File size: 12,387 Bytes
3e72399 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 | from __future__ import annotations
import json
import uuid
from html import escape
from typing import Any, Dict, List, Sequence, Tuple
def _to_data_url(raw_b64: str) -> str:
if not raw_b64:
return ""
if raw_b64.startswith("data:"):
return raw_b64
return f"data:image/png;base64,{raw_b64}"
def _strip_prefix(label: str) -> str:
if ":" in label:
return label.split(":", 1)[1]
return label
def _value_to_color(value: float, max_abs: float) -> str:
if max_abs <= 0:
return "rgb(225, 225, 223)"
norm = min(1.0, abs(value) / max_abs)
if value >= 0:
base = (225, 225, 223)
target = (1, 109, 1)
else:
base = (225, 225, 223)
target = (221, 19, 19)
r = int(round(base[0] + (target[0] - base[0]) * norm))
g = int(round(base[1] + (target[1] - base[1]) * norm))
b = int(round(base[2] + (target[2] - base[2]) * norm))
return f"rgb({r}, {g}, {b})"
def _format_region_boxes(
regions: Sequence[Dict[str, Any]],
image_size: Tuple[int, int] | None,
) -> List[str]:
if not image_size:
return []
width, height = image_size
boxes = []
for region in regions:
bbox = region.get("bbox")
if not bbox or len(bbox) != 4:
continue
x0, y0, x1, y1 = [float(v) for v in bbox]
if width <= 0 or height <= 0:
continue
left = max(0.0, min(100.0, (x0 / width) * 100))
top = max(0.0, min(100.0, (y0 / height) * 100))
w_pct = max(0.0, min(100.0, ((x1 - x0) / width) * 100))
h_pct = max(0.0, min(100.0, ((y1 - y0) / height) * 100))
idx = region.get("index", 0)
label = escape(region.get("label") or f"Region {int(idx) + 1}")
boxes.append(
"<div class='mm-region' "
f"data-region-index='{idx}' "
f"title='{label}' "
f"style='left:{left:.3f}%;top:{top:.3f}%;width:{w_pct:.3f}%;height:{h_pct:.3f}%;'>"
"</div>"
)
return boxes
def create_multimodal_interaction_html(
image_b64: str,
overlay_b64: str | None,
regions: Sequence[Dict[str, Any]],
features: Sequence[Dict[str, Any]],
interactions: Sequence[Dict[str, Any]],
*,
image_size: Tuple[int, int] | None = None,
top_k: int = 20,
title: str = "Multimodal Interaction View",
) -> str:
if not image_b64:
return "<div class='mm-empty'>No image available.</div>"
view_id = f"mm-interaction-{uuid.uuid4().hex[:8]}"
image_url = _to_data_url(image_b64)
overlay_url = _to_data_url(overlay_b64 or "")
max_abs = max((abs(float(item.get("value", 0.0))) for item in features), default=0.0)
region_labels = {
int(region.get("index", 0)): str(region.get("label") or f"Region {int(region.get('index', 0)) + 1}")
for region in regions
}
tokens_html = []
feature_meta: List[Dict[str, Any]] = []
for item in features:
idx = int(item.get("index", 0))
value = float(item.get("value", 0.0))
modality = item.get("modality") or "text"
ref_index = int(item.get("ref_index", idx))
raw_label = str(item.get("feature", ""))
label = _strip_prefix(raw_label)
if modality == "image":
label = region_labels.get(ref_index, label or f"Region {ref_index + 1}")
display = escape(label)
color = _value_to_color(value, max_abs)
tooltip = escape(f"{label}: {value:+.4f}")
tokens_html.append(
"<span class='mm-token' "
f"data-feature-index='{idx}' data-modality='{modality}' data-ref-index='{ref_index}' "
f"title='{tooltip}' style='background:{color};'>"
f"{display}"
"</span>"
)
feature_meta.append(
{
"index": idx,
"modality": modality,
"ref_index": ref_index,
"label": label,
"value": value,
}
)
edges = []
for item in interactions:
indices = item.get("indices")
if not indices or len(indices) != 2:
continue
try:
i = int(indices[0])
j = int(indices[1])
value = float(item.get("value", 0.0))
except Exception:
continue
if i == j:
continue
edges.append({"i": i, "j": j, "value": value})
edges.sort(key=lambda entry: abs(entry["value"]), reverse=True)
edges = edges[: max(0, int(top_k))]
payload = json.dumps(
{
"edges": edges,
"features": feature_meta,
}
)
region_boxes = _format_region_boxes(regions, image_size)
no_edges_note = "" if edges else "<div class='mm-note'>No interactions to display.</div>"
overlay_html = f"<img class='mm-overlay' src='{overlay_url}' alt='overlay' />" if overlay_url else ""
script_id = f"{view_id}-script"
loader_id = f"{view_id}-loader"
js_code = (
f"const root=document.getElementById('{view_id}');"
"if(!root){return;}"
f"const data={payload};"
"const edges=data.edges||[];"
"const features=data.features||[];"
"const tokens=[...root.querySelectorAll('.mm-token')];"
"const regions=[...root.querySelectorAll('.mm-region')];"
"const linkPanel=root.querySelector('.mm-link-list');"
"const tokenMap=new Map(tokens.map(el=>[el.dataset.featureIndex,el]));"
"const regionMap=new Map(regions.map(el=>[el.dataset.regionIndex,el]));"
"const featureMap=new Map(features.map(f=>[String(f.index),f]));"
"const regionToFeature=new Map("
"features.filter(f=>f.modality==='image').map(f=>[String(f.ref_index),String(f.index)])"
");"
"const adjacency=new Map();"
"edges.forEach(edge=>{"
"const a=String(edge.i);const b=String(edge.j);"
"if(!adjacency.has(a)){adjacency.set(a,[]);}if(!adjacency.has(b)){adjacency.set(b,[]);}"
"adjacency.get(a).push(edge);adjacency.get(b).push(edge);"
"});"
"function clearActive(){"
"tokens.forEach(el=>el.classList.remove('is-active','is-linked'));"
"regions.forEach(el=>el.classList.remove('is-active','is-linked'));"
"if(linkPanel){linkPanel.innerHTML='';}"
"}"
"function markRegion(regionIdx, cls){"
"const el=regionMap.get(String(regionIdx));"
"if(el){el.classList.add(cls);}"
"}"
"function markToken(featureIdx, cls){"
"const el=tokenMap.get(String(featureIdx));"
"if(el){el.classList.add(cls);}"
"}"
"function updateLinks(links, focusIdx){"
"if(!linkPanel){return;}"
"if(!links.length){linkPanel.innerHTML='<div class=\"mm-note\">No linked features.</div>';return;}"
"const rows=links.map(link=>{"
"const other=String(link.i)===focusIdx?String(link.j):String(link.i);"
"const meta=featureMap.get(other)||{};"
"const label=(meta.label||other);"
"const value=Number(link.value||0).toFixed(3);"
"return `<div class='mm-link-row'><span>${label}</span><strong>${value}</strong></div>`;"
"});"
"linkPanel.innerHTML=rows.join('');"
"}"
"function highlightFeature(featureIdx){"
"const focusIdx=String(featureIdx);"
"clearActive();"
"markToken(focusIdx,'is-active');"
"const meta=featureMap.get(focusIdx);"
"if(meta&&meta.modality==='image'){markRegion(meta.ref_index,'is-active');}"
"const links=(adjacency.get(focusIdx)||[]).slice();"
"links.sort((a,b)=>Math.abs(b.value)-Math.abs(a.value));"
"const topLinks=links.slice(0,6);"
"topLinks.forEach(link=>{"
"const other=String(link.i)===focusIdx?String(link.j):String(link.i);"
"markToken(other,'is-linked');"
"const otherMeta=featureMap.get(other);"
"if(otherMeta&&otherMeta.modality==='image'){markRegion(otherMeta.ref_index,'is-linked');}"
"});"
"updateLinks(topLinks,focusIdx);"
"}"
"tokens.forEach(el=>{"
"el.addEventListener('click',()=>highlightFeature(el.dataset.featureIndex));"
"});"
"regions.forEach(el=>{"
"el.addEventListener('click',()=>{"
"const featureIdx=regionToFeature.get(el.dataset.regionIndex);"
