euKNBAf~x>@-Q)d~+96?;(i^;af;S^{xFvF`bzJyJZg07eyBL zL_zf%%*^=}x3i$?b`{DlsD6&*nobj?D^r5zi&6U!xX%ElRB}V|TohED>{BZizZ%x0 zl!B@}I-`4%{Jm&T0LH4YYPglMzu#G zzNi4mKh?Ug$wir{a2^7K92HLdT92C@M$)XfB~6F^3g^kzoPO1doEI-ksWANfkLn7r z#0n>B31@|q^UI*!TM@dX2*CnC+NCyNQWee{ih#X72cP2$;NcP~oOzh+uW&YtkQ>P5 zj0)$Ai-5kZJWi)9yy1WAspmYb_R8}ci;x@0Y2|Md70&k-LEzo9$Zy+qFU)dZh4Y~z z6bqIIRX86l4gjJgqr!<`b(;adrz)I|XV!R3pfYUsAmuQ+JGj=yt25Rd4U9NehNeBR zQ1To0Xergq-&(x#8#v7ic?t)Gdm#s~`$C1onRu1fw~EULY%!OQM2VH7R=^0#`PaCN zsF%!Tqlzh%hVh*u?W8=U$;##i92CxNRjzdTO2#{r)T6LP?8@dvxo{Pg&1Yq-gzhC} zSnrfg@kNb6y6)Tz#6U!tD4m`CoZPUuF1bXBR2Qb_csItrQ`0$uMbYnpR;E1SLB=eP=G$o(2nXzorM`>L04u5`9q?QuiBiB#%t9vyg#2==m;%z z)M!SdEl40YnzgZLGC2b>6kWaxF4d2!?RIq<4o|?<>~KN*3b-=;)Kg9wjLv`)K2f6+ zO^(AGFvf5ae3QoBebXIB$1xX`^0gZDPZ z$5*s@m!X*0I5>1wnV4(3<}6G2w6jO6bOPlLSte=L=Gbb@VcJ$*U!kLl?}tFBEMIzc zsf^QbBIuF}2mF;(En!sYjmFm%r^z@sW#gfCn>*?rh+l)k%rEIWT_E91=VwRIMjS`S zcFjEG%GmA}9F!o8Hk8cguXg)&X^UufunK=d;Ggm?UYQGX5$U}Q22nA$9_eM|!!!I6 zJ-$Q5=S+vcn4yE2ApOdD{8o2a9T71Mv3!SjS%dt0QKvEfV;JVoMY~;ze59EdY1y
 from asyncio.events import AbstractEventLoop
 from concurrent.futures import ThreadPoolExecutor
 from pathlib import Path
-from typing import (
-    Any,
-    Callable,
-    Dict,
-    List,
-    NewType,
-    Optional,
-    Tuple,
-    Type,
-    TypeVar,
-)
+from typing import Any, Callable, Dict, List, NewType, Optional, Tuple, Type, TypeVar
 
 import msgpack
 import rich
diff --git a/_modules/viser/transforms/_base/index.html b/_modules/viser/transforms/_base/index.html
index 857e81db3..4306a5af0 100644
--- a/_modules/viser/transforms/_base/index.html
+++ b/_modules/viser/transforms/_base/index.html
@@ -301,22 +301,26 @@ 

Source code for viser.transforms._base

     # Shared implementations.
 
     @overload
-    def __matmul__(self, other: Self) -> Self: ...
+    def __matmul__(self, other: Self) -> Self:
+        ...
 
     @overload
-    def __matmul__(self, other: hints.Array) -> onpt.NDArray[onp.floating]: ...
+    def __matmul__(
+        self, other: onpt.NDArray[onp.floating]
+    ) -> onpt.NDArray[onp.floating]:
+        ...
 
 
[docs] def __matmul__( - self, other: Union[Self, hints.Array] + self, other: Union[Self, onpt.NDArray[onp.floating]] ) -> Union[Self, onpt.NDArray[onp.floating]]: """Overload for the `@` operator. Switches between the group action (`.apply()`) and multiplication (`.multiply()`) based on the type of `other`. """ - if isinstance(other, (onp.ndarray, onp.ndarray)): + if isinstance(other, onp.ndarray): return self.apply(target=other) elif isinstance(other, MatrixLieGroup): assert self.space_dim == other.space_dim @@ -346,7 +350,7 @@

Source code for viser.transforms._base

 [docs]
     @classmethod
     @abc.abstractmethod
-    def from_matrix(cls, matrix: hints.Array) -> Self:
+    def from_matrix(cls, matrix: onpt.NDArray[onp.floating]) -> Self:
         """Get group member from matrix representation.
 
         Args:
@@ -378,7 +382,7 @@ 

Source code for viser.transforms._base

 
[docs] @abc.abstractmethod - def apply(self, target: hints.Array) -> onpt.NDArray[onp.floating]: + def apply(self, target: onpt.NDArray[onp.floating]) -> onpt.NDArray[onp.floating]: """Applies group action to a point. Args: @@ -404,7 +408,7 @@

Source code for viser.transforms._base

 [docs]
     @classmethod
     @abc.abstractmethod
-    def exp(cls, tangent: hints.Array) -> Self:
+    def exp(cls, tangent: onpt.NDArray[onp.floating]) -> Self:
         """Computes `expm(wedge(tangent))`.
 
