face-rec-FINAL.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import face_recognition\n",
    "import cv2\n",
    "import numpy as np\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "video_capture = cv2.VideoCapture(0)\n",
    "\n",
    "image_path = \"./Faces/\"\n",
    "known_face_encodings = []\n",
    "known_face_names = []\n",
    "\n",
    "for img in os.listdir(image_path):\n",
    "    \n",
    "    known_face_names.append(img.split(\".\")[0])\n",
    "    \n",
    "    image = face_recognition.load_image_file(image_path + img)\n",
    "    face_encoding = face_recognition.face_encodings(image)[0]\n",
    "    known_face_encodings.append(face_encoding)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "face_locations = []\n",
    "face_encodings = []\n",
    "face_names = []\n",
    "process_this_frame = True\n",
    "\n",
    "while True:\n",
    "    ret, frame = video_capture.read()\n",
    "    small_frame = cv2.resize(frame, (0, 0), fx=0.25, fy=0.25)\n",
    "    rgb_small_frame = small_frame[:, :, ::-1]\n",
    "    if process_this_frame:\n",
    "        face_locations = face_recognition.face_locations(rgb_small_frame)\n",
    "        face_encodings = face_recognition.face_encodings(rgb_small_frame, face_locations)\n",
    "\n",
    "        face_names = []\n",
    "        for face_encoding in face_encodings:\n",
    "            matches = face_recognition.compare_faces(known_face_encodings, face_encoding)\n",
    "            name = \"Unknown\"\n",
    "            face_distances = face_recognition.face_distance(known_face_encodings, face_encoding)\n",
    "            best_match_index = np.argmin(face_distances)\n",
    "            if matches[best_match_index]:\n",
    "                name = known_face_names[best_match_index]\n",
    "\n",
    "            face_names.append(name)\n",
    "\n",
    "    process_this_frame = not process_this_frame\n",
    "\n",
    "    for (top, right, bottom, left), name in zip(face_locations, face_names):\n",
    "        top *= 4\n",
    "        right *= 4\n",
    "        bottom *= 4\n",
    "        left *= 4\n",
    "        \n",
    "        #draws a square on the face\n",
    "        cv2.rectangle(frame, (left, top), (right, bottom), (255, 0, 100), 1)\n",
    "        \n",
    "        #text for name\n",
    "        font = cv2.FONT_HERSHEY_PLAIN\n",
    "        cv2.putText(frame, name, (left, bottom + 20), font, 1.5, (0, 0, 0), 2)\n",
    "        \n",
    "    cv2.imshow('Video', frame)\n",
    "    \n",
    "    if cv2.waitKey(1) & 0xFF == ord('q'):\n",
    "        break\n",
    "        \n",
    "video_capture.release()\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Obama', 'Dawn', 'Lou', 'Ethan', 'Kenni', 'Joe Biden', 'Stacey', 'Sandro', 'Trump']\n",
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      "       -0.11947265, -0.00472218, -0.18730862, -0.03597316,  0.09990945,\n",
      "        0.02502972, -0.01011071, -0.01776166,  0.28791583, -0.01659501,\n",
      "       -0.21005768, -0.02737911,  0.10357756,  0.22910525,  0.20687447,\n",
      "        0.07357589,  0.03025055,  0.00647205,  0.10788815, -0.27197167,\n",
      "        0.06605531,  0.1630805 ,  0.11318892,  0.10983701,  0.12560651,\n",
      "       -0.16930559, -0.03277025,  0.2018978 , -0.07584772,  0.1136492 ,\n",
      "        0.0221537 , -0.13475838, -0.00106825, -0.00576193,  0.32339233,\n",
      "        0.08738003, -0.12838718, -0.17576741,  0.21079794, -0.15561359,\n",
      "        0.00881336,  0.06537821, -0.13378589, -0.10507941, -0.2143797 ,\n",
      "       -0.03416685,  0.45252094,  0.14773205, -0.19409779,  0.02373352,\n",
      "       -0.12188084, -0.04035477,  0.00209377,  0.11578155, -0.02836942,\n",
      "       -0.020702  , -0.03568112,  0.02552398,  0.21958919, -0.02026075,\n",
      "        0.03967594,  0.19455326,  0.00072389, -0.01104244,  0.01252814,\n",
      "       -0.00469833, -0.1438143 , -0.1002925 , -0.08298511, -0.00117358,\n",
      "       -0.0710519 , -0.00970683,  0.01432402,  0.10704823, -0.19095832,\n",
      "        0.08742345, -0.10277925, -0.0494424 , -0.05999349,  0.1000458 ,\n",
      "       -0.05427293, -0.07310865,  0.13086873, -0.31310079,  0.20413685,\n",
      "        0.19558126, -0.07022052,  0.12417796, -0.03553379,  0.08359142,\n",
      "        0.04447013,  0.05694507, -0.12701641, -0.13373673,  0.04620143,\n",
      "       -0.09275196,  0.05192317,  0.01421312]), array([-0.06347574,  0.13613148, -0.00305597, -0.13088864, -0.03256952,\n",
      "       -0.01598179, -0.03845126,  0.03905921,  0.15363359, -0.06502869,\n",
      "        0.15388453,  0.01292095, -0.2444714 ,  0.01254285, -0.02501201,\n",
      "        0.09763588, -0.19325878, -0.10938171, -0.12386304, -0.08750207,\n",
