Small library reading images and providing PIV-specific utilities.
Project description
Pivimage
pivimage is a lightweight Python library for Particle Image Velocimetry (PIV) image handling during pre-processing.
It focuses on practical operations you usually need before correlation or analysis.
What It Provides
- image loading for common formats (including
.b16) - helpers for single-frame and double-frame PIV recordings
- common image transforms (
normalize,rot90,rot180,flip*, masking) - quick plotting utilities for images and histograms
Installation
pip install pivimage
Quick Start
import pivimage
img = pivimage.PIVImage("frame_0001.tif")
img_norm = img.normalize()
img_rot = img_norm.rot90()
pair = pivimage.PIVImagePair("frame_a.tif", "frame_b.tif")
pair.plot()
Example Notebook
Development and Tests
pip install -r requirements-dev.txt
pytest
pytest --cov --cov-report=html
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
pivimage-0.7.4.tar.gz
(14.3 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
pivimage-0.7.4-py3-none-any.whl
(16.0 kB
view details)
File details
Details for the file pivimage-0.7.4.tar.gz.
File metadata
- Download URL: pivimage-0.7.4.tar.gz
- Upload date:
- Size: 14.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0bcb3473edcc6fe3e31bd0d6d183f8cce78d8f6812cf4487bd98fa685557d421
|
|
| MD5 |
246221719e13beaba191a909bbfed3dc
|
|
| BLAKE2b-256 |
120c4f291a957ee7c0a64818326a0da344dc32ed44855be0755593b05867c327
|
File details
Details for the file pivimage-0.7.4-py3-none-any.whl.
File metadata
- Download URL: pivimage-0.7.4-py3-none-any.whl
- Upload date:
- Size: 16.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
038cdf5f1e671b781b196788af3f604d01553127d3c0c8546fac810b9c9105ab
|
|
| MD5 |
ed124870f1daeb9e648fb950863ba1ec
|
|
| BLAKE2b-256 |
ce339942bcb8074e8afe9dde4da821e731c2f8e69b02dc982a3edfb378f8fa49
|
