review_captions.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import json\n",
    "import os\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.image as mpimg\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "record_json = './results/clean_test.json'\n",
    "image_dir = './data/images'\n",
    "\n",
    "with open(record_json, 'r') as f:\n",
    "    data = json.load(f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def show_image(image_id):\n",
    "    image = mpimg.imread(os.path.join(image_dir, image_id))\n",
    "    plt.imshow(image)\n",
    "    plt.axis('off')\n",
    "    plt.show()\n",
    "\n",
    "def get_real_tags(item):\n",
    "    array = []\n",
    "    for each in item['Real Tags']:\n",
    "        if each in item['Pred Tags']:\n",
    "            array.append(\"\\033[4;35m{}\\033[0m\".format(each))\n",
    "        else:\n",
    "            array.append(each)\n",
    "    return ', '.join(array)\n",
    "\n",
    "def get_pred_tags(item):\n",
    "    return ', '.join(item['Pred Tags'])\n",
    "\n",
    "def get_sentence(item):\n",
    "    real_sents = []\n",
    "    pred_sents = []\n",
    "    for i in range(max(len(item['Real Sent']), len(item['Pred Sent']))):\n",
    "#         print(\"Sentence {}:\".format(i))\n",
    "        try:\n",
    "            real_sent = item['Real Sent'][str(i)]\n",
    "        except Exception as _:\n",
    "            real_sent = \"\"\n",
    "        try:\n",
    "            pred_sent = item['Pred Sent'][str(i)]\n",
    "        except Exception as _:\n",
    "            pred_sent = \"\"\n",
    "        \n",
    "#         print(\"Real: {}\".format(real_sent))\n",
    "#         print(\"Pred: {}\".format(pred_sent))\n",
    "#         print(\"\")\n",
    "        real_sents.append(real_sent)\n",
    "        pred_sents.append(pred_sent)\n",
    "    print(\"Real Sents:{}\".format(\". \".join(real_sents)))\n",
    "    print(\"Pred Sents:{}\".format('. '.join(pred_sents)))\n",
    "\n",
    "def get_tags_peformance(data):\n",
    "    num_ground_truth = 0\n",
    "    num_pred_all = 0\n",
    "    num_pred_truth = 0\n",
    "    for each in data:\n",
    "        num_ground_truth += len(data[each]['Real Tags'])\n",
    "        num_pred_all += len(data[each]['Pred Tags'])\n",
    "        for tag in data[each]['Pred Tags']:\n",
    "            if tag in data[each]['Real Tags']:\n",
    "                num_pred_truth += 1\n",
    "    return num_pred_truth / num_ground_truth * 1.0, num_pred_truth / num_pred_all * 1.0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Image id:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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      "CXR649_IM-2227-2001.png\n",
      "CXR3022_IM-1397-2001.png\n",
      "CXR2299_IM-0878-1001.png\n",
      "CXR2243_IM-0840-1001.png\n",
      "CXR3869_IM-1962-2001.png\n",
      "CXR3014_IM-1392-1001.png\n",
      "CXR520_IM-2131-1001.png\n",
      "CXR591_IM-2186-2001.png\n",
      "CXR3617_IM-1789-2001.png\n",
      "CXR1474_IM-0307-2001.png\n",
      "CXR2954_IM-1352-2001.png\n",
      "CXR3431_IM-1660-2001.png\n",
      "CXR2388_IM-0944-1001.png\n",
      "CXR401_IM-2051-2001.png\n",
      "CXR1187_IM-0126-1001.png\n",
      "CXR1859_IM-0557-12001.png\n",
      "CXR2139_IM-0760-1001.png\n",
      "CXR988_IM-2474-1001.png\n",
      "CXR451_IM-2082-2001.png\n",
      "CXR995_IM-2478-1002.png\n",
      "CXR78_IM-2322-3001.png\n",
      "CXR2299_IM-0878-2001.png\n",
      "CXR3383_IM-1630-1001.png\n",
      "CXR274_IM-1194-1001.png\n",
