1 Commits
V0.7.8 ... v0.6

Author SHA1 Message Date
Jeremy Francis Reizenstein
3fc3ea507b PyTorch>1.9 version str
Make code for downloading linux wheels robust to double-digit PyTorch version.
2021-12-17 06:01:51 -08:00
868 changed files with 5448 additions and 70290 deletions

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@@ -1,5 +1,5 @@
#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the

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@@ -1,5 +1,5 @@
#!/bin/bash -e
# Copyright (c) Meta Platforms, Inc. and affiliates.
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the

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@@ -64,7 +64,7 @@ jobs:
CUDA_VERSION: "11.3"
resource_class: gpu.nvidia.small.multi
machine:
image: linux-cuda-11:default
image: ubuntu-2004:202101-01
steps:
- checkout
- <<: *setupcuda
@@ -81,7 +81,7 @@ jobs:
command: |
export LD_LIBRARY_PATH=$LD_LIBARY_PATH:/usr/local/cuda-11.3/lib64
python3 setup.py build_ext --inplace
- run: LD_LIBRARY_PATH=$LD_LIBARY_PATH:/usr/local/cuda-11.3/lib64 python -m unittest discover -v -s tests -t .
- run: LD_LIBRARY_PATH=$LD_LIBARY_PATH:/usr/local/cuda-11.3/lib64 python -m unittest discover -v -s tests
- run: python3 setup.py bdist_wheel
binary_linux_wheel:
@@ -116,8 +116,8 @@ jobs:
# so we aren't running the tests.
- run:
name: build
no_output_timeout: 40m
command: MAX_JOBS=15 TEST_FLAG=--no-test python3 packaging/build_conda.py
no_output_timeout: 20m
command: MAX_JOBS=15 TEST_FLAG=--no-test packaging/build_conda.sh
- store_artifacts:
path: /opt/conda/conda-bld/linux-64
- persist_to_workspace:
@@ -128,15 +128,55 @@ jobs:
binary_linux_conda_cuda:
<<: *binary_common
machine:
image: linux-cuda-11:default
image: ubuntu-1604:201903-01
resource_class: gpu.nvidia.small.multi
steps:
- checkout
- run:
name: Setup environment
command: |
set -e
curl -L https://packagecloud.io/circleci/trusty/gpgkey | sudo apt-key add -
curl -L https://dl.google.com/linux/linux_signing_key.pub | sudo apt-key add -
sudo apt-get update
sudo apt-get install \
apt-transport-https \
ca-certificates \
curl \
gnupg-agent \
software-properties-common
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
sudo add-apt-repository \
"deb [arch=amd64] https://download.docker.com/linux/ubuntu \
$(lsb_release -cs) \
stable"
sudo apt-get update
export DOCKER_VERSION="5:19.03.2~3-0~ubuntu-xenial"
sudo apt-get install docker-ce=${DOCKER_VERSION} docker-ce-cli=${DOCKER_VERSION} containerd.io=1.2.6-3
# Add the package repositories
distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add -
curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list
export NVIDIA_CONTAINER_VERSION="1.0.3-1"
sudo apt-get update && sudo apt-get install -y nvidia-container-toolkit=${NVIDIA_CONTAINER_VERSION}
sudo systemctl restart docker
DRIVER_FN="NVIDIA-Linux-x86_64-460.84.run"
wget "https://us.download.nvidia.com/XFree86/Linux-x86_64/460.84/$DRIVER_FN"
sudo /bin/bash "$DRIVER_FN" -s --no-drm || (sudo cat /var/log/nvidia-installer.log && false)
nvidia-smi
- run:
name: Pull docker image
command: |
nvidia-smi
set -e
{ docker login -u="$DOCKERHUB_USERNAME" -p="$DOCKERHUB_TOKEN" ; } 2> /dev/null
@@ -145,7 +185,7 @@ jobs:
docker pull $TESTRUN_DOCKER_IMAGE
- run:
name: Build and run tests
no_output_timeout: 40m
no_output_timeout: 20m
command: |
set -e
@@ -154,7 +194,25 @@ jobs:
export JUST_TESTRUN=1
VARS_TO_PASS="-e PYTHON_VERSION -e BUILD_VERSION -e PYTORCH_VERSION -e CU_VERSION -e JUST_TESTRUN"
docker run --gpus all --ipc=host -v $(pwd):/remote -w /remote ${VARS_TO_PASS} ${TESTRUN_DOCKER_IMAGE} python3 ./packaging/build_conda.py
docker run --gpus all --ipc=host -v $(pwd):/remote -w /remote ${VARS_TO_PASS} ${TESTRUN_DOCKER_IMAGE} ./packaging/build_conda.sh
binary_macos_wheel:
<<: *binary_common
macos:
xcode: "12.0"
steps:
- checkout
- run:
# Cannot easily deduplicate this as source'ing activate
# will set environment variables which we need to propagate
# to build_wheel.sh
command: |
curl -o conda.sh https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-x86_64.sh
sh conda.sh -b
source $HOME/miniconda3/bin/activate
packaging/build_wheel.sh
- store_artifacts:
path: dist
workflows:
version: 2
@@ -164,8 +222,28 @@ workflows:
# context: DOCKERHUB_TOKEN
{{workflows()}}
- binary_linux_conda_cuda:
name: testrun_conda_cuda_py310_cu117_pyt201
name: testrun_conda_cuda_py37_cu102_pyt170
context: DOCKERHUB_TOKEN
python_version: "3.10"
pytorch_version: '2.0.1'
cu_version: "cu117"
python_version: "3.7"
pytorch_version: '1.7.0'
cu_version: "cu102"
- binary_macos_wheel:
cu_version: cpu
name: macos_wheel_py36_cpu
python_version: '3.6'
pytorch_version: '1.9.0'
- binary_macos_wheel:
cu_version: cpu
name: macos_wheel_py37_cpu
python_version: '3.7'
pytorch_version: '1.9.0'
- binary_macos_wheel:
cu_version: cpu
name: macos_wheel_py38_cpu
python_version: '3.8'
pytorch_version: '1.9.0'
- binary_macos_wheel:
cu_version: cpu
name: macos_wheel_py39_cpu
python_version: '3.9'
pytorch_version: '1.9.0'

