spatial-transform 1.2.6

Libary for creating spatial space hierarchies

spatial-transform

Lightweight libary for creating hierarchies in a three dimensional space, like Unity, Unreal, Blender or any other 3D application.

Properties like positions, rotations, directions and scales can be easily accessed and are calculated based on the parents space for the world space. Individual transforms can be attatched and detatched at any point and have some more comfort methods for easy modifications.

Why and intention

This libary is a side product of my master thesis, in order to extract conveniently local and world data features from a humanoid skeleton hierarchy. I could not find any libary that could do that, without bloat or the features I required for extraction or modification.

Installation

pip install spatial-transform

Notes

• Transform is the class for creating hierarchies. It contains all the properties and methods of reading and manipulating spaces.
• Euler is a class with static members only for converting euler angle into quaternions or matrices. It supports diffrent rotation orders and can be used to convert between
• The package PyGLM is used for matrix, quaternion and vector calculations.
• Same coordination space as openGL and GLM is used. Which is: Right-Handed, - Y+ is up, Z- is forward and positive rotations are counter clockwise.

Examples

Create and attach transforms

from SpatialTransform import Transform, Euler

# defining the transforms
hips = Transform('Hips', position=(0,2,0))
LeftLegUpper = Transform('LeftLegUpper', position=(+0.2,0,0))
LeftLegLower = Transform('LeftLegLower', position=(0,-1,0))
LeftLegFoot = Transform('LeftLegFoot', position=(0,-1,0))
RightLegUpper = Transform('RightLegUpper', position=(-0.2,0,0))
RightLegLower = Transform('RightLegLower', position=(0,-1,0))
RightLegFoot = Transform('RightLegFoot', position=(0,-1,0))

# defining the hierarchy
hips.attach(LeftLegUpper)
LeftLegUpper.attach(LeftLegLower)
LeftLegLower.attach(LeftLegFoot)

hips.attach(RightLegUpper)
RightLegUpper.attach(RightLegLower)
RightLegLower.attach(RightLegFoot)

# show the created hierarchy
hips.printTree()
print('\nWorld positions, local positions, joint directions:')
for item, index, depth in hips.layout():
    print(f'{item.PositionWorld} {item.Position} {item.ForwardWorld} {item.Name}')

# --------------------------- OUTPUT ---------------------------
# Hips
# +- LeftLegUpper
# |  +- LeftLegLower
# |     +- LeftLegFoot
# +- RightLegUpper
#    +- RightLegLower
#       +- RightLegFoot

# World positions, local positions, joint direction:
# vec3(            0,            2,            0 ) vec3(            0,            2,            0 ) Hips
# vec3(          0.2,            2,            0 ) vec3(          0.2,            0,            0 ) LeftLegUpper
# vec3(          0.2,            1,            0 ) vec3(            0,           -1,            0 ) LeftLegLower
# vec3(          0.2,            0,            0 ) vec3(            0,           -1,            0 ) LeftLegFoot
# vec3(         -0.2,            2,            0 ) vec3(         -0.2,            0,            0 ) RightLegUpper
# vec3(         -0.2,            1,            0 ) vec3(            0,           -1,            0 ) RightLegLower
# vec3(         -0.2,            0,            0 ) vec3(            0,           -1,            0 ) RightLegFoot

Interacting with transforms

from SpatialTransform import Transform

# the basic properties of the transform as position, scale and rotation can be changed by setting the value
# but the inverse-properties are read only
root = Transform()
root.PositionWorld = (1,2,3)
root.Scale = .1                     # accepts either a single value or a tuple of three
root.RotationWorld = (1, 0, 0, 0)   # rotations are in quaternions

# the rotation can be also read and changed with extra methods for simplified usage
root.setEuler((0, 90, 0))
root.getEuler(order='ZYX')
root.lookAtWorld((1, 1, 1))

# some methods do update the transform and keep childrens spatially unchanged
root.clearParent(keep=['position', 'rotation', 'scale'])
root.clearChildren(keep=['position', 'rotation', 'scale'])
root.applyPosition()
root.applyRotation(recursive=True)
root.appyScale(recursive=True)

# the transform provide two methods to convert arbitrary points and direction from and to the spaces
root.pointToWorld((5,4,3))
root.directionToLocal((2,3,4))

Fluent interface usage

from SpatialTransform import Transform

# because almost every method on the "Transform" object returns itself,
# the previous code of creating and attaching can also be written like:
hips = Transform('Hips', position=(0,2,0)).attach(
    Transform('LeftLegUpper', position=(+0.2,0,0)).attach(
        Transform('LeftLegLower', position=(0,-1,0)).attach(
            Transform('LeftLegFoot', position=(0,-1,0))
        )
    ),
    Transform('RightLegUpper', position=(-0.2,0,0)).attach(
        Transform('RightLegLower', position=(0,-1,0)).attach(
            Transform('RightLegFoot', position=(0,-1,0))
        )
    )
)

# multiple actions on a transform can be performed on a single line
feets = hips.setEuler((0, 180, 0)).applyRotation().filter('Foot')

# show the created hierarchy
hips.printTree()
print('\nPositions:')
for item, index, depth in hips.layout():
    print(f'{item.PositionWorld} {item.Position} {item.Name}')

# --------------------------- OUTPUT ---------------------------
# Hips
# +- LeftLegUpper
# |  +- LeftLegLower
# |     +- LeftLegFoot
# +- RightLegUpper
#    +- RightLegLower
#       +- RightLegFoot

# Positions:
# vec3(            0,            2,            0 ) vec3(            0,            2,            0 ) Hips
# vec3(         -0.2,            2,  1.74846e-08 ) vec3(         -0.2,            0,  1.74846e-08 ) LeftLegUpper
# vec3(         -0.2,            1,  1.74846e-08 ) vec3(            0,           -1,            0 ) LeftLegLower
# vec3(         -0.2,            0,  1.74846e-08 ) vec3(            0,           -1,            0 ) LeftLegFoot
# vec3(          0.2,            2, -1.74846e-08 ) vec3(          0.2,            0, -1.74846e-08 ) RightLegUpper
# vec3(          0.2,            1, -1.74846e-08 ) vec3(            0,           -1,            0 ) RightLegLower
# vec3(          0.2,            0, -1.74846e-08 ) vec3(            0,           -1,            0 ) RightLegFoot

Euler angles conversions

# the package also provides the static class 'Euler'
# the 'Transform' does also rely on that to convert between rotation representations
from SpatialTransform import Euler

# rotations are in radians here
matrix = Euler.toMatFrom((1, 2, .5), order='YZX', extrinsic=True)
quaternion = Euler.toQuatFrom((1, 2, .5), order='YZX', extrinsic=True)

angles1 = Euler.fromMatTo(matrix, order='XYZ', extrinsic=False)
angles2 = Euler.fromQuatTo(quaternion, order='XYZ', extrinsic=False)

print(angles1 - angles2)

# --------------------------- OUTPUT ---------------------------
# vec3(            0,            0,            0 )