1 Commits

Author SHA1 Message Date
Christoph Lassner
e7c1f026ea [pulsar] Removing LOGGER.debug statements for performance gain.
We identified that these logging statements can deteriorate performance in certain cases. I propose removing them from the regular renderer implementation and letting individuals re-insert debug logging wherever needed on a case-by-case basis.
2022-07-25 09:08:58 -07:00
385 changed files with 5196 additions and 19366 deletions

View File

@@ -117,7 +117,7 @@ jobs:
- run:
name: build
no_output_timeout: 20m
command: MAX_JOBS=15 TEST_FLAG=--no-test python3 packaging/build_conda.py
command: MAX_JOBS=15 TEST_FLAG=--no-test packaging/build_conda.sh
- store_artifacts:
path: /opt/conda/conda-bld/linux-64
- persist_to_workspace:
@@ -154,12 +154,12 @@ 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: "13.4.1"
xcode: "12.0"
steps:
- checkout
- run:
@@ -182,23 +182,23 @@ workflows:
# context: DOCKERHUB_TOKEN
{{workflows()}}
- binary_linux_conda_cuda:
name: testrun_conda_cuda_py38_cu102_pyt190
name: testrun_conda_cuda_py37_cu102_pyt190
context: DOCKERHUB_TOKEN
python_version: "3.8"
python_version: "3.7"
pytorch_version: '1.9.0'
cu_version: "cu102"
- binary_macos_wheel:
cu_version: cpu
name: macos_wheel_py3.8_cpu
name: macos_wheel_py37_cpu
python_version: '3.7'
pytorch_version: '1.12.0'
- binary_macos_wheel:
cu_version: cpu
name: macos_wheel_py38_cpu
python_version: '3.8'
pytorch_version: '1.13.0'
pytorch_version: '1.12.0'
- binary_macos_wheel:
cu_version: cpu
name: macos_wheel_py3.9_cpu
name: macos_wheel_py39_cpu
python_version: '3.9'
pytorch_version: '1.13.0'
- binary_macos_wheel:
cu_version: cpu
name: macos_wheel_py3.10_cpu
python_version: '3.10'
pytorch_version: '1.13.0'
pytorch_version: '1.12.0'