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@@ -1,5 +1,5 @@
#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
@@ -13,56 +13,40 @@ import os.path
import jinja2
import yaml
from packaging import version
# The CUDA versions which have pytorch conda packages available for linux for each
# version of pytorch.
# Pytorch 1.4 also supports cuda 10.0 but we no longer build for cuda 10.0 at all.
CONDA_CUDA_VERSIONS = {
"2.1.0": ["cu118", "cu121"],
"2.1.1": ["cu118", "cu121"],
"2.1.2": ["cu118", "cu121"],
"2.2.0": ["cu118", "cu121"],
"2.2.2": ["cu118", "cu121"],
"2.3.1": ["cu118", "cu121"],
"2.4.0": ["cu118", "cu121"],
"2.4.1": ["cu118", "cu121"],
"1.6.0": ["cu92", "cu101", "cu102"],
"1.7.0": ["cu101", "cu102", "cu110"],
"1.7.1": ["cu101", "cu102", "cu110"],
"1.8.0": ["cu101", "cu102", "cu111"],
"1.8.1": ["cu101", "cu102", "cu111"],
"1.9.0": ["cu102", "cu111"],
"1.9.1": ["cu102", "cu111"],
"1.10.0": ["cu102", "cu111", "cu113"],
}
def conda_docker_image_for_cuda(cuda_version):
if len(cuda_version) != 5:
raise ValueError("Unknown cuda version")
return "pytorch/conda-builder:cuda" + cuda_version[2:]
if cuda_version == "cu113":
return "pytorch/conda-builder:cuda113"
return None
def pytorch_versions_for_python(python_version):
if python_version in ["3.8", "3.9"]:
if python_version in ["3.6", "3.7", "3.8"]:
return list(CONDA_CUDA_VERSIONS)
if python_version == "3.10":
return [
i
for i in CONDA_CUDA_VERSIONS
if version.Version(i) >= version.Version("1.11.0")
]
if python_version == "3.11":
return [
i
for i in CONDA_CUDA_VERSIONS
if version.Version(i) >= version.Version("2.1.0")
]
if python_version == "3.12":
return [
i
for i in CONDA_CUDA_VERSIONS
if version.Version(i) >= version.Version("2.2.0")
]
pytorch_without_py39 = ["1.4", "1.5.0", "1.5.1", "1.6.0", "1.7.0"]
return [i for i in CONDA_CUDA_VERSIONS if i not in pytorch_without_py39]
def workflows(prefix="", filter_branch=None, upload=False, indentation=6):
w = []
for btype in ["conda"]:
for python_version in ["3.8", "3.9", "3.10", "3.11", "3.12"]:
for python_version in ["3.6", "3.7", "3.8", "3.9"]:
for pytorch_version in pytorch_versions_for_python(python_version):
for cu_version in CONDA_CUDA_VERSIONS[pytorch_version]:
w += workflow_pair(

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@@ -1,8 +1,5 @@
[flake8]
# B028 No explicit stacklevel argument found.
# B907 'foo' is manually surrounded by quotes, consider using the `!r` conversion flag.
# B905 `zip()` without an explicit `strict=` parameter.
ignore = E203, E266, E501, W503, E221, B028, B905, B907
ignore = E203, E266, E501, W503, E221
max-line-length = 88
max-complexity = 18
select = B,C,E,F,W,T4,B9

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@@ -16,13 +16,14 @@ We do not always accept new features, and we take the following factors into con
When sending a PR, please ensure you complete the following steps:
1. Fork the repo and create your branch from `main`. Follow the instructions
1. Fork the repo and create your branch from `master`. Follow the instructions
in [INSTALL.md](../INSTALL.md) to build the repo.
2. If you've added code that should be tested, add tests.
3. If you've changed any APIs, please update the documentation.
4. Ensure the test suite passes, by running this from the project root:
4. Ensure the test suite passes:
```
python -m unittest discover -v -s tests -t .
cd pytorch3d/tests
python -m unittest -v
```
5. Make sure your code lints by running `dev/linter.sh` from the project root.
6. If a PR contains multiple orthogonal changes, split it into multiple separate PRs.
@@ -45,7 +46,7 @@ outlined on that page and do not file a public issue.
## Coding Style
We follow these [python](http://google.github.io/styleguide/pyguide.html) and [C++](https://google.github.io/styleguide/cppguide.html) style guides.
For the linter to work, you will need to install `black`, `flake`, `usort` and `clang-format`, and
For the linter to work, you will need to install `black`, `flake`, `isort` and `clang-format`, and
they need to be fairly up to date.
## License

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27
.github/workflows/stale.yml vendored Normal file
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@@ -0,0 +1,27 @@
name: Mark stale issues and pull requests
on:
schedule:
- cron: '31 5 * * *'
jobs:
stale:
runs-on: ubuntu-latest
permissions:
issues: write
pull-requests: write
steps:
- uses: actions/stale@v3
with:
repo-token: ${{ secrets.GITHUB_TOKEN }}
exempt-issue-labels: 'enhancement,how-to'
stale-issue-message: 'This issue is stale because it has been open 30 days with no activity. Remove stale label or comment or this will be closed in 5 days.'
stale-pr-message: 'This PR is stale because it has been open 45 days with no activity. Remove stale label or comment or this will be closed in 10 days.'
close-issue-message: 'This issue was closed because it has been stalled for 5 days with no activity.'
close-pr-message: 'This PR was closed because it has been stalled for 10 days with no activity.'
days-before-issue-stale: 30
days-before-pr-stale: 45
days-before-issue-close: 5
days-before-pr-close: 10

