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  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Gedeon-m-gedus/Image_Processing/blob/master/land_use_land_cover_part1.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EFpgp_rIA_TY"
      },
      "source": [
        "# Land Use and Land Cover Classification using Pytorch\n",
        "**Content Creators**: Ankur Mahesh and Isabelle Tingzon\n",
        "\n",
        "Welcome to CCAI's tutorial on land use and land cover (LULC) classification using Pytorch!\n",
        "\n",
        "In this two-part tutorial, you will learn how to:\n",
        "- train a deep learning model for image classification using Pytorch ([Part 1](https://colab.research.google.com/drive/1VI8kVLjJMSabIt9Bu4di_zYe9LtrMO5L?usp=sharing))\n",
        "- generate land use and land cover maps using Python GIS ([Part 2](https://colab.research.google.com/drive/13I1wZT7thBlNdGA1tFQrK1MlRhMZMnpM?usp=sharing))\n",
        "\n",
        "You can make a copy of this tutorial by File→Save a copy in Drive."
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Table of Contents\n",
        "\n",
        "\n",
        "*   [Overview](#overview)\n",
        "*   [Climate Impact](#climate-impact)\n",
        "*   [Target Audience](#target-audience)\n",
        "*   [Background & Prerequisites](#background-and-prereqs)\n",
        "*   [Software Requirements](#software-requirements)\n",
        "*   [Data Description](#data-description)\n",
        "*   [Methodology](#methodology)\n",
        "*   [Results & Discussion](#results-and-discussion)\n",
        "*   [References](#references)"
      ],
      "metadata": {
        "id": "gchK901cq3hN"
      }
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Nuv5XES8Ejc_"
      },
      "source": [
        "<a name=\"overview\"></a>\n",
        "# Overview\n",
        "This tutorial covers an introduction to image classification using Pytorch for land use and land cover (LULC) mapping.\n",
        "\n",
        "Specifically, you will learn how to:\n",
        "- classify satellite images into 10 LULC categories using the [EuroSAT dataset](https://arxiv.org/abs/1709.00029)\n",
        "- fine-tune a Resnet-50 CNN model for image classification\n",
        "- save and load trained models in Pytorch\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "<a name=\"climate-impact\"></a>\n",
        "# Climate Impact\n",
        "A [report](https://www.wri.org/insights/7-things-know-about-ipccs-special-report-climate-change-and-land) by the World Resources Institute (WRI) states that about 23% of global human-caused GHG emissions come from land uses such as agriculture, forestry, and urban expansion. Land use change such as deforestation and land degradation are among the primary drivers of these emissions. Rapid urbanization leading to an increase in built-up areas as well as a massive loss of terrestrial carbon storage can also result in large carbon emissions.\n",
        "\n",
        "Mapping the extent of land use and land cover categories over time is essential for better environmental monitoring, urban planning and nature protection. For example, monitoring changes in forest cover and identifying drivers of forest loss can be useful for forest conservation and restoration efforts. Assessing the vulnerability of certain land cover types, such as settlements and agricultural land, to certain risks can also be useful for for disaster risk reduction planning as well as long-term climate adaptation efforts.\n",
        "\n",
        "With the increasing availability of earth observation data coupled with recent advanced in computer vision, AI & EO has paved the way for the potential to map land use and land cover at an unprecedented scale. In this tutorial, we will explore the use of Sentinel-2 satellite images and deep learning models in Pytorch to automate LULC mapping.\n",
        "\n",
        "<br>\n",
        "<center><p><p> <img src=\"https://ptes.org/wp-content/uploads/2018/04/iStock-664630460-e1524839082464.jpg\" alt=\"alt\" width=\"50%\"/>\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "id": "6yqHcIOjZD2c"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "<a name=\"target-audience\"></a>\n",
        "# Target Audience\n",
        "This tutorial is intended for experienced and aspiring data scientists looking for concrete examples of the applications of deep learning in climate change. We expect users to have some background in machine learning, including neural networks. But don't worry if you are new to these topics! We will provide additional resources and external links below for you to further study."
      ],
      "metadata": {
        "id": "xyb28HbsrcLJ"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "<a name=\"background-and-prereqs\"></a>\n",
        "## Background and Prerequisites\n",
        "For a refresher on neural networks, feel free to check out the video below by [3Blue1Brown](https://www.youtube.com/c/3blue1brown).\n",
        "\n",
        "We also highly recommend [Stanford's lecture collection](https://www.youtube.com/playlist?list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv) on convolutional neural networks (CNNs) for visual recognition. The deep learning specialization courses at [deeplearning.ai](https://www.deeplearning.ai/courses/) also provide an in-depth introduction to ANNs, CNNs, sequence models, and other deep learning concepts."
