mirror of
https://github.com/guillaumemeyer/watermarks-remover.git
synced 2026-08-22 13:11:57 +02:00
Guillaume Meyer (The Opinionated Man)andGitHub
ed8c8bc732
Add stdlib-only detection, inspection, and cleaning for four more formats. - BMP: locate the pixel payload via the DIB header and strip trailing non-image metadata (the only place non-standard BMP metadata can live), rewriting the file-size field. - GIF: drop comment and XMP application extensions while preserving NETSCAPE2.0 looping, ICC, graphic-control, and image blocks. - TIFF (classic + BigTIFF): walk IFD chains and drop XMP/EXIF/GPS/IPTC/ Photoshop/MakerNote tags, zeroing orphaned payloads while keeping strip/tile offsets valid. - EPUB: scrub OPF package metadata and XHTML meta/JSON-LD, clean embedded raster/SVG media, apply Layer A to XHTML body text, and pass OCF-encrypted parts through untouched. All four route through format_dispatch, so the unified CLIs, the HTTP service, and the audits pick them up automatically.
73 lines
2.6 KiB
Python
Executable File
73 lines
2.6 KiB
Python
Executable File
#!/usr/bin/env python3
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"""Inspect raster images (PNG/JPEG/WebP/AVIF/HEIC/BMP/GIF/TIFF) for C2PA and AI-related metadata."""
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from __future__ import annotations
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import argparse
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import sys
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from pathlib import Path
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sys.path.insert(0, str(Path(__file__).resolve().parent))
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from common import classify_finding_confidence, emit_json
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from image_meta import inspect_image
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def main() -> int:
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p = argparse.ArgumentParser(description=__doc__)
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p.add_argument("path", type=Path, help="Image path (PNG/JPEG/WebP/AVIF/HEIC/BMP/GIF/TIFF)")
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p.add_argument("--json", action="store_true")
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p.add_argument(
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"--synthid-dir",
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type=str,
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default=None,
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help="reverse-SynthID checkout root for optional pixel SynthID scoring",
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)
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args = p.parse_args()
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if not args.path.is_file():
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print(f"not a file: {args.path}", file=sys.stderr)
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return 2
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report = inspect_image(args.path, synthid_dir=args.synthid_dir)
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if args.json:
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emit_json(report.to_dict())
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else:
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print(f"Path: {report.path}")
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print(f"Format: {report.format}")
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print(f"C2PA: {report.has_c2pa}")
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print(f"AI metadata: {report.has_ai_metadata}")
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if report.findings:
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print("Findings:")
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for f in report.findings:
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print(f" - [{classify_finding_confidence(f)}] {f}")
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ct = report.tools.get("c2patool") or {}
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print(f"c2patool: {'yes' if ct.get('available') else 'no'}")
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et = report.tools.get("exiftool") or {}
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print(f"exiftool: {'yes' if et.get('available') else 'no'}")
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if et.get("interesting_lines"):
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print("exiftool highlights:")
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for line in et["interesting_lines"][:20]:
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print(f" {line}")
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if report.synthid and report.synthid.get("available"):
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label = "yes" if report.synthid.get("is_watermarked") else "no"
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print(
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"SynthID score: "
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f"confidence {report.synthid.get('confidence', 0.0):.3f} "
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f"(watermarked: {label})"
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)
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if report.synthid.get("is_watermarked"):
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print(
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"Hint: optional pixel removal is available via "
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"clean_image.py IMG --remove-pixel ctrlregen "
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"--ctrlregen-dir $NOAI_WATERMARK_DIR"
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)
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elif report.synthid and report.synthid.get("error"):
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print(f"SynthID score: error: {report.synthid['error']}")
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return 0 if not (report.has_c2pa or report.has_ai_metadata) else 1
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if __name__ == "__main__":
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raise SystemExit(main())
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