From 75345de07d76921f37cb735f44fd76474a940d98 Mon Sep 17 00:00:00 2001 From: Patrick Labatut Date: Wed, 24 Nov 2021 13:57:23 -0800 Subject: [PATCH] Update copyright statement on pages footers --- css/main.css | 2 +- docs/batching.html | 2 +- docs/batching/index.html | 2 +- docs/cameras.html | 4 ++-- docs/cameras/index.html | 4 ++-- docs/cubify.html | 2 +- docs/cubify/index.html | 2 +- docs/datasets.html | 2 +- docs/datasets/index.html | 2 +- docs/io.html | 2 +- docs/io/index.html | 2 +- docs/iou3d.html | 2 +- docs/iou3d/index.html | 2 +- docs/meshes_io.html | 2 +- docs/meshes_io/index.html | 2 +- docs/renderer.html | 2 +- docs/renderer/index.html | 2 +- docs/renderer_getting_started.html | 2 +- docs/renderer_getting_started/index.html | 2 +- docs/visualization.html | 2 +- docs/visualization/index.html | 2 +- docs/why_pytorch3d.html | 2 +- docs/why_pytorch3d/index.html | 2 +- en/help.html | 2 +- en/help/index.html | 2 +- en/index.html | 2 +- en/users.html | 2 +- en/users/index.html | 2 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.nt{color:#062873;font-weight:700}.highlight .nv{color:#bb60d5}.highlight .ow{color:#007020;font-weight:700}.highlight .w{color:#bbb}.highlight .mf,.highlight .mh,.highlight .mi,.highlight .mo{color:#40a070}.highlight .sb,.highlight .sc{color:#4070a0}.highlight .sd{color:#4070a0;font-style:italic}.highlight .s2{color:#4070a0}.highlight .se{color:#4070a0;font-weight:700}.highlight .sh{color:#4070a0}.highlight .si{color:#70a0d0;font-style:italic}.highlight .sx{color:#c65d09}.highlight .sr{color:#235388}.highlight .s1{color:#4070a0}.highlight .ss{color:#517918}.highlight .bp{color:#007020}.highlight .vc,.highlight .vg,.highlight .vi{color:#bb60d5}.highlight .il{color:#40a070} \ No newline at end of file diff --git a/docs/batching.html b/docs/batching.html index 2d8831af..2294a56a 100644 --- a/docs/batching.html +++ b/docs/batching.html @@ -76,4 +76,4 @@

Use cases for batch modes

The need for different mesh batch modes is inherent to the way PyTorch operators are implemented. To fully utilize the optimized PyTorch ops, the Meshes data structure allows for efficient conversion between the different batch modes. This is crucial when aiming for a fast and efficient training cycle. An example of this is Mesh R-CNN. Here, in the same forward pass different parts of the network assume different inputs, which are computed by converting between the different batch modes. In particular, vert_align assumes a padded input tensor while immediately after graph_conv assumes a packed input tensor.

meshrcnn

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\ No newline at end of file diff --git a/docs/batching/index.html b/docs/batching/index.html index 2d8831af..2294a56a 100644 --- a/docs/batching/index.html +++ b/docs/batching/index.html @@ -76,4 +76,4 @@

Use cases for batch modes

The need for different mesh batch modes is inherent to the way PyTorch operators are implemented. To fully utilize the optimized PyTorch ops, the Meshes data structure allows for efficient conversion between the different batch modes. This is crucial when aiming for a fast and efficient training cycle. An example of this is Mesh R-CNN. Here, in the same forward pass different parts of the network assume different inputs, which are computed by converting between the different batch modes. In particular, vert_align assumes a padded input tensor while immediately after graph_conv assumes a packed input tensor.

