Working on SoftISP
ControlInfoMap does not have a ControlId map associated, but rather creates one with the generateIdMap() function at creation time. As a consequence, when in the need to de-serialize a ControlInfoMap all the ControlId it contains are created by the deserializer instance, not being able to discern if the controls the ControlIdMap refers to are the global libcamera controls (and properties) or instances local to the V4L2 device that has first initialized the controls. As a consequence the ControlId stored in a de-serialized map will always be newly created entities, preventing lookup by ControlId reference on a de-serialized ControlInfoMap. In order to make it possible to use globally available ControlId instances whenever possible, create ControlInfoMap with a reference to an externally allocated ControlIdMap instead of generating one internally. As a consequence the class constructors take and additional argument, which might be not pleasant to type in, but enforces the concepts that ControlInfoMap should be created with controls part of the same id map. As the ControlIdMap the ControlInfoMap refers to needs to be allocated externally: - Use the globally available controls::controls (or properties::properties) id map when referring to libcamera controls - The V4L2 device that creates ControlInfoMap by parsing the device's controls has to allocate a ControlIdMap - The ControlSerializer that de-serializes a ControlInfoMap has to create and store the ControlIdMap the de-serialized info map refers to Signed-off-by: Jacopo Mondi <jacopo@jmondi.org> Reviewed-by: Paul Elder <paul.elder@ideasonboard.com> Reviewed-by: Laurent Pinchart <laurent.pinchart@ideasonboard.com> |
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README.rst |
.. 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 for android: [optional] libexif libjpeg libyaml 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.