View File

@@ -117,7 +117,7 @@ jobs:
- run:
name: build
no_output_timeout: 20m
command: MAX_JOBS=15 TEST_FLAG=--no-test python3 packaging/build_conda.py
command: MAX_JOBS=15 TEST_FLAG=--no-test packaging/build_conda.sh
- store_artifacts:
path: /opt/conda/conda-bld/linux-64
- persist_to_workspace:
@@ -154,12 +154,12 @@ 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: "13.4.1"
xcode: "12.0"
steps:
- checkout
- run:
@@ -180,6 +180,205 @@ workflows:
jobs:
# - main:
# context: DOCKERHUB_TOKEN
- binary_linux_conda:
context: DOCKERHUB_TOKEN
cu_version: cu101
name: linux_conda_py37_cu101_pyt180
python_version: '3.7'
pytorch_version: 1.8.0
- binary_linux_conda:
context: DOCKERHUB_TOKEN
cu_version: cu102
name: linux_conda_py37_cu102_pyt180
python_version: '3.7'
pytorch_version: 1.8.0
- binary_linux_conda:
context: DOCKERHUB_TOKEN
cu_version: cu111
name: linux_conda_py37_cu111_pyt180
python_version: '3.7'
pytorch_version: 1.8.0
- binary_linux_conda:
context: DOCKERHUB_TOKEN
cu_version: cu101
name: linux_conda_py37_cu101_pyt181
python_version: '3.7'
pytorch_version: 1.8.1
- binary_linux_conda:
context: DOCKERHUB_TOKEN
cu_version: cu102
name: linux_conda_py37_cu102_pyt181
python_version: '3.7'
pytorch_version: 1.8.1
- binary_linux_conda:
context: DOCKERHUB_TOKEN
cu_version: cu111
name: linux_conda_py37_cu111_pyt181
python_version: '3.7'
pytorch_version: 1.8.1
- binary_linux_conda:
context: DOCKERHUB_TOKEN
cu_version: cu102
name: linux_conda_py37_cu102_pyt190
python_version: '3.7'
pytorch_version: 1.9.0
- binary_linux_conda:
context: DOCKERHUB_TOKEN
cu_version: cu111
name: linux_conda_py37_cu111_pyt190
python_version: '3.7'
pytorch_version: 1.9.0
- binary_linux_conda:
context: DOCKERHUB_TOKEN
cu_version: cu102
name: linux_conda_py37_cu102_pyt191
python_version: '3.7'
pytorch_version: 1.9.1
- binary_linux_conda:
context: DOCKERHUB_TOKEN
cu_version: cu111
name: linux_conda_py37_cu111_pyt191
python_version: '3.7'
pytorch_version: 1.9.1
- binary_linux_conda:
context: DOCKERHUB_TOKEN
cu_version: cu102
name: linux_conda_py37_cu102_pyt1100
python_version: '3.7'
pytorch_version: 1.10.0
- binary_linux_conda:
context: DOCKERHUB_TOKEN
cu_version: cu111
name: linux_conda_py37_cu111_pyt1100
python_version: '3.7'
pytorch_version: 1.10.0
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda113
context: DOCKERHUB_TOKEN
cu_version: cu113
name: linux_conda_py37_cu113_pyt1100
python_version: '3.7'
pytorch_version: 1.10.0
- binary_linux_conda:
context: DOCKERHUB_TOKEN
cu_version: cu102
name: linux_conda_py37_cu102_pyt1101
python_version: '3.7'
pytorch_version: 1.10.1
- binary_linux_conda:
context: DOCKERHUB_TOKEN
cu_version: cu111
name: linux_conda_py37_cu111_pyt1101
python_version: '3.7'
pytorch_version: 1.10.1
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda113
context: DOCKERHUB_TOKEN
cu_version: cu113
name: linux_conda_py37_cu113_pyt1101
python_version: '3.7'
pytorch_version: 1.10.1
- binary_linux_conda:
context: DOCKERHUB_TOKEN
cu_version: cu102
name: linux_conda_py37_cu102_pyt1102
python_version: '3.7'
pytorch_version: 1.10.2
- binary_linux_conda:
context: DOCKERHUB_TOKEN
cu_version: cu111
name: linux_conda_py37_cu111_pyt1102
python_version: '3.7'
pytorch_version: 1.10.2
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda113
context: DOCKERHUB_TOKEN
cu_version: cu113
name: linux_conda_py37_cu113_pyt1102
python_version: '3.7'
pytorch_version: 1.10.2
- binary_linux_conda:
context: DOCKERHUB_TOKEN
cu_version: cu102
name: linux_conda_py37_cu102_pyt1110
python_version: '3.7'
pytorch_version: 1.11.0
- binary_linux_conda:
context: DOCKERHUB_TOKEN
cu_version: cu111
name: linux_conda_py37_cu111_pyt1110
python_version: '3.7'
pytorch_version: 1.11.0
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda113
context: DOCKERHUB_TOKEN
cu_version: cu113
name: linux_conda_py37_cu113_pyt1110
python_version: '3.7'
pytorch_version: 1.11.0
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda115
context: DOCKERHUB_TOKEN
cu_version: cu115
name: linux_conda_py37_cu115_pyt1110
python_version: '3.7'
pytorch_version: 1.11.0
- binary_linux_conda:
context: DOCKERHUB_TOKEN
cu_version: cu102
name: linux_conda_py37_cu102_pyt1120
python_version: '3.7'
pytorch_version: 1.12.0
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda113
context: DOCKERHUB_TOKEN
cu_version: cu113
name: linux_conda_py37_cu113_pyt1120
python_version: '3.7'
pytorch_version: 1.12.0
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda116
context: DOCKERHUB_TOKEN
cu_version: cu116
name: linux_conda_py37_cu116_pyt1120
python_version: '3.7'
pytorch_version: 1.12.0
- binary_linux_conda:
context: DOCKERHUB_TOKEN
cu_version: cu101
name: linux_conda_py38_cu101_pyt180
python_version: '3.8'
pytorch_version: 1.8.0
- binary_linux_conda:
context: DOCKERHUB_TOKEN
cu_version: cu102
name: linux_conda_py38_cu102_pyt180
python_version: '3.8'
pytorch_version: 1.8.0
- binary_linux_conda:
context: DOCKERHUB_TOKEN
cu_version: cu111
name: linux_conda_py38_cu111_pyt180
python_version: '3.8'
pytorch_version: 1.8.0
- binary_linux_conda:
context: DOCKERHUB_TOKEN
cu_version: cu101
name: linux_conda_py38_cu101_pyt181
python_version: '3.8'
pytorch_version: 1.8.1
- binary_linux_conda:
context: DOCKERHUB_TOKEN
cu_version: cu102
name: linux_conda_py38_cu102_pyt181
python_version: '3.8'
pytorch_version: 1.8.1
- binary_linux_conda:
context: DOCKERHUB_TOKEN
cu_version: cu111
name: linux_conda_py38_cu111_pyt181
python_version: '3.8'
pytorch_version: 1.8.1
- binary_linux_conda:
context: DOCKERHUB_TOKEN
cu_version: cu102
@@ -307,40 +506,42 @@ workflows:
name: linux_conda_py38_cu116_pyt1120
python_version: '3.8'
pytorch_version: 1.12.0
- binary_linux_conda:
context: DOCKERHUB_TOKEN
cu_version: cu101
name: linux_conda_py39_cu101_pyt180
python_version: '3.9'
pytorch_version: 1.8.0
- binary_linux_conda:
context: DOCKERHUB_TOKEN
cu_version: cu102
name: linux_conda_py38_cu102_pyt1121
python_version: '3.8'
pytorch_version: 1.12.1
name: linux_conda_py39_cu102_pyt180
python_version: '3.9'
pytorch_version: 1.8.0
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda113
context: DOCKERHUB_TOKEN
cu_version: cu113
name: linux_conda_py38_cu113_pyt1121
python_version: '3.8'
pytorch_version: 1.12.1
cu_version: cu111
name: linux_conda_py39_cu111_pyt180
python_version: '3.9'
pytorch_version: 1.8.0
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda116
context: DOCKERHUB_TOKEN
cu_version: cu116
name: linux_conda_py38_cu116_pyt1121
python_version: '3.8'
pytorch_version: 1.12.1
cu_version: cu101
name: linux_conda_py39_cu101_pyt181
python_version: '3.9'
pytorch_version: 1.8.1
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda116
context: DOCKERHUB_TOKEN
cu_version: cu116
name: linux_conda_py38_cu116_pyt1130
python_version: '3.8'
pytorch_version: 1.13.0
cu_version: cu102
name: linux_conda_py39_cu102_pyt181
python_version: '3.9'
pytorch_version: 1.8.1
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda117
context: DOCKERHUB_TOKEN
cu_version: cu117
name: linux_conda_py38_cu117_pyt1130
python_version: '3.8'
pytorch_version: 1.13.0
cu_version: cu111
name: linux_conda_py39_cu111_pyt181
python_version: '3.9'
pytorch_version: 1.8.1
- binary_linux_conda:
context: DOCKERHUB_TOKEN
cu_version: cu102
@@ -468,40 +669,6 @@ workflows:
name: linux_conda_py39_cu116_pyt1120
python_version: '3.9'
pytorch_version: 1.12.0
- binary_linux_conda:
context: DOCKERHUB_TOKEN
cu_version: cu102
name: linux_conda_py39_cu102_pyt1121
python_version: '3.9'
pytorch_version: 1.12.1
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda113
context: DOCKERHUB_TOKEN
cu_version: cu113
name: linux_conda_py39_cu113_pyt1121
python_version: '3.9'
pytorch_version: 1.12.1
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda116
context: DOCKERHUB_TOKEN
cu_version: cu116
name: linux_conda_py39_cu116_pyt1121
python_version: '3.9'
pytorch_version: 1.12.1
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda116
context: DOCKERHUB_TOKEN
cu_version: cu116
name: linux_conda_py39_cu116_pyt1130
python_version: '3.9'
pytorch_version: 1.13.0
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda117
context: DOCKERHUB_TOKEN
cu_version: cu117
name: linux_conda_py39_cu117_pyt1130
python_version: '3.9'
pytorch_version: 1.13.0
- binary_linux_conda:
context: DOCKERHUB_TOKEN
cu_version: cu102
@@ -548,58 +715,24 @@ workflows:
name: linux_conda_py310_cu116_pyt1120
python_version: '3.10'
pytorch_version: 1.12.0
- binary_linux_conda:
context: DOCKERHUB_TOKEN
cu_version: cu102
name: linux_conda_py310_cu102_pyt1121
python_version: '3.10'
pytorch_version: 1.12.1
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda113
context: DOCKERHUB_TOKEN
cu_version: cu113
name: linux_conda_py310_cu113_pyt1121
python_version: '3.10'
pytorch_version: 1.12.1
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda116
context: DOCKERHUB_TOKEN
cu_version: cu116
name: linux_conda_py310_cu116_pyt1121
python_version: '3.10'
pytorch_version: 1.12.1
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda116
context: DOCKERHUB_TOKEN
cu_version: cu116
name: linux_conda_py310_cu116_pyt1130
python_version: '3.10'
pytorch_version: 1.13.0
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda117
context: DOCKERHUB_TOKEN
cu_version: cu117
name: linux_conda_py310_cu117_pyt1130
python_version: '3.10'
pytorch_version: 1.13.0
- binary_linux_conda_cuda:
name: testrun_conda_cuda_py38_cu102_pyt190
name: testrun_conda_cuda_py37_cu102_pyt190
context: DOCKERHUB_TOKEN
python_version: "3.8"
python_version: "3.7"
pytorch_version: '1.9.0'
cu_version: "cu102"
- binary_macos_wheel:
cu_version: cpu
name: macos_wheel_py3.8_cpu
name: macos_wheel_py37_cpu
python_version: '3.7'
pytorch_version: '1.12.0'
- binary_macos_wheel:
cu_version: cpu
name: macos_wheel_py38_cpu
python_version: '3.8'
pytorch_version: '1.13.0'
pytorch_version: '1.12.0'
- binary_macos_wheel:
cu_version: cpu
name: macos_wheel_py3.9_cpu
name: macos_wheel_py39_cpu
python_version: '3.9'
pytorch_version: '1.13.0'
- binary_macos_wheel:
cu_version: cpu
name: macos_wheel_py3.10_cpu
python_version: '3.10'
pytorch_version: '1.13.0'
pytorch_version: '1.12.0'

