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57b7d38 | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 | """Repair missing character crops.
Reads each video's existing character_crops/meta/*.json files, re-extracts the
referenced frames from the source video using the SAME ffmpeg parameters
originally used (scene_threshold + scale_width), then re-creates only the
crops that are currently missing on disk. Uses a more permissive minimum-side
policy than the main pipeline so crops from lower-resolution sources survive.
Existing crops are left untouched.
"""
import argparse
import json
import shutil
import subprocess
import sys
from pathlib import Path
from PIL import Image
def discover_source_videos(source_dir: Path) -> dict[str, Path]:
"""Build a stem -> source video path index for fast lookup."""
patterns = ("*.mp4", "*.mkv", "*.mov", "*.avi", "*.webm")
found: dict[str, Path] = {}
for pattern in patterns:
for video in source_dir.rglob(pattern):
found.setdefault(video.stem, video)
return found
def extract_frames(video: Path, output_dir: Path, scene_threshold: float, scale_width: int) -> None:
"""Re-run the same ffmpeg select used by the pipeline so frame indices align."""
output_dir.mkdir(parents=True, exist_ok=True)
vf_parts = [f"select='gt(scene,{scene_threshold})'"]
if scale_width > 0:
vf_parts.append(f"scale={scale_width}:-2")
vf = ",".join(vf_parts)
cmd = [
"ffmpeg",
"-hide_banner",
"-loglevel",
"warning",
"-i",
str(video),
"-vf",
vf,
"-fps_mode",
"vfr",
"-y",
"-compression_level",
"0",
str(output_dir / "%08d.png"),
]
subprocess.run(cmd, check=True)
def gather_missing(meta_dir: Path, crops_dir: Path) -> tuple[dict[str, list[dict]], int]:
"""Return {frame_name: [detection_dict, ...]} for crops missing from disk, plus a count of crops already present."""
by_frame: dict[str, list[dict]] = {}
already_present = 0
for meta_file in sorted(meta_dir.glob("*.json")):
try:
with meta_file.open("r", encoding="utf-8") as fp:
meta = json.load(fp)
except (OSError, json.JSONDecodeError) as exc:
print(f" Skipping malformed meta {meta_file.name}: {exc}", file=sys.stderr)
continue
frame_name = meta.get("frame")
if not frame_name:
continue
for det in meta.get("detections", []):
crop_filename = det.get("file")
if not crop_filename or "crop_box" not in det:
continue
if (crops_dir / crop_filename).exists():
already_present += 1
else:
by_frame.setdefault(frame_name, []).append(det)
return by_frame, already_present
def restore_one(
crop_path: Path,
src_frame: Image.Image,
crop_box: list[int],
min_side: int,
max_side: int,
) -> str:
x1, y1, x2, y2 = (int(round(v)) for v in crop_box)
crop = src_frame.crop((x1, y1, x2, y2))
width, height = crop.size
if width <= 0 or height <= 0:
return "invalid_box"
if min(width, height) < min_side:
return "too_small"
# Optional ceiling on the long side; default behaviour preserves the original size.
if max_side > 0 and max(width, height) > max_side:
scale = max_side / max(width, height)
crop = crop.resize(
(max(1, int(round(width * scale))), max(1, int(round(height * scale)))),
Image.Resampling.LANCZOS,
)
crop.save(crop_path, compress_level=0)
return "ok"
def repair_video(
video_dir: Path,
source_video: Path,
scene_threshold: float,
scale_width: int,
min_side: int,
max_side: int,
) -> dict[str, object]:
crops_dir = video_dir / "character_crops"
meta_dir = crops_dir / "meta"
if not meta_dir.exists():
return {"status": "no_meta"}
by_frame, already_present = gather_missing(meta_dir, crops_dir)
missing_total = sum(len(v) for v in by_frame.values())
if missing_total == 0:
return {"status": "all_present", "already_present": already_present}
temp_frames = video_dir / "_repair_frames"
if temp_frames.exists():
shutil.rmtree(temp_frames)
print(f" Need {missing_total} crop(s) across {len(by_frame)} frame(s); re-extracting...")
