FaceMask_testing.ipynb

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   "source": [
    "import tensorflow as tf\n",
    "from tensorflow.keras.models import load_model\n",
    "from tensorflow.keras.models import model_from_json\n",
    "import json\n",
    "\n",
    "\n",
    "# Model reconstruction from JSON file\n",
    "with open(r\"model_architecture_FaceMask_Detection.json\", 'r') as f:\n",
    "    model=model_from_json(f.read())\n",
    "\n",
    "# Load weights into the new model\n",
    "model.load_weights(r\"FaceMask_Detection.h5\")\n",
    "\n",
    "#model.summary()\n",
    "\n",
    "\n",
    "# Model testing\n",
    "import cv2\n",
    "import numpy as np\n",
    "\n",
    "label = {0:\"With Mask\",1:\"Without Mask\"}\n",
    "color_label = {0: (0,255,0),1 : (0,0,255)}\n",
    "\n",
    "cap = cv2.VideoCapture(0) \n",
    "\n",
    "cascade = cv2.CascadeClassifier(r'haarcascade_frontalface_default.xml')\n",
    "\n",
    "\n",
    "while True:\n",
    "    (rval, frame) = cap.read()\n",
    "    \n",
    "    gray = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)\n",
    "    faces = cascade.detectMultiScale(gray,1.1,4)\n",
    "    \n",
    "    for x,y,w,h in faces:\n",
    "        face_image = frame[y:y+h,x:x+w]\n",
    "        resize_img  = cv2.resize(face_image,(150,150))\n",
    "        normalized = resize_img/255.0\n",
    "        reshape = np.reshape(normalized,(1,150,150,3))\n",
    "        reshape = np.vstack([reshape])\n",
    "        result = model.predict(reshape)\n",
    "        result = result[0][0]\n",
    "        \n",
    "        if result <= 0.5:\n",
    "            cv2.rectangle(frame,(x,y),(x+w,y+h),color_label[0],3)\n",
    "            cv2.rectangle(frame,(x,y-50),(x+w,y),color_label[0],-1)\n",
    "            cv2.putText(frame,label[0],(x,y-10),cv2.FONT_HERSHEY_SIMPLEX,1,(255,255,255),2)\n",
    "            \n",
    "        elif result > 0.5:\n",
    "            cv2.rectangle(frame,(x,y),(x+w,y+h),color_label[1],3)\n",
    "            cv2.rectangle(frame,(x,y-50),(x+w,y),color_label[1],-1)\n",
    "            cv2.putText(frame,label[1],(x,y-10),cv2.FONT_HERSHEY_SIMPLEX,1,(255,255,255),2)\n",
    "            \n",
    "            \n",
    "    cv2.imshow('LIVE',   frame)\n",
    "    key = cv2.waitKey(10)\n",
    "    \n",
    "    if key==27:\n",
    "        break\n",
    "\n",
    "cap.release()\n",
    "\n",
    "cv2.destroyAllWindows()"
   ]
  },
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   "execution_count": null,
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   "outputs": [],
   "source": []
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