Win7 OBS/FFmpeg 90FPS comparison

report-input-latency-win7-obs-ffmpeg.ipynb

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  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import glob\n",
      "import json \n",
      "import pandas as pd\n",
      "import numpy as np\n",
      "import matplotlib.pyplot as plt\n",
      "\n",
      "from os import environ\n",
      "from IPython.display import display, HTML\n",
      "\n",
      "key_index = ['avg_time',\n",
      "             'max_time', \n",
      "             'med_time',\n",
      "             'min_time',\n",
      "             'std_dev']\n",
      "\n",
      "#\n",
      "# Read report filename from environment varilable 'file' \n",
      "#\n",
      "try:\n",
      "    filename = environ['file']\n",
      "except:\n",
      "    filename = 'result.json'\n",
      "with open(filename) as data_file:\n",
      "    data = json.load(data_file)\n",
      "    d = pd.DataFrame(data)  \n",
      "\n",
      "# drop empty 'time_list'\n",
      "for c in d:\n",
      "    if (d[c]['time_list'] == []) :\n",
      "        d.drop(c, axis=1, inplace=True)\n",
      "    \n",
      "# Select columns and rows\n",
      "d.loc[key_index, :]"
     ],
     "language": "python",
     "metadata": {
      "deletable": true,
      "editable": true
     },
     "outputs": [
      {
       "html": [
        "<div>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>test_chrome_gdoc_ail_type_10p_txt_win7_ffmpeg_90fps</th>\n",
        "      <th>test_chrome_gdoc_ail_type_10p_txt_win7_obs_90fps</th>\n",
        "      <th>test_firefox_gdoc_ail_type_10p_txt_win7_ffmpeg_90fps</th>\n",
        "      <th>test_firefox_gdoc_ail_type_10p_txt_win7_obs_90fps</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>avg_time</th>\n",
        "      <td>55.8777</td>\n",
        "      <td>50</td>\n",
        "      <td>131.665</td>\n",
        "      <td>115.556</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>max_time</th>\n",
        "      <td>80.4598</td>\n",
        "      <td>66.6667</td>\n",
        "      <td>147.727</td>\n",
        "      <td>122.222</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>med_time</th>\n",
        "      <td>56.8182</td>\n",
        "      <td>44.4444</td>\n",
        "      <td>129.916</td>\n",
        "      <td>111.111</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>min_time</th>\n",
        "      <td>45.4545</td>\n",
        "      <td>44.4444</td>\n",
        "      <td>125</td>\n",
        "      <td>111.111</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>std_dev</th>\n",
        "      <td>9.56177</td>\n",
        "      <td>7.45356</td>\n",
        "      <td>7.45899</td>\n",
        "      <td>5.44331</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 1,
       "text": [
        "         test_chrome_gdoc_ail_type_10p_txt_win7_ffmpeg_90fps  \\\n",
        "avg_time                                            55.8777    \n",
        "max_time                                            80.4598    \n",
        "med_time                                            56.8182    \n",
        "min_time                                            45.4545    \n",
        "std_dev                                             9.56177    \n",
        "\n",
        "         test_chrome_gdoc_ail_type_10p_txt_win7_obs_90fps  \\\n",
        "avg_time                                               50   \n",
        "max_time                                          66.6667   \n",
        "med_time                                          44.4444   \n",
        "min_time                                          44.4444   \n",
        "std_dev                                           7.45356   \n",
        "\n",
        "         test_firefox_gdoc_ail_type_10p_txt_win7_ffmpeg_90fps  \\\n",
        "avg_time                                            131.665     \n",
        "max_time                                            147.727     \n",
        "med_time                                            129.916     \n",
        "min_time                                                125     \n",
        "std_dev                                             7.45899     \n",
        "\n",
        "         test_firefox_gdoc_ail_type_10p_txt_win7_obs_90fps  \n",
        "avg_time                                           115.556  \n",
        "max_time                                           122.222  \n",
        "med_time                                           111.111  \n",
        "min_time                                           111.111  \n",
        "std_dev                                            5.44331  "
       ]
      }
     ],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Retrive 'run_time' from each run\n",
      "runtime = pd.DataFrame([pd.DataFrame(d[c]['time_list'])['run_time'] for c in d]).T\n",
      "runtime.columns = d.columns\n",
      "runtime"
     ],
