Enable spelling linter for Markdown, reStructuredText and IPython notebooks

Summary: Enable spelling linter for Markdown, reStructuredText and IPython notebooks under `fbcode/vision/fair`. Apply suggested fixes.

Reviewed By: ppwwyyxx

Differential Revision: D20495298

fbshipit-source-id: 95310c7b51f9fa68ba2aa34ecc39a874da36a75c
This commit is contained in:
Patrick Labatut 2020-03-17 16:24:45 -07:00 committed by Facebook GitHub Bot
parent 3901dbe4de
commit c9742d00b0
7 changed files with 9 additions and 9 deletions

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@ -157,8 +157,8 @@
},
"outputs": [],
"source": [
"!wget https://raw.githubusercontent.com/facebookresearch/pytorch3d/master/docs/tutorials/utils/camera_visualisation.py\n",
"from camera_visualisation import plot_camera_scene\n",
"!wget https://raw.githubusercontent.com/facebookresearch/pytorch3d/master/docs/tutorials/utils/camera_visualization.py\n",
"from camera_visualization import plot_camera_scene\n",
"\n",
"!mkdir data\n",
"!wget -P data https://raw.githubusercontent.com/facebookresearch/pytorch3d/master/docs/tutorials/data/camera_graph.pth"
@ -482,7 +482,7 @@
"log_R_absolute_init = torch.randn(N, 3).float().cuda()\n",
"T_absolute_init = torch.randn(N, 3).float().cuda()\n",
"\n",
"# futhermore, we know that the first camera is a trivial one \n",
"# furthermore, we know that the first camera is a trivial one \n",
"# (see the description above)\n",
"log_R_absolute_init[0, :] = 0.\n",
"T_absolute_init[0, :] = 0.\n",

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@ -424,7 +424,7 @@
"id": "dvTLnrWorQd2"
},
"source": [
"### Visualise the starting position and the reference position"
"### Visualize the starting position and the reference position"
]
},
{

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@ -545,7 +545,7 @@
"source": [
"## 6. Batched Rendering\n",
"\n",
"One of the core design choices of the PyTorch3D API is to suport **batched inputs for all components**. \n",
"One of the core design choices of the PyTorch3D API is to support **batched inputs for all components**. \n",
"The renderer and associated components can take batched inputs and **render a batch of output images in one forward pass**. We will now use this feature to render the mesh from many different viewpoints.\n"
]
},

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@ -1,6 +1,6 @@
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
from .camera_visualisation import (
from .camera_visualization import (
get_camera_wireframe,
plot_camera_scene,
plot_cameras,

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@ -330,7 +330,7 @@ class HardFlatShader(nn.Module):
class SoftSilhouetteShader(nn.Module):
"""
Calculate the silhouette by blending the top K faces for each pixel based
on the 2d euclidean distance of the centre of the pixel to the mesh face.
on the 2d euclidean distance of the center of the pixel to the mesh face.
Use this shader for generating silhouettes similar to SoftRasterizer [0].

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@ -272,7 +272,7 @@ class TestBlending(unittest.TestCase):
)
def test_softmax_rgb_blend(self):
# Create dummy outputs of rasterization simulating a cube in the centre
# Create dummy outputs of rasterization simulating a cube in the center
# of the image with surrounding padded values.
N, S, K = 1, 8, 2
device = torch.device("cuda")
@ -421,7 +421,7 @@ class TestBlending(unittest.TestCase):
return fn
def test_blend_params(self):
"""Test colour parameter of BlendParams().
"""Test color parameter of BlendParams().
Assert passed value overrides default value.
"""
bp_default = BlendParams()