From 7c7bfc9d3d52d2f3375f98c5481fc1d09caf6b0d Mon Sep 17 00:00:00 2001
From: Kevin Mader <kmader@users.noreply.github.com>
Date: Thu, 21 Feb 2019 14:48:53 +0100
Subject: [PATCH 1/5] Create apt.txt

adding texlive
---
 binder/apt.txt | 1 +
 1 file changed, 1 insertion(+)
 create mode 100644 binder/apt.txt

diff --git a/binder/apt.txt b/binder/apt.txt
new file mode 100644
index 0000000..0d0331b
--- /dev/null
+++ b/binder/apt.txt
@@ -0,0 +1 @@
+texlive-full

From 4c0f8efcb8a479c6691babceaba6de9333cf41a6 Mon Sep 17 00:00:00 2001
From: Kevin Mader <kmader@users.noreply.github.com>
Date: Thu, 21 Feb 2019 14:49:07 +0100
Subject: [PATCH 2/5] Delete __init__.pyc

---
 pycore/__init__.pyc | Bin 106 -> 0 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 delete mode 100644 pycore/__init__.pyc

diff --git a/pycore/__init__.pyc b/pycore/__init__.pyc
deleted file mode 100644
index e9f05b6d19cfdbf93a518bcf3c516d26dac10980..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

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From 93dfb6a4ee8571f8fed86f5673d0a09cb51dcddf Mon Sep 17 00:00:00 2001
From: Kevin Mader <kmader@users.noreply.github.com>
Date: Thu, 21 Feb 2019 14:49:14 +0100
Subject: [PATCH 3/5] Delete tikzeng.pyc

---
 pycore/tikzeng.pyc | Bin 7118 -> 0 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 delete mode 100644 pycore/tikzeng.pyc

diff --git a/pycore/tikzeng.pyc b/pycore/tikzeng.pyc
deleted file mode 100644
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GIT binary patch
literal 0
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From 889e3889e0aa0c0585b0e9a65d9fc3700e53cdfd Mon Sep 17 00:00:00 2001
From: Kevin Mader <kmader@users.noreply.github.com>
Date: Thu, 21 Feb 2019 14:51:44 +0100
Subject: [PATCH 4/5] Update README.md

adding binder link
---
 README.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 9481c92..e5cd147 100644
--- a/README.md
+++ b/README.md
@@ -1,11 +1,11 @@
 # PlotNeuralNet
-[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.2526396.svg)](https://doi.org/10.5281/zenodo.2526396)
+[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.2526396.svg)](https://doi.org/10.5281/zenodo.2526396) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/HarisIqbal88/PlotNeuralNet/master)
 
 Latex code for drawing neural networks for reports and presentation. Have a look into examples to see how they are made. Additionally, lets consolidate any improvements that you make and fix any bugs to help more people with this code.
 
 ## TODO
 
-- [X] Python interfaz
+- [X] Python interface
 - [ ] Add easy legend functionality
 - [ ] Add more layer shapes like TruncatedPyramid, 2DSheet etc
 - [ ] Add examples for RNN and likes.

From 229096ec167e4207c355e0592d7aa13b83d61cca Mon Sep 17 00:00:00 2001
From: Kevin Mader <kmader@users.noreply.github.com>
Date: Thu, 21 Feb 2019 17:21:27 +0100
Subject: [PATCH 5/5] Add files via upload

adding UNet notebook
---
 pyexamples/UNetNotebook.ipynb | 118 ++++++++++++++++++++++++++++++++++
 1 file changed, 118 insertions(+)
 create mode 100644 pyexamples/UNetNotebook.ipynb

