Add support for smart object layers

[EmilDohne]

New Features:

• Add support for SmartObject layers SmartObjectLayer<T>, psapi.SmartObjectLayer_*bit
• add support for SmartObject warps (Exceptions being "smart" perspective warp and puppet warp)

Python

• Expose all mask parameters that were previously hidden. This includes mask_disabled, mask_relative_to_layer, mask_default_color, mask_density, mask_feather, mask_position, mask_width and mask_height

Bugfixes

• Masks on layers now are better supported and have their width and height decoupled from the layers' width and height (except for during construction of image layers).
• Internal: Harden file section write to be less error prone using scoped section markers

C++

• Harden template requirements to only allow uint8_t, uint16_t, float for all Photoshop related templates

Python

• Add missing is_visible and is_locked arguments to constructor of layers

Breaking Changes:

• Layer coordinates are no longer expressed relative to the canvas center but rather relative to canvas top left to be more in line with photoshop
  • Example: if previously for a 64x64 canvas a centered layer was at (0, 0), now it would be at (32, 32)
• Layer opacity is now expressed as a float (but still backed by a uint8_t

C++

• Drop C++17 support
• Public facing API was changed from camelCase to snake_case to be more in line and equal to python bindings
• All previously public member variables are now private with appropriate getters and setters to allow the API to implement more logic on them in the future

Python

• All image data is no longer expressed as a property but instead as method as these are potentially quite expensive to compute
• ImageLayer_*bit.channels property is now ImageLayer_*bit.channel_indices()

Miscellaneous

• Add Compositing Framework to prepare for eventual layer stack compositing
• Internal: Add basic 2D rendering framework
• Internal: Add Geometry Framework to allow for parsing of Quad Meshes and Bezier Surfaces
• Internal: Add Parsing of Descriptors
• Internal: Simplify endian functions to work more generically
• Refactor large parts of the internal API.
• Refactor inheritance structure of Image Based layers and extract mask logic to mixin

Dependencies

• Add OpenImageIO as dependency (via vcpkg)
• Add fmt as dependency (via vcpkg)
• Add stduiid as dependency (via vcpkg)
• Add eigen3 as dependency (via vcpkg)
• Add json as a submodule
• Move libdeflate from submodule to vcpkg
• Add vcpkg submodule
• Bump c-blosc2 to 2.15.2

Documentation

• Link in examples directly to hosted docs for easier access

CI:

• Add Clang ubuntu build target
• Add ASAN to all tests (that support it)
• Add Clang ubuntu valgrind target

[EmilDohne]

CI failures seem to be due to stale caches, kicking it off manually seems to fix