oeway

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

<config lang="json">
{
  "name": "ImportHPAImagesJS",
  "type": "web-worker",
  "version": "0.1.0",
  "description": "[TODO: describe this plugin with one sentence.]",

oeway

<docs lang="markdown">

## Browser File System

A virtual nodejs-style file system in the browser

More information: https://github.com/jvilk/BrowserFS

</docs>

oeway

if(window && window.location && window.location.protocol === 'file:'){
    const preview = window.open("https://deploy-preview-268--imjoy.netlify.com/#/preview");
    window.addEventListener("message", function(ev) {
        if (ev.data.type === "imjoy-app-ready") {
            preview.postMessage({ type: "load-imjoy-plugin", code: document.body.innerHTML }, "*");
        }
    });
}

oeway

<docs>
# SCIFIO.js transpiled with Java2Script

Source code: https://github.com/BobHanson/scifio-SwingJS
Distribution: https://github.com/oeway/static/tree/master/j2s


This library was made during the Dresden Hackathon in Dec. 2019.

People who participant into this project: Bob Hanson, Curtis Rueden, Wei Ouyang and Florian Jug

oeway

<docs lang="markdown">
This plugin allows to perform image processing with a pretrained MobileNet image classifier built with Tensorflow.js.

This plugin is ported from: [mobilenet example for Tensorflow.js](https://github.com/tensorflow/tfjs-models/tree/master/mobilenet).
</docs>

<config lang="json">
{
  "name": "Image Recognition(Webworker)",
  "type": "web-worker",

oeway

<docs>
[TODO: write documentation for this plugin.]
</docs>

<config lang="json">
{
  "name": "Zarr-Demo",
  "type": "iframe",
  "tags": [],
  "ui": "",

oeway

<docs lang="markdown">

This plugin allows to visualize results of a classification of protein 
localization patterns from microscope images of the entire HPA cell atlas(v18, 63955 images).  

Classification is performed with the winning approach of a 2018 Kaggle challenge 
(https://www.kaggle.com/c/human-protein-atlas-image-classification). 

Plots shows a UMAP projection (Uniform Manifold Approximation and Projection) calculated from the
last layer of the network (densenet121, dimensions: 1024). Each dot is an image and when clicking on a 

oeway

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

<config lang="json">
{
  "name": "CompareImages",
  "type": "window",
  "tags": [],
  "ui": "",

oeway

<docs lang="markdown">
## Tiktorch Model Loader for BioImage.io

This is a BioEngine App for running models on https://bioimage.io

</docs>

<config lang="json">
{
    "name": "Tiktorch Model Loader",

oeway

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

<config lang="json">
{
  "name": "MyFirstPlugin",
  "type": "window",
  "tags": [],
  "ui": "",