      ],
      "metadata": {
        "id": "AaV01KXRrGAe"
      }
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 322
        },
        "id": "HxshqdcpvvHB",
        "outputId": "9e6a661e-1fbe-4581-cbdb-d2466c961b84"
      },
      "source": [
        "from IPython.display import YouTubeVideo\n",
        "YouTubeVideo('P28LKWTzrI')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<IPython.lib.display.YouTubeVideo at 0x7f392ad760d0>"
            ],
            "text/html": [
              "\n",
              "        <iframe\n",
              "            width=\"400\"\n",
              "            height=\"300\"\n",
              "            src=\"https://www.youtube.com/embed/aircAruvnKk\"\n",
              "            frameborder=\"0\"\n",
              "            allowfullscreen\n",
              "        ></iframe>\n",
              "        "
            ],
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\n"
          },
          "metadata": {},
          "execution_count": 1
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "<a name=\"software-requirements\"></a>\n",
        "# Software Requirements\n",
        "\n",
        "This notebook requires Python >= 3.7. The following libraries are required:\n",
        "*   tqdm\n",
        "*   pandas\n",
        "*   numpy\n",
        "*   matplotlib\n",
        "*   pytorch"
      ],
      "metadata": {
        "id": "PMhFV8gzrqO-"
      }
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "H08M_-5iEbc1"
      },
      "source": [
        "## Enabling GPU in Google Colab\n",
        "Before we start, you will need access to a GPU.  Fortunately, Google Colab provides free access to computing resources including GPUs. The GPUs currently available in Colab include Nvidia K80s, T4s, P4s and P100s. Unfortunately, there is no way to choose what type of GPU you can connect to in Colab. [See here for information](https://research.google.com/colaboratory/faq.html#gpu-availability).\n",
        "\n",
        "To enable GPU in Google Colab:\n",
        "1. Navigate to Edit→Notebook Settings or Runtime→Change Runtime Type.\n",
        "2. Select GPU from the Hardware Accelerator drop-down."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Qw688STi6Z6k"
      },
      "source": [
        "# Standard libraries\n",
        "import os\n",
        "import random\n",
        "from tqdm.notebook import tqdm\n",
        "\n",
        "# Data manipulation and visualization\n",
        "import matplotlib.pyplot as plt\n",
        "from PIL import Image\n",
        "import seaborn as sns\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "\n",
        "# Deep Learning libraries\n",
        "import torch\n",
        "import torchvision\n",
        "import torchsummary\n",
        "from torch.utils import data\n",
        "from torchvision import datasets, models, transforms\n",
        "\n",
        "# Set seed for reproducibility\n",
        "SEED = 42\n",
        "np.random.seed(SEED)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8ffVUKx7P6RD"
      },
      "source": [
        "## Google Colab GPU\n",
        "Check that the GPU  enabled in your colab notebook by running the cell below."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GPzhNed7P2i9",
        "outputId": "b2a99620-c598-455c-c99f-566363ece64f"
      },
      "source": [
        "# Check is GPU is enabled\n",
        "device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")\n",
        "print(\"Device: {}\".format(device))\n",
        "\n",
        "# Get specific GPU model\n",
        "if str(device) == \"cuda:0\":\n",
        "  print(\"GPU: {}\".format(torch.cuda.get_device_name(0)))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Device: cuda:0\n",
            "GPU: Tesla T4\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qL9_-2ilI0qv"
      },
      "source": [
        "## Mount Drive\n",
        "\n",
        "Mounting the drive will allow the Google Colab notebook to load and access files from your Google drive."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "P79X72ZCI2TA",
        "outputId": "4ad85787-b454-4852-8252-cb519c504670"
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive', force_remount=True)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xIQAlBV9GbCZ"
      },
      "source": [
        "<a name=\"data-description\"></a>\n",
        "# Data Description\n",
        "\n",
        "In this section, you will learn how to:\n",
        "- Download the EuroSAT dataset into your Google Drive\n",
        "- Generate the train and test sets by splitting the EuroSAT dataset\n",
        "- Visualize a sample of the images and their LULC labels"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rK0AM2bWGxsw"
      },
      "source": [
        "## EuroSAT Dataset\n",
        "The [EuroSAT dataset](https://github.com/phelber/EuroSAT) contains 27,000 labelled 64x64 pixel Sentinel-2 satellite image patches with 10 different LULC categories. Both RGB and multi-spectral (MS) images are available for download. For simplicity, we will focus on RGB image classification."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_GNyqemwGwr9",
        "outputId": "2d7122c4-2121-4aca-d634-200836eb11ac"
      },
      "source": [
        "!wget http://madm.dfki.de/files/sentinel/EuroSAT.zip -O EuroSAT.zip\n",
        "!unzip -q EuroSAT.zip -d 'EuroSAT/'\n",
        "!rm EuroSAT.zip"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "--2023-04-20 13:33:57--  http://madm.dfki.de/files/sentinel/EuroSAT.zip\n",
            "Resolving madm.dfki.de (madm.dfki.de)... 131.246.195.183\n",
            "Connecting to madm.dfki.de (madm.dfki.de)|131.246.195.183|:80... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 94280567 (90M) [application/zip]\n",
            "Saving to: ‘EuroSAT.zip’\n",
            "\n",
            "EuroSAT.zip         100%[===================>]  89.91M  25.6MB/s    in 3.5s    \n",
            "\n",
            "2023-04-20 13:34:01 (25.6 MB/s) - ‘EuroSAT.zip’ saved [94280567/94280567]\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qp_i70hQ-ZcX"
      },
      "source": [
        "## Generate Train and Test Sets\n",
        "\n",
        "### Create Custom Dataset Class\n",
        "In Pytorch, the `Dataset` class allows you to define a custom class to load the input and target for a dataset.  We will use this capability to load in our inputs in the form of RGB satellite images along with their corresponding labels. Later we'll learn how to apply necessary image transformations (see next section)."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SsK-rDJyUFpV"
      },
      "source": [
        "class EuroSAT(data.Dataset):\n",
        "    def __init__(self, dataset, transform=None):\n",
        "        self.dataset = dataset\n",
        "        self.transform = transform\n",
        "\n",
        "    def __getitem__(self, index):\n",
        "        # Apply image transformations\n",
        "        if self.transform:\n",
        "            x = self.transform(dataset[index][0])\n",
        "        else:\n",
        "            x = dataset[index][0]\n",
        "        # Get class label\n",
        "        y = dataset[index][1]\n",
        "        return x, y\n",
        "\n",
