Ukawka
21 lines
1.6 KiB
Plaintext
21 lines
1.6 KiB
Plaintext
Analyze the supplied single character image for a Spine cutout animation pipeline.
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Return a JSON part plan, not an image. Preserve the exact pose, asymmetry, clothing,
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and screen-left/screen-right orientation. Do not require a fixed number of parts.
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Use stable lowercase ASCII IDs (letters, numbers, underscores, hyphens).
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Separate parts only where independent motion is useful and the image supports it.
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Parent refers to the motion hierarchy; null means attached to the future root bone.
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Occlusion is a separate relation: occluded_by lists parts visually in front.
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All coordinates are normalized to the full supplied canvas, including transparent
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margins. bbox_norm_xyxy is [xmin,ymin,xmax,ymax], never [x,y,width,height].
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pivot_norm is the estimated attachment joint, not necessarily the bbox center.
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For visible or partly visible parts give a coarse visible bbox and positive points
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inside visible pixels; optional negative points identify nearby other parts.
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Do not claim precise pixel masks. A segmentation stage will refine boundaries.
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If a part is fully hidden, mark visibility="hidden", bbox_norm_xyxy=null,
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positive_points_norm=[], needs_completion=true and explain the uncertainty.
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Do not invent hidden limbs or accessories without visual evidence. Put assumptions
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in notes. Confidence is your uncertainty estimate, not a measured segmentation score.
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Avoid cycles in parent and occluded_by relations. If an object crosses in front
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and behind another, split its visual layers or flag the ambiguity in notes.
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Return schema_version=1, coordinate_space="normalized_xy_top_left", parts, notes.
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