py3dic 0.4.2

A package for Digital Image Correlation (DIC) analysis in Python 3.

py3dic

Author: Nikolaos Papadakis

This is a repository for the materials lab at HMU.

documentation is (will be) in the github pages for py3dic.

It contains a number of utilities for the easier (and verified) calcualation of properties from the tests that are normally carried out.

It contains:

• Tensile testing with the Imada MX2 universal testing machine
  • a quick utility based on a matplotlib window
  • a tk mvc controller window with more capabilities
• DIC processing for tensile testing.
  • batch processing
  • rolling gui (incomplete)
  • types of strain:
    • true strain
    • engineering strain (cauchy)
  • interpolation:
    • linear
    • cubic
    • spline
    • raw
  • output images
    • displacement
    • markers
    • grid
    • strain map (not complete)
• capture gui for a microscope USB camera
• Tektronix dmm 4020 Digital multimeter function
  • for logging data (simple script)
  • for logging data (tk mvc controller window)

Quickstart: Entry points

For simplicity, use the following commands (After installation) to open up the different tools:

Command line	Description
tk_dic_analysis	GUI for batch processing of DIC data
tk_merge_dic	GUI for merging data of Universal Tensile Testing and DIC
tk_dic_viewer	GUI for strain map processing of DIC data

installation

cd to the directory and execute

python setup.py install python setup.py develop

or (when loaded to pypi)

pip install py3dic

to use it import:

import py3dic as mlt

Installation procedure using Conda

creating a new environment (recommended)

This is the recommended method.

> conda create -n materialslab python=3
> conda activate materialslab 

Alternatively *if you are running low on space on a SSD * drive you can use the prefix option (IMPORTANT: read through the following StackOverflow Question: how to specify new environment location for conda create)

Install dependencies

Activate the new conda environment and install the following:

> conda activate materialslab
> conda install opencv numpy scipy
> conda install matplotlib  pandas seaborn
> conda install ipython jupyter
> conda install openpyxl

Install py3dic package.

from source

Clone the repository from online to .

Change directory into /pypkg/

cd ./pypkg

Install the package locally:

python setup.py install

from pypi (not yet implemented)

This will be simpler but not yet implemented

> pip install py3dic