        "    def __len__(self):\n",
        "        return len(dataset)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "H9bbA-_d-Vis"
      },
      "source": [
        "### Data Augmentation\n",
        "\n",
        "Data augmentation is a  technique that randomly applies image transformations, e.g. crops, horizontal flips, and vertical flips, to the input images during model training. These perturbations reduce the neural network's overfitting to the training dataset, and they allow it to generalize better to the unseen test dataset.\n",
        "<br><br>\n",
        "<center> <img src=\"https://www.researchgate.net/publication/319413978/figure/fig2/AS:533727585333249@1504261980375/Data-augmentation-using-semantic-preserving-transformation-for-SBIR.png\" width=\"400\"/>\n",
        "</center>\n",
        "<br>\n",
        "<font size=2>Image Source: Ahmad, Jamil & Muhammad, Khan & Baik, Sung. (2017). Data augmentation-assisted deep learning of hand-drawn partially colored sketches for visual search. PLOS ONE. 12. e0183838. 10.1371/journal.pone.0183838. </font>\n",
        "<br>\n",
        "\n",
        "\n",
        "### Image Normalization\n",
        "Additionally, in the cell below, the `transforms.Normalize` method normalizes each of the three channels to the given means and standard deviations defined in the `imagenet_mean` and `imagenet_std` variables. ImageNet is a large training dataset of images and labels.  Later in this tutorial, we will be using a model pre-trained on this dataset.  In order to use this pre-trained model for our LULC dataset, we need to ensure that the input dataset is normalized to have the same statistics (mean and standard deviation) as ImageNet.\n",
        "\n",
        "<br>\n",
        "<center> <img src=\"https://cv.gluon.ai/_images/imagenet_banner.jpeg\" width=\"400\"/>\n",
        "<br>\n",
        "<font size=2>Image Source: https://cv.gluon.ai/build/examples_datasets/imagenet.html </font>\n",
        "<br>\n",
        "</center>\n",
        "\n",
        "Existing research has found that using models pretrained on massive datasets, such as ImageNet, improves accuracy when applying these neural networks to new datasets.  Pre-trained models serve as excellent generic feature extractors.  [Please read here for more information](https://pytorch.org/tutorials/beginner/finetuning_torchvision_models_tutorial.html)."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "osNVdWjtIQMK"
      },
      "source": [
        "input_size = 224\n",
        "imagenet_mean, imagenet_std = [0.485, 0.456, 0.406], [0.229, 0.224, 0.225]\n",
        "\n",
        "train_transform = transforms.Compose([\n",
        "    transforms.RandomResizedCrop(input_size),\n",
        "    transforms.RandomHorizontalFlip(),\n",
        "    transforms.RandomVerticalFlip(),\n",
        "    transforms.ToTensor(),\n",
        "    transforms.Normalize(imagenet_mean, imagenet_std)\n",
        "])\n",
        "\n",
        "test_transform = transforms.Compose([\n",
        "    transforms.Resize(input_size),\n",
        "    transforms.CenterCrop(input_size),\n",
        "    transforms.ToTensor(),\n",
        "    transforms.Normalize(imagenet_mean, imagenet_std)\n",
        "])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "G-H1Y1rHVz8t"
      },
      "source": [
        "### Load EuroSAT Dataset\n",
        "Let's start by loading the EuroSAT dataset using torch's `ImageFolder` class.\n",
        "\n",
        "`ImageFolder` is a generic data loader where the images are arranged in this way:\n",
        "\n",
        "```\n",
        "    data\n",
        "    └───AnnualCrop\n",
        "    │   │   AnnualCrop_1.jpg\n",
        "    │   │   AnnualCrop_2.jpg\n",
        "    │   │   AnnualCrop_3.jpg\n",
        "    │   │   ...\n",
        "    └───Forest\n",
        "    │   │   Forest_1.jpg\n",
        "    │   │   Forest_2.jpg\n",
        "    │   │   Forest_3.jpg\n",
        "    │   │   ...\n",
        "```\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "TM7hyGz3Ry8e",
        "outputId": "f1cef6c2-e1a2-4046-c1d9-17e8457d3c74"
      },
      "source": [
        "# Load the dataset\n",
        "data_dir = './EuroSAT/2750/'\n",
        "dataset = datasets.ImageFolder(data_dir)\n",
        "\n",
        "# Get LULC categories\n",
        "class_names = dataset.classes\n",
        "print(\"Class names: {}\".format(class_names))\n",
        "print(\"Total number of classes: {}\".format(len(class_names)))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Class names: ['AnnualCrop', 'Forest', 'HerbaceousVegetation', 'Highway', 'Industrial', 'Pasture', 'PermanentCrop', 'Residential', 'River', 'SeaLake']\n",
            "Total number of classes: 10\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "lY8oTO459LXo"
      },
      "source": [
        "### Split into Train and Test Sets\n",
        "Here, we split the dataset into a train set and test set. The training set will be 80% of the Eurosat dataset, randomly selected. The remaining 20% of the dataset will be our test set."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "s6_Jm_Vt89-L",
        "outputId": "703cbf37-5817-4776-9213-a64a13f38cf7"
      },
      "source": [
        "# Apply different transformations to the training and test sets\n",
        "train_data = EuroSAT(dataset, train_transform)\n",
        "test_data = EuroSAT(dataset, test_transform)\n",
        "\n",
        "# Randomly split the dataset into 80% train / 20% test\n",
        "# by subsetting the transformed train and test datasets\n",
        "train_size = 0.8\n",
        "indices = list(range(int(len(dataset))))\n",
        "split = int(train_size * len(dataset))\n",
        "np.random.shuffle(indices)\n",
        "\n",
        "train_data = data.Subset(train_data, indices=indices[:split])\n",
        "test_data = data.Subset(test_data, indices=indices[split:])\n",
        "print(\"Train/test sizes: {}/{}\".format(len(train_data), len(test_data)))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Train/test sizes: 21600/5400\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JTD1GGkR8Ss4"
      },
      "source": [
        "Finally, we use `torch`'s `DataLoader` class to create a dataloader.  The dataloader manages fetching samples from the datasets (it can even fetch them in parallel using `num_workers`) and assembles batches of the datasets."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LhoykOhv8LdN"
      },
      "source": [
        "num_workers = 2\n",
        "batch_size = 16\n",
        "\n",
        "train_loader = data.DataLoader(\n",
        "    train_data, batch_size=batch_size, num_workers=num_workers, shuffle=True\n",
        ")\n",
        "test_loader = data.DataLoader(\n",
        "    test_data, batch_size=batch_size, num_workers=num_workers, shuffle=False\n",
        ")"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BcjHBMnAawgS"
      },
      "source": [
        "## Visualize Data\n",
        "\n",
        "In the cell below, we will visualize a batch of the dataset.  The cell visualizes the input to the neural network (the RGB image) along with the associated label."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 675
        },
        "id": "qphYetp0ayIZ",
