CVTDehazer.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VCoOJXvlDPLi"
      },
      "source": [
        "### Single Image Dehazing with Convolutional Vision Transformer (CVT)\n",
        "This project implements a Single Image Dehazing model using a Convolutional Vision Transformer (CVT). The model is designed to remove haze from images, thereby enhancing the clarity and quality of the visual content.\n",
        "\n",
        "### Mustafa Shabazi Dill - TMU\n",
        "- [Github]([link]https://github.com/mrdjango/CVT-Dehazer.git)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JlA2YbqHxlKf"
      },
      "source": [
        "Dataset: [RESIDE-6K]([link]https://drive.google.com/file/d/1yaY_trqGn-SNoy7mrX040KUU7xhTPvas/view?usp=sharing)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Importing the necessary libraries"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "FsNUBAWYa-c5"
      },
      "outputs": [
        {
          "ename": "ModuleNotFoundError",
          "evalue": "No module named 'torch'",
          "output_type": "error",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
            "Cell \u001b[0;32mIn[1], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mtorch\u001b[39;00m\n\u001b[1;32m      2\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mtorch\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mnn\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mnn\u001b[39;00m\n\u001b[1;32m      3\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mtorch\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mnn\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mfunctional\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mF\u001b[39;00m\n",
            "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'torch'"
          ]
        }
      ],
      "source": [
        "import torch\n",
        "import torch.nn as nn\n",
        "import torch.nn.functional as F\n",
        "try:\n",
        "  from einops import rearrange\n",
        "except:\n",
        "  !pip install einops\n",
        "  from einops import rearrange\n",
        "import os\n",
        "import pandas as pd\n",
        "import cv2\n",
        "import random\n",
        "import numpy as np\n",
        "from torch.utils.data import Dataset, DataLoader\n",
        "from torchvision import transforms\n",
        "import torch.optim as optim\n",
        "import math\n",
        "from skimage.metrics import peak_signal_noise_ratio, structural_similarity"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 33,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FvXSO2zduoWH",
        "outputId": "bfd534dd-aaa6-4848-ff6b-fa3a1e4778e8"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ]
        }
      ],
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## unzip the dataset"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 34,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0_C5pMXwvILT",
        "outputId": "7bcacb4b-faab-4c4a-bb3d-1d41b493a77c"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
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          ]
        }
      ],
      "source": [
        "!unzip /content/drive/MyDrive/dehaze_train.zip -d data/"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Implementing the model and blocks of the CVT"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 47,
      "metadata": {
        "id": "4Vn0IJkla_fu"
      },
      "outputs": [],
      "source": [
        "class ConvolutionalAttention(nn.Module):\n",
        "    def __init__(self, dim, num_heads):\n",
        "        super().__init__()\n",
        "        self.num_heads = num_heads\n",
        "        self.qkv = nn.Conv2d(dim, dim * 3, kernel_size=1, bias=False)\n",
        "        self.proj = nn.Conv2d(dim, dim, kernel_size=1)\n",
        "\n",
        "    def forward(self, x):\n",
        "        B, C, H, W = x.shape\n",
        "        qkv = self.qkv(x).reshape(B, 3, self.num_heads, C // self.num_heads, H, W)\n",
        "        q, k, v = qkv.unbind(1)\n",
        "\n",
        "        attn = (q.transpose(-2, -1) @ k).softmax(dim=-1)\n",
        "        x = (attn @ v.transpose(-2, -1)).transpose(-2, -1)\n",
        "        x = x.reshape(B, C, H, W)\n",
        "        x = self.proj(x)\n",
        "        return x\n",
        "\n",
        "class CVTBlock(nn.Module):\n",
        "    def __init__(self, dim, num_heads, mlp_ratio=4.):\n",
        "        super().__init__()\n",
        "        self.norm1 = nn.BatchNorm2d(dim)\n",
        "        self.attn = ConvolutionalAttention(dim, num_heads)\n",
        "        self.norm2 = nn.BatchNorm2d(dim)\n",
        "        self.mlp = nn.Sequential(\n",
        "            nn.Conv2d(dim, int(dim * mlp_ratio), 1),\n",
        "            nn.GELU(),\n",
