export_to_html.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# copy tree structure\n",
    "import os\n",
    "\n",
    "try:\n",
    "    os.mkdir(os.path.join('./html'))\n",
    "except OSError:\n",
    "    pass\n",
    "try:\n",
    "    os.mkdir(os.path.join('./html/LABS'))\n",
    "except OSError:\n",
    "    pass\n",
    "\n",
    "ld = os.listdir('.')\n",
    "\n",
    "chapters = [n for n in os.listdir('.') if '00'<= n <='99']\n",
    "for c in chapters:\n",
    "    try:\n",
    "        os.mkdir(os.path.join('./html',c))\n",
    "    except OSError:\n",
    "        pass\n",
    "    \n",
    "labs = [n for n in os.listdir('./LABS/') if '00'<= n <='99']\n",
    "for c in labs:\n",
    "    try:\n",
    "        os.mkdir(os.path.join('./html/LABS',c))\n",
    "    except OSError:\n",
    "        pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./05-Morphomathematics/04-Gray level morphology.ipynb ./html/05-Morphomathematics/04-Gray level morphology.html\n",
      "./05-Morphomathematics/02-Combined operations.ipynb ./html/05-Morphomathematics/02-Combined operations.html\n",
      "./05-Morphomathematics/content.ipynb ./html/05-Morphomathematics/content.html\n",
      "./05-Morphomathematics/01-Operators.ipynb ./html/05-Morphomathematics/01-Operators.html\n",
      "./05-Morphomathematics/03-The watershed transform.ipynb ./html/05-Morphomathematics/03-The watershed transform.html\n",
      "./01-Introduction/01-Biological vision.ipynb ./html/01-Introduction/01-Biological vision.html\n",
      "./01-Introduction/Untitled.ipynb ./html/01-Introduction/Untitled.html\n",
      "./01-Introduction/content.ipynb ./html/01-Introduction/content.html\n",
      "./01-Introduction/03-Digital image.ipynb ./html/01-Introduction/03-Digital image.html\n",
      "./01-Introduction/02-Image sensors.ipynb ./html/01-Introduction/02-Image sensors.html\n",
      "./10-Object recognition/content.ipynb ./html/10-Object recognition/content.html\n",
      "./06-Object feature extraction/01-Statistical features.ipynb ./html/06-Object feature extraction/01-Statistical features.html\n",
      "./06-Object feature extraction/03-Moments.ipynb ./html/06-Object feature extraction/03-Moments.html\n",
      "./06-Object feature extraction/02-Contour features.ipynb ./html/06-Object feature extraction/02-Contour features.html\n",
      "./06-Object feature extraction/04-Texture features.ipynb ./html/06-Object feature extraction/04-Texture features.html\n",
      "./06-Object feature extraction/texture analysis example.ipynb ./html/06-Object feature extraction/texture analysis example.html\n",
      "./06-Object feature extraction/content.ipynb ./html/06-Object feature extraction/content.html\n",
      "./00-Preface/05-Practical works.ipynb ./html/00-Preface/05-Practical works.html\n",
      "./00-Preface/06-References.ipynb ./html/00-Preface/06-References.html\n",
      "./00-Preface/content.ipynb ./html/00-Preface/content.html\n",
      "./00-Preface/04-Bokeh plots.ipynb ./html/00-Preface/04-Bokeh plots.html\n",
      "./00-Preface/01-Aims.ipynb ./html/00-Preface/01-Aims.html\n",
      "./00-Preface/02-Integration.ipynb ./html/00-Preface/02-Integration.html\n",
      "./00-Preface/03-Get involved.ipynb ./html/00-Preface/03-Get involved.html\n",
      "./08-Vision/content.ipynb ./html/08-Vision/content.html\n",
      "./03-Basic image analysis/01-Image processing chain.ipynb ./html/03-Basic image analysis/01-Image processing chain.html\n",
      "./03-Basic image analysis/content.ipynb ./html/03-Basic image analysis/content.html\n",
      "./07-Model-based segmentation/content.ipynb ./html/07-Model-based segmentation/content.html\n",
      "./04-Image segmentation/01-Histogram based image segmentation.ipynb ./html/04-Image segmentation/01-Histogram based image segmentation.html\n",
