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# -*- coding: utf-8 -*- | |
# Max-Planck-Gesellschaft zur Förderung der Wissenschaften e.V. (MPG) is | |
# holder of all proprietary rights on this computer program. | |
# You can only use this computer program if you have closed | |
# a license agreement with MPG or you get the right to use the computer | |
# program from someone who is authorized to grant you that right. | |
# Any use of the computer program without a valid license is prohibited and | |
# liable to prosecution. | |
# | |
# Copyright©2020 Max-Planck-Gesellschaft zur Förderung | |
# der Wissenschaften e.V. (MPG). acting on behalf of its Max Planck Institute | |
# for Intelligent Systems. All rights reserved. | |
# | |
# Contact: ps-license@tuebingen.mpg.de | |
from typing import Optional | |
from torch import Tensor | |
from .base import Datastruct, dataclass, Transform | |
from ..tools import collate_tensor_with_padding | |
from .joints2jfeats import Joints2Jfeats | |
class XYZTransform(Transform): | |
def __init__(self, joints2jfeats: Joints2Jfeats, **kwargs): | |
self.joints2jfeats = joints2jfeats | |
def Datastruct(self, **kwargs): | |
return XYZDatastruct(_joints2jfeats=self.joints2jfeats, | |
transforms=self, | |
**kwargs) | |
def __repr__(self): | |
return "XYZTransform()" | |
class XYZDatastruct(Datastruct): | |
transforms: XYZTransform | |
_joints2jfeats: Joints2Jfeats | |
features: Optional[Tensor] = None | |
joints_: Optional[Tensor] = None | |
jfeats_: Optional[Tensor] = None | |
def __post_init__(self): | |
self.datakeys = ["features", "joints_", "jfeats_"] | |
# starting point | |
if self.features is not None and self.jfeats_ is None: | |
self.jfeats_ = self.features | |
def joints(self): | |
# Cached value | |
if self.joints_ is not None: | |
return self.joints_ | |
# self.jfeats_ should be defined | |
assert self.jfeats_ is not None | |
self._joints2jfeats.to(self.jfeats.device) | |
self.joints_ = self._joints2jfeats.inverse(self.jfeats) | |
return self.joints_ | |
def jfeats(self): | |
# Cached value | |
if self.jfeats_ is not None: | |
return self.jfeats_ | |
# self.joints_ should be defined | |
assert self.joints_ is not None | |
self._joints2jfeats.to(self.joints.device) | |
self.jfeats_ = self._joints2jfeats(self.joints) | |
return self.jfeats_ | |
def __len__(self): | |
return len(self.jfeats) | |