Add image selection refinement functionality with BEN2 integration
- 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.
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@@ -8,7 +8,7 @@ from ...server.media.resolution import (
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MAX_MAX_AI_INPUT_SIZE,
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MIN_MAX_AI_INPUT_SIZE,
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)
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from ...common.ai_job import (
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from ...common.ai import (
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invoke_ai_setup_if_needed,
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moge2_parameters,
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production_device,
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@@ -16,7 +16,7 @@ from ...common.ai_job import (
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require_input_path,
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require_model,
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)
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from ...common.image_data import (
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from ...common.image import (
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cleanup_image_input,
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image_user_settings,
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is_image_empty,
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@@ -24,7 +24,7 @@ from ...common.image_data import (
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source_start_frame,
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video_total_frames,
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)
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from ...common.object import create_image_material
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from ...common.material import create_image_material
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from .object import (
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create_color_image,
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create_depth_plane_from_result,
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@@ -2,20 +2,20 @@
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import bpy
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from ...common.image_data import (
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from ...common.image import (
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color_data_name,
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image_empty_bounds,
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image_pixels,
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load_color_result_image,
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require_image_empty,
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)
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from ...common.depth_data import (
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from ...common.depth import (
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depth_uniform_scale,
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load_depth_metadata,
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load_depth_result_image,
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)
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from ...common.material import create_image_material
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from ...common.object import (
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create_image_material,
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finalize_object_result,
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modifier_input_identifier,
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set_modifier_input,
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