Added code reflecting to ocr functioning

OCR using google vision api/google-vision-api-notebook.ipynb

@@ -0,0 +1,254 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "I86tgLoXN-fN"
+   },
+   "outputs": [],
+   "source": [
+    "import cv2\n",
+    "import imutils\n",
+    "import json\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "import os\n",
+    "import pandas as pd\n",
+    "import requests\n",
+    "import time\n",
+    "from base64 import b64encode\n",
+    "from IPython.display import Image\n",
+    "from pylab import rcParams"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "87ckNcIOiIjf"
+   },
+   "outputs": [],
+   "source": [
+    "rcParams['figure.figsize'] = 10, 20"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "j1x8BO5AORgS"
+   },
+   "outputs": [],
+   "source": [
+    "def makeImageData(imgpath):\n",
+    "    img_req = None\n",
+    "    with open(imgpath, 'rb') as f:\n",
+    "        ctxt = b64encode(f.read()).decode()\n",
+    "        img_req = {\n",
+    "            'image': {\n",
+    "                'content': ctxt\n",
+    "            },\n",
+    "            'features': [{\n",
+    "                'type': 'DOCUMENT_TEXT_DETECTION',\n",
+    "                'maxResults': 1\n",
+    "            }]\n",
+    "        }\n",
+    "    return json.dumps({\"requests\": img_req}).encode()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "5PH_sr9TN7eS"
+   },
+   "outputs": [],
+   "source": [
+    "def requestOCR(url, api_key, imgpath):\n",
+    "    imgdata = makeImageData(imgpath)\n",
+    "    response = requests.post(ENDPOINT_URL,\n",
+    "                             data = imgdata,\n",
+    "                             params = {'key': api_key},\n",
+    "                             headers = {'Content-Type': 'application/json'})\n",
+    "      return response"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "ia3SZkwhQi8t"
+   },
+   "outputs": [],
+   "source": [
+    "with open('vision_api.json') as f:\n",
+    "    data = json.load(f)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "ziTG4b1-N0oU"
+   },
+   "outputs": [],
+   "source": [
+    "ENDPOINT_URL = 'https://vision.googleapis.com/v1/images:annotate'\n",
+    "api_key = data[\"api_key\"]\n",
+    "img_loc = \"Image.jpg\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "-RlRp1bllxbh"
+   },
+   "outputs": [],
+   "source": [
+    "Image(img_loc)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "EU1SEPZWlhGt"
+   },
+   "outputs": [],
+   "source": [
+    "result = requestOCR(ENDPOINT_URL, api_key, img_loc)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "mfZ_KT68OgV7"
+   },
+   "outputs": [],
+   "source": [
+    "if result.status_code != 200 or result.json().get('error'):\n",
+    "    print (\"Error\")\n",
+    "else:\n",
+    "    result = result.json()['responses'][0]['textAnnotations']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "KlGzGqOzROk3"
+   },
+   "outputs": [],
+   "source": [
+    "result"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "o5AYbd9YfwL-"
+   },
+   "outputs": [],
+   "source": [
+    "for index in range(len(result)):\n",
+    "  print(result[index][\"description\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "iIs5LgaAfwQ6"
+   },
+   "outputs": [],
+   "source": [
+    "def gen_cord(result):\n",
+    "  cord_df = pd.DataFrame(result['boundingPoly']['vertices'])\n",
+    "  x_min, y_min = np.min(cord_df[\"x\"]), np.min(cord_df[\"y\"])\n",
+    "  x_max, y_max = np.max(cord_df[\"x\"]), np.max(cord_df[\"y\"])\n",
+    "  return result[\"description\"], x_max, x_min, y_max, y_min"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "Q4LYtrQffm77"
+   },
+   "outputs": [],
+   "source": [
+    "text, x_max, x_min, y_max, y_min = gen_cord(result[-1])\n",
+    "image = cv2.imread(img_loc)\n",
+    "cv2.rectangle(image,(x_min,y_min),(x_max,y_max),(0,255, 0),2)\n",
+    "plt.imshow(cv2.cvtColor(image, cv2.COLOR_BGR2RGB))\n",
+    "print (\"Text Detected = {}\".format(text))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "f3NoY3tCjDdZ"
+   },
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "colab": {
+   "name": "Untitled0.ipynb",
+   "provenance": []
+  },
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}