oeway

numpy
pandas
scipy
matplotlib
ipywidgets>=7.0.0
imageio
scikit-image
imjoy>=0.10.0
tifffile
fsspec

oeway

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

<config lang="json">
{
  "name": "Viv-demo",
  "type": "native-python",
  "version": "0.1.0",
  "description": "[TODO: describe this plugin with one sentence.]",

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

<config lang="json">
{
  "name": "ITK-VTK-Viewer",
  "type": "native-python",
  "version": "0.1.0",
  "description": "[TODO: describe this plugin with one sentence.]",

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from imjoy import api
import imageio

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

    async def run(self, ctx):
        # run `pip install imjoy-elfinder` and start it by running `imjoy-elfinder` before the following command
        fileDialog = await api.showDialog(type="ImJoy elFinder")

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import asyncio
import numpy as np

class ImJoyPlugin():
    async def setup(self):
        bridge = Bridge()
        self._core = bridge.get_core()
        self._core.set_exposure(float(100))
        exposure = self._core.get_exposure()
        api.showMessage('MMcore loaded, exposure: ' + str(exposure))

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<docs lang="markdown">
## Porting Arbitrary Style Transfer to the Browser

https://magenta.tensorflow.org/blog/2018/12/20/style-transfer-js/

```
/**
 * Copyright 2018 Google Inc. All Rights Reserved.
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.

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import asyncio
import numpy as np
import imageio
from imjoy_rpc import api

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

    async def run(self, ctx):

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(function($) {
  $.getStylesheet = function (href) {
    var $d = $.Deferred();
    var $link = $('<link/>', {
       rel: 'stylesheet',
       type: 'text/css',
       href: href
    }).appendTo('head');
    $d.resolve($link);
    return $d.promise();