"if(featureIdx){highlightFeature(featureIdx);}"
"});"
"});"
"const resetBtn=root.querySelector('.mm-reset');"
"if(resetBtn){resetBtn.addEventListener('click',clearActive);}"
)
return (
"<style>"
".mm-root{font-family:'Segoe UI','Helvetica Neue',Arial,sans-serif;"
"background:#f7f5f2;border:1px solid #e3e3ec;border-radius:18px;padding:20px;"
"display:grid;grid-template-columns:minmax(0,1.2fr) minmax(0,1fr);gap:18px;}"
".mm-image-panel{background:#fff;border:1px solid #e3e3ec;border-radius:16px;"
"padding:16px;box-shadow:0 12px 24px rgba(32,25,40,0.08);}"
".mm-image-wrap{position:relative;border-radius:14px;overflow:hidden;}"
".mm-image-wrap img{display:block;width:100%;height:auto;}"
".mm-overlay{position:absolute;left:0;top:0;width:100%;height:100%;pointer-events:none;}"
".mm-region{position:absolute;border:2px solid rgba(61,44,54,0.35);"
"background:rgba(255,255,255,0.0);border-radius:8px;transition:all .2s ease;"
"cursor:pointer;}"
".mm-region.is-active{border-color:#111111;box-shadow:0 0 0 3px rgba(1,109,1,0.35);}"
".mm-region.is-linked{border-color:#111111;box-shadow:0 0 0 3px rgba(221,19,19,0.35);}"
".mm-token-panel{background:#fff;border:1px solid #e3e3ec;border-radius:16px;"
"padding:16px;box-shadow:0 12px 24px rgba(32,25,40,0.08);display:flex;"
"flex-direction:column;gap:14px;}"
".mm-title{font-size:16px;font-weight:700;color:#2d1f4a;}"
".mm-token-grid{display:flex;flex-wrap:wrap;gap:8px;}"
".mm-token{display:inline-flex;align-items:center;justify-content:center;"
"padding:6px 10px;border-radius:12px;font-size:13px;font-weight:600;"
"color:#2a2140;border:1px solid rgba(60,44,80,0.12);cursor:pointer;"
"transition:all .2s ease;}"
".mm-token.is-active{outline:2px solid #111111;box-shadow:0 10px 18px rgba(1,109,1,0.2);}"
".mm-token.is-linked{outline:2px solid #111111;box-shadow:0 10px 18px rgba(221,19,19,0.2);}"
".mm-controls{display:flex;justify-content:space-between;align-items:center;gap:8px;}"
".mm-reset{border:none;background:#f1efe9;border-radius:999px;padding:6px 12px;"
"font-size:12px;font-weight:600;color:#4a3b4e;cursor:pointer;}"
".mm-link-list{display:flex;flex-direction:column;gap:6px;}"
".mm-link-row{display:flex;justify-content:space-between;gap:8px;font-size:12px;"
"color:#3a2f50;background:#f8f6ff;border-radius:10px;padding:6px 10px;}"
".mm-link-row strong{color:#2d1f4a;}"
".mm-note{font-size:12px;color:#6f5a72;}"
".mm-empty{font-size:14px;color:#7f6f86;}"
"@media (max-width: 900px){"
".mm-root{grid-template-columns:1fr;}}"
"</style>"
f"<div class='mm-root' id='{view_id}'>"
"<div class='mm-image-panel'>"
f"<div class='mm-title'>{escape(title)}</div>"
"<div class='mm-image-wrap'>"
f"<img src='{image_url}' alt='input image' />"
f"{overlay_html}"
f"{''.join(region_boxes)}"
"</div>"
"</div>"
"<div class='mm-token-panel'>"
"<div class='mm-controls'>"
"<div class='mm-title'>Features</div>"
"<button type='button' class='mm-reset'>Reset</button>"
"</div>"
f"<div class='mm-token-grid'>{''.join(tokens_html)}</div>"
f"{no_edges_note}"
"<div class='mm-link-list'></div>"
"</div>"
f"<img class='mm-loader' id='{loader_id}' alt='' "
"src='data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///ywAAAAAAQABAAACAUwAOw==' "
f"onload=\"(function(){{var s=document.getElementById('{script_id}');"
"if(!s||!s.textContent){return;}try{(new Function(s.textContent))();}catch(e){"
"console.warn('mm interaction init failed',e);}})()\" />"
f"<script type='text/plain' id='{script_id}'>{js_code}</script>"
"</div>"
)
|