I have a Python script that should perform image transformation—specifically color correction and adjustment focused on brightness and contrast—but it only handles 2 out of 15 images correctly. I’m sharing the current script, a Word document with descriptions and reference images, and an Excel sheet with three live reference URLs that show the exact look I want. Here’s what I need: • Review and debug the existing code. • Implement reliable brightness and contrast adjustment so every image in the batch matches the references. • Make sure the routine processes an entire folder in one run, with a simple CLI interface (input folder, output folder, overwrite flag). • Keep the solution in standard Python, using Pillow or OpenCV as needed, and clearly comment any new lines you add. • Test on my sample set and confirm that all 15 images are processed accurately. Deliverables 1. Updated .py file ready to run. 2. A concise README listing dependencies and usage. 3. A short change log summarizing the fixes. When I run `python transform.py --in ./raw --out ./processed`, I should see 15 perfectly corrected images that align with the Word and URL references.