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Add Binder Link#16

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a874df3
Create environment.yml
kmader Apr 2, 2019
70b4be0
Update README.md
kmader Apr 2, 2019
d638e7b
adding simple binder notebook
kmader Apr 2, 2019
9bfd2b4
Add files via upload
kmader Apr 2, 2019
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2 changes: 1 addition & 1 deletion README.md
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@@ -1,4 +1,4 @@
# dash-canvas
# dash-canvas [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/plotly/dash-canvas/master?urlpath=apps%2Fbinder%2Fcorrect_segmentation.ipynb)

dash-canvas is a package for image processing with
[Dash](https://dash.plot.ly/). It provides a Dash component for
Expand Down
165 changes: 165 additions & 0 deletions binder/correct_segmentation.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Segmentation Correction App\n",
"Here we show a simple segmentation correction app using the [dash-canvas](https://github.com/plotly/dash-canvas) tool."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"from IPython import display\n",
"import os\n",
"def show_app(app, port = 9999, \n",
" width = \"100%\", \n",
" height = \"900px\", \n",
" offline = False,\n",
" in_binder = None):\n",
" in_binder ='JUPYTERHUB_SERVICE_PREFIX' in os.environ if in_binder is None else in_binder\n",
" if in_binder:\n",
" base_prefix = '{}proxy/{}/'.format(os.environ['JUPYTERHUB_SERVICE_PREFIX'], port)\n",
" url = 'https://hub.mybinder.org{}'.format(base_prefix)\n",
" app.config.requests_pathname_prefix = base_prefix\n",
" else:\n",
" url = 'http://localhost:%d' % port\n",
" \n",
" iframe = '<a href=\"{url}\" target=\"_new\">Open in new window</a><hr><iframe src=\"{url}\" width={width} height={height}></iframe>'.format(url = url, \n",
" width = width, \n",
" height = height)\n",
" \n",
" display.display_html(iframe, raw = True)\n",
" if offline:\n",
" app.css.config.serve_locally = True\n",
" app.scripts.config.serve_locally = True\n",
" return app.run_server(debug=False, # needs to be false in Jupyter\n",
" host = '0.0.0.0',\n",
" port=port)\n"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import os, sys\n",
"sys.path.append('..')"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/srv/conda/lib/python3.6/site-packages/skimage/util/dtype.py:141: UserWarning:\n",
"\n",
"Possible precision loss when converting from float64 to uint8\n",
"\n"
]
}
],
"source": [
"import dash\n",
"import app2_correct_segmentation as cs"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<a href=\"https://hub.mybinder.org/user/kmader-dash-canvas-ivyrnudq/proxy/9999/\" target=\"_new\">Open in new window</a><hr><iframe src=\"https://hub.mybinder.org/user/kmader-dash-canvas-ivyrnudq/proxy/9999/\" width=100% height=900px></iframe>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" * Serving Flask app \"CorrectSegmentation\" (lazy loading)\n",
" * Environment: production\n",
" WARNING: Do not use the development server in a production environment.\n",
" Use a production WSGI server instead.\n",
" * Debug mode: off\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
" * Running on http://0.0.0.0:9999/ (Press CTRL+C to quit)\n",
"127.0.0.1 - - [02/Apr/2019 16:51:10] \"GET / HTTP/1.1\" 200 -\n",
"127.0.0.1 - - [02/Apr/2019 16:51:10] \"GET /_dash-dependencies HTTP/1.1\" 200 -\n",
"127.0.0.1 - - [02/Apr/2019 16:51:10] \"GET /_dash-layout HTTP/1.1\" 200 -\n",
"127.0.0.1 - - [02/Apr/2019 16:51:11] \"POST /_dash-update-component HTTP/1.1\" 200 -\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"updating\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"127.0.0.1 - - [02/Apr/2019 16:51:11] \"POST /_dash-update-component HTTP/1.1\" 200 -\n",
"127.0.0.1 - - [02/Apr/2019 16:51:12] \"POST /_dash-update-component HTTP/1.1\" 200 -\n",
"127.0.0.1 - - [02/Apr/2019 16:51:12] \"POST /_dash-update-component HTTP/1.1\" 200 -\n"
]
}
],
"source": [
"app = dash.Dash('CorrectSegmentation')\n",
"app.layout = cs.layout\n",
"cs.callbacks(app)\n",
"show_app(app)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.7"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
20 changes: 20 additions & 0 deletions binder/environment.yml
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name: dash_canvas
channels:
- plotly
- conda-forge
- defaults
dependencies:
- python=3.6
- numpy
- pandas
- matplotlib
- nbserverproxy
- appmode
- scikit-learn
- scikit-image
- notebook
- dash==0.39.0 # The core dash backend
- plotly==3.7.1 # Plotly graphing library used in examples
- dash-daq==0.1.0 # DAQ components (newly open-sourced!)