      "CXR1373_IM-0240-1001.png\n",
      "CXR973_IM-2462-2001.png\n",
      "CXR177_IM-0503-1001.png\n",
      "CXR2573_IM-1074-1001.png\n",
      "CXR291_IM-1313-2001.png\n",
      "CXR2195_IM-0805-2001.png\n",
      "CXR3479_IM-1690-2001.png\n",
      "CXR1264_IM-0179-1001.png\n",
      "CXR121_IM-0142-1001.png\n",
      "CXR3214_IM-1519-2001.png\n",
      "CXR2112_IM-0742-1001.png\n",
      "CXR1396_IM-0252-2001.png\n",
      "CXR3170_IM-1494-1002.png\n",
      "CXR1523_IM-0339-1001.png\n",
      "CXR2959_IM-1354-1001.png\n",
      "CXR2503_IM-1028-1001.png\n",
      "CXR3521_IM-1719-4001.png\n",
      "CXR128_IM-0186-82592002.png\n",
      "CXR908_IM-2413-3001.png\n",
      "CXR2527_IM-1043-2001.png\n",
      "CXR2374_IM-0935-84550002.png\n",
      "CXR988_IM-2474-2001.png\n",
      "CXR3627_IM-1795-2001.png\n",
      "CXR1308_IM-0201-1001.png\n",
      "CXR1675_IM-0445-1001.png\n",
      "CXR2476_IM-1005-2001.png\n",
      "CXR2139_IM-0760-2001.png\n",
      "CXR3517_IM-1716-2001.png\n",
      "CXR3797_IM-1910-0001-0003.png\n",
      "CXR2673_IM-1149-2001.png\n",
      "CXR316_IM-1487-1001.png\n",
      "CXR908_IM-2413-1001.png\n",
      "CXR3797_IM-1910-0001-0002.png\n",
      "CXR3390_IM-1636-2001.png\n",
      "CXR3279_IM-1560-1001.png\n",
      "CXR56_IM-2160-2002.png\n",
      "CXR679_IM-2251-1001.png\n",
      "CXR754_IM-2306-1001.png\n",
      "CXR2112_IM-0742-1002.png\n",
      "CXR788_IM-2328-1001.png\n",
      "CXR1876_IM-0567-2001.png\n",
      "CXR2857_IM-1264-1001.png\n",
      "CXR3286_IM-1567-1001.png\n",
      "CXR1436_IM-0280-1001.png\n",
      "CXR1920_IM-0598-1001.png\n",
      "CXR712_IM-2274-0001-0001.png\n",
      "CXR1373_IM-0240-2001.png\n",
      "CXR1673_IM-0444-2001.png\n",
      "CXR2817_IM-1241-1001.png\n",
      "CXR1389_IM-0247-3001.png\n",
      "CXR3324_IM-1590-3001.png\n",
      "CXR458_IM-2089-3001.png\n",
      "CXR298_IM-1369-2001.png\n",
      "CXR2817_IM-1241-3001.png\n",
      "CXR2071_IM-0705-2001.png\n",
      "CXR1031_IM-0025-4004.png\n",
      "CXR2154_IM-0774-2001.png\n",
      "CXR1404_IM-0258-1001.png\n",
      "CXR128_IM-0186-82592001.png\n",
      "CXR124_IM-0161-4004.png\n",
      "CXR1801_IM-0520-2001.png\n",
      "CXR5_IM-2117-1004003.png\n",
      "CXR2784_IM-1220-2001.png\n",
      "CXR2673_IM-1149-1001.png\n",
      "CXR3873_IM-1965-1001.png\n",
      "CXR3841_IM-1942-1001.png\n",
      "CXR338_IM-1628-1001.png\n",
      "CXR2243_IM-0840-3001.png\n",
      "CXR1523_IM-0339-3001.png\n",
      "CXR1396_IM-0252-1001.png\n",
      "CXR2572_IM-1073-1001.png\n",
      "CXR428_IM-2070-1001.png\n",
      "CXR1568_IM-0371-1001.png\n",
      "CXR995_IM-2478-1001.png\n",
      "CXR3431_IM-1660-1001.png\n",
      "CXR754_IM-2306-2001.png\n",
      "CXR3275_IM-1556-1002001.png\n",
      "CXR1983_IM-0640-2002.png\n",
      "CXR2008_IM-0658-2001.png\n",
      "CXR3685_IM-1836-1002.png\n",
      "CXR3324_IM-1590-1001.png\n",
      "CXR2374_IM-0935-84550001.png\n",
      "CXR32_IM-1511-1001.png\n",
      "CXR630_IM-2211-2001.png\n",
      "CXR909_IM-2414-1001.png\n",
      "CXR2755_IM-1204-2001.png\n",
      "CXR1652_IM-0428-1001.png\n",
      "CXR3614_IM-1787-4001.png\n",
      "CXR1211_IM-0142-1002.png\n",
      "CXR3763_IM-1883-2001.png\n",
      "CXR1758_IM-0495-2001.png\n",
      "CXR1903_IM-0586-1001.png\n",
      "CXR712_IM-2274-0001-0002.png\n",
      "CXR568_IM-2168-1001.png\n",
      "CXR3523_IM-1721-1002.png\n",
      "CXR517_IM-2130-3003.png\n",
      "CXR697_IM-2262-2002.png\n",
      "CXR3624_IM-1794-2001.png\n",
      "CXR1801_IM-0520-1001.png\n",
