"""Batch GT|pred side-by-side videos for every prediction window of a checkpoint. Mirrors the preds//start.npz layout: writes one combined mp4 per window to ///start.mp4 (GT left + label, pred right). """ import argparse from pathlib import Path import numpy as np from PIL import Image, ImageDraw DATA = Path("/workspace/gnn_data/hanoi_0420_balanced_5fps") W, H, SEP = 320, 192, 4 def label(arr, text, xy=(5, 5)): im = Image.fromarray(arr) d = ImageDraw.Draw(im) tw = len(text) * 6 + 8 d.rectangle([xy[0] - 3, xy[1] - 3, xy[0] + tw, xy[1] + 13], fill=(0, 0, 0)) d.text(xy, text, fill=(255, 255, 255)) return np.asarray(im) def load_gt(episode, frame_ids): out = [] for fid in frame_ids: im = Image.open(DATA / episode / "side" / "rgb" / f"frame_{int(fid):06d}.png").convert("RGB").resize((W, H), Image.BILINEAR) out.append(np.asarray(im, dtype=np.uint8)) return np.stack(out) def write_mp4(path, frames, fps): try: import mediapy as media media.write_video(str(path), frames, fps=fps) except Exception: import imageio.v2 as imageio imageio.mimwrite(str(path), frames, fps=fps, macro_block_size=None) def main(): ap = argparse.ArgumentParser() ap.add_argument("--ckpt-dir", type=Path, required=True) ap.add_argument("--out-name", default="viz_gt_vs_pred") ap.add_argument("--fps", type=int, default=5) cli = ap.parse_args() preds = cli.ckpt_dir / "preds" out_root = cli.ckpt_dir / cli.out_name npzs = sorted(preds.glob("*/start*.npz")) print(f"{len(npzs)} windows -> {out_root}") sep = np.full((H, SEP, 3), 255, np.uint8) for i, npz in enumerate(npzs, 1): episode = npz.parent.name d = np.load(npz) pred, fids = d["pred"], d["frame_ids"] gt = load_gt(episode, fids) frames = np.stack([ np.concatenate([label(gt[k], "GT"), sep, label(pred[k], "PRED")], axis=1) for k in range(len(pred)) ]) od = out_root / episode od.mkdir(parents=True, exist_ok=True) write_mp4(od / f"{npz.stem}.mp4", frames, cli.fps) if i % 15 == 0 or i == len(npzs): print(f" {i}/{len(npzs)}", flush=True) print("done:", out_root) if __name__ == "__main__": main()