Classic models preprocessing

[przepeck]

🛠 Summary

CVS-171387
Adding preprocessing CLI parameters for choosing mean. scale and color format.

🧪 Checklist

• Unit tests added.
• The documentation updated.
• Change follows security best practices.
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[Copilot]

Pull request overview

This PR adds preprocessing CLI parameters for classic models, enabling users to configure mean, scale, color format, and precision transformations directly through command-line arguments or configuration files. This simplifies model deployment by eliminating the need for custom preprocessing nodes in DAG pipelines.

Changes:

• Added new CLI parameters: --mean, --scale, --color_format, and --precision with validation requiring --layout to be set
• Implemented parsing and application of preprocessing configurations in the model loading pipeline
• Updated the ONNX model demo to use built-in preprocessing instead of DAG-based custom nodes

Reviewed changes

Copilot reviewed 22 out of 22 changed files in this pull request and generated 7 comments.

Show a summary per file

File	Description
src/test/ovmsconfig_test.cpp	Added test cases for new preprocessing parameters validation
src/test/modelconfig_test.cpp	Added unit tests for parsing mean, scale, color format, and precision parameters
src/test/c_api_tests.cpp	Updated tests to verify new preprocessing fields and commented out failing test
src/status.hpp	Added new status codes for preprocessing parameter validation errors
src/modelmanager.cpp	Integrated preprocessing parameter parsing into model configuration flow
src/modelinstance.hpp	Updated method signature to reflect layout configuration changes
src/modelinstance.cpp	Refactored preprocessing application logic to handle new parameters
src/modelconfig.hpp	Added data members and method declarations for preprocessing parameters
src/modelconfig.cpp	Implemented parsing logic for mean, scale, color format, and precision
src/config.hpp	Added getter methods for preprocessing parameters
src/config.cpp	Implemented getter methods returning preprocessing configuration values
src/color_format_configuration.hpp	New file defining color format configuration class
src/color_format_configuration.cpp	Implemented color format parsing and validation
src/cli_parser.cpp	Added CLI options for preprocessing parameters with layout dependency validation
src/capi_frontend/server_settings.hpp	Added preprocessing fields to model settings structure
src/BUILD	Added color format configuration library dependency
spelling-whitelist.txt	Updated line numbers for spelling whitelist entries
docs/parameters.md	Documented new preprocessing parameters
demos/using_onnx_model/python/onnx_model_demo.py	Fixed input names to use correct model input
demos/using_onnx_model/python/config.json	Removed DAG configuration file (now using built-in preprocessing)
demos/using_onnx_model/python/README.md	Updated documentation to reflect built-in preprocessing approach
demos/using_onnx_model/python/Makefile	Removed Makefile (no longer needed without custom nodes)

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