Facial_processing.ipynb

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   "source": [
    "import tensorflow as tf \n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "#loads model\n",
    "model = tf.keras.models.load_model('mask_detection_model_v7')\n"
   ]
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   "execution_count": 2,
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   "source": [
    "import cv2 as cv\n",
    "\n",
    "# this enables facial detection for OpenCV\n",
    "face_detection = cv.CascadeClassifier('haarcascade_frontalface_default.xml')\n",
    "\n",
    "# open the default camera\n",
    "camera = cv.VideoCapture(0)\n",
    "if not camera.isOpened():\n",
    "    print(\"Cannot open camera\")\n",
    "    exit()\n",
    "\n",
    "# 0 is mask, 1 is no mask\n",
    "labels_dict={0:'MASK',1:'NO MASK'}\n",
    "# green box, red box\n",
    "color_dict={0:(0,255,0),1:(0,0,255)}"
   ]
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     "name": "stdout",
     "text": "  3.1387224793434143\n[[0.02651907 0.97348094]]\nNO MASK   2.6519067585468292\n[[0.02651907 0.97348094]]\nNO MASK   2.6519067585468292\n[[0.02693065 0.97306937]]\nNO MASK   2.693065255880356\n[[0.02693496 0.9730651 ]]\nNO MASK   2.693496458232403\n[[0.03421642 0.9657836 ]]\nNO MASK   3.4216415137052536\n[[0.03421642 0.9657836 ]]\nNO MASK   3.4216415137052536\n[[0.03330911 0.9666909 ]]\nNO MASK   3.3309105783700943\n[[0.03091826 0.96908176]]\nNO MASK   3.091825544834137\n[[0.04498516 0.9550149 ]]\nNO MASK   4.498516023159027\n[[0.03568916 0.9643109 ]]\nNO MASK   3.5689160227775574\n[[0.0209094 0.9790906]]\nNO MASK   2.0909400656819344\n[[0.00361073 0.99638927]]\nNO MASK   0.361072551459074\n[[0.00408829 0.9959117 ]]\nNO MASK   0.4088288638740778\n[[0.00408829 0.9959117 ]]\nNO MASK   0.4088288638740778\n[[0.00499119 0.9950088 ]]\nNO MASK   0.4991187248378992\n[[0.01209019 0.9879098 ]]\nNO MASK   1.2090186588466167\n[[0.01334588 0.9866541 ]]\nNO MASK   1.3345876708626747\n[[0.0174626  0.98253745]]\nNO MASK   1.7462600022554398\n[[0.01135595 0.988644  ]]\nNO MASK   1.1355946771800518\n[[0.01135595 0.988644  ]]\nNO MASK   1.1355946771800518\n[[0.01414008 0.98585993]]\nNO MASK   1.4140077866613865\n[[0.01307317 0.98692685]]\nNO MASK   1.307317242026329\n[[0.01065154 0.9893484 ]]\nNO MASK   1.06515446677804\n[[0.0149869 0.9850131]]\nNO MASK   1.4986895956099033\n[[0.0149869 0.9850131]]\nNO MASK   1.4986895956099033\n[[0.01215325 0.9878468 ]]\nNO MASK   1.215324830263853\n[[0.01841758 0.9815824 ]]\nNO MASK   1.841757819056511\n[[0.01237546 0.9876245 ]]\nNO MASK   1.2375464662909508\n[[0.01077395 0.98922604]]\nNO MASK   1.0773949325084686\n[[0.01077395 0.98922604]]\nNO MASK   1.0773949325084686\n[[0.0117546  0.98824537]]\nNO MASK   1.17545984685421\n[[0.01275961 0.9872404 ]]\nNO MASK   1.2759608216583729\n[[0.01254455 0.9874555 ]]\nNO MASK   1.254455465823412\n[[0.02393574 0.9760643 ]]\nNO MASK   2.3935742676258087\n[[0.02078654 0.9792134 ]]\nNO MASK   2.078654430806637\n[[0.02078654 0.9792134 ]]\nNO MASK   2.078654430806637\n[[0.02877828 