      "CXR485_IM-2109-2001.png\n",
      "CXR3235_IM-1532-2001.png\n",
      "CXR428_IM-2070-1002.png\n",
      "CXR1389_IM-0247-2001.png\n",
      "CXR3001_IM-1387-3001.png\n",
      "CXR274_IM-1194-2001.png\n",
      "CXR3307_IM-1582-1005004.png\n",
      "CXR479_IM-2102-2001.png\n",
      "CXR3568_IM-1753-2001.png\n",
      "CXR523_IM-2134-2001.png\n",
      "CXR2015_IM-0664-2001.png\n",
      "CXR338_IM-1628-2001.png\n",
      "CXR1722_IM-0476-1001.png\n",
      "CXR3660_IM-1820-1001.png\n",
      "CXR3931_IM-2003-3001.png\n",
      "CXR3972_IM-2032-2001.png\n",
      "CXR3043_IM-1417-2001.png\n",
      "CXR2830_IM-1248-1001.png\n",
      "CXR486_IM-2110-1001.png\n",
      "CXR537_IM-2143-1001.png\n",
      "CXR1758_IM-0495-1001.png\n",
      "CXR2243_IM-0840-2001.png\n",
      "CXR138_IM-0244-2001.png\n",
      "CXR2762_IM-1208-1001.png\n",
      "CXR2727_IM-1187-1001.png\n",
      "CXR8_IM-2333-1001.png\n",
      "CXR1630_IM-0411-1001.png\n",
      "CXR1689_IM-0451-2001.png\n",
      "CXR591_IM-2186-1001.png\n",
      "CXR195_IM-0618-1001.png\n",
      "CXR1903_IM-0586-2001.png\n",
      "CXR2719_IM-1182-1001.png\n",
      "CXR2727_IM-1187-1002.png\n",
      "CXR2794_IM-1226-1001.png\n",
      "CXR1095_IM-0066-1001.png\n",
      "CXR2260_IM-0852-1001.png\n",
      "CXR1892_IM-0580-2001.png\n",
      "CXR3286_IM-1567-2001.png\n",
      "CXR3084_IM-1443-2001.png\n",
      "CXR788_IM-2328-2001.png\n",
      "CXR3166_IM-1491-2001.png\n",
      "CXR557_IM-2157-1001.png\n",
      "CXR517_IM-2130-2002.png\n",
      "CXR1892_IM-0580-1001.png\n",
      "CXR722_IM-2282-2001.png\n",
      "CXR2197_IM-0807-1001.png\n",
      "CXR2495_IM-1021-2001.png\n",
      "CXR3235_IM-1532-1001.png\n",
      "CXR1199_IM-0133-1001.png\n",
      "CXR1383_IM-0245-1002.png\n",
      "CXR3691_IM-1842-1001.png\n",
      "CXR794_IM-2331-2001.png\n",
      "CXR78_IM-2322-1001.png\n",
      "CXR410_IM-2056-1003.png\n",
      "CXR1169_IM-0113-0001-0002.png\n",
      "CXR2817_IM-1241-2001.png\n",
      "CXR1404_IM-0258-2001.png\n",
      "CXR3521_IM-1719-2001.png\n",
      "CXR3501_IM-1706-1001.png\n",
      "CXR2015_IM-0664-1001.png\n",
      "CXR405_IM-2053-2001.png\n",
      "CXR887_IM-2400-2001.png\n",
      "CXR3155_IM-1486-1001.png\n",
      "CXR809_IM-2342-2001.png\n",
      "CXR3625_IM-1794-2001.png\n",
      "CXR485_IM-2109-1001.png\n",
      "CXR713_IM-2275-1001.png\n",
      "CXR1292_IM-0191-1001.png\n",
      "CXR1230_IM-0154-1001.png\n",
      "CXR2588_IM-1083-2001.png\n",
      "CXR1264_IM-0179-2001.png\n",
      "CXR533_IM-2140-1001.png\n",
      "CXR2226_IM-0830-13001.png\n",
      "CXR3275_IM-1556-1004003.png\n",
      "CXR8_IM-2333-2001.png\n",
      "CXR3886_IM-1971-2001.png\n",
      "CXR1167_IM-0112-2001.png\n",
      "CXR1246_IM-0167-1001.png\n"
     ]
    }
   ],
   "source": [
    "images_id = []\n",
    "for each in data:\n",
    "    print(each)\n",
    "    images_id.append(each)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Recall:0.3567779960707269\n",
      "Precision:0.1663003663003663\n"
     ]
    }
   ],
   "source": [
    "recall, precision = get_tags_peformance(data)\n",
    "print(\"Recall:{}\".format(recall))\n",
    "print(\"Precision:{}\".format(precision))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Preview"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def show_info(id):\n",
    "    image_id = images_id[id]\n",
    "    item = data[image_id]\n",
    "    print(\"Image:{}\".format(image_id))\n",
    "    # show_image(image_id)\n",
    "\n",
