# locate — find "X" in an image (no detector API assumed) The single contract every consumer (asset-fusion ring, webpage highlight, future explainer/recut overlays) uses: ``` locate(image, target-description) → { box: [x0,y0,x1,y1], center: [cx,cy] } # normalized 0..1 ``` ## Why this exists Author models are unreliable at **regressing pixel coordinates** on a cluttered full image (measured: weak vision models ~16–24% center error → rings land off-target) but reliable at **picking a numbered strip** (~3–4% with the loop below). So: never eyeball coordinates; localize by discrete choice. (RSVP, ACL 2025.) ## Routing — pick the cheapest path that's actually available 1. **A strong detector is available** (e.g. `GEMINI_API_KEY` in env) → `node grounding/locate.mjs auto ""` — one call, done. **Never assume the key exists.** No key → path 2. 2. **No detector (the normal case)** → YOU are the localizer; run the grid loop. ## The grid loop (you read images between steps) ``` node grounding/locate.mjs overlay --out /tmp/g → READ /tmp/g/gv.png (vertical strips 1-9) and gh.png (horizontal 1-9); decide which strip numbers the target spans (list EVERY strip it touches). node grounding/locate.mjs region --vids 4,5 --hids 6,7 --out /tmp/g → READ /tmp/g/gc.png (the region cropped + upscaled, finer 6×6 grid); pick the finer strips. (Pick strips again — do NOT switch to estimating coordinates; discrete choice is the whole point, at BOTH stages.) node grounding/locate.mjs final --region --vids 3,4 --hids 3,4 → the final {box, center}. node grounding/locate.mjs mark --box --out /tmp/g/check.png → VERIFY: READ check.png. Red box ON the target → done. Off → redo region/final with corrected strips (you now know which direction). Never skip this step; it converts silent misses into one cheap retry. ``` ## Ambiguity — resolve BEFORE localizing If the target description can match several instances ("a drum" when the scene has five), no geometry will save you. First make the reference unique ("the right-most drum", "the drum on the front boat"), asking the user if needed — then run the loop. ## Degradation path (if locate.mjs itself is unavailable) The idea is 5 lines — reproduce it with any image tool: draw a numbered 9×9 grid → pick the strips the target spans → crop that region (+pad ~0.4 strip) and upscale → draw a finer 6×6 grid → pick again → map back (`global = region_origin + local × region_size`) → draw the box and LOOK at it. ## Notes - Geometry is frozen in `locate.mjs` (node + ffmpeg, zero npm deps — both already required by hyperframes). Don't re-implement it ad hoc; the measured accuracy holds for THIS implementation. - Consumers: `samples/asset-fusion/_ref-circle-highlight.html` takes `CFG.box` directly from `final`/`auto` output. - Measured end-to-end (same agent, same template, only the localization step differs): eyeballing 6.5% avg center error → this protocol 2.3%, no case worse.