0.9712217 ]]\nNO MASK   2.8778281062841415\n[[0.02504609 0.97495395]]\nNO MASK   2.504608780145645\n[[0.02852121 0.9714788 ]]\nNO MASK   2.8521213680505753\n[[0.02852121 0.9714788 ]]\nNO MASK   2.8521213680505753\n[[0.01942223 0.9805778 ]]\nNO MASK   1.9422227516770363\n[[0.02136739 0.9786326 ]]\nNO MASK   2.136738784611225\n[[0.02643043 0.9735695 ]]\nNO MASK   2.643042989075184\n[[0.02310128 0.9768987 ]]\nNO MASK   2.3101281374692917\n[[0.02383711 0.9761629 ]]\nNO MASK   2.383711375296116\n[[0.02383711 0.9761629 ]]\nNO MASK   2.383711375296116\n[[0.01895688 0.9810431 ]]\nNO MASK   1.8956882879137993\n[[0.01865844 0.9813416 ]]\nNO MASK   1.8658442422747612\n[[0.02282207 0.97717786]]\nNO MASK   2.282206527888775\n[[0.02282207 0.97717786]]\nNO MASK   2.282206527888775\n[[0.02068803 0.97931194]]\nNO MASK   2.068803273141384\n[[0.04123831 0.9587617 ]]\nNO MASK   4.123831167817116\n[[0.05889686 0.9411032 ]]\nNO MASK   5.889685824513435\n[[0.02396188 0.9760381 ]]\nNO MASK   2.3961881175637245\n[[0.03041157 0.96958846]]\nNO MASK   3.0411571264266968\n[[0.04552886 0.9544711 ]]\nNO MASK   4.552886262536049\n[[0.04552886 0.9544711 ]]\nNO MASK   4.552886262536049\n[[0.05414689 0.9458532 ]]\nNO MASK   5.414688587188721\n[[0.05251116 0.9474889 ]]\nNO MASK   5.251116305589676\n[[0.02411773 0.9758823 ]]\nNO MASK   2.41177324205637\n[[0.01885979 0.98114014]]\nNO MASK   1.885979063808918\n[[0.01582996 0.9841701 ]]\nNO MASK   1.5829961746931076\n[[0.01582996 0.9841701 ]]\nNO MASK   1.5829961746931076\n[[0.02250277 0.9774973 ]]\nNO MASK   2.250277064740658\n[[0.02324492 0.9767551 ]]\nNO MASK   2.324492298066616\n[[0.01719869 0.98280126]]\nNO MASK   1.719868928194046\n[[0.01903506 0.98096496]]\nNO MASK   1.9035058096051216\n[[0.0129438  0.98705626]]\nNO MASK   1.2943797744810581\n[[0.02119899 0.9788011 ]]\nNO MASK   2.119899168610573\n[[0.02119899 0.9788011 ]]\nNO MASK   2.119899168610573\n[[0.02474806 0.9752519 ]]\nNO MASK   2.47480645775795\n[[0.02285044 0.97714955]]\nNO MASK   2.2850438952445984\n[[0.01248301 0.98751694]]\nNO MASK   1.2483008205890656\n[[0.01248301 0.98751694]]\nNO MASK   1.2483008205890656\n[[0.00962511 0.99037486]]\nNO MASK   0.9625112637877464\n[[0.01596272 0.9840373 ]]\nNO MASK   1.5962723642587662\n[[0.0109626  0.98903745]]\nNO MASK   1.0962600819766521\n[[0.01310926 0.98689073]]\nNO MASK   1.310926117002964\n[[0.01310926 0.98689073]]\nNO MASK   1.310926117002964\n[[0.02054927 0.97945076]]\nNO MASK   2.0549269393086433\n[[0.02024981 0.97975016]]\nNO MASK   2.0249806344509125\n[[0.01142135 0.9885787 ]]\nNO MASK   1.1421347968280315\n[[0.01159671 0.98840326]]\nNO MASK   1.1596710421144962\n[[0.01370009 0.98629993]]\nNO MASK   1.37000922113657\n[[0.01370009 0.98629993]]\nNO MASK   1.37000922113657\n[[0.0130038 0.9869962]]\nNO MASK   1.300379540771246\n[[0.01369259 0.98630744]]\nNO MASK   1.3692588545382023\n[[0.01097731 0.98902273]]\nNO MASK   1.0977314785122871\n[[0.01114294 0.9888571 ]]\nNO MASK   1.1142941191792488\n[[0.01114294 0.9888571 ]]\nNO MASK   1.1142941191792488\n[[0.01267414 0.9873259 ]]\nNO MASK   1.267414167523384\n[[0.02029552 