create_and_save_feature_vector_model.ipynb

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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Create music feature extraction model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
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   "source": [
    "### Imports"
   ]
  },
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    {
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     "text": [
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "from keras import backend as K\n",
    "from keras.models import load_model\n",
    "from keras.models import Model\n",
    "from keras.preprocessing.image import array_to_img, img_to_array, load_img\n",
    "import os\n",
    "import glob\n",
    "import numpy as np\n",
    "import pickle"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### Load music classification model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true,
    "deletable": true,
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   "outputs": [],
   "source": [
    "DATA_DIR = 'prediction/'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false,
    "deletable": true,
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   "outputs": [],
   "source": [
    "image_size = 256\n",
    "\n",
    "if K.image_data_format() == 'channels_first':\n",
    "    input_shape = (3, image_size, image_size)\n",
    "else:\n",
    "    input_shape = (image_size, image_size, 3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
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   "source": [
    "model = load_model('music_classification.hdf5')\n",
    "model.layers.pop()\n",
    "model.layers.pop()\n",
    "model.layers.pop()\n",
    "model.layers.pop()\n",
    "new_output = model.layers[-1].output\n",
    "feature_vec_model = Model(model.input, new_output)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Save feature extraction model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "feature_vec_model.save('music_feature_extractor.hdf5')"
   ]
  }
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