     "language": "python",
     "metadata": {
      "deletable": true,
      "editable": true
     },
     "outputs": [
      {
       "html": [
        "<div>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>test_chrome_gdoc_ail_type_10p_txt_win7_ffmpeg_90fps</th>\n",
        "      <th>test_chrome_gdoc_ail_type_10p_txt_win7_obs_90fps</th>\n",
        "      <th>test_firefox_gdoc_ail_type_10p_txt_win7_ffmpeg_90fps</th>\n",
        "      <th>test_firefox_gdoc_ail_type_10p_txt_win7_obs_90fps</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>45.454545</td>\n",
        "      <td>44.444444</td>\n",
        "      <td>125.000000</td>\n",
        "      <td>111.111111</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>45.977011</td>\n",
        "      <td>44.444444</td>\n",
        "      <td>125.000000</td>\n",
        "      <td>111.111111</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>45.977011</td>\n",
        "      <td>44.444444</td>\n",
        "      <td>125.000000</td>\n",
        "      <td>111.111111</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>56.818182</td>\n",
        "      <td>44.444444</td>\n",
        "      <td>125.000000</td>\n",
        "      <td>111.111111</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>56.818182</td>\n",
        "      <td>44.444444</td>\n",
        "      <td>125.000000</td>\n",
        "      <td>111.111111</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
        "      <td>56.818182</td>\n",
        "      <td>44.444444</td>\n",
        "      <td>134.831461</td>\n",
        "      <td>111.111111</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6</th>\n",
        "      <td>56.818182</td>\n",
        "      <td>55.555556</td>\n",
        "      <td>136.363636</td>\n",
        "      <td>122.222222</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7</th>\n",
        "      <td>56.818182</td>\n",
        "      <td>55.555556</td>\n",
        "      <td>136.363636</td>\n",
        "      <td>122.222222</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>8</th>\n",
        "      <td>56.818182</td>\n",
        "      <td>55.555556</td>\n",
        "      <td>136.363636</td>\n",
        "      <td>122.222222</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9</th>\n",
        "      <td>80.459770</td>\n",
        "      <td>66.666667</td>\n",
        "      <td>147.727273</td>\n",
        "      <td>122.222222</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 2,
       "text": [
        "   test_chrome_gdoc_ail_type_10p_txt_win7_ffmpeg_90fps  \\\n",
        "0                                          45.454545     \n",
        "1                                          45.977011     \n",
        "2                                          45.977011     \n",
        "3                                          56.818182     \n",
        "4                                          56.818182     \n",
        "5                                          56.818182     \n",
        "6                                          56.818182     \n",
        "7                                          56.818182     \n",
        "8                                          56.818182     \n",
        "9                                          80.459770     \n",
        "\n",
        "   test_chrome_gdoc_ail_type_10p_txt_win7_obs_90fps  \\\n",
        "0                                         44.444444   \n",
        "1                                         44.444444   \n",
        "2                                         44.444444   \n",
        "3                                         44.444444   \n",
        "4                                         44.444444   \n",
        "5                                         44.444444   \n",
        "6                                         55.555556   \n",
        "7                                         55.555556   \n",
        "8                                         55.555556   \n",
        "9                                         66.666667   \n",
        "\n",
        "   test_firefox_gdoc_ail_type_10p_txt_win7_ffmpeg_90fps  \\\n",
        "0                                         125.000000      \n",
        "1                                         125.000000      \n",
        "2                                         125.000000      \n",
        "3                                         125.000000      \n",
        "4                                         125.000000      \n",
        "5                                         134.831461      \n",
        "6                                         136.363636      \n",
        "7                                         136.363636      \n",
        "8                                         136.363636      \n",
        "9                                         147.727273      \n",
        "\n",
        "   test_firefox_gdoc_ail_type_10p_txt_win7_obs_90fps  \n",
