| 1 | #!/usr/bin/env python3 |
| 2 | """ |
| 3 | PPT Master - Gemini Watermark Remover |
| 4 | |
| 5 | Removes the watermark logo from the bottom-right corner of Gemini-generated images. |
| 6 | Uses a reverse blending algorithm to restore original pixels. |
| 7 | |
| 8 | Usage: |
| 9 | python3 scripts/gemini_watermark_remover.py <image_path> |
| 10 | python3 scripts/gemini_watermark_remover.py <image_path> -o output_path.png |
| 11 | |
| 12 | Examples: |
| 13 | python3 scripts/gemini_watermark_remover.py projects/demo/images/bg_01.png |
| 14 | python3 scripts/gemini_watermark_remover.py image.jpg -o image_clean.jpg |
| 15 | |
| 16 | Dependencies: |
| 17 | pip install Pillow numpy |
| 18 | |
| 19 | Notes: |
| 20 | - Supports PNG, JPG, JPEG formats |
| 21 | - Automatically detects watermark size (48px or 96px) |
| 22 | - Output file defaults to adding an _unwatermarked suffix |
| 23 | """ |
| 24 | |
| 25 | import sys |
| 26 | import argparse |
| 27 | from pathlib import Path |
| 28 | |
| 29 | # Import modules from the same directory |
| 30 | sys.path.insert(0, str(Path(__file__).parent)) |
| 31 | |
| 32 | from console_encoding import configure_utf8_stdio |
| 33 | |
| 34 | configure_utf8_stdio() |
| 35 | |
| 36 | import numpy as np |
| 37 | from PIL import Image |
| 38 | |
| 39 | # Algorithm parameters |
| 40 | ALPHA_THRESHOLD = 0.002 # Alpha threshold; values below this are not processed |
| 41 | MAX_ALPHA = 0.99 # Maximum alpha value to prevent division by zero |
| 42 | LOGO_VALUE = 255 # Logo pixel value (white) |
| 43 | LARGE_IMAGE_THRESHOLD = 1024 |
| 44 | LARGE_LOGO_SIZE = 96 |
| 45 | SMALL_LOGO_SIZE = 48 |
| 46 | LARGE_MARGIN = 64 |
| 47 | SMALL_MARGIN = 32 |
| 48 | |
| 49 | # Watermark background image paths |
| 50 | SCRIPT_DIR = Path(__file__).parent |
| 51 | BG_48_PATH = SCRIPT_DIR / "assets" / "bg_48.png" |
| 52 | BG_96_PATH = SCRIPT_DIR / "assets" / "bg_96.png" |
| 53 | |
| 54 | |
| 55 | def detect_watermark_config(width: int, height: int) -> dict[str, int]: |
| 56 | """ |
| 57 | Detect watermark configuration based on image dimensions |
| 58 | |
| 59 | Args: |
| 60 | width: Image width |
| 61 | height: Image height |
| 62 | |
| 63 | Returns: |
| 64 | Configuration dict containing logo_size, margin_right, margin_bottom |
| 65 | """ |
| 66 | if width > LARGE_IMAGE_THRESHOLD and height > LARGE_IMAGE_THRESHOLD: |
| 67 | return { |
| 68 | "logo_size": LARGE_LOGO_SIZE, |
| 69 | "margin_right": LARGE_MARGIN, |
| 70 | "margin_bottom": LARGE_MARGIN, |
| 71 | } |
| 72 | return { |
| 73 | "logo_size": SMALL_LOGO_SIZE, |
| 74 | "margin_right": SMALL_MARGIN, |
| 75 | "margin_bottom": SMALL_MARGIN, |
| 76 | } |
| 77 | |
| 78 | |
| 79 | def calculate_watermark_position(width: int, height: int, config: dict[str, int]) -> dict[str, int]: |
| 80 | """ |
| 81 | Calculate watermark position |
| 82 | |
| 83 | Args: |
| 84 | width: Image width |
| 85 | height: Image height |
| 86 | config: Watermark configuration |
| 87 | |
| 88 | Returns: |
| 89 | Position dict containing x, y, width, height |
| 90 | """ |
| 91 | logo_size = config["logo_size"] |
| 92 | return { |
| 93 | "x": width - config["margin_right"] - logo_size, |
| 94 | "y": height - config["margin_bottom"] - logo_size, |
| 95 | "width": logo_size, |
| 96 | "height": logo_size, |
| 97 | } |
| 98 | |
| 99 | |
| 100 | def calculate_alpha_map(bg_image: Image.Image) -> np.ndarray: |
| 101 | """ |
| 102 | Calculate the alpha channel map from the watermark background image |
| 103 | |
| 104 | Args: |
| 105 | bg_image: Watermark background PNG image |
| 106 | |
| 107 | Returns: |
| 108 | Alpha map array (range 0-1) |
| 109 | """ |
| 110 | bg_array = np.array(bg_image.convert("RGB"), dtype=np.float32) |
| 111 | max_channel = np.max(bg_array, axis=2) |
| 112 | return max_channel / 255.0 |
| 113 | |
| 114 | |
| 115 | def remove_watermark(image: Image.Image, alpha_map: np.ndarray, position: dict) -> Image.Image: |
| 116 | """ |
| 117 | Remove watermark using a reverse blending algorithm |
| 118 | |
| 119 | Args: |
| 120 | image: Original image |
| 121 | alpha_map: Alpha map array |
