ORF to JPEG Converter

This Python script processes Olympus RAW (.ORF) image files by converting them to JPEG format. It scans a specified directory (or the current directory by default) for .ORF files and uses the rawpy library to process the images before saving them as .jpg files in a designated output directory (jpeg-ed).

fork from https://github.com/ayadseghairi/orf-to-jpg

Features

• Batch processing: Converts multiple .ORF files in a directory at once.
• Camera settings preservation: Uses the camera's embedded settings (white balance, brightness, etc.) for accurate color representation.
• Progress tracking: Displays a progress bar to indicate the conversion status.
• Directory handling: Automatically creates the output directory if it does not exist.
• Debugging mode: Prints additional information for troubleshooting if DEBUG = True.

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Installation

Ensure you have the required dependencies installed:

pip install rawpy imageio

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Usage

1. Run the script:

   python main.py

2. Enter the path to the folder containing .ORF files or press Enter to process files in the current directory.

3. The converted JPEG files will be saved in the jpeg-ed folder.

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Processing ORF Files with Camera Settings

By default, the script applies the camera's white balance and prevents automatic brightness adjustments to ensure accurate color representation. The key function handling this is:

def rawpy_process(path, output_dir):
    try:
        with rawpy.imread(path) as raw:
            rgb = raw.postprocess(
                use_camera_wb=True,  # Uses the camera's white balance
                no_auto_bright=True,  # Disables automatic brightness adjustment
                gamma=(1,1),  # Disables gamma correction for more accurate colors
                output_bps=8,  # Outputs 8-bit images for JPEG compatibility
                demosaic_algorithm=rawpy.DemosaicAlgorithm.AHD  # Applies high-quality demosaicing
            )
            output_filename = os.path.join(output_dir, os.path.basename(path)[:-4] + '.jpg')
            imageio.imwrite(output_filename, rgb)
    except Exception as e:
        print(f"Error processing {path}: {e}")

These settings ensure that the JPEG output retains colors and brightness as close to the original photo as possible.