MiSiCNet.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/BehnoodRasti/Unmixing_Tutorial_IEEE_IADF/blob/main/MiSiCNet.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "r7o5ergBHRAh"
      },
      "source": [
        "# Blind Unmixing - MiSiCNet\n",
        "\n",
        "Blind unmixing state-of-the-art deep learning architecture MiSiCNet for both endmembers and abundances estimation.\n",
        "\n",
        "---\n",
        "\n",
        "original implementation found at https://github.com/BehnoodRasti/MiSiCNet\n",
        "\n",
        "Published in\n",
        "\n",
        "B. Rasti, B. Koirala, P. Scheunders and J. Chanussot, \"MiSiCNet: Minimum Simplex Convolutional Network for Deep Hyperspectral Unmixing,\" in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-15, 2022, Art no. 5522815, doi: 10.1109/TGRS.2022.3146904.\n",
        "\n",
        "## Imports\n",
        "\n",
        "1. Clone required github repositories\n",
        "2. Import Python packages"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lpRj0oXLcev9",
        "outputId": "6a853fb5-865e-4158-bbad-33bfd5186c44"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Cloning into 'Unmixing_Tutorial_IEEE_IADF'...\n",
            "remote: Enumerating objects: 257, done.\u001b[K\n",
            "remote: Counting objects: 100% (14/14), done.\u001b[K\n",
            "remote: Compressing objects: 100% (11/11), done.\u001b[K\n",
            "remote: Total 257 (delta 6), reused 3 (delta 3), pack-reused 243\u001b[K\n",
            "Receiving objects: 100% (257/257), 59.23 MiB | 27.48 MiB/s, done.\n",
            "Resolving deltas: 100% (128/128), done.\n",
            "Cloning into 'MiSiCNet'...\n",
            "remote: Enumerating objects: 203, done.\u001b[K\n",
            "remote: Counting objects: 100% (2/2), done.\u001b[K\n",
            "remote: Total 203 (delta 1), reused 1 (delta 1), pack-reused 201\u001b[K\n",
            "Receiving objects: 100% (203/203), 18.78 MiB | 21.22 MiB/s, done.\n",
            "Resolving deltas: 100% (112/112), done.\n"
          ]
        }
      ],
      "source": [
        "!git clone https://github.com/BehnoodRasti/Unmixing_Tutorial_IEEE_IADF.git\n",
        "!git clone https://github.com/BehnoodRasti/MiSiCNet.git"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "b2KVrAW7KsTt",
        "outputId": "5648cea8-1137-48f0-bf25-71376f2e688b"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting munkres\n",
            "  Downloading munkres-1.1.4-py2.py3-none-any.whl (7.0 kB)\n",
            "Installing collected packages: munkres\n",
            "Successfully installed munkres-1.1.4\n"
          ]
        }
      ],
      "source": [
        "!pip install munkres"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "id": "xq03AzCDIVIq"
      },
      "outputs": [],
      "source": [
        "import matplotlib.pyplot as plt\n",
        "\n",
        "import os\n",
        "\n",
        "import numpy as np\n",
        "import torch\n",
        "import torch.optim\n",
        "import torch.nn as nn\n",
        "from tqdm.notebook import tqdm\n",
        "import scipy.io as sio\n",
        "import scipy.linalg\n",
        "\n",
        "from MiSiCNet.UtilityMine import *"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "id": "glw_eAfsKmzi"
      },
      "outputs": [],
      "source": [
        "from Unmixing_Tutorial_IEEE_IADF.utils.data import HSI\n",
        "from Unmixing_Tutorial_IEEE_IADF.utils.metrics import MeanSquareError as MSE\n",
        "from Unmixing_Tutorial_IEEE_IADF.utils.metrics import aRMSE as RMSE\n",
        "from Unmixing_Tutorial_IEEE_IADF.utils.metrics import SADDegrees as SAD\n",
        "from Unmixing_Tutorial_IEEE_IADF.utils.metrics import SRE\n",
        "from Unmixing_Tutorial_IEEE_IADF.utils.aligners import MunkresAbundancesAligner as Aligner\n",
        "from Unmixing_Tutorial_IEEE_IADF.utils.noises import AdditiveWhiteGaussianNoise as AWGN"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "atwybj12IV1P"
      },
      "source": [
        "## GPU parameters\n",