         Args:
@@ -523,7 +527,7 @@ 

Source code for viser.transforms._base

     def from_rotation_and_translation(
         cls,
         rotation: ContainedSOType,
-        translation: hints.Array,
+        translation: onpt.NDArray[onp.floating],
     ) -> Self:
         """Construct a rigid transform from a rotation and a translation.
 
@@ -554,7 +558,7 @@ 

Source code for viser.transforms._base

 [docs]
     @final
     @classmethod
-    def from_translation(cls, translation: hints.Array) -> Self:
+    def from_translation(cls, translation: onpt.NDArray[onp.floating]) -> Self:
         # Extract rotation class from type parameter.
         assert len(cls.__orig_bases__) == 1  # type: ignore
         return cls.from_rotation_and_translation(
@@ -583,7 +587,7 @@ 

Source code for viser.transforms._base

 [docs]
     @final
     @override
-    def apply(self, target: hints.Array) -> onpt.NDArray[onp.floating]:
+    def apply(self, target: onpt.NDArray[onp.floating]) -> onpt.NDArray[onp.floating]:
         return self.rotation() @ target + self.translation()  # type: ignore
diff --git a/_modules/viser/transforms/_se2/index.html b/_modules/viser/transforms/_se2/index.html index 068ff9206..f4314ab02 100644 --- a/_modules/viser/transforms/_se2/index.html +++ b/_modules/viser/transforms/_se2/index.html @@ -281,6 +281,8 @@

Source code for viser.transforms._se2

     """Special Euclidean group for proper rigid transforms in 2D. Broadcasting
     rules are the same as for numpy.
 
+    Ported to numpy from `jaxlie.SE2`.
+
     Internal parameterization is `(cos, sin, x, y)`. Tangent parameterization is `(vx,
     vy, omega)`.
     """
@@ -288,7 +290,7 @@ 

Source code for viser.transforms._se2

     # SE2-specific.
 
     unit_complex_xy: onpt.NDArray[onp.floating]
-    """Internal parameters. `(cos, sin, x, y)`. Shape should be `(*, 3)`."""
+    """Internal parameters. `(cos, sin, x, y)`. Shape should be `(*, 4)`."""
 
     @override
     def __repr__(self) -> str:
@@ -302,7 +304,7 @@ 

Source code for viser.transforms._se2

     def from_xy_theta(x: hints.Scalar, y: hints.Scalar, theta: hints.Scalar) -> "SE2":
         """Construct a transformation from standard 2D pose parameters.
 
-        Note that this is not the same as integrating over a length-3 twist.
+        This is not the same as integrating over a length-3 twist.
         """
         cos = onp.cos(theta)
         sin = onp.sin(theta)
@@ -318,7 +320,7 @@ 

Source code for viser.transforms._se2

     def from_rotation_and_translation(
         cls,
         rotation: SO2,
-        translation: hints.Array,
+        translation: onpt.NDArray[onp.floating],
     ) -> "SE2":
         assert translation.shape[-1:] == (2,)
         rotation, translation = broadcast_leading_axes((rotation, translation))
@@ -361,7 +363,7 @@ 

Source code for viser.transforms._se2

 [docs]
     @classmethod
     @override
-    def from_matrix(cls, matrix: hints.Array) -> "SE2":
+    def from_matrix(cls, matrix: onpt.NDArray[onp.floating]) -> "SE2":
         assert matrix.shape[-2:] == (3, 3)
         # Currently assumes bottom row is [0, 0, 1].
         return SE2.from_rotation_and_translation(
@@ -407,7 +409,7 @@ 

Source code for viser.transforms._se2

 [docs]
     @classmethod
     @override
-    def exp(cls, tangent: hints.Array) -> "SE2":
+    def exp(cls, tangent: onpt.NDArray[onp.floating]) -> "SE2":
         # Reference:
         # > https://github.com/strasdat/Sophus/blob/a0fe89a323e20c42d3cecb590937eb7a06b8343a/sophus/se2.hpp#L558
         # Also see:
@@ -419,7 +421,7 @@ 

Source code for viser.transforms._se2

         use_taylor = onp.abs(theta) < get_epsilon(tangent.dtype)
 
         # Shim to avoid NaNs in onp.where branches, which cause failures for
-        # reverse-mode AD.
+        # reverse-mode AD in JAX. This isn't needed for vanilla numpy.
         safe_theta = cast(
             onp.ndarray,
             onp.where(
@@ -479,7 +481,7 @@ 

Source code for viser.transforms._se2

         use_taylor = onp.abs(cos_minus_one) < get_epsilon(theta.dtype)
 
         # Shim to avoid NaNs in onp.where branches, which cause failures for
-        # reverse-mode AD.
+        # reverse-mode AD in JAX. This isn't needed for vanilla numpy.
         safe_cos_minus_one = onp.where(
             use_taylor,
             onp.ones_like(cos_minus_one),  # Any non-zero value should do here.
diff --git a/_modules/viser/transforms/_se3/index.html b/_modules/viser/transforms/_se3/index.html
index acc1873c5..8f441a333 100644
--- a/_modules/viser/transforms/_se3/index.html
+++ b/_modules/viser/transforms/_se3/index.html
@@ -265,12 +265,12 @@ 

