Image-Text-to-Text
Transformers
Safetensors
qwen3_5_moe
image-captioning
structured-output
json
object-detection
image-segmentation
keypoint-detection
ocr
vision-language
conversational
Instructions to use briaai/fibo-scene-analyzer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use briaai/fibo-scene-analyzer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="briaai/fibo-scene-analyzer") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] pipe(text=messages)# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("briaai/fibo-scene-analyzer") model = AutoModelForMultimodalLM.from_pretrained("briaai/fibo-scene-analyzer", device_map="auto") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] inputs = processor.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=256) print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use briaai/fibo-scene-analyzer with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "briaai/fibo-scene-analyzer" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "briaai/fibo-scene-analyzer", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker
docker model run hf.co/briaai/fibo-scene-analyzer
- SGLang
How to use briaai/fibo-scene-analyzer with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "briaai/fibo-scene-analyzer" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "briaai/fibo-scene-analyzer", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "briaai/fibo-scene-analyzer" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "briaai/fibo-scene-analyzer", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }' - Docker Model Runner
How to use briaai/fibo-scene-analyzer with Docker Model Runner:
docker model run hf.co/briaai/fibo-scene-analyzer
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`CaptionVisualizer` renders an `SceneDescription` or a `SceneObjectList` beside its image:
the description fields as collapsible cards, and the geometry (bounding boxes, masks,
keypoints, text lines) as SVG overlays on the image. Overlays are toggled per object with
CSS only, so the output needs no JavaScript and no network access, and it works inside a
`gradio.HTML` component.
visualizer = CaptionVisualizer()
visualizer.save("description.html", image, description)
"""
from __future__ import annotations
import base64
import html
import io
import json
import uuid
from pathlib import Path
from typing import Any
from data_model import (
BaseObject,
BodyKeypoint,
BoundingBox,
Color,
GeneralDescription,
ObjectMask,
Person,
SceneDescription,
SceneObjectList,
Text,
_parse_color_token,
_parse_coord_token,
)
from PIL import Image
#: Overlay colors for objects without a color of their own.
PALETTE = ("#FF6B6B", "#F7B801", "#6BCB77", "#4D96FF", "#845EC2", "#FF9671", "#00C9A7", "#F9C74F")
FACE_COLOR = "#FF69B4"
#: Fields shown by dedicated renderers, or as nested objects, instead of as plain values.
_SPECIAL_FIELDS = frozenset(
{
"name",
"kind",
"description",
"details",
"artifacts",
"relationships",
"colors",
"skin_color",
"bounding_boxes",
"face_bbox",
"keypoints",
"mask",
"lines",
"children",
"clothing",
"footwear",
"accessories",
"eyes",
"hair",
"facial_hair",
}
)
_NESTED_LISTS = (
("children", "Children"),
("clothing", "Clothing"),
("footwear", "Footwear"),
("accessories", "Accessories"),
)
_NESTED_SINGLE = (("eyes", "Eyes"), ("hair", "Hair"), ("facial_hair", "Facial hair"))
_WEBP_QUALITY = 90
#: Scoped with `#ROOT`, which each render replaces with its own id, so several renders can
#: share one page.