      "        0.01874907,  0.04763546, -0.040511  ,  0.07968394, -0.0863139 ,\n",
      "       -0.28703362, -0.11432887, -0.08420713,  0.03519541, -0.1236426 ,\n",
      "        0.10288712,  0.03479783, -0.15846774, -0.04159342,  0.00447749,\n",
      "        0.01034278, -0.08116687, -0.07825098,  0.23023346,  0.04487777,\n",
      "       -0.10253291,  0.09350324,  0.06804018,  0.40220883,  0.18822089,\n",
      "        0.04435499,  0.01848898, -0.04264383,  0.15284085, -0.27619132,\n",
      "        0.15007088,  0.16483586,  0.10625927,  0.06980286,  0.10497938,\n",
      "       -0.10406743,  0.05872764,  0.10038093, -0.20812336,  0.09201784,\n",
      "        0.07485124, -0.024382  , -0.08836632, -0.07069262,  0.14377424,\n",
      "        0.06709071, -0.11152861, -0.15946144,  0.14705998, -0.14427747,\n",
      "       -0.03557812,  0.10370055, -0.11180021, -0.13921803, -0.20996092,\n",
      "        0.09645092,  0.40441877,  0.16750608, -0.10260964,  0.09988725,\n",
      "       -0.08846127, -0.0806926 ,  0.04573917,  0.00089401, -0.12496064,\n",
      "       -0.08052423, -0.08041498,  0.13650484,  0.20952122,  0.01378515,\n",
      "       -0.09337664,  0.17240016,  0.0614697 , -0.06694572,  0.03114094,\n",
      "        0.0116096 , -0.0963729 , -0.03865562, -0.18280777, -0.02993193,\n",
      "        0.09351015, -0.08001885, -0.08990091,  0.06213906, -0.1881091 ,\n",
      "        0.20664771,  0.07412663, -0.04225066, -0.00600116,  0.05667719,\n",
      "       -0.22738992,  0.00664593,  0.19639432, -0.2344908 ,  0.17550035,\n",
      "        0.11111496,  0.08298395,  0.07887658,  0.11229011,  0.03572527,\n",
      "        0.00722235, -0.06712069, -0.17404616, -0.12208435,  0.09383504,\n",
      "        0.08267531,  0.11066996,  0.02636535]), array([-1.06388651e-01,  1.27845436e-01,  2.15183664e-02, -1.21061606e-02,\n",
      "       -4.62903976e-02, -1.69931352e-02,  7.79978186e-02, -1.52932495e-01,\n",
      "        1.23252518e-01, -1.03179656e-01,  1.77800491e-01, -3.48609537e-02,\n",
      "       -3.08327258e-01, -5.40604256e-02,  5.56806475e-03,  1.81482688e-01,\n",
      "       -1.28844768e-01, -1.56083241e-01, -2.08049074e-01, -1.05228081e-01,\n",
      "        6.64566979e-02,  4.66368124e-02, -8.16608220e-02, -2.69756224e-02,\n",
      "       -7.88188130e-02, -2.26194948e-01, -7.52490014e-02, -3.67512181e-02,\n",
      "        5.51192183e-03, -4.88149934e-02,  5.93469515e-02,  4.40139771e-02,\n",
      "       -2.04748616e-01, -8.35650563e-02, -2.01717857e-03,  3.61383297e-02,\n",
      "       -8.91823620e-02, -7.62050301e-02,  1.29342169e-01,  2.77093872e-02,\n",
      "       -1.39483079e-01,  1.35055874e-02,  4.84561622e-02,  2.24186361e-01,\n",
      "        1.65604025e-01, -1.09868823e-04,  3.34376842e-02, -1.63877755e-01,\n",
      "        8.15373883e-02, -2.49922663e-01, -2.38345414e-02,  1.24197096e-01,\n",
      "        1.06353045e-01,  2.01477811e-01,  4.17872593e-02, -1.33168653e-01,\n",
      "        5.81181012e-02,  1.02278426e-01, -1.61904454e-01,  5.87215461e-02,\n",
      "        4.68523502e-02, -1.98416054e-01, -3.71805057e-02, -5.35494871e-02,\n",
      "        9.37755629e-02,  4.88690510e-02, -1.33832190e-02, -1.29439279e-01,\n",
      "        2.27376893e-01, -1.58285275e-01, -1.66769370e-01,  6.50560111e-03,\n",
      "       -4.72939126e-02, -1.47720799e-01, -3.40294391e-01, -3.44824418e-03,\n",
      "        3.31563860e-01,  1.45293817e-01, -2.08699182e-01, -5.58209699e-03,\n",
      "       -6.20653071e-02, -3.16929491e-03,  9.95207354e-02,  6.32613748e-02,\n",
      "       -6.45645335e-03, -9.74340737e-02, -9.99617651e-02,  1.68642700e-02,\n",
      "        2.79557496e-01, -9.62024331e-02, -1.95354000e-02,  2.09067792e-01,\n",
      "        5.86953312e-02, -5.12849316e-02,  4.33401950e-02,  5.70419729e-02,\n",
      "       -5.92851453e-02, -2.17650123e-02, -1.13244951e-01, -6.18008822e-02,\n",
      "        3.61682847e-02, -1.05620816e-01, -2.21951529e-02,  8.25832933e-02,\n",
      "       -1.40188590e-01,  2.10983261e-01,  3.09852436e-02, -1.60000063e-02,\n",
      "       -5.03160208e-02, -6.80897012e-02, -3.10909450e-02,  4.06563096e-02,\n",
      "        1.49226353e-01, -1.39878199e-01,  2.57819384e-01,  2.35692099e-01,\n",
      "       -6.52347207e-02,  1.22572809e-01,  2.03398541e-02,  1.17496662e-01,\n",
      "       -6.57496974e-02, -6.55900612e-02, -1.75108373e-01, -1.59758210e-01,\n",
      "        5.67435250e-02,  9.07064676e-02, -2.12389044e-02,  5.37943058e-02])]\n"
     ]
    }
   ],
   "source": [
    "print(known_face_names)\n",
    "print(known_face_encodings)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.16"
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