meshrcnn

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\ No newline at end of file diff --git a/docs/cameras.html b/docs/cameras.html index fe014f0b..8ee3bed1 100644 --- a/docs/cameras.html +++ b/docs/cameras.html @@ -71,7 +71,7 @@ This is the system the object/scene lives - the world.
  • Camera view coordinate system This is the system that has its origin on the image plane and the Z-axis perpendicular to the image plane. In PyTorch3D, we assume that +X points left, and +Y points up and +Z points out from the image plane. The transformation from world to view happens after applying a rotation (R) and translation (T).
  • NDC coordinate system -This is the normalized coordinate system that confines in a volume the rendered part of the object/scene. Also known as view volume. Under the PyTorch3D convention, (+1, +1, znear) is the top left near corner, and (-1, -1, zfar) is the bottom right far corner of the volume. For non-square volumes, the side of the volume in XY with the smallest length ranges from [-1, 1] while the larger side from [-s, s], where s is the aspect ratio and s > 1 (larger divided by smaller side). +This is the normalized coordinate system that confines in a volume the rendered part of the object/scene. Also known as view volume. For square images, under the PyTorch3D convention, (+1, +1, znear) is the top left near corner, and (-1, -1, zfar) is the bottom right far corner of the volume. For non-square images, the side of the volume in XY with the smallest length ranges from [-1, 1] while the larger side from [-s, s], where s is the aspect ratio and s > 1 (larger divided by smaller side). The transformation from view to NDC happens after applying the camera projection matrix (P).
  • Screen coordinate system This is another representation of the view volume with the XY coordinates defined in pixel space instead of a normalized space.
    • @@ -135,4 +135,4 @@ fy_ndc = fy_screen * 2.0 / (px_screen - (image_width - 1) / 2.0) * 2.0 / (s - 1) py_ndc = - (py_screen - (image_height - 1) / 2.0) * 2.0 / (s - 1) -
    Last updated by Georgia Gkioxari
    ← Getting Started
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    Last updated by Ignacio Rocco
    ← Getting Started
    \ No newline at end of file diff --git a/docs/cameras/index.html b/docs/cameras/index.html index fe014f0b..8ee3bed1 100644 --- a/docs/cameras/index.html +++ b/docs/cameras/index.html @@ -71,7 +71,7 @@ This is the system the object/scene lives - the world.
  • Camera view coordinate system This is the system that has its origin on the image plane and the Z-axis perpendicular to the image plane. In PyTorch3D, we assume that +X points left, and +Y points up and +Z points out from the image plane. The transformation from world to view happens after applying a rotation (R) and translation (T).
  • NDC coordinate system -This is the normalized coordinate system that confines in a volume the rendered part of the object/scene. Also known as view volume. Under the PyTorch3D convention, (+1, +1, znear) is the top left near corner, and (-1, -1, zfar) is the bottom right far corner of the volume. For non-square volumes, the side of the volume in XY with the smallest length ranges from [-1, 1] while the larger side from [-s, s], where s is the aspect ratio and s > 1 (larger divided by smaller side). +This is the normalized coordinate system that confines in a volume the rendered part of the object/scene. Also known as view volume. For square images, under the PyTorch3D convention, (+1, +1, znear) is the top left near corner, and (-1, -1, zfar) is the bottom right far corner of the volume. For non-square images, the side of the volume in XY with the smallest length ranges from [-1, 1] while the larger side from [-s, s], where s is the aspect ratio and s > 1 (larger divided by smaller side). The transformation from view to NDC happens after applying the camera projection matrix (P).
  • Screen coordinate system This is another representation of the view volume with the XY coordinates defined in pixel space instead of a normalized space.
    • @@ -135,4 +135,4 @@ fy_ndc = fy_screen * 2.0 / (px_screen - (image_width - 1) / 2.0) * 2.0 / (s - 1) py_ndc = - (py_screen - (image_height - 1) / 2.0) * 2.0 / (s - 1) -
    Last updated by Georgia Gkioxari
    ← Getting Started
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    Last updated by Ignacio Rocco
    ← Getting Started
    \ No newline at end of file diff --git a/docs/cubify.html b/docs/cubify.html index f13ff631..062dfd60 100644 --- a/docs/cubify.html +++ b/docs/cubify.html @@ -66,4 +66,4 @@

    The cubify operator converts an 3D occupancy grid of shape BxDxHxW, where B is the batch size, into a mesh instantiated as a Meshes data structure of B elements. The operator replaces every occupied voxel (if its occupancy probability is greater than a user defined threshold) with a cuboid of 12 faces and 8 vertices. Shared vertices are merged, and internal faces are removed resulting in a watertight mesh.