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@@ -8,23 +8,24 @@
The core library is written in PyTorch. Several components have underlying implementation in CUDA for improved performance. A subset of these components have CPU implementations in C++/PyTorch. It is advised to use PyTorch3D with GPU support in order to use all the features.
- Linux or macOS or Windows
- Python
- PyTorch 2.1.0, 2.1.1, 2.1.2, 2.2.0, 2.2.1, 2.2.2, 2.3.0, 2.3.1, 2.4.0 or 2.4.1.
- Python 3.6, 3.7, 3.8 or 3.9
- PyTorch 1.6.0, 1.7.0, 1.7.1, 1.8.0, 1.8.1, 1.9.0, 1.9.1 or 1.10.0.
- torchvision that matches the PyTorch installation. You can install them together as explained at pytorch.org to make sure of this.
- gcc & g++ ≥ 4.9
- [fvcore](https://github.com/facebookresearch/fvcore)
- [ioPath](https://github.com/facebookresearch/iopath)
- If CUDA is to be used, use a version which is supported by the corresponding pytorch version and at least version 9.2.
- If CUDA older than 11.7 is to be used and you are building from source, the CUB library must be available. We recommend version 1.10.0.
- If CUDA is to be used and you are building from source, the CUB library must be available. We recommend version 1.10.0.
The runtime dependencies can be installed by running:
```
conda create -n pytorch3d python=3.9
conda activate pytorch3d
conda install pytorch=1.13.0 torchvision pytorch-cuda=11.6 -c pytorch -c nvidia
conda install -c iopath iopath
conda install -c pytorch pytorch=1.9.1 torchvision cudatoolkit=10.2
conda install -c fvcore -c iopath -c conda-forge fvcore iopath
```
For the CUB build time dependency, which you only need if you have CUDA older than 11.7, if you are using conda, you can continue with
For the CUB build time dependency, if you are using conda, you can continue with
```
conda install -c bottler nvidiacub
```
@@ -42,13 +43,12 @@ export CUB_HOME=$PWD/cub-1.10.0
For developing on top of PyTorch3D or contributing, you will need to run the linter and tests. If you want to run any of the notebook tutorials as `docs/tutorials` or the examples in `docs/examples` you will also need matplotlib and OpenCV.
- scikit-image
- black
- usort
- isort
- flake8
- matplotlib
- tdqm
- jupyter
- imageio
- fvcore
- plotly
- opencv-python
@@ -59,8 +59,7 @@ conda install jupyter
pip install scikit-image matplotlib imageio plotly opencv-python
# Tests/Linting
conda install -c fvcore -c conda-forge fvcore
pip install black usort flake8 flake8-bugbear flake8-comprehensions
pip install black 'isort<5' flake8 flake8-bugbear flake8-comprehensions
```
## Installing prebuilt binaries for PyTorch3D
@@ -78,14 +77,19 @@ Or, to install a nightly (non-official, alpha) build:
# Anaconda Cloud
conda install pytorch3d -c pytorch3d-nightly
```
### 2. Install wheels for Linux
We have prebuilt wheels with CUDA for Linux for PyTorch 1.11.0, for each of the supported CUDA versions,
for Python 3.8 and 3.9. This is for ease of use on Google Colab.
These are installed in a special way.
For example, to install for Python 3.8, PyTorch 1.11.0 and CUDA 11.3
### 2. Install from PyPI, on Mac only.
This works with pytorch 1.9.0 only. The build is CPU only.
```
pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/py38_cu113_pyt1110/download.html
pip install pytorch3d
```
### 3. Install wheels for Linux
We have prebuilt wheels with CUDA for Linux for PyTorch 1.10.0, for each of the CUDA versions that they support,
for Python 3.7, 3.8 and 3.9.
These are installed in a special way.
For example, to install for Python 3.8, PyTorch 1.9.0 and CUDA 10.2
```
pip install pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/py38_cu102_pyt1100/download.html
```
In general, from inside IPython, or in Google Colab or a jupyter notebook, you can install with
@@ -98,8 +102,7 @@ version_str="".join([
torch.version.cuda.replace(".",""),
f"_pyt{pyt_version_str}"
])
!pip install iopath
!pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html
!pip install pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html
```
## Building / installing from source.
@@ -144,10 +147,10 @@ After any necessary patching, you can go to "x64 Native Tools Command Prompt for
cd pytorch3d
python3 setup.py install
```
After installing, you can run **unit tests**
After installing, verify whether all unit tests have passed
```
python3 -m unittest discover -v -s tests -t .
cd tests
python3 -m unittest discover -p *.py
```
# FAQ

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@@ -2,7 +2,7 @@ BSD License
For PyTorch3D software
Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.
Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
Redistribution and use in source and binary forms, with or without modification,
are permitted provided that the following conditions are met:
@@ -14,7 +14,7 @@ are permitted provided that the following conditions are met:
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.
* Neither the name Meta nor the names of its contributors may be used to
* Neither the name Facebook nor the names of its contributors may be used to
endorse or promote products derived from this software without specific
prior written permission.

View File

@@ -1,71 +0,0 @@
SRN license ( https://github.com/vsitzmann/scene-representation-networks/ ):
MIT License
Copyright (c) 2019 Vincent Sitzmann
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
IDR license ( github.com/lioryariv/idr ):
MIT License
Copyright (c) 2020 Lior Yariv
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
NeRF https://github.com/bmild/nerf/
Copyright (c) 2020 bmild
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

