findpeaks’s documentation!
findpeaks is a comprehensive Python library for robust detection and analysis of peaks and valleys in both 1D vectors and 2D arrays (images). The library provides multiple detection algorithms including topology-based persistent homology (most robust), mask-based local maximum filtering, and traditional peakdetect approaches.
- Key Features:
Multiple Detection Methods: Topology (persistent homology)
1D and 2D Support: Works with time series, signals, images, and spatial data
Advanced Preprocessing: Denoising, scaling, interpolation, and image preprocessing
Rich Visualization: Persistence diagrams, 3D mesh plots, preprocessing steps, and masking plots
Mathematical Stability: Topology method provides mathematically grounded peak detection
Hough Transform Applications: Enhanced robustness for computer vision applications
The library includes comprehensive preprocessing capabilities (denoising, normalizing, resizing) and advanced visualization tools (3D mesh plots, persistence diagrams, preprocessing pipelines) to help users understand and analyze their data effectively.
Support
Yes! This library is entirely free but it runs on coffee. Your ❤️ is important to keep maintaining this package. You can support in various ways, have a look at the sponsor page.
Installation
pip install findpeaks
Content
Background
Installation
Algorithms
Pre-processing
Plots
Examples
Documentation