85cb179f289d29d05babf7b2a0fdcfed5d94ba54
In the redesign of the AE-related controls, the AeEnable control was intended to be removed in favor of more specific sub-controls for analogue gain and exposure time. However this will cause problems if aperture sub-controls are introduced, and an application from a pre-aperture era uses a camera that supports aperture. If there is no AeEnable control, then a pre-aperture era application might set analogue gain and exposure time to manual, while aperture silently stays auto since that's the default mode. Thus aperture would be uncontrollable by the application. With an AeEnable control, then a pre-aperture era application can set AeEnable to manual, and under the hood all three of analogue gain and exposure time and aperture will be set to manual. The application won't be able to set the manual aperture, however. Although the above scenario is expected to be rare, the scenario with an AeEnable control seems less detrimental. With an AeEnable control at least the aperture would be static at a reasonably usable value, whereas without an AeEnable the aperture would be more-or-less uncontrolable and could go to extreme values as the AEGC algorithm tries to compensate for the manual analogue gain and exposure time values. Thus we redefine the AeEnable control, available only as a control and not in metadata. It will be preprocessed by the Camera class so that the relevant sub-controls are set. No pipline handler nor IPA shall act on the AeEnable control. The IPA still has to report the control as available, however. Signed-off-by: Paul Elder <paul.elder@ideasonboard.com> Reviewed-by: Laurent Pinchart <laurent.pinchart@ideasonboard.com> Reviewed-by: Stefan Klug <stefan.klug@ideasonboard.com> Signed-off-by: Laurent Pinchart <laurent.pinchart@ideasonboard.com>
.. SPDX-License-Identifier: CC-BY-SA-4.0
===========
libcamera
===========
**A complex camera support library for Linux, Android, and ChromeOS**
Cameras are complex devices that need heavy hardware image processing
operations. Control of the processing is based on advanced algorithms that must
run on a programmable processor. This has traditionally been implemented in a
dedicated MCU in the camera, but in embedded devices algorithms have been moved
to the main CPU to save cost. Blurring the boundary between camera devices and
Linux often left the user with no other option than a vendor-specific
closed-source solution.
To address this problem the Linux media community has very recently started
collaboration with the industry to develop a camera stack that will be
open-source-friendly while still protecting vendor core IP. libcamera was born
out of that collaboration and will offer modern camera support to Linux-based
systems, including traditional Linux distributions, ChromeOS and Android.
.. section-begin-getting-started
Getting Started
---------------
To fetch the sources, build and install:
.. code::
git clone https://git.libcamera.org/libcamera/libcamera.git
cd libcamera
meson setup build
ninja -C build install
Dependencies
~~~~~~~~~~~~
The following Debian/Ubuntu packages are required for building libcamera.
Other distributions may have differing package names:
A C++ toolchain: [required]
Either {g++, clang}
Meson Build system: [required]
meson (>= 0.60) ninja-build pkg-config
for the libcamera core: [required]
libyaml-dev python3-yaml python3-ply python3-jinja2
for IPA module signing: [recommended]
Either libgnutls28-dev or libssl-dev, openssl
Without IPA module signing, all IPA modules will be isolated in a
separate process. This adds an unnecessary extra overhead at runtime.
for improved debugging: [optional]
libdw-dev libunwind-dev
libdw and libunwind provide backtraces to help debugging assertion
failures. Their functions overlap, libdw provides the most detailed
information, and libunwind is not needed if both libdw and the glibc
backtrace() function are available.
for device hotplug enumeration: [optional]
libudev-dev
for documentation: [optional]
python3-sphinx doxygen graphviz texlive-latex-extra
for gstreamer: [optional]
libgstreamer1.0-dev libgstreamer-plugins-base1.0-dev
for Python bindings: [optional]
libpython3-dev pybind11-dev
for cam: [optional]
libevent-dev is required to support cam, however the following
optional dependencies bring more functionality to the cam test
tool:
- libdrm-dev: Enables the KMS sink
- libjpeg-dev: Enables MJPEG on the SDL sink
- libsdl2-dev: Enables the SDL sink
for qcam: [optional]
libtiff-dev qt6-base-dev qt6-tools-dev-tools
for tracing with lttng: [optional]
liblttng-ust-dev python3-jinja2 lttng-tools
for android: [optional]
libexif-dev libjpeg-dev
for Python bindings: [optional]
pybind11-dev
for lc-compliance: [optional]
libevent-dev libgtest-dev
for abi-compat.sh: [optional]
abi-compliance-checker
Basic testing with cam utility
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The ``cam`` utility can be used for basic testing. You can list the cameras
detected on the system with ``cam -l``, and capture ten frames from the first
camera and save them to disk with ``cam -c 1 --capture=10 --file``. See
``cam -h`` for more information about the ``cam`` tool.