_FRAGMENT_CSS = """
#ROOT { --cv-bg: #ffffff; --cv-card: #f6f7f9; --cv-card-head: #eceff4; --cv-text: #15181d; --cv-muted: #5b6270;
--cv-border: rgba(120, 130, 150, 0.35); --cv-chip: #e6e9ef; --cv-accent: #3b5bdb;
font-family: system-ui, -apple-system, "Segoe UI", Roboto, "Helvetica Neue", Arial, sans-serif;
font-size: 14px; line-height: 1.5; color: var(--cv-text); }
@media (prefers-color-scheme: dark) {
:root:not([data-theme="light"]) #ROOT { --cv-bg: #16181d; --cv-card: #1e2127; --cv-card-head: #262a32;
--cv-text: #e7e9ee; --cv-muted: #9aa1ae; --cv-border: rgba(160, 170, 190, 0.25); --cv-chip: #2b3039;
--cv-accent: #8ea4ff; }
}
/* An explicit theme on the page (`data-theme`, or gradio's `.dark`) wins over the system one. */
[data-theme="dark"] #ROOT, .dark #ROOT { --cv-bg: #16181d; --cv-card: #1e2127; --cv-card-head: #262a32; --cv-text: #e7e9ee; --cv-muted: #9aa1ae;
--cv-border: rgba(160, 170, 190, 0.25); --cv-chip: #2b3039; --cv-accent: #8ea4ff; }
#ROOT, #ROOT * { box-sizing: border-box; }
#ROOT .cv-form { margin: 0; background: var(--cv-bg); border-radius: 12px; padding: 1rem; }
#ROOT .cv-toggle { display: none; }
#ROOT .cv-layout { display: flex; flex-direction: column; gap: 1.25rem; }
#ROOT .cv-image-panel { width: 100%; min-width: 0; }
#ROOT .cv-image-box { position: relative; border-radius: 10px; overflow: hidden; background: #0d0f13; }
/* The pixel grid the coordinates refer to, without EXIF rotation. */
#ROOT .cv-image { display: block; width: 100%; height: auto; image-orientation: none; }
#ROOT .cv-overlay { position: absolute; inset: 0; width: 100%; height: 100%; pointer-events: none; }
#ROOT .cv-overlay g.cv-ov { display: none; }
/* Keypoint names only for one open person: with all overlays shown they cover the image. */
#ROOT .cv-overlay g.cv-name-label { display: none; }
#ROOT .cv-controls { display: flex; flex-wrap: wrap; gap: 0.5rem; margin-top: 0.75rem; }
#ROOT .cv-button { font: inherit; font-size: 0.82rem; color: var(--cv-text); background: var(--cv-chip);
border: 1px solid var(--cv-border); border-radius: 999px; padding: 0.25rem 0.8rem; cursor: pointer;
user-select: none; }
#ROOT .cv-button:hover { border-color: var(--cv-accent); }
#ROOT .cv-button .cv-on { display: none; }
#ROOT .cv-tree { display: flex; flex-direction: column; gap: 1rem; min-width: 0; }
#ROOT .cv-section h3 { margin: 0 0 0.5rem; font-size: 1rem; }
#ROOT .cv-general { margin: 0; padding: 0; list-style: none; display: flex; flex-direction: column; gap: 0.4rem; }
#ROOT .cv-object { border: 1px solid var(--cv-border); border-radius: 8px; background: var(--cv-card);
margin-bottom: 0.6rem; overflow: hidden; }
#ROOT .cv-object:last-child { margin-bottom: 0; }
#ROOT .cv-summary { display: flex; align-items: center; gap: 0.55rem; padding: 0.55rem 0.8rem; cursor: pointer;
background: var(--cv-card-head); }
#ROOT .cv-summary::-webkit-details-marker { display: none; }
#ROOT .cv-dot { flex: none; width: 11px; height: 11px; border-radius: 50%; box-shadow: 0 0 0 2px var(--cv-bg); }
#ROOT .cv-kind { flex: none; font-size: 0.7rem; text-transform: uppercase; letter-spacing: 0.08em;
color: var(--cv-muted); }
#ROOT .cv-name { font-weight: 600; overflow-wrap: anywhere; }
#ROOT .cv-body { padding: 0.55rem 0.8rem 0.7rem; display: flex; flex-direction: column; gap: 0.45rem; }
#ROOT .cv-field { display: flex; flex-wrap: wrap; align-items: baseline; gap: 0.2rem 0.55rem; }
#ROOT .cv-label { font-size: 0.7rem; text-transform: uppercase; letter-spacing: 0.08em; font-weight: 600;
color: var(--cv-muted); }
#ROOT .cv-value { flex: 1 1 12rem; min-width: 0; overflow-wrap: anywhere; }
