#!/usr/bin/env python3 """Sample 100 images per subset into a 10x10 grid.""" import glob import io import os import random import sys import pyarrow.parquet as pq from PIL import Image, ImageDraw, ImageFont BASE = "/media/yxma/Disk1/yuxiang/mini_data_parquet" OUT = os.path.join(BASE, "assets") os.makedirs(OUT, exist_ok=True) N = 100 COLS = 10 THUMB = 144 # smaller to keep image manageable def list_parquets(sub, split_pat="*"): return sorted(glob.glob(os.path.join(BASE, sub, f"{split_pat}-*.parquet"))) def thumbnail(img_bytes, side=THUMB): im = Image.open(io.BytesIO(img_bytes)).convert("RGB") w, h = im.size s = min(w, h) im = im.crop(((w - s) // 2, (h - s) // 2, (w + s) // 2, (h + s) // 2)) return im.resize((side, side), Image.LANCZOS) def make_grid(images, title, cols=COLS, side=THUMB, pad=4, title_h=44): rows = (len(images) + cols - 1) // cols W = pad + cols * (side + pad) H = title_h + rows * (side + pad) + pad canvas = Image.new("RGB", (W, H), (255, 255, 255)) d = ImageDraw.Draw(canvas) try: f = ImageFont.truetype("DejaVuSans-Bold.ttf", 24) except Exception: f = ImageFont.load_default() d.text((pad + 4, 8), title, fill=(0, 0, 0), font=f) for i, im in enumerate(images): r, c = i // cols, i % cols x = pad + c * (side + pad) y = title_h + r * (side + pad) canvas.paste(im, (x, y)) return canvas def collect_uniform(sub, n=N, key_cols=None, seed=42): """Sample n images uniformly across the parquet. If key_cols given, also try to balance across the (key_cols) keyspace. """ rng = random.Random(seed) paths = list_parquets(sub) # First, count total rows counts = [pq.read_metadata(p).num_rows for p in paths] total = sum(counts) if total == 0: return [] # Pick global indices uniformly n = min(n, total) idxs = sorted(rng.sample(range(total), n)) # Walk shards reading only needed rows out = [] cum = 0 idx_iter = iter(idxs) nxt = next(idx_iter, None) for p, c in zip(paths, counts): if nxt is None: break if nxt >= cum + c: cum += c continue # collect local indices in this shard local = [] while nxt is not None and nxt < cum + c: local.append(nxt - cum) nxt = next(idx_iter, None) if local: t = pq.read_table(p, columns=["image"]) for li in local: out.append(t.column("image")[li].as_py()) cum += c return out def main(): subs = sys.argv[1:] if len(sys.argv) > 1 else [ "fota_labeled", "fota_unlabeled", "threedcal", "feats"] for sub in subs: if not list_parquets(sub): print(f"skip {sub} (no parquet found)") continue print(f"sampling 100 from {sub}...", flush=True) imgs = collect_uniform(sub, n=N) thumbs = [thumbnail(b) for b in imgs] title = f"{sub} — 100 random samples" if sub == "feats": title += " (includes black_dot + different gel variants)" g = make_grid(thumbs, title) out = os.path.join(OUT, f"samples_100_{sub}.png") g.save(out, optimize=True) print(f" saved {out} size={g.size}", flush=True) if __name__ == "__main__": main()