Welcome to pysdic’s documentation!#

Description of the package#

Python Stereo Digital Image Correlation Toolbox.

Note

The package is designed to work with double-precision floating-point numbers to ensure numerical stability in all calculations. Therefore, all float arrays are automatically converted to numpy.float64 for computation and all integer arrays are converted to numpy.int64 for computation. This means that when you pass arrays to the functions in the package, they will be converted to these data types if they are not already in that format.

This package cames with an other package called pycvcam to define the camera models.

Contents#

Installation

This section describes how to install the package into a Python environment. It includes instructions for installing the package using pip, as well as any necessary dependencies.

To the installation guide

API Reference

The reference guide contains a detailed description of the functions, modules, and objects included in pysdic. The reference describes how the methods work and which parameters can be used. It assumes that you have an understanding of the key concepts.

To the API reference

Examples Gallery

This section contains a collection of examples demonstrating how to use the package for various applications. Each example includes a description of the problem being solved, the code used to solve it, and the resulting output.

To the examples gallery

Author#

The package pysdic was created by the following authors:

You can access the package and the documentation with the following URL:

License#

Please refer to the [LICENSE] file for the license of the package.