    The operator provides three alignment modes {topleft, corner, center} which define the span of the mesh vertices with respect to the voxel grid. The alignment modes are described in the figure below for a 2D grid.

    input

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    The cubify operator converts an 3D occupancy grid of shape BxDxHxW, where B is the batch size, into a mesh instantiated as a Meshes data structure of B elements. The operator replaces every occupied voxel (if its occupancy probability is greater than a user defined threshold) with a cuboid of 12 faces and 8 vertices. Shared vertices are merged, and internal faces are removed resulting in a watertight mesh.

    The operator provides three alignment modes {topleft, corner, center} which define the span of the mesh vertices with respect to the voxel grid. The alignment modes are described in the figure below for a 2D grid.

    input

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    \ No newline at end of file diff --git a/docs/datasets.html b/docs/datasets.html index 4aa1bdf6..77365395 100644 --- a/docs/datasets.html +++ b/docs/datasets.html @@ -70,4 +70,4 @@

    R2N2

    The R2N2 dataset contains 13 categories that are a subset of the ShapeNetCore v.1 dataset. The R2N2 dataset also contains its own 24 renderings of each object and voxelized models. The R2N2 Dataset can be downloaded following the instructions here.

    The PyTorch3D R2N2 data loader is initialized with the paths to the ShapeNet dataset, the R2N2 dataset and the splits file for R2N2. Just like ShapeNetCore, it can be passed to torch.utils.data.DataLoader with a customized collate_fn: collate_batched_R2N2 from the pytorch3d.dataset.r2n2.utils module. It returns all the data that ShapeNetCore returns, and in addition, it returns the R2N2 renderings (24 views for each model) along with the camera calibration matrices and a voxel representation for each model. Similar to ShapeNetCore, it has a customized render function that supports rendering specified models with the PyTorch3D differentiable renderer. In addition, it supports rendering models with the same orientations as R2N2's original renderings.

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    \ No newline at end of file diff --git a/docs/datasets/index.html b/docs/datasets/index.html index 4aa1bdf6..77365395 100644 --- a/docs/datasets/index.html +++ b/docs/datasets/index.html @@ -70,4 +70,4 @@

    R2N2

    The R2N2 dataset contains 13 categories that are a subset of the ShapeNetCore v.1 dataset. The R2N2 dataset also contains its own 24 renderings of each object and voxelized models. The R2N2 Dataset can be downloaded following the instructions here.

    The PyTorch3D R2N2 data loader is initialized with the paths to the ShapeNet dataset, the R2N2 dataset and the splits file for R2N2. Just like ShapeNetCore, it can be passed to torch.utils.data.DataLoader with a customized collate_fn: collate_batched_R2N2 from the pytorch3d.dataset.r2n2.utils module. It returns all the data that ShapeNetCore returns, and in addition, it returns the R2N2 renderings (24 views for each model) along with the camera calibration matrices and a voxel representation for each model. Similar to ShapeNetCore, it has a customized render function that supports rendering specified models with the PyTorch3D differentiable renderer. In addition, it supports rendering models with the same orientations as R2N2's original renderings.

