Merge pull request #39 from mukkss/feature/add-image-resizer-script

feat: Add script for batch image resizing

Author: devmalik7

Python/bulk_ImageResizer/README.md

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+# Image Resizer Script
+
+A command-line utility to quickly resize multiple images from a source folder and save them to a destination folder.
+
+## Features
+
+-   Batch resizes all `.jpg`, `.jpeg`, and `.png` images.
+-   Creates the output directory if it doesn't already exist.
+-   Simple and easy-to-use command-line interface.
+
+## Prerequisites
+
+-   Python 3.x
+-   Pillow library
+
+## Installation
+
+1.  **Clone the repository** (or download the script).
+
+2.  **Install the required library:**
+    ```bash
+    pip install Pillow
+    ```
+
+## Usage
+
+Run the script from your terminal with the following structure:
+
+```bash
+python resize_images.py <input_folder> <output_folder> --size <WIDTH> <HEIGHT>

Python/bulk_ImageResizer/input/sample1.webp

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+pillow

Python/bulk_ImageResizer/input/sample2.jpg

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+# resize_images.py
+
+import os
+import argparse
+from PIL import Image
+
+def resize_images(input_folder, output_folder, size):
+    """
+    Resizes all JPG, PNG, and WebP images in a folder to a specified size.
+
+    Args:
+        input_folder (str): The path to the folder containing images.
+        output_folder (str): The path to the folder to save resized images.
+        size (tuple): A tuple of (width, height) for the target resolution.
+    """
+    # Create the output directory if it doesn't exist
+    if not os.path.exists(output_folder):
+        os.makedirs(output_folder)
+        print(f"Created directory: {output_folder}")
+
+    # List all files in the input directory
+    files = os.listdir(input_folder)
+
+    for filename in files:
+        # Check for valid image extensions (case-insensitive) - NOW INCLUDES .webp
+        if filename.lower().endswith(('.png', '.jpg', '.jpeg', '.webp')):
+            try:
+                # Construct full file paths
+                input_path = os.path.join(input_folder, filename)
+                output_path = os.path.join(output_folder, filename)
+
+                # Open, resize, and save the image
+                with Image.open(input_path) as img:
+                    # Convert to RGB to avoid issues when saving formats like JPG
+                    # from formats that might have transparency (like PNG or WebP).
+                    rgb_img = img.convert('RGB')
+                    resized_img = rgb_img.resize(size)
+                    resized_img.save(output_path)
+                    print(f"Successfully resized {filename}")
+
+            except Exception as e:
+                print(f"Error processing {filename}: {e}")
+    
+    print("\nBatch resize complete! ✨")
+
+if __name__ == "__main__":
+    # Set up the argument parser
+    parser = argparse.ArgumentParser(description="Batch resize images in a folder.")
+    
+    # Required positional arguments
+    parser.add_argument("input_folder", type=str, help="Path to the input folder containing images.")
+    parser.add_argument("output_folder", type=str, help="Path to the folder to save resized images.")
+    
+    # Required optional argument for size
+    parser.add_argument("--size", type=int, nargs=2, required=True, metavar=('WIDTH', 'HEIGHT'), 
+                        help="Target size for resizing (e.g., --size 800 600).")
+
+    args = parser.parse_args()
+
+    # Convert the size list to a tuple
+    target_size = tuple(args.size)
+    
+    # Run the main function
+    resize_images(args.input_folder, args.output_folder, target_size)