Hacking with ImJoy to just get some of the concepts....

ImJoyGaussianBlurBatchHack.imjoy.html

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

<config lang="json">
{
  "name": "Batch Blur",
  "type": "window",
  "tags": [],
  "ui": "",
  "version": "0.1.0",
  "cover": "",
  "description": "[TODO: describe this plugin with one sentence.]",
  "icon": "extension",
  "inputs": null,
  "outputs": null,
  "api_version": "0.1.7",
  "env": "",
  "permissions": [],
  "requirements": ["https://unpkg.com/spectre.css/dist/spectre.min.css"],
  "dependencies": ["https://gist.githubusercontent.com/tischi/2b3e87f23694471d07bc959432115b5c/raw/ImJoyGaussianBlurHack.imjoy.html"],
  "defaults": {"w": 20, "h": 10}
}
</config>

<script lang="javascript">
class ImJoyPlugin {
  async setup() {
    const p = await api.getPlugin("Gaussian Blur")
    window.batch_process = async function(){
      const ret = await api.showFileDialog({type:"directory",title:"Please select a directory with images"})
      //api.alert("You selected: " + ret.path)
      api.showMessage("Processing...")
      const image_path = "image.png"
      const output_path = "blurred_image_tmp.png"
      const sigma = 10
      // TODO: the p.process function would have to take ret.path as an input and do the looping over all images
      const out = await p.process(image_path, output_path, sigma)
      api.alert(out.sigma) 
      api.showMessage("...done!")
    }
  }

  async run(ctx) {

  }
}

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

<window lang="html">
  <div>
    <button class="btn" onclick="batch_process()">Batch Blur</button>
  </div>
</window>

<style lang="css">

</style>

ImJoyGaussianBlurHack.imjoy.html

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

<config lang="json">
{
  "name": "Gaussian Blur",
  "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": "0.1.7",
  "env": "",
  "permissions": [],
  "requirements": ["scikit-image"],
  "dependencies": []
}
</config>

<script lang="python">
from imjoy import api
from skimage import data
from skimage.filters import gaussian
from skimage.io import imsave
from skimage.io import imread
import base64

class ImJoyPlugin():
    def setup(self):
        api.log('initialized')

    def run(self, ctx):
        api.alert('hello world.')
        image = data.camera()
        blurred_image = gaussian( image, 10 )
        imsave("blurred-image.png",blurred_image)
        imsave("image.png",image)
        self.compare("image.png", "blurred-image.png")

    def process(self, image_path, output_path, sigma=10):
        image = imread(image_path)
        blurred_image = gaussian(image, sigma)
        imsave(output_path, blurred_image)
        api.showMessage("Blurring done!")
        return {"out":output_path,"sigma":sigma}

    def display(self, image_path):
        with open(image_path, 'rb') as f:
            data = f.read()
            result = base64.b64encode(data).decode('ascii')
            imgurl = 'data:image/png;base64,' + result
            api.createWindow(type='imjoy/image', w=12, h=15, data={"src": imgurl})

    def compare(self, image_path_a, image_path_b):
        api.createWindow(type='imjoy/image-compare', w=12, h=15, 
            data={
                "first": self.encode( image_path_a ),
                "second": self.encode( image_path_b ) })

    def encode(self, image_path):
        with open(image_path, 'rb') as f:
            data = f.read()
            result = base64.b64encode(data).decode('ascii')
            imgurl = 'data:image/png;base64,' + result
        return imgurl

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

This is not production ready code.
In fact, the batching does not even work yet.
It was just for me to get into it....and see how things work conceptually.

Lovely, thanks! Would be awesome if the Hackathon gdoc would also contain the link to this gist (we will eventually transfer all the gdoc info to an imagej.net Hackathon wiki page...)

done

Great, thanks!