FitAspectHeadSafe

Overview

FitAspectHeadSafe chooses an aspect ratio from a user-supplied list and computes a crop rectangle that keeps a detected subject centred with controllable headroom, footroom, and side margins. It is designed to work with the bounding boxes emitted by MQBBoxMin, maintaining portrait-friendly framing while matching downstream aspect targets.

Inputs

image (IMAGE): Reference image for dimension lookup only.
x, y, w, h (INT): Subject bounding box (e.g., from MQBBoxMin). Coordinates are expressed in pixels relative to the original image.
aspects_csv (STRING, default "2:3,3:4,1:1,9:16,16:9,5:8,8:5"): Comma-separated aspect ratios (width:height). Both portrait and landscape ratios may be provided.
match_to (STRING, default "mq_box"): Determines the target ratio. "mq_box" compares the candidate list to the subject box, "image" matches the full image ratio.
headroom_ratio (FLOAT, default 0.12): Fraction of the candidate height reserved above the subject when expanding the crop.
footroom_ratio (FLOAT, default 0.06): Fraction of height reserved below the subject.
side_margin_ratio (FLOAT, default 0.08): Lateral padding as a fraction of the candidate width.
bottom_priority (FLOAT, default 0.75): Bias when reconciling head/foot violations. Values closer to 1 favour the bottom margin (useful for keeping feet in frame).
horiz_gravity (STRING, default "center"): Horizontal anchoring for the final crop. "left" and "right" pin the rectangle to the image edges; "center" balances around the subject.

Outputs

w (INT), h (INT): Width and height of the recommended crop.
x (INT), y (INT): Top-left coordinate of the crop within the original image.
aspect_used (STRING): The ratio selected from aspects_csv.
debug (STRING): Trace information describing the decision process (chosen ratio, applied margins, violation metrics).

Processing Notes

The node parses the aspect list, finds the closest ratio to either the image or subject box, then expands the subject rectangle with head/foot/side margins.
_cover_min_rect ensures the expanded rectangle is the smallest that matches the chosen ratio while fully covering the desired region.
Vertical placement is refined by evaluating candidate positions and selecting the one with minimum weighted violation, using bottom_priority to bias the result.
The final rectangle is clamped to the image boundaries and rounded to integers.

Tips

Pair with MQBBoxMin to generate the x, y, w, h inputs automatically from a mask.
Supply both portrait and landscape ratios in aspects_csv when you intend to reuse the node for multi-orientation workflows.
Inspect the debug string when tuning headroom/footroom; it lists the applied margin sizes and any constraint violations.*** End Patch

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