얼굴 전처리 후 예측 model.ipynb

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      "C:\\Users\\JANGHYUNUK\\Anaconda3\\lib\\site-packages\\h5py\\__init__.py:72: UserWarning: h5py is running against HDF5 1.10.2 when it was built against 1.10.3, this may cause problems\n",
      "  '{0}.{1}.{2}'.format(*version.hdf5_built_version_tuple)\n",
      "Using TensorFlow backend.\n"
     ]
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     "text": [
      "face exist\n",
      "[[0]]\n"
     ]
    }
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   "source": [
    "from keras.models import load_model\n",
    "import cv2\n",
    "import numpy as np\n",
    "\n",
    "\n",
    "model = load_model('인공지능론 과제.h5')\n",
    "\n",
    "image_file = \"C:/test.jpg\"\n",
    "cascade_file = \"haarcascade_frontalface_alt.xml\"\n",
    "    \n",
    "\n",
    "image = cv2.imread(image_file)\n",
    "  \n",
    "\n",
    "cascade = cv2.CascadeClassifier(cascade_file)\n",
    "face_list = cascade.detectMultiScale(image,scaleFactor = 1.1, minNeighbors = 1, minSize = (150, 150))\n",
    "\n",
    "if len(face_list) > 0:\n",
    "     print(\"face exist\")\n",
    "     for (x,y,w,h) in face_list:\n",
    "         cropped = image[y:y + h, x:x + w]\n",
    "         cv2.imwrite(\"face image.png\", cropped)\n",
    "           \n",
    "    \n",
    "else:\n",
    "    print(\"no face\")\n",
    "\n",
    "img = cv2.imread('face image.png')    \n",
    "img = cv2.resize(img,(64,64))\n",
    "img = np.reshape(img,[1,64,64,3])\n",
    "\n",
    "classes = model.predict_classes(img)\n",
    "\n",
    "print (classes)"
   ]
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