- Introduced new utility functions in common nodes for evaluating fields and capturing attributes.
- Simplified volume field calculations in image depth cutout and panorama groups by utilizing new utility functions.
- Enhanced readability and maintainability of the image depth cutout and panorama node groups by removing redundant code and improving function usage.
- Adjusted default values for thickness and depth scale in image relief plane group for better user experience.
- Improved handling of geometry attributes and connections in image depth plane group to streamline processing.
- Introduced color_image.py for preparing standalone color images for tests.
- Added hdr_image.py to create HDR textures for testing.
- Implemented test_image_depth_panorama.py to evaluate panorama topology, UVs, and depth discontinuities.
- Created test_shadeless.py to validate the opacity and HDR color endpoints of the Shadeless group.
- Developed moge3_export.py for exporting dynamic MoGe-3 backbone and ONNX graphs.
- Added material.py to inherit material slots onto generated geometry.
- Built image_depth_panorama.py to construct a quad panorama with depth separation and sampling.
- Added a proposal for depth surface strip cleanup, detailing the rationale and changes to the depth plane and cutout nodes.
- Created specifications for the new cleanup requirements, including scenarios for strip removal and boundary edge detection.
- Developed tasks for implementing shared strip detection logic and integrating new interfaces for depth nodes.
- Established a new CLI structure for organizing node groups and model commands, replacing old entry points with a more intuitive command structure.
- Introduced a prototype for panorama surface generation, including requirements for distance reconstruction and geometry node surfaces.
- Added comprehensive tests for depth strip cleanup functionality, ensuring correct behavior for various mesh topologies and edge cases.
- Added parameterized tests for image edit replacement to ensure alpha mode preservation.
- Refactored existing tests to utilize new image editing methods and improve clarity.
- Introduced new tests for image target functionality, ensuring proper handling of shared textures and context.
- Updated various tests to validate alpha mode handling across different scenarios.
- Improved undo/redo functionality in image operators to maintain state consistency.
- Added support for texture node actions, enhancing integration with Blender's node system.
- Ensured that image properties are preserved during operations and that invalid contexts are handled gracefully.
- Implemented the "O Image Relief Plane" Geometry Nodes group to create a fixed-base image relief using depth images and various parameters.
- Created the "O Shadeless" shader node group to display color without scene lighting while preserving shadows and reflections.
- Introduced a preview feature for node groups, allowing for interactive visualization of node arrangements in an HTML format.
- Added a template HTML file for rendering node previews with customizable views and controls.
- Implemented `image_plane.py` to build the Image Plane Geometry Nodes group with customizable parameters for geometry, subdivide, and thickness.
- Created `image_plane_validation.py` to validate the functionality of the image plane, ensuring correct geometry generation and material assignment.
- Developed `material_layers.py` to construct shader node groups for image materials, including depth and normal handling.
- Authored `plane_layouts.py` to define node arrangements for image geometry assets.
- Introduced `shadeless.py` to create a shadeless shader node group that displays color without scene lighting while preserving shadows and reflections.
- Implemented `cutout_shell.py` to build front normals and shell positions for balloon geometry.
- Created `cutout_volume.py` to establish smooth center fields and manage balloon surface attributes.
- Introduced `pisa_sr_export.py` for exporting PiSA-SR components with dependencies and asset finalization.
- Implemented `cutout_depth_surface.py` for face separation and connected thickness calculations for depth surface assets.
- Created `cutout_depth_surface_layout.py` to arrange nodes for staggered calculation branches in depth surface processing.
- Authored `geometry_layouts.py` to define layouts for various geometry assets, including image cutouts and depth planes.
- Introduced `node_layout.py` for shared presentation rules, facilitating node arrangement and validation in geometry-node layouts.
- Introduced `test_edge_depth.py` to validate the functionality of edge depth extension, ensuring core alpha preservation, proper depth handling, and edge padding behavior.
- Created `test_empty_image_edits.py` to verify the behavior of image edits in Blender, focusing on shared edits, preservation of image properties, and handling of failed operations.