        "            nn.Conv2d(int(dim * mlp_ratio), dim, 1)\n",
        "        )\n",
        "\n",
        "    def forward(self, x):\n",
        "        x = x + self.attn(self.norm1(x))\n",
        "        x = x + self.mlp(self.norm2(x))\n",
        "        return x\n",
        "\n",
        "class CVTLayer(nn.Module):\n",
        "    def __init__(self, dim, depth, num_heads, mlp_ratio=4.):\n",
        "        super().__init__()\n",
        "        self.blocks = nn.ModuleList([\n",
        "            CVTBlock(dim, num_heads, mlp_ratio) for _ in range(depth)\n",
        "        ])\n",
        "\n",
        "    def forward(self, x):\n",
        "        for blk in self.blocks:\n",
        "            x = blk(x)\n",
        "        return x\n",
        "\n",
        "class PatchEmbed(nn.Module):\n",
        "    def __init__(self, patch_size=4, in_chans=3, embed_dim=96):\n",
        "        super().__init__()\n",
        "        self.proj = nn.Conv2d(in_chans, embed_dim, kernel_size=patch_size, stride=patch_size)\n",
        "\n",
        "    def forward(self, x):\n",
        "        x = self.proj(x)\n",
        "        return x\n",
        "\n",
        "class SimpleCVT(nn.Module):\n",
        "    def __init__(self, img_size=256, patch_size=4, embed_dim=96, depth=3, num_heads=4, mlp_ratio=4.):\n",
        "        super().__init__()\n",
        "        self.patch_embed = PatchEmbed(patch_size=patch_size, in_chans=3, embed_dim=embed_dim)\n",
        "        self.encoder = CVTLayer(dim=embed_dim, depth=depth, num_heads=num_heads, mlp_ratio=mlp_ratio)\n",
        "        self.decoder = nn.ConvTranspose2d(embed_dim, 3, kernel_size=patch_size, stride=patch_size)\n",
        "\n",
        "    def forward(self, x):\n",
        "        x = self.patch_embed(x)\n",
        "        x = self.encoder(x)\n",
        "        x = self.decoder(x)\n",
        "        return x\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "#### data augmentation"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 48,
      "metadata": {
        "id": "cWpTibHWbkU8"
      },
      "outputs": [],
      "source": [
        "def read_img(path):\n",
        "    img = cv2.imread(path, cv2.IMREAD_COLOR)\n",
        "    img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)\n",
        "    img = img.astype(np.float32) / 255.0\n",
        "    return img\n",
        "\n",
        "def augment(imgs, size=256, edge_decay=0., only_h_flip=False):\n",
        "    H, W, _ = imgs[0].shape\n",
        "    Hc, Wc = [size, size]\n",
        "\n",
        "    if random.random() < Hc / H * edge_decay:\n",
        "        Hs = 0 if random.randint(0, 1) == 0 else H - Hc\n",
        "    else:\n",
        "        Hs = random.randint(0, H - Hc)\n",
        "\n",
        "    if random.random() < Wc / W * edge_decay:\n",
        "        Ws = 0 if random.randint(0, 1) == 0 else W - Wc\n",
        "    else:\n",
        "        Ws = random.randint(0, W - Wc)\n",
        "\n",
        "    for i in range(len(imgs)):\n",
        "        imgs[i] = imgs[i][Hs:(Hs + Hc), Ws:(Ws + Wc), :].copy()\n",
        "\n",
        "    if random.randint(0, 1) == 1:\n",
        "        for i in range(len(imgs)):\n",
        "            imgs[i] = np.flip(imgs[i], axis=1).copy()\n",
        "\n",
        "    if not only_h_flip:\n",
        "        rot_deg = random.randint(0, 3)\n",
        "        for i in range(len(imgs)):\n",
        "            imgs[i] = np.rot90(imgs[i], rot_deg, (0, 1)).copy()\n",
        "\n",
        "    return imgs\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "#### PSNR and SSIM metrics"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 50,
      "metadata": {
        "id": "bXu2mDN8gPi-"
      },
      "outputs": [],
      "source": [
        "def calculate_psnr(img1, img2):\n",
        "    psnr = peak_signal_noise_ratio(img1.cpu().detach().numpy(), img2.cpu().detach().numpy(), data_range=1.0) # Call detach() before converting to NumPy array to avoid the error\n",
        "    return psnr\n",
        "\n",
        "def calculate_ssim(img1, img2):\n",
        "    ssim = structural_similarity(img1.cpu().detach().numpy().transpose(1, 2, 0), img2.cpu().detach().numpy().transpose(1, 2, 0), multichannel=True, data_range=1.0) # Call detach() before converting to NumPy array to avoid the error\n",
        "    return ssim"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "#### Training the model"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 59,
      "metadata": {
        "id": "GbTUvI3PBwty"
      },
      "outputs": [],
      "source": [
        "# Hyperparameters\n",
        "img_size = 256\n",
        "batch_size = 4\n",
        "learning_rate = 1e-4\n",
        "num_epochs = 10\n",
        "\n",
        "# Dataset and DataLoader\n",
