Download evaluation/src/helixbench/engines/postprocess_motion_batch.py from NoizAI/Helixbench: direct link, hf CLI and curl.
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6.89 kB
| #!/usr/bin/env python3 | |
| """Select a moving visual source track for every Grounding DINO result.""" | |
| from __future__ import annotations | |
| import argparse | |
| import json | |
| import shutil | |
| import subprocess | |
| import sys | |
| from pathlib import Path | |
| VEHICLE_SYNONYM_TERMS = [ | |
| "car", | |
| "sedan", | |
| "taxi", | |
| "suv", | |
| "van", | |
| "hatchback", | |
| "pickup", | |
| "truck", | |
| ] | |
| def parse_args() -> argparse.Namespace: | |
| parser = argparse.ArgumentParser() | |
| parser.add_argument("--jobs", type=Path, required=True) | |
| parser.add_argument("--selector", type=Path, required=True) | |
| parser.add_argument("--reselector", type=Path, required=True) | |
| return parser.parse_args() | |
| def main() -> None: | |
| args = parse_args() | |
| jobs = json.loads(args.jobs.read_text(encoding="utf-8"))["jobs"] | |
| results = [] | |
| for index, job in enumerate(jobs, 1): | |
| source = Path(job["grounding_raw_json"]) | |
| target = Path(job["grounding_motion_json"]) | |
| target.parent.mkdir(parents=True, exist_ok=True) | |
| command = [ | |
| sys.executable, | |
| str(args.selector), | |
| "--input", str(source), | |
| "--output", str(target), | |
| "--frames", job["frames"], | |
| "--min-confidence", "0.18", | |
| "--max-gap", "2", | |
| "--terms", *job["source_terms"], | |
| ] | |
| completed = subprocess.run(command, capture_output=True, text=True, check=False) | |
| strict_payload = None | |
| if completed.returncode == 0: | |
| strict_payload = json.loads(target.read_text(encoding="utf-8")) | |
| # Grounding DINO often calls vans/pickups "car", "sedan", or "taxi". | |
| # If the caption-derived truck/van vocabulary yields fewer than eight | |
| # observations (or no track), retry with a fixed visual synonym set. | |
| # This remains audio-blind and is a class-level rule, not a per-clip | |
| # score-driven exception. | |
| source_class = str(job.get("source_class", "")) | |
| should_retry_vehicle = ( | |
| "truck_or_van" in source_class | |
| and ( | |
| strict_payload is None | |
| or int(strict_payload["motion_track"]["selected"]["frames"]) < 8 | |
| ) | |
| ) | |
| retry_payload = None | |
| retry_completed = None | |
| retry_target = target.parent / "vehicle_synonym_retry" / target.name | |
| if should_retry_vehicle: | |
| retry_completed = subprocess.run( | |
| [ | |
| sys.executable, | |
| str(args.selector), | |
| "--input", str(source), | |
| "--output", str(retry_target), | |
| "--frames", job["frames"], | |
| "--min-confidence", "0.18", | |
| "--max-gap", "2", | |
| "--terms", *VEHICLE_SYNONYM_TERMS, | |
| ], | |
| capture_output=True, | |
| text=True, | |
| check=False, | |
| ) | |
| if retry_completed.returncode == 0: | |
| retry_payload = json.loads(retry_target.read_text(encoding="utf-8")) | |
| use_retry = retry_payload is not None and ( | |
| strict_payload is None | |
| or int(retry_payload["motion_track"]["selected"]["frames"]) | |
| > int(strict_payload["motion_track"]["selected"]["frames"]) | |
| ) | |
| if use_retry: | |
| payload = retry_payload | |
| payload["selection_mode"] = "dominant_motion_track_vehicle_synonyms" | |
| payload["motion_track"]["vehicle_synonym_retry"] = True | |
| target.write_text( | |
| json.dumps(payload, ensure_ascii=False, indent=2) + "\n", | |
| encoding="utf-8", | |
| ) | |
| retry_sheet = retry_target.parent / "grounding_contact_sheet.jpg" | |
| if retry_sheet.exists(): | |
| shutil.copy2(retry_sheet, target.parent / "grounding_contact_sheet.jpg") | |
| selected = payload["motion_track"]["selected"] | |
| results.append({ | |
| "rank": job["rank"], "clip_id": job["clip_id"], | |
| "mode": "motion_track_vehicle_synonyms", | |
| "track_frames": selected["frames"], "track_motion": selected["motion"], | |
| }) | |
| elif strict_payload is not None: | |
| payload = strict_payload | |
| selected = payload["motion_track"]["selected"] | |
| results.append({ | |
| "rank": job["rank"], "clip_id": job["clip_id"], "mode": "motion_track", | |
| "track_frames": selected["frames"], "track_motion": selected["motion"], | |
| }) | |
| else: | |
| fallback = subprocess.run( | |
| [ | |
| sys.executable, | |
| str(args.reselector), | |
| "--input", str(source), | |
| "--output", str(target), | |
| "--terms", *job["source_terms"], | |
| "--mode", "dominant", | |
| ], | |
| capture_output=True, | |
| text=True, | |
| check=False, | |
| ) | |
| if fallback.returncode != 0: | |
| raise RuntimeError( | |
| f"motion selector and caption-type fallback both failed for {job['clip_id']}: " | |
| f"{(fallback.stderr or fallback.stdout)[-1200:]}" | |
| ) | |
| payload = json.loads(target.read_text(encoding="utf-8")) | |
| payload["selection_mode"] = "dominant_per_frame_fallback" | |
| payload["motion_track"] = { | |
| "audio_used": False, | |
| "fallback": True, | |
| "error": (completed.stderr or completed.stdout)[-1200:], | |
| "terms": job["source_terms"], | |
| } | |
| target.write_text(json.dumps(payload, ensure_ascii=False, indent=2) + "\n", encoding="utf-8") | |
| results.append({ | |
| "rank": job["rank"], "clip_id": job["clip_id"], "mode": "fallback", | |
| "track_frames": sum(frame.get("source") is not None for frame in payload["frames"]), | |
| "error": payload["motion_track"]["error"], | |
| }) | |
| print(f"[{index:03d}/{len(jobs)}] #{job['rank']:03d} {results[-1]['mode']} frames={results[-1]['track_frames']}", flush=True) | |
| summary = { | |
| "schema": "spatial_alignment.fullband100_motion_tracks.v1", | |
| "clips": len(results), | |
| "motion_tracks": sum(row["mode"].startswith("motion_track") for row in results), | |
| "vehicle_synonym_retries": sum( | |
| row["mode"] == "motion_track_vehicle_synonyms" for row in results | |
| ), | |
| "fallbacks": sum(row["mode"] == "fallback" for row in results), | |
| "results": results, | |
| } | |
| (args.jobs.parent / "motion_track_summary.json").write_text( | |
| json.dumps(summary, ensure_ascii=False, indent=2) + "\n", encoding="utf-8" | |
| ) | |
| print(json.dumps({key: summary[key] for key in ("clips", "motion_tracks", "fallbacks")}, indent=2)) | |
| if __name__ == "__main__": | |
| main() | |