| """Shared helpers for ViViD-5k artifact generation scripts.""" |
| from pathlib import Path |
|
|
| |
| 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"]) |
|
|
