splashlab 0.1.3

A package for fluid mechanic experimentalists

SplashLab

Python packages intended to assist with experimental research in the field of fluid dynamics. The tools are divided into two categories: computer vision and dimensional analysis. The entire package can be installed with:

pip install splashlab

There are two main modules: computer vision and dimensional analysis. As their names suggest computer vision contacts classes and functions to assist with computer vision tasks; it is mostly built on top of OpenCV. Dimensional analysis has function and classes intended to assist with tasks such as keeping track of units during calculations and finding nondimensional groups.

Computer Vision

Reading and Displaying Images

The computer vision module contains several functions and classes that assist mainly with processing image and video data. The first example shows how to use read_image_folder to convert all images in a directory to a single numpy array and display the images with animate_images:

import splashlab.computer_vision as vision

images = vision.read_image_folder(folder_path, file_extension='.tif', start=0, end=None, step=1, read_color=False)
vision.animate_images(images, wait_time=10, wait_key=False, BGR=True, close=True)

Dimensional Analysis

Dimensional analysis, as the name suggests, helps with dimensional analysis, like applying Buckingham Pi Theorem.