    -
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    \ No newline at end of file diff --git a/docs/io.html b/docs/io.html index 147034e9..2bb3636d 100644 --- a/docs/io.html +++ b/docs/io.html @@ -83,4 +83,4 @@ mesh = IO().loadLast updated by Jeremy Reizenstein
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    \ No newline at end of file diff --git a/docs/io/index.html b/docs/io/index.html index 147034e9..2bb3636d 100644 --- a/docs/io/index.html +++ b/docs/io/index.html @@ -83,4 +83,4 @@ mesh = IO().loadLast updated by Jeremy Reizenstein
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    \ No newline at end of file diff --git a/docs/iou3d.html b/docs/iou3d.html index 84a616d2..7fa493f9 100644 --- a/docs/iou3d.html +++ b/docs/iou3d.html @@ -122,4 +122,4 @@ intersection_vol, iou_3d = box3d_overal(boxes1, boxes2) year = {2020}, } -
    Last updated by Georgia Gkioxari
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    \ No newline at end of file diff --git a/docs/iou3d/index.html b/docs/iou3d/index.html index 84a616d2..7fa493f9 100644 --- a/docs/iou3d/index.html +++ b/docs/iou3d/index.html @@ -122,4 +122,4 @@ intersection_vol, iou_3d = box3d_overal(boxes1, boxes2) year = {2020}, } -
    Last updated by Georgia Gkioxari
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    \ No newline at end of file diff --git a/docs/meshes_io.html b/docs/meshes_io.html index 94d09fa2..676aa9ba 100644 --- a/docs/meshes_io.html +++ b/docs/meshes_io.html @@ -116,4 +116,4 @@ are not triangles will be split into triangles. A Meshes object containing a single mesh can be created from this data using

        meshes = Meshes(verts=[verts], faces=[faces])
    -
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    \ No newline at end of file diff --git a/docs/meshes_io/index.html b/docs/meshes_io/index.html index 94d09fa2..676aa9ba 100644 --- a/docs/meshes_io/index.html +++ b/docs/meshes_io/index.html @@ -116,4 +116,4 @@ are not triangles will be split into triangles. A Meshes object containing a single mesh can be created from this data using

        meshes = Meshes(verts=[verts], faces=[faces])
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    [6] Yifan et al, 'Differentiable Surface Splatting for Point-based Geometry Processing', SIGGRAPH Asia 2019

    [7] Loubet et al, 'Reparameterizing Discontinuous Integrands for Differentiable Rendering', SIGGRAPH Asia 2019

    [8] Chen et al, 'Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer', NeurIPS 2019

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    [6] Yifan et al, 'Differentiable Surface Splatting for Point-based Geometry Processing', SIGGRAPH Asia 2019

    [7] Loubet et al, 'Reparameterizing Discontinuous Integrands for Differentiable Rendering', SIGGRAPH Asia 2019

    [8] Chen et al, 'Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer', NeurIPS 2019

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    \ No newline at end of file diff --git a/docs/renderer_getting_started.html b/docs/renderer_getting_started.html index f30d5d88..b9177f51 100644 --- a/docs/renderer_getting_started.html +++ b/docs/renderer_getting_started.html @@ -168,4 +168,4 @@ renderer = MeshRenderer( SoftSilhouetteShader✔️ -
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    ← OverviewCameras →
    \ No newline at end of file diff --git a/docs/renderer_getting_started/index.html b/docs/renderer_getting_started/index.html index f30d5d88..b9177f51 100644 --- a/docs/renderer_getting_started/index.html +++ b/docs/renderer_getting_started/index.html @@ -168,4 +168,4 @@ renderer = MeshRenderer( SoftSilhouetteShader✔️ -
    Last updated by Jeremy Reizenstein
    ← OverviewCameras →
    \ No newline at end of file +
    Last updated by Jeremy Reizenstein
    ← OverviewCameras →
    \ No newline at end of file diff --git a/docs/visualization.html b/docs/visualization.html index 18b03cc5..ab91618c 100644 --- a/docs/visualization.html +++ b/docs/visualization.html @@ -75,4 +75,4 @@ 
    fig = ...
 fig.write_image("image_name.png")
    -
    Last updated by Alex Naumann
    ← IoU3DOverview →
    \ No newline at end of file +
    Last updated by Alex Naumann
    ← IoU3DOverview →
    \ No newline at end of file diff --git a/docs/visualization/index.html b/docs/visualization/index.html index 18b03cc5..ab91618c 100644 --- a/docs/visualization/index.html +++ b/docs/visualization/index.html @@ -75,4 +75,4 @@ 
    fig = ...
 fig.write_image("image_name.png")
    -
    Last updated by Alex Naumann
    ← IoU3DOverview →
    \ No newline at end of file +
    Last updated by Alex Naumann
    ← IoU3DOverview →
    \ No newline at end of file diff --git a/docs/why_pytorch3d.html b/docs/why_pytorch3d.html index 9bbc5c52..d47a58ef 100644 --- a/docs/why_pytorch3d.html +++ b/docs/why_pytorch3d.html @@ -65,4 +65,4 @@