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@@ -12,7 +12,6 @@ Key features include:
- Data structure for storing and manipulating triangle meshes
- Efficient operations on triangle meshes (projective transformations, graph convolution, sampling, loss functions)
- A differentiable mesh renderer
- Implicitron, see [its README](projects/implicitron_trainer), a framework for new-view synthesis via implicit representations. ([blog post](https://ai.facebook.com/blog/implicitron-a-new-modular-extensible-framework-for-neural-implicit-representations-in-pytorch3d/))
PyTorch3D is designed to integrate smoothly with deep learning methods for predicting and manipulating 3D data.
For this reason, all operators in PyTorch3D:
@@ -24,8 +23,6 @@ For this reason, all operators in PyTorch3D:
Within FAIR, PyTorch3D has been used to power research projects such as [Mesh R-CNN](https://arxiv.org/abs/1906.02739).
See our [blog post](https://ai.facebook.com/blog/-introducing-pytorch3d-an-open-source-library-for-3d-deep-learning/) to see more demos and learn about PyTorch3D.
## Installation
For detailed instructions refer to [INSTALL.md](INSTALL.md).
@@ -58,11 +55,6 @@ Get started with PyTorch3D by trying one of the tutorial notebooks.
|:------------------------------------------------------------:|:--------------------------------------------------:|
| [Fit Textured Volume](https://github.com/facebookresearch/pytorch3d/blob/main/docs/tutorials/fit_textured_volume.ipynb)| [Fit A Simple Neural Radiance Field](https://github.com/facebookresearch/pytorch3d/blob/main/docs/tutorials/fit_simple_neural_radiance_field.ipynb)|
| <img src="https://raw.githubusercontent.com/facebookresearch/pytorch3d/main/.github/fit_textured_volume.gif" width="310"/> | <img src="https://raw.githubusercontent.com/facebookresearch/pytorch3d/main/.github/implicitron_config.gif" width="310" height="310"/>
|:------------------------------------------------------------:|:--------------------------------------------------:|
| [Fit Textured Volume in Implicitron](https://github.com/facebookresearch/pytorch3d/blob/main/docs/tutorials/implicitron_volumes.ipynb)| [Implicitron Config System](https://github.com/facebookresearch/pytorch3d/blob/main/docs/tutorials/implicitron_config_system.ipynb)|
@@ -101,8 +93,6 @@ In alphabetical order:
* Amitav Baruah
* Steve Branson
* Krzysztof Chalupka
* Jiali Duan
* Luya Gao
* Georgia Gkioxari
* Taylor Gordon
@@ -146,22 +136,6 @@ If you are using the pulsar backend for sphere-rendering (the `PulsarPointRender
Please see below for a timeline of the codebase updates in reverse chronological order. We are sharing updates on the releases as well as research projects which are built with PyTorch3D. The changelogs for the releases are available under [`Releases`](https://github.com/facebookresearch/pytorch3d/releases), and the builds can be installed using `conda` as per the instructions in [INSTALL.md](INSTALL.md).
**[Oct 31st 2023]:** PyTorch3D [v0.7.5](https://github.com/facebookresearch/pytorch3d/releases/tag/v0.7.5) released.
**[May 10th 2023]:** PyTorch3D [v0.7.4](https://github.com/facebookresearch/pytorch3d/releases/tag/v0.7.4) released.
**[Apr 5th 2023]:** PyTorch3D [v0.7.3](https://github.com/facebookresearch/pytorch3d/releases/tag/v0.7.3) released.
**[Dec 19th 2022]:** PyTorch3D [v0.7.2](https://github.com/facebookresearch/pytorch3d/releases/tag/v0.7.2) released.
**[Oct 23rd 2022]:** PyTorch3D [v0.7.1](https://github.com/facebookresearch/pytorch3d/releases/tag/v0.7.1) released.
**[Aug 10th 2022]:** PyTorch3D [v0.7.0](https://github.com/facebookresearch/pytorch3d/releases/tag/v0.7.0) released with Implicitron and MeshRasterizerOpenGL.
**[Apr 28th 2022]:** PyTorch3D [v0.6.2](https://github.com/facebookresearch/pytorch3d/releases/tag/v0.6.2) released
**[Dec 16th 2021]:** PyTorch3D [v0.6.1](https://github.com/facebookresearch/pytorch3d/releases/tag/v0.6.1) released
**[Oct 6th 2021]:** PyTorch3D [v0.6.0](https://github.com/facebookresearch/pytorch3d/releases/tag/v0.6.0) released
**[Aug 5th 2021]:** PyTorch3D [v0.5.0](https://github.com/facebookresearch/pytorch3d/releases/tag/v0.5.0) released

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@@ -1,5 +1,5 @@
#!/bin/bash -e
# Copyright (c) Meta Platforms, Inc. and affiliates.
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
@@ -7,17 +7,23 @@
# Run this script at project root by "./dev/linter.sh" before you commit
{
V=$(black --version|cut '-d ' -f3)
code='import distutils.version; assert "19.3" < distutils.version.LooseVersion("'$V'")'
PYTHON=false
command -v python > /dev/null && PYTHON=python
command -v python3 > /dev/null && PYTHON=python3
${PYTHON} -c "${code}" 2> /dev/null
} || {
echo "Linter requires black 19.3b0 or higher!"
exit 1
}
DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
DIR=$(dirname "${DIR}")
if [[ -f "${DIR}/TARGETS" ]]
then
pyfmt "${DIR}"
else
# run usort externally only
echo "Running usort..."
usort "${DIR}"
fi
echo "Running isort..."
isort -y -sp "${DIR}"
echo "Running black..."
black "${DIR}"
@@ -30,7 +36,7 @@ clangformat=$(command -v clang-format-8 || echo clang-format)
find "${DIR}" -regex ".*\.\(cpp\|c\|cc\|cu\|cuh\|cxx\|h\|hh\|hpp\|hxx\|tcc\|mm\|m\)" -print0 | xargs -0 "${clangformat}" -i
# Run arc and pyre internally only.
if [[ -f "${DIR}/TARGETS" ]]
if [[ -f "${DIR}/tests/TARGETS" ]]
then
(cd "${DIR}"; command -v arc > /dev/null && arc lint) || true

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@@ -1,5 +1,5 @@
#!/usr/bin/bash
# Copyright (c) Meta Platforms, Inc. and affiliates.
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
@@ -23,7 +23,7 @@ conda init bash
source ~/.bashrc
conda create -y -n myenv python=3.8 matplotlib ipython ipywidgets nbconvert
conda activate myenv
conda install -y -c iopath iopath
conda install -y -c fvcore -c iopath -c conda-forge fvcore iopath
conda install -y -c pytorch pytorch=1.6.0 cudatoolkit=10.1 torchvision
conda install -y -c pytorch3d-nightly pytorch3d
pip install plotly scikit-image

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@@ -1,65 +0,0 @@
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import ast
from pathlib import Path
from typing import List
"""
This module outputs a list of tests for completion.
It has no dependencies.
"""
def get_test_files() -> List[Path]:
root = Path(__file__).parent.parent
dirs = ["tests", "projects/implicitron_trainer"]
return [i for dir in dirs for i in (root / dir).glob("**/test*.py")]
def tests_from_file(path: Path, base: str) -> List[str]:
"""
Returns all the tests in the given file, in format
expected as arguments when running the tests.
e.g.
file_stem
file_stem.TestFunctionality
file_stem.TestFunctionality.test_f
file_stem.TestFunctionality.test_g
"""
with open(path) as f:
node = ast.parse(f.read())
out = [base]
for cls in node.body:
if not isinstance(cls, ast.ClassDef):
continue
if not cls.name.startswith("Test"):
continue
class_base = base + "." + cls.name
out.append(class_base)
for method in cls.body:
if not isinstance(method, ast.FunctionDef):
continue
if not method.name.startswith("test"):
continue
out.append(class_base + "." + method.name)
return out
def main() -> None:
files = get_test_files()
test_root = Path(__file__).parent.parent
all_tests = []
for f in files:
file_base = str(f.relative_to(test_root))[:-3].replace("/", ".")
all_tests.extend(tests_from_file(f, file_base))
for test in sorted(all_tests):
print(test)
if __name__ == "__main__":
main()

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@@ -1,27 +0,0 @@
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
# Read the Docs configuration file
# See https://docs.readthedocs.io/en/stable/config-file/v2.html for details
# Required
version: 2
# Set the version of Python and other tools you might need
build:
os: ubuntu-22.04
tools:
python: "3.11"
# Build documentation in the docs/ directory with Sphinx
sphinx:
configuration: docs/conf.py
# We recommend specifying your dependencies to enable reproducible builds:
# https://docs.readthedocs.io/en/stable/guides/reproducible-builds.html
python:
install:
- requirements: docs/requirements.txt