Source code for viser.transforms._se3

 import numpy.typing as onpt
 from typing_extensions import override
 
-from . import _base, hints
+from . import _base
 from ._so3 import SO3
 from .utils import broadcast_leading_axes, get_epsilon, register_lie_group
 
 
-def _skew(omega: hints.Array) -> onpt.NDArray[onp.floating]:
+def _skew(omega: onpt.NDArray[onp.floating]) -> onpt.NDArray[onp.floating]:
     """Returns the skew-symmetric form of a length-3 vector."""
 
     wx, wy, wz = onp.moveaxis(omega, -1, 0)
@@ -294,6 +294,8 @@ 

Source code for viser.transforms._se3

     """Special Euclidean group for proper rigid transforms in 3D. Broadcasting
     rules are the same as for numpy.
 
+    Ported to numpy from `jaxlie.SE3`.
+
     Internal parameterization is `(qw, qx, qy, qz, x, y, z)`. Tangent parameterization
     is `(vx, vy, vz, omega_x, omega_y, omega_z)`.
     """
@@ -318,7 +320,7 @@ 

Source code for viser.transforms._se3

     def from_rotation_and_translation(
         cls,
         rotation: SO3,
-        translation: hints.Array,
+        translation: onpt.NDArray[onp.floating],
     ) -> SE3:
         assert translation.shape[-1:] == (3,)
         rotation, translation = broadcast_leading_axes((rotation, translation))
@@ -357,7 +359,7 @@ 

Source code for viser.transforms._se3

 [docs]
     @classmethod
     @override
-    def from_matrix(cls, matrix: hints.Array) -> SE3:
+    def from_matrix(cls, matrix: onpt.NDArray[onp.floating]) -> SE3:
         assert matrix.shape[-2:] == (4, 4)
         # Currently assumes bottom row is [0, 0, 0, 1].
         return SE3.from_rotation_and_translation(
@@ -392,7 +394,7 @@ 

Source code for viser.transforms._se3

 [docs]
     @classmethod
     @override
-    def exp(cls, tangent: hints.Array) -> SE3:
+    def exp(cls, tangent: onpt.NDArray[onp.floating]) -> SE3:
         # Reference:
         # > https://github.com/strasdat/Sophus/blob/a0fe89a323e20c42d3cecb590937eb7a06b8343a/sophus/se3.hpp#L761
 
@@ -405,7 +407,7 @@ 

Source code for viser.transforms._se3

         use_taylor = theta_squared < get_epsilon(theta_squared.dtype)
 
         # Shim to avoid NaNs in onp.where branches, which cause failures for
-        # reverse-mode AD.
+        # reverse-mode AD in JAX. This isn't needed for vanilla numpy.
         theta_squared_safe = cast(
             onp.ndarray,
             onp.where(
@@ -452,7 +454,7 @@ 

Source code for viser.transforms._se3

         skew_omega = _skew(omega)
 
         # Shim to avoid NaNs in onp.where branches, which cause failures for
-        # reverse-mode AD.
+        # reverse-mode AD in JAX. This isn't needed for vanilla numpy.
         theta_squared_safe = onp.where(
             use_taylor,
             onp.ones_like(theta_squared),  # Any non-zero value should do here.
diff --git a/_modules/viser/transforms/_so2/index.html b/_modules/viser/transforms/_so2/index.html
index c873eed7f..c0a0a02fb 100644
--- a/_modules/viser/transforms/_so2/index.html
+++ b/_modules/viser/transforms/_so2/index.html
@@ -280,7 +280,9 @@ 

Source code for viser.transforms._so2

 @dataclasses.dataclass(frozen=True)
 class SO2(_base.SOBase):
     """Special orthogonal group for 2D rotations. Broadcasting rules are the
-    same as for `numpy`.
+    same as for numpy.
+
+    Ported to numpy from `jaxlie.SO2`.
 
     Internal parameterization is `(cos, sin)`. Tangent parameterization is `(omega,)`.
     """
@@ -331,7 +333,7 @@ 

Source code for viser.transforms._so2

 [docs]
     @classmethod
     @override
-    def from_matrix(cls, matrix: hints.Array) -> SO2:
+    def from_matrix(cls, matrix: onpt.NDArray[onp.floating]) -> SO2:
         assert matrix.shape[-2:] == (2, 2)
         return SO2(unit_complex=onp.asarray(matrix[..., :, 0]))
@@ -368,7 +370,7 @@

Source code for viser.transforms._so2

 
[docs] @override - def apply(self, target: hints.Array) -> onpt.NDArray[onp.floating]: + def apply(self, target: onpt.NDArray[onp.floating]) -> onpt.NDArray[onp.floating]: assert target.shape[-1:] == (2,) self, target = broadcast_leading_axes((self, target)) return onp.einsum("...ij,...j->...i", self.as_matrix(), target)
@@ -389,7 +391,7 @@