    Why PyTorch3D

    Our goal with PyTorch3D is to help accelerate research at the intersection of deep learning and 3D. 3D data is more complex than 2D images and while working on projects such as Mesh R-CNN and C3DPO, we encountered several challenges including 3D data representation, batching, and speed. We have developed many useful operators and abstractions for working on 3D deep learning and want to share this with the community to drive novel research in this area.

    In PyTorch3D we have included efficient 3D operators, heterogeneous batching capabilities, and a modular differentiable rendering API, to equip researchers in this field with a much needed toolkit to implement cutting-edge research with complex 3D inputs.

    -
    Last updated by Patrick Labatut
    File IO →
    \ No newline at end of file +
    Last updated by Patrick Labatut
    File IO →
    \ No newline at end of file diff --git a/docs/why_pytorch3d/index.html b/docs/why_pytorch3d/index.html index 9bbc5c52..d47a58ef 100644 --- a/docs/why_pytorch3d/index.html +++ b/docs/why_pytorch3d/index.html @@ -65,4 +65,4 @@

    Why PyTorch3D

    Our goal with PyTorch3D is to help accelerate research at the intersection of deep learning and 3D. 3D data is more complex than 2D images and while working on projects such as Mesh R-CNN and C3DPO, we encountered several challenges including 3D data representation, batching, and speed. We have developed many useful operators and abstractions for working on 3D deep learning and want to share this with the community to drive novel research in this area.

    In PyTorch3D we have included efficient 3D operators, heterogeneous batching capabilities, and a modular differentiable rendering API, to equip researchers in this field with a much needed toolkit to implement cutting-edge research with complex 3D inputs.

    -
    Last updated by Patrick Labatut
    File IO →
    \ No newline at end of file +
    Last updated by Patrick Labatut
    File IO →
    \ No newline at end of file diff --git a/en/help.html b/en/help.html index 8ab419de..6f0a5d02 100644 --- a/en/help.html +++ b/en/help.html @@ -12,4 +12,4 @@

    Ask questions about the documentation and project

    Stay up to date

    Find out what's new with this project

    -
    \ No newline at end of file + \ No newline at end of file diff --git a/en/help/index.html b/en/help/index.html index 8ab419de..6f0a5d02 100644 --- a/en/help/index.html +++ b/en/help/index.html @@ -12,4 +12,4 @@

    Ask questions about the documentation and project

    Stay up to date

    Find out what's new with this project

    -
    \ No newline at end of file + \ No newline at end of file diff --git a/en/index.html b/en/index.html index 8a0f4ec6..cdc1e073 100644 --- a/en/index.html +++ b/en/index.html @@ -28,4 +28,4 @@ sample_sphere = sample_points_from_meshes(sphere_mesh, 5000) loss_chamfer, _ = chamfer_distance(sample_sphere, sample_test) - \ No newline at end of file + \ No newline at end of file diff --git a/en/users.html b/en/users.html index 2009f30f..decd1ee2 100644 --- a/en/users.html +++ b/en/users.html @@ -6,4 +6,4 @@ ga('create', 'UA-157376881-1', 'auto'); ga('send', 'pageview'); -

    Who is Using This?

    This project is used by many folks

    User1

    Are you using this project?

    Add your company
    \ No newline at end of file +

    Who is Using This?

    This project is used by many folks

    User1

    Are you using this project?

    Add your company
    \ No newline at end of file diff --git a/en/users/index.html b/en/users/index.html index 2009f30f..decd1ee2 100644 --- a/en/users/index.html +++ b/en/users/index.html @@ -6,4 +6,4 @@ ga('create', 'UA-157376881-1', 'auto'); ga('send', 'pageview'); -

    Who is Using This?