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@@ -1,8 +1,4 @@
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# Minimal makefile for Sphinx documentation

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@@ -3,7 +3,7 @@
### Install dependencies
```
pip install -U recommonmark sphinx sphinx_rtd_theme sphinx_markdown_tables
pip install -U recommonmark mock sphinx sphinx_rtd_theme sphinx_markdown_tables
```
### Add symlink to the root README.md

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@@ -1,5 +1,5 @@
# -*- coding: utf-8 -*-
# Copyright (c) Meta Platforms, Inc. and affiliates.
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
@@ -20,8 +20,7 @@
import os
import sys
import unittest.mock as mock
import mock
from recommonmark.parser import CommonMarkParser
from recommonmark.states import DummyStateMachine
from sphinx.builders.html import StandaloneHTMLBuilder

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@@ -1,5 +1,5 @@
#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the

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@@ -1,5 +1,5 @@
#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the

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@@ -1,5 +1,5 @@
#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the

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@@ -1,5 +1,5 @@
#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the

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@@ -1,5 +1,5 @@
#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the

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@@ -1,5 +1,5 @@
#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the

View File

@@ -1,5 +1,5 @@
#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the

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@@ -1,162 +0,0 @@
#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
"""
This script makes the stubs for implicitron in docs/modules.
"""
from pathlib import Path
ROOT_DIR = Path(__file__).resolve().parent.parent
def paths_to_modules(paths):
"""
Given an iterable of paths, return equivalent list of modules.
"""
return [
str(i.relative_to(ROOT_DIR))[:-3].replace("/", ".")
for i in paths
if "__pycache__" not in str(i)
]
def create_one_file(title, description, sources, dest_file):
with open(dest_file, "w") as f:
print(title, file=f)
print("=" * len(title), file=f)
print(file=f)
print(description, file=f)
for source in sources:
if source.find("._") != -1:
# ignore internal modules including __init__.py
continue
print(f"\n.. automodule:: {source}", file=f)
print(" :members:", file=f)
print(" :undoc-members:", file=f)
print(" :show-inheritance:", file=f)
def iterate_directory(directory_path, dest):
"""
Create a file for each module in the given path
"""
toc = []
if not dest.exists():
dest.mkdir()
for file in sorted(directory_path.glob("*.py")):
if file.stem.startswith("_"):
continue
module = paths_to_modules([file])
create_one_file(module[0], file.stem, module, dest / f"{file.stem}.rst")
toc.append(file.stem)
for subdir in directory_path.iterdir():
if not subdir.is_dir():
continue
if subdir.name == "fb":
continue
if subdir.name.startswith("_"):
continue
iterate_directory(subdir, dest / (subdir.name))
toc.append(f"{subdir.name}/index")
paths_to_modules_ = paths_to_modules([directory_path.with_suffix(".XX")])
if len(paths_to_modules_) == 0:
return
title = paths_to_modules_[0]
with open(dest / "index.rst", "w") as f:
print(title, file=f)
print("=" * len(title), file=f)
print("\n.. toctree::\n", file=f)
for item in toc:
print(f" {item}", file=f)
def make_directory_index(title: str, directory_path: Path):
index_file = directory_path / "index.rst"
directory_rsts = sorted(directory_path.glob("*.rst"))
subdirs = sorted([f for f in directory_path.iterdir() if f.is_dir()])
with open(index_file, "w") as f:
print(title, file=f)
print("=" * len(title), file=f)
print("\n.. toctree::\n", file=f)
for subdir in subdirs:
print(f" {subdir.stem}/index.rst", file=f)
for rst in directory_rsts:
if rst.stem == "index":
continue
print(f" {rst.stem}", file=f)
def do_implicitron():
DEST_DIR = Path(__file__).resolve().parent / "modules/implicitron"
iterate_directory(ROOT_DIR / "pytorch3d/implicitron/models", DEST_DIR / "models")
unwanted_tools = ["configurable", "depth_cleanup", "utils"]
tools_sources = sorted(ROOT_DIR.glob("pytorch3d/implicitron/tools/*.py"))
tools_modules = [
str(i.relative_to(ROOT_DIR))[:-3].replace("/", ".")
for i in tools_sources
if i.stem not in unwanted_tools
]
create_one_file(
"pytorch3d.implicitron.tools",
"Tools for implicitron",
tools_modules,
DEST_DIR / "tools.rst",
)
dataset_files = sorted(ROOT_DIR.glob("pytorch3d/implicitron/dataset/*.py"))
basic_dataset = [
"dataset_base",
"dataset_map_provider",
"data_loader_map_provider",
"data_source",
"scene_batch_sampler",
]
basic_dataset_modules = [
f"pytorch3d.implicitron.dataset.{i}" for i in basic_dataset
]
create_one_file(
"pytorch3d.implicitron.dataset in general",
"Basics of data for implicitron",
basic_dataset_modules,
DEST_DIR / "data_basics.rst",
)
specific_dataset_files = [
i for i in dataset_files if i.stem.find("_dataset_map_provider") != -1
]
create_one_file(
"pytorch3d.implicitron.dataset specific datasets",
"specific datasets",
paths_to_modules(specific_dataset_files),
DEST_DIR / "datasets.rst",
)
evaluation_files = sorted(ROOT_DIR.glob("pytorch3d/implicitron/evaluation/*.py"))
create_one_file(
"pytorch3d.implicitron.evaluation",
"evaluation",
paths_to_modules(evaluation_files),
DEST_DIR / "evaluation.rst",
)
make_directory_index("pytorch3d.implicitron", DEST_DIR)
def iterate_toplevel_module(name: str) -> None:
dest_dir = Path(__file__).resolve().parent / "modules" / name
iterate_directory(ROOT_DIR / "pytorch3d" / name, dest_dir)
do_implicitron()
iterate_toplevel_module("renderer")
iterate_toplevel_module("vis")

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@@ -1,29 +0,0 @@
pytorch3d.implicitron.dataset in general
========================================
Basics of data for implicitron
.. automodule:: pytorch3d.implicitron.dataset.dataset_base
:members:
:undoc-members:
:show-inheritance:
.. automodule:: pytorch3d.implicitron.dataset.dataset_map_provider
:members:
:undoc-members:
:show-inheritance:
.. automodule:: pytorch3d.implicitron.dataset.data_loader_map_provider
:members:
:undoc-members:
:show-inheritance:
.. automodule:: pytorch3d.implicitron.dataset.data_source
:members:
:undoc-members:
:show-inheritance:
.. automodule:: pytorch3d.implicitron.dataset.scene_batch_sampler
:members:
:undoc-members:
:show-inheritance:

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@@ -1,29 +0,0 @@
pytorch3d.implicitron.dataset specific datasets
===============================================
specific datasets
.. automodule:: pytorch3d.implicitron.dataset.blender_dataset_map_provider
:members:
:undoc-members:
:show-inheritance:
.. automodule:: pytorch3d.implicitron.dataset.json_index_dataset_map_provider
:members:
:undoc-members:
:show-inheritance:
.. automodule:: pytorch3d.implicitron.dataset.json_index_dataset_map_provider_v2
:members:
:undoc-members:
:show-inheritance:
.. automodule:: pytorch3d.implicitron.dataset.llff_dataset_map_provider
:members:
:undoc-members:
:show-inheritance:
.. automodule:: pytorch3d.implicitron.dataset.rendered_mesh_dataset_map_provider
:members:
:undoc-members:
:show-inheritance:

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@@ -1,14 +0,0 @@
pytorch3d.implicitron.evaluation
================================
evaluation
.. automodule:: pytorch3d.implicitron.evaluation.evaluate_new_view_synthesis
:members:
:undoc-members:
:show-inheritance:
.. automodule:: pytorch3d.implicitron.evaluation.evaluator
:members:
:undoc-members:
:show-inheritance:

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@@ -1,10 +0,0 @@
pytorch3d.implicitron
=====================
.. toctree::
models/index.rst
data_basics
datasets
evaluation
tools

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@@ -1,9 +0,0 @@
pytorch3d.implicitron.models.base_model
=======================================
base_model
.. automodule:: pytorch3d.implicitron.models.base_model
:members:
:undoc-members:
:show-inheritance:

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@@ -1,9 +0,0 @@
pytorch3d.implicitron.models.feature_extractor.feature_extractor
================================================================
feature_extractor
.. automodule:: pytorch3d.implicitron.models.feature_extractor.feature_extractor
:members:
:undoc-members:
:show-inheritance:

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@@ -1,7 +0,0 @@
pytorch3d.implicitron.models.feature_extractor
==============================================
.. toctree::
feature_extractor
resnet_feature_extractor

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@@ -1,9 +0,0 @@
pytorch3d.implicitron.models.feature_extractor.resnet_feature_extractor
=======================================================================
resnet_feature_extractor
.. automodule:: pytorch3d.implicitron.models.feature_extractor.resnet_feature_extractor
:members:
:undoc-members:
:show-inheritance:

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@@ -1,9 +0,0 @@
pytorch3d.implicitron.models.generic_model
==========================================
generic_model
.. automodule:: pytorch3d.implicitron.models.generic_model
:members:
:undoc-members:
:show-inheritance:

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@@ -1,9 +0,0 @@
pytorch3d.implicitron.models.global_encoder.autodecoder
=======================================================
autodecoder
.. automodule:: pytorch3d.implicitron.models.global_encoder.autodecoder
:members:
:undoc-members:
:show-inheritance:

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@@ -1,9 +0,0 @@
pytorch3d.implicitron.models.global_encoder.global_encoder
==========================================================
global_encoder
.. automodule:: pytorch3d.implicitron.models.global_encoder.global_encoder
:members:
:undoc-members:
:show-inheritance:

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@@ -1,7 +0,0 @@
pytorch3d.implicitron.models.global_encoder
===========================================
.. toctree::
autodecoder
global_encoder

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@@ -1,9 +0,0 @@
pytorch3d.implicitron.models.implicit_function.base
===================================================
base
.. automodule:: pytorch3d.implicitron.models.implicit_function.base
:members:
:undoc-members:
:show-inheritance:

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@@ -1,9 +0,0 @@
pytorch3d.implicitron.models.implicit_function.decoding_functions
=================================================================
decoding_functions
.. automodule:: pytorch3d.implicitron.models.implicit_function.decoding_functions
:members:
:undoc-members:
:show-inheritance:

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@@ -1,9 +0,0 @@
pytorch3d.implicitron.models.implicit_function.idr_feature_field
================================================================
idr_feature_field
.. automodule:: pytorch3d.implicitron.models.implicit_function.idr_feature_field
:members:
:undoc-members:
:show-inheritance:

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@@ -1,13 +0,0 @@
pytorch3d.implicitron.models.implicit_function
==============================================
.. toctree::
base
decoding_functions
idr_feature_field
neural_radiance_field
scene_representation_networks
utils
voxel_grid
voxel_grid_implicit_function

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@@ -1,9 +0,0 @@
pytorch3d.implicitron.models.implicit_function.neural_radiance_field
====================================================================
neural_radiance_field
.. automodule:: pytorch3d.implicitron.models.implicit_function.neural_radiance_field
:members:
:undoc-members:
:show-inheritance:

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@@ -1,9 +0,0 @@
pytorch3d.implicitron.models.implicit_function.scene_representation_networks
============================================================================
scene_representation_networks
.. automodule:: pytorch3d.implicitron.models.implicit_function.scene_representation_networks
:members:
:undoc-members:
:show-inheritance:

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@@ -1,9 +0,0 @@
pytorch3d.implicitron.models.implicit_function.utils
====================================================
utils
.. automodule:: pytorch3d.implicitron.models.implicit_function.utils
:members:
:undoc-members:
:show-inheritance:

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@@ -1,9 +0,0 @@
pytorch3d.implicitron.models.implicit_function.voxel_grid
=========================================================
voxel_grid
.. automodule:: pytorch3d.implicitron.models.implicit_function.voxel_grid
:members:
:undoc-members:
:show-inheritance:

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@@ -1,9 +0,0 @@
pytorch3d.implicitron.models.implicit_function.voxel_grid_implicit_function
===========================================================================
voxel_grid_implicit_function
.. automodule:: pytorch3d.implicitron.models.implicit_function.voxel_grid_implicit_function
:members:
:undoc-members:
:show-inheritance:

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@@ -1,15 +0,0 @@
pytorch3d.implicitron.models
============================
.. toctree::
base_model
generic_model
metrics
model_dbir
feature_extractor/index
global_encoder/index
implicit_function/index
renderer/index
view_pooler/index
visualization/index

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@@ -1,9 +0,0 @@
pytorch3d.implicitron.models.metrics
====================================
metrics
.. automodule:: pytorch3d.implicitron.models.metrics
:members:
:undoc-members:
:show-inheritance:

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@@ -1,9 +0,0 @@
pytorch3d.implicitron.models.model_dbir
=======================================
model_dbir
.. automodule:: pytorch3d.implicitron.models.model_dbir
:members:
:undoc-members:
:show-inheritance:

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@@ -1,9 +0,0 @@
pytorch3d.implicitron.models.renderer.base
==========================================
base
.. automodule:: pytorch3d.implicitron.models.renderer.base
:members:
:undoc-members:
:show-inheritance:

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@@ -1,14 +0,0 @@
pytorch3d.implicitron.models.renderer
=====================================
.. toctree::
base
lstm_renderer
multipass_ea
ray_point_refiner
ray_sampler
ray_tracing
raymarcher
rgb_net
sdf_renderer

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@@ -1,9 +0,0 @@
pytorch3d.implicitron.models.renderer.lstm_renderer
===================================================
lstm_renderer
.. automodule:: pytorch3d.implicitron.models.renderer.lstm_renderer
:members:
:undoc-members:
:show-inheritance:

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@@ -1,9 +0,0 @@
pytorch3d.implicitron.models.renderer.multipass_ea
==================================================
multipass_ea
.. automodule:: pytorch3d.implicitron.models.renderer.multipass_ea
:members:
:undoc-members:
:show-inheritance:

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@@ -1,9 +0,0 @@
pytorch3d.implicitron.models.renderer.ray_point_refiner
=======================================================
ray_point_refiner
.. automodule:: pytorch3d.implicitron.models.renderer.ray_point_refiner
:members:
:undoc-members:
:show-inheritance:

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@@ -1,9 +0,0 @@
pytorch3d.implicitron.models.renderer.ray_sampler
=================================================
ray_sampler
.. automodule:: pytorch3d.implicitron.models.renderer.ray_sampler
:members:
:undoc-members:
:show-inheritance:

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@@ -1,9 +0,0 @@
pytorch3d.implicitron.models.renderer.ray_tracing
=================================================
ray_tracing
.. automodule:: pytorch3d.implicitron.models.renderer.ray_tracing
:members:
:undoc-members:
:show-inheritance:

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@@ -1,9 +0,0 @@
pytorch3d.implicitron.models.renderer.raymarcher
================================================
raymarcher
.. automodule:: pytorch3d.implicitron.models.renderer.raymarcher
:members:
:undoc-members:
:show-inheritance:

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@@ -1,9 +0,0 @@
pytorch3d.implicitron.models.renderer.rgb_net
=============================================
rgb_net
.. automodule:: pytorch3d.implicitron.models.renderer.rgb_net
:members:
:undoc-members:
:show-inheritance:

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@@ -1,9 +0,0 @@
pytorch3d.implicitron.models.renderer.sdf_renderer
==================================================
sdf_renderer
.. automodule:: pytorch3d.implicitron.models.renderer.sdf_renderer
:members:
:undoc-members:
:show-inheritance:

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@@ -1,9 +0,0 @@
pytorch3d.implicitron.models.view_pooler.feature_aggregator
===========================================================
feature_aggregator
.. automodule:: pytorch3d.implicitron.models.view_pooler.feature_aggregator
:members:
:undoc-members:
:show-inheritance:

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@@ -1,8 +0,0 @@
pytorch3d.implicitron.models.view_pooler
========================================
.. toctree::
feature_aggregator
view_pooler
view_sampler

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@@ -1,9 +0,0 @@
pytorch3d.implicitron.models.view_pooler.view_pooler
====================================================
view_pooler
.. automodule:: pytorch3d.implicitron.models.view_pooler.view_pooler
:members:
:undoc-members:
:show-inheritance:

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@@ -1,9 +0,0 @@
pytorch3d.implicitron.models.view_pooler.view_sampler
=====================================================
view_sampler
.. automodule:: pytorch3d.implicitron.models.view_pooler.view_sampler
:members:
:undoc-members:
:show-inheritance:

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@@ -1,6 +0,0 @@
pytorch3d.implicitron.models.visualization
==========================================
.. toctree::
render_flyaround

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@@ -1,9 +0,0 @@
pytorch3d.implicitron.models.visualization.render_flyaround
===========================================================
render_flyaround
.. automodule:: pytorch3d.implicitron.models.visualization.render_flyaround
:members:
:undoc-members:
:show-inheritance:

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@@ -1,64 +0,0 @@
pytorch3d.implicitron.tools
===========================
Tools for implicitron
.. automodule:: pytorch3d.implicitron.tools.camera_utils
:members:
:undoc-members:
:show-inheritance:
.. automodule:: pytorch3d.implicitron.tools.circle_fitting
:members:
:undoc-members:
:show-inheritance:
.. automodule:: pytorch3d.implicitron.tools.config
:members:
:undoc-members:
:show-inheritance:
.. automodule:: pytorch3d.implicitron.tools.eval_video_trajectory
:members:
:undoc-members:
:show-inheritance:
.. automodule:: pytorch3d.implicitron.tools.image_utils
:members:
:undoc-members:
:show-inheritance:
.. automodule:: pytorch3d.implicitron.tools.metric_utils
:members:
:undoc-members:
:show-inheritance:
.. automodule:: pytorch3d.implicitron.tools.model_io
:members:
:undoc-members:
:show-inheritance:
.. automodule:: pytorch3d.implicitron.tools.point_cloud_utils
:members:
:undoc-members:
:show-inheritance:
.. automodule:: pytorch3d.implicitron.tools.rasterize_mc
:members:
:undoc-members:
:show-inheritance:
.. automodule:: pytorch3d.implicitron.tools.stats
:members:
:undoc-members:
:show-inheritance:
.. automodule:: pytorch3d.implicitron.tools.video_writer
:members:
:undoc-members:
:show-inheritance:
.. automodule:: pytorch3d.implicitron.tools.vis_utils
:members:
:undoc-members:
:show-inheritance:

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@@ -3,6 +3,7 @@ API Documentation
.. toctree::
common
structures
io
loss
@@ -11,6 +12,3 @@ API Documentation
transforms
utils
datasets
common
vis/index
implicitron/index

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@@ -1,9 +1,7 @@
pytorch3d.renderer.blending
===========================
blending
===========================
.. automodule:: pytorch3d.renderer.blending
:members:
:undoc-members:
:show-inheritance:
:show-inheritance:

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@@ -1,9 +0,0 @@
pytorch3d.renderer.camera_conversions
=====================================
camera_conversions
.. automodule:: pytorch3d.renderer.camera_conversions
:members:
:undoc-members:
:show-inheritance:

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@@ -1,9 +0,0 @@
pytorch3d.renderer.camera_utils
===============================
camera_utils
.. automodule:: pytorch3d.renderer.camera_utils
:members:
:undoc-members:
:show-inheritance:

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@@ -1,9 +1,7 @@
pytorch3d.renderer.cameras
==========================
cameras
===========================
.. automodule:: pytorch3d.renderer.cameras
:members:
:undoc-members:
:show-inheritance:
:show-inheritance:

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@@ -1,9 +0,0 @@
pytorch3d.renderer.compositing
==============================
compositing
.. automodule:: pytorch3d.renderer.compositing
:members:
:undoc-members:
:show-inheritance:

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@@ -1,9 +0,0 @@
pytorch3d.renderer.fisheyecameras
=================================
fisheyecameras
.. automodule:: pytorch3d.renderer.fisheyecameras
:members:
:undoc-members:
:show-inheritance:

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@@ -1,9 +0,0 @@
pytorch3d.renderer.implicit.harmonic_embedding
==============================================
harmonic_embedding
.. automodule:: pytorch3d.renderer.implicit.harmonic_embedding
:members:
:undoc-members:
:show-inheritance:

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@@ -1,11 +0,0 @@
pytorch3d.renderer.implicit
===========================
.. toctree::
harmonic_embedding
raymarching
raysampling
renderer
sample_pdf
utils

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@@ -1,9 +0,0 @@
pytorch3d.renderer.implicit.raymarching
=======================================
raymarching
.. automodule:: pytorch3d.renderer.implicit.raymarching
:members:
:undoc-members:
:show-inheritance:

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@@ -1,9 +0,0 @@
pytorch3d.renderer.implicit.raysampling
=======================================
raysampling
.. automodule:: pytorch3d.renderer.implicit.raysampling
:members:
:undoc-members:
:show-inheritance:

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@@ -1,9 +0,0 @@
pytorch3d.renderer.implicit.renderer
====================================
renderer
.. automodule:: pytorch3d.renderer.implicit.renderer
:members:
:undoc-members:
:show-inheritance:

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@@ -1,9 +0,0 @@
pytorch3d.renderer.implicit.sample_pdf
======================================
sample_pdf
.. automodule:: pytorch3d.renderer.implicit.sample_pdf
:members:
:undoc-members:
:show-inheritance:

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@@ -1,9 +0,0 @@
pytorch3d.renderer.implicit.utils
=================================
utils
.. automodule:: pytorch3d.renderer.implicit.utils
:members:
:undoc-members:
:show-inheritance:

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@@ -1,19 +1,15 @@
pytorch3d.renderer
==================
pytorch3d.renderer
===========================
.. toctree::
blending
camera_conversions
camera_utils
rasterizer
cameras
compositing
fisheyecameras
lighting
materials
splatter_blend
utils
implicit/index
mesh/index
opengl/index
points/index
texturing
blending
shading
shader
renderer
utils

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@@ -1,9 +1,6 @@
pytorch3d.renderer.lighting
===========================
lighting
===========================
.. automodule:: pytorch3d.renderer.lighting
:members:
:undoc-members:
:show-inheritance:
:undoc-members:

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@@ -1,9 +1,7 @@
pytorch3d.renderer.materials
============================
materials
===========================
.. automodule:: pytorch3d.renderer.materials
:members:
:undoc-members:
:show-inheritance:
:show-inheritance:

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@@ -1,9 +0,0 @@
pytorch3d.renderer.mesh.clip
============================
clip
.. automodule:: pytorch3d.renderer.mesh.clip
:members:
:undoc-members:
:show-inheritance:

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@@ -1,13 +0,0 @@
pytorch3d.renderer.mesh
=======================
.. toctree::
clip
rasterize_meshes
rasterizer
renderer
shader
shading
textures
utils

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@@ -1,9 +0,0 @@
pytorch3d.renderer.mesh.rasterize_meshes
========================================
rasterize_meshes
.. automodule:: pytorch3d.renderer.mesh.rasterize_meshes
:members:
:undoc-members:
:show-inheritance:

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@@ -1,9 +0,0 @@
pytorch3d.renderer.mesh.rasterizer
==================================
rasterizer
.. automodule:: pytorch3d.renderer.mesh.rasterizer
:members:
:undoc-members:
:show-inheritance:

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@@ -1,9 +0,0 @@
pytorch3d.renderer.mesh.renderer
================================
renderer
.. automodule:: pytorch3d.renderer.mesh.renderer
:members:
:undoc-members:
:show-inheritance:

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@@ -1,9 +0,0 @@
pytorch3d.renderer.mesh.textures
================================
textures
.. automodule:: pytorch3d.renderer.mesh.textures
:members:
:undoc-members:
:show-inheritance:

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@@ -1,9 +0,0 @@
pytorch3d.renderer.mesh.utils
=============================
utils
.. automodule:: pytorch3d.renderer.mesh.utils
:members:
:undoc-members:
:show-inheritance:

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@@ -1,7 +0,0 @@
pytorch3d.renderer.opengl
=========================
.. toctree::
opengl_utils
rasterizer_opengl

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@@ -1,9 +0,0 @@
pytorch3d.renderer.opengl.opengl_utils
======================================
opengl_utils
.. automodule:: pytorch3d.renderer.opengl.opengl_utils
:members:
:undoc-members:
:show-inheritance:

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@@ -1,9 +0,0 @@
pytorch3d.renderer.opengl.rasterizer_opengl
===========================================
rasterizer_opengl
.. automodule:: pytorch3d.renderer.opengl.rasterizer_opengl
:members:
:undoc-members:
:show-inheritance:

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@@ -1,9 +0,0 @@
pytorch3d.renderer.points.compositor
====================================
compositor
.. automodule:: pytorch3d.renderer.points.compositor
:members:
:undoc-members:
:show-inheritance:

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@@ -1,10 +0,0 @@
pytorch3d.renderer.points
=========================
.. toctree::
compositor
rasterize_points
rasterizer
renderer
pulsar/index

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@@ -1,7 +0,0 @@
pytorch3d.renderer.points.pulsar
================================
.. toctree::
renderer
unified

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@@ -1,9 +0,0 @@
pytorch3d.renderer.points.pulsar.renderer
=========================================
renderer
.. automodule:: pytorch3d.renderer.points.pulsar.renderer
:members:
:undoc-members:
:show-inheritance:

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