0.9797045 ]]\nNO MASK   2.029552310705185\n[[0.01528594 0.9847141 ]]\nNO MASK   1.528594270348549\n[[0.00808317 0.99191684]]\nNO MASK   0.8083168417215347\n[[0.00808317 0.99191684]]\nNO MASK   0.8083168417215347\n[[0.01075089 0.9892491 ]]\nNO MASK   1.075089257210493\n[[0.01070402 0.989296  ]]\nNO MASK   1.0704019106924534\n[[0.0137831 0.9862169]]\nNO MASK   1.378309540450573\n[[0.01918631 0.9808137 ]]\nNO MASK   1.9186314195394516\n[[0.01457845 0.98542154]]\nNO MASK   1.457845326513052\n[[0.01457845 0.98542154]]\nNO MASK   1.457845326513052\n[[0.01511664 0.98488337]]\nNO MASK   1.5116635710000992\n[[0.01617937 0.9838207 ]]\nNO MASK   1.6179371625185013\n[[0.01682077 0.9831792 ]]\nNO MASK   1.6820766031742096\n[[0.01682077 0.9831792 ]]\nNO MASK   1.6820766031742096\n[[0.02119308 0.9788069 ]]\nNO MASK   2.119307778775692\n[[0.01150824 0.9884918 ]]\nNO MASK   1.1508241295814514\n[[0.01891795 0.9810821 ]]\nNO MASK   1.8917948007583618\n[[0.0122058  0.98779416]]\nNO MASK   1.2205797247588634\n[[0.0122058  0.98779416]]\nNO MASK   1.2205797247588634\n[[0.01562477 0.9843752 ]]\nNO MASK   1.5624772757291794\n[[0.02576279 0.9742372 ]]\nNO MASK   2.576279081404209\n[[0.01192287 0.98807716]]\nNO MASK   1.1922873556613922\n[[0.01192287 0.98807716]]\nNO MASK   1.1922873556613922\n[[0.00953838 0.99046165]]\nNO MASK   0.9538384154438972\n[[0.0176547 0.9823453]]\nNO MASK   1.7654698342084885\n[[0.01721031 0.98278964]]\nNO MASK   1.7210308462381363\n[[0.02137037 0.97862965]]\nNO MASK   2.137036807835102\n[[0.01239994 0.9876001 ]]\nNO MASK   1.2399938888847828\n[[0.01800726 0.9819927 ]]\nNO MASK   1.8007263541221619\n[[0.01800726 0.9819927 ]]\nNO MASK   1.8007263541221619\n[[0.0210822 0.9789178]]\nNO MASK   2.1082203835248947\n[[0.02276307 0.977237  ]]\nNO MASK   2.2763071581721306\n[[0.01279255 0.9872075 ]]\nNO MASK   1.2792554683983326\n[[0.02758445 0.97241557]]\nNO MASK   2.758445218205452\n[[0.02758445 0.97241557]]\nNO MASK   2.758445218205452\n[[0.02108105 0.97891897]]\nNO MASK   2.1081052720546722\n[[0.02206038 0.97793967]]\nNO MASK   2.206038311123848\n[[0.02233699 0.97766304]]\nNO MASK   2.2336991503834724\n[[0.02359265 0.9764073 ]]\nNO MASK   2.3592645302414894\n[[0.01680413 0.98319584]]\nNO MASK   1.6804132610559464\n[[0.01858445 0.9814155 ]]\nNO MASK   1.8584448844194412\n[[0.01858445 0.9814155 ]]\nNO MASK   1.8584448844194412\n[[0.0174956 0.9825044]]\nNO MASK   1.7495602369308472\n[[0.02467048 0.97532946]]\nNO MASK   2.467047981917858\n[[0.0184551 0.981545 ]]\nNO MASK   1.8455103039741516\n[[0.02020387 0.9797962 ]]\nNO MASK   2.020387165248394\n[[0.01627778 0.98372227]]\nNO MASK   1.6277782618999481\n[[0.00999941 0.9900006 ]]\nNO MASK   0.999941024929285\n[[0.00999941 0.9900006 ]]\nNO MASK   0.999941024929285\n[[0.01116903 0.988831  ]]\nNO MASK   1.1169033125042915\n[[0.00980091 0.9901991 ]]\nNO MASK   0.9800910018384457\n[[0.00980057 0.9901994 ]]\nNO MASK   0.9800567291676998\n[[0.01299943 0.9870006 ]]\nNO MASK   1.2999434024095535\n[[0.01299943 0.9870006 ]]\nNO MASK   1.2999434024095535\n[[0.0110205  0.98897946]]\nNO MASK   