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- Drop merged pacth 0001-libcamera-Do-not-assume-libc-with-clang.patch. - The v4l2 option "true" is deprecated and we should use "enabled". - There is a new option "rpi-awb-nn", disabled for now, which requires TensorFlow Lite. - The GPU acceleration in the software ISP "SoftISP" for delivering better performance and it becomes enabled when we have OpenGL. This release brings 158 commits with substantial development on the SoftISP components. This brings in GPU acceleration, allowing us to get higher throughput for cameras using this pipeline. Further development to improve the image quality is ongoing now that we can perform more processing in realtime. The simple pipeline handler now supports exposing the Raw streams directly allowing us to enable the SoftISP by default without removing access to the camera formats. Kernel headers have been updated to v6.18, supporting the new V4L2 ISP kernel interface which allows us to continue improvements to hardware ISP pipelines as we add new features. Logging has been improved to better detect when to enable or disable color output and can be controlled through the environment variable LIBCAMERA_LOG_COLOR. A new control is added for LensShadingCorrectionEnable to allow runtime control over the LSC components where supported. The gstreamer pipeline now has raw support added to the libcamerasrc stream-role property allowing raw streams to be configured and accessed. An exciting new AWB algorithm using Neural Networks, has been added to the Raspberry Pi IPA following extensive development and training performed by the Raspberry Pi Camera Team. And finally, the Documentation now includes a support matrix which will help identify the current support and enablement for platforms and sensors. More on https://github.com/libcamera-org/libcamera/releases/tag/v0.7.0 Signed-off-by: Jose Quaresma <jose.quaresma@foundries.io> Signed-off-by: Khem Raj <khem.raj@oss.qualcomm.com>
Collection of layers for the OE-core universe
Main layer maintainer: Khem Raj raj.khem@gmail.com
This repository is a collection of layers to supplement OE-Core with additional packages, Each layer have designated maintainer Please see the respective READMEs in the layer subdirectories
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