        "data_dir = 'data/'\n",
        "# PairLoader: is a colab built-in class that loads paired images from a directory\n",
        "train_dataset = PairLoader(data_dir, mode='train', size=img_size)\n",
        "train_loader = DataLoader(train_dataset, batch_size=batch_size, shuffle=True, num_workers=4)\n",
        "\n",
        "# Model, Loss, Optimizer\n",
        "model = SimpleCVT(img_size=img_size).cuda()\n",
        "criterion = nn.MSELoss()\n",
        "optimizer = optim.Adam(model.parameters(), lr=learning_rate)\n",
        "\n",
        "# Lists to store metrics\n",
        "epoch_list = []\n",
        "loss_list = []\n",
        "psnr_list = []\n",
        "ssim_list = []"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 62,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0g0GMr7v9UJu",
        "outputId": "0193c04b-4b6d-4772-b7d5-0d75b9392932"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "<ipython-input-50-bccc5abe714f>:6: FutureWarning: `multichannel` is a deprecated argument name for `structural_similarity`. It will be removed in version 1.0. Please use `channel_axis` instead.\n",
            "  ssim = structural_similarity(img1.cpu().detach().numpy().transpose(1, 2, 0), img2.cpu().detach().numpy().transpose(1, 2, 0), multichannel=True, data_range=1.0) # Call detach() before converting to NumPy array to avoid the error\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Epoch [1/10], Step [10/1500], Loss: 0.4977, PSNR: 3.5083, SSIM: 0.0018\n",
            "Epoch [1/10], Step [20/1500], Loss: 0.3380, PSNR: 4.7677, SSIM: 0.0076\n",
            "Epoch [1/10], Step [30/1500], Loss: 0.2577, PSNR: 6.1430, SSIM: 0.0098\n",
            "Epoch [1/10], Step [40/1500], Loss: 0.1949, PSNR: 7.6146, SSIM: 0.0165\n",
            "Epoch [1/10], Step [50/1500], Loss: 0.1714, PSNR: 7.8512, SSIM: 0.0232\n",
            "Epoch [1/10], Step [60/1500], Loss: 0.1353, PSNR: 9.9113, SSIM: 0.0310\n",
            "Epoch [1/10], Step [70/1500], Loss: 0.1274, PSNR: 8.7124, SSIM: 0.0323\n",
            "Epoch [1/10], Step [80/1500], Loss: 0.1047, PSNR: 9.2663, SSIM: 0.0351\n",
            "Epoch [1/10], Step [90/1500], Loss: 0.0972, PSNR: 10.7135, SSIM: 0.0414\n",
            "Epoch [1/10], Step [100/1500], Loss: 0.0905, PSNR: 11.1125, SSIM: 0.0606\n",
            "Epoch [1/10], Step [110/1500], Loss: 0.0962, PSNR: 10.7622, SSIM: 0.0711\n",
            "Epoch [1/10], Step [120/1500], Loss: 0.0767, PSNR: 13.3496, SSIM: 0.0970\n",
            "Epoch [1/10], Step [130/1500], Loss: 0.0635, PSNR: 12.4351, SSIM: 0.0713\n",
            "Epoch [1/10], Step [140/1500], Loss: 0.0702, PSNR: 12.3006, SSIM: 0.0940\n",
            "Epoch [1/10], Step [150/1500], Loss: 0.0737, PSNR: 10.9443, SSIM: 0.0802\n",
            "Epoch [1/10], Step [160/1500], Loss: 0.0621, PSNR: 12.6052, SSIM: 0.0967\n",
            "Epoch [1/10], Step [170/1500], Loss: 0.0709, PSNR: 11.3569, SSIM: 0.0858\n",
            "Epoch [1/10], Step [180/1500], Loss: 0.0597, PSNR: 12.8647, SSIM: 0.1172\n",
            "Epoch [1/10], Step [190/1500], Loss: 0.0579, PSNR: 15.1807, SSIM: 0.1474\n",
            "Epoch [1/10], Step [200/1500], Loss: 0.0604, PSNR: 12.6592, SSIM: 0.0884\n",
            "Epoch [1/10], Step [210/1500], Loss: 0.0509, PSNR: 13.1170, SSIM: 0.1211\n",
            "Epoch [1/10], Step [220/1500], Loss: 0.0504, PSNR: 12.4893, SSIM: 0.1044\n",
            "Epoch [1/10], Step [230/1500], Loss: 0.0552, PSNR: 12.9330, SSIM: 0.1575\n",
            "Epoch [1/10], Step [240/1500], Loss: 0.0429, PSNR: 14.0250, SSIM: 0.1403\n",
            "Epoch [1/10], Step [250/1500], Loss: 0.0465, PSNR: 14.1124, SSIM: 0.1338\n",
            "Epoch [1/10], Step [260/1500], Loss: 0.0476, PSNR: 14.2449, SSIM: 0.1284\n",
            "Epoch [1/10], Step [270/1500], Loss: 0.0498, PSNR: 14.2674, SSIM: 0.1215\n",
            "Epoch [1/10], Step [280/1500], Loss: 0.0476, PSNR: 14.7606, SSIM: 0.2263\n",
            "Epoch [1/10], Step [290/1500], Loss: 0.0429, PSNR: 14.7731, SSIM: 0.1609\n",
            "Epoch [1/10], Step [300/1500], Loss: 0.0446, PSNR: 13.3595, SSIM: 0.1095\n",
            "Epoch [1/10], Step [310/1500], Loss: 0.0394, PSNR: 15.6561, SSIM: 0.2190\n",
            "Epoch [1/10], Step [320/1500], Loss: 0.0396, PSNR: 15.1070, SSIM: 0.2258\n",
            "Epoch [1/10], Step [330/1500], Loss: 0.0530, PSNR: 13.4006, SSIM: 0.1754\n",
            "Epoch [1/10], Step [340/1500], Loss: 0.0437, PSNR: 14.2069, SSIM: 0.1765\n",
            "Epoch [1/10], Step [350/1500], Loss: 0.0370, PSNR: 14.2574, SSIM: 0.1809\n",
            "Epoch [1/10], Step [360/1500], Loss: 0.0399, PSNR: 14.7617, SSIM: 0.1843\n",
            "Epoch [1/10], Step [370/1500], Loss: 0.0397, PSNR: 14.0782, SSIM: 0.1809\n",
            "Epoch [1/10], Step [380/1500], Loss: 0.0399, PSNR: 14.2488, SSIM: 0.1802\n",
