Jens
faeb58ef6d
GeoIntel release gates / Compile, test, contracts and builds (push) Successful in 1m49s
GeoIntel release gates / Python and npm vulnerability policy (push) Successful in 21s
GeoIntel release gates / Production AI image, SBOM and container scan (push) Successful in 5m39s
GeoIntel release gates / Deploy exact gated revision to Unraid (push) Failing after 58m43s
636 lines
23 KiB
Python
636 lines
23 KiB
Python
#!/usr/bin/env python3
|
|
"""Render visual QA contact sheets for exported operator YOLO tile datasets.
|
|
|
|
This helper is operator tooling only. It reads existing tile images and YOLO
|
|
label files, then writes visual evidence artifacts. It does not train, infer,
|
|
fetch provider data or mutate application persistence.
|
|
"""
|
|
|
|
from __future__ import annotations
|
|
|
|
import argparse
|
|
import json
|
|
import math
|
|
from pathlib import Path
|
|
from typing import Any
|
|
|
|
from PIL import Image, ImageDraw, ImageFont
|
|
|
|
|
|
JSON_NAME = "operator_yolo_label_qa_summary.json"
|
|
MARKDOWN_NAME = "operator_yolo_label_qa_contact_sheet.md"
|
|
CONTACT_SHEET_NAME_TEMPLATE = "contact_sheet_{index:03d}.png"
|
|
|
|
|
|
def parse_args() -> argparse.Namespace:
|
|
parser = argparse.ArgumentParser(
|
|
description="Render YOLO tile label overlays into deterministic operator QA contact sheets.",
|
|
)
|
|
parser.add_argument(
|
|
"--summary-path", required=True, help="Path to yolo_tile_dataset_summary.json"
|
|
)
|
|
parser.add_argument(
|
|
"--output-dir",
|
|
required=True,
|
|
help="Directory for JSON, Markdown and PNG artifacts",
|
|
)
|
|
parser.add_argument(
|
|
"--max-tiles", type=int, default=24, help="Maximum selected tiles to render"
|
|
)
|
|
parser.add_argument(
|
|
"--sample-slug",
|
|
action="append",
|
|
default=[],
|
|
help="Render only this sample slug; repeat to select multiple samples.",
|
|
)
|
|
parser.add_argument("--columns", type=int, default=4, help="Contact-sheet columns")
|
|
parser.add_argument(
|
|
"--thumb-size",
|
|
type=int,
|
|
default=256,
|
|
help="Rendered tile thumbnail size in pixels",
|
|
)
|
|
parser.add_argument(
|
|
"--tiles-per-sheet",
|
|
type=int,
|
|
default=64,
|
|
help="Maximum rendered cards per contact-sheet page. Default: 64.",
|
|
)
|
|
parser.add_argument(
|
|
"--blank-range-threshold",
|
|
type=int,
|
|
default=3,
|
|
help="Mark rendered images with grayscale max-min range at or below this value as low variance.",
|
|
)
|
|
return parser.parse_args()
|
|
|
|
|
|
def load_json(path: Path) -> dict[str, Any]:
|
|
with path.open("r", encoding="utf-8") as handle:
|
|
data = json.load(handle)
|
|
if not isinstance(data, dict):
|
|
raise ValueError(f"Expected JSON object in {path}")
|
|
return data
|
|
|
|
|
|
def filter_tiles_by_samples(
|
|
tiles: list[dict[str, Any]], sample_slugs: list[str]
|
|
) -> list[dict[str, Any]]:
|
|
requested = {slug.strip() for slug in sample_slugs if slug.strip()}
|
|
if not requested:
|
|
return tiles
|
|
available = {str(tile.get("sample_slug") or "") for tile in tiles}
|
|
missing = sorted(requested - available)
|
|
if missing:
|
|
raise ValueError(
|
|
f"Requested sample slugs absent from summary: {', '.join(missing)}"
|
|
)
|
|
return [tile for tile in tiles if str(tile.get("sample_slug") or "") in requested]
|
|
|
|
|
|
def resolve_path(raw_path: str | None, summary_path: Path) -> Path | None:
|
|
if not raw_path:
|
|
return None
|
|
|
|
candidate = Path(raw_path)
|
|
if candidate.exists():
|
|
return candidate
|
|
|
|
if candidate.is_absolute() and raw_path.startswith("/app/"):
|
|
local_candidate = Path.cwd() / raw_path.removeprefix("/app/")
|
|
if local_candidate.exists():
|
|
return local_candidate
|
|
|
|
summary_parent_candidate = summary_path.parent / raw_path.removeprefix("/app/")
|
|
if summary_parent_candidate.exists():
|
|
return summary_parent_candidate
|
|
|
|
relative_candidate = summary_path.parent / raw_path
|
|
if relative_candidate.exists():
|
|
return relative_candidate
|
|
|
|
return candidate
|
|
|
|
|
|
def parse_yolo_label_file(
|
|
path: Path | None,
|
|
) -> tuple[list[dict[str, float]], int, bool]:
|
|
if path is None or not path.exists():
|
|
return [], 0, True
|
|
|
|
boxes: list[dict[str, float]] = []
|
|
invalid_count = 0
|
|
for line in path.read_text(encoding="utf-8").splitlines():
|
|
stripped = line.strip()
|
|
if not stripped:
|
|
continue
|
|
parts = stripped.split()
|
|
if len(parts) != 5:
|
|
invalid_count += 1
|
|
continue
|
|
try:
|
|
class_id = int(float(parts[0]))
|
|
center_x = float(parts[1])
|
|
center_y = float(parts[2])
|
|
width = float(parts[3])
|
|
height = float(parts[4])
|
|
except ValueError:
|
|
invalid_count += 1
|
|
continue
|
|
if not (
|
|
0 <= center_x <= 1
|
|
and 0 <= center_y <= 1
|
|
and 0 < width <= 1
|
|
and 0 < height <= 1
|
|
):
|
|
invalid_count += 1
|
|
continue
|
|
boxes.append(
|
|
{
|
|
"class_id": float(class_id),
|
|
"center_x": center_x,
|
|
"center_y": center_y,
|
|
"width": width,
|
|
"height": height,
|
|
}
|
|
)
|
|
return boxes, invalid_count, False
|
|
|
|
|
|
def tile_sort_key(tile: dict[str, Any]) -> tuple[int, str, str, int, int]:
|
|
return (
|
|
-int(tile.get("label_count") or 0),
|
|
str(tile.get("sample_slug") or ""),
|
|
str(tile.get("split") or ""),
|
|
int(tile.get("tile_index") or 0),
|
|
int(tile.get("repeat_index") or 0),
|
|
)
|
|
|
|
|
|
def balanced_tiles_by_sample(
|
|
tiles: list[dict[str, Any]], limit: int
|
|
) -> list[dict[str, Any]]:
|
|
if limit <= 0 or not tiles:
|
|
return []
|
|
grouped: dict[str, list[dict[str, Any]]] = {}
|
|
for tile in tiles:
|
|
grouped.setdefault(str(tile.get("sample_slug") or "unknown"), []).append(tile)
|
|
for sample_tiles in grouped.values():
|
|
sample_tiles.sort(key=tile_sort_key)
|
|
sample_order = sorted(grouped, key=lambda slug: tile_sort_key(grouped[slug][0]))
|
|
|
|
selected: list[dict[str, Any]] = []
|
|
depth = 0
|
|
while len(selected) < limit:
|
|
added = False
|
|
for slug in sample_order:
|
|
sample_tiles = grouped[slug]
|
|
if depth < len(sample_tiles):
|
|
selected.append(sample_tiles[depth])
|
|
added = True
|
|
if len(selected) == limit:
|
|
break
|
|
if not added:
|
|
break
|
|
depth += 1
|
|
return selected
|