        "\n",
        "---"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "id": "GclfyE6jIhT6"
      },
      "outputs": [],
      "source": [
        "torch.backends.cudnn.enabled = True\n",
        "torch.backends.cudnn.benchmark =True\n",
        "dtype = torch.cuda.FloatTensor"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zgwnrJUuMaS1"
      },
      "source": [
        "## HSI Data\n",
        "\n",
        "---"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 894
        },
        "id": "QkstfaMuK4wM",
        "outputId": "affb30bc-ce72-465f-c9fc-9dac04e0191f"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Matlab data keys: dict_keys(['__header__', '__version__', '__globals__', 'Y', 'E', 'A', 'p', 'H', 'W', 'L', 'labels'])\n",
            "HSI => Sim1\n",
            "---------------------\n",
            "224 bands,\n",
            "105 lines, 105 samples, (11025 pixels),\n",
            "6 endmembers (['#0', '#1', '#2', '#3', '#4', '#5'])\n",
            "GlobalMinValue: 0.0, GlobalMaxValue: 1.0\n",
            "\n",
            "Y shape: (224, 11025)\n",
            "Desired SNR: 40\n",
            "Sigmas after normalization: 0.0668153104781061\n",
            "Sigma mean based on SNR: 0.09648830104929844\n",
            "Final sigmas value: 0.006446895792113846\n",
            "(224, 105, 105)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x432 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x288 with 12 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "hsi = HSI(\"Sim1.mat\")\n",
        "print(hsi)\n",
        "\n",
        "noise = AWGN()\n",
        "\n",
        "SNR = 40\n",
        "\n",
        "hsi.Y = noise.fit_transform(hsi.Y, SNR=SNR, seed=0)\n",
        "\n",
        "\n",
        "Y, _, _ = hsi()\n",
        "p1, nr1, nc1 = hsi.L, hsi.H, hsi.W\n",
        "rmax = hsi.p\n",
        "assert Y.shape == (p1, nr1 * nc1)\n",
        "img_np_gt = Y.reshape(p1, nr1, nc1)\n",
        "print(img_np_gt.shape)\n",
        "\n",
        "hsi.plot_endmembers()\n",
        "hsi.plot_abundances()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cCdMgIsLMeBj"
      },
      "source": [
        "## MiSiCNet\n",
        "\n",
        "---\n",
        "\n",
        "1. Data processing\n",
        "2. Model declaration\n",
        "3. Training"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 168,
          "referenced_widgets": [
            "e2df6d53978d44f4a828d85e86c68961",
            "e24c713fb267426cad0dd0bb38f0206d",
            "51be5a3058e4414c927c3049a9d901c1",
            "b2f5d6e3835e4eb1bdc7bd5f90e066ee",
            "a2b875f105ea4c699ebff25b2768d127",
            "df1b75cfd842450797d4458b326887bd",
            "d5dd2f960f714203a9b419e440803b40",
            "1f72b4da9eb84aaf9f676b79699bfd61",
            "280e4e7f1ee945e2951f4c8ba5df78e8",
            "5108736c92ef433aadcb921e0af7e002",
            "09b0a3190d26415f967ab1a341546fab",
            "87891f6bccd3439caf47a5386bff1d40",
            "643df4f4de2c46fb95d85193ec1a5462",
            "b321ebb532d44b3ba5271f55dc4a1a21",
            "2699c67b7e0a45b297317e22268fa2b5",
            "78f3f32f41414b0e91c6834a6de5de46",
            "b0ccfea9bef74a9990bc234007c65bc5",
            "d465478072dd4780959042b2d349bcb0",
            "edc07461914646c9b65a5ae9b7507353",
            "001a3bfdf5e244abbbd825d182eb6c5b",
            "ea2ae012d1524412aaf2b56b088268e3",
            "d88284bc828d4422bf70d147c669c867",
            "86fb6210ddf84d4a928abfb7d817674d",
            "db9b7ec55cb746c1adde9dfc4bed9ad7",
            "addfea1166894133967c87ed8950e2ab",
            "1ab9e506673443b8901b0508d9776990",
            "4690f596a43143528bcf3df538cd0d3b",
            "b9b87af075074bd8821fbbbb13e9c52a",
            "58489fe506e74c248b55b59b3174acd2",
            "11a6150ddcfc469ebc7ae52faae94575",
            "ccae1d6a298e4d558534410e9f865d7b",
            "58b7f38957494b48b615c6f1d6abf8d7",
            "6cc08797f7c84776a4c96bb519e4e343"
          ]
        },
        "id": "Q5zDnXjwf4QE",