        "outputId": "323dc094-3ab7-4ac9-f4d2-0fcba5c3a37c"
      },
      "source": [
        "n = 4\n",
        "inputs, classes = next(iter(train_loader))\n",
        "fig, axes = plt.subplots(n, n, figsize=(8,8))\n",
        "\n",
        "for i in range(n):\n",
        "  for j in range(n):\n",
        "    image = inputs[i * n + j].numpy().transpose((1, 2, 0))\n",
        "    image = np.clip(np.array(imagenet_std) * image + np.array(imagenet_mean), 0, 1)\n",
        "\n",
        "    title = class_names[classes[i * n + j]]\n",
        "    axes[i, j].imshow(image)\n",
        "    axes[i, j].set_title(title)\n",
        "    axes[i, j].axis('off')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x800 with 16 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4O-ZKD5KqdMm"
      },
      "source": [
        "# Exploratory Data Analysis\n",
        "\n",
        "Next, let's explore our dataset a little bit more.  In particular, how many images of each class are included?"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 534
        },
        "id": "zhHebM9-qiAv",
        "outputId": "4a7b9969-d505-4bed-c2fa-343252912952"
      },
      "source": [
        "plt.figure(figsize=(8, 4))\n",
        "hist = sns.histplot(dataset.targets)\n",
        "\n",
        "hist.set_xticks(range(len(dataset.classes)))\n",
        "hist.set_xticklabels(dataset.classes, rotation=90)\n",
        "hist.set_title('Histogram of Dataset Classes in EuroSAT Dataset')\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x400 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "AZ3ef1a34gix"
      },
      "source": [
        "# Model Development\n",
        "\n",
        "## Instantiate Model\n",
        "\n",
        "First, let's instatiate the model.  To start, we will use a standard neural network architecture, called ResNet50. Based on [the work by Helber et al.](https://arxiv.org/pdf/1709.00029.pdf), ResNet-50 has been shown to work well for LULC classification on the EuroSAT\n",
        "\n",
        "### ResNet-50\n",
        "<b>Recall</b>: Deep neural networks are difficult to train due to the problem of vanishing or exploding gradients (repeated multiplication making the gradient infinitively small). ResNet solves this by using shortcut connections that connect activation from an earlier layer to a further layer by skipping one or more layers as shown below. This allows for gradients to propagate to the deeper layers before they can be reduced to small or zero values.\n",
        "<br><br>\n",
        "\n",
        "<center> <img src=\"https://jananisbabu.github.io/ResNet50_From_Scratch_Tensorflow/images/resnet50.png\" width=\"600\"/><br>\n",
        "Image source: <a href=\"https://jananisbabu.github.io/ResNet50_From_Scratch_Tensorflow/\">https://jananisbabu.github.io/ResNet50_From_Scratch_Tensorflow/  </a>\n",
        "</center>\n",
        "<br>\n",
        "Note that when we load the model, we set the `pre-trained` flag to be True to indicate that the loaded model should be already pre-trained on the Imagenet dataset."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "gPXbNl_TLHQQ",
        "outputId": "090e7672-a0ad-4533-8a82-cb4bf6cf6273"
      },
      "source": [
        "model = models.resnet50(pretrained=True)\n",
        "model.fc = torch.nn.Linear(model.fc.in_features, len(dataset.classes))\n",
        "model = model.to(device)\n",
        "\n",
        "torchsummary.summary(model, (3, 224, 224))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.9/dist-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.9/dist-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=ResNet50_Weights.IMAGENET1K_V1`. You can also use `weights=ResNet50_Weights.DEFAULT` to get the most up-to-date weights.\n",
            "  warnings.warn(msg)\n",
            "Downloading: \"https://download.pytorch.org/models/resnet50-0676ba61.pth\" to /root/.cache/torch/hub/checkpoints/resnet50-0676ba61.pth\n",
            "100%|██████████| 97.8M/97.8M [00:00<00:00, 251MB/s]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "----------------------------------------------------------------\n",
            "        Layer (type)               Output Shape         Param #\n",
            "================================================================\n",
            "            Conv2d-1         [-1, 64, 112, 112]           9,408\n",
            "       BatchNorm2d-2         [-1, 64, 112, 112]             128\n",
            "              ReLU-3         [-1, 64, 112, 112]               0\n",
            "         MaxPool2d-4           [-1, 64, 56, 56]               0\n",
            "            Conv2d-5           [-1, 64, 56, 56]           4,096\n",
            "       BatchNorm2d-6           [-1, 64, 56, 56]             128\n",
            "              ReLU-7           [-1, 64, 56, 56]               0\n",
            "            Conv2d-8           [-1, 64, 56, 56]          36,864\n",
            "       BatchNorm2d-9           [-1, 64, 56, 56]             128\n",
            "             ReLU-10           [-1, 64, 56, 56]               0\n",
            "           Conv2d-11          [-1, 256, 56, 56]          16,384\n",
            "      BatchNorm2d-12          [-1, 256, 56, 56]             512\n",
            "           Conv2d-13          [-1, 256, 56, 56]          16,384\n",
            "      BatchNorm2d-14          [-1, 256, 56, 56]             512\n",
            "             ReLU-15          [-1, 256, 56, 56]               0\n",
            "       Bottleneck-16          [-1, 256, 56, 56]               0\n",
            "           Conv2d-17           [-1, 64, 56, 56]          16,384\n",
            "      BatchNorm2d-18           [-1, 64, 56, 56]             128\n",
            "             ReLU-19           [-1, 64, 56, 56]               0\n",
            "           Conv2d-20           [-1, 64, 56, 56]          36,864\n",
            "      BatchNorm2d-21           [-1, 64, 56, 56]             128\n",
            "             ReLU-22           [-1, 64, 56, 56]               0\n",
            "           Conv2d-23          [-1, 256, 56, 56]          16,384\n",
            "      BatchNorm2d-24          [-1, 256, 56, 56]             512\n",
            "             ReLU-25          [-1, 256, 56, 56]               0\n",
            "       Bottleneck-26          [-1, 256, 56, 56]               0\n",
            "           Conv2d-27           [-1, 64, 56, 56]          16,384\n",
            "      BatchNorm2d-28           [-1, 64, 56, 56]             128\n",
            "             ReLU-29           [-1, 64, 56, 56]               0\n",
            "           Conv2d-30           [-1, 64, 56, 56]          36,864\n",
            "      BatchNorm2d-31           [-1, 64, 56, 56]             128\n",
            "             ReLU-32           [-1, 64, 56, 56]               0\n",
            "           Conv2d-33          [-1, 256, 56, 56]          16,384\n",
            "      BatchNorm2d-34          [-1, 256, 56, 56]             512\n",
            "             ReLU-35          [-1, 256, 56, 56]               0\n",
            "       Bottleneck-36          [-1, 256, 56, 56]               0\n",
            "           Conv2d-37          [-1, 128, 56, 56]          32,768\n",
