b2ef255295
Black may not be represented as 0 pixel value for given hardware, it may be higher. If this is not compensated then various problems may occur such as low contrast or suboptimal exposure. The black pixel value can be either retrieved from a tuning file for the given hardware, or automatically on the fly. The former is the right and correct method, while the latter can be used when a tuning file is not available for the given hardware. Since there is currently no support for tuning files in software ISP, the automatic, hardware independent way, is always used. Support for tuning files should be added in future but it will require more work than this patch. The patch looks at the image histogram and assumes that black starts when pixel values start occurring on the left. A certain amount of the darkest pixels is ignored; it doesn't matter whether they represent various kinds of noise or are real, they are better to omit in any case to make the image looking better. It also doesn't matter whether the darkest pixels occur around the supposed black level or are spread between 0 and the black level, the difference is not important. An arbitrary threshold of 2% darkest pixels is applied; there is no magic about that value. The patch assumes that the black values for different colors are the same and doesn't attempt any other non-primitive enhancements. It cannot completely replace tuning files and simplicity, while providing visible benefit, is its goal. Anything more sophisticated is left for future patches. A possible cheap enhancement, if needed, could be setting exposure + gain to minimum values temporarily, before setting the black level. In theory, the black level should be fixed but it may not be reached in all images. For this reason, the patch updates black level only if the observed value is lower than the current one; it should be never increased. The purpose of the patch is to compensate for hardware properties. General image contrast enhancements are out of scope of this patch. Stats are still gathered as an uncorrected histogram, to avoid any confusion and to represent the raw image data. Exposure must be determined after the black level correction -- it has no influence on the sub-black area and must be correct after applying the black level correction. The granularity of the histogram is increased from 16 to 64 to provide a better precision (there is no theory behind either of those numbers). Reviewed-by: Hans de Goede <hdegoede@redhat.com> Signed-off-by: Milan Zamazal <mzamazal@redhat.com> Signed-off-by: Hans de Goede <hdegoede@redhat.com> Signed-off-by: Milan Zamazal <mzamazal@redhat.com> Signed-off-by: Kieran Bingham <kieran.bingham@ideasonboard.com>
.. SPDX-License-Identifier: CC-BY-SA-4.0
.. section-begin-libcamera
===========
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-end-libcamera
.. 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 qtbase5-dev qttools5-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
.. 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.