Source code for viser.transforms._so2

 [docs]
     @classmethod
     @override
-    def exp(cls, tangent: hints.Array) -> SO2:
+    def exp(cls, tangent: onpt.NDArray[onp.floating]) -> SO2:
         assert tangent.shape[-1] == 1
         cos = onp.cos(tangent)
         sin = onp.sin(tangent)
diff --git a/_modules/viser/transforms/_so3/index.html b/_modules/viser/transforms/_so3/index.html
index 46c7ec6f5..9ae01e6fb 100644
--- a/_modules/viser/transforms/_so3/index.html
+++ b/_modules/viser/transforms/_so3/index.html
@@ -269,6 +269,15 @@ 

Source code for viser.transforms._so3

 from .utils import broadcast_leading_axes, get_epsilon, register_lie_group
 
 
+@dataclasses.dataclass(frozen=True)
+class RollPitchYaw:
+    """Struct containing roll, pitch, and yaw Euler angles."""
+
+    roll: onpt.NDArray[onp.floating]
+    pitch: onpt.NDArray[onp.floating]
+    yaw: onpt.NDArray[onp.floating]
+
+
 
[docs] @register_lie_group( @@ -282,6 +291,8 @@

Source code for viser.transforms._so3

     """Special orthogonal group for 3D rotations. Broadcasting rules are the same as
     for numpy.
 
+    Ported to numpy from `jaxlie.SO3`.
+
     Internal parameterization is `(qw, qx, qy, qz)`. Tangent parameterization is
     `(omega_x, omega_y, omega_z)`.
     """
@@ -371,7 +382,7 @@ 

Source code for viser.transforms._so3

 
 
     @staticmethod
-    def from_quaternion_xyzw(xyzw: hints.Array) -> SO3:
+    def from_quaternion_xyzw(xyzw: onpt.NDArray[onp.floating]) -> SO3:
         """Construct a rotation from an `xyzw` quaternion.
 
         Note that `wxyz` quaternions can be constructed using the default dataclass
@@ -396,13 +407,13 @@ 

Source code for viser.transforms._so3

 
 
[docs] - def as_rpy_radians(self) -> hints.RollPitchYaw: + def as_rpy_radians(self) -> RollPitchYaw: """Computes roll, pitch, and yaw angles. Uses the ZYX mobile robot convention. Returns: Named tuple containing Euler angles in radians. """ - return hints.RollPitchYaw( + return RollPitchYaw( roll=self.compute_roll_radians(), pitch=self.compute_pitch_radians(), yaw=self.compute_yaw_radians(), @@ -464,7 +475,7 @@

Source code for viser.transforms._so3

 [docs]
     @classmethod
     @override
-    def from_matrix(cls, matrix: hints.Array) -> SO3:
+    def from_matrix(cls, matrix: onpt.NDArray[onp.floating]) -> SO3:
         assert matrix.shape[-2:] == (3, 3)
 
         # Modified from:
@@ -603,7 +614,7 @@ 

Source code for viser.transforms._so3

 
[docs] @override - def apply(self, target: hints.Array) -> onpt.NDArray[onp.floating]: + def apply(self, target: onpt.NDArray[onp.floating]) -> onpt.NDArray[onp.floating]: assert target.shape[-1:] == (3,) self, target = broadcast_leading_axes((self, target)) @@ -637,7 +648,7 @@

Source code for viser.transforms._so3

 [docs]
     @classmethod
     @override
-    def exp(cls, tangent: hints.Array) -> SO3:
+    def exp(cls, tangent: onpt.NDArray[onp.floating]) -> SO3:
         # Reference:
         # > https://github.com/strasdat/Sophus/blob/a0fe89a323e20c42d3cecb590937eb7a06b8343a/sophus/so3.hpp#L583
 
@@ -648,7 +659,7 @@ 

Source code for viser.transforms._so3

         use_taylor = theta_squared < get_epsilon(tangent.dtype)
 
         # Shim to avoid NaNs in onp.where branches, which cause failures for
-        # reverse-mode AD.
+        # reverse-mode AD in JAX. This isn't needed for vanilla numpy.
         safe_theta = onp.sqrt(
             onp.where(
                 use_taylor,
@@ -693,7 +704,7 @@ 

Source code for viser.transforms._so3

         use_taylor = norm_sq < get_epsilon(norm_sq.dtype)
 
         # Shim to avoid NaNs in onp.where branches, which cause failures for
-        # reverse-mode AD.
+        # reverse-mode AD in JAX. This isn't needed for vanilla numpy.
         norm_safe = onp.sqrt(
             onp.where(
                 use_taylor,
diff --git a/transforms/index.html b/transforms/index.html
index 58c95d0f3..94faa6e99 100644
--- a/transforms/index.html
+++ b/transforms/index.html
@@ -297,7 +297,7 @@ 

Transforms __matmul__(other: Self) Self[source]#
-__matmul__(other: ndarray) ndarray[Any, dtype[floating]]
+__matmul__(other: ndarray[Any, dtype[floating]]) ndarray[Any, dtype[floating]]

Overload for the @ operator.

Switches between the group action (.apply()) and multiplication (.multiply()) based on the type of other.

@@ -322,11 +322,11 @@

Transforms
-abstract classmethod from_matrix(matrix: ndarray) Self[source]#
+abstract classmethod from_matrix(matrix: ndarray[Any, dtype[floating]]) Self[source]#

Get group member from matrix representation.