        "outputId": "757f9ff1-ccda-4ee0-b52b-9577b98f796a"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/1 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "e2df6d53978d44f4a828d85e86c68961"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/1 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "87891f6bccd3439caf47a5386bff1d40"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/8000 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "86fb6210ddf84d4a928abfb7d817674d"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/container.py:204: UserWarning: Implicit dimension choice for softmax has been deprecated. Change the call to include dim=X as an argument.\n",
            "  input = module(input)\n"
          ]
        }
      ],
      "source": [
        "PLOT = False\n",
        "tol2=1\n",
        "save_result=False\n",
        "\n",
        "for fi in tqdm(range(1)):\n",
        "    for fj in tqdm(range(tol2)):\n",
        "\n",
        "        img_noisy_np = img_np_gt\n",
        "        img_resh=np.reshape(img_noisy_np,(p1,nr1*nc1))\n",
        "        V, SS, U = scipy.linalg.svd(img_resh, full_matrices=False)\n",
        "        PC=np.diag(SS)@U\n",
        "\n",
        "        img_resh_DN=V[:,:rmax]@V[:,:rmax].transpose(1,0)@img_resh\n",
        "        img_resh_np_clip=np.clip(img_resh_DN, 0, 1)\n",
        "        II,III = Endmember_extract(img_resh_np_clip,rmax)\n",
        "        E_np1=img_resh_np_clip[:,II]\n",
        "\n",
        "\n",
        "        INPUT = 'noise' \n",
        "        pad = 'reflection'\n",
        "        need_bias=True\n",
        "        OPT_OVER = 'net' \n",
        "        \n",
        "        # \n",
        "        LR1 = 0.001\n",
        "        show_every = 100\n",
        "        exp_weight=0.99\n",
        "        \n",
        "        num_iter1 = 8000 # Change this to 4000 and 6000 and report the results. \n",
        "        #num_iter1 = 500\n",
        "        nf=256 # This is the number filters; Change this to 128 and 68 and report aRMSE and SAD\n",
        "        #lambMV=100 # This is the MV regularization parameter. Change this to  .1, 1, and 10 and report aRMSE and SAD\n",
        "        lambMV=0.1\n",
        "        input_depth =  img_noisy_np.shape[0]\n",
        "        class CAE_EndEst(nn.Module):\n",
        "            def __init__(self):\n",
        "                super(CAE_EndEst, self).__init__()\n",
        "                self.conv1 = nn.Sequential(\n",
        "                    conv(input_depth, nf,3,1,bias=need_bias, pad=pad),\n",
        "                    nn.BatchNorm2d(nf,eps=1e-05, momentum=0.1, affine=True, track_running_stats=True),\n",
        "                    nn.LeakyReLU(0.1, inplace=True),\n",
        "                )\n",
        "                self.conv2 = nn.Sequential(\n",
        "                    conv(nf, nf,3,1,bias=need_bias, pad=pad),\n",
        "                    nn.BatchNorm2d(nf,eps=1e-05, momentum=0.1, affine=True, track_running_stats=True),\n",
        "                    nn.LeakyReLU(0.1, inplace=True),\n",
        "                )\n",
        "                self.conv3 = nn.Sequential(\n",
        "                    conv(input_depth, 4, 1,1,bias=need_bias, pad=pad),\n",
        "                    nn.BatchNorm2d(4,eps=1e-05, momentum=0.1, affine=True, track_running_stats=True),\n",
        "                    nn.LeakyReLU(0.1, inplace=True),\n",
        "                )\n",
        "                self.dconv2 = nn.Sequential(\n",
        "                    nn.Upsample(scale_factor=1),\n",
        "                    conv(260, nf, 3,1,bias=need_bias, pad=pad),\n",
        "                    nn.BatchNorm2d(nf,eps=1e-05, momentum=0.1, affine=True, track_running_stats=True),\n",
        "                    nn.LeakyReLU(0.1, inplace=True),\n",
        "                )\n",
        "        \n",
        "                self.dconv3 = nn.Sequential(\n",
        "                    nn.Upsample(scale_factor=1),\n",