#ROOT .cv-list { margin: 0; padding-left: 1.1rem; }
#ROOT .cv-list--plain { list-style: none; padding-left: 0; }
#ROOT .cv-chips { list-style: none; margin: 0; padding: 0; display: flex; flex-wrap: wrap; gap: 0.3rem; }
#ROOT .cv-chip { display: inline-flex; align-items: center; gap: 0.35rem; padding: 0.15rem 0.5rem; border-radius: 999px;
background: var(--cv-chip); font-size: 0.8rem; }
#ROOT .cv-swatch { width: 14px; height: 14px; border-radius: 50%; border: 1px solid var(--cv-border); }
#ROOT .cv-sub > h4 { margin: 0.2rem 0 0.35rem; font-size: 0.85rem; }
#ROOT .cv-empty { margin: 0; color: var(--cv-muted); font-style: italic; }
@media (min-width: 980px) {
#ROOT .cv-layout { flex-direction: row; align-items: flex-start; }
#ROOT .cv-image-panel { flex: 1 1 55%; position: sticky; top: 0.5rem; }
/* A tall image fits the screen height, so it stays in view beside a long description. */
#ROOT .cv-image-box { width: min(100%, calc((100vh - 5rem) * var(--cv-ar, 1))); margin: 0 auto; }
#ROOT .cv-tree { flex: 1 1 45%; }
}
"""
_PAGE_CSS = """
:root { color-scheme: light dark; }
body { margin: 0; padding: 1.25rem 1rem 2.5rem; background: #eef0f4; color: #15181d;
font-family: system-ui, -apple-system, "Segoe UI", Roboto, "Helvetica Neue", Arial, sans-serif; }
@media (prefers-color-scheme: dark) { body { background: #0d0f13; color: #e7e9ee; } }
.cv-page { max-width: 1400px; margin: 0 auto; }
.cv-page h1 { margin: 0 0 1rem; font-size: 1.2rem; }
"""
class CaptionVisualizer:
"""Renders structured scene descriptions as HTML with image overlays."""
def render(
self,
image: Image.Image,
caption: SceneDescription | SceneObjectList | dict | str,
title: str | None = None,
) -> str:
"""A standalone HTML page for `caption` over `image`."""
heading = f"<h1>{html.escape(title)}</h1>" if title else ""
page_title = html.escape(title or "Structured scene description")
return (
"<!DOCTYPE html>\n"
'<html lang="en">\n<head>\n<meta charset="utf-8"/>\n'
'<meta name="viewport" content="width=device-width, initial-scale=1"/>\n'
f"<title>{page_title}</title>\n<style>{_PAGE_CSS}</style>\n</head>\n<body>\n"
f'<div class="cv-page">{heading}{self.render_fragment(image, caption)}</div>\n'
"</body>\n</html>\n"
)
def render_fragment(
self,
image: Image.Image,
caption: SceneDescription | SceneObjectList | dict | str,
title: str | None = None,
) -> str:
"""The visualization as an HTML fragment with its own scoped styles, for embedding."""
caption = self._parse(caption)
return _Render(image, caption, title).html()
def save(
self,
path: str | Path,
image: Image.Image,
caption: SceneDescription | SceneObjectList | dict | str,
title: str | None = None,
) -> Path:
"""Write the standalone page to `path` and return the path."""
path = Path(path)
path.write_text(self.render(image, caption, title), encoding="utf-8")
return path
@staticmethod
def _parse(caption: Any) -> SceneDescription | SceneObjectList:
if isinstance(caption, (SceneDescription, SceneObjectList)):
return caption
data = json.loads(caption) if isinstance(caption, (str, bytes)) else caption
if not isinstance(data, dict):
raise TypeError(f"unsupported caption type {type(caption).__name__}")
if "general" in data:
return SceneDescription.model_validate(data)
return SceneObjectList.model_validate(data)
def _coord(value: Any) -> float:
return _parse_coord_token(value)
def _rgb(color: Color) -> tuple[int, int, int]:
return _parse_color_token(color.red), _parse_color_token(color.green), _parse_color_token(color.blue)
def _box(bbox: BoundingBox) -> tuple[float, float, float, float]:
"""(left, top, right, bottom) in percent, corners ordered."""