View File

@@ -20,6 +20,8 @@ from packaging import version
# 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 = {
"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"],
@@ -27,8 +29,6 @@ CONDA_CUDA_VERSIONS = {
"1.10.2": ["cu102", "cu111", "cu113"],
"1.11.0": ["cu102", "cu111", "cu113", "cu115"],
"1.12.0": ["cu102", "cu113", "cu116"],
"1.12.1": ["cu102", "cu113", "cu116"],
"1.13.0": ["cu116", "cu117"],
}
@@ -41,8 +41,6 @@ def conda_docker_image_for_cuda(cuda_version):
return "pytorch/conda-builder:cuda115"
if cuda_version == "cu116":
return "pytorch/conda-builder:cuda116"
if cuda_version == "cu117":
return "pytorch/conda-builder:cuda117"
raise ValueError("Unknown cuda version")
@@ -66,7 +64,7 @@ def pytorch_versions_for_python(python_version):
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"]:
for python_version in ["3.7", "3.8", "3.9", "3.10"]:
for pytorch_version in pytorch_versions_for_python(python_version):
for cu_version in CONDA_CUDA_VERSIONS[pytorch_version]:
w += workflow_pair(

View File

@@ -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.

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27
.github/workflows/stale.yml vendored Normal file
View File

@@ -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

View File

@@ -8,8 +8,8 @@
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 3.8, 3.9 or 3.10
- PyTorch 1.9.0, 1.9.1, 1.10.0, 1.10.1, 1.10.2, 1.11.0, 1.12.0, 1.12.1 or 1.13.0.
- Python 3.6, 3.7, 3.8 or 3.9
- PyTorch 1.8.0, 1.8.1, 1.9.0, 1.9.1, 1.10.0, 1.10.1, 1.10.2, 1.11.0 or 1.12.0.
- 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)
@@ -21,11 +21,11 @@ The runtime dependencies can be installed by running:
```
conda create -n pytorch3d python=3.9
conda activate pytorch3d
conda install -c pytorch pytorch=1.9.1 torchvision cudatoolkit=11.6
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
```
@@ -78,14 +78,14 @@ Or, to install a nightly (non-official, alpha) build:
conda install pytorch3d -c pytorch3d-nightly
```
### 2. Install from PyPI, on Mac only.
This works with pytorch 1.13.0 only. The build is CPU only.
This works with pytorch 1.12.0 only. The build is CPU only.
```
pip install pytorch3d
```
### 3. 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.
for Python 3.7, 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
```

