Simulate zebrafish swim from tail angle tracking data
Project description
Zebrafish Tail Animator
Python toolbox to transform zebrafish tracking data to tail animations
Description
zf_animator
is a Python package used to create visualisation of how swimming data looks from high-speed tracking data.
The typical data used should be the tail angle along segments of the tail.
The package will convert these tail angles to x- y- coordinates, and interpolate many more points along the range of tracked tail segments.
These sets of coordinates will then transform slices of the zebrafish image, producing a stack of .png files that can be rendered into an mp4 file.
Installation
To convert the .png
files to an .mp4
animation requires ffmpeg
to be installed on the running computer.
This can be install in Ubuntu in the terminal:
sudo apt install ffmpeg
Or with OS X can be installed:
brew install ffmpeg
Check it is installed by running which ffmpeg
in the terminal. More details can be found here.
Dependencies
Default zebrafish image
Ref the source of the image
Example
Key Functions
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
Built Distribution
File details
Details for the file fish_simulator_test-0.0.2.tar.gz
.
File metadata
- Download URL: fish_simulator_test-0.0.2.tar.gz
- Upload date:
- Size: 9.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 46ef9800a3064aa7068ab5ea9e0f68e3b02ae53454a54bd2df94e397bc09cd19 |
|
MD5 | b191b5f6852d342f41224a7ed11384f0 |
|
BLAKE2b-256 | 970729d47f7a9b8f8d893e9c5f2cb4afd91d85308c25e25a06f6fbf576a70990 |
File details
Details for the file fish_simulator_test-0.0.2-py3-none-any.whl
.
File metadata
- Download URL: fish_simulator_test-0.0.2-py3-none-any.whl
- Upload date:
- Size: 9.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 87fd0d30509d5ca98aff68552edf1f31ab78541d8ced4443a0bfa7820f98cfa6 |
|
MD5 | bd0175b145a03f4d03197e22a75c6b9e |
|
BLAKE2b-256 | 0f77aeb120fb81fdbe9502eb4e79b668ccc5fb0a5f5a3986099c1855d6408ea5 |