Batch Image Processor with Background Blur (BBB)

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This Python script batch processes images by resizing them to a target resolution and applying a blurred background effect. It supports various image formats and allows for optional format conversion. The output images are saved in a specified destination folder.

Features

• Resizes images to a given resolution while maintaining the aspect ratio.
• Applies a blurred background effect to fill the empty space around the resized image.
• Supports multiple common image formats.
• Optionally converts images to a specified format.
• Logs progress and errors using Python's logging module.

Supported Formats

• .bmp, .dib (Windows bitmaps)
• .jpeg, .jpg, .jpe (JPEG)
• .jp2 (JPEG 2000)
• .png (Portable Network Graphics)
• .webp (WebP)
• .tiff, .tif (TIFF)
• .hdr, .pic (Radiance HDR)

Requirements

• Python 3.7+
• OpenCV (cv2)
• Numpy

You can install the required dependencies using pip:

pip install -r requirements.txt

Usage

The script takes the source folder, destination folder, and several optional parameters such as the output format and resolution.

Basic Usage

python script.py <src_folder> <dst_folder>

• <src_folder>: The source folder containing the images to process.
• <dst_folder>: The destination folder to save the processed images.

Optional Arguments

• --format: Convert images to a specific format (e.g., .jpg, .png).
• --resolution: Output resolution in the format width height (default is 1920 1080).

Example

Resize all images in the input_images folder to 1280x720 and save them as .jpg files in the output_images folder:

python script.py input_images output_images --format .jpg --resolution 1280 720

Contributing

Feel free to open an issue or submit a pull request if you encounter any problems or have suggestions for improvements.

License

This project is licensed under the MIT License. See the LICENSE file for more details.