        "                    conv(nf, rmax, 3,1,bias=need_bias, pad=pad),\n",
        "                    nn.BatchNorm2d(rmax,eps=1e-05, momentum=0.1, affine=True, track_running_stats=True),\n",
        "                    nn.Softmax(),\n",
        "                )\n",
        "                self.dconv4 = nn.Sequential(\n",
        "                    nn.Linear(rmax, p1,bias=False),\n",
        "                )\n",
        "            def forward(self, x):\n",
        "                x1 = self.conv3(x)\n",
        "                x = self.conv1(x)\n",
        "                x = torch.cat([x,x1], 1)\n",
        "                x = self.dconv2(x)\n",
        "                x2 = self.dconv3(x)\n",
        "                x3 = torch.transpose(x2.view((rmax,nr1*nc1)),0,1)\n",
        "                x3 = self.dconv4(x3)\n",
        "                return x2,x3\n",
        "\n",
        "        net1 = CAE_EndEst()\n",
        "        net1.cuda()\n",
        "        \n",
        "        # Loss\n",
        "        def my_loss(target, End2, lamb, out_):\n",
        "            loss1 = 0.5*torch.norm((out_.transpose(1,0).view(1,p1,nr1,nc1) - target), 'fro')**2\n",
        "            O = torch.mean(target.view(p1,nr1*nc1),1).type(dtype).view(p1,1)\n",
        "            B = torch.from_numpy(np.identity(rmax)).type(dtype)\n",
        "            loss2 = torch.norm(torch.mm(End2,B.view((rmax,rmax)))-O, 'fro')**2\n",
        "            return loss1+lamb*loss2\n",
        "        img_noisy_torch = torch.from_numpy(img_resh_DN).view(1,p1,nr1,nc1).type(dtype)\n",
        "        net_input1 = get_noise(input_depth, INPUT,\n",
        "            (img_noisy_np.shape[1], img_noisy_np.shape[2])).type(dtype).detach()\n",
        "        E_torch = torch.from_numpy(E_np1).type(dtype)\n",
        "  \n",
        "        out_avg = True\n",
        "        \n",
        "        i = 0\n",
        "        def closure1():\n",
        "            \n",
        "            global i, out_LR_np, out_avg, out_avg_np, Eest,lambMV\n",
        "            \n",
        "            out_LR,out_spec = net1(net_input1)\n",
        "            # Smoothing\n",
        "            if out_avg is None:\n",
        "                out_avg = out_LR.detach()\n",
        "            else:\n",
        "                out_avg = out_avg * exp_weight + out_LR.detach() * (1 - exp_weight)\n",
        " \n",
        "            total_loss = my_loss(img_noisy_torch, net1.dconv4[0].weight,lambMV,out_spec)\n",
        "            total_loss.backward()\n",
        "         \n",
        "          \n",
        "\n",
        "            if  PLOT and i % show_every == 0:\n",
        "                out_LR_np = out_LR.detach().cpu().squeeze().numpy()\n",
        "                out_avg_np = out_avg.detach().cpu().squeeze().numpy()\n",
        "                out_LR_np = np.clip(out_LR_np, 0, 1)\n",
        "                out_avg_np = np.clip(out_avg_np, 0, 1)    \n",
        "                f, ((ax1, ax2)) = plt.subplots(1, 2, sharey=True, figsize=(10,10))\n",
        "                ax1.imshow(np.stack((out_LR_np[2,:,:],out_LR_np[1,:,:],out_LR_np[0,:,:]),2))\n",
        "                ax2.imshow(np.stack((out_avg_np[2,:,:],out_avg_np[1,:,:],out_avg_np[0,:,:]),2))\n",
        "                plt.show()                 \n",
        "            i += 1       \n",
        "            return total_loss\n",
        "        net1.dconv4[0].weight=torch.nn.Parameter(E_torch.view(p1,rmax))       \n",
        "        p11 = get_params(OPT_OVER, net1, net_input1)\n",
        "        optimizer = torch.optim.Adam(p11, lr=LR1, betas=(0.9, 0.999), eps=1e-8,\n",
        "                  weight_decay= 0, amsgrad=False)\n",
        "        for j in tqdm(range(num_iter1)):\n",
        "                optimizer.zero_grad()\n",
        "                closure1()  \n",
        "                optimizer.step()\n",
        "                net1.dconv4[0].weight.data[net1.dconv4[0].weight <= 0] = 0\n",