            "      BatchNorm2d-38          [-1, 128, 56, 56]             256\n",
            "             ReLU-39          [-1, 128, 56, 56]               0\n",
            "           Conv2d-40          [-1, 128, 28, 28]         147,456\n",
            "      BatchNorm2d-41          [-1, 128, 28, 28]             256\n",
            "             ReLU-42          [-1, 128, 28, 28]               0\n",
            "           Conv2d-43          [-1, 512, 28, 28]          65,536\n",
            "      BatchNorm2d-44          [-1, 512, 28, 28]           1,024\n",
            "           Conv2d-45          [-1, 512, 28, 28]         131,072\n",
            "      BatchNorm2d-46          [-1, 512, 28, 28]           1,024\n",
            "             ReLU-47          [-1, 512, 28, 28]               0\n",
            "       Bottleneck-48          [-1, 512, 28, 28]               0\n",
            "           Conv2d-49          [-1, 128, 28, 28]          65,536\n",
            "      BatchNorm2d-50          [-1, 128, 28, 28]             256\n",
            "             ReLU-51          [-1, 128, 28, 28]               0\n",
            "           Conv2d-52          [-1, 128, 28, 28]         147,456\n",
            "      BatchNorm2d-53          [-1, 128, 28, 28]             256\n",
            "             ReLU-54          [-1, 128, 28, 28]               0\n",
            "           Conv2d-55          [-1, 512, 28, 28]          65,536\n",
            "      BatchNorm2d-56          [-1, 512, 28, 28]           1,024\n",
            "             ReLU-57          [-1, 512, 28, 28]               0\n",
            "       Bottleneck-58          [-1, 512, 28, 28]               0\n",
            "           Conv2d-59          [-1, 128, 28, 28]          65,536\n",
            "      BatchNorm2d-60          [-1, 128, 28, 28]             256\n",
            "             ReLU-61          [-1, 128, 28, 28]               0\n",
            "           Conv2d-62          [-1, 128, 28, 28]         147,456\n",
            "      BatchNorm2d-63          [-1, 128, 28, 28]             256\n",
            "             ReLU-64          [-1, 128, 28, 28]               0\n",
            "           Conv2d-65          [-1, 512, 28, 28]          65,536\n",
            "      BatchNorm2d-66          [-1, 512, 28, 28]           1,024\n",
            "             ReLU-67          [-1, 512, 28, 28]               0\n",
            "       Bottleneck-68          [-1, 512, 28, 28]               0\n",
            "           Conv2d-69          [-1, 128, 28, 28]          65,536\n",
            "      BatchNorm2d-70          [-1, 128, 28, 28]             256\n",
            "             ReLU-71          [-1, 128, 28, 28]               0\n",
            "           Conv2d-72          [-1, 128, 28, 28]         147,456\n",
            "      BatchNorm2d-73          [-1, 128, 28, 28]             256\n",
            "             ReLU-74          [-1, 128, 28, 28]               0\n",
            "           Conv2d-75          [-1, 512, 28, 28]          65,536\n",
            "      BatchNorm2d-76          [-1, 512, 28, 28]           1,024\n",
            "             ReLU-77          [-1, 512, 28, 28]               0\n",
            "       Bottleneck-78          [-1, 512, 28, 28]               0\n",
            "           Conv2d-79          [-1, 256, 28, 28]         131,072\n",
            "      BatchNorm2d-80          [-1, 256, 28, 28]             512\n",
            "             ReLU-81          [-1, 256, 28, 28]               0\n",
            "           Conv2d-82          [-1, 256, 14, 14]         589,824\n",
            "      BatchNorm2d-83          [-1, 256, 14, 14]             512\n",
            "             ReLU-84          [-1, 256, 14, 14]               0\n",
            "           Conv2d-85         [-1, 1024, 14, 14]         262,144\n",
            "      BatchNorm2d-86         [-1, 1024, 14, 14]           2,048\n",
            "           Conv2d-87         [-1, 1024, 14, 14]         524,288\n",
            "      BatchNorm2d-88         [-1, 1024, 14, 14]           2,048\n",
            "             ReLU-89         [-1, 1024, 14, 14]               0\n",
            "       Bottleneck-90         [-1, 1024, 14, 14]               0\n",
            "           Conv2d-91          [-1, 256, 14, 14]         262,144\n",
            "      BatchNorm2d-92          [-1, 256, 14, 14]             512\n",
            "             ReLU-93          [-1, 256, 14, 14]               0\n",
            "           Conv2d-94          [-1, 256, 14, 14]         589,824\n",
            "      BatchNorm2d-95          [-1, 256, 14, 14]             512\n",
            "             ReLU-96          [-1, 256, 14, 14]               0\n",
            "           Conv2d-97         [-1, 1024, 14, 14]         262,144\n",
            "      BatchNorm2d-98         [-1, 1024, 14, 14]           2,048\n",
            "             ReLU-99         [-1, 1024, 14, 14]               0\n",
            "      Bottleneck-100         [-1, 1024, 14, 14]               0\n",
            "          Conv2d-101          [-1, 256, 14, 14]         262,144\n",
            "     BatchNorm2d-102          [-1, 256, 14, 14]             512\n",
            "            ReLU-103          [-1, 256, 14, 14]               0\n",
            "          Conv2d-104          [-1, 256, 14, 14]         589,824\n",
            "     BatchNorm2d-105          [-1, 256, 14, 14]             512\n",
            "            ReLU-106          [-1, 256, 14, 14]               0\n",
            "          Conv2d-107         [-1, 1024, 14, 14]         262,144\n",
            "     BatchNorm2d-108         [-1, 1024, 14, 14]           2,048\n",
            "            ReLU-109         [-1, 1024, 14, 14]               0\n",
            "      Bottleneck-110         [-1, 1024, 14, 14]               0\n",
            "          Conv2d-111          [-1, 256, 14, 14]         262,144\n",
            "     BatchNorm2d-112          [-1, 256, 14, 14]             512\n",
            "            ReLU-113          [-1, 256, 14, 14]               0\n",
            "          Conv2d-114          [-1, 256, 14, 14]         589,824\n",
            "     BatchNorm2d-115          [-1, 256, 14, 14]             512\n",
            "            ReLU-116          [-1, 256, 14, 14]               0\n",
            "          Conv2d-117         [-1, 1024, 14, 14]         262,144\n",
            "     BatchNorm2d-118         [-1, 1024, 14, 14]           2,048\n",
            "            ReLU-119         [-1, 1024, 14, 14]               0\n",
            "      Bottleneck-120         [-1, 1024, 14, 14]               0\n",
            "          Conv2d-121          [-1, 256, 14, 14]         262,144\n",
            "     BatchNorm2d-122          [-1, 256, 14, 14]             512\n",
            "            ReLU-123          [-1, 256, 14, 14]               0\n",
            "          Conv2d-124          [-1, 256, 14, 14]         589,824\n",
            "     BatchNorm2d-125          [-1, 256, 14, 14]             512\n",
            "            ReLU-126          [-1, 256, 14, 14]               0\n",
            "          Conv2d-127         [-1, 1024, 14, 14]         262,144\n",
