5.Visualization.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "import subprocess"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "modelName=\"yolo2\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "subprocess.call?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "subprocess.call(\"python net_drawer.py --input onnx/{}.onnx --output dot/{}.dot --embed_docstring\".format(modelName,modelName), shell=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "subprocess.call(\"dot -Tsvg dot/{}.dot -o svg/{}.svg\".format(modelName,modelName), shell=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# back up"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mkdir: cannot create directory ‘dot’: File exists\r\n",
      "mkdir: cannot create directory ‘svg’: File exists\r\n"
     ]
    }
   ],
   "source": [
    "! mkdir dot svg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "! python net_drawer.py --input \"onnx/squeezenet.onnx\" --output \"dot/squeezenet.dot\" --embed_docstring --marked 1 --marked_list 2_3_4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "! dot -Tsvg \"dot/squeezenet.dot\" -o \"svg/squeezenet.svg\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "! python net_drawer.py --input \"onnx/squeezenet.onnx\" --output \"dot/squeezenet.dot\" --embed_docstring "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "! dot -Tsvg \"dot/squeezenet.dot\" -o \"svg/squeezenet.svg\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "open .svg with Web"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "! python net_drawer.py --input \"onnx/vgg19.onnx\" --output \"dot/vgg19.dot\" --embed_docstring\n",
    "! dot -Tsvg \"dot/vgg19.dot\" -o \"svg/vgg19.svg\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}