- pip:
- dash-canvas
143 changes: 143 additions & 0 deletions binder/segmentation.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Segmentation App\n",
"Here we show a simple segmentation app using the [dash-canvas](https://github.com/plotly/dash-canvas) tool."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"from IPython import display\n",
"import os\n",
"def show_app(app, port = 9999, \n",
" width = \"100%\", \n",
" height = \"900px\", \n",
" offline = False,\n",
" in_binder = None):\n",
" in_binder ='JUPYTERHUB_SERVICE_PREFIX' in os.environ if in_binder is None else in_binder\n",
" if in_binder:\n",
" base_prefix = '{}proxy/{}/'.format(os.environ['JUPYTERHUB_SERVICE_PREFIX'], port)\n",
" url = 'https://hub.mybinder.org{}'.format(base_prefix)\n",
" app.config.requests_pathname_prefix = base_prefix\n",
" else:\n",
" url = 'http://localhost:%d' % port\n",
" \n",
" iframe = '<a href=\"{url}\" target=\"_new\">Open in new window</a><hr><iframe src=\"{url}\" width={width} height={height}></iframe>'.format(url = url, \n",
" width = width, \n",
" height = height)\n",
" \n",
" display.display_html(iframe, raw = True)\n",
" if offline:\n",
" app.css.config.serve_locally = True\n",
" app.scripts.config.serve_locally = True\n",
" return app.run_server(debug=False, # needs to be false in Jupyter\n",
" host = '0.0.0.0',\n",
" port=port)\n"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import os, sys\n",
"sys.path.append('..')"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"import dash\n",
"import app1_seg as seg"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<a href=\"https://hub.mybinder.org/user/kmader-dash-canvas-ivyrnudq/proxy/9999/\" target=\"_new\">Open in new window</a><hr><iframe src=\"https://hub.mybinder.org/user/kmader-dash-canvas-ivyrnudq/proxy/9999/\" width=100% height=900px></iframe>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" * Serving Flask app \"Segmentation\" (lazy loading)\n",
" * Environment: production\n",
" WARNING: Do not use the development server in a production environment.\n",
" Use a production WSGI server instead.\n",
" * Debug mode: off\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
" * Running on http://0.0.0.0:9999/ (Press CTRL+C to quit)\n",
"127.0.0.1 - - [02/Apr/2019 16:52:36] \"GET / HTTP/1.1\" 200 -\n",
"127.0.0.1 - - [02/Apr/2019 16:52:37] \"GET /_dash-dependencies HTTP/1.1\" 200 -\n",
"127.0.0.1 - - [02/Apr/2019 16:52:39] \"GET /_dash-layout HTTP/1.1\" 200 -\n",
"127.0.0.1 - - [02/Apr/2019 16:52:39] \"POST /_dash-update-component HTTP/1.1\" 204 -\n",
"127.0.0.1 - - [02/Apr/2019 16:52:39] \"POST /_dash-update-component HTTP/1.1\" 204 -\n",
"127.0.0.1 - - [02/Apr/2019 16:52:39] \"POST /_dash-update-component HTTP/1.1\" 204 -\n",
"127.0.0.1 - - [02/Apr/2019 16:52:47] \"POST /_dash-update-component HTTP/1.1\" 200 -\n",
"127.0.0.1 - - [02/Apr/2019 16:52:59] \"POST /_dash-update-component HTTP/1.1\" 200 -\n",
"127.0.0.1 - - [02/Apr/2019 16:53:09] \"POST /_dash-update-component HTTP/1.1\" 200 -\n"
]
}
],
"source": [
"app = dash.Dash('Segmentation')\n",
"app.layout = seg.layout\n",
"seg.callbacks(app)\n",
"show_app(app)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.7"
}
},
"nbformat": 4,
"nbformat_minor": 2
}