Face Mask Detection.ipynb

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   "source": [
    "import numpy as np\n",
    "import cv2\n",
    "import os\n",
    "from tensorflow.keras.applications.mobilenet_v2 import preprocess_input\n",
    "from tensorflow.keras.preprocessing.image import img_to_array\n",
    "from tensorflow.keras.models import load_model\n",
    "\n",
    "\n",
    "casc_Path = os.path.dirname(cv2.__file__) + \"/data/haarcascade_frontalface_alt2.xml\"\n",
    "face_Cascade = cv2.CascadeClassifier(casc_Path)\n",
    "#Pre-trained mode;\n",
    "model = load_model(\"mask_recog_ver2 (1).h5\")\n",
    "\n",
    "# Access video through webcam\n",
    "video_cap = cv2.VideoCapture(0)\n",
    "while True:\n",
    "    # Capture frame-by-frame from live video\n",
    "    ret, frame = video_cap.read()\n",
    "    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)\n",
    "    faces = face_Cascade.detectMultiScale(gray,scaleFactor=1.1,minNeighbors=5,minSize=(60, 60),flags=cv2.CASCADE_SCALE_IMAGE)\n",
    "    faces_list=[]\n",
    "    preds=[]\n",
    "    for (x, y, w, h) in faces:\n",
    "        faceFrame = frame[y:y+h,x:x+w]\n",
    "        faceFrame = cv2.cvtColor(faceFrame, cv2.COLOR_BGR2RGB)\n",
    "        faceFrame = cv2.resize(faceFrame, (224, 224))\n",
    "        faceFrame = img_to_array(faceFrame)\n",
    "        faceFrame = np.expand_dims(faceFrame, axis=0)\n",
    "        faceFrame =  preprocess_input(faceFrame)\n",
    "        faces_list.append(faceFrame)\n",
    "        if len(faces_list)>0:\n",
    "            preds = model.predict(faces_list)\n",
    "        for pred in preds:\n",
    "            (mask, withoutMask) = pred\n",
    "        label = \"Mask\" if mask > withoutMask else \"No Mask\"\n",
    "        color = (0, 255, 0) if label == \"Mask\" else (0, 0, 255)\n",
    "        label = \"{}: {:.2f}%\".format(label, max(mask, withoutMask) * 100)\n",
    "        cv2.putText(frame, label, (x, y- 10),cv2.FONT_HERSHEY_SIMPLEX, 0.45, color, 2)\n",
    "        cv2.rectangle(frame, (x, y), (x + w, y + h),color, 2)\n",
    "        # Display the resulting frame\n",
    "    cv2.imshow('Video', frame)\n",
    "    # Press \"q\" to exit the window\n",
    "    if cv2.waitKey(1) & 0xFF == ord('q'):\n",
    "        break\n",
    "video_cap.release()\n",
    "cv2.destroyAllWindows()\n"
   ]
  }
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