Texture Atlas Extractor Access

New experimental tools (like Meta's SAM - Segment Anything Model) can look at a texture atlas and identify where one object ends and another begins based on semantic meaning , not just pixel borders.

# Pseudocode for a metadata-based extractor def extract_atlas(atlas_image_path, metadata_path, output_folder): atlas = load_image(atlas_image_path) data = parse_json(metadata_path) for sprite in data["sprites"]: name = sprite["name"] x = sprite["x"] y = sprite["y"] w = sprite["width"] h = sprite["height"] # Extract region of interest sub_image = atlas[y:y+h, x:x+w] # Save as individual file save_image(sub_image, f"{output_folder}/{name}.png") texture atlas extractor

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