diff --git a/pyexamples/UNetNotebook.ipynb b/pyexamples/UNetNotebook.ipynb
new file mode 100644
index 0000000..25c04bd
--- /dev/null
+++ b/pyexamples/UNetNotebook.ipynb
@@ -0,0 +1,118 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import sys, os\n",
+    "PLOTNN_DIR = os.path.join('..')\n",
+    "sys.path.append(PLOTNN_DIR)\n",
+    "from pycore.tikzeng import *\n",
+    "from pycore.blocks  import *\n",
+    "from IPython.display import display_pdf, FileLink"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "arch = [ \n",
+    "    to_head(PLOTNN_DIR), \n",
+    "    to_cor(),\n",
+    "    to_begin(),\n",
+    "    \n",
+    "    #input\n",
+    "    to_input( os.path.join(PLOTNN_DIR, 'examples/fcn8s/cats.jpg') ),\n",
+    "\n",
+    "    #block-001\n",
+    "    to_ConvConvRelu( name='ccr_b1', s_filer=500, n_filer=(64,64), offset=\"(0,0,0)\", to=\"(0,0,0)\", width=(2,2), height=40, depth=40  ),\n",
+    "    to_Pool(name=\"pool_b1\", offset=\"(0,0,0)\", to=\"(ccr_b1-east)\", width=1, height=32, depth=32, opacity=0.5),\n",
+    "    \n",
+    "    *block_2ConvPool( name='b2', botton='pool_b1', top='pool_b2', s_filer=256, n_filer=128, offset=\"(1,0,0)\", size=(32,32,3.5), opacity=0.5 ),\n",
+    "    *block_2ConvPool( name='b3', botton='pool_b2', top='pool_b3', s_filer=128, n_filer=256, offset=\"(1,0,0)\", size=(25,25,4.5), opacity=0.5 ),\n",
+    "    *block_2ConvPool( name='b4', botton='pool_b3', top='pool_b4', s_filer=64,  n_filer=512, offset=\"(1,0,0)\", size=(16,16,5.5), opacity=0.5 ),\n",
+    "\n",
+    "    #Bottleneck\n",
+    "    #block-005\n",
+    "    to_ConvConvRelu( name='ccr_b5', s_filer=32, n_filer=(1024,1024), offset=\"(2,0,0)\", to=\"(pool_b4-east)\", width=(8,8), height=8, depth=8, caption=\"Bottleneck\"  ),\n",
+    "    to_connection( \"pool_b4\", \"ccr_b5\"),\n",
+    "\n",
+    "    #Decoder\n",
+    "    *block_Unconv( name=\"b6\", botton=\"ccr_b5\", top='end_b6', s_filer=64,  n_filer=512, offset=\"(2.1,0,0)\", size=(16,16,5.0), opacity=0.5 ),\n",
+    "    to_skip( of='ccr_b4', to='ccr_res_b6', pos=1.25),\n",
+    "    *block_Unconv( name=\"b7\", botton=\"end_b6\", top='end_b7', s_filer=128, n_filer=256, offset=\"(2.1,0,0)\", size=(25,25,4.5), opacity=0.5 ),\n",
+    "    to_skip( of='ccr_b3', to='ccr_res_b7', pos=1.25),    \n",
+    "    *block_Unconv( name=\"b8\", botton=\"end_b7\", top='end_b8', s_filer=256, n_filer=128, offset=\"(2.1,0,0)\", size=(32,32,3.5), opacity=0.5 ),\n",
+    "    to_skip( of='ccr_b2', to='ccr_res_b8', pos=1.25),    \n",
+    "    \n",
+    "    *block_Unconv( name=\"b9\", botton=\"end_b8\", top='end_b9', s_filer=512, n_filer=64,  offset=\"(2.1,0,0)\", size=(40,40,2.5), opacity=0.5 ),\n",
+    "    to_skip( of='ccr_b1', to='ccr_res_b9', pos=1.25),\n",
+    "    \n",
+    "    to_ConvSoftMax( name=\"soft1\", s_filer=512, offset=\"(0.75,0,0)\", to=\"(end_b9-east)\", width=1, height=40, depth=40, caption=\"SOFT\" ),\n",
+    "    to_connection( \"end_b9\", \"soft1\"),\n",
+    "     \n",
+    "    to_end() \n",
+    "    ]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "to_generate(arch, os.path.join(PLOTNN_DIR, 'u_out.tex'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!pdflatex {os.path.join(PLOTNN_DIR, 'u_out.tex')}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "FileLink('u_out.pdf')"
+   ]
+  },
+  {
+   "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
+}