|
|
|
|
|
def select_tiles(tiles: list[dict[str, Any]], max_tiles: int) -> list[dict[str, Any]]:
|
|
if max_tiles <= 0:
|
|
raise ValueError("max_tiles must be positive")
|
|
|
|
kept_tiles = [
|
|
tile for tile in tiles if isinstance(tile, dict) and tile.get("kept", True)
|
|
]
|
|
positives = sorted(
|
|
[
|
|
tile
|
|
for tile in kept_tiles
|
|
if not (
|
|
bool(tile.get("is_negative")) or int(tile.get("label_count") or 0) == 0
|
|
)
|
|
],
|
|
key=tile_sort_key,
|
|
)
|
|
negatives = sorted(
|
|
[
|
|
tile
|
|
for tile in kept_tiles
|
|
if bool(tile.get("is_negative")) or int(tile.get("label_count") or 0) == 0
|
|
],
|
|
key=tile_sort_key,
|
|
)
|
|
|
|
negative_slots = (
|
|
min(len(negatives), max(1, max_tiles // 5))
|
|
if negatives and max_tiles > 1
|
|
else 0
|
|
)
|
|
selected = balanced_tiles_by_sample(positives, max_tiles - negative_slots)
|
|
selected.extend(balanced_tiles_by_sample(negatives, negative_slots))
|
|
|
|
if len(selected) < max_tiles:
|
|
selected_ids = {id(tile) for tile in selected}
|
|
remainder = [
|
|
tile
|
|
for tile in sorted(kept_tiles, key=tile_sort_key)
|
|
if id(tile) not in selected_ids
|
|
]
|
|
selected.extend(remainder[: max_tiles - len(selected)])
|
|
|
|
return sorted(selected[:max_tiles], key=tile_sort_key)
|
|
|
|
|
|
def draw_tile_card(
|
|
image_path: Path,
|
|
boxes: list[dict[str, float]],
|
|
tile: dict[str, Any],
|
|
thumb_size: int,
|
|
invalid_label_count: int,
|
|
missing_label_file: bool,
|
|
low_visual_variance: bool,
|
|
relationship_highlights: dict[int, str],
|
|
) -> Image.Image:
|
|
header_height = 44
|
|
card = Image.new(
|
|
"RGB", (thumb_size, thumb_size + header_height), color=(245, 247, 250)
|
|
)
|
|
image = Image.open(image_path).convert("RGB").resize((thumb_size, thumb_size))
|
|
card.paste(image, (0, header_height))
|
|
|
|
draw = ImageDraw.Draw(card)
|
|
draw.rectangle((0, 0, thumb_size - 1, header_height - 1), fill=(20, 31, 44))
|
|
draw.rectangle(
|
|
(0, header_height, thumb_size - 1, thumb_size + header_height - 1),
|
|
outline=(20, 31, 44),
|
|
width=1,
|
|
)
|
|
|
|
font = ImageFont.load_default()
|
|
title = f"{tile.get('sample_slug', 'unknown')} / {tile.get('split', 'unknown')} / labels {tile.get('label_count', 0)}"
|
|
subtitle_parts = [
|
|
str(tile.get("background_category") or tile.get("sample_role") or "unknown")
|
|
]
|
|
if missing_label_file:
|
|
subtitle_parts.append("missing-label-file")
|
|
if invalid_label_count:
|
|
subtitle_parts.append(f"invalid:{invalid_label_count}")
|
|
if low_visual_variance:
|
|
subtitle_parts.append("low-variance")
|
|
if relationship_highlights:
|
|
subtitle_parts.append(f"highlighted:{len(relationship_highlights)}")
|
|
draw.text((6, 6), title[:44], fill=(255, 255, 255), font=font)
|
|
draw.text((6, 24), " | ".join(subtitle_parts)[:52], fill=(191, 219, 254), font=font)
|
|
|
|
highlight_styles = {
|
|
"exact_duplicate": ((0, 220, 255), 5),
|
|
"near_duplicate": ((255, 55, 55), 5),
|
|
"possible_nested": ((255, 0, 220), 5),
|
|
"extreme_aspect_ratio": ((255, 128, 0), 5),
|
|
"small_dimension": ((80, 160, 255), 5),
|
|