      "./04-Image segmentation/04-Model-based segmentation.ipynb ./html/04-Image segmentation/04-Model-based segmentation.html\n",
      "./04-Image segmentation/02-Border-based segmentation.ipynb ./html/04-Image segmentation/02-Border-based segmentation.html\n",
      "./04-Image segmentation/05-Examples.ipynb ./html/04-Image segmentation/05-Examples.html\n",
      "./04-Image segmentation/content.ipynb ./html/04-Image segmentation/content.html\n",
      "./04-Image segmentation/03-Region based segmentation.ipynb ./html/04-Image segmentation/03-Region based segmentation.html\n",
      "./09-Object tracking/content.ipynb ./html/09-Object tracking/content.html\n",
      "./02-Low-level image processing/02-Linear filtering.ipynb ./html/02-Low-level image processing/02-Linear filtering.html\n",
      "./02-Low-level image processing/05-Edge detection.ipynb ./html/02-Low-level image processing/05-Edge detection.html\n",
      "./02-Low-level image processing/content.ipynb ./html/02-Low-level image processing/content.html\n",
      "./02-Low-level image processing/01-Point processing.ipynb ./html/02-Low-level image processing/01-Point processing.html\n",
      "./02-Low-level image processing/03-Non linear filtering.ipynb ./html/02-Low-level image processing/03-Non linear filtering.html\n",
      "./02-Low-level image processing/04-Image restoration.ipynb ./html/02-Low-level image processing/04-Image restoration.html\n",
      "./LABS/00-readme/content.ipynb ./html/LABS/00-readme/content.html\n",
      "./LABS/04-Morphological operations/content.ipynb ./html/LABS/04-Morphological operations/content.html\n",
      "./LABS/03-Color spaces/content.ipynb ./html/LABS/03-Color spaces/content.html\n",
      "./LABS/05-Object description/content.ipynb ./html/LABS/05-Object description/content.html\n",
      "./LABS/01-Image information/content.ipynb ./html/LABS/01-Image information/content.html\n",
      "./LABS/02-Convolution/content.ipynb ./html/LABS/02-Convolution/content.html\n"
     ]
    }
   ],
   "source": [
    "# export all .ipynb to html\n",
    "\n",
    "def replace_ipynb_by_html(fname):\n",
    "    s = open(fname).read()\n",
    "    r = s.replace('.ipynb','.html')\n",
    "    fid = open(fname,'wt')\n",
    "    fid.write(r)\n",
    "    fid.close()\n",
    "\n",
    "def convert(chapters,path_source='.',path_dest='./html'):\n",
    "    for c in chapters:\n",
    "        source = os.path.join(path_source,c)\n",
    "        destination = os.path.join(path_dest,c)\n",
    "        names = [os.path.splitext(fn)[0] for fn in os.listdir(source) if fn.endswith('.ipynb')]\n",
    "        for n in names:\n",
    "            nb_filename = os.path.join(source,n+'.ipynb')\n",
    "            html_filename = os.path.join(destination,n+'.html')\n",
    "            print nb_filename, html_filename\n",
    "            # convert notebook\n",
    "            s = !ipython nbconvert --to html --output  '$html_filename' '$nb_filename'\n",
    "            replace_ipynb_by_html(html_filename)\n",
    "\n",
    "convert(chapters)\n",
    "convert(labs,'./LABS','./html/LABS')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# convert indexes\n",
    "nb_filename = os.path.join('.','Index.ipynb')\n",
    "html_filename = os.path.join('./html','Index.html')\n",
    "s = !ipython nbconvert --to html --output '$html_filename' '$nb_filename'\n",
    "replace_ipynb_by_html(html_filename)\n",
    "\n",
    "nb_filename = os.path.join('.','Index-labs1-6.ipynb')\n",
    "html_filename = os.path.join('./html','Index-labs1-6.html')\n",
    "s = !ipython nbconvert --to html --output '$html_filename' '$nb_filename'\n",
    "replace_ipynb_by_html(html_filename)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
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   "file_extension": ".py",
   "mimetype": "text/x-python",
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