Parameters:
-

matrix (ndarray) – Matrix representaiton.

+

matrix (ndarray[Any, dtype[floating]]) – Matrix representaiton.

Returns:

Group member.

@@ -361,11 +361,11 @@

Transforms
-abstract apply(target: ndarray) ndarray[Any, dtype[floating]][source]#
+abstract apply(target: ndarray[Any, dtype[floating]]) ndarray[Any, dtype[floating]][source]#

Applies group action to a point.

Parameters:
-

target (ndarray) – Point to transform.

+

target (ndarray[Any, dtype[floating]]) – Point to transform.

Returns:

Transformed point.

@@ -395,11 +395,11 @@

Transforms
-abstract classmethod exp(tangent: ndarray) Self[source]#
+abstract classmethod exp(tangent: ndarray[Any, dtype[floating]]) Self[source]#

Computes expm(wedge(tangent)).

Parameters:
-

tangent (ndarray) – Tangent vector to take the exponential of.

+

tangent (ndarray[Any, dtype[floating]]) – Tangent vector to take the exponential of.

Returns:

Output.

@@ -497,13 +497,13 @@

Transforms
-abstract classmethod from_rotation_and_translation(rotation: ContainedSOType, translation: ndarray) Self[source]#
+abstract classmethod from_rotation_and_translation(rotation: ContainedSOType, translation: ndarray[Any, dtype[floating]]) Self[source]#

Construct a rigid transform from a rotation and a translation.

Parameters:
  • rotation (ContainedSOType) – Rotation term.

  • -
  • translation (ndarray) – translation term.

  • +
  • translation (ndarray[Any, dtype[floating]]) – translation term.

Returns:
@@ -530,10 +530,10 @@

Transforms
-classmethod from_translation(translation: ndarray) Self[source]#
+classmethod from_translation(translation: ndarray[Any, dtype[floating]]) Self[source]#
Parameters:
-

translation (ndarray) –

+

translation (ndarray[Any, dtype[floating]]) –

Return type:

Self

@@ -543,13 +543,13 @@

Transforms
-__matmul__(other: Self | ndarray) Self | ndarray[Any, dtype[floating]]#
+__matmul__(other: Self | ndarray[Any, dtype[floating]]) Self | ndarray[Any, dtype[floating]]#

Overload for the @ operator.

Switches between the group action (.apply()) and multiplication (.multiply()) based on the type of other.

Parameters:
-

other (Self | ndarray) –

+

other (Self | ndarray[Any, dtype[floating]]) –

Return type:

Self | ndarray[Any, dtype[floating]]

@@ -591,11 +591,11 @@

Transforms
-abstract classmethod exp(tangent: ndarray) Self#
+abstract classmethod exp(tangent: ndarray[Any, dtype[floating]]) Self#

Computes expm(wedge(tangent)).

Parameters:
-

tangent (ndarray) – Tangent vector to take the exponential of.

+

tangent (ndarray[Any, dtype[floating]]) – Tangent vector to take the exponential of.

Returns:

Output.

@@ -608,11 +608,11 @@

Transforms
-abstract classmethod from_matrix(matrix: ndarray) Self#
+abstract classmethod from_matrix(matrix: ndarray[Any, dtype[floating]]) Self#

Get group member from matrix representation.

Parameters:
-

matrix (ndarray) – Matrix representaiton.

+

matrix (ndarray[Any, dtype[floating]]) – Matrix representaiton.

Returns:

Group member.

@@ -726,11 +726,11 @@

Transforms
-apply(target: ndarray) ndarray[Any, dtype[floating]][source]#
+apply(target: ndarray[Any, dtype[floating]]) ndarray[Any, dtype[floating]][source]#

Applies group action to a point.

Parameters:
-

target (ndarray) – Point to transform.

+

target (ndarray[Any, dtype[floating]]) – Point to transform.

Returns:

Transformed point.

@@ -795,13 +795,13 @@

Transforms
-__matmul__(other: Self | ndarray) Self | ndarray[Any, dtype[floating]]#
+__matmul__(other: Self | ndarray[Any, dtype[floating]]) Self | ndarray[Any, dtype[floating]]#

Overload for the @ operator.

Switches between the group action (.apply()) and multiplication (.multiply()) based on the type of other.

Parameters:
-

other (Self | ndarray) –

+

other (Self | ndarray[Any, dtype[floating]]) –

Return type:

Self | ndarray[Any, dtype[floating]]

@@ -832,11 +832,11 @@

Transforms
-abstract apply(target: ndarray) ndarray[Any, dtype[floating]]#
+abstract apply(target: ndarray[Any, dtype[floating]]) ndarray[Any, dtype[floating]]#

Applies group action to a point.

Parameters:
-

target (ndarray) – Point to transform.

+

target (ndarray[Any, dtype[floating]]) – Point to transform.

Returns:

Transformed point.

@@ -860,11 +860,11 @@

Transforms
-abstract classmethod exp(tangent: ndarray) Self#
+abstract classmethod exp(tangent: ndarray[Any, dtype[floating]]) Self#

Computes expm(wedge(tangent)).

Parameters:
-

tangent (ndarray) – Tangent vector to take the exponential of.

+

tangent (ndarray[Any, dtype[floating]]) – Tangent vector to take the exponential of.