        "0                                         111.111111  \n",
        "1                                         111.111111  \n",
        "2                                         111.111111  \n",
        "3                                         111.111111  \n",
        "4                                         111.111111  \n",
        "5                                         111.111111  \n",
        "6                                         122.222222  \n",
        "7                                         122.222222  \n",
        "8                                         122.222222  \n",
        "9                                         122.222222  "
       ]
      }
     ],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Report percentile\n",
      "runtime.quantile([0.01, 0.95, 0.99], interpolation='nearest')"
     ],
     "language": "python",
     "metadata": {
      "deletable": true,
      "editable": true
     },
     "outputs": [
      {
       "html": [
        "<div>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>test_chrome_gdoc_ail_type_10p_txt_win7_ffmpeg_90fps</th>\n",
        "      <th>test_chrome_gdoc_ail_type_10p_txt_win7_obs_90fps</th>\n",
        "      <th>test_firefox_gdoc_ail_type_10p_txt_win7_ffmpeg_90fps</th>\n",
        "      <th>test_firefox_gdoc_ail_type_10p_txt_win7_obs_90fps</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0.01</th>\n",
        "      <td>45.454545</td>\n",
        "      <td>44.444444</td>\n",
        "      <td>125.000000</td>\n",
        "      <td>111.111111</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0.95</th>\n",
        "      <td>80.459770</td>\n",
        "      <td>66.666667</td>\n",
        "      <td>147.727273</td>\n",
        "      <td>122.222222</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0.99</th>\n",
        "      <td>80.459770</td>\n",
        "      <td>66.666667</td>\n",
        "      <td>147.727273</td>\n",
        "      <td>122.222222</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 3,
       "text": [
        "      test_chrome_gdoc_ail_type_10p_txt_win7_ffmpeg_90fps  \\\n",
        "0.01                                          45.454545     \n",
        "0.95                                          80.459770     \n",
        "0.99                                          80.459770     \n",
        "\n",
        "      test_chrome_gdoc_ail_type_10p_txt_win7_obs_90fps  \\\n",
        "0.01                                         44.444444   \n",
        "0.95                                         66.666667   \n",
        "0.99                                         66.666667   \n",
        "\n",
        "      test_firefox_gdoc_ail_type_10p_txt_win7_ffmpeg_90fps  \\\n",
        "0.01                                         125.000000      \n",
        "0.95                                         147.727273      \n",
        "0.99                                         147.727273      \n",
        "\n",
        "      test_firefox_gdoc_ail_type_10p_txt_win7_obs_90fps  \n",
        "0.01                                         111.111111  \n",
        "0.95                                         122.222222  \n",
        "0.99                                         122.222222  "
       ]
      }
     ],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Report summary\n",
      "runtime.describe()"
     ],
     "language": "python",
     "metadata": {
      "deletable": true,
      "editable": true
     },
     "outputs": [
      {
       "html": [
        "<div>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>test_chrome_gdoc_ail_type_10p_txt_win7_ffmpeg_90fps</th>\n",
        "      <th>test_chrome_gdoc_ail_type_10p_txt_win7_obs_90fps</th>\n",
        "      <th>test_firefox_gdoc_ail_type_10p_txt_win7_ffmpeg_90fps</th>\n",
        "      <th>test_firefox_gdoc_ail_type_10p_txt_win7_obs_90fps</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>count</th>\n",
        "      <td>10.000000</td>\n",
        "      <td>10.000000</td>\n",
        "      <td>10.000000</td>\n",
        "      <td>10.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mean</th>\n",
        "      <td>55.877743</td>\n",
        "      <td>50.000000</td>\n",
        "      <td>131.664964</td>\n",
        "      <td>115.555556</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>std</th>\n",
        "      <td>10.078991</td>\n",
        "      <td>7.856742</td>\n",
        "      <td>7.862469</td>\n",
        "      <td>5.737753</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>min</th>\n",
        "      <td>45.454545</td>\n",
        "      <td>44.444444</td>\n",
        "      <td>125.000000</td>\n",
        "      <td>111.111111</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>25%</th>\n",
        "      <td>48.687304</td>\n",
        "      <td>44.444444</td>\n",
        "      <td>125.000000</td>\n",
        "      <td>111.111111</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>50%</th>\n",
