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Add new Mitsuba Python example + update CPU rendering docs (#5991)
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* Add new material estimation example
* Update docs for CPU rendering for Ubuntu 22.04
Co-authored-by: Sameer Sheorey <[email protected]>
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errissa committed Mar 15, 2023
1 parent 8869397 commit 9238339
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60 changes: 48 additions & 12 deletions docs/docker.in.rst
Original file line number Diff line number Diff line change
Expand Up @@ -30,10 +30,11 @@ Python applications looks like this:
.. code-block:: dockerfile
# This could also be another Ubuntu or Debian based distribution
FROM ubuntu:latest
FROM ubuntu:22.04
# Install Open3D system dependencies and pip
RUN apt-get update && apt-get install --no-install-recommends -y \
libegl1 \
libgl1 \
libgomp1 \
python3-pip \
Expand All @@ -52,11 +53,11 @@ To run GUI applications from the docker container, add these options to the

1. GPU:

- Intel (Mesa drivers): ``--device=/dev/dri:/dev/dri``
- Intel (Mesa drivers): ``--device=/dev/dri:/dev/dri`` or ``--device=/dev/dri/card0:/dev/dri/card0 --device=/dev/dri/renderD128:/dev/dri/renderD128``, depending on your hardware.

- NVIDIA: ``--gpus 'all,"capabilities=compute,utility,graphics"'``

- No GPU (CPU rendering): ``--env OPEN3D_CPU_RENDERING=true``
- No GPU (CPU rendering): ``--env OPEN3D_CPU_RENDERING=true`` on Ubuntu 18.04. Later versions automaticaly select CPU rendering if a GPU is not available.

2. X server: ``-v /tmp/.X11-unix:/tmp/.X11-unix -e DISPLAY``

Expand All @@ -72,7 +73,7 @@ folder that contains data you wish to visualize.
wget https://github.com/isl-org/Open3D/releases/download/v@OPEN3D_VERSION@/open3d-app-@[email protected]
# Build docker image in folder containing Open3D deb package.
docker build -t open3d-viewer -f- . <<EOF
FROM ubuntu:latest
FROM ubuntu:20.04
COPY open3d*.deb /root/
RUN apt-get update \
&& apt-get install --yes /root/open3d*.deb \
Expand All @@ -91,30 +92,65 @@ folder that contains data you wish to visualize.
-v /tmp/.X11-unix:/tmp/.X11-unix -e DISPLAY \
-v "$PWD":/root open3d-viewer:latest
# Run Open3D viewer docker image without a GPU (CPU rendering)
docker run --env OPEN3D_CPU_RENDERING=true\
-v /tmp/.X11-unix:/tmp/.X11-unix -e DISPLAY \
docker run -v /tmp/.X11-unix:/tmp/.X11-unix -e DISPLAY \
-v "$PWD":/root open3d-viewer:latest
Also see the `docker tutorial for ROS
<http://wiki.ros.org/docker/Tutorials/Hardware%20Acceleration>`__ for more
information.
information. Note that differences in hardware, OS drivers and OS packages may
require you to modify these instructions.
Headless rendering
------------------
If a GUI display server (X11 or Wayland) is not available (either in the docker
container or the host OS), Open3D can still be used for headless rendering. This
requires installing some additional dependencies. Here is an example Ubuntu /
Debian based docker file that runs the ``render_to_image.py`` rendering example.
Other Linux (e.g. RHEL) distributions will need different dependency packages.
container or the host OS), Open3D can still be used for headless rendering. In
Ubuntu 20.04+ (with Mesa version 20.2+) this requires configuring the Mesa
driver with an environment variable (``EGL_PLATFORM=surfaceless``):
.. code-block:: bash
mkdir open3d-headless-docker && cd open3d-headless-docker
wget https://raw.githubusercontent.com/isl-org/Open3D/v@OPEN3D_VERSION@/examples/python/visualization/render_to_image.py
# Build docker image
docker build -t open3d-headless -f- . <<EOF
FROM ubuntu:20.04
RUN apt-get update \
&& apt-get install --yes --no-install-recommends \
libegl1 libgl1 libgomp1 python3-pip \
&& rm -rf /var/lib/apt/lists/*
# Install Open3D from the PyPI repositories
RUN python3 -m pip install --no-cache-dir --upgrade pip && \
python3 -m pip install --no-cache-dir --upgrade open3d==@OPEN3D_VERSION@
# Configure Mesa EGL for headless rendering
ENV EGL_PLATFORM=surfaceless
WORKDIR /root/
ENTRYPOINT ["python3", "/root/render_to_image.py"]
EOF
# Run headless rendering example with Intel GPU
docker run --device=/dev/dri:/dev/dri \
-v "$PWD":/root open3d-headless:latest
# Run headless rendering example with Nvidia GPU
docker run --gpus 'all,"capabilities=compute,utility,graphics"' \
-v "$PWD":/root open3d-headless:latest
# Run headless rendering example without GPU (CPU rendering)
docker run -v "$PWD":/root open3d-headless:latest
In Ubuntu 18.04, we need to install some additional dependencies. Here is an
example Ubuntu / Debian based docker file that runs the ``render_to_image.py``
rendering example. Other (old) Linux (e.g. RHEL) distributions will need
different dependency packages.
.. code-block:: bash
mkdir open3d-headless-docker && cd open3d-headless-docker
wget https://raw.githubusercontent.com/isl-org/Open3D/v@OPEN3D_VERSION@/examples/python/visualization/render_to_image.py
# Build docker image
docker build -t open3d-headless -f- . <<EOF
FROM ubuntu:latest
FROM ubuntu:18.04
RUN apt-get update \
&& apt-get install --yes --no-install-recommends \
libgl1 libgomp1 python3-pip \
Expand Down
30 changes: 19 additions & 11 deletions docs/tutorial/visualization/cpu_rendering.rst
Original file line number Diff line number Diff line change
Expand Up @@ -27,28 +27,35 @@ Headless CPU Rendering
----------------------

