nan
08309f719d
- Added a new cutout tool for selecting regions in images, allowing users to choose mesh shapes based on selected areas. - Introduced depth generation capabilities for rasterized images, including normal data extraction. - Created jobs for generating depth planes and region data, enhancing the AI data generation workflow. - Developed a selection refinement process for cutout regions, improving accuracy in generated outputs. - Established a new region module for handling rasterized image regions and their associated AI generation tasks. - Enhanced node graph builders for asset generation, facilitating smoother integration of new features.
23 lines
821 B
Python
23 lines
821 B
Python
"""Generate depth data and preserve color for one complete image."""
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from ..geometry.generate_depth import generate_depth
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from ..media import copy_color_images, input_frames
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def run(context, parameters):
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context.progress(0.05, "Preparing Depth Plane")
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context.directory.mkdir(parents=True, exist_ok=True)
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with input_frames(context, parameters) as images:
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if len(images) != 1:
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raise ValueError("Depth Plane currently supports one image")
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copy_color_images(images, context.directory)
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archive_path, _normal_path = generate_depth(
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context,
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parameters,
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images[0],
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output_depth=True,
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)
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context.check_cancelled()
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context.progress(1.0, "Depth Plane data is ready")
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return {"image_geometry": archive_path.name}
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