"tile_edge": ((57, 255, 20), 5),
|
|
}
|
|
for box_index, box in enumerate(boxes):
|
|
x_center = box["center_x"] * thumb_size
|
|
y_center = box["center_y"] * thumb_size + header_height
|
|
width = box["width"] * thumb_size
|
|
height = box["height"] * thumb_size
|
|
left = max(0, x_center - width / 2)
|
|
top = max(header_height, y_center - height / 2)
|
|
right = min(thumb_size - 1, x_center + width / 2)
|
|
bottom = min(thumb_size + header_height - 1, y_center + height / 2)
|
|
if right < left or bottom < top:
|
|
continue
|
|
relationship = relationship_highlights.get(box_index)
|
|
color, stroke_width = highlight_styles.get(relationship, ((255, 214, 10), 3))
|
|
draw.rectangle((left, top, right, bottom), outline=color, width=stroke_width)
|
|
if relationship:
|
|
draw.rectangle(
|
|
(left, top, min(right, left + 30), min(bottom, top + 12)),
|
|
fill=(20, 31, 44),
|
|
)
|
|
draw.text(
|
|
(left + 2, top + 1),
|
|
f"#{box_index}",
|
|
fill=color,
|
|
font=font,
|
|
)
|
|
|
|
return card
|
|
|
|
|
|
def build_label_highlights(
|
|
summary: dict[str, Any],
|
|
) -> dict[str, dict[int, str]]:
|
|
"""Map audited label rows to their highest-priority visual warning."""
|
|
priorities = {
|
|
"tile_edge": 1,
|
|
"small_dimension": 2,
|
|
"extreme_aspect_ratio": 3,
|
|
"possible_nested": 4,
|
|
"near_duplicate": 5,
|
|
"exact_duplicate": 6,
|
|
}
|
|
highlights: dict[str, dict[int, str]] = {}
|
|
flagged_tiles = summary.get("flagged_tiles") or []
|
|
if not isinstance(flagged_tiles, list):
|
|
return highlights
|
|
|
|
for tile in flagged_tiles:
|
|
if not isinstance(tile, dict) or not tile.get("label_path"):
|
|
continue
|
|
tile_highlights = highlights.setdefault(str(tile["label_path"]), {})
|
|
relationships = tile.get("relationships") or []
|
|
if not isinstance(relationships, list):
|
|
continue
|
|
for relationship in relationships:
|
|
if not isinstance(relationship, dict):
|
|
continue
|
|
relationship_type = str(relationship.get("relationship") or "")
|
|
if relationship_type not in priorities:
|
|
continue
|
|
for field in ("first_index", "second_index"):
|
|
index = relationship.get(field)
|
|
if not isinstance(index, int) or index < 0:
|
|
continue
|
|
existing = tile_highlights.get(index)
|
|
if (
|
|
existing is None
|
|
or priorities[relationship_type] > priorities[existing]
|
|
):
|
|
tile_highlights[index] = relationship_type
|
|
|
|
outliers = tile.get("outliers") or []
|
|
if not isinstance(outliers, list):
|
|
continue
|
|
for outlier in outliers:
|
|
if not isinstance(outlier, dict):
|
|
continue
|
|
category = str(outlier.get("category") or "")
|
|
index = outlier.get("index")
|
|
if category not in priorities or not isinstance(index, int) or index < 0:
|
|
continue
|
|
existing = tile_highlights.get(index)
|
|
if existing is None or priorities[category] > priorities[existing]:
|
|
tile_highlights[index] = category
|
|
|
|
return highlights
|
|
|
|
|
|
def build_relationship_highlights(
|
|
summary: dict[str, Any],
|
|
) -> dict[str, dict[int, str]]:
|
|
"""Backward-compatible name for callers using relationship manifests."""