x0, y0 = _coord(bbox.top_left.x), _coord(bbox.top_left.y)
x1, y1 = _coord(bbox.bottom_right.x), _coord(bbox.bottom_right.y)
return min(x0, x1), min(y0, y1), max(x0, x1), max(y0, y1)
def _number(value: float) -> str:
return f"{value:.1f}"
def _format_value(value: Any) -> str:
if isinstance(value, list):
if not value:
return ""
return '<ul class="cv-list">' + "".join(f"<li>{_format_value(item)}</li>" for item in value) + "</ul>"
if isinstance(value, dict):
items = "".join(
f'<li><span class="cv-label">{html.escape(str(key))}</span> {_format_value(item)}</li>'
for key, item in value.items()
)
return f'<ul class="cv-list cv-list--plain">{items}</ul>'
if isinstance(value, float):
return f"{value:.2f}".rstrip("0").rstrip(".")
return html.escape(str(value))
def _image_data_url(image: Image.Image) -> str:
buffer = io.BytesIO()
image.convert("RGB").save(buffer, format="WEBP", quality=_WEBP_QUALITY)
return "data:image/webp;base64," + base64.b64encode(buffer.getvalue()).decode("ascii")
class _Render:
"""One render: collects the overlay groups while it walks the caption tree."""
def __init__(self, image: Image.Image, caption: SceneDescription | SceneObjectList, title: str | None):
self.image = image
self.caption = caption
self.title = title
self.root = f"cv-{uuid.uuid4().hex[:12]}"
self.width, self.height = image.size
self.unit = min(self.width, self.height) / 100.0
self.toggles: list[tuple[str, str, str]] = [] # (toggle id, overlay id, color)
self.overlays: list[str] = []
self.counter = 0
# -- page ------------------------------------------------------------------
def html(self) -> str:
if isinstance(self.caption, SceneDescription):
general = self._general(self.caption.general)
objects = self._section("Objects", self.caption.objects or [])
else:
general = ""
objects = self._section("Objects", self.caption.objects or [])
tree = general + objects or '<p class="cv-empty">The scene description has no content.</p>'
all_toggle = f"{self.root}-all"
inputs = f'<input type="checkbox" class="cv-toggle" id="{all_toggle}"/>' if self.toggles else ""
inputs += "".join(f'<input type="checkbox" class="cv-toggle" id="{toggle}"/>' for toggle, _, _ in self.toggles)
controls = ""
if self.toggles:
controls = (
'<div class="cv-controls">'
f'<label class="cv-button" for="{all_toggle}">'
'<span class="cv-off">Show all overlays</span><span class="cv-on">Hide all overlays</span></label>'
'<button type="reset" class="cv-button">Clear</button>'
"</div>"
)
overlay = (
f'<svg class="cv-overlay" viewBox="0 0 {self.width} {self.height}" preserveAspectRatio="none" '
f'xmlns="http://www.w3.org/2000/svg" aria-hidden="true">{"".join(self.overlays)}</svg>'
)
heading = f'<h3 class="cv-title">{html.escape(self.title)}</h3>' if self.title else ""
return (
f'<section id="{self.root}" class="cv-root">'
f"<style>{_FRAGMENT_CSS.replace('#ROOT', '#' + self.root)}{self._toggle_css(all_toggle)}</style>"
f'<form class="cv-form">{inputs}{heading}'
'<div class="cv-layout">'
f'<div class="cv-image-panel"><div class="cv-image-box" style="--cv-ar: {self.width / self.height:.4f}">'
f'<img class="cv-image" src="{_image_data_url(self.image)}" alt="described image"/>{overlay}'
f"</div>{controls}</div>"
f'<div class="cv-tree">{tree}</div>'
"</div></form></section>"
)
def _toggle_css(self, all_toggle: str) -> str:
root = f"#{self.root}"
rules = [
f"{root} input#{all_toggle}:checked ~ .cv-layout .cv-overlay g.cv-ov {{ display: inline; }}",
