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Simulate zebrafish swim from tail angle tracking data

Project description

Zebrafish Tail Animator

Pylint PythonPackage PythonPublish PyPI version DOI

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 a mp4 file.

Animations of the larval zebrafish postures are warped using a piece wise affine transformation using the interpolated x-y coordinates.

Package installation

This package can be installed via pip

pip install fish-simulator

Alternatively, you can download and locally install the package.

cd path/to/save/package
git clone clone-latest-tag git@github.com:ThomasMullen/fish_simulator.git
cd ./fish_simulator
python -m build
# go to working project
cd path/to/work/project
# acivate venv
source my_virtual_env/bin/activate
pip install -e path/to/save/package

Requires ffmpeg

Installation instructions

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 Fish animation

drawing

drawing

Default Fish image

drawing

drawing

Example

Simple illustrative plot of posture

This displays a virtual structure of the fish posture. There are several plots you can perform, with the option of converting to a video. These functions are plot_bout_elapse, plot_skeletal_postures, and plot_skeletal_postures_with_trace. There are passed through the run function. Here is an example.

import numpy as np
from fish_simulator import run

data_arr = np.load("fish_simulator/test/fixtures/swim01.npy")
run(
    data_arr,
    plot_func=plot_skeletal_postures_with_trace,
    dir="path/to/dir/plts",
    vid_fp="path/to/video/anim.mp4",
    line_wid=1
    )
Your browser does not support the video tag.

https://github.com/ThomasMullen/fish_simulator/assets/38111949/4df1ebc9-e5da-44bd-8c51-1f556040c67e

Real larval zebrafish simulation plot

There are two plotting functions using the real larvae: plot_tail_image and plot_tail_image_with_trace.

import numpy as np
from fish_simulator import run, plot_tail_image_with_trace, plot_tail_image

run(
    data_arr,
    # plot_func=plot_tail_image,
    plot_func=plot_tail_image_with_trace,
    dir="path/to/dir/plts",
    vid_fp="path/to/video/anim.mp4",
)

Generate a video from collections of .png files

from utils import make_video

make_video(
    png_dir="path/to/png/files/",
    vid_fname="path/to/video/anim.mp4", 
    framerate=70,
    keep_pngs=True
)

https://github.com/ThomasMullen/fish_simulator/assets/38111949/854c1420-c777-4a83-951d-6f31bebe175c

Key Functions

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