1.1020501144230366\n[[0.01149825 0.9885018 ]]\nNO MASK   1.1498253792524338\n[[0.01707249 0.9829275 ]]\nNO MASK   1.7072485759854317\n[[0.01707249 0.9829275 ]]\nNO MASK   1.7072485759854317\n[[0.01508441 0.9849156 ]]\nNO MASK   1.5084411948919296\n[[0.01713821 0.98286176]]\nNO MASK   1.7138207331299782\n[[0.01580421 0.9841958 ]]\nNO MASK   1.580420508980751\n[[0.01588893 0.9841111 ]]\nNO MASK   1.588892750442028\n[[0.01817124 0.9818288 ]]\nNO MASK   1.8171235918998718\n[[0.01222523 0.9877747 ]]\nNO MASK   1.2225227430462837\n[[0.01222523 0.9877747 ]]\nNO MASK   1.2225227430462837\n[[0.014241 0.985759]]\nNO MASK   1.4241003431379795\n[[0.01720192 0.98279804]]\nNO MASK   1.7201922833919525\n[[0.0220728 0.9779272]]\nNO MASK   2.2072801366448402\n[[0.0220728 0.9779272]]\nNO MASK   2.2072801366448402\n[[0.03566258 0.9643374 ]]\nNO MASK   3.566257655620575\n[[0.0210578 0.9789423]]\nNO MASK   2.1057801321148872\n[[0.01778402 0.982216  ]]\nNO MASK   1.778402179479599\n[[0.03004556 0.96995443]]\nNO MASK   3.0045555904507637\n[[0.03004556 0.96995443]]\nNO MASK   3.0045555904507637\n[[0.01866408 0.98133594]]\nNO MASK   1.8664075061678886\n[[0.02046196 0.979538  ]]\nNO MASK   2.0461957901716232\n[[0.0162811  0.98371893]]\nNO MASK   1.6281096264719963\n[[0.0169386 0.9830614]]\nNO MASK   1.6938604414463043\n[[0.01122818 0.98877186]]\nNO MASK   1.122818049043417\n[[0.0172258  0.98277426]]\nNO MASK   1.7225800082087517\n[[0.0172258  0.98277426]]\nNO MASK   1.7225800082087517\n[[0.01649745 0.98350257]]\nNO MASK   1.6497448086738586\n[[0.01597931 0.98402065]]\nNO MASK   1.5979306772351265\n[[0.01710405 0.982896  ]]\nNO MASK   1.7104048281908035\n[[0.01710405 0.982896  ]]\nNO MASK   1.7104048281908035\n[[0.02757095 0.9724291 ]]\nNO MASK   2.7570948004722595\n[[0.03115604 0.968844  ]]\nNO MASK   3.115604445338249\n[[0.01444614 0.9855539 ]]\nNO MASK   1.4446142129600048\n[[0.01583044 0.9841696 ]]\nNO MASK   1.5830444172024727\n[[0.01361304 0.986387  ]]\nNO MASK   1.3613040558993816\n[[0.01361304 0.986387  ]]\nNO MASK   1.3613040558993816\n[[0.01209869 0.98790133]]\nNO MASK   1.2098686769604683\n[[0.01438894 0.9856111 ]]\nNO MASK   1.438894122838974\n[[0.01271462 0.9872853 ]]\nNO MASK   1.2714623473584652\n[[0.01806572 0.9819343 ]]\nNO MASK   1.8065720796585083\n[[0.01806572 0.9819343 ]]\nNO MASK   1.8065720796585083\n[[0.01789922 0.9821008 ]]\nNO MASK   1.7899220809340477\n[[0.02376247 0.97623754]]\nNO MASK   2.3762471973896027\n[[0.01873569 0.98126435]]\nNO MASK   1.873568817973137\n[[0.01873569 0.98126435]]\nNO MASK   1.873568817973137\n[[0.01773879 0.98226124]]\nNO MASK   1.7738791182637215\n[[0.01603663 0.98396343]]\nNO MASK   1.603662595152855\n[[0.01970747 0.9802925 ]]\nNO MASK   1.9707465544342995\n[[0.01970747 0.9802925 ]]\nNO MASK   1.9707465544342995\n[[0.01531269 0.98468727]]\nNO MASK   1.5312694013118744\n[[0.01887395 0.981126  ]]\nNO MASK   1.8873950466513634\n[[0.01811527 0.98188466]]\nNO MASK   1.8115274608135223\n[[0.02218778 0.97781223]]\nNO MASK   2.218778431415558\n[[0.01951231 0.98048776]]\nNO MASK   1.9512314349412918\n[[0.02696385 0.97303617]]\nNO