            "     BatchNorm2d-128         [-1, 1024, 14, 14]           2,048\n",
            "            ReLU-129         [-1, 1024, 14, 14]               0\n",
            "      Bottleneck-130         [-1, 1024, 14, 14]               0\n",
            "          Conv2d-131          [-1, 256, 14, 14]         262,144\n",
            "     BatchNorm2d-132          [-1, 256, 14, 14]             512\n",
            "            ReLU-133          [-1, 256, 14, 14]               0\n",
            "          Conv2d-134          [-1, 256, 14, 14]         589,824\n",
            "     BatchNorm2d-135          [-1, 256, 14, 14]             512\n",
            "            ReLU-136          [-1, 256, 14, 14]               0\n",
            "          Conv2d-137         [-1, 1024, 14, 14]         262,144\n",
            "     BatchNorm2d-138         [-1, 1024, 14, 14]           2,048\n",
            "            ReLU-139         [-1, 1024, 14, 14]               0\n",
            "      Bottleneck-140         [-1, 1024, 14, 14]               0\n",
            "          Conv2d-141          [-1, 512, 14, 14]         524,288\n",
            "     BatchNorm2d-142          [-1, 512, 14, 14]           1,024\n",
            "            ReLU-143          [-1, 512, 14, 14]               0\n",
            "          Conv2d-144            [-1, 512, 7, 7]       2,359,296\n",
            "     BatchNorm2d-145            [-1, 512, 7, 7]           1,024\n",
            "            ReLU-146            [-1, 512, 7, 7]               0\n",
            "          Conv2d-147           [-1, 2048, 7, 7]       1,048,576\n",
            "     BatchNorm2d-148           [-1, 2048, 7, 7]           4,096\n",
            "          Conv2d-149           [-1, 2048, 7, 7]       2,097,152\n",
            "     BatchNorm2d-150           [-1, 2048, 7, 7]           4,096\n",
            "            ReLU-151           [-1, 2048, 7, 7]               0\n",
            "      Bottleneck-152           [-1, 2048, 7, 7]               0\n",
            "          Conv2d-153            [-1, 512, 7, 7]       1,048,576\n",
            "     BatchNorm2d-154            [-1, 512, 7, 7]           1,024\n",
            "            ReLU-155            [-1, 512, 7, 7]               0\n",
            "          Conv2d-156            [-1, 512, 7, 7]       2,359,296\n",
            "     BatchNorm2d-157            [-1, 512, 7, 7]           1,024\n",
            "            ReLU-158            [-1, 512, 7, 7]               0\n",
            "          Conv2d-159           [-1, 2048, 7, 7]       1,048,576\n",
            "     BatchNorm2d-160           [-1, 2048, 7, 7]           4,096\n",
            "            ReLU-161           [-1, 2048, 7, 7]               0\n",
            "      Bottleneck-162           [-1, 2048, 7, 7]               0\n",
            "          Conv2d-163            [-1, 512, 7, 7]       1,048,576\n",
            "     BatchNorm2d-164            [-1, 512, 7, 7]           1,024\n",
            "            ReLU-165            [-1, 512, 7, 7]               0\n",
            "          Conv2d-166            [-1, 512, 7, 7]       2,359,296\n",
            "     BatchNorm2d-167            [-1, 512, 7, 7]           1,024\n",
            "            ReLU-168            [-1, 512, 7, 7]               0\n",
            "          Conv2d-169           [-1, 2048, 7, 7]       1,048,576\n",
            "     BatchNorm2d-170           [-1, 2048, 7, 7]           4,096\n",
            "            ReLU-171           [-1, 2048, 7, 7]               0\n",
            "      Bottleneck-172           [-1, 2048, 7, 7]               0\n",
            "AdaptiveAvgPool2d-173           [-1, 2048, 1, 1]               0\n",
            "          Linear-174                   [-1, 10]          20,490\n",
            "================================================================\n",
            "Total params: 23,528,522\n",
            "Trainable params: 23,528,522\n",
            "Non-trainable params: 0\n",
            "----------------------------------------------------------------\n",
            "Input size (MB): 0.57\n",
            "Forward/backward pass size (MB): 286.55\n",
            "Params size (MB): 89.75\n",
            "Estimated Total Size (MB): 376.88\n",
            "----------------------------------------------------------------\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gGf__UVfNNOO"
      },
      "source": [
        "## Model Training and Evaluation\n",
        "\n",
        "We can now proceed to model training and evaluation.\n",
        "\n",
        "This section has three major parts:\n",
        "\n",
        "1. Specify the criterion, optimizer, and hyperparameters (e.g. n_epochs, learning rate, etc.).\n",
        "2. Train the model on the training set by updating its weights to minimize the loss function.\n",
        "3. Evaluate the model on the test set to observe performance on new, unseen data.\n",
        "4. Repeat steps 2 and 3 `n_epochs` times."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3waPRdOai7AB"
      },
      "source": [
        "In the next cell, we'll define our criterion and optimizer.\n",
        "\n",
        "### Cross Entropy Loss\n",
        "We define our loss as the cross-entropy loss, which measures the performance of a classification model whose output is a probability value between 0 and 1. Cross-entropy loss increases as the predicted probability diverges from the actual label. ([Source](https://ml-cheatsheet.readthedocs.io/en/latest/loss_functions.html))\n",
        "\n",
        "For two classes, it is computed as:\n",
        "\n",
        "$−ylog(p)-(1−y)log(1−p)$\n",
        "\n",
        "For multiclass classification with $M$ classes, it is defined as:\n",
        "\n",
        "$−\\sum_{c=1}^{M}y_{o,c}log(p_{o,c})$\n",
        "\n",
        "where\n",
        "\n",
        "- $M$ - number of classes (dog, cat, fish)\n",
        "- $log$ - the natural log\n",
        "- $y_{o,c}$ - binary indicator (0 or 1) if class label $c$ is the classification for observation $o$\n",
        "- $p_{o,c}$- predicted probability observation $o$ is of class $c$\n",
        "\n",
        "### Stochastic Gradient Descent\n",
        "Remember that the goal of stochastic gradient descent (SGD) is to minimize the loss function. To do this, it computes the slope (gradient) of the loss function at the current point and moves in the opposite direction of the slope towards the steepest descent.\n",
        "<center> <img src=\"https://miro.medium.com/max/1400/1*P7z2BKhd0R-9uyn9ThDasA.png\" width=\"350\"/><br>Image source:\n",
        "<a href=\"https://towardsdatascience.com/batch-mini-batch-stochastic-gradient-descent-7a62ecba642a\">https://towardsdatascience.com/batch-mini-batch-stochastic-gradient-descent-7a62ecba642a</a>\n",
        "</center>\n",
        "<br>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fap-QROui8Pr"
      },
      "source": [
        "n_epochs = 5\n",
        "lr = 1e-3 #1e-2, 1e-5\n",
        "\n",
        "# Specify criterion and optimizer\n",
        "criterion = torch.nn.CrossEntropyLoss()\n",
        "optimizer = torch.optim.SGD(model.parameters(), lr=lr)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Next. let's create our train function."