- Developed `test_material_view_adaptation.py` to test material adaptation preferences, ensuring color space and alpha settings are correctly applied and preserved across various scenarios.
- Introduced tests for color image handling, ensuring source preservation and premultiplied alpha usage.
- Implemented tests for brush stroke operations, validating segment boundaries and brush anti-aliasing.
- Added tests for frame anti-aliasing, confirming correct rendering behavior with various alpha values and depth settings.
- Created tests for frame projection, ensuring accurate overlap calculations and half-plane clipping.
- Developed tests for image premultiplied retention, verifying behavior during loading and packing processes.
- Added undo functionality tests for mask operations, ensuring single transaction behavior during edits.
- Added a new "Stretch Limit" parameter to the Depth Surface node, allowing for dynamic edge culling based on the ratio of original to projected edge lengths.
- Updated the geometry processing to capture original edge lengths before projection and calculate current lengths after projection.
- Implemented logic to delete edges and faces that exceed the stretch limit, ensuring cleaner topology.
- Enhanced tests to validate the new functionality, including scenarios for edge retention and deletion based on stretch limits.
- Updated documentation and node assets to reflect the new parameter and its implications on geometry processing.
- Renamed "Base Plane Depth" to "Reference Depth" across validate_cutout.py for consistency.
- Introduced a new specification for Cutout mesh sampling to ensure source pixel spacing is preserved and limits are applied correctly.
- Unified naming conventions for image editing results to maintain consistency across Remove Background, Upscale, and Crop operations.
- Updated the handling of Refine Selection to ensure it retains the original bounds and does not apply unnecessary cropping.
- Enhanced material generation logic to connect image color directly to IOR Level, improving the rendering of dark areas.
- Established clear requirements for geometry depth controls and image result materials to ensure consistent behavior across different components.
- Removed outdated logic and ensured all changes are documented and tested for regression.
- Replace 'mps' with 'coreml' as the identifier for Apple CoreML Execution Provider across the codebase.
- Remove Apple chip generation checks and ensure CoreML is available on all macOS arm64 devices.
- Adjust ONNX Runtime session creation to use default CoreML configurations without forcing 'MLProgram'.
- Implement support for MoGe-2 to utilize CoreML with static input shape requirements.
- Enhance server panel to display restart and stop controls consistently across running states, including 'BUSY'.
- Update UI tests to verify new behavior for server controls and cached model display.
- Bump blendjob dependency version to 0.1.16 in packaging tests and configurations.
- Introduced a new design for selection rasterization that decouples the selection geometry from the image content, ensuring that the SelectionMask is independent of the source image's alpha and color.
- Updated the `rasterize_selection_path` function to only accept selection paths and image dimensions, removing parameters related to source alpha and alpha thresholds.
- Implemented a new approach for handling selection paths using non-zero winding fill, ensuring overlapping areas are preserved.
- Enhanced performance by utilizing a scanline algorithm for rasterization, significantly reducing processing time for high-resolution images.
- Updated internal documentation and added comprehensive tests to validate the new behavior and performance improvements.
- Ensured backward compatibility by maintaining existing interfaces where necessary while introducing breaking changes in the selection processing logic.
- Introduced a new memory management policy for ONNX Runtime to release temporary GPU memory after inference completion.
- Established a shared inference entry point for all ONNX models, differentiating between long-lived sessions and temporary memory arenas.
- Updated CUDA sessions to utilize a shrinkable memory arena, reclaiming GPU memory post-inference.
- Ensured consistent memory release semantics across BEN2, DA3, MoGe-2, and Upscale models while reusing existing sessions.
- Added lifecycle tests to validate temporary memory release and session reuse.
- Modified model adapters to integrate the new memory management features, ensuring backward compatibility with existing inference behavior.
- Enhanced unit tests to cover new memory release scenarios and verify correct behavior across different execution providers.
- Implemented viewport.py for handling 3D view projections, gestures, and overlay drawing.
- Created refine_image_selection.py to manage the refinement of gesture masks and output image bounds.
- Added selection module with refine_selection.py to process and crop images based on alpha channel visibility.
- Introduced __init__.py for selection module to expose refine_selection function.
