"""Visualize a saved 5fps-protocol prediction window against GT. pred npz (eval_5fps_protocol///preds//start.npz) holds pred[50,192,320,3] + frame_ids[50]. GT for pred[k] is the 5fps dataset frame side/rgb/frame_.png (resized to 320x192). Writes a side-by-side mp4 (GT | pred) and a labeled grid png. """ import argparse from pathlib import Path import numpy as np from PIL import Image DATA = Path("/workspace/gnn_data/hanoi_0420_balanced_5fps") EVAL = Path("/workspace/Ctrl-World-Graph/eval_5fps_protocol") W, H = 320, 192 PREFIX_IDX = {"1s": 4, "3s": 14, "6s": 29, "10s": 49} # last frame of each prefix (0-based) 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=5): 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("--pred-npz", type=Path, default=None) ap.add_argument("--variant", default=None) ap.add_argument("--step", type=int, default=None) ap.add_argument("--episode", default=None) ap.add_argument("--start", type=int, default=None) ap.add_argument("--out-dir", type=Path, default=Path("/workspace/Ctrl-World-Graph/viz_pred_vs_gt")) cli = ap.parse_args() if cli.pred_npz is None: cli.pred_npz = EVAL / cli.variant / f"checkpoint-{cli.step}" / "preds" / cli.episode / f"start{cli.start:04d}.npz" d = np.load(cli.pred_npz) pred, frame_ids = d["pred"], d["frame_ids"] # infer episode from path: .../preds//startNNNN.npz episode = cli.episode or cli.pred_npz.parent.name gt = load_gt(episode, frame_ids) assert gt.shape == pred.shape, f"{gt.shape} vs {pred.shape}" tag = f"{cli.pred_npz.parts[-4]}_{episode}_{cli.pred_npz.stem}" # variant_episode_startNNNN-ish out = cli.out_dir / tag out.mkdir(parents=True, exist_ok=True) # 1) side-by-side mp4 (GT left | pred right) with a 4px white separator sep = np.full((pred.shape[0], H, 4, 3), 255, np.uint8) compare = np.concatenate([gt, sep, pred], axis=2) write_mp4(out / "compare_gt_left_pred_right.mp4", compare, fps=5) write_mp4(out / "pred.mp4", pred, fps=5) write_mp4(out / "gt.mp4", gt, fps=5) # 2) labeled grid: rows=GT/pred, cols = 1s/3s/6s/10s frames cols = list(PREFIX_IDX.items()) grid = np.full((2 * H + 3 * 6, len(cols) * W + (len(cols) + 1) * 6, 3), 255, np.uint8) for c, (name, idx) in enumerate(cols): x = 6 + c * (W + 6) grid[6:6 + H, x:x + W] = gt[idx] grid[12 + H:12 + 2 * H, x:x + W] = pred[idx] gimg = Image.fromarray(grid) try: from PIL import ImageDraw dr = ImageDraw.Draw(gimg) for c, (name, idx) in enumerate(cols): x = 6 + c * (W + 6) dr.text((x + 4, 0), f"{name} (f{int(frame_ids[idx])})", fill=(0, 0, 0)) dr.text((2, 6 + H // 2), "GT", fill=(255, 0, 0)) dr.text((2, 12 + H + H // 2), "PRED", fill=(255, 0, 0)) except Exception: pass gimg.save(out / "grid_GTtop_PREDbottom.png") print("episode:", episode, " frame_ids:", frame_ids[0], "..", frame_ids[-1]) print("saved:", out / "compare_gt_left_pred_right.mp4") print("saved:", out / "grid_GTtop_PREDbottom.png") if __name__ == "__main__": main()