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https://github.com/facebookresearch/pytorch3d.git
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72c3a0ebe5
Summary: Currently some implicit functions in implicitron take a raybundle, others take ray_points_world. raybundle is what they really need. However, the raybundle is going to become a bit more flexible later, as it will contain different numbers of rays for each camera. Reviewed By: bottler Differential Revision: D39173751 fbshipit-source-id: ebc038e426d22e831e67a18ba64655d8a61e1eb9
52 lines
1.3 KiB
Python
52 lines
1.3 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the BSD-style license found in the
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# LICENSE file in the root directory of this source tree.
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from abc import ABC, abstractmethod
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from typing import Optional
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from pytorch3d.implicitron.tools.config import ReplaceableBase
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from pytorch3d.renderer.cameras import CamerasBase
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from pytorch3d.renderer.implicit import RayBundle
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class ImplicitFunctionBase(ABC, ReplaceableBase):
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def __init__(self):
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super().__init__()
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@abstractmethod
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def forward(
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self,
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*,
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ray_bundle: RayBundle,
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fun_viewpool=None,
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camera: Optional[CamerasBase] = None,
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global_code=None,
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**kwargs,
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):
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raise NotImplementedError()
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@staticmethod
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def allows_multiple_passes() -> bool:
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"""
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Returns True if this implicit function allows
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multiple passes.
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"""
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return False
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@staticmethod
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def requires_pooling_without_aggregation() -> bool:
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"""
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Returns True if this implicit function needs
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pooling without aggregation.
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"""
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return False
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def on_bind_args(self) -> None:
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"""
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Called when the custom args are fixed in the main model forward pass.
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"""
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pass
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