MASK   2.69638504832983\n[[0.02696385 0.97303617]]\nNO MASK   2.69638504832983\n[[0.01682065 0.98317933]]\nNO MASK   1.6820654273033142\n[[0.01701648 0.98298347]]\nNO MASK   1.7016483470797539\n[[0.02376312 0.9762368 ]]\nNO MASK   2.376312017440796\n[[0.01949161 0.9805084 ]]\nNO MASK   1.9491611048579216\n[[0.01949161 0.9805084 ]]\nNO MASK   1.9491611048579216\n[[0.02138173 0.97861826]]\nNO MASK   2.138172835111618\n[[0.01748632 0.9825136 ]]\nNO MASK   1.7486324533820152\n[[0.01284583 0.9871542 ]]\nNO MASK   1.284583006054163\n[[0.01290189 0.98709804]]\nNO MASK   1.2901888228952885\n[[0.01290189 0.98709804]]\nNO MASK   1.2901888228952885\n[[0.01577736 0.9842226 ]]\nNO MASK   1.5777362510561943\n[[0.0193372  0.98066276]]\nNO MASK   1.9337201490998268\n[[0.01249674 0.98750323]]\nNO MASK   1.249674055725336\n[[0.01740691 0.98259306]]\nNO MASK   1.740691252052784\n[[0.00902328 0.9909767 ]]\nNO MASK   0.9023279882967472\n[[0.00902328 0.9909767 ]]\nNO MASK   0.9023279882967472\n[[0.01140037 0.98859966]]\nNO MASK   1.1400369927287102\n[[0.01188304 0.988117  ]]\nNO MASK   1.188303716480732\n[[0.01385667 0.9861434 ]]\nNO MASK   1.3856668956577778\n[[0.01253701 0.987463  ]]\nNO MASK   1.253700815141201\n[[0.01253701 0.987463  ]]\nNO MASK   1.253700815141201\n[[0.01503839 0.9849616 ]]\nNO MASK   1.5038390643894672\n[[0.01496098 0.985039  ]]\nNO MASK   1.4960979111492634\n[[0.01071575 0.9892842 ]]\nNO MASK   1.0715753771364689\n[[0.01977601 0.980224  ]]\nNO MASK   1.9776007160544395\n[[0.01977601 0.980224  ]]\nNO MASK   1.9776007160544395\n[[0.03141345 0.9685865 ]]\nNO MASK   3.1413450837135315\n[[0.02542477 0.9745753 ]]\nNO MASK   2.5424769148230553\n[[0.03522008 0.9647799 ]]\nNO MASK   3.522007539868355\n[[0.03608517 0.9639149 ]]\nNO MASK   3.608517348766327\n[[0.03239793 0.9676021 ]]\nNO MASK   3.2397929579019547\n[[0.03218502 0.967815  ]]\nNO MASK   3.2185018062591553\n[[0.02424311 0.9757568 ]]\nNO MASK   2.4243105202913284\n[[0.02378662 0.97621334]]\nNO MASK   2.3786624893546104\n[[0.02420578 0.9757942 ]]\nNO MASK   2.4205779656767845\n[[0.01552946 0.9844706 ]]\nNO MASK   1.5529455617070198\n[[0.01552946 0.9844706 ]]\nNO MASK   1.5529455617070198\n[[0.01553488 0.9844652 ]]\nNO MASK   1.5534882433712482\n[[0.01491023 0.9850898 ]]\nNO MASK   1.4910229481756687\n[[0.01167587 0.98832417]]\nNO MASK   1.1675872839987278\n[[0.01306575 0.9869343 ]]\nNO MASK   1.3065754435956478\n[[0.0156057 0.9843944]]\nNO MASK   1.5605702996253967\n[[0.0156057 0.9843944]]\nNO MASK   1.5605702996253967\n[[0.01152317 0.9884769 ]]\nNO MASK   1.1523174121975899\n[[0.01395227 0.98604774]]\nNO MASK   1.3952272944152355\n[[0.01050854 0.98949146]]\nNO MASK   1.0508539155125618\n[[0.01050854 0.98949146]]\nNO MASK   1.0508539155125618\n[[0.00850162 0.9914984 ]]\nNO MASK   0.8501618169248104\n[[0.01413967 0.98586035]]\nNO MASK   1.4139666222035885\n[[0.01195364 0.9880463 ]]\nNO MASK   1.195363886654377\n[[0.01179764 0.9882024 ]]\nNO MASK   1.1797639541327953\n[[0.01179764 0.9882024 ]]\nNO MASK   1.1797639541327953\n[[0.01229088 0.98770916]]\nNO MASK   1.2290882878005505\n[[0.01010372 