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Volume 4D Visualization

Project description

vAPE - Interactive 4D volume visualization

PyPI Docs

👉 Click to run the web app 👈

Viewer screenshot

Burgers Kuramoto–Sivashinsky Gray-Scott
Burgers Kuramoto–Sivashinsky Gray Scott

Installation

with pip

pip install vape4d

Usage

Viewer (jupyter notebook)

from vape4d import viewer
import numpy as np
from matplotlib import pyplot as plt

viewer(
    #[T,C,D,W,H]
    np.random.rand(1,1,32,32,32),
    plt.get_cmap("viridis"),   
)

Render Image

import numpy as np
from vape4d import diverging_alpha, render
import matplotlib.pyplot as plt

colormap = diverging_alpha(plt.get_cmap("magma"))
img = render(
        # [T,D,H,W]
        np.random.rand(2,32,32,32).astype(np.float32),
        colormap,
        0.5, # timestep
        width=1024,
        height=1024,
    )

plt.imshow(img)
plt.axis("off")

plt.savefig("test.png", bbox_inches="tight", pad_inches=0)
plt.show()

Project details


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vape4d-0.2.6-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (8.0 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ ARM64

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