For Python code, you can enable CPU rendering for headless rendering when using
the :class: `.OffscreenRenderer` for a process by setting the environment
variable ``OPEN3D_CPU_RENDERING=true`` before importing Open3D. Here are the
different ways to do that:
the :class: `.OffscreenRenderer` for a process by setting an environment
variable before importing Open3D::

- ``EGL_PLATFORM=surfaceless`` for Ubuntu 20.04+ (Mesa v20.2 or newer)
- ``OPEN3D_CPU_RENDERING=true`` for Ubuntu 18.04 (Mesa older than v20.2).

Here are the different ways to do that:

.. code:: bash
# from the command line
OPEN3D_CPU_RENDERING=true python
examples/python/visualization/render_to_image.py
# from the command line (Ubuntu 20.04+)
EGL_PLATFORM=surfaceless python examples/python/visualization/render_to_image.py
# or Ubuntu 18.04
OPEN3D_CPU_RENDERING=true python examples/python/visualization/render_to_image.py
.. code:: python
# In Python code
import os
os.environ['OPEN3D_CPU_RENDERING'] = 'true'
os.environ['EGL_PLATFORM'] = 'surfaceless' # Ubunu 20.04+
os.environ['OPEN3D_CPU_RENDERING'] = 'true' # Ubuntu 18.04
import open3d as o3d
# In a Jupyter notebook
%env OPEN3D_CPU_RENDERING true
%env EGL_PLATFORM surfaceless # Ubuntu 20.04+
%env OPEN3D_CPU_RENDERING true # Ubuntu 18.04
import open3d as o3d
.. note:: Seeting the environment variable after importing ``open3d`` will not work,
.. note:: Setting the environment variable after importing ``open3d`` will not work,
even if ``open3d`` is re-imported. In this case, if no usable GPU is present, the
Python interpreter or Jupyter kernel will crash when visualization functions are
used.
Expand Down Expand Up @@ -89,8 +96,9 @@ The method for enabling interactive CPU rendering depends on your system:
<https://github.com/isl-org/open3d_downloads/releases/download/mesa-libgl/mesa_libGL_22.0.tar.xz>`__.
This is automatically downloaded to
`build/_deps/download_mesa_libgl-src/libGL.so.1.5.0` when you build Open3D
from source. If you want to use CPU rendering all the time, install this
library to ``/usr/local/lib`` or ``$HOME/.local/lib`` and *prepend* it to your
from source. The prebuilt version works on Ubuntu 18.04 and Ubuntu 20.04. If
you want to use CPU rendering all the time, install this library to
``/usr/local/lib`` or ``$HOME/.local/lib`` and *prepend* it to your
``LD_LIBRARY_PATH``:

.. code:: bash
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4 changes: 2 additions & 2 deletions docs/versions.js
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Expand Up @@ -22,8 +22,8 @@ document.write('\
<td><a href="http://www.open3d.org/docs/release/cpp_api">0.17.0 C++ (release)</a></td>\
</tr>\
<tr>\
<td><a href="http://www.open3d.org/docs/0.16.1">0.16.1</a></td>\
<td><a href="http://www.open3d.org/docs/0.16.1/cpp_api">0.16.1 C++</a></td>\
<td><a href="http://www.open3d.org/docs/0.16.0">0.16.0</a></td>\
<td><a href="http://www.open3d.org/docs/0.16.0/cpp_api">0.16.0 C++</a></td>\
</tr>\
<tr>\
<td><a href="http://www.open3d.org/docs/0.15.1">0.15.1</a></td>\
Expand Down

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