try:
extract_frames(source_video, temp_frames, scene_threshold, scale_width)
except subprocess.CalledProcessError as exc:
shutil.rmtree(temp_frames, ignore_errors=True)
return {"status": "ffmpeg_failed", "error": str(exc)}
restored = 0
skipped_small = 0
no_frame = 0
invalid = 0
failed = 0
try:
for frame_name, dets in sorted(by_frame.items()):
frame_path = temp_frames / frame_name
if not frame_path.exists():
no_frame += len(dets)
continue
try:
with Image.open(frame_path) as src:
src_rgb = src.convert("RGB")
for det in dets:
crop_path = crops_dir / det["file"]
try:
result = restore_one(
crop_path,
src_rgb,
det["crop_box"],
min_side,
max_side,
)
except Exception as exc:
print(f" Failed {det['file']}: {exc}", file=sys.stderr)
failed += 1
continue
if result == "ok":
restored += 1
elif result == "too_small":
skipped_small += 1
elif result == "invalid_box":
invalid += 1
except Exception as exc:
print(f" Failed to open {frame_name}: {exc}", file=sys.stderr)
failed += len(dets)
finally:
shutil.rmtree(temp_frames, ignore_errors=True)
return {
"status": "ok",
"already_present": already_present,
"restored": restored,
"skipped_too_small": skipped_small,
"missing_source_frame": no_frame,
"invalid_box": invalid,
"failed": failed,
}
def parse_args() -> argparse.Namespace:
parser = argparse.ArgumentParser(description="Repair missing character crops by re-extracting from source video.")
parser.add_argument("--source-dir", required=True, help="Directory containing source videos (scanned recursively).")
parser.add_argument("--output-root", required=True, help="Root directory holding per-video output subdirs.")
parser.add_argument(
"--target",
default=None,
help="Restrict to this single subdir name (e.g. \"[P3]xxx\"). If omitted, every subdir with a meta dir is processed.",
)
parser.add_argument(
"--scene-threshold",
type=float,
default=0.08,
help="MUST match the scene-threshold used in the original extraction (frame indices align deterministically).",
)
parser.add_argument(
"--scale-width",
type=int,
default=0,
help="MUST match the original extraction. 0 = no scaling (matches the user's pipeline default).",
)
parser.add_argument(
"--min-side",
type=int,
default=512,
help="Drop a restored crop only if its shortest side is below this many pixels.",
)
parser.add_argument(
"--max-side",
type=int,
default=0,
help="Optional ceiling on the longest side; 0 = preserve original resolution.",
)
return parser.parse_args()
def main() -> int:
args = parse_args()
source_dir = Path(args.source_dir)
output_root = Path(args.output_root)
if not source_dir.exists():
print(f"Source dir not found: {source_dir}", file=sys.stderr)
return 2
if not output_root.exists():
print(f"Output root not found: {output_root}", file=sys.stderr)
return 2
if args.target:
targets = [output_root / args.target]
else:
targets = sorted(
d for d in output_root.iterdir()
if d.is_dir() and (d / "character_crops" / "meta").exists()
)
if not targets:
print("No targets found.", file=sys.stderr)
return 1
source_index = discover_source_videos(source_dir)
if not source_index:
print(f"No source videos discovered under {source_dir}", file=sys.stderr)
return 2
summary: list[dict] = []
total_restored = 0
for i, target in enumerate(targets, start=1):
print(f"[{i}/{len(targets)}] {target.name}")
if not target.exists():
print(f" Subdir does not exist: {target}")
summary.append({"target": target.name, "status": "missing_subdir"})
continue
source_video = source_index.get(target.name)
if source_video is None:
print(f" No source video matches stem '{target.name}'")
summary.append({"target": target.name, "status": "no_source"})
continue
try:
result = repair_video(
video_dir=target,
source_video=source_video,
scene_threshold=args.scene_threshold,
scale_width=args.scale_width,
min_side=args.min_side,
max_side=args.max_side,
)
except Exception as exc:
print(f" Repair failed: {exc}", file=sys.stderr)
summary.append({"target": target.name, "status": "error", "error": str(exc)})
continue
print(f" -> {result}")
summary.append({"target": target.name, **result})
if isinstance(result.get("restored"), int):
total_restored += result["restored"]
print(f"\nDone. Total restored: {total_restored}")
report = output_root / "repair_report.json"
try:
with report.open("w", encoding="utf-8") as fp:
json.dump({"summary": summary, "total_restored": total_restored}, fp, ensure_ascii=False, indent=2)
print(f"Report: {report}")
except OSError as exc:
print(f"Could not write report: {exc}", file=sys.stderr)
return 0
if __name__ == "__main__":
raise SystemExit(main())
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