PyPoint is a lightweight Python library designed for efficiently labeling specific points in images using mouse input. It provides a simple yet powerful interface for image annotation tasks, particularly useful for computer vision projects, data collection, and machine learning applications that require precise point labeling.
Key Features
- Simple Point Labeling: Easily mark and record specific points in images using mouse clicks
- Image Navigation: View and navigate through multiple images in a dataset
- Customizable Interface: Adjust visualization parameters to suit different annotation needs
- Export Functionality: Save labeled points in standard formats for further processing
- Batch Processing: Process multiple images in sequence
- Minimal Dependencies: Lightweight implementation with few external dependencies
- Cross-platform: Works across different operating systems
Technical Implementation
The library is built with:
- Python: Core language for the library
- OpenCV: For image loading, display, and manipulation
- NumPy: For efficient data handling and storage of coordinates
Use Cases
- Computer Vision Datasets: Create labeled datasets for training machine learning models
- Medical Imaging: Mark specific anatomical points or regions of interest
- Facial Recognition: Label facial landmarks for recognition algorithms
- Motion Tracking: Create reference points for tracking algorithms
- Research Applications: Precisely annotate scientific images for analysis
PyPoint addresses the need for a streamlined, focused tool for point-based image annotation, eliminating the complexity of larger annotation suites while providing the essential functionality needed for point labeling tasks.