Download Ctrl-World-Graph/scripts/viz_batch_compare.py from EndeavourDD/gnn_wm2: direct link, hf CLI and curl.
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https://huggingface.co/datasets/EndeavourDD/gnn_wm2/resolve/main/Ctrl-World-Graph/scripts/viz_batch_compare.py
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hf download hf://datasets/EndeavourDD/gnn_wm2/Ctrl-World-Graph/scripts/viz_batch_compare.py
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curl -L -o viz_batch_compare.py https://huggingface.co/datasets/EndeavourDD/gnn_wm2/resolve/main/Ctrl-World-Graph/scripts/viz_batch_compare.py
2.36 kB
| """Batch GT|pred side-by-side videos for every prediction window of a checkpoint. | |
| Mirrors the preds/<episode>/start<NNNN>.npz layout: writes one combined mp4 per | |
| window to <ckpt-dir>/<out-name>/<episode>/start<NNNN>.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() | |