    "    print(\"Real Tags: {}\".format(get_real_tags(item)))\n",
    "    print(\"Pred Tags: {}\".format(get_pred_tags(item)))\n",
    "    print(\"\")\n",
    "    get_sentence(item)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Image:CXR1696_IM-0457-1001.png\n",
      "Real Tags: normal\n",
      "Pred Tags: cardiomegaly, lung, mild, aorta, tortuous, surgical instruments, aorta, thoracic, left, degenerative, opacity\n",
      "\n",
      "Real Sents:no acute cardiopulmonary disease. the heart is normal in size and contour. the lungs are clear without evidence of infiltrate. there is no pneumothorax or <unk>. . . . . . . \n",
      "Pred Sents:no acute cardiopulmonary disease. the heart pulmonary xxxx and mediastinum are within normal limits. the lungs are clear. there is no focal air space opacity to suggest a pneumonia. there is no evidence of pleural effusion or <unk>. . . . . . \n"
     ]
    }
   ],
   "source": [
    "show_info(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Image:CXR3614_IM-1787-2001.png\n",
      "Real Tags: pulmonary congestion, \u001b[4;35mleft\u001b[0m, \u001b[4;35mmild\u001b[0m, small, pleural effusion, pulmonary atelectasis, \u001b[4;35mbilateral\u001b[0m, cardiomegaly, \u001b[4;35mbase\u001b[0m\n",
      "Pred Tags: bilateral, opacity, lung, left, diaphragm, degenerative, mild, right, elevated, base\n",
      "\n",
      "Real Sents:ap and lateral views were obtained. bibasilar atelectasis and small left-sided pleural effusion. stable cardiomegaly. no pneumothorax. mild pulmonary vascular <unk>. . . . . . \n",
      "Pred Sents:cardiomegaly with elevated right hemidiaphragms and no acute findings. no acute radiographic cardiopulmonary process. there is a moderate sized right pleural effusion. there are areas of airspace opacity within the left lung base which may represent atelectasis or infiltrate. there is no pneumothorax. there is a large hydropneumothorax within the left chest. . . . . \n"
     ]
    }
   ],
   "source": [
    "show_info(40)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Image:CXR391_IM-1986-1002.png\n",
      "Real Tags: \u001b[4;35mhypoinflation\u001b[0m, \u001b[4;35mlung\u001b[0m\n",
      "Pred Tags: normal, mild, degenerative, lung, tortuous, thoracic vertebrae, spine, hypoinflation, opacity, density\n",
      "\n",
      "Real Sents:no acute cardiopulmonary findings. low lung volumes. heart size normal. no focal airspace consolidations. no pneumothorax or <unk>. . . . . . \n",
      "Pred Sents:no acute cardiopulmonary findings. the heart is normal in size. the mediastinum is unremarkable. no pneumothorax or pleural effusion. no acute osseous <unk>. . . . . . \n"
     ]
    }
   ],
   "source": [
    "show_info(60)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Image:CXR1601_IM-0390-1001.png\n",
      "Real Tags: \u001b[4;35mnormal\u001b[0m\n",
      "Pred Tags: surgical instruments, bilateral, normal, lung, mild, right, opacity, hypoinflation, lymph nodes, thoracic vertebrae\n",
      "\n",
      "Real Sents:no acute pulmonary abnormality. the lungs and pleural spaces show no acute abnormality. heart size and pulmonary vascularity within normal <unk>. . . . . . . . \n",
      "Pred Sents:no acute cardiopulmonary disease. the heart pulmonary xxxx and mediastinum are within normal limits. the heart is normal in size. the lungs are free of focal airspace disease. no pleural effusion or pneumothorax is seen. no pleural effusion. . . . . \n"
     ]
    }
   ],
   "source": [
    "show_info(80)"
   ]
  }
 ],
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