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ff0c419 | 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 | from __future__ import annotations
import argparse
import random
from pathlib import Path
from PIL import Image
from src.ai_image_detector.config import PROCESSED_DATA_DIR
VALID_SUFFIXES = {".jpg", ".jpeg", ".png", ".webp", ".bmp"}
def list_images(directory: Path) -> list[Path]:
if not directory.exists():
raise FileNotFoundError(f"Folder not found: {directory}")
files = [
path
for path in directory.rglob("*")
if path.is_file() and path.suffix.lower() in VALID_SUFFIXES
]
if not files:
raise ValueError(f"No valid images found in: {directory}")
return sorted(files)
def save_as_png(source: Path, destination: Path) -> None:
destination.parent.mkdir(parents=True, exist_ok=True)
with Image.open(source) as image:
image.convert("RGB").save(destination, format="PNG")
def remove_prefix_files(directory: Path, prefix: str) -> int:
removed = 0
for path in directory.glob(f"{prefix}_*.png"):
path.unlink()
removed += 1
return removed
def copy_subset(
files: list[Path],
destination_dir: Path,
prefix: str,
count: int,
seed: int,
) -> int:
rng = random.Random(seed)
candidates = list(files)
rng.shuffle(candidates)
selected = candidates[:count]
written = 0
for index, source in enumerate(selected):
destination = destination_dir / f"{prefix}_{index:05d}_{source.stem}.png"
save_as_png(source, destination)
written += 1
return written
def main() -> None:
parser = argparse.ArgumentParser(
description="Add Gemini-focused fake images plus matched real images into training folders."
)
parser.add_argument(
"--gemini-dir",
type=Path,
required=True,
help="Folder containing Gemini-generated images (fake).",
)
parser.add_argument(
"--real-dir",
type=Path,
required=True,
help="Folder containing real photos for balancing.",
)
parser.add_argument(
"--gemini-count",
type=int,
default=700,
help="How many Gemini fake images to add.",
)
parser.add_argument(
"--real-count",
type=int,
default=None,
help="How many real images to add. Defaults to --gemini-count.",
)
parser.add_argument(
"--fake-prefix",
type=str,
default="gemini_fake",
help="Filename prefix for copied Gemini fake images.",
)
parser.add_argument(
"--real-prefix",
type=str,
default="gemini_match_real",
help="Filename prefix for copied real images.",
)
parser.add_argument(
"--seed",
type=int,
default=42,
help="Random seed for subset sampling.",
)
parser.add_argument(
"--replace-prefix",
action="store_true",
help="Delete existing files with the same prefixes before copying new ones.",
)
args = parser.parse_args()
real_count = args.gemini_count if args.real_count is None else args.real_count
fake_out_dir = PROCESSED_DATA_DIR / "fake"
real_out_dir = PROCESSED_DATA_DIR / "real"
fake_out_dir.mkdir(parents=True, exist_ok=True)
real_out_dir.mkdir(parents=True, exist_ok=True)
gemini_files = list_images(args.gemini_dir)
real_files = list_images(args.real_dir)
if len(gemini_files) < args.gemini_count:
raise ValueError(
f"Requested {args.gemini_count} Gemini images, but only {len(gemini_files)} found."
)
if len(real_files) < real_count:
raise ValueError(
f"Requested {real_count} real images, but only {len(real_files)} found."
)
if args.replace_prefix:
removed_fake = remove_prefix_files(fake_out_dir, args.fake_prefix)
removed_real = remove_prefix_files(real_out_dir, args.real_prefix)
print(f"Removed {removed_fake} fake files with prefix '{args.fake_prefix}'.")
print(f"Removed {removed_real} real files with prefix '{args.real_prefix}'.")
added_fake = copy_subset(
files=gemini_files,
destination_dir=fake_out_dir,
prefix=args.fake_prefix,
count=args.gemini_count,
seed=args.seed,
)
added_real = copy_subset(
files=real_files,
destination_dir=real_out_dir,
prefix=args.real_prefix,
count=real_count,
seed=args.seed + 11,
)
print(f"Added {added_fake} Gemini fake images to {fake_out_dir}")
print(f"Added {added_real} real images to {real_out_dir}")
print("Now run: python train.py")
if __name__ == "__main__":
main()
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