        "      <td>56.818182</td>\n",
        "      <td>44.444444</td>\n",
        "      <td>129.915730</td>\n",
        "      <td>111.111111</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>75%</th>\n",
        "      <td>56.818182</td>\n",
        "      <td>55.555556</td>\n",
        "      <td>136.363636</td>\n",
        "      <td>122.222222</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>max</th>\n",
        "      <td>80.459770</td>\n",
        "      <td>66.666667</td>\n",
        "      <td>147.727273</td>\n",
        "      <td>122.222222</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 4,
       "text": [
        "       test_chrome_gdoc_ail_type_10p_txt_win7_ffmpeg_90fps  \\\n",
        "count                                          10.000000     \n",
        "mean                                           55.877743     \n",
        "std                                            10.078991     \n",
        "min                                            45.454545     \n",
        "25%                                            48.687304     \n",
        "50%                                            56.818182     \n",
        "75%                                            56.818182     \n",
        "max                                            80.459770     \n",
        "\n",
        "       test_chrome_gdoc_ail_type_10p_txt_win7_obs_90fps  \\\n",
        "count                                         10.000000   \n",
        "mean                                          50.000000   \n",
        "std                                            7.856742   \n",
        "min                                           44.444444   \n",
        "25%                                           44.444444   \n",
        "50%                                           44.444444   \n",
        "75%                                           55.555556   \n",
        "max                                           66.666667   \n",
        "\n",
        "       test_firefox_gdoc_ail_type_10p_txt_win7_ffmpeg_90fps  \\\n",
        "count                                          10.000000      \n",
        "mean                                          131.664964      \n",
        "std                                             7.862469      \n",
        "min                                           125.000000      \n",
        "25%                                           125.000000      \n",
        "50%                                           129.915730      \n",
        "75%                                           136.363636      \n",
        "max                                           147.727273      \n",
        "\n",
        "       test_firefox_gdoc_ail_type_10p_txt_win7_obs_90fps  \n",
        "count                                          10.000000  \n",
        "mean                                          115.555556  \n",
        "std                                             5.737753  \n",
        "min                                           111.111111  \n",
        "25%                                           111.111111  \n",
        "50%                                           111.111111  \n",
        "75%                                           122.222222  \n",
        "max                                           122.222222  "
       ]
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Plot input latency histogram\n",
      "runtime.plot.hist(bins=20, \n",
      "                  histtype='bar', \n",
      "                  color=['green','orange', 'red', 'blue'], \n",
      "                  subplots=True, layout=(len(runtime.columns)/2,2), \n",
      "                  figsize=(20,10),\n",
      "                  ylim=(0, max(runtime.count())))\n",
      "runtime.plot.box(subplots=True,\n",
      "                 layout=(len(runtime.columns)/2,2),\n",
      "                 sharey=True, sharex=True, figsize=(20, 10))\n",
      "plt.show()\n",
      "plt.show()"
     ],
     "language": "python",
     "metadata": {
      "deletable": true,
      "editable": true,
      "scrolled": false
     },
     "outputs": [
      {
       "output_type": "display_data",
       "png": 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Zdd68efXEE0+sa9eu3WQNixYtqqWU2tPTM/D1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\n",
       "text": [
        "<matplotlib.figure.Figure at 0x10863b390>"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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       "text": [
        "<matplotlib.figure.Figure at 0x10862a050>"
       ]
      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [],
     "language": "python",
     "metadata": {
      "deletable": true,
      "editable": true
     },
     "outputs": [],
     "prompt_number": 6
    }
   ],
   "metadata": {}
  }
 ]
}

result.json

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