    This project is used by many folks

    User1

    Are you using this project?

    Add your company
    \ No newline at end of file +

    Who is Using This?

    This project is used by many folks

    User1

    Are you using this project?

    Add your company
    \ No newline at end of file diff --git a/help.html b/help.html index 44455d6b..29f0ba10 100644 --- a/help.html +++ b/help.html @@ -12,4 +12,4 @@

    Ask questions about the documentation and project

    Stay up to date

    Find out what's new with this project

    -
    \ No newline at end of file + \ No newline at end of file diff --git a/help/index.html b/help/index.html index 44455d6b..29f0ba10 100644 --- a/help/index.html +++ b/help/index.html @@ -12,4 +12,4 @@

    Ask questions about the documentation and project

    Stay up to date

    Find out what's new with this project

    -
    \ No newline at end of file + \ No newline at end of file diff --git a/index.html b/index.html index da480f95..1b0412ac 100644 --- a/index.html +++ b/index.html @@ -28,4 +28,4 @@ sample_sphere = sample_points_from_meshes(sphere_mesh, 5000) loss_chamfer, _ = chamfer_distance(sample_sphere, sample_test) - \ No newline at end of file + \ No newline at end of file diff --git a/tutorials/bundle_adjustment.html b/tutorials/bundle_adjustment.html index 01c748fd..718a016a 100644 --- a/tutorials/bundle_adjustment.html +++ b/tutorials/bundle_adjustment.html @@ -422,4 +422,4 @@ where $d(g_i, g_j)$ is a suitable metric that compares the extrinsics of cameras - \ No newline at end of file + \ No newline at end of file diff --git a/tutorials/bundle_adjustment/index.html b/tutorials/bundle_adjustment/index.html index 01c748fd..718a016a 100644 --- a/tutorials/bundle_adjustment/index.html +++ b/tutorials/bundle_adjustment/index.html @@ -422,4 +422,4 @@ where $d(g_i, g_j)$ is a suitable metric that compares the extrinsics of cameras - \ No newline at end of file + \ No newline at end of file diff --git a/tutorials/camera_position_optimization_with_differentiable_rendering.html b/tutorials/camera_position_optimization_with_differentiable_rendering.html index 278b649d..21c84ccc 100644 --- a/tutorials/camera_position_optimization_with_differentiable_rendering.html +++ b/tutorials/camera_position_optimization_with_differentiable_rendering.html @@ -508,4 +508,4 @@ - \ No newline at end of file + \ No newline at end of file diff --git a/tutorials/camera_position_optimization_with_differentiable_rendering/index.html b/tutorials/camera_position_optimization_with_differentiable_rendering/index.html index 278b649d..21c84ccc 100644 --- a/tutorials/camera_position_optimization_with_differentiable_rendering/index.html +++ b/tutorials/camera_position_optimization_with_differentiable_rendering/index.html @@ -508,4 +508,4 @@ - \ No newline at end of file + \ No newline at end of file diff --git a/tutorials/dataloaders_ShapeNetCore_R2N2.html b/tutorials/dataloaders_ShapeNetCore_R2N2.html index 7c3de8e5..344fab9a 100644 --- a/tutorials/dataloaders_ShapeNetCore_R2N2.html +++ b/tutorials/dataloaders_ShapeNetCore_R2N2.html @@ -655,4 +655,4 @@ dataset. The R2N2 dataset also contains its own 24 renderings of each object and - \ No newline at end of file + \ No newline at end of file diff --git a/tutorials/dataloaders_ShapeNetCore_R2N2/index.html b/tutorials/dataloaders_ShapeNetCore_R2N2/index.html index 7c3de8e5..344fab9a 100644 --- a/tutorials/dataloaders_ShapeNetCore_R2N2/index.html +++ b/tutorials/dataloaders_ShapeNetCore_R2N2/index.html @@ -655,4 +655,4 @@ dataset. The R2N2 dataset also contains its own 24 renderings of each object and - \ No newline at end of file + \ No newline at end of file diff --git a/tutorials/deform_source_mesh_to_target_mesh.html b/tutorials/deform_source_mesh_to_target_mesh.html index 3b9d1816..6d493b23 100644 --- a/tutorials/deform_source_mesh_to_target_mesh.html +++ b/tutorials/deform_source_mesh_to_target_mesh.html @@ -495,4 +495,4 @@ the predicted mesh is closer to the target mesh at each optimization step. To ac - \ No newline at end of file + \ No newline at end of file diff --git a/tutorials/deform_source_mesh_to_target_mesh/index.html b/tutorials/deform_source_mesh_to_target_mesh/index.html index 3b9d1816..6d493b23 100644 --- a/tutorials/deform_source_mesh_to_target_mesh/index.html +++ b/tutorials/deform_source_mesh_to_target_mesh/index.html @@ -495,4 +495,4 @@ the predicted mesh is closer to the target mesh at each optimization step. To ac - \ No newline at end of file + \ No newline at end of file diff --git a/tutorials/fit_simple_neural_radiance_field.html b/tutorials/fit_simple_neural_radiance_field.html index 467309f6..c9c6784e 100644 --- a/tutorials/fit_simple_neural_radiance_field.html +++ b/tutorials/fit_simple_neural_radiance_field.html @@ -953,4 +953,4 @@ described in the previous cell.