f'{root} input#{all_toggle}:checked ~ .cv-layout label[for="{all_toggle}"] .cv-off {{ display: none; }}',
f'{root} input#{all_toggle}:checked ~ .cv-layout label[for="{all_toggle}"] .cv-on {{ display: inline; }}',
]
for toggle, overlay_id, color in self.toggles:
label = f'{root} input#{toggle}:checked ~ .cv-layout label[for="{toggle}"]'
group = f'{root} input#{toggle}:checked ~ .cv-layout .cv-overlay g[data-id="{overlay_id}"]'
rules += [
f"{group} {{ display: inline; }}",
f"{group} .cv-name-label {{ display: inline; }}",
f"{label} {{ border-color: {color}; box-shadow: inset 0 0 0 1px {color}; }}",
f"{label} .cv-off {{ display: none; }}",
f"{label} .cv-on {{ display: inline; }}",
]
return "\n".join(rules)
# -- sections --------------------------------------------------------------
def _general(self, general: GeneralDescription | None) -> str:
if general is None:
return ""
data = general.model_dump(exclude_none=True)
items = []
if general.color_palette:
data.pop("color_palette", None)
items.append(self._field("Color palette", self._chips(general.color_palette), tag="li"))
for key, value in data.items():
items.append(self._field(key.replace("_", " ").capitalize(), _format_value(value), tag="li"))
if not items:
return ""
return f'<section class="cv-section"><h3>General</h3><ul class="cv-general">{"".join(items)}</ul></section>'
def _section(self, title: str, objects: list[BaseObject]) -> str:
if not objects:
return ""
body = "".join(self._object(obj, depth=0) for obj in objects)
return f'<section class="cv-section"><h3>{html.escape(title)} ({len(objects)})</h3>{body}</section>'
# -- objects ---------------------------------------------------------------
def _object(self, obj: BaseObject, depth: int) -> str:
self.counter += 1
obj_id = f"{self.root}-o{self.counter}"
color = self._object_color(obj)
line_text = getattr(obj, "text", None)
if line_text is None and getattr(obj, "lines", None):
# A text object has no name; its lines say more than its description.
line_text = " / ".join(line.text for line in obj.lines if line.text)
if len(line_text) > 64:
line_text = line_text[:61] + "..."
name = obj.name or ""
if not name and line_text:
name = f"“{line_text}”"
if not name and obj.description:
snippet = obj.description.strip()
name = snippet if len(snippet) <= 64 else snippet[:61] + "..."
name = name or obj.kind.replace("_", " ")
fields = []
if obj.description and name != obj.description.strip():
fields.append(self._field("Description", html.escape(obj.description)))
if line_text is not None and obj.name:
fields.append(self._field("Text", html.escape(line_text)))
for label, key in (("Details", "details"), ("Artifacts", "artifacts")):
if getattr(obj, key, None):
fields.append(self._field(label, _format_value(getattr(obj, key))))
if obj.relationships:
items = "".join(
f"<li><strong>{html.escape(rel.relationship)}</strong> → {html.escape(rel.to)}</li>"
for rel in obj.relationships
)
fields.append(self._field("Relationships", f'<ul class="cv-list">{items}</ul>'))
if obj.colors:
fields.append(self._field("Colors", self._chips(obj.colors)))
if isinstance(obj, Person) and obj.skin_color:
fields.append(self._field("Skin color", self._chips([obj.skin_color])))
data = obj.model_dump(exclude_none=True)
for key, value in data.items():
if key not in _SPECIAL_FIELDS:
fields.append(self._field(key.replace("_", " ").capitalize(), _format_value(value)))
fields += self._geometry_fields(obj, obj_id, color)
nested = []
for key, title in _NESTED_SINGLE:
