Overview
OpenVision is a fully open-source image processing library developed in Python. It allows users to perform common image manipulation tasks such as:
Edge Detection (Sobel, Prewitt, Canny)
Custom Image Filters (Grayscale, Sepia, Inversion, Blur, Sharpen)
Image Resizing & Cropping
Histogram Equalization for Contrast Enhancement
Basic Optical Character Recognition (OCR) without external APIs
Batch Image Processing for Automation
OpenVision is designed to be lightweight, educational, and fully transparent, providing an alternative to large-scale libraries like OpenCV by implementing core algorithms from scratch.
Tech Stack
Programming Language: Python
Libraries Used: NumPy (for array processing), OpenCV (optional for efficiency), Matplotlib (for visualization)
Optional Web UI: Flask (for real-time browser-based image processing)
Why OpenVision? (Unique Selling Proposition - USP)
Lightweight & Minimal Dependencies – Unlike OpenCV, OpenVision focuses only on essential image processing features.
Pure Python Implementation – Great for learning, modifying, and extending.
No External APIs – Fully offline and privacy-focused.
Pythonic & Easy-to-Use API – Designed for quick adoption.
Bulk Image Processing Capabilities – Automate tasks without writing complex scripts.
Educational Focus – Ideal for students and researchers learning about computer vision.
Example Code Usage
from openvision import ImageProcessor
# Load an image
img = ImageProcessor("sample.jpg")
# Apply grayscale and edge detection
img.apply_filter("grayscale").detect_edges("canny").save("output.jpg") Potential Use Cases
Researchers & Students – Learn how image processing works without relying on black-box solutions.
Developers – Use OpenVision in automation scripts and batch image processing.
Photographers & Designers – Easily apply custom filters and bulk edits to images.
AI/ML Engineers – Preprocess images for deep learning models.
Roadmap & Future Plans
Implement more image transformation techniques (e.g., face detection, color segmentation).
Develop a simple web-based UI using Flask.
Add CLI support for batch image processing without coding.
