| Age | Commit message (Collapse) | Author |
|---|
|
String controls are stored internally as an array of char, but the
ControlValue constructor, get() and set() functions operate on an
std::string for convenience. Array of strings are thus not supported.
Unlike for other control types, the ControlInfo range reports the
minimum and maximum allowed lengths of the string (the minimum will
usually be 0), not the minimum and maximum value of each element.
Signed-off-by: Laurent Pinchart <laurent.pinchart@ideasonboard.com>
Reviewed-by: Jacopo Mondi <jacopo@jmondi.org>
|
|
Add a 'size' property to the control yaml description, to convey the
size constraints of array controls. The semantics of the property
contents is currently unspecified, but its presence triggers the
generation of an array control (Control<Span<const T>>).
Example:
- BayerGains:
type: float
description: Gains to apply to the four Bayer colour components for white balance
size: [4]
Signed-off-by: Jacopo Mondi <jacopo@jmondi.org>
Signed-off-by: Laurent Pinchart <laurent.pinchart@ideasonboard.com>
Reviewed-by: Kieran Bingham <kieran.bingham@ideasonboard.com>
|
|
Doxygen fails to parse entries with multiple << signs as, in example,
\var extern const Control<Span<int32_t>>
Remove the type from the control documentation as unique control and
property names should not need any additional information specified for
Doxygen to correctly identify them.
Signed-off-by: Jacopo Mondi <jacopo@jmondi.org>
Signed-off-by: Laurent Pinchart <laurent.pinchart@ideasonboard.com>
Reviewed-by: Kieran Bingham <kieran.bingham@ideasonboard.com>
|
|
In preparation to add libcamera Camera properties definitions by re-using
the control generation framework, augment the gen_controls.py script to
support parsing the 'enum' yaml tag and generate documentation and
definition of possible values associated with a Control or a Property
and defined through an enumeration of supported values.
Reviewed-by: Niklas Söderlund <niklas.soderlund@ragnatech.se>
Signed-off-by: Laurent Pinchart <laurent.pinchart@ideasonboard.com>
Signed-off-by: Jacopo Mondi <jacopo@jmondi.org>
|
|
The gen-controls.py script hardcodes the path to the python interpreter
to /usr/bin/python3 in the first line of the script. This hardcodes
usage of the host python3, even when building in cross-compilation
environments that may ship their own version of python. Fix it by
setting the interpreter to '/usr/bin/env python3'.
Reported-by: Madhavan Krishnan <madhavan.krishnan@linaro.org>
Suggested-by: Nicolas Dufresne <nicolas@ndufresne.ca>
Signed-off-by: Laurent Pinchart <laurent.pinchart@ideasonboard.com>
Reviewed-by: Kieran Bingham <kieran.bingham@ideasonboard.com>
|
|
In order to deserialise a ControlList, we will need to lookup ControlId
instances based on their numerical ID. Generate a global map from the
controls definitions to support such a lookup.
Signed-off-by: Laurent Pinchart <laurent.pinchart@ideasonboard.com>
Reviewed-by: Jacopo Mondi <jacopo@jmondi.org>
Tested-by: Niklas Söderlund <niklas.soderlund@ragnatech.se>
Reviewed-by: Niklas Söderlund <niklas.soderlund@ragnatech.se>
|
|
The controls namespace isn't documenting, making it impossible to
reference the variables it contains. Furthermore, within the
documentation page for the control_ids.h file, links from overview to
detailed variable documentation are broken for the same reason. Both
issues can be fixed by documenting the controls namespace.
Unfortunately doxygen then fails to parse the initialisers for the
controls global variables correctly and considers them as functions. To
work around this, modify the control_ids.cpp generation script to hide
the variables from doxygen, but still expose their documentation.
Signed-off-by: Laurent Pinchart <laurent.pinchart@ideasonboard.com>
Reviewed-by: Jacopo Mondi <jacopo@jmondi.org>
Tested-by: Niklas Söderlund <niklas.soderlund@ragnatech.se>
Reviewed-by: Niklas Söderlund <niklas.soderlund@ragnatech.se>
|
|
Bring back auto-generation of control ids. In this version, both the
header and the source files are generated from a single YAML file that
stores all control definitions. This allows centralising controls in a
single file, while the previous version required keeping both
declarations (in a header) and documentation (in a the source) in sync
manually.
Using YAML as a format to store control definitions is a trade-off
between ease of use (there are many YAML parsers available) and
simplicity (XML was considered, but would have lead to more complex
processing). A new build time dependency is added on python3-yaml, which
should be available as a package in all distributions and build
environments.
The YAML format is likely to change over time as we improve
documentation of controls, the first version simply copies the
information currently available. Future improvements should also include
a YAML schema to validate the YAML source file.
Signed-off-by: Laurent Pinchart <laurent.pinchart@ideasonboard.com>
Reviewed-by: Niklas Söderlund <niklas.soderlund@ragnatech.se>
|