| 122 | position: Watermark position |
| 123 | |
| 124 | Returns: |
| 125 | Image with watermark removed |
| 126 | """ |
| 127 | img_array = np.array(image.convert("RGBA"), dtype=np.float32) |
| 128 | x, y, w, h = position["x"], position["y"], position["width"], position["height"] |
| 129 | |
| 130 | for row in range(h): |
| 131 | for col in range(w): |
| 132 | alpha = alpha_map[row, col] |
| 133 | if alpha < ALPHA_THRESHOLD: |
| 134 | continue |
| 135 | alpha = min(alpha, MAX_ALPHA) |
| 136 | one_minus_alpha = 1.0 - alpha |
| 137 | |
| 138 | img_y, img_x = y + row, x + col |
| 139 | for c in range(3): |
| 140 | watermarked = img_array[img_y, img_x, c] |
| 141 | original = (watermarked - alpha * LOGO_VALUE) / one_minus_alpha |
| 142 | img_array[img_y, img_x, c] = np.clip(original, 0, 255) |
| 143 | |
| 144 | return Image.fromarray(img_array.astype(np.uint8)) |
| 145 | |
| 146 | |
| 147 | def process_image(input_path: Path, output_path: Path | None = None, verbose: bool = True) -> Path: |
| 148 | """ |
| 149 | Process a single image to remove its watermark |
| 150 | |
| 151 | Args: |
| 152 | input_path: Input image path |
| 153 | output_path: Output image path (optional) |
| 154 | verbose: Whether to output detailed information |
| 155 | |
| 156 | Returns: |
| 157 | Output file path |
| 158 | """ |
| 159 | image = Image.open(input_path) |
| 160 | width, height = image.size |
| 161 | |
| 162 | config = detect_watermark_config(width, height) |
| 163 | position = calculate_watermark_position(width, height, config) |
| 164 | |
| 165 | if verbose: |
| 166 | print(f" Image size: {width} x {height}") |
| 167 | print(f" Watermark size: {config['logo_size']} x {config['logo_size']}") |
| 168 | print(f" Watermark position: ({position['x']}, {position['y']})") |
| 169 | |
| 170 | bg_path = BG_96_PATH if config["logo_size"] == 96 else BG_48_PATH |
| 171 | |
| 172 | if not bg_path.exists(): |
| 173 | print(f"Error: Watermark background image not found: {bg_path}") |
| 174 | sys.exit(1) |
| 175 | |
| 176 | bg_image = Image.open(bg_path) |
| 177 | alpha_map = calculate_alpha_map(bg_image) |
| 178 | |
| 179 | result = remove_watermark(image, alpha_map, position) |
| 180 | |
| 181 | if output_path is None: |
| 182 | stem = input_path.stem |
| 183 | suffix = input_path.suffix or ".png" |
| 184 | output_path = input_path.parent / f"{stem}_unwatermarked{suffix}" |
| 185 | |
| 186 | if output_path.suffix.lower() in (".jpg", ".jpeg"): |
| 187 | result = result.convert("RGB") |
| 188 | |
| 189 | result.save(output_path) |
| 190 | return output_path |
| 191 | |
| 192 | |
| 193 | def main() -> None: |
| 194 | """Run the CLI entry point.""" |
| 195 | parser = argparse.ArgumentParser( |
| 196 | description='PPT Master - Gemini Watermark Remover', |
| 197 | formatter_class=argparse.RawDescriptionHelpFormatter, |
| 198 | epilog=''' |
| 199 | Examples: |
| 200 | %(prog)s projects/demo/images/bg_01.png |
| 201 | %(prog)s image.jpg -o image_clean.jpg |
| 202 | |
| 203 | Notes: |
| 204 | - Automatically detects watermark size (96px for large images, 48px for small) |
| 205 | - Supports PNG, JPG, JPEG formats |
| 206 | - Output file defaults to adding an _unwatermarked suffix |
| 207 | ''' |
| 208 | ) |
| 209 | |
| 210 | parser.add_argument('input', type=Path, help='Input image path') |
| 211 | parser.add_argument('-o', '--output', type=Path, default=None, help='Output image path') |
| 212 | parser.add_argument('-q', '--quiet', action='store_true', help='Quiet mode') |
| 213 | |
| 214 | args = parser.parse_args() |
| 215 | |
| 216 | if not args.input.exists(): |
| 217 | print(f"Error: File not found: {args.input}") |
| 218 | sys.exit(1) |
| 219 | |
| 220 | verbose = not args.quiet |
| 221 | if verbose: |
| 222 | print("PPT Master - Gemini Watermark Remover") |
| 223 | print("=" * 40) |
| 224 | print(f" Input file: {args.input}") |
| 225 | |
| 226 | output = process_image(args.input, args.output, verbose=verbose) |
| 227 | |
| 228 | if verbose: |
| 229 | print() |
| 230 | print(f"[Done] Saved to: {output}") |
| 231 | |
| 232 | |
| 233 | if __name__ == "__main__": |
| 234 | main() |
| 235 |