item = getattr(obj, key, None)
if item is not None:
nested.append(self._subsection(title, self._object(item, depth + 1)))
for key, title in _NESTED_LISTS:
items = getattr(obj, key, None) or []
if items:
nested.append(self._subsection(title, "".join(self._object(item, depth + 1) for item in items)))
if isinstance(obj, Text) and obj.lines:
nested.append(self._subsection("Lines", "".join(self._object(line, depth + 1) for line in obj.lines)))
body = "".join(fields + nested) or '<p class="cv-empty">No other fields.</p>'
open_attr = " open" if depth == 0 else ""
return (
f'<details class="cv-object"{open_attr}>'
'<summary class="cv-summary">'
f'<span class="cv-dot" style="background:{color}"></span>'
f'<span class="cv-kind">{html.escape(obj.kind.replace("_", " "))}</span>'
f'<span class="cv-name">{html.escape(name)}</span>'
"</summary>"
f'<div class="cv-body">{body}</div>'
"</details>"
)
def _geometry_fields(self, obj: BaseObject, obj_id: str, color: str) -> list[str]:
fields = []
boxes = obj.bounding_boxes or []
if boxes:
shapes = "".join(
self._box_shape(bbox, color, index + 1 if len(boxes) > 1 else None) for index, bbox in enumerate(boxes)
)
items = "".join("<li>({}, {}) → ({}, {})</li>".format(*(_number(v) for v in _box(bbox))) for bbox in boxes)
title = "Bounding boxes" if len(boxes) > 1 else "Bounding box"
fields.append(
self._overlay_field(
title, f"{obj_id}-box", color, shapes, f'<ul class="cv-list cv-list--plain">{items}</ul>'
)
)
if isinstance(obj, Person) and obj.face_bbox is not None:
left, top, right, bottom = _box(obj.face_bbox)
fields.append(
self._overlay_field(
"Face",
f"{obj_id}-face",
FACE_COLOR,
self._box_shape(obj.face_bbox, FACE_COLOR, None),
f"({_number(left)}, {_number(top)}) → ({_number(right)}, {_number(bottom)})",
)
)
if isinstance(obj, Person) and obj.keypoints:
shapes = "".join(self._keypoint_shape(point, color) for point in obj.keypoints)
items = "".join(
f"<li>{html.escape(point.name)} ({_number(_coord(point.point.x))}, "
f"{_number(_coord(point.point.y))})</li>"
for point in obj.keypoints
)
fields.append(
self._overlay_field(
f"Keypoints ({len(obj.keypoints)})",
f"{obj_id}-kp",
color,
shapes,
f'<details><summary>list</summary><ul class="cv-list cv-list--plain">{items}</ul></details>',
)
)
if obj.mask is not None:
shape, summary = self._mask_shape(obj.mask, color)
if shape:
fields.append(self._overlay_field("Mask", f"{obj_id}-mask", color, shape, summary))
else:
fields.append(self._field("Mask", summary))
return fields
def _overlay_field(self, label: str, overlay_id: str, color: str, shapes: str, content: str) -> str:
toggle = f"{overlay_id}-t"
self.toggles.append((toggle, overlay_id, color))
self.overlays.append(f'<g class="cv-ov" data-id="{overlay_id}">{shapes}</g>')
button = (
f'<label class="cv-button" for="{toggle}">'
'<span class="cv-off">Show</span><span class="cv-on">Hide</span></label>'
)
return (
'<div class="cv-field">'
f'<span class="cv-label">{html.escape(label)}</span>{button}'
f'<div class="cv-value">{content}</div>'
"</div>"
)
# -- overlay shapes (viewBox is the image in pixels) -----------------------
def _px(self, x: float, y: float) -> tuple[float, float]:
return x / 100.0 * self.width, y / 100.0 * self.height
def _box_shape(self, bbox: BoundingBox, color: str, index: int | None) -> str:
left, top, right, bottom = _box(bbox)
x0, y0 = self._px(left, top)
x1, y1 = self._px(right, bottom)
width, height = max(x1 - x0, 1.0), max(y1 - y0, 1.0)
stroke = max(self.unit * 0.45, 1.5)