            "Epoch [1/10], Step [390/1500], Loss: 0.0381, PSNR: 14.9939, SSIM: 0.1996\n",
            "Epoch [1/10], Step [400/1500], Loss: 0.0394, PSNR: 13.7888, SSIM: 0.1519\n",
            "Epoch [1/10], Step [410/1500], Loss: 0.0332, PSNR: 15.8726, SSIM: 0.2407\n",
            "Epoch [1/10], Step [420/1500], Loss: 0.0352, PSNR: 14.9455, SSIM: 0.2063\n",
            "Epoch [1/10], Step [430/1500], Loss: 0.0315, PSNR: 17.0675, SSIM: 0.2478\n",
            "Epoch [1/10], Step [440/1500], Loss: 0.0481, PSNR: 14.3164, SSIM: 0.2179\n",
            "Epoch [1/10], Step [450/1500], Loss: 0.0369, PSNR: 14.9747, SSIM: 0.2006\n",
            "Epoch [1/10], Step [460/1500], Loss: 0.0338, PSNR: 15.7997, SSIM: 0.2072\n",
            "Epoch [1/10], Step [470/1500], Loss: 0.0334, PSNR: 15.2526, SSIM: 0.1991\n",
            "Epoch [1/10], Step [480/1500], Loss: 0.0390, PSNR: 13.8110, SSIM: 0.2067\n",
            "Epoch [1/10], Step [490/1500], Loss: 0.0371, PSNR: 15.9854, SSIM: 0.2267\n",
            "Epoch [1/10], Step [500/1500], Loss: 0.0323, PSNR: 15.2548, SSIM: 0.2065\n",
            "Epoch [1/10], Step [510/1500], Loss: 0.0411, PSNR: 15.2724, SSIM: 0.2221\n",
            "Epoch [1/10], Step [520/1500], Loss: 0.0360, PSNR: 16.2707, SSIM: 0.2521\n",
            "Epoch [1/10], Step [530/1500], Loss: 0.0399, PSNR: 15.0904, SSIM: 0.2234\n",
            "Epoch [1/10], Step [540/1500], Loss: 0.0321, PSNR: 16.6166, SSIM: 0.2559\n",
            "Epoch [1/10], Step [550/1500], Loss: 0.0304, PSNR: 16.2504, SSIM: 0.2462\n",
            "Epoch [1/10], Step [560/1500], Loss: 0.0273, PSNR: 16.5123, SSIM: 0.2282\n",
            "Epoch [1/10], Step [570/1500], Loss: 0.0287, PSNR: 16.7605, SSIM: 0.2399\n",
            "Epoch [1/10], Step [580/1500], Loss: 0.0360, PSNR: 14.8122, SSIM: 0.2325\n",
            "Epoch [1/10], Step [590/1500], Loss: 0.0257, PSNR: 16.3625, SSIM: 0.2613\n",
            "Epoch [1/10], Step [600/1500], Loss: 0.0265, PSNR: 16.0892, SSIM: 0.2467\n",
            "Epoch [1/10], Step [610/1500], Loss: 0.0318, PSNR: 16.0183, SSIM: 0.2739\n",
            "Epoch [1/10], Step [620/1500], Loss: 0.0266, PSNR: 15.2101, SSIM: 0.2049\n",
            "Epoch [1/10], Step [630/1500], Loss: 0.0335, PSNR: 16.0614, SSIM: 0.2540\n",
            "Epoch [1/10], Step [640/1500], Loss: 0.0288, PSNR: 15.6287, SSIM: 0.2791\n",
            "Epoch [1/10], Step [650/1500], Loss: 0.0337, PSNR: 15.2082, SSIM: 0.2662\n",
            "Epoch [1/10], Step [660/1500], Loss: 0.0305, PSNR: 15.9776, SSIM: 0.2770\n",
            "Epoch [1/10], Step [670/1500], Loss: 0.0321, PSNR: 15.1155, SSIM: 0.2596\n",
            "Epoch [1/10], Step [680/1500], Loss: 0.0294, PSNR: 15.3464, SSIM: 0.2391\n",
            "Epoch [1/10], Step [690/1500], Loss: 0.0284, PSNR: 15.6077, SSIM: 0.2027\n",
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            "Epoch [1/10], Step [730/1500], Loss: 0.0227, PSNR: 16.3674, SSIM: 0.2957\n",
            "Epoch [1/10], Step [740/1500], Loss: 0.0317, PSNR: 16.5733, SSIM: 0.3273\n",
            "Epoch [1/10], Step [750/1500], Loss: 0.0284, PSNR: 16.5342, SSIM: 0.3052\n",
            "Epoch [1/10], Step [760/1500], Loss: 0.0284, PSNR: 15.5794, SSIM: 0.3010\n",
            "Epoch [1/10], Step [770/1500], Loss: 0.0295, PSNR: 16.1503, SSIM: 0.2854\n",
            "Epoch [1/10], Step [780/1500], Loss: 0.0277, PSNR: 16.8964, SSIM: 0.2698\n",
            "Epoch [1/10], Step [790/1500], Loss: 0.0264, PSNR: 16.4290, SSIM: 0.2884\n",
            "Epoch [1/10], Step [800/1500], Loss: 0.0254, PSNR: 16.9345, SSIM: 0.3154\n",
            "Epoch [1/10], Step [810/1500], Loss: 0.0361, PSNR: 16.6657, SSIM: 0.2989\n",
            "Epoch [1/10], Step [820/1500], Loss: 0.0240, PSNR: 16.6084, SSIM: 0.2885\n",
            "Epoch [1/10], Step [830/1500], Loss: 0.0252, PSNR: 16.6811, SSIM: 0.2666\n",
            "Epoch [1/10], Step [840/1500], Loss: 0.0219, PSNR: 16.6862, SSIM: 0.2854\n",
            "Epoch [1/10], Step [850/1500], Loss: 0.0264, PSNR: 17.4836, SSIM: 0.3311\n",
            "Epoch [1/10], Step [860/1500], Loss: 0.0272, PSNR: 16.7369, SSIM: 0.2976\n",
            "Epoch [1/10], Step [870/1500], Loss: 0.0270, PSNR: 17.0164, SSIM: 0.2928\n",
            "Epoch [1/10], Step [880/1500], Loss: 0.0248, PSNR: 15.8294, SSIM: 0.2989\n",
            "Epoch [1/10], Step [890/1500], Loss: 0.0340, PSNR: 15.9983, SSIM: 0.3177\n",
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            "Epoch [1/10], Step [910/1500], Loss: 0.0247, PSNR: 15.4587, SSIM: 0.2961\n",
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            "Epoch [1/10], Step [930/1500], Loss: 0.0237, PSNR: 16.7867, SSIM: 0.3059\n",
            "Epoch [1/10], Step [940/1500], Loss: 0.0311, PSNR: 17.7032, SSIM: 0.3725\n",
            "Epoch [1/10], Step [950/1500], Loss: 0.0292, PSNR: 15.1081, SSIM: 0.3125\n",
