Created on Skills Network Labs

PoC_Project.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install --upgrade \"watson-developer-cloud>=2.4.1\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# @hidden_cell\n",
    "my_apikey = 'D3qkuAmlYmbCGL0SW0YiWjbp7xGmnSpw2Vut4LeEn3Bo'\n",
    "classifier_id = 'firesmokeclassifier_1015612219'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from watson_developer_cloud import VisualRecognitionV3\n",
    "visual_recognition = VisualRecognitionV3(\n",
    "    version='2018-03-19',\n",
    "    iam_apikey=my_apikey)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import urllib.request\n",
    "from matplotlib import pyplot as plt\n",
    "from pylab import rcParams\n",
    "def plt_image(image_url, size = (5,4)):\n",
    "    image = cv2.imread(image_url)\n",
    "    if len(image.shape) == 3:\n",
    "        image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)\n",
    "    rcParams['figure.figsize'] = size[0], size[1] #set image display size\n",
    "    plt.axis(\"off\")\n",
    "    plt.imshow(image, cmap=\"Greys_r\")\n",
    "    plt.show()\n",
    "    \n",
    "import json\n",
    "from pandas.io.json import json_normalize\n",
    "def result(testfile):\n",
    "    with open(testfile, 'rb') as images_file:\n",
    "        classes = visual_recognition.classify(\n",
    "            images_file,\n",
    "            threshold='0.0',\n",
    "        classifier_ids=classifier_id).get_result()\n",
    "    json_classes = classes['images'][0]['classifiers'][0]['classes']\n",
    "    df = json_normalize(json_classes).sort_values('score', ascending=False).reset_index(drop=True)\n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "testfile = 'test_fire.jpg'\n",
    "plt_image(testfile) \n",
    "result(testfile)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "testfile = 'test_smoke.jpg'\n",
    "plt_image(testfile) \n",
    "result(testfile)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "testfile = 'test_neutral.jpg'\n",
    "plt_image(testfile) \n",
    "result(testfile)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "testfile = 'test_smokefire.jpg'\n",
    "plt_image(testfile) \n",
    "result(testfile)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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