|
|
return build_label_highlights(summary)
|
|
|
|
|
|
def image_has_low_visual_variance(image_path: Path, blank_range_threshold: int) -> bool:
|
|
image = Image.open(image_path).convert("L")
|
|
min_value, max_value = image.getextrema()
|
|
return (max_value - min_value) <= blank_range_threshold
|
|
|
|
|
|
def build_contact_sheet(
|
|
cards: list[Image.Image], columns: int, output_path: Path
|
|
) -> None:
|
|
if not cards:
|
|
return
|
|
if columns <= 0:
|
|
raise ValueError("columns must be positive")
|
|
|
|
gap = 12
|
|
cell_width = max(card.width for card in cards)
|
|
cell_height = max(card.height for card in cards)
|
|
rows = math.ceil(len(cards) / columns)
|
|
sheet_width = columns * cell_width + (columns + 1) * gap
|
|
sheet_height = rows * cell_height + (rows + 1) * gap
|
|
sheet = Image.new("RGB", (sheet_width, sheet_height), color=(226, 232, 240))
|
|
|
|
for index, card in enumerate(cards):
|
|
row = index // columns
|
|
column = index % columns
|
|
x = gap + column * (cell_width + gap)
|
|
y = gap + row * (cell_height + gap)
|
|
sheet.paste(card, (x, y))
|
|
|
|
sheet.save(output_path)
|
|
|
|
|
|
def build_report(
|
|
summary: dict[str, Any], summary_path: Path, args: argparse.Namespace
|
|
) -> tuple[dict[str, Any], list[Image.Image]]:
|
|
tiles = summary.get("tiles") or []
|
|
if not isinstance(tiles, list):
|
|
raise ValueError("Expected summary tiles to be a list")
|
|
|
|
filtered_tiles = filter_tiles_by_samples(tiles, args.sample_slug)
|
|
selected_tiles = select_tiles(filtered_tiles, args.max_tiles)
|
|
rendered_cards: list[Image.Image] = []
|
|
selected_report_tiles: list[dict[str, Any]] = []
|
|
missing_image_count = 0
|
|
missing_label_file_count = 0
|
|
invalid_label_count = 0
|
|
valid_label_count = 0
|
|
low_visual_variance_tile_count = 0
|
|
highlight_category_counts: dict[str, int] = {}
|
|
label_highlights = build_label_highlights(summary)
|
|
|
|
for tile in selected_tiles:
|
|
image_path = resolve_path(tile.get("image_path"), summary_path)
|
|
label_path = resolve_path(tile.get("label_path"), summary_path)
|
|
boxes, tile_invalid_count, missing_label_file = parse_yolo_label_file(
|
|
label_path
|
|
)
|
|
tile_label_highlights = label_highlights.get(str(label_path), {})
|
|
for category in tile_label_highlights.values():
|
|
highlight_category_counts[category] = (
|
|
highlight_category_counts.get(category, 0) + 1
|
|
)
|
|
invalid_label_count += tile_invalid_count
|
|
valid_label_count += len(boxes)
|
|
if missing_label_file:
|
|
missing_label_file_count += 1
|
|
|
|
rendered = False
|
|
low_visual_variance = False
|
|
if image_path is None or not image_path.exists():
|
|
missing_image_count += 1
|
|
else:
|
|
low_visual_variance = image_has_low_visual_variance(
|
|
image_path, args.blank_range_threshold
|
|
)
|
|
if low_visual_variance:
|
|
low_visual_variance_tile_count += 1
|
|
rendered_cards.append(
|
|
draw_tile_card(
|
|
image_path=image_path,
|
|
boxes=boxes,
|
|
tile=tile,
|
|
thumb_size=args.thumb_size,
|
|
invalid_label_count=tile_invalid_count,
|
|
missing_label_file=missing_label_file,
|
|
low_visual_variance=low_visual_variance,