Returns:

Output.

@@ -877,11 +877,11 @@

Transforms
-abstract classmethod from_matrix(matrix: ndarray) Self#
+abstract classmethod from_matrix(matrix: ndarray[Any, dtype[floating]]) Self#

Get group member from matrix representation.

Parameters:
-

matrix (ndarray) – Matrix representaiton.

+

matrix (ndarray[Any, dtype[floating]]) – Matrix representaiton.

Returns:

Group member.

@@ -1024,25 +1024,26 @@

TransformsSEBase[SO2]

Special Euclidean group for proper rigid transforms in 2D. Broadcasting rules are the same as for numpy.

+

Ported to numpy from jaxlie.SE2.

Internal parameterization is (cos, sin, x, y). Tangent parameterization is (vx, vy, omega).

unit_complex_xy: ndarray[Any, dtype[floating]]#
-

Internal parameters. (cos, sin, x, y). Shape should be (*, 3).

+

Internal parameters. (cos, sin, x, y). Shape should be (*, 4).

-static from_xy_theta(x: float | ndarray, y: float | ndarray, theta: float | ndarray) SE2[source]#
+static from_xy_theta(x: float | ndarray[Any, dtype[floating]], y: float | ndarray[Any, dtype[floating]], theta: float | ndarray[Any, dtype[floating]]) SE2[source]#

Construct a transformation from standard 2D pose parameters.

-

Note that this is not the same as integrating over a length-3 twist.

+

This is not the same as integrating over a length-3 twist.

Parameters:
    -
  • x (float | ndarray) –

  • -
  • y (float | ndarray) –

  • -
  • theta (float | ndarray) –

  • +
  • x (float | ndarray[Any, dtype[floating]]) –

  • +
  • y (float | ndarray[Any, dtype[floating]]) –

  • +
  • theta (float | ndarray[Any, dtype[floating]]) –

Return type:
@@ -1053,13 +1054,13 @@

Transforms
-classmethod from_rotation_and_translation(rotation: SO2, translation: ndarray) SE2[source]#
+classmethod from_rotation_and_translation(rotation: SO2, translation: ndarray[Any, dtype[floating]]) SE2[source]#

Construct a rigid transform from a rotation and a translation.

Parameters:
  • rotation (SO2) – Rotation term.

  • -
  • translation (ndarray) – translation term.

  • +
  • translation (ndarray[Any, dtype[floating]]) – translation term.

Returns:
@@ -1112,11 +1113,11 @@

Transforms
-classmethod from_matrix(matrix: ndarray) SE2[source]#
+classmethod from_matrix(matrix: ndarray[Any, dtype[floating]]) SE2[source]#

Get group member from matrix representation.

Parameters:
-

matrix (ndarray) – Matrix representaiton.

+

matrix (ndarray[Any, dtype[floating]]) – Matrix representaiton.

Returns:

Group member.

@@ -1151,11 +1152,11 @@

Transforms
-classmethod exp(tangent: ndarray) SE2[source]#
+classmethod exp(tangent: ndarray[Any, dtype[floating]]) SE2[source]#

Computes expm(wedge(tangent)).

Parameters:
-

tangent (ndarray) – Tangent vector to take the exponential of.

+

tangent (ndarray[Any, dtype[floating]]) – Tangent vector to take the exponential of.

Returns:

Output.

@@ -1182,13 +1183,13 @@

Transforms
-__matmul__(other: Self | ndarray) Self | ndarray[Any, dtype[floating]]#
+__matmul__(other: Self | ndarray[Any, dtype[floating]]) Self | ndarray[Any, dtype[floating]]#

Overload for the @ operator.

Switches between the group action (.apply()) and multiplication (.multiply()) based on the type of other.

Parameters:
-

other (Self | ndarray) –

+

other (Self | ndarray[Any, dtype[floating]]) –

Return type:

Self | ndarray[Any, dtype[floating]]

@@ -1222,11 +1223,11 @@

Transforms
-apply(target: ndarray) ndarray[Any, dtype[floating]]#
+apply(target: ndarray[Any, dtype[floating]]) ndarray[Any, dtype[floating]]#

Applies group action to a point.

Parameters:
-

target (ndarray) – Point to transform.

+

target (ndarray[Any, dtype[floating]]) – Point to transform.

Returns:

Transformed point.

@@ -1252,10 +1253,10 @@

Transforms
-classmethod from_translation(translation: ndarray) Self#
+classmethod from_translation(translation: ndarray[Any, dtype[floating]]) Self#
Parameters:
-

translation (ndarray) –

+

translation (ndarray[Any, dtype[floating]]) –

Return type:

Self

@@ -1353,6 +1354,7 @@

TransformsSEBase[SO3]

Special Euclidean group for proper rigid transforms in 3D. Broadcasting rules are the same as for numpy.

+

Ported to numpy from jaxlie.SE3.

Internal parameterization is (qw, qx, qy, qz, x, y, z). Tangent parameterization is (vx, vy, vz, omega_x, omega_y, omega_z).

@@ -1363,13 +1365,13 @@

Transforms
-classmethod from_rotation_and_translation(rotation: SO3, translation: ndarray) SE3[source]#
+classmethod from_rotation_and_translation(rotation: SO3, translation: ndarray[Any, dtype[floating]]) SE3[source]#

Construct a rigid transform from a rotation and a translation.

