Python Script for Automated Product Image Processing (AI Background Removal, WebP, Computer Vision)

Hello, I am looking for an experienced Python developer specializing in Computer Vision and AI (OpenCV, machine learning, etc.) to build an automated batch-processing script for product photography. Project Requirements & Features: - AI Background Removal: Accurately cut out the products and replace the original background with a pure white background. - Watermarking: Apply a provided .png watermark at a specific location/opacity. - WebP Conversion & Compression: Convert all processed images to .webp format, applying the best possible compression while maintaining an imperceptible loss of visual quality. - Quality Control (Reject System): Automatically detect unusable photos (e.g., too blurry, cut off, etc.) and move them to a separate "Rejected" folder. - Smart Renaming: Analyze the image content to recognize the type of photo, and automatically append the correct suffix to the filename (The base format is [SKU]-[suffix]). - Label Perspective Correction: When the image is a product label taken at an angle, automatically detect it and apply geometric perspective transformation (unwarping) so the label is perfectly straight, flat, and readable. Technical Constraints: - The code must be clean, well-documented, and easy to run locally on my machine. - Please specify in your proposal if your solution relies on paid third-party APIs (like Google Cloud Vision) or local open-source models (like rembg, YOLO, OpenCV). Fully local solutions without recurring API costs are highly preferred. - A clear interface upon launching the script would be preferable. Important Note: If you are highly skilled in most of these requirements but feel that one or two specific features (like the smart renaming or the label unwarping) might be outside of your expertise, please still apply! Just let me know in your proposal exactly which parts you can deliver and we can discuss the scope. Please include examples of similar past projects (batch image processing, OpenCV, AI background removal, etc.) in your cover letter. Looking forward to reading your proposals!