# A white casing under the colored line keeps boxes visible on pixels of the same color.
shape = (
f'<rect x="{x0:.1f}" y="{y0:.1f}" width="{width:.1f}" height="{height:.1f}" fill="none" '
f'stroke="#ffffff" stroke-opacity="0.9" stroke-width="{stroke * 2:.1f}"/>'
f'<rect x="{x0:.1f}" y="{y0:.1f}" width="{width:.1f}" height="{height:.1f}" fill="{color}" '
f'fill-opacity="0.08" stroke="{color}" stroke-width="{stroke:.1f}"/>'
)
if index is not None:
shape += self._label(x0 + stroke, y0 + stroke, str(index))
return shape
def _keypoint_shape(self, point: BodyKeypoint, color: str) -> str:
x, y = self._px(_coord(point.point.x), _coord(point.point.y))
radius = max(self.unit * 0.7, 2.5)
return (
f'<circle cx="{x:.1f}" cy="{y:.1f}" r="{radius:.1f}" fill="{color}" stroke="#ffffff" '
f'stroke-width="{radius * 0.45:.1f}"><title>{html.escape(point.name)}</title></circle>'
'<g class="cv-name-label">'
+ self._label(x + radius * 1.6, y - radius * 1.6, point.name, small=True)
+ "</g>"
)
def _label(self, x: float, y: float, text: str, small: bool = False) -> str:
size = max(self.unit * (2.0 if small else 2.6), 9.0)
return (
f'<text x="{x:.1f}" y="{y + size:.1f}" font-size="{size:.1f}" font-family="system-ui, sans-serif" '
f'font-weight="600" fill="#111418" stroke="#ffffff" stroke-width="{size * 0.25:.1f}" '
f'paint-order="stroke">{html.escape(text)}</text>'
)
def _mask_shape(self, mask: ObjectMask, color: str) -> tuple[str, str]:
rings = []
for ring in mask.polygons or []:
values = [_coord(value) for value in ring]
points = [self._px(x, y) for x, y in zip(values[0::2], values[1::2], strict=False)]
if len(points) >= 3:
rings.append("M" + " L".join(f"{x:.1f},{y:.1f}" for x, y in points) + " Z")
if not rings:
return "", "empty mask"
vertices = sum(len(ring) // 2 for ring in mask.polygons or [])
stroke = max(self.unit * 0.35, 1.2)
path = " ".join(rings)
shape = (
f'<path d="{path}" fill="none" stroke="#ffffff" stroke-opacity="0.9" stroke-width="{stroke * 2:.1f}"/>'
f'<path d="{path}" fill="{color}" fill-opacity="0.35" fill-rule="evenodd" stroke="{color}" '
f'stroke-width="{stroke:.1f}"/>'
)
return shape, f"polygon mask, {len(rings)} ring(s), {vertices} vertices"
# -- small parts -----------------------------------------------------------
@staticmethod
def _field(label: str, content: str, tag: str = "div") -> str:
return (
f'<{tag} class="cv-field"><span class="cv-label">{html.escape(label)}</span>'
f'<div class="cv-value">{content}</div></{tag}>'
)
@staticmethod
def _subsection(title: str, content: str) -> str:
return f'<div class="cv-sub"><h4>{html.escape(title)}</h4>{content}</div>'
@staticmethod
def _chips(colors: list[Color]) -> str:
chips = []
for color in colors:
red, green, blue = _rgb(color)
label = f"{html.escape(color.name)} · " if color.name else ""
chips.append(
f'<li class="cv-chip"><span class="cv-swatch" style="background:rgb({red},{green},{blue})"></span>'
f"{label}rgb({red}, {green}, {blue})</li>"
)
return f'<ul class="cv-chips">{"".join(chips)}</ul>'
def _object_color(self, obj: BaseObject) -> str:
primary = (obj.colors or [None])[0]
if primary is None and isinstance(obj, Person):
primary = obj.skin_color
if primary is not None:
red, green, blue = _rgb(primary)
return f"rgb({red},{green},{blue})"
return PALETTE[self.counter % len(PALETTE)]
|