| """Prepare local visual evidence for a Codex session (no API, no labels).""" |
| import argparse |
| import json |
| import sys |
| from pathlib import Path |
|
|
| import cv2 |
| import numpy as np |
|
|
| sys.path.insert(0, str(Path(__file__).resolve().parents[2])) |
| import benchmark_gpt6_astra as runner |
|
|
| ROOT = Path('gpt6-reassemble40/results/codex-session') |
| ROLES = ['main', 'wrist', 'external_2'] |
|
|
|
|
| def main(): |
| p = argparse.ArgumentParser() |
| p.add_argument('--case', type=int, action='append') |
| p.add_argument('--full', action='store_true', help='Sheets covering every baseline sample') |
| p.add_argument('--tail', action='store_true', help='Last three timepoints at native resolution') |
| args = p.parse_args() |
| dest = ROOT / 'evidence' |
| dest.mkdir(parents=True, exist_ok=True) |
| for number in args.case or range(31, 71): |
| cid = f'case_{number:03d}' |
| path = Path('gpt6-reassemble40/benchmark/cases') / cid |
| instruction, meta, videos = runner.load_case(path) |
| timestamps, _ = runner.choose_timestamps(meta, 3, 2, 1, 30, 900) |
| if args.tail: |
| selected = timestamps[-3:] |
| width, height, rows = 640, 480, 3 |
| suffix = 'tail' |
| elif args.full: |
| selected = timestamps |
| width, height, rows = 320, 240, 8 |
| suffix = 'full' |
| else: |
| selected = [timestamps[i] for i in sorted({round(i * (len(timestamps)-1)/7) for i in range(8)})] |
| width, height, rows = 320, 240, 8 |
| suffix = 'overview' |
| captures = {r: cv2.VideoCapture(str(path / f'{r}.mp4')) for r in ROLES} |
| for page in range(0, len(selected), rows): |
| subset = selected[page:page+rows] |
| canvas = np.full((50 + (height+24)*len(subset), width*3, 3), 245, dtype=np.uint8) |
| cv2.putText(canvas, f'{cid}: {instruction}', (10, 30), cv2.FONT_HERSHEY_SIMPLEX, .65, (0,0,0), 2) |
| for row,t in enumerate(subset): |
| for col,role in enumerate(ROLES): |
| stream = meta['videos'][role] |
| idx = min(int(stream['num_frames'])-1, round(t*stream['fps'])) |
| cap=captures[role] |
| cap.set(cv2.CAP_PROP_POS_FRAMES, idx) |
| ok, frame = cap.read() |
| if not ok: |
| raise RuntimeError(f'{cid} {role} frame {idx}') |
| y=50+row*(height+24) |
| cv2.putText(canvas, f'{role} t={t:.3f}s', (col*width+5,y+17), cv2.FONT_HERSHEY_SIMPLEX,.5,(0,0,0),1) |
| canvas[y+24:y+24+height,col*width:(col+1)*width] = cv2.resize(frame,(width,height)) |
| name=dest/f'{cid}_{suffix}_{page//rows:02d}.jpg' |
| assert cv2.imwrite(str(name), canvas, [cv2.IMWRITE_JPEG_QUALITY,95]) |
| print(name, flush=True) |
| for cap in captures.values(): |
| cap.release() |
|
|
|
|
| if __name__ == '__main__': |
| main() |
|
|
