A package for fluid mechanic experimentalists
Project description
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
.
Computer Vision
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 = read_image_folder(folder_path, file_extension='.tif', start=0, end=None, step=1, read_color=False)
animate_images(images, wait_time=10, wait_key=False, BGR=True, close=True)
Dimensional Analysis
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
splashlab-0.0.33.tar.gz
(16.3 kB
view hashes)
Built Distribution
splashlab-0.0.33-py3-none-any.whl
(18.9 kB
view hashes)
Close
Hashes for splashlab-0.0.33-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2387209681bba2b86fb7269f2122353aa4030df09ac6bb5b883912d7f3a6c340 |
|
MD5 | 5fb497deb2a6dc2b2d5641c971065c0c |
|
BLAKE2b-256 | c9595f6f88ac7f5af1d85bf886168a854453ed93072d15b93abd7a02458c89ae |