        "                net1.dconv4[0].weight.data[net1.dconv4[0].weight >= 1] = 1\n",
        "                if j>0:\n",
        "                  Eest=net1.dconv4[0].weight.detach().cpu().squeeze().numpy()\n",
        "                  if PLOT and j % show_every== 0: \n",
        "                    plt.plot(Eest)\n",
        "                    plt.show()\n",
        "                  \n",
        "        out_avg_np = out_avg.detach().cpu().squeeze().numpy()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8ue6rGjTMUTT"
      },
      "source": [
        "## Qualitative results\n",
        "\n",
        "---"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 631
        },
        "id": "220OUxWEL7kX",
        "outputId": "f8ffc52b-a536-4562-bcf2-f355fb39ff9f"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x432 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x288 with 12 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "E0 = Eest\n",
        "A0 = out_avg_np.reshape(hsi.p, hsi.N)\n",
        "\n",
        "# Plot results\n",
        "hsi.plot_endmembers(E0=E0)\n",
        "hsi.plot_abundances(A0=A0)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YnVznLZHMPY_"
      },
      "source": [
        "## Endmembers alignment\n",
        "\n",
        "---\n",
        "\n",
        "At this stage we need to align the endmembers and the abundances to compute the RMSE and SAD metrics."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 631
        },
        "id": "iPQPXYXEMGg7",
        "outputId": "94e5f33f-1d39-4e0b-ba23-f360db9f7d5c"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x432 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x288 with 12 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "# Select a criterion to perform alignment\n",
        "criterion = MSE()\n",
        "\n",
        "# Select an aligner to perform alignment\n",
        "aligner = Aligner(hsi=hsi, criterion=criterion)\n",
        "\n",
        "A1 = aligner.fit_transform(A0)\n",
        "E1 = aligner.transform_endmembers(E0)\n",
        "\n",
        "# Plot alignment\n",
        "hsi.plot_endmembers(E0=E1)\n",
        "hsi.plot_abundances(A0=A1)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pMfYn9NuNCSo"
      },
      "source": [
        "## Quantitative results\n",
        "\n",
        "---\n",
        "\n",
        "We are now in shape to compute the abundances RMSE and endmembers SAD."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "PRwqikJaNOje",
        "outputId": "890a63c1-9394-44e3-8548-dde47d0876a2"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "RMSE => 1.39\n",
            "SAD => 2.01\n",
            "SRE => 22.50\n"
          ]
        }
      ],
      "source": [
        "# Instantiate metrics\n",
        "rmse = RMSE()\n",
        "sad = SAD()\n",
        "sre = SRE()\n",
        "\n",
        "# Compute final numbers\n",
        "print(f\"RMSE => {rmse(hsi.A, A1):.2f}\")\n",
        "print(f\"SAD => {sad(hsi.E, E1):.2f}\")\n",
        "print(f\"SRE => {sre(A1, hsi.A):.2f}\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ft86b4unrOtD"
      },
      "source": [
        "### Results for each material"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "xD7bce7wrQLJ"
      },
      "outputs": [],
      "source": [
        "# Change the following line if you change dataset!\n",
        "# Either comment out or describe each material name.\n",
        "hsi.labels = [\"Road\", \"Tree\", \"Roof\", \"Water\"]\n",
        "assert len(hsi.labels) == hsi.p\n",
        "\n",
        "for ii, label in enumerate(hsi.labels):\n",
        "    a, ahat = hsi.A[ii], A1[ii]\n",
        "    print(f\"RMSE ({label}) => {rmse(a, ahat):.2f}\")\n",
        "\n",
        "print(\"-\" * 15)\n",
        "\n",
        "for ii, label in enumerate(hsi.labels):\n",
        "    e, ehat = hsi.E[:, ii][:, None], E1[:, ii][:, None]\n",
        "    print(f\"SAD ({label}) => {sad(e, ehat):.2f}\")"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "provenance": [],
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