            "Epoch [1/10], Step [960/1500], Loss: 0.0245, PSNR: 16.1118, SSIM: 0.2851\n",
            "Epoch [1/10], Step [970/1500], Loss: 0.0290, PSNR: 16.7496, SSIM: 0.3589\n",
            "Epoch [1/10], Step [980/1500], Loss: 0.0370, PSNR: 15.7229, SSIM: 0.3159\n",
            "Epoch [1/10], Step [990/1500], Loss: 0.0315, PSNR: 16.7878, SSIM: 0.2924\n",
            "Epoch [1/10], Step [1000/1500], Loss: 0.0236, PSNR: 16.4289, SSIM: 0.3254\n",
            "Epoch [1/10], Step [1010/1500], Loss: 0.0263, PSNR: 17.3314, SSIM: 0.2936\n",
            "Epoch [1/10], Step [1020/1500], Loss: 0.0250, PSNR: 16.9348, SSIM: 0.3485\n",
            "Epoch [1/10], Step [1030/1500], Loss: 0.0228, PSNR: 16.4418, SSIM: 0.3400\n",
            "Epoch [1/10], Step [1040/1500], Loss: 0.0247, PSNR: 16.6088, SSIM: 0.3833\n",
            "Epoch [1/10], Step [1050/1500], Loss: 0.0242, PSNR: 16.9591, SSIM: 0.3244\n",
            "Epoch [1/10], Step [1060/1500], Loss: 0.0262, PSNR: 15.6561, SSIM: 0.3370\n",
            "Epoch [1/10], Step [1070/1500], Loss: 0.0233, PSNR: 17.4665, SSIM: 0.3671\n",
            "Epoch [1/10], Step [1080/1500], Loss: 0.0221, PSNR: 16.5792, SSIM: 0.3781\n",
            "Epoch [1/10], Step [1090/1500], Loss: 0.0237, PSNR: 16.4357, SSIM: 0.3587\n",
            "Epoch [1/10], Step [1100/1500], Loss: 0.0257, PSNR: 16.8737, SSIM: 0.3370\n",
            "Epoch [1/10], Step [1110/1500], Loss: 0.0246, PSNR: 17.8980, SSIM: 0.3641\n",
            "Epoch [1/10], Step [1120/1500], Loss: 0.0234, PSNR: 17.0919, SSIM: 0.3878\n",
            "Epoch [1/10], Step [1130/1500], Loss: 0.0225, PSNR: 17.7196, SSIM: 0.3464\n",
            "Epoch [1/10], Step [1140/1500], Loss: 0.0243, PSNR: 17.4647, SSIM: 0.3483\n",
            "Epoch [1/10], Step [1150/1500], Loss: 0.0216, PSNR: 16.2307, SSIM: 0.3173\n",
            "Epoch [1/10], Step [1160/1500], Loss: 0.0254, PSNR: 16.9184, SSIM: 0.3727\n",
            "Epoch [1/10], Step [1170/1500], Loss: 0.0270, PSNR: 17.6484, SSIM: 0.3299\n",
            "Epoch [1/10], Step [1180/1500], Loss: 0.0213, PSNR: 16.1386, SSIM: 0.3346\n",
            "Epoch [1/10], Step [1190/1500], Loss: 0.0289, PSNR: 17.4167, SSIM: 0.3678\n",
            "Epoch [1/10], Step [1200/1500], Loss: 0.0212, PSNR: 19.5488, SSIM: 0.4045\n",
            "Epoch [1/10], Step [1210/1500], Loss: 0.0207, PSNR: 17.4046, SSIM: 0.3388\n",
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            "Epoch [1/10], Step [1230/1500], Loss: 0.0206, PSNR: 17.6229, SSIM: 0.3773\n",
            "Epoch [1/10], Step [1240/1500], Loss: 0.0261, PSNR: 16.1260, SSIM: 0.3716\n",
            "Epoch [1/10], Step [1250/1500], Loss: 0.0211, PSNR: 16.9008, SSIM: 0.3707\n",
            "Epoch [1/10], Step [1260/1500], Loss: 0.0204, PSNR: 16.6188, SSIM: 0.3527\n",
            "Epoch [1/10], Step [1270/1500], Loss: 0.0236, PSNR: 17.1718, SSIM: 0.4201\n",
            "Epoch [1/10], Step [1280/1500], Loss: 0.0242, PSNR: 16.8212, SSIM: 0.4337\n",
            "Epoch [1/10], Step [1290/1500], Loss: 0.0237, PSNR: 16.5859, SSIM: 0.4185\n",
            "Epoch [1/10], Step [1300/1500], Loss: 0.0262, PSNR: 16.6526, SSIM: 0.3685\n",
            "Epoch [1/10], Step [1310/1500], Loss: 0.0247, PSNR: 17.0163, SSIM: 0.3920\n",
            "Epoch [1/10], Step [1320/1500], Loss: 0.0245, PSNR: 16.3698, SSIM: 0.4220\n",
            "Epoch [1/10], Step [1330/1500], Loss: 0.0241, PSNR: 17.4701, SSIM: 0.3817\n",
            "Epoch [1/10], Step [1340/1500], Loss: 0.0217, PSNR: 18.3589, SSIM: 0.3650\n",
            "Epoch [1/10], Step [1350/1500], Loss: 0.0197, PSNR: 18.8192, SSIM: 0.4111\n",
            "Epoch [1/10], Step [1360/1500], Loss: 0.0232, PSNR: 16.4535, SSIM: 0.3996\n",
            "Epoch [1/10], Step [1370/1500], Loss: 0.0200, PSNR: 18.2226, SSIM: 0.3861\n",
            "Epoch [1/10], Step [1380/1500], Loss: 0.0213, PSNR: 18.4953, SSIM: 0.3797\n",
            "Epoch [1/10], Step [1390/1500], Loss: 0.0249, PSNR: 18.0952, SSIM: 0.4411\n",
            "Epoch [1/10], Step [1400/1500], Loss: 0.0243, PSNR: 17.4776, SSIM: 0.3792\n",
            "Epoch [1/10], Step [1410/1500], Loss: 0.0236, PSNR: 16.8943, SSIM: 0.3805\n",
            "Epoch [1/10], Step [1420/1500], Loss: 0.0237, PSNR: 17.2097, SSIM: 0.4448\n",
            "Epoch [1/10], Step [1430/1500], Loss: 0.0240, PSNR: 18.4255, SSIM: 0.4075\n",
            "Epoch [1/10], Step [1440/1500], Loss: 0.0262, PSNR: 17.6091, SSIM: 0.3955\n",
            "Epoch [1/10], Step [1450/1500], Loss: 0.0270, PSNR: 17.3294, SSIM: 0.4141\n",
            "Epoch [1/10], Step [1460/1500], Loss: 0.0301, PSNR: 17.5496, SSIM: 0.4180\n",
            "Epoch [1/10], Step [1470/1500], Loss: 0.0291, PSNR: 15.5660, SSIM: 0.3662\n",
            "Epoch [1/10], Step [1480/1500], Loss: 0.0248, PSNR: 17.1174, SSIM: 0.4351\n",
            "Epoch [1/10], Step [1490/1500], Loss: 0.0230, PSNR: 18.1436, SSIM: 0.4480\n",
