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82 lines
2.8 KiB
Python
82 lines
2.8 KiB
Python
# Copyright 2022 The Nerfstudio Team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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Base class for the graphs.
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"""
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from abc import abstractmethod
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from typing import Dict, Optional, Tuple
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import torch
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from torch import nn
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from torchtyping import TensorType
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from nerfstudio.cameras.rays import Frustums, RaySamples
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from nerfstudio.field_components.field_heads import FieldHeadNames
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class Field(nn.Module):
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"""Base class for fields."""
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def density_fn(self, positions: TensorType["bs":..., 3]) -> TensorType["bs":..., 1]:
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"""Returns only the density. Used primarily with the density grid.
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Args:
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positions: the origin of the samples/frustums
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"""
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# Need to figure out a better way to descibe positions with a ray.
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ray_samples = RaySamples(
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frustums=Frustums(
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origins=positions,
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directions=torch.ones_like(positions),
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starts=torch.zeros_like(positions[..., :1]),
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ends=torch.zeros_like(positions[..., :1]),
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pixel_area=torch.ones_like(positions[..., :1]),
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)
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)
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density, _ = self.get_density(ray_samples)
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return density
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@abstractmethod
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def get_density(self, ray_samples: RaySamples) -> Tuple[TensorType[..., 1], TensorType[..., "num_features"]]:
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"""Computes and returns the densities. Returns a tensor of densities and a tensor of features.
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Args:
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ray_samples: Samples locations to compute density.
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"""
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@abstractmethod
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def get_outputs(
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self, ray_samples: RaySamples, density_embedding: Optional[TensorType] = None
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) -> Dict[FieldHeadNames, TensorType]:
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"""Computes and returns the colors. Returns output field values.
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Args:
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ray_samples: Samples locations to compute outputs.
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density_embedding: Density embeddings to condition on.
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"""
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def forward(self, ray_samples: RaySamples):
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"""Evaluates the field at points along the ray.
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Args:
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ray_samples: Samples to evaluate field on.
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"""
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density, density_embedding = self.get_density(ray_samples)
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field_outputs = self.get_outputs(ray_samples, density_embedding=density_embedding)
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field_outputs[FieldHeadNames.DENSITY] = density # type: ignore
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return field_outputs
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