pyclesperanto-demo-imjoy.py

from imjoy import api

import pyclesperanto_prototype as cle

from skimage.io import imread, imsave, imshow
import matplotlib
import numpy as np

class ImJoyPlugin():
    async def setup(self):
        await api.showMessage("initialized, using GPU: " + cle.get_device().name)

    async def run(self, ctx):
        # load data
        image = imread('https://samples.fiji.sc/blobs.png')
        await api.showMessage("Loaded image size: " + str(image.shape))
        # push image to GPU memory
        input_img = cle.push(image)
        await api.showMessage("Image size in GPU: " + str(input_img.shape))
        viewer = await api.createWindow(src="https://kaibu.org/#/app")
        await viewer.view_image(cle.pull(input_img))
        

api.export(ImJoyPlugin())

pyclesperanto-demo.imjoy.html

<docs lang="markdown">
[TODO: write documentation for this plugin.]
</docs>

<config lang="json">
{
  "name": "Pyclesperanto-demo",
  "type": "native-python",
  "version": "0.1.0",
  "description": "[TODO: describe this plugin with one sentence.]",
  "tags": [],
  "ui": "",
  "cover": "",
  "inputs": null,
  "outputs": null,
  "flags": [],
  "icon": "extension",
  "api_version": "0.1.8",
  "env": "",
  "permissions": [],
  "requirements": ["pip: numpy matplotlib scikit-image imageio pyclesperanto_prototype"],
  "dependencies": []
}
</config>

<script lang="python">
from imjoy import api

import pyclesperanto_prototype as cle

from skimage.io import imread, imsave, imshow
import matplotlib
import numpy as np

class ImJoyPlugin():
    def setup(self):
        api.alert("Used GPU: " + cle.get_device().name)
        api.log('initialized')

    def run(self, ctx):
        api.alert('hello world.')

api.export(ImJoyPlugin())
</script>