            "Epoch [1/10], Step [1500/1500], Loss: 0.0238, PSNR: 17.7294, SSIM: 0.4517\n",
            "Epoch [2/10], Step [10/1500], Loss: 0.0210, PSNR: 18.2036, SSIM: 0.4398\n",
            "Epoch [2/10], Step [20/1500], Loss: 0.0262, PSNR: 18.3187, SSIM: 0.4019\n",
            "Epoch [2/10], Step [30/1500], Loss: 0.0233, PSNR: 16.5919, SSIM: 0.4848\n",
            "Epoch [2/10], Step [40/1500], Loss: 0.0266, PSNR: 17.0652, SSIM: 0.4189\n",
            "Epoch [2/10], Step [50/1500], Loss: 0.0205, PSNR: 18.0225, SSIM: 0.4528\n",
            "Epoch [2/10], Step [60/1500], Loss: 0.0214, PSNR: 18.2456, SSIM: 0.4381\n",
            "Epoch [2/10], Step [70/1500], Loss: 0.0183, PSNR: 16.9159, SSIM: 0.3592\n",
            "Epoch [2/10], Step [80/1500], Loss: 0.0279, PSNR: 17.0457, SSIM: 0.4230\n",
            "Epoch [2/10], Step [90/1500], Loss: 0.0248, PSNR: 17.8470, SSIM: 0.4323\n",
            "Epoch [2/10], Step [100/1500], Loss: 0.0224, PSNR: 18.7462, SSIM: 0.4363\n",
            "Epoch [2/10], Step [110/1500], Loss: 0.0223, PSNR: 17.2111, SSIM: 0.4132\n",
            "Epoch [2/10], Step [120/1500], Loss: 0.0170, PSNR: 17.8496, SSIM: 0.4061\n",
            "Epoch [2/10], Step [130/1500], Loss: 0.0225, PSNR: 19.3399, SSIM: 0.4544\n",
            "Epoch [2/10], Step [140/1500], Loss: 0.0224, PSNR: 16.7358, SSIM: 0.4406\n",
            "Epoch [2/10], Step [150/1500], Loss: 0.0231, PSNR: 17.1698, SSIM: 0.4282\n",
            "Epoch [2/10], Step [160/1500], Loss: 0.0257, PSNR: 18.0932, SSIM: 0.3914\n",
            "Epoch [2/10], Step [170/1500], Loss: 0.0239, PSNR: 17.5006, SSIM: 0.4224\n",
            "Epoch [2/10], Step [180/1500], Loss: 0.0222, PSNR: 18.0886, SSIM: 0.3786\n",
            "Epoch [2/10], Step [190/1500], Loss: 0.0221, PSNR: 17.8147, SSIM: 0.3810\n",
            "Epoch [2/10], Step [200/1500], Loss: 0.0234, PSNR: 17.8320, SSIM: 0.5035\n",
            "Epoch [2/10], Step [210/1500], Loss: 0.0237, PSNR: 18.5219, SSIM: 0.4076\n",
            "Epoch [2/10], Step [220/1500], Loss: 0.0216, PSNR: 17.6467, SSIM: 0.4033\n",
            "Epoch [2/10], Step [230/1500], Loss: 0.0184, PSNR: 17.8663, SSIM: 0.4271\n",
            "Epoch [2/10], Step [240/1500], Loss: 0.0186, PSNR: 18.8829, SSIM: 0.4583\n",
            "Epoch [2/10], Step [250/1500], Loss: 0.0209, PSNR: 18.0546, SSIM: 0.4657\n",
            "Epoch [2/10], Step [260/1500], Loss: 0.0222, PSNR: 18.2070, SSIM: 0.4503\n",
            "Epoch [2/10], Step [270/1500], Loss: 0.0305, PSNR: 17.4156, SSIM: 0.4040\n",
            "Epoch [2/10], Step [280/1500], Loss: 0.0238, PSNR: 19.5996, SSIM: 0.5039\n",
            "Epoch [2/10], Step [290/1500], Loss: 0.0239, PSNR: 17.4575, SSIM: 0.4543\n",
            "Epoch [2/10], Step [300/1500], Loss: 0.0207, PSNR: 16.9488, SSIM: 0.4444\n",
            "Epoch [2/10], Step [310/1500], Loss: 0.0206, PSNR: 17.6551, SSIM: 0.4759\n",
            "Epoch [2/10], Step [320/1500], Loss: 0.0192, PSNR: 17.6555, SSIM: 0.4600\n",
            "Epoch [2/10], Step [330/1500], Loss: 0.0198, PSNR: 19.0728, SSIM: 0.4656\n",
            "Epoch [2/10], Step [340/1500], Loss: 0.0169, PSNR: 17.9126, SSIM: 0.4038\n",
            "Epoch [2/10], Step [350/1500], Loss: 0.0251, PSNR: 18.7840, SSIM: 0.4342\n",
            "Epoch [2/10], Step [360/1500], Loss: 0.0183, PSNR: 17.7378, SSIM: 0.5005\n",
            "Epoch [2/10], Step [370/1500], Loss: 0.0187, PSNR: 18.2000, SSIM: 0.4298\n",
            "Epoch [2/10], Step [380/1500], Loss: 0.0146, PSNR: 19.4622, SSIM: 0.4509\n",
            "Epoch [2/10], Step [390/1500], Loss: 0.0274, PSNR: 16.5517, SSIM: 0.3948\n",
            "Epoch [2/10], Step [400/1500], Loss: 0.0273, PSNR: 16.7909, SSIM: 0.4566\n",
            "Epoch [2/10], Step [410/1500], Loss: 0.0175, PSNR: 17.6050, SSIM: 0.4604\n",
            "Epoch [2/10], Step [420/1500], Loss: 0.0215, PSNR: 17.0745, SSIM: 0.4491\n",
            "Epoch [2/10], Step [430/1500], Loss: 0.0218, PSNR: 16.9542, SSIM: 0.3570\n",
            "Epoch [2/10], Step [440/1500], Loss: 0.0226, PSNR: 16.9578, SSIM: 0.3866\n",
            "Epoch [2/10], Step [450/1500], Loss: 0.0166, PSNR: 19.0428, SSIM: 0.4754\n",
            "Epoch [2/10], Step [460/1500], Loss: 0.0194, PSNR: 17.4984, SSIM: 0.4958\n",
            "Epoch [2/10], Step [470/1500], Loss: 0.0190, PSNR: 16.7412, SSIM: 0.4801\n",
            "Epoch [2/10], Step [480/1500], Loss: 0.0154, PSNR: 18.2735, SSIM: 0.4747\n",
            "Epoch [2/10], Step [490/1500], Loss: 0.0239, PSNR: 18.9545, SSIM: 0.5328\n",
            "Epoch [2/10], Step [500/1500], Loss: 0.0194, PSNR: 18.7160, SSIM: 0.4619\n",
            "Epoch [2/10], Step [510/1500], Loss: 0.0202, PSNR: 17.8270, SSIM: 0.4823\n",
            "Epoch [2/10], Step [520/1500], Loss: 0.0229, PSNR: 15.6569, SSIM: 0.4228\n",
            "Epoch [2/10], Step [530/1500], Loss: 0.0202, PSNR: 19.6871, SSIM: 0.5332\n",
