{
 "metadata": {
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8-final"
  },
  "orig_nbformat": 2,
  "kernelspec": {
   "name": "python3",
   "display_name": "Python 3.8.8 64-bit ('tensorflow2': conda)",
   "metadata": {
    "interpreter": {
     "hash": "ee99f7bd678359d45d92ad289bdab8f6bcfaae579cfd1bff07d2bb16d7ba024f"
    }
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2,
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import fast_depth_functional as fd"
   ]
  },
  {
   "source": [
    "### Windows GPU Fix"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "1 Physical GPUs, 1 Logical GPUs\n"
     ]
    }
   ],
   "source": [
    "fd.fix_windows_gpu()"
   ]
  },
  {
   "source": [
    "## Create and compile the model"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = fd.mobilenet_nnconv5(weights='imagenet')\n",
    "fd.compile(model)"
   ]
  },
  {
   "source": [
    "## Train the model using the nyu_v2 dataset (default, huge download)"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fd.train(existing_model=model, save_file='../fast-depth-experimental')"
   ]
  },
  {
   "source": [
    "## Evaluate the trained model"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fd.evaluate(model)"
   ]
  }
 ]
}