Fabric Vision: Open Source Computer Vision Module
Introducing fabric-vision, our open-source computer vision module that powers visual search, object detection, and image analysis across industries.
Overview
Fabric Vision is part of our open-source Fabric ecosystem, providing production-ready computer vision capabilities for retail, maritime, and other industries. Built with modern ML frameworks and optimized for real-world deployment.
Key Features
Visual Search
Image-based product search and similarity matching for e-commerce applications.
Object Detection
Real-time detection and classification of objects in images and video streams.
Image Analysis
Advanced image processing, feature extraction, and content analysis.
AR Integration
Augmented reality capabilities for virtual try-ons and product visualization.
Technical Stack
- Framework: PyTorch, OpenCV, FastAPI
- Models: YOLO, ResNet, Vision Transformers
- Deployment: Docker, Kubernetes, GPU optimization
- APIs: REST endpoints, WebSocket streaming
Use Cases
Retail Visual Search
Enable customers to search products by uploading photos, improving discovery and conversion rates.
Maritime Safety
Detect obstacles, monitor cargo, and enhance navigation safety through computer vision.
Quality Control
Automated inspection and defect detection in manufacturing and logistics.
Results
Implementation Impact: Companies using fabric-vision report 40% improvement in visual search accuracy and 60% reduction in manual inspection time.