      ],
      "metadata": {
        "id": "par-N39lvb6Y"
      }
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eE4entSvNc2q"
      },
      "source": [
        "def train(model, dataloader, criterion, optimizer):\n",
        "  model.train()\n",
        "\n",
        "  running_loss = 0.0\n",
        "  running_total_correct = 0.0\n",
        "\n",
        "  for i, (inputs, labels) in enumerate(tqdm(dataloader)):\n",
        "    inputs = inputs.to(device)\n",
        "    labels = labels.to(device)\n",
        "\n",
        "    # Zero the parameter gradients\n",
        "    # Clear off previous weights in order\n",
        "    # to obtain updated weights.\n",
        "    optimizer.zero_grad()\n",
        "\n",
        "    # Forward pass\n",
        "    outputs = model(inputs)\n",
        "\n",
        "    # Compute the loss\n",
        "    loss = criterion(outputs, labels)\n",
        "\n",
        "    # Compute the gradients wrt the loss\n",
        "    loss.backward()\n",
        "\n",
        "    # Update the weights based on the\n",
        "    # internally stored gradients\n",
        "    optimizer.step()\n",
        "\n",
        "    # Calculate statistics\n",
        "    _, preds = torch.max(outputs, 1)\n",
        "\n",
        "    # Calculate running loss and accuracy\n",
        "    running_loss += loss.item() * inputs.size(0)\n",
        "    running_total_correct += torch.sum(preds == labels)\n",
        "\n",
        "  # Calculate epoch loss and accuracy\n",
        "  epoch_loss = running_loss / len(dataloader.dataset)\n",
        "  epoch_accuracy = (running_total_correct / len(dataloader.dataset)) * 100\n",
        "  print(\"Train Loss: {:.2f}; Accuracy: {:.2f}\".format(epoch_loss, epoch_accuracy))\n",
        "\n",
        "  return epoch_loss, epoch_accuracy"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9D2XrpGxtJ9w"
      },
      "source": [
        "Next, let's define the model evaluation function."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uvjKlBsNP_pF"
      },
      "source": [
        "def evaluate(model, dataloader, criterion):\n",
        "  model.eval()\n",
        "\n",
        "  running_loss = 0.0\n",
        "  running_total_correct = 0.0\n",
        "\n",
        "  for i, (inputs, labels) in enumerate(tqdm(dataloader)):\n",
        "    inputs = inputs.to(device)\n",
        "    labels = labels.to(device)\n",
        "\n",
        "    with torch.set_grad_enabled(False):\n",
        "      outputs = model(inputs)\n",
        "      loss = criterion(outputs, labels)\n",
        "      _, preds = torch.max(outputs, 1)\n",
        "\n",
        "    running_loss += loss.item() * inputs.size(0)\n",
        "    running_total_correct += torch.sum(preds == labels)\n",
        "\n",
        "  # Calculate epoch loss and accuracy\n",
        "  epoch_loss = running_loss / len(dataloader.dataset)\n",
        "  epoch_accuracy = (running_total_correct / len(dataloader.dataset)) * 100\n",
        "  print(\"Test Loss: {:.2f}; Accuracy: {:.2f}\".format(epoch_loss, epoch_accuracy))\n",
        "\n",
        "  return epoch_loss, epoch_accuracy"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FzTl0FX3tN8m"
      },
      "source": [
        "Putting it all together, we can now commence training and evaluation in the following cell."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 597,
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        },
        "id": "KNgDSfQDMSFI",
        "outputId": "b1e7bba3-b9b9-4780-dbff-dc93886483d2"
      },
      "source": [
        "# Keep track of the best loss and\n",
        "# best model weights with the lowest loss\n",
        "best_loss = np.inf\n",
        "best_model = None\n",
        "\n",
        "# Train and test over n_epochs\n",
        "for epoch in range(n_epochs):\n",
        "  print(\"Epoch {}\".format(epoch+1))\n",
        "  train(model, train_loader, criterion, optimizer)\n",
        "  test_loss, _ = evaluate(model, test_loader, criterion)\n",
        "\n",
        "  if test_loss < best_loss:\n",
        "    best_loss = test_loss\n",
        "    best_model= model.state_dict()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/1350 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "dc944fbc164b4eb4bbf1fbb1779b8adc"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Train Loss: 0.96; Accuracy: 72.23\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
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            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "116764a861404ac296200aea98e3de5a"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Test Loss: 0.29; Accuracy: 92.00\n",
            "Epoch 2\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/1350 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "acb8d58225384287a06ca27ffd613f90"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Train Loss: 0.45; Accuracy: 85.74\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/338 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "d38fd73b3bf143869eaa40bcb4fd189f"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Test Loss: 0.15; Accuracy: 95.70\n",
            "Epoch 3\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/1350 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "e27b198f006e40e9a058334e701f2368"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Train Loss: 0.35; Accuracy: 88.89\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/338 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "4586cb819a444778a4af2db93bc95d3c"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Test Loss: 0.14; Accuracy: 95.63\n",
            "Epoch 4\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/1350 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "7d798b58fcc149ff8e44e1955f0b36ac"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Train Loss: 0.32; Accuracy: 89.92\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/338 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "5d8f760fe0d746ac8728f166e1b7b5df"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Test Loss: 0.11; Accuracy: 96.83\n",
            "Epoch 5\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/1350 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "abd85e79a66046a2b37a648f3d99508c"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Train Loss: 0.28; Accuracy: 91.05\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/338 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "4cebc4d45dcb4629af10e35dc995f381"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Test Loss: 0.10; Accuracy: 97.02\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "14oPIiaqb-hI"