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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.
PyTorch3D is designed to integrate smoothly with deep learning methods for predicting and manipulating 3D data.
For this reason, all operators in PyTorch3D:
@@ -56,11 +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)|
@@ -99,8 +93,6 @@ In alphabetical order:
* Amitav Baruah
* Steve Branson
* Krzysztof Chalupka
* Jiali Duan
* Luya Gao
* Georgia Gkioxari
* Taylor Gordon
@@ -144,12 +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 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

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@@ -17,8 +17,7 @@ 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")]
return list((root / "tests").glob("**/test*.py"))
def tests_from_file(path: Path, base: str) -> List[str]:

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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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@@ -12,5 +12,4 @@ API Documentation
utils
datasets
common
vis/index
implicitron/index
vis

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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:

View File

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

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

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

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

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@@ -0,0 +1,10 @@
rasterizer
===========================
.. automodule:: pytorch3d.renderer.mesh.rasterize_meshes
:members:
:undoc-members:
.. automodule:: pytorch3d.renderer.mesh.rasterizer
:members:
:undoc-members:

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

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

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

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@@ -0,0 +1,7 @@
texturing
===========================
.. automodule:: pytorch3d.renderer.mesh.texturing
:members:
:undoc-members:

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

6
docs/modules/vis.rst Normal file
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@@ -0,0 +1,6 @@
pytorch3d.vis
===========================
.. automodule:: pytorch3d.vis
:members:
:undoc-members:

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@@ -1,7 +0,0 @@
pytorch3d.vis
=============
.. toctree::
plotly_vis
texture_vis

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

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

View File

@@ -62,7 +62,7 @@ Below we compare the performance for Objectron (in C++) and our algorithm, in C+
```python
from pytorch3d.ops import box3d_overlap
# Assume inputs: boxes1 (M, 8, 3) and boxes2 (N, 8, 3)
intersection_vol, iou_3d = box3d_overlap(boxes1, boxes2)
intersection_vol, iou_3d = box3d_overal(boxes1, boxes2)
```
For more details, read [iou_box3d.py](https://github.com/facebookresearch/pytorch3d/blob/main/pytorch3d/ops/iou_box3d.py).

View File

@@ -5,8 +5,7 @@ sphinx_rtd_theme
sphinx_markdown_tables
mock
numpy
iopath
fvcore
git+git://github.com/facebookresearch/fvcore.git
git+git://github.com/facebookresearch/iopath.git
https://download.pytorch.org/whl/cpu/torchvision-0.8.2%2Bcpu-cp37-cp37m-linux_x86_64.whl
https://download.pytorch.org/whl/cpu/torch-1.7.1%2Bcpu-cp37-cp37m-linux_x86_64.whl
omegaconf

View File

@@ -89,7 +89,7 @@
"except ModuleNotFoundError:\n",
" need_pytorch3d=True\n",
"if need_pytorch3d:\n",
" if torch.__version__.startswith(\"1.13.\") and sys.platform.startswith(\"linux\"):\n",
" if torch.__version__.startswith(\"1.11.\") and sys.platform.startswith(\"linux\"):\n",
" # We try to install PyTorch3D via a released wheel.\n",
" pyt_version_str=torch.__version__.split(\"+\")[0].replace(\".\", \"\")\n",
" version_str=\"\".join([\n",

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@@ -76,7 +76,7 @@
"except ModuleNotFoundError:\n",
" need_pytorch3d=True\n",
"if need_pytorch3d:\n",
" if torch.__version__.startswith(\"1.13.\") and sys.platform.startswith(\"linux\"):\n",
" if torch.__version__.startswith(\"1.11.\") and sys.platform.startswith(\"linux\"):\n",
" # We try to install PyTorch3D via a released wheel.\n",
" pyt_version_str=torch.__version__.split(\"+\")[0].replace(\".\", \"\")\n",
" version_str=\"\".join([\n",

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