|
|
relationship_highlights=tile_label_highlights,
|
|
)
|
|
)
|
|
rendered = True
|
|
|
|
selected_report_tiles.append(
|
|
{
|
|
"sample_slug": str(tile.get("sample_slug") or "unknown"),
|
|
"sample_role": str(tile.get("sample_role") or "unknown"),
|
|
"background_category": str(tile.get("background_category") or ""),
|
|
"split": str(tile.get("split") or "unknown"),
|
|
"tile_index": int(tile.get("tile_index") or 0),
|
|
"image_path": str(image_path) if image_path is not None else None,
|
|
"label_path": str(label_path) if label_path is not None else None,
|
|
"label_count": int(tile.get("label_count") or 0),
|
|
"valid_label_count": len(boxes),
|
|
"invalid_label_count": tile_invalid_count,
|
|
"missing_label_file": missing_label_file,
|
|
"low_visual_variance": low_visual_variance,
|
|
"highlighted_label_count": len(tile_label_highlights),
|
|
"rendered": rendered,
|
|
}
|
|
)
|
|
|
|
if args.tiles_per_sheet <= 0:
|
|
raise ValueError("tiles_per_sheet must be positive")
|
|
contact_sheets = [
|
|
{
|
|
"path": CONTACT_SHEET_NAME_TEMPLATE.format(
|
|
index=(start // args.tiles_per_sheet) + 1
|
|
),
|
|
"tile_count": len(rendered_cards[start : start + args.tiles_per_sheet]),
|
|
"columns": args.columns,
|
|
"thumb_size": args.thumb_size,
|
|
}
|
|
for start in range(0, len(rendered_cards), args.tiles_per_sheet)
|
|
]
|
|
relationship_highlight_count = sum(
|
|
highlight_category_counts.get(category, 0)
|
|
for category in ("exact_duplicate", "near_duplicate", "possible_nested")
|
|
)
|
|
outlier_highlight_count = sum(
|
|
highlight_category_counts.get(category, 0)
|
|
for category in ("extreme_aspect_ratio", "small_dimension", "tile_edge")
|
|
)
|
|
|
|
return (
|
|
{
|
|
"status": "ok" if rendered_cards else "no_renderable_tiles",
|
|
"summary_path": str(summary_path),
|
|
"dataset_output_dir": summary.get("output_dir"),
|
|
"class_names": summary.get("class_names", []),
|
|
"max_tiles": args.max_tiles,
|
|
"requested_sample_slugs": sorted(set(args.sample_slug)),
|
|
"columns": args.columns,
|
|
"thumb_size": args.thumb_size,
|
|
"tiles_per_sheet": args.tiles_per_sheet,
|
|
"selected_tile_count": len(selected_tiles),
|
|
"selected_sample_count": len(
|
|
{str(tile.get("sample_slug") or "unknown") for tile in selected_tiles}
|
|
),
|
|
"selected_sample_slugs": sorted(
|
|
{str(tile.get("sample_slug") or "unknown") for tile in selected_tiles}
|
|
),
|
|
"rendered_tile_count": len(rendered_cards),
|
|
"missing_image_count": missing_image_count,
|
|
"missing_label_file_count": missing_label_file_count,
|
|
"invalid_label_count": invalid_label_count,
|
|
"valid_label_count": valid_label_count,
|
|
"low_visual_variance_tile_count": low_visual_variance_tile_count,
|
|
"highlighted_label_count": sum(highlight_category_counts.values()),
|
|
"relationship_highlight_count": relationship_highlight_count,
|
|
"outlier_highlight_count": outlier_highlight_count,
|
|
"highlight_category_counts": dict(
|
|
sorted(highlight_category_counts.items())
|
|
),
|
|
"blank_range_threshold": args.blank_range_threshold,
|
|
"contact_sheets": contact_sheets,
|
|
