|
|
| """
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| Phase-2 driver for the reverse-SynthID V4 manual-validation loop.
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|
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| Takes an input folder of watermarked images and emits one or more strength
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| variants per image (``A``, ``B``, ``C``, ... by default). Writes a
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| ``manifest.csv`` that pairs each variant with:
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|
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| - source image path
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| - output path
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| - strength preset
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| - profile key used
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| - PSNR / SSIM achieved
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|
|
| You then paste the variants into the Gemini app, run SynthID detection, and
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| fill in a small ``tally.csv`` (columns: ``source,variant,still_watermarked``,
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| values ``y/n``). Feed both files into ``calibrate_from_feedback.py`` to
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| update the codebook's per-carrier weights and iterate.
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|
|
| Usage::
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|
|
| python scripts/dissolve_batch.py \\
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| --input /path/to/input_images \\
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| --output /path/to/out_dir \\
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| --codebook artifacts/spectral_codebook_v4.npz \\
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| --model nano-banana-pro-preview \\
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| --strengths gentle moderate aggressive
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|
|
| Strengths map to filesystem-safe single-letter variants (A,B,C,D) in
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| manifest order, which makes the tally CSV trivial to fill by hand.
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| """
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|
|
| from __future__ import annotations
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|
|
| import argparse
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| import csv
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| import glob
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| import os
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| import sys
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| import time
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| from typing import List, Optional
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|
|
|
|
| REPO_ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
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| sys.path.insert(0, os.path.join(REPO_ROOT, "src", "extraction"))
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|
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| import cv2
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| import numpy as np
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|
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| from synthid_bypass_v4 import SpectralCodebookV4, SynthIDBypassV4
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|
|
|
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| IMAGE_EXTS = (".png", ".jpg", ".jpeg", ".webp")
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| DEFAULT_STRENGTHS = ("gentle", "moderate", "aggressive")
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| VARIANT_LETTERS = "ABCDEFGH"
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|
|
|
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| def iter_input_images(input_path: str) -> List[str]:
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| """Resolve ``--input`` (file, directory, or glob) to a sorted list."""
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| if os.path.isdir(input_path):
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| out: List[str] = []
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| for ext in IMAGE_EXTS:
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| out.extend(glob.glob(os.path.join(input_path, f"*{ext}")))
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| out.extend(glob.glob(os.path.join(input_path, f"*{ext.upper()}")))
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| return sorted(set(out))
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| if os.path.isfile(input_path):
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| return [input_path]
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|
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| return sorted(glob.glob(input_path))
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|
|
|
|
| def dissolve_one(
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| bypass: SynthIDBypassV4,
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| codebook: SpectralCodebookV4,
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| src: str,
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| out_dir: str,
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| variant_letter: str,
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| strength: str,
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| model: Optional[str],
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| ) -> dict:
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| """Dissolve one image at one strength; return a manifest row."""
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| base = os.path.splitext(os.path.basename(src))[0]
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| out_name = f"{base}__{variant_letter}_{strength}.png"
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| out_path = os.path.join(out_dir, out_name)
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|
|
| t0 = time.time()
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| try:
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| result = bypass.bypass_v4_file(
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| src, out_path, codebook,
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| strength=strength, model=model, verify=False,
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| )
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| row = {
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| "source": os.path.abspath(src),
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| "variant": variant_letter,
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| "strength": strength,
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| "output": os.path.abspath(out_path),
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| "profile_key": result.details["profile_key"],
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| "exact_match": int(bool(result.details["exact_match"])),
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| "psnr": round(result.psnr, 3),
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| "ssim": round(result.ssim, 5),
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| "n_passes_applied": result.details["n_passes_applied"],
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| "n_passes_rolled_back": result.details["n_passes_rolled_back"],
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| "elapsed_sec": round(time.time() - t0, 3),
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| "still_watermarked": "",
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| "notes": "",
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| }
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| except Exception as e:
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| row = {
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| "source": os.path.abspath(src),
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| "variant": variant_letter,
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| "strength": strength,
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| "output": "",
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| "profile_key": "",
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| "exact_match": 0,
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| "psnr": "",
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| "ssim": "",
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| "n_passes_applied": 0,
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| "n_passes_rolled_back": 0,
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| "elapsed_sec": round(time.time() - t0, 3),
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| "still_watermarked": "",
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| "notes": f"ERROR: {e}",
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| }
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| return row
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|
|
|
|
| def run(
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| input_path: str,
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| out_dir: str,
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| codebook_path: str,
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| strengths: List[str],
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| model: Optional[str] = None,
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| limit: Optional[int] = None,
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| manifest_name: str = "manifest.csv",
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| ) -> str:
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| sources = iter_input_images(input_path)
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| if limit is not None:
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| sources = sources[:limit]
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| if not sources:
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| print(f"No images found in {input_path}")
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| sys.exit(2)
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|
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| os.makedirs(out_dir, exist_ok=True)
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|
|
| codebook = SpectralCodebookV4()
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| codebook.load(codebook_path)
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|
|
| if model is not None and model not in codebook.models:
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| print(f"WARNING: --model {model} not found in codebook. "
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| f"Available: {codebook.models}. Proceeding anyway "
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| "(best-effort fallback across models).")