    - \ No newline at end of file + \ No newline at end of file diff --git a/tutorials/fit_simple_neural_radiance_field/index.html b/tutorials/fit_simple_neural_radiance_field/index.html index 467309f6..c9c6784e 100644 --- a/tutorials/fit_simple_neural_radiance_field/index.html +++ b/tutorials/fit_simple_neural_radiance_field/index.html @@ -953,4 +953,4 @@ described in the previous cell.

    - \ No newline at end of file + \ No newline at end of file diff --git a/tutorials/fit_textured_mesh.html b/tutorials/fit_textured_mesh.html index dc1aacba..fbbb0b3a 100644 --- a/tutorials/fit_textured_mesh.html +++ b/tutorials/fit_textured_mesh.html @@ -883,4 +883,4 @@ If running locally, the data is already available at the correct path.

    - \ No newline at end of file + \ No newline at end of file diff --git a/tutorials/fit_textured_mesh/index.html b/tutorials/fit_textured_mesh/index.html index dc1aacba..fbbb0b3a 100644 --- a/tutorials/fit_textured_mesh/index.html +++ b/tutorials/fit_textured_mesh/index.html @@ -883,4 +883,4 @@ If running locally, the data is already available at the correct path.

    - \ No newline at end of file + \ No newline at end of file diff --git a/tutorials/fit_textured_volume.html b/tutorials/fit_textured_volume.html index d20c7613..b6c9268d 100644 --- a/tutorials/fit_textured_volume.html +++ b/tutorials/fit_textured_volume.html @@ -545,4 +545,4 @@ pairs of target_images/rendered_images and targe - \ No newline at end of file + \ No newline at end of file diff --git a/tutorials/fit_textured_volume/index.html b/tutorials/fit_textured_volume/index.html index d20c7613..b6c9268d 100644 --- a/tutorials/fit_textured_volume/index.html +++ b/tutorials/fit_textured_volume/index.html @@ -545,4 +545,4 @@ pairs of target_images/rendered_images and targe - \ No newline at end of file + \ No newline at end of file diff --git a/tutorials/index.html b/tutorials/index.html index 585e7ebf..507a51b5 100644 --- a/tutorials/index.html +++ b/tutorials/index.html @@ -62,4 +62,4 @@ }; } }); -

    Welcome to the PyTorch3D Tutorials

    Here you can learn about the structure and applications of PyTorch3D from examples which are in the form of ipython notebooks.

    Run interactively

    At the top of each example you can find a button named "Run in Google Colab" which will open the notebook in Google Colaboratory where you can run the code directly in the browser with access to GPU support - it looks like this:

    Run in Google Colab

    You can modify the code and experiment with varying different settings. Remember to install the latest stable version of PyTorch3D and its dependencies. Code to do this with pip is provided in each notebook.