0.9898963 ]]\nNO MASK   1.010371744632721\n[[0.01010478 0.9898953 ]]\nNO MASK   1.010478101670742\n[[0.01010478 0.9898953 ]]\nNO MASK   1.010478101670742\n[[0.01428498 0.985715  ]]\nNO MASK   1.4284981414675713\n[[0.00953358 0.9904665 ]]\nNO MASK   0.9533582255244255\n[[0.01033232 0.98966765]]\nNO MASK   1.0332324542105198\n[[0.01779865 0.9822013 ]]\nNO MASK   1.77986528724432\n[[0.01315274 0.9868472 ]]\nNO MASK   1.315273530781269\n[[0.01100658 0.98899347]]\nNO MASK   1.1006577871739864\n[[0.01100658 0.98899347]]\nNO MASK   1.1006577871739864\n[[0.01502849 0.98497146]]\nNO MASK   1.502849068492651\n[[0.01436346 0.9856366 ]]\nNO MASK   1.4363463036715984\n[[0.01632688 0.9836731 ]]\nNO MASK   1.6326876357197762\n[[0.01511047 0.98488945]]\nNO MASK   1.511046662926674\n[[0.01511047 0.98488945]]\nNO MASK   1.511046662926674\n[[0.01610936 0.9838906 ]]\nNO MASK   1.610935665667057\n[[0.01094721 0.98905283]]\nNO MASK   1.0947209782898426\n[[0.01094721 0.98905283]]\nNO MASK   1.0947209782898426\n[[0.0117489  0.98825103]]\nNO MASK   1.1748895049095154\n[[0.01274484 0.9872551 ]]\nNO MASK   1.2744840234518051\n[[0.00986322 0.99013674]]\nNO MASK   0.986322108656168\n[[0.01223819 0.98776186]]\nNO MASK   1.2238191440701485\n[[0.01223819 0.98776186]]\nNO MASK   1.2238191440701485\n[[0.01226855 0.9877315 ]]\nNO MASK   1.2268547900021076\n[[0.02607981 0.97392017]]\nNO MASK   2.60798130184412\n[[0.02739752 0.9726025 ]]\nNO MASK   2.739752270281315\n[[0.02739752 0.9726025 ]]\nNO MASK   2.739752270281315\n[[0.00966921 0.9903308 ]]\nNO MASK   0.9669211693108082\n[[0.01328892 0.9867111 ]]\nNO MASK   1.3288921676576138\n[[0.01695078 0.9830493 ]]\nNO MASK   1.6950782388448715\n[[0.02530251 0.9746975 ]]\nNO MASK   2.530250698328018\n[[0.02078974 0.9792102 ]]\nNO MASK   2.07897387444973\n[[0.02078974 0.9792102 ]]\nNO MASK   2.07897387444973\n[[0.02744245 0.9725575 ]]\nNO MASK   2.744244784116745\n[[0.01554953 0.9844505 ]]\nNO MASK   1.554952934384346\n[[0.02035003 0.97965   ]]\nNO MASK   2.0350027829408646\n[[0.02035003 0.97965   ]]\nNO MASK   2.0350027829408646\n[[0.0180851 0.9819149]]\nNO MASK   1.8085099756717682\n[[0.0149269  0.98507315]]\nNO MASK   1.4926900155842304\n[[0.02263146 0.9773686 ]]\nNO MASK   2.2631457075476646\n[[0.02185988 0.9781401 ]]\nNO MASK   2.1859876811504364\n[[0.02497919 0.9750208 ]]\nNO MASK   2.497919276356697\n[[0.02497919 0.9750208 ]]\nNO MASK   2.497919276356697\n[[0.02454223 0.9754578 ]]\nNO MASK   2.454223483800888\n[[0.01450314 0.9854968 ]]\nNO MASK   1.4503142796456814\n[[0.01454735 0.9854527 ]]\nNO MASK   1.4547346159815788\n[[0.0162497 0.9837503]]\nNO MASK   1.6249699518084526\n[[0.0162497 0.9837503]]\nNO MASK   1.6249699518084526\n[[0.02190728 0.9780927 ]]\nNO MASK   2.190728113055229\n[[0.02193261 0.97806734]]\nNO MASK   2.1932607516646385\n[[0.02301087 0.9769891 ]]\nNO MASK   2.3010872304439545\n[[0.02301087 0.9769891 ]]\nNO MASK   2.3010872304439545\n[[0.01856493 0.98143506]]\nNO MASK   1.856493018567562\n[[0.01245919 0.9875408 ]]\nNO MASK   1.2459194287657738\n[[0.0116663 0.9883337]]\nNO MASK   