Fix Multiple Typos (#1376)

fix multiple typos
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NCJ authored and GitHub committed 2023-02-08 10:33:23 -08:00
1 parent 8c9c2ba2ab
commit 92cadf5ce4
6 files changed
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@@ -44,7 +44,7 @@ class Frustums(TensorDataclass):
"""Offsets for each sample position"""
def get_positions(self) -> TensorType[..., 3]:
"""Calulates "center" position of frustum. Not weighted by mass.
"""Calculates "center" position of frustum. Not weighted by mass.
Returns:
xyz positions.
@@ -61,7 +61,7 @@ class Frustums(TensorDataclass):
def get_gaussian_blob(self) -> Gaussians:
"""Calculates guassian approximation of conical frustum.
Resturns:
Returns:
Conical frustums approximated by gaussian distribution.
"""
# Cone radius is set such that the square pixel_area matches the cone area.
@@ -109,7 +109,7 @@ class RaySamples(TensorDataclass):
spacing_to_euclidean_fn: Optional[Callable] = None
"""Function to convert bins to euclidean distance."""
metadata: Optional[Dict[str, TensorType["bs":..., "latent_dims"]]] = None
"""addtional information relevant to generating ray samples"""
"""additional information relevant to generating ray samples"""
times: Optional[TensorType[..., 1]] = None
"""Times at which rays are sampled"""
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@@ -292,7 +292,7 @@ class Trainer:
@check_viewer_enabled
def _update_viewer_rays_per_sec(self, train_t: TimeWriter, vis_t: TimeWriter, step: int):
"""Performs update on rays/sec calclation for training
"""Performs update on rays/sec calculation for training
Args:
train_t: timer object carrying time to execute total training iteration
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@@ -58,7 +58,7 @@ class TCNNInstantNGPField(Field):
num_layers_color: number of hidden layers for color network
hidden_dim_color: dimension of hidden layers for color network
use_appearance_embedding: whether to use appearance embedding
num_images: number of images, requried if use_appearance_embedding is True
num_images: number of images, required if use_appearance_embedding is True
appearance_embedding_dim: dimension of appearance embedding
contraction_type: type of contraction
num_levels: number of levels of the hashmap for the base mlp
+2 -2
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@@ -55,7 +55,7 @@ def background_color_override_context(mode: TensorType[3]) -> Generator[None, No
class RGBRenderer(nn.Module):
"""Standard volumetic rendering.
"""Standard volumetric rendering.
Args:
background_color: Background color as RGB. Uses random colors if None.
@@ -165,7 +165,7 @@ class SHRenderer(nn.Module):
"""Composite samples along ray and render color image
Args:
sh: Spherical hamonics coefficients for each sample
sh: Spherical harmonics coefficients for each sample
directions: Sample direction
weights: Weights for each sample
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@@ -106,7 +106,7 @@ def compute_3d_gaussian(
dir_variance: TensorType[..., 1],
radius_variance: TensorType[..., 1],
) -> Gaussians:
"""Compute guassian along ray.
"""Compute gaussian along ray.
Args:
directions: Axis of Gaussian.
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@@ -152,7 +152,7 @@ def launch(
config: Optional[TrainerConfig] = None,
timeout: timedelta = DEFAULT_TIMEOUT,
) -> None:
"""Function that spawns muliple processes to call on main_func
"""Function that spawns multiple processes to call on main_func
Args:
main_func (Callable): function that will be called by the distributed workers