| """Print the motion-score percentile ladder of the candidate pool. |
| |
| The pool is everything select_clips.py would keep *except* the motion cut, so the |
| number printed here is exactly the value to pass as --motion-lo. |
| """ |
| import argparse, csv, json, os, re, bisect |
|
|
| ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) |
| META = os.path.join(ROOT, "meta") |
| csv.field_size_limit(10**9) |
| TALKING = re.compile(r"\b(talk|talks|talking|interview|interviews|interviewed|" |
| r"podcast|podcasts)\b", re.I) |
|
|
| ap = argparse.ArgumentParser() |
| ap.add_argument("--n-frames", type=int, default=10) |
| ap.add_argument("--step", type=float, default=0.5) |
| ap.add_argument("--margin", type=float, default=0.25) |
| ap.add_argument("--motion-hi", type=float, default=60.0) |
| ap.add_argument("--min-aesthetic", type=float, default=5.0) |
| ap.add_argument("--keep-talking", action="store_true") |
| ap.add_argument("--at", type=float, default=None, help="report the percentile of this score") |
| A = ap.parse_args() |
| MIN_SEC = (A.n_frames - 1) * A.step + A.margin |
|
|
| idx = {json.loads(l)["clip"] for l in open(os.path.join(META, "part_index.jsonl"))} |
| mot = [] |
| with open(os.path.join(META, "OpenVid-1M.csv"), newline="") as f: |
| for r in csv.DictReader(f): |
| v = r["video"] |
| if v.startswith(("celebv_", "pixabay_")) or v not in idx: |
| continue |
| try: |
| m, sec, aes = float(r["motion score"]), float(r["seconds"]), float(r["aesthetic score"]) |
| except ValueError: |
| continue |
| if sec < MIN_SEC or m > A.motion_hi or aes < A.min_aesthetic: |
| continue |
| if not A.keep_talking and TALKING.search(r["caption"]): |
| continue |
| mot.append(m) |
|
|
| mot.sort() |
| n = len(mot) |
| print(f"candidate pool (no motion cut): {n:,} clips") |
| for top in (10, 20, 30, 40, 50, 70, 100): |
| print(f" top {top:>3}% -> motion >= {mot[int(n * (1 - top/100))]:.4f}") |
| if A.at is not None: |
| print(f" motion {A.at} sits at top {100 - bisect.bisect_left(mot, A.at)*100/n:.1f}%") |
|
|