1.166630256921053\n[[0.01354774 0.98645234]]\nNO MASK   1.3547740876674652\n[[0.03179389 0.96820605]]\nNO MASK   3.179388865828514\n[[0.01659242 0.98340756]]\nNO MASK   1.6592422500252724\n[[0.01192303 0.9880769 ]]\nNO MASK   1.1923029087483883\n[[0.02112296 0.978877  ]]\nNO MASK   2.112296223640442\n[[0.03223839 0.96776164]]\nNO MASK   3.2238390296697617\n[[0.0479327 0.9520673]]\nNO MASK   4.79327030479908\n[[0.14994484 0.85005516]]\nNO MASK   14.994484186172485\n[[0.10848693 0.89151305]]\nNO MASK   10.848692804574966\n[[0.11327226 0.8867278 ]]\nNO MASK   11.327225714921951\n[[0.11327226 0.8867278 ]]\nNO MASK   11.327225714921951\n[[0.17884733 0.8211526 ]]\nNO MASK   17.88473278284073\n[[0.1986681 0.8013319]]\nNO MASK   19.866810739040375\n[[0.21428472 0.78571534]]\nNO MASK   21.42847180366516\n[[0.21428472 0.78571534]]\nNO MASK   21.42847180366516\n[[0.18777624 0.81222373]]\nNO MASK   18.777623772621155\n[[0.22150454 0.7784955 ]]\nNO MASK   22.15045392513275\n[[0.34312847 0.6568715 ]]\nNO MASK   34.31284725666046\n[[0.31233367 0.68766636]]\nNO MASK   31.233367323875427\n[[0.31233367 0.68766636]]\nNO MASK   31.233367323875427\n[[0.38397837 0.61602163]]\nNO MASK   38.397836685180664\n[[0.23492137 0.7650786 ]]\nNO MASK   23.492136597633362\n[[0.33397955 0.6660205 ]]\nNO MASK   33.39795470237732\n[[0.28625372 0.7137463 ]]\nNO MASK   28.625372052192688\n[[0.2758129 0.7241871]]\nNO MASK   27.581289410591125\n[[0.21328832 0.78671175]]\nNO MASK   21.32883220911026\n[[0.18572515 0.81427485]]\nNO MASK   18.57251524925232\n[[0.11867018 0.8813298 ]]\nNO MASK   11.867018043994904\n[[0.15166914 0.8483309 ]]\nNO MASK   15.166914463043213\n[[0.15166914 0.8483309 ]]\nNO MASK   15.166914463043213\n[[0.21111155 0.7888885 ]]\nNO MASK   21.111154556274414\n[[0.16224927 0.8377507 ]]\nNO MASK   16.224926710128784\n[[0.09683406 0.90316594]]\nNO MASK   9.683405607938766\n[[0.1757666  0.82423335]]\nNO MASK   17.576660215854645\n[[0.09024701 0.909753  ]]\nNO MASK   9.02470052242279\n[[0.09024701 0.909753  ]]\nNO MASK   9.02470052242279\n[[0.16917516 0.8308248 ]]\nNO MASK   16.91751629114151\n[[0.20862 0.79138]]\nNO MASK   20.861999690532684\n[[0.21649061 0.7835094 ]]\nNO MASK   21.649061143398285\n[[0.14964075 0.85035926]]\nNO MASK   14.9640753865242\n[[0.11343206 0.8865679 ]]\nNO MASK   11.343205720186234\n[[0.11343206 0.8865679 ]]\nNO MASK   11.343205720186234\n[[0.20482548 0.79517454]]\nNO MASK   20.48254758119583\n[[0.24281245 0.75718755]]\nNO MASK   24.281245470046997\n[[0.21682756 0.7831725 ]]\nNO MASK   21.682755649089813\n[[0.21682756 0.7831725 ]]\nNO MASK   21.682755649089813\n[[0.25364307 0.74635696]]\nNO MASK   25.364306569099426\n[[0.38513154 0.6148685 ]]\nNO MASK   38.51315379142761\n[[0.29623914 0.7037608 ]]\nNO MASK   29.623913764953613\n[[0.57853025 0.42146975]]\nMASK   57.85302519798279\n[[0.57853025 0.42146975]]\nMASK   57.85302519798279\n[[0.39105588 0.6089441 ]]\nNO MASK   39.10558819770813\n[[0.36738142 0.63261855]]\nNO MASK   36.73814237117767\n[[0.4586366  0.54136336]]\nNO MASK   45.8636611700058\n[[0.4586366  0.54136336]]\nNO MASK   45.8636611700058\n[[0.49870375 0.5012962 ]]\nNO MASK   49.87037479877472\n[[0.2885805 0.7114195]]\nNO MASK   28.85805070400238\n9017\n"
