b2ddc9b118
The IPA will locally modify the parameters before they are passed down to the ImgU. Use a local parameter object to give a reference to those algorithms. Inherit from the Algorithm class to implement basic AWB functions. The configure() call will set exposure and gain to their minimum value, so while AGC is not there, the frames will be dark. Once AWB is done, a color temperature is estimated and a default CCM matrix will be used (yet to be tuned). Implement a basic "grey-world" AWB algorithm just for demonstration purpose. The BDS output size is passed by the pipeline handler to the IPA. The best grid is then calculated to maximize the number of pixels taken into account in each cells. As commented in the source code, it can be improved, as it has (at least) one limitation: if a cell is big (say 128 pixels wide) and indicated as saturated, it won't be taken into account at all. Maybe is it possible to have a smaller one, at the cost of a few pixels to lose, in which case we can center the grid using the x_start and y_start parameters. Signed-off-by: Jean-Michel Hautbois <jeanmichel.hautbois@ideasonboard.com> Reviewed-by: Kieran Bingham <kieran.bingham@ideasonboard.com> Tested-by: Jacopo Mondi <jacopo@jmondi.org> 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:
::
git clone git://linuxtv.org/libcamera.git
cd libcamera
meson 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 (>= 0.55) ninja-build pkg-config
If your distribution doesn't provide a recent enough version of meson,
you can install or upgrade it using pip3.
.. code::
pip3 install --user meson
pip3 install --user --upgrade meson
for the libcamera core: [required]
python3-yaml python3-ply python3-jinja2
for IPA module signing: [required]
libgnutls28-dev openssl
for the Raspberry Pi IPA: [optional]
libboost-dev
Support for Raspberry Pi can be disabled through the meson
'pipelines' option to avoid this dependency.
for device hotplug enumeration: [optional]
libudev-dev
for documentation: [optional]
python3-sphinx doxygen graphviz
for gstreamer: [optional]
libgstreamer1.0-dev libgstreamer-plugins-base1.0-dev
for cam: [optional]
libevent-dev
for qcam: [optional]
qtbase5-dev libqt5core5a libqt5gui5 libqt5widgets5 qttools5-dev-tools libtiff-dev
for tracing with lttng: [optional]
liblttng-ust-dev python3-jinja2 lttng-tools
Using GStreamer plugin
~~~~~~~~~~~~~~~~~~~~~~
To use GStreamer plugin from source tree, set the following environment so that
GStreamer can find it.
export GST_PLUGIN_PATH=$(pwd)/build/src/gstreamer
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 default video display element on your system.
.. code::
gst-launch-1.0 libcamerasrc camera-name="Camera 1" ! videoconvert ! 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.