"selected_tiles": selected_report_tiles,
|
|
},
|
|
rendered_cards,
|
|
)
|
|
|
|
|
|
def write_markdown(report: dict[str, Any], output_dir: Path) -> None:
|
|
lines = [
|
|
"# Operator YOLO Label QA Contact Sheets",
|
|
"",
|
|
f"- status: `{report['status']}`",
|
|
f"- selected tiles: {report['selected_tile_count']}",
|
|
f"- selected source samples: {report['selected_sample_count']}",
|
|
f"- rendered tiles: {report['rendered_tile_count']}",
|
|
f"- missing images: {report['missing_image_count']}",
|
|
f"- missing label files: {report['missing_label_file_count']}",
|
|
f"- invalid label rows: {report['invalid_label_count']}",
|
|
f"- low-variance rendered tiles: {report['low_visual_variance_tile_count']}",
|
|
f"- valid labels rendered: {report['valid_label_count']}",
|
|
f"- highlighted labels: {report['highlighted_label_count']}",
|
|
f"- highlight categories: `{report['highlight_category_counts']}`",
|
|
"",
|
|
"## Contact Sheets",
|
|
"",
|
|
]
|
|
if report["contact_sheets"]:
|
|
for sheet in report["contact_sheets"]:
|
|
lines.append(f"- `{sheet['path']}` ({sheet['tile_count']} tiles)")
|
|
lines.append("")
|
|
lines.append(f"![{sheet['path']}]({sheet['path']})")
|
|
lines.append("")
|
|
else:
|
|
lines.append("- None")
|
|
|
|
lines.extend(["", "## Selected Tiles", ""])
|
|
for tile in report["selected_tiles"]:
|
|
flags = []
|
|
if tile["missing_label_file"]:
|
|
flags.append("missing-label-file")
|
|
if tile["invalid_label_count"]:
|
|
flags.append(f"invalid:{tile['invalid_label_count']}")
|
|
if tile["low_visual_variance"]:
|
|
flags.append("low-variance")
|
|
flag_text = ", ".join(flags) if flags else "ok"
|
|
lines.append(
|
|
"- "
|
|
f"{tile['sample_slug']} ({tile['split']}, {tile['background_category'] or tile['sample_role']}): "
|
|
f"{tile['label_count']} expected labels, {tile['valid_label_count']} rendered labels, {flag_text}"
|
|
)
|
|
|
|
(output_dir / MARKDOWN_NAME).write_text("\n".join(lines) + "\n", encoding="utf-8")
|
|
|
|
|
|
def main() -> int:
|
|
args = parse_args()
|
|
summary_path = Path(args.summary_path).resolve()
|
|
output_dir = Path(args.output_dir).resolve()
|
|
output_dir.mkdir(parents=True, exist_ok=True)
|
|
|
|
summary = load_json(summary_path)
|
|
report, cards = build_report(summary, summary_path, args)
|
|
for page_index, start in enumerate(
|
|
range(0, len(cards), args.tiles_per_sheet), start=1
|
|
):
|
|
page_cards = cards[start : start + args.tiles_per_sheet]
|
|
page_name = CONTACT_SHEET_NAME_TEMPLATE.format(index=page_index)
|
|
build_contact_sheet(page_cards, args.columns, output_dir / page_name)
|
|
|
|
(output_dir / JSON_NAME).write_text(
|
|
json.dumps(report, indent=2, sort_keys=True), encoding="utf-8"
|
|
)
|
|
write_markdown(report, output_dir)
|
|
|
|
print("Operator YOLO label QA contact sheets rendered")
|
|
print(f"Status: {report['status']}")
|
|
print(f"JSON: {output_dir / JSON_NAME}")
|
|
print(f"Markdown: {output_dir / MARKDOWN_NAME}")
|
|
for sheet in report["contact_sheets"]:
|
|
print(f"Contact sheet: {output_dir / sheet['path']}")
|
|
return 0
|
|
|
|
|
|
if __name__ == "__main__":
|
|
raise SystemExit(main())
|