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "milliseconds = 0\n",
    "while True:\n",
    "    milliseconds = milliseconds + 1\n",
    "\n",
    "    # camera.read() returns 2 variables, one matrix of the image one video\n",
    "    matrix,frame = camera.read()\n",
    "\n",
    "    # the video in tensor or matrix form\n",
    "    #print(matrix)\n",
    "    # the actual video stream \n",
    "    #print(frame)\n",
    "\n",
    "    # convert frame into grey scale\n",
    "    gray = cv.cvtColor(frame, cv.COLOR_BGR2GRAY)\n",
    "\n",
    "    # get faces from gray video frame\n",
    "    faces = face_detection.detectMultiScale(gray,1.3,5)  \n",
    "    \n",
    "    for (x,y,w,h) in faces:\n",
    "        # crops the region which the face is found within the gray frame\n",
    "        face_img = gray[y:y+w,x:x+w]\n",
    "        # resizing image to what the nn was trained for\n",
    "        # cv.resize(face_img,(50,50) returns a tensor of the image\n",
    "        resized = cv.resize(face_img,(100,100))\n",
    "        \n",
    "        # dividing image by 255 because each pixel only has a max value of 255\n",
    "        # so by doing this each value returned in the resize tensor will now be\n",
    "        # between 0-1 making it easier for our nn to manage\n",
    "        normalized = resized/255.0\n",
    "        # reshapes size of array to 4D since convnets takes in 4d array \n",
    "        reshaped = np.reshape(normalized,(1,100,100,1))\n",
    "        # images shown in tensors\n",
    "        # print(reshaped)\n",
    "        # how many array dimensions\n",
    "        # print(reshaped.ndim)\n",
    "\n",
    "        # shows the image that is sent to the nn\n",
    "        # plt.imshow(resized,cmap=\"gray\")\n",
    "        # plt.show()\n",
    "\n",
    "        # runs image of face that was caputures through the model\n",
    "        result = model.predict(reshaped)\n",
    "        print(result)\n",
    "        # returns index of mask status\n",
    "        label = np.argmax(result, axis=1)[0]\n",
    "        print(labels_dict[label],\" \",result[0][0]*100)\n",
    "\n",
    "        # if(int(result[0][0]*100) < 97):\n",
    "        #     label = 1\n",
    "\n",
    "        cv.rectangle(frame,(x,y),(x+w,y+h),color_dict[label],2)\n",
    "        cv.rectangle(frame,(x,y-40),(x+w,y),color_dict[label],-1)\n",
    "        cv.putText(frame, labels_dict[label], (x, y-10),cv.FONT_HERSHEY_SIMPLEX,0.8,(255,255,255),2)\n",
    "        cv.putText(frame, str(round(result[0][0]*100, 2)), (x+125, y-10),cv.FONT_HERSHEY_SIMPLEX,0.8,(255,255,255),2)\n",
    "    cv.imshow('Capturing', frame)\n",
    "\n",
    "    key = cv.waitKey(1)\n",
    "\n",
    "    if key == ord('q'):\n",
    "        break\n",
    "print(milliseconds)\n",
    "\n",
    "camera.release()\n",
    "cv.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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