Download 4dcodebench/resim/compose_video.py from AIGeeksGroup/PhysicalWM: direct link, hf CLI and curl.
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https://huggingface.co/datasets/AIGeeksGroup/PhysicalWM/resolve/main/4dcodebench/resim/compose_video.py
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2.26 kB
| #!/usr/bin/env python | |
| """Compose truth | sim... side-by-side comparison video with labels. | |
| Usage: | |
| python compose_video.py --world work/B_03/world \ | |
| --sims work/B_03/out_p1 work/B_03/out_p2 \ | |
| --labels "mu=0.5 e=0.05" "mu=0.02 e=0.9" \ | |
| --out work/B_03/compare_B_03.mp4 | |
| """ | |
| import argparse | |
| import json | |
| from pathlib import Path | |
| import cv2 | |
| import numpy as np | |
| def read_frames(path): | |
| cap = cv2.VideoCapture(str(path)) | |
| frames = [] | |
| while True: | |
| ok, f = cap.read() | |
| if not ok: | |
| break | |
| frames.append(f) | |
| cap.release() | |
| return frames | |
| def main(): | |
| ap = argparse.ArgumentParser() | |
| ap.add_argument("--world", required=True) | |
| ap.add_argument("--sims", nargs="+", required=True) | |
| ap.add_argument("--labels", nargs="+", required=True) | |
| ap.add_argument("--truth-label", default="truth (reference)") | |
| ap.add_argument("--out", required=True) | |
| args = ap.parse_args() | |
| assert len(args.labels) == len(args.sims) | |
| spec = json.loads((Path(args.world) / "spec.json").read_text()) | |
| W, H = spec["video"]["width"], spec["video"]["height"] | |
| fps = spec["video"]["fps"] or 24.0 | |
| panels = [(args.truth_label, read_frames(Path(args.world) / "render.mp4"))] | |
| for sim, lab in zip(args.sims, args.labels): | |
| panels.append((lab, read_frames(Path(sim) / "sim.mp4"))) | |
| n = min(len(f) for _, f in panels) | |
| canvas_w, canvas_h = W * len(panels), H | |
| writer = cv2.VideoWriter(str(args.out), cv2.VideoWriter_fourcc(*"mp4v"), | |
| fps, (canvas_w, canvas_h)) | |
| font = cv2.FONT_HERSHEY_SIMPLEX | |
| for i in range(n): | |
| row = [] | |
| for k, (lab, frames) in enumerate(panels): | |
| f = frames[i] | |
| if f.shape[:2] != (H, W): | |
| f = cv2.resize(f, (W, H)) | |
| tag = f"{lab} [{i+1}/{n}]" | |
| cv2.rectangle(f, (0, 0), (W, 34), (0, 0, 0), -1) | |
| cv2.putText(f, tag, (10, 24), font, 0.62, (255, 255, 255), 2, cv2.LINE_AA) | |
| if k: | |
| cv2.line(f, (0, 0), (0, H), (255, 255, 255), 2) | |
| row.append(f) | |
| writer.write(np.hstack(row)) | |
| writer.release() | |
| print(f"wrote {args.out} ({n} frames, {canvas_w}x{canvas_h})") | |
| if __name__ == "__main__": | |
| main() | |