            "Epoch [2/10], Step [540/1500], Loss: 0.0202, PSNR: 18.3761, SSIM: 0.4643\n",
            "Epoch [2/10], Step [550/1500], Loss: 0.0211, PSNR: 17.7916, SSIM: 0.4695\n",
            "Epoch [2/10], Step [560/1500], Loss: 0.0164, PSNR: 19.1547, SSIM: 0.4954\n",
            "Epoch [2/10], Step [570/1500], Loss: 0.0145, PSNR: 19.6680, SSIM: 0.4938\n",
            "Epoch [2/10], Step [580/1500], Loss: 0.0182, PSNR: 19.4140, SSIM: 0.5199\n",
            "Epoch [2/10], Step [590/1500], Loss: 0.0197, PSNR: 16.9677, SSIM: 0.4521\n",
            "Epoch [2/10], Step [600/1500], Loss: 0.0193, PSNR: 19.1522, SSIM: 0.5305\n",
            "Epoch [2/10], Step [610/1500], Loss: 0.0207, PSNR: 18.0497, SSIM: 0.5516\n",
            "Epoch [2/10], Step [620/1500], Loss: 0.0166, PSNR: 18.7543, SSIM: 0.4986\n",
            "Epoch [2/10], Step [630/1500], Loss: 0.0228, PSNR: 17.3005, SSIM: 0.4628\n",
            "Epoch [2/10], Step [640/1500], Loss: 0.0185, PSNR: 17.6012, SSIM: 0.4679\n",
            "Epoch [2/10], Step [650/1500], Loss: 0.0240, PSNR: 16.9751, SSIM: 0.4298\n",
            "Epoch [2/10], Step [660/1500], Loss: 0.0242, PSNR: 17.1843, SSIM: 0.4705\n",
            "Epoch [2/10], Step [670/1500], Loss: 0.0217, PSNR: 16.2239, SSIM: 0.4801\n",
            "Epoch [2/10], Step [680/1500], Loss: 0.0247, PSNR: 17.8595, SSIM: 0.4663\n",
            "Epoch [2/10], Step [690/1500], Loss: 0.0217, PSNR: 18.4698, SSIM: 0.5638\n",
            "Epoch [2/10], Step [700/1500], Loss: 0.0238, PSNR: 16.7052, SSIM: 0.4679\n",
            "Epoch [2/10], Step [710/1500], Loss: 0.0264, PSNR: 16.7540, SSIM: 0.4834\n",
            "Epoch [2/10], Step [720/1500], Loss: 0.0176, PSNR: 18.8926, SSIM: 0.4861\n",
            "Epoch [2/10], Step [730/1500], Loss: 0.0197, PSNR: 17.0669, SSIM: 0.4605\n",
            "Epoch [2/10], Step [740/1500], Loss: 0.0236, PSNR: 17.2422, SSIM: 0.4525\n",
            "Epoch [2/10], Step [750/1500], Loss: 0.0244, PSNR: 16.2981, SSIM: 0.4520\n",
            "Epoch [2/10], Step [760/1500], Loss: 0.0149, PSNR: 18.9318, SSIM: 0.4815\n",
            "Epoch [2/10], Step [770/1500], Loss: 0.0236, PSNR: 19.3763, SSIM: 0.4952\n",
            "Epoch [2/10], Step [780/1500], Loss: 0.0200, PSNR: 19.6105, SSIM: 0.4976\n",
            "Epoch [2/10], Step [790/1500], Loss: 0.0205, PSNR: 18.5448, SSIM: 0.5185\n",
            "Epoch [2/10], Step [800/1500], Loss: 0.0175, PSNR: 18.9700, SSIM: 0.5446\n",
            "Epoch [2/10], Step [810/1500], Loss: 0.0183, PSNR: 17.8740, SSIM: 0.4817\n",
            "Epoch [2/10], Step [820/1500], Loss: 0.0264, PSNR: 16.7787, SSIM: 0.4437\n",
            "Epoch [2/10], Step [830/1500], Loss: 0.0218, PSNR: 18.5002, SSIM: 0.5272\n",
            "Epoch [2/10], Step [840/1500], Loss: 0.0195, PSNR: 18.5890, SSIM: 0.5063\n",
            "Epoch [2/10], Step [850/1500], Loss: 0.0194, PSNR: 17.3289, SSIM: 0.4663\n",
            "Epoch [2/10], Step [860/1500], Loss: 0.0216, PSNR: 18.2777, SSIM: 0.5164\n",
            "Epoch [2/10], Step [870/1500], Loss: 0.0192, PSNR: 19.1901, SSIM: 0.5471\n",
            "Epoch [2/10], Step [880/1500], Loss: 0.0168, PSNR: 19.1586, SSIM: 0.5593\n",
            "Epoch [2/10], Step [890/1500], Loss: 0.0180, PSNR: 18.4480, SSIM: 0.5522\n",
            "Epoch [2/10], Step [900/1500], Loss: 0.0207, PSNR: 18.8724, SSIM: 0.5381\n",
            "Epoch [2/10], Step [910/1500], Loss: 0.0144, PSNR: 19.6603, SSIM: 0.5832\n",
            "Epoch [2/10], Step [920/1500], Loss: 0.0218, PSNR: 18.9384, SSIM: 0.4664\n",
            "Epoch [2/10], Step [930/1500], Loss: 0.0199, PSNR: 17.8277, SSIM: 0.5411\n",
            "Epoch [2/10], Step [940/1500], Loss: 0.0162, PSNR: 19.1893, SSIM: 0.5323\n",
            "Epoch [2/10], Step [950/1500], Loss: 0.0227, PSNR: 18.4513, SSIM: 0.5518\n",
            "Epoch [2/10], Step [960/1500], Loss: 0.0189, PSNR: 19.0946, SSIM: 0.5081\n",
            "Epoch [2/10], Step [970/1500], Loss: 0.0163, PSNR: 19.2714, SSIM: 0.4949\n",
            "Epoch [2/10], Step [980/1500], Loss: 0.0226, PSNR: 16.8033, SSIM: 0.4787\n",
            "Epoch [2/10], Step [990/1500], Loss: 0.0299, PSNR: 16.7801, SSIM: 0.4668\n",
            "Epoch [2/10], Step [1000/1500], Loss: 0.0238, PSNR: 18.0597, SSIM: 0.5033\n",
            "Epoch [2/10], Step [1010/1500], Loss: 0.0217, PSNR: 18.6553, SSIM: 0.5466\n",
            "Epoch [2/10], Step [1020/1500], Loss: 0.0192, PSNR: 17.4152, SSIM: 0.4423\n",
            "Epoch [2/10], Step [1030/1500], Loss: 0.0191, PSNR: 19.6766, SSIM: 0.4867\n",
            "Epoch [2/10], Step [1040/1500], Loss: 0.0239, PSNR: 18.8208, SSIM: 0.4796\n",
            "Epoch [2/10], Step [1050/1500], Loss: 0.0223, PSNR: 16.8334, SSIM: 0.4464\n",
            "Epoch [2/10], Step [1060/1500], Loss: 0.0201, PSNR: 17.7197, SSIM: 0.4683\n",
            "Epoch [2/10], Step [1070/1500], Loss: 0.0186, PSNR: 17.8384, SSIM: 0.5200\n",
