Floating regions are currently unused on the PiSP platform, so we can use one of them to get an average Y value for the whole image. If an algorithm (such as the "lux" algorithm) wants a scene-referred estimate of absolute brightness, then this would be a better choice than a value from Y histogram as the latter is not invariant to the metering mode (e.g. centre-weighted, spot etc.). (So note that for the AGC/AEC algorithm, where the metering mode is relevant, the Y histogram is the appropriate choice.) We also fix the loop that copies the hardware's floating region values into our statistics structure; it was using the wrong limit which was causing it not to do anything. A future commit will update the lux algorithm to use this feature. Signed-off-by: David Plowman <david.plowman@raspberrypi.com> Reviewed-by: Stefan Klug <stefan.klug@ideasonboard.com> Reviewed-by: Naushir Patuck <naush@raspberrypi.com> Signed-off-by: Kieran Bingham <kieran.bingham@ideasonboard.com>
.. SPDX-License-Identifier: BSD-2-Clause
libcamera for the Raspberry Pi
Raspberry Pi provides a fully featured pipeline handler and control algorithms (IPAs, or "Image Processing Algorithms") to work with libcamera. Support is included for all existing Raspberry Pi camera modules.
libcamera for the Raspberry Pi allows users to:
- Use their existing Raspberry Pi cameras.
- Change the tuning of the image processing for their Raspberry Pi cameras.
- Alter or amend the control algorithms (such as AGC/AEC, AWB or any others) that control the sensor and ISP.
- Implement their own custom control algorithms.
- Supply new tunings and/or algorithms for completely new sensors.
How to install and run libcamera on the Raspberry Pi
Please follow the instructions here.
Documentation
Full documentation for the Raspberry Pi Camera Algorithm and Tuning Guide can be found here.