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|
|
| bypass = SynthIDBypassV4()
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|
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| if len(strengths) > len(VARIANT_LETTERS):
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| raise ValueError(
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| f"Too many strengths ({len(strengths)}); "
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| f"max supported: {len(VARIANT_LETTERS)}"
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| )
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| letters = list(VARIANT_LETTERS[:len(strengths)])
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|
|
| manifest_path = os.path.join(out_dir, manifest_name)
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| fieldnames = [
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| "source", "variant", "strength", "output", "profile_key",
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| "exact_match", "psnr", "ssim",
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| "n_passes_applied", "n_passes_rolled_back",
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| "elapsed_sec", "still_watermarked", "notes",
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| ]
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|
|
| print(f"Dissolving {len(sources)} image(s) × {len(strengths)} variant(s) "
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| f"→ {out_dir}")
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| if model:
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| print(f"Model hint: {model}")
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|
|
| rows = []
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| for i, src in enumerate(sources):
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| print(f"[{i + 1}/{len(sources)}] {os.path.basename(src)}")
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| for letter, strength in zip(letters, strengths):
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| row = dissolve_one(
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| bypass=bypass,
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| codebook=codebook,
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| src=src,
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| out_dir=out_dir,
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| variant_letter=letter,
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| strength=strength,
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| model=model,
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| )
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| rows.append(row)
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| if row["notes"].startswith("ERROR"):
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| print(f" {letter}/{strength:12s} {row['notes']}")
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| else:
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| print(f" {letter}/{strength:12s} "
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| f"psnr={row['psnr']:>6} ssim={row['ssim']:>7} "
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| f"profile={row['profile_key']} "
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| f"exact={row['exact_match']}")
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|
|
| with open(manifest_path, "w", newline="") as f:
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| writer = csv.DictWriter(f, fieldnames=fieldnames)
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| writer.writeheader()
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| writer.writerows(rows)
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|
|
| print(f"\nManifest: {manifest_path}")
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| print("\nNext steps:")
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| print(" 1. Upload each ABS-path output to the Gemini app and run "
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| "SynthID detection.")
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| print(" 2. For each row, fill the `still_watermarked` column with "
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| "`y` or `n` (leave blank to skip).")
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| print(f" 3. Save the filled file as tally.csv and run:")
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| print(f" python scripts/calibrate_from_feedback.py "
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| f"--manifest {manifest_path} --tally <your_tally.csv> "
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| f"--codebook {codebook_path}")
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| return manifest_path
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|
|
|
|
| def main() -> None:
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| p = argparse.ArgumentParser(
|
| description="Emit bypass variants for manual Gemini validation.",
|
| )
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| p.add_argument("--input", required=True,
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| help="Path to an image, a directory, or a glob pattern.")
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| p.add_argument("--output", required=True,
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| help="Directory to write variants and manifest.csv into.")
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| p.add_argument("--codebook", required=True,
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| help="Path to the V4 codebook .npz.")
|
| p.add_argument("--strengths", nargs="+", default=list(DEFAULT_STRENGTHS),
|
| choices=["gentle", "moderate", "aggressive", "maximum",
|
| "demolish", "annihilate", "combo",
|
| "blog_pure", "blog_plus", "blog_combo",
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| "residual_pure", "residual_plus", "residual_combo",
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| "regen_pure", "regen_plus", "regen_combo",
|
| "final", "nuke"],
|
| help=f"Strengths to emit (default: {DEFAULT_STRENGTHS}).")
|
| p.add_argument("--model", default=None,
|
| help=(
|
| "Optional model hint (e.g. nano-banana-pro-preview). "
|
| "Omit to let the codebook auto-select by resolution."
|
| ))
|
| p.add_argument("--limit", type=int, default=None,
|
| help="Stop after this many input images (for quick tests).")
|
| p.add_argument("--manifest-name", default="manifest.csv",
|
| help="Manifest filename inside --output (default: manifest.csv).")
|
| args = p.parse_args()
|
|
|
| run(
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| input_path=args.input,
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| out_dir=args.output,
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| codebook_path=args.codebook,
|
| strengths=args.strengths,
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| model=args.model,
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| limit=args.limit,
|
| manifest_name=args.manifest_name,
|
| )
|
|
|
|
|
| if __name__ == "__main__":
|
| main()
|
|
|