            "Epoch [2/10], Step [1080/1500], Loss: 0.0153, PSNR: 19.5047, SSIM: 0.5460\n",
            "Epoch [2/10], Step [1090/1500], Loss: 0.0173, PSNR: 17.9187, SSIM: 0.5254\n",
            "Epoch [2/10], Step [1100/1500], Loss: 0.0239, PSNR: 18.0449, SSIM: 0.5081\n",
            "Epoch [2/10], Step [1110/1500], Loss: 0.0171, PSNR: 16.3535, SSIM: 0.5056\n",
            "Epoch [2/10], Step [1120/1500], Loss: 0.0237, PSNR: 18.2441, SSIM: 0.5035\n",
            "Epoch [2/10], Step [1130/1500], Loss: 0.0231, PSNR: 17.2650, SSIM: 0.4890\n",
            "Epoch [2/10], Step [1140/1500], Loss: 0.0212, PSNR: 17.8458, SSIM: 0.4702\n",
            "Epoch [2/10], Step [1150/1500], Loss: 0.0139, PSNR: 19.0789, SSIM: 0.4979\n",
            "Epoch [2/10], Step [1160/1500], Loss: 0.0209, PSNR: 17.4814, SSIM: 0.4724\n",
            "Epoch [2/10], Step [1170/1500], Loss: 0.0176, PSNR: 19.2330, SSIM: 0.5321\n",
            "Epoch [2/10], Step [1180/1500], Loss: 0.0204, PSNR: 19.1319, SSIM: 0.5186\n",
            "Epoch [2/10], Step [1190/1500], Loss: 0.0235, PSNR: 17.5944, SSIM: 0.4763\n",
            "Epoch [2/10], Step [1200/1500], Loss: 0.0228, PSNR: 16.2745, SSIM: 0.4499\n",
            "Epoch [2/10], Step [1210/1500], Loss: 0.0189, PSNR: 17.3992, SSIM: 0.5588\n",
            "Epoch [2/10], Step [1220/1500], Loss: 0.0208, PSNR: 17.1825, SSIM: 0.5135\n",
            "Epoch [2/10], Step [1230/1500], Loss: 0.0248, PSNR: 18.2778, SSIM: 0.5057\n",
            "Epoch [2/10], Step [1240/1500], Loss: 0.0146, PSNR: 19.9572, SSIM: 0.5332\n",
            "Epoch [2/10], Step [1250/1500], Loss: 0.0169, PSNR: 19.6827, SSIM: 0.4941\n",
            "Epoch [2/10], Step [1260/1500], Loss: 0.0139, PSNR: 19.9709, SSIM: 0.5784\n",
            "Epoch [2/10], Step [1270/1500], Loss: 0.0168, PSNR: 18.3320, SSIM: 0.5667\n",
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            "Epoch [2/10], Step [1290/1500], Loss: 0.0201, PSNR: 17.8773, SSIM: 0.5081\n",
            "Epoch [2/10], Step [1300/1500], Loss: 0.0169, PSNR: 19.3333, SSIM: 0.5159\n",
            "Epoch [2/10], Step [1310/1500], Loss: 0.0183, PSNR: 20.7533, SSIM: 0.5593\n",
            "Epoch [2/10], Step [1320/1500], Loss: 0.0224, PSNR: 19.8837, SSIM: 0.5642\n",
            "Epoch [2/10], Step [1330/1500], Loss: 0.0179, PSNR: 19.4293, SSIM: 0.5523\n",
            "Epoch [2/10], Step [1340/1500], Loss: 0.0167, PSNR: 18.8373, SSIM: 0.5527\n",
            "Epoch [2/10], Step [1350/1500], Loss: 0.0196, PSNR: 19.6458, SSIM: 0.4820\n",
            "Epoch [2/10], Step [1360/1500], Loss: 0.0189, PSNR: 17.7833, SSIM: 0.5004\n",
            "Epoch [2/10], Step [1370/1500], Loss: 0.0174, PSNR: 18.4099, SSIM: 0.5449\n",
            "Epoch [2/10], Step [1380/1500], Loss: 0.0234, PSNR: 16.8182, SSIM: 0.5246\n",
            "Epoch [2/10], Step [1390/1500], Loss: 0.0199, PSNR: 19.4056, SSIM: 0.5047\n",
            "Epoch [2/10], Step [1400/1500], Loss: 0.0168, PSNR: 18.7413, SSIM: 0.5158\n",
            "Epoch [2/10], Step [1410/1500], Loss: 0.0174, PSNR: 19.8318, SSIM: 0.5561\n",
            "Epoch [2/10], Step [1420/1500], Loss: 0.0228, PSNR: 16.7002, SSIM: 0.4507\n",
            "Epoch [2/10], Step [1430/1500], Loss: 0.0197, PSNR: 18.9330, SSIM: 0.5383\n",
            "Epoch [2/10], Step [1440/1500], Loss: 0.0157, PSNR: 19.0799, SSIM: 0.5937\n",
            "Epoch [2/10], Step [1450/1500], Loss: 0.0207, PSNR: 17.9222, SSIM: 0.5278\n",
            "Epoch [2/10], Step [1460/1500], Loss: 0.0232, PSNR: 18.6460, SSIM: 0.4982\n",
            "Epoch [2/10], Step [1470/1500], Loss: 0.0175, PSNR: 18.7403, SSIM: 0.5842\n",
            "Epoch [2/10], Step [1480/1500], Loss: 0.0181, PSNR: 17.9982, SSIM: 0.5606\n",
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            "Epoch [2/10], Step [1500/1500], Loss: 0.0193, PSNR: 17.8201, SSIM: 0.5384\n",
            "Epoch [3/10], Step [10/1500], Loss: 0.0177, PSNR: 19.1396, SSIM: 0.5238\n",
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            "Epoch [3/10], Step [30/1500], Loss: 0.0171, PSNR: 17.9726, SSIM: 0.5794\n",
            "Epoch [3/10], Step [40/1500], Loss: 0.0234, PSNR: 18.0312, SSIM: 0.5656\n",
            "Epoch [3/10], Step [50/1500], Loss: 0.0192, PSNR: 17.4460, SSIM: 0.5012\n",
            "Epoch [3/10], Step [60/1500], Loss: 0.0195, PSNR: 19.2210, SSIM: 0.5415\n",
            "Epoch [3/10], Step [70/1500], Loss: 0.0124, PSNR: 19.2944, SSIM: 0.5940\n",
            "Epoch [3/10], Step [80/1500], Loss: 0.0158, PSNR: 19.1849, SSIM: 0.5482\n",
            "Epoch [3/10], Step [90/1500], Loss: 0.0128, PSNR: 19.4489, SSIM: 0.5966\n",
            "Epoch [3/10], Step [100/1500], Loss: 0.0173, PSNR: 19.7450, SSIM: 0.5483\n",
            "Epoch [3/10], Step [110/1500], Loss: 0.0140, PSNR: 18.9125, SSIM: 0.5617\n",
            "Epoch [3/10], Step [120/1500], Loss