pix2vid.ipynb

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   "source": [
    "# Spatiotemporal CNN-RNN Proxy Model for CO2 Monitoring\n",
    "### Misael M. Morales, The University of Texas at Austin\n",
    "Morales, M.M., Torres-Verdin, C., and Pyrcz, M. J. (2024) Stochastic pix2vid: A new spatiotemporal deep learning method for image-to-video synthesis in geologic CO2 storage prediction\n",
    "***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pix2vid import *\n",
    "\n",
    "proxy = SpatiotemporalCO2()\n",
    "proxy.check_tf()\n",
    "#proxy.__dict__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "proxy.load_data()\n",
    "proxy.process_data()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "proxy.plot_data()\n",
    "proxy.plot_features()\n",
    "proxy.plot_targets()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "proxy.make_model()\n",
    "proxy.training()\n",
    "# proxy.model.load_weights('stochastic_pix2vid_weights.h5')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "proxy.predictions()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "proxy.plot_single_results(411, 'train')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "proxy.cumulative_co2()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***\n",
    "# END"
   ]
  }
 ],
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