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14d9f17 | 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 | """Shared helpers for ViViD-5k artifact generation scripts."""
from pathlib import Path
# Consistent style for all dataset-card figures (works on HF light + dark themes).
STYLE = {
"accent": "#6366F1",
"secondary": "#94A3B8",
"text": "#334155",
"grid": "#E2E8F0",
"dpi": 150,
"figsize": (8, 4.5),
}
SPLIT_FILES = {"train": "train.txt", "val": "val.txt", "test": "test.txt"}
def parse_bbox(raw):
"""Return (x, y, w, h). COCO bboxes here are flat [x,y,w,h] or nested [[x,y,w,h]]."""
if isinstance(raw, (list, tuple)) and len(raw) == 1 and isinstance(raw[0], (list, tuple)):
raw = raw[0]
if not (isinstance(raw, (list, tuple)) and len(raw) == 4):
raise ValueError(f"Unrecognized bbox format: {raw!r}")
return tuple(float(v) for v in raw)
def load_splits(data_dir):
"""Map file_name -> split. Raises if a file appears in more than one split."""
data_dir = Path(data_dir)
splits = {}
for split, fname in SPLIT_FILES.items():
for line in (data_dir / fname).read_text().splitlines():
name = line.strip()
if not name:
continue
if name in splits:
raise ValueError(f"{name} appears in both {splits[name]} and {split}")
splits[name] = split
return splits
def apply_style(ax):
"""Apply the shared figure style to a matplotlib Axes."""
s = STYLE
ax.spines[["top", "right"]].set_visible(False)
for spine in ("left", "bottom"):
ax.spines[spine].set_color(s["text"])
ax.tick_params(colors=s["text"], labelsize=9)
ax.yaxis.grid(True, color=s["grid"], linewidth=0.8)
ax.set_axisbelow(True)
ax.xaxis.label.set_color(s["text"])
ax.yaxis.label.set_color(s["text"])
ax.title.set_color(s["text"])
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