In case of problems, a detailed debug log can be obtained from libcamera by
setting the ``LIBCAMERA_LOG_LEVELS`` environment variable:
.. code::
:~$ LIBCAMERA_LOG_LEVELS=*:DEBUG cam -l
Using GStreamer plugin
~~~~~~~~~~~~~~~~~~~~~~
To use the GStreamer plugin from the source tree, use the meson ``devenv``
command. This will create a new shell instance with the ``GST_PLUGIN_PATH``
environment set accordingly.
.. code::
meson devenv -C build
The debugging tool ``gst-launch-1.0`` can be used to construct a pipeline and
test it. The following pipeline will stream from the camera named "Camera 1"
onto the OpenGL accelerated display element on your system.
.. code::
gst-launch-1.0 libcamerasrc camera-name="Camera 1" ! queue ! glimagesink
To show the first camera found you can omit the camera-name property, or you
can list the cameras and their capabilities using:
.. code::
gst-device-monitor-1.0 Video
This will also show the supported stream sizes which can be manually selected
if desired with a pipeline such as:
.. code::
gst-launch-1.0 libcamerasrc ! 'video/x-raw,width=1280,height=720' ! \
queue ! glimagesink
The libcamerasrc element has two log categories, named libcamera-provider (for
the video device provider) and libcamerasrc (for the operation of the camera).
All corresponding debug messages can be enabled by setting the ``GST_DEBUG``
environment variable to ``libcamera*:7``.
Presently, to prevent element negotiation failures it is required to specify
the colorimetry and framerate as part of your pipeline construction. For
instance, to capture and encode as a JPEG stream and receive on another device
the following example could be used as a starting point:
.. code::
gst-launch-1.0 libcamerasrc ! \
video/x-raw,colorimetry=bt709,format=NV12,width=1280,height=720,framerate=30/1 ! \
queue ! jpegenc ! multipartmux ! \
tcpserversink host=0.0.0.0 port=5000
Which can be received on another device over the network with:
.. code::
gst-launch-1.0 tcpclientsrc host=$DEVICE_IP port=5000 ! \
multipartdemux ! jpegdec ! autovideosink
The GStreamer element also supports multiple streams. This is achieved by
requesting additional source pads. Downstream caps filters can be used
to choose specific parameters like resolution and pixel format. The pad
property ``stream-role`` can be used to select a role.
The following example displays a 640x480 view finder while streaming JPEG
encoded 800x600 video. You can use the receiver pipeline above to view the
remote stream from another device.
.. code::
gst-launch-1.0 libcamerasrc name=cs src::stream-role=view-finder src_0::stream-role=video-recording \
cs.src ! queue ! video/x-raw,width=640,height=480 ! videoconvert ! autovideosink \
cs.src_0 ! queue ! video/x-raw,width=800,height=600 ! videoconvert ! \
jpegenc ! multipartmux ! tcpserversink host=0.0.0.0 port=5000
.. section-end-getting-started
Troubleshooting
~~~~~~~~~~~~~~~
Several users have reported issues with meson installation, crux of the issue
is a potential version mismatch between the version that root uses, and the
version that the normal user uses. On calling `ninja -C build`, it can't find
the build.ninja module. This is a snippet of the error message.
::
ninja: Entering directory `build'
ninja: error: loading 'build.ninja': No such file or directory
This can be solved in two ways:
1. Don't install meson again if it is already installed system-wide.
2. If a version of meson which is different from the system-wide version is
already installed, uninstall that meson using pip3, and install again without
the --user argument.
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