      },
      "source": [
        "## Save Model\n",
        "\n",
        "We can now save the model to our local Google drive as follows.\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "txqSMimEO5B1",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "4cd49a3f-90f3-468d-ad17-e341bd85dcd0"
      },
      "source": [
        "model_dir = \"./drive/My Drive/Colab Notebooks/models/\"\n",
        "if not os.path.exists(model_dir):\n",
        "  os.makedirs(model_dir)\n",
        "\n",
        "model_file = model_dir + 'best_model.pth'\n",
        "torch.save(best_model, model_file)\n",
        "print('Model successfully saved to {}'.format(model_file))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Model successfully saved to ./drive/My Drive/Colab Notebooks/models/best_model.pth\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zeqCoai8hcYr"
      },
      "source": [
        "## Load Model\n",
        "Here we show you how to load the saved model from the previous step."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "oRRJ0vlCheDD",
        "outputId": "137e83f7-39a5-4eb6-bb50-b22706ad78e0"
      },
      "source": [
        "model_dir = \"./drive/My Drive/Colab Notebooks/models/\"\n",
        "model_file = os.path.join(model_dir, 'best_model.pth')\n",
        "\n",
        "# Uncomment this to download the model file\n",
        "#if not os.path.isfile(model_file):\n",
        "#  model_file = 'best_model.pth'\n",
        "#  !gdown \"13AFOESwxKmexCoOeAbPSX_wr-hGOb9YY\"\n",
        "\n",
        "model = models.resnet50(pretrained=True)\n",
        "num_ftrs = model.fc.in_features\n",
        "model.fc = torch.nn.Linear(num_ftrs, 10)\n",
        "model.load_state_dict(torch.load(model_file))\n",
        "model.eval()\n",
        "\n",
        "print('Model file {} successfully loaded.'.format(model_file))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=13AFOESwxKmexCoOeAbPSX_wr-hGOb9YY\n",
            "To: /content/best_model.pth\n",
            "100% 94.4M/94.4M [00:02<00:00, 40.1MB/s]\n",
            "Model file best_model.pth successfully loaded.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "G6c20o6xcnZ6"
      },
      "source": [
        "<a name=\"results-and-discussion\"></a>\n",
        "# Results & Discussion\n",
        "\n",
        "Let's visualize an example of the neural network making a prediction."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 411
        },
        "id": "77fAZ7xEglBX",
        "outputId": "da20f6a2-e5e7-4757-ea77-6ecd237f75c1"
      },
      "source": [
        "# Retrieve sample image\n",
        "index = 10\n",
        "image, label = test_data[index]\n",
        "\n",
        "# Predict on sample\n",
        "output = model(image.unsqueeze(0))\n",
        "_, pred = torch.max(output, 1)\n",
        "\n",
        "# Get corresponding class label\n",
        "label = class_names[label]\n",
        "pred = class_names[pred[0]]\n",
        "\n",
        "# Visualize sample and prediction\n",
        "image = image.cpu().numpy().transpose((1, 2, 0))\n",
        "image = np.clip(np.array(imagenet_std) * image + np.array(imagenet_mean), 0, 1)\n",
        "\n",
        "fig, ax = plt.subplots(figsize=(4, 4))\n",
        "ax.imshow(image)\n",
        "ax.set_title(\"Predicted class: {}\\nActual Class: {}\".format(pred, label));"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 400x400 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PvUL5a5Gp5fC"
      },
      "source": [
        "Here, we show how to run the model on a PIL image."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 391
        },
        "id": "YuMyKEFjdvvn",
        "outputId": "ceff7805-26dd-47c5-f52b-4380c351f445"
      },
      "source": [
        "from PIL import Image\n",
        "image_path = './EuroSAT/2750/Forest/Forest_2.jpg'\n",
        "image = Image.open(image_path)\n",
        "\n",
        "# Transform image\n",
        "input = test_transform(image)\n",
        "\n",
        "# Predict on sample\n",
        "output = model(input.unsqueeze(0))\n",
        "\n",
        "# Get corresponding class label\n",
        "_, pred = torch.max(output, 1)\n",
        "pred = class_names[pred[0]]\n",
        "\n",
        "# Visualize results\n",
        "fig, ax = plt.subplots(figsize=(4,4))\n",
        "ax.imshow(image)\n",
        "ax.set_title(\"Predicted class: {}\".format(pred));"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 400x400 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Congrats on making it this far! Go to the next section, [Part 2: Automating Land Use and Land Cover Mapping using Python.](https://colab.research.google.com/drive/13I1wZT7thBlNdGA1tFQrK1MlRhMZMnpM?usp=sharing)."
      ],
      "metadata": {
        "id": "fObmOlAL0o6v"
      }
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rDHjiW4duNue"
      },
      "source": [
        "## Exercises (Optional)\n",
        "\n",
        "### Experiments for Model Improvement\n",
        "1. As an exercise, try exploring different CNN architectures. You can find more information on the different CNN classification models in Pytorch [here](https://pytorch.org/vision/0.8/models.html).\n",
        "2. Try out other types of data augmentation techniques. You can learn more about using Pytorch for data transformation and augmentation [in this link](https://pytorch.org/vision/main/transforms.html).\n",
        "3. Try implementing hyperparameter tuning, e.g tweaking the learning rate, number of epochs, and check for model improvement or degradation.\n",
        "\n",
        "### Exploring the Effects of Pre-training [For Advanced ML Practitioners]\n",
        "\n",
        "Earlier, we mentioned that we are using a pre-trained model to train the neural network on the Eurosat LULC dataset.  Let's explore how much pre-training helps in this next section.  As an exercise, try comparing the performance of three variants of the neural network:\n",
        "\n",
        "1. Fine-tuned: in this setup, the neural network uses a pre-trained set of weights as a starting point, and all the weights are updated as the model is trained.\n",
        "2. Fixed feature extractor: in this setup, the neural network uses a pre-trained set of weights as a starting point, and only the weights of the last layer are updated.\n",
        "3. Trained from scratch: this neural network uses no pre-trained weights."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NYk0TXtZ0G4Y"
      },
      "source": [
        "# References\n",
        "- Helber, P., Bischke, B., Dengel, A., & Borth, D. (2019). Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12(7), 2217-2226."
      ]
    }
  ]
}