File size: 7,809 Bytes
7f79b39 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 | #!/usr/bin/env python3
"""Reconstruct labeled PhysicalAI-Event-Videos chunks from downloaded parents."""
from __future__ import annotations
import argparse
import concurrent.futures
import json
import os
import shutil
import subprocess
import sys
from pathlib import Path
VIDEO_SUFFIXES = {".avi", ".mkv", ".mov", ".mp4", ".webm"}
def safe_part(value: object, field: str) -> str:
text = str(value or "")
if not text or text in {".", ".."} or Path(text).name != text:
raise ValueError(f"unsafe {field}: {text!r}")
return text
def parent_basename(record: dict) -> str:
source = record.get("source_video") or {}
for value in (
record.get("video_path"),
source.get("path"),
source.get("repository_path"),
source.get("archive_member"),
):
if value:
return Path(str(value)).name
raise ValueError(f"no parent-video path for {record.get('dataset')}/{record.get('video_id')}")
def index_parents(root: Path, wanted: set[str]) -> tuple[dict[str, Path], dict[str, list[Path]]]:
found: dict[str, Path] = {}
duplicates: dict[str, list[Path]] = {}
for path in root.rglob("*"):
if not path.is_file() or path.suffix.lower() not in VIDEO_SUFFIXES or path.name not in wanted:
continue
if path.name in found:
duplicates.setdefault(path.name, [found[path.name]]).append(path)
else:
found[path.name] = path
return found, duplicates
def probe(path: Path, ffprobe: str, expected_duration: float) -> tuple[bool, str]:
proc = subprocess.run(
[
ffprobe, "-v", "error", "-show_entries",
"format=duration:stream=codec_name,pix_fmt", "-of", "json", str(path),
],
capture_output=True,
text=True,
)
if proc.returncode:
return False, proc.stderr.strip()[-300:]
try:
data = json.loads(proc.stdout)
duration = float(data["format"]["duration"])
video = next(stream for stream in data["streams"] if stream.get("codec_name"))
except (KeyError, StopIteration, TypeError, ValueError, json.JSONDecodeError) as exc:
return False, f"invalid ffprobe output: {exc}"
if abs(duration - expected_duration) > 0.10:
return False, f"duration {duration:.3f}s != {expected_duration:.3f}s"
if video.get("codec_name") != "h264" or video.get("pix_fmt") != "yuv420p":
return False, f"unexpected video format {video.get('codec_name')}/{video.get('pix_fmt')}"
return True, ""
def encode(job: tuple[Path, Path, float, float], ffmpeg: str, ffprobe: str, force: bool) -> tuple[Path, str]:
source, output, start, end = job
duration = end - start
if output.exists() and not force:
valid, _ = probe(output, ffprobe, duration)
if valid:
return output, "skipped"
output.parent.mkdir(parents=True, exist_ok=True)
temporary = output.with_name(output.name + ".part.mp4")
temporary.unlink(missing_ok=True)
proc = subprocess.run(
[
ffmpeg, "-nostdin", "-hide_banner", "-loglevel", "error", "-y",
"-ss", f"{start:.6f}", "-i", str(source), "-t", f"{duration:.6f}",
"-c:v", "libx264", "-preset", "fast", "-crf", "23",
"-pix_fmt", "yuv420p", "-movflags", "+faststart", "-an", str(temporary),
],
capture_output=True,
text=True,
)
if proc.returncode:
temporary.unlink(missing_ok=True)
raise RuntimeError(f"ffmpeg failed for {source}: {proc.stderr.strip()[-400:]}")
valid, error = probe(temporary, ffprobe, duration)
if not valid:
temporary.unlink(missing_ok=True)
raise RuntimeError(f"validation failed for {source}: {error}")
os.replace(temporary, output)
return output, "written"
def main() -> int:
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--labels", required=True, type=Path)
parser.add_argument("--videos-dir", required=True, type=Path)
parser.add_argument("--output-dir", required=True, type=Path)
parser.add_argument("--workers", type=int, default=4)
parser.add_argument("--dataset", action="append", help="Process only this dataset; repeatable.")
parser.add_argument("--dry-run", action="store_true", help="Resolve inputs and outputs without encoding.")
parser.add_argument("--force", action="store_true", help="Replace valid existing chunks.")
args = parser.parse_args()
if args.workers < 1:
parser.error("--workers must be at least 1")
labels = json.loads(args.labels.read_text(encoding="utf-8"))
selected = set(args.dataset or [])
records = [record for record in labels if not selected or record.get("dataset") in selected]
if selected - {record.get("dataset") for record in labels}:
parser.error(f"unknown dataset(s): {sorted(selected - {r.get('dataset') for r in labels})}")
wanted = {parent_basename(record) for record in records}
parents, duplicates = index_parents(args.videos_dir, wanted)
if duplicates:
for name, paths in sorted(duplicates.items())[:10]:
print(f"duplicate parent basename {name}: {', '.join(map(str, paths))}", file=sys.stderr)
return 2
jobs: list[tuple[Path, Path, float, float]] = []
missing: list[str] = []
for record in records:
dataset = safe_part(record.get("dataset"), "dataset")
video_id = safe_part(record.get("video_id"), "video_id")
basename = parent_basename(record)
source = parents.get(basename)
if source is None:
missing.append(basename)
continue
for chunk in record.get("chunks", []):
chunk_file = safe_part(
chunk.get("chunk_file") or f"chunk_{int(chunk['chunk_index']):03d}.mp4",
"chunk_file",
)
start = float(chunk["start_time_sec"])
end = float(chunk["end_time_sec"])
if start < 0 or end <= start:
raise ValueError(f"invalid interval {start}..{end} for {dataset}/{video_id}/{chunk_file}")
jobs.append((source, args.output_dir / dataset / video_id / chunk_file, start, end))
if missing:
print(f"missing {len(missing)} parent videos; examples: {', '.join(sorted(missing)[:10])}", file=sys.stderr)
return 2
if len({job[1] for job in jobs}) != len(jobs):
raise RuntimeError("duplicate output chunk paths")
print(f"resolved {len(records):,} parent videos and {len(jobs):,} labeled chunks")
if args.dry_run:
print("dry run passed; no files written")
return 0
ffmpeg = shutil.which("ffmpeg")
ffprobe = shutil.which("ffprobe")
if not ffmpeg or not ffprobe:
print("ffmpeg and ffprobe must both be available on PATH", file=sys.stderr)
return 2
counts = {"written": 0, "skipped": 0}
failures: list[str] = []
with concurrent.futures.ThreadPoolExecutor(max_workers=args.workers) as pool:
futures = [pool.submit(encode, job, ffmpeg, ffprobe, args.force) for job in jobs]
for index, future in enumerate(concurrent.futures.as_completed(futures), 1):
try:
_, status = future.result()
counts[status] += 1
except Exception as exc: # keep processing independent clips
failures.append(str(exc))
if index % 100 == 0 or index == len(futures):
print(f"processed {index:,}/{len(futures):,}")
print(f"written {counts['written']:,}; skipped {counts['skipped']:,}; failed {len(failures):,}")
for failure in failures[:10]:
print(f"ERROR: {failure}", file=sys.stderr)
return 1 if failures else 0
if __name__ == "__main__":
raise SystemExit(main())
|