Parameters:
  • rotation (SO3) – Rotation term.

  • -
  • translation (ndarray) – translation term.

  • +
  • translation (ndarray[Any, dtype[floating]]) – translation term.

Returns:
@@ -1422,11 +1424,11 @@

Transforms
-classmethod from_matrix(matrix: ndarray) SE3[source]#
+classmethod from_matrix(matrix: ndarray[Any, dtype[floating]]) SE3[source]#

Get group member from matrix representation.

Parameters:
-

matrix (ndarray) – Matrix representaiton.

+

matrix (ndarray[Any, dtype[floating]]) – Matrix representaiton.

Returns:

Group member.

@@ -1461,11 +1463,11 @@

Transforms
-classmethod exp(tangent: ndarray) SE3[source]#
+classmethod exp(tangent: ndarray[Any, dtype[floating]]) SE3[source]#

Computes expm(wedge(tangent)).

Parameters:
-

tangent (ndarray) – Tangent vector to take the exponential of.

+

tangent (ndarray[Any, dtype[floating]]) – Tangent vector to take the exponential of.

Returns:

Output.

@@ -1492,13 +1494,13 @@

Transforms
-__matmul__(other: Self | ndarray) Self | ndarray[Any, dtype[floating]]#
+__matmul__(other: Self | ndarray[Any, dtype[floating]]) Self | ndarray[Any, dtype[floating]]#

Overload for the @ operator.

Switches between the group action (.apply()) and multiplication (.multiply()) based on the type of other.

Parameters:
-

other (Self | ndarray) –

+

other (Self | ndarray[Any, dtype[floating]]) –

Return type:

Self | ndarray[Any, dtype[floating]]

@@ -1529,11 +1531,11 @@

Transforms
-apply(target: ndarray) ndarray[Any, dtype[floating]]#
+apply(target: ndarray[Any, dtype[floating]]) ndarray[Any, dtype[floating]]#

Applies group action to a point.

Parameters:
-

target (ndarray) – Point to transform.

+

target (ndarray[Any, dtype[floating]]) – Point to transform.

Returns:

Transformed point.

@@ -1559,10 +1561,10 @@

Transforms
-classmethod from_translation(translation: ndarray) Self#
+classmethod from_translation(translation: ndarray[Any, dtype[floating]]) Self#
Parameters:
-

translation (ndarray) –

+

translation (ndarray[Any, dtype[floating]]) –

Return type:

Self

@@ -1659,7 +1661,8 @@

Transformsclass viser.transforms.SO2[source]#

Bases: SOBase

Special orthogonal group for 2D rotations. Broadcasting rules are the -same as for numpy.

+same as for numpy.

+

Ported to numpy from jaxlie.SO2.

Internal parameterization is (cos, sin). Tangent parameterization is (omega,).

@@ -1669,11 +1672,11 @@

Transforms
-static from_radians(theta: float | ndarray) SO2[source]#
+static from_radians(theta: float | ndarray[Any, dtype[floating]]) SO2[source]#

Construct a rotation object from a scalar angle.

Parameters:
-

theta (float | ndarray) –

+

theta (float | ndarray[Any, dtype[floating]]) –

Return type:

SO2

@@ -1711,11 +1714,11 @@

Transforms
-classmethod from_matrix(matrix: ndarray) SO2[source]#
+classmethod from_matrix(matrix: ndarray[Any, dtype[floating]]) SO2[source]#

Get group member from matrix representation.

Parameters:
-

matrix (ndarray) – Matrix representaiton.

+

matrix (ndarray[Any, dtype[floating]]) – Matrix representaiton.

Returns:

Group member.

@@ -1750,11 +1753,11 @@

Transforms
-apply(target: ndarray) ndarray[Any, dtype[floating]][source]#
+apply(target: ndarray[Any, dtype[floating]]) ndarray[Any, dtype[floating]][source]#

Applies group action to a point.

Parameters:
-

target (ndarray) – Point to transform.

+

target (ndarray[Any, dtype[floating]]) – Point to transform.

Returns:

Transformed point.

@@ -1784,11 +1787,11 @@

Transforms
-classmethod exp(tangent: ndarray) SO2[source]#
+classmethod exp(tangent: ndarray[Any, dtype[floating]]) SO2[source]#

Computes expm(wedge(tangent)).

Parameters:
-

tangent (ndarray) – Tangent vector to take the exponential of.

+

tangent (ndarray[Any, dtype[floating]]) – Tangent vector to take the exponential of.

Returns:

Output.

@@ -1850,13 +1853,13 @@

Transforms
-__matmul__(other: Self | ndarray) Self | ndarray[Any, dtype[floating]]#
+__matmul__(other: Self | ndarray[Any, dtype[floating]]) Self | ndarray[Any, dtype[floating]]#

Overload for the @ operator.

Switches between the group action (.apply()) and multiplication (.multiply()) based on the type of other.

Parameters:
-

other (Self | ndarray) –

+

other (Self | ndarray[Any, dtype[floating]]) –

Return type:

Self | ndarray[Any, dtype[floating]]

@@ -1923,6 +1926,7 @@

TransformsSOBase

Special orthogonal group for 3D rotations. Broadcasting rules are the same as for numpy.

