phycv 1.1.0

physics-inspired computer vision algorithms

PhyCV - The First Physics-inspired Computer Vision Library

Welcome to PhyCV ! The First Physics-inspired Computer Vision Python library developed by Jalali-Lab @ UCLA.

Release Notes

• Version 1.1.0

  The load_img method now supports loading images from both an image files and image arrays.

• Version 1.0.0

  The first release of PhyCV is available!

Introduction

PhyCV is a Physics-inspired Computer Vision Python library. PhyCV has a new class of computer vision algorithms that emulates the propagation of light through a physical medium with natural and engineered diffractive properties followed by coherent detection. Unlike traditional algorithms that are a sequence of hand-crafted empirical rules, physics-inspired algorithms leverage physical laws of nature as blueprints. These algorithms can, in principle, be implemented in real physical devices for fast and efficient computation. Currently, PhyCV includes Phase-Stretch Transform (PST) and Phase-Stretch Adaptive Gradient-field Extractor (PAGE). Each algorthm has CPU and GPU versions. For full documentation, please refer to the GitHub Page.