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"\n\nHere’s another Python script that downscales images using the Pillow library (PIL). This script will:\n1. Read an image file\n2. Resize it to a specified percentage or dimensions\n3. Save the resized image\n\n### Script: \n```python\nfrom PIL import Image\nimport sys\n\ndef downscale_image(input_path, output_dir, quality=75):\n \"\"\"Downscale an image using PIL\"\"\"\n # Load the image\n try:\n img = Image.open(input_path)\n except FileNotFoundError:\n print(f\"Error: Input file {input_path} not found\")\n return\n \n # Set resizing parameters\n if quality == \"auto\":\n # Reduce quality until the file size is small enough\n max_size = (200, 150) # Target size in pixels\n img = img.resize(max_size, Image.LANCZOS)\n else:\n # Resize to a specific percentage of original size\n img = img.resize(\n (int(img.width * quality), \n int(img.height * quality)),\n Image.BILINEAR\n )\n \n # Save the resized image\n output_path = os.path.join(output_dir, input_path.split('/')[-1])\n img.save(output_path, format='PNG')\n\ndef main():\n script_name = __file__\n input_dir = sys.argv[1]\n output_dir = sys.argv[2]\n \n print(f\"\\nResizing images from {input_dir} to {output_dir}\")\n print(\"Enter 'auto' for automatic quality resizing or a number (0-100) for percentage\")\n print(\"Enter 'preserve_color' to maintain color balance in PNG files\")\n print(\"For best results, use monochromatic images or low-resolution formats like JPG\\n\")\n \n # Get user input\n try:\n quality = int(sys.argv[3]) if len(sys.argv) > 3 else 75\n mode = sys.argv[4] if len(sys.argv) > 4 else 'bilinear'\n if mode.lower() == 'preserve_color':\n img = Image.open(input_path).convert('PNG')\n img.save(output_dir + '/' + input_path.split('/')[-1], format='PNG', quality=quality)\n return\n except ValueError:\n print(\"Invalid argument provided for quality\")\n sys.exit(1)\n\n # Call the main function\n downscale_image(input_path, output_dir, quality)\n\nif __name__ == \"__main__\":\n main()\n```\n\n### How to Use This Script:\n1. Save this script with a `.py` extension.\n2. Open a terminal window and navigate to the directory containing your image files.\n3. Run the script using a command like:\n ```bash\n python downscaled_images.py input_dir output_dir\n ```\n \n4. Replace `input_dir` with the path to your image directory and `output_dir` with the path where you want the resized images to be saved.\n\n### Key Features:\n- Uses **Pillow** for image processing\n- Supports both **bilinear** and **LANCzos** interpolation methods\n- Allows resizing by percentage or dimensions\n- Automatically saves as PNG format (lossless compression)\n- Includes basic error handling\n\nThis script is a good balance between simplicity and functionality, making it suitable for general-purpose image downsampling tasks."
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