+

Ported to numpy from jaxlie.SO3.

Internal parameterization is (qw, qx, qy, qz). Tangent parameterization is (omega_x, omega_y, omega_z).

@@ -1933,13 +1937,13 @@

Transforms
-static from_x_radians(theta: float | ndarray) SO3[source]#
+static from_x_radians(theta: float | ndarray[Any, dtype[floating]]) SO3[source]#

Generates a x-axis rotation.

Parameters:
  • angle – X rotation, in radians.

  • -
  • theta (float | ndarray) –

  • +
  • theta (float | ndarray[Any, dtype[floating]]) –

Returns:
@@ -1953,13 +1957,13 @@

Transforms
-static from_y_radians(theta: float | ndarray) SO3[source]#
+static from_y_radians(theta: float | ndarray[Any, dtype[floating]]) SO3[source]#

Generates a y-axis rotation.

Parameters:
  • angle – Y rotation, in radians.

  • -
  • theta (float | ndarray) –

  • +
  • theta (float | ndarray[Any, dtype[floating]]) –

Returns:
@@ -1973,13 +1977,13 @@

Transforms
-static from_z_radians(theta: float | ndarray) SO3[source]#
+static from_z_radians(theta: float | ndarray[Any, dtype[floating]]) SO3[source]#

Generates a z-axis rotation.

Parameters:
  • angle – Z rotation, in radians.

  • -
  • theta (float | ndarray) –

  • +
  • theta (float | ndarray[Any, dtype[floating]]) –

Returns:
@@ -1993,15 +1997,15 @@

Transforms
-static from_rpy_radians(roll: float | ndarray, pitch: float | ndarray, yaw: float | ndarray) SO3[source]#
+static from_rpy_radians(roll: float | ndarray[Any, dtype[floating]], pitch: float | ndarray[Any, dtype[floating]], yaw: float | ndarray[Any, dtype[floating]]) SO3[source]#

Generates a transform from a set of Euler angles. Uses the ZYX mobile robot convention.

Parameters:
    -
  • roll (float | ndarray) – X rotation, in radians. Applied first.

  • -
  • pitch (float | ndarray) – Y rotation, in radians. Applied second.

  • -
  • yaw (float | ndarray) – Z rotation, in radians. Applied last.

  • +
  • roll (float | ndarray[Any, dtype[floating]]) – X rotation, in radians. Applied first.

  • +
  • pitch (float | ndarray[Any, dtype[floating]]) – Y rotation, in radians. Applied second.

  • +
  • yaw (float | ndarray[Any, dtype[floating]]) – Z rotation, in radians. Applied last.

Returns:
@@ -2015,13 +2019,13 @@

Transforms
-static from_quaternion_xyzw(xyzw: ndarray) SO3[source]#
+static from_quaternion_xyzw(xyzw: ndarray[Any, dtype[floating]]) SO3[source]#

Construct a rotation from an xyzw quaternion.

Note that wxyz quaternions can be constructed using the default dataclass constructor.

Parameters:
-

xyzw (ndarray) – xyzw quaternion. Shape should be (*, 4).

+

xyzw (ndarray[Any, dtype[floating]]) – xyzw quaternion. Shape should be (*, 4).

Returns:

Output.

@@ -2118,11 +2122,11 @@

Transforms
-classmethod from_matrix(matrix: ndarray) SO3[source]#
+classmethod from_matrix(matrix: ndarray[Any, dtype[floating]]) SO3[source]#

Get group member from matrix representation.

Parameters:
-

matrix (ndarray) – Matrix representaiton.

+

matrix (ndarray[Any, dtype[floating]]) – Matrix representaiton.

Returns:

Group member.

@@ -2157,11 +2161,11 @@

Transforms
-apply(target: ndarray) ndarray[Any, dtype[floating]][source]#
+apply(target: ndarray[Any, dtype[floating]]) ndarray[Any, dtype[floating]][source]#

Applies group action to a point.

Parameters:
-

target (ndarray) – Point to transform.

+

target (ndarray[Any, dtype[floating]]) – Point to transform.

Returns:

Transformed point.

@@ -2191,11 +2195,11 @@

Transforms
-classmethod exp(tangent: ndarray) SO3[source]#
+classmethod exp(tangent: ndarray[Any, dtype[floating]]) SO3[source]#

Computes expm(wedge(tangent)).

Parameters:
-

tangent (ndarray) – Tangent vector to take the exponential of.

+

tangent (ndarray[Any, dtype[floating]]) – Tangent vector to take the exponential of.

Returns:

Output.

@@ -2257,13 +2261,13 @@

Transforms
-__matmul__(other: Self | ndarray) Self | ndarray[Any, dtype[floating]]#
+__matmul__(other: Self | ndarray[Any, dtype[floating]]) Self | ndarray[Any, dtype[floating]]#

Overload for the @ operator.

Switches between the group action (.apply()) and multiplication (.multiply()) based on the type of other.

Parameters:
-

other (Self | ndarray) –

+

other (Self | ndarray[Any, dtype[floating]]) –

Return type:

Self | ndarray[Any, dtype[floating]]

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