Helixbench / evaluation /src /helixbench /engines /postprocess_motion_batch.py
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#!/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()