    Run locally

    There is also a button to download the notebook and source code to run it locally.

    \ No newline at end of file +

    Welcome to the PyTorch3D Tutorials

    Here you can learn about the structure and applications of PyTorch3D from examples which are in the form of ipython notebooks.

    Run interactively

    At the top of each example you can find a button named "Run in Google Colab" which will open the notebook in Google Colaboratory where you can run the code directly in the browser with access to GPU support - it looks like this:

    Run in Google Colab

    You can modify the code and experiment with varying different settings. Remember to install the latest stable version of PyTorch3D and its dependencies. Code to do this with pip is provided in each notebook.

    Run locally

    There is also a button to download the notebook and source code to run it locally.

    \ No newline at end of file diff --git a/tutorials/render_colored_points.html b/tutorials/render_colored_points.html index 8fdf3a1c..5c0c2c18 100644 --- a/tutorials/render_colored_points.html +++ b/tutorials/render_colored_points.html @@ -554,4 +554,4 @@ Sphere-based Representations.

    - \ No newline at end of file + \ No newline at end of file diff --git a/tutorials/render_colored_points/index.html b/tutorials/render_colored_points/index.html index 8fdf3a1c..5c0c2c18 100644 --- a/tutorials/render_colored_points/index.html +++ b/tutorials/render_colored_points/index.html @@ -554,4 +554,4 @@ Sphere-based Representations.

    - \ No newline at end of file + \ No newline at end of file diff --git a/tutorials/render_densepose.html b/tutorials/render_densepose.html index cc1c10df..5e0a7dd5 100644 --- a/tutorials/render_densepose.html +++ b/tutorials/render_densepose.html @@ -503,4 +503,4 @@ In this tutorial, we provide an example of using DensePose data in PyTorch3D.

    - \ No newline at end of file + \ No newline at end of file diff --git a/tutorials/render_densepose/index.html b/tutorials/render_densepose/index.html index cc1c10df..5e0a7dd5 100644 --- a/tutorials/render_densepose/index.html +++ b/tutorials/render_densepose/index.html @@ -503,4 +503,4 @@ In this tutorial, we provide an example of using DensePose data in PyTorch3D.

    - \ No newline at end of file + \ No newline at end of file diff --git a/tutorials/render_textured_meshes.html b/tutorials/render_textured_meshes.html index 4bc5b1e1..d6c6b1a2 100644 --- a/tutorials/render_textured_meshes.html +++ b/tutorials/render_textured_meshes.html @@ -764,4 +764,4 @@ The renderer and associated components can take batched inputs and rende - \ No newline at end of file + \ No newline at end of file diff --git a/tutorials/render_textured_meshes/index.html b/tutorials/render_textured_meshes/index.html index 4bc5b1e1..d6c6b1a2 100644 --- a/tutorials/render_textured_meshes/index.html +++ b/tutorials/render_textured_meshes/index.html @@ -764,4 +764,4 @@ The renderer and associated components can take batched inputs and rende - \ No newline at end of file + \ No newline at end of file diff --git a/users.html b/users.html index 1f92b4ca..01c30bec 100644 --- a/users.html +++ b/users.html @@ -6,4 +6,4 @@ ga('create', 'UA-157376881-1', 'auto'); ga('send', 'pageview'); -

    Who is Using This?

    This project is used by many folks

    User1

    Are you using this project?

    Add your company
    \ No newline at end of file +

    Who is Using This?

    This project is used by many folks

    User1

    Are you using this project?

    Add your company
    \ No newline at end of file diff --git a/users/index.html b/users/index.html index 1f92b4ca..01c30bec 100644 --- a/users/index.html +++ b/users/index.html @@ -6,4 +6,4 @@ ga('create', 'UA-157376881-1', 'auto'); ga('send', 'pageview'); -

    Who is Using This?

    This project is used by many folks

    User1

    Are you using this project?

    Add your company
    \ No newline at end of file +

    Who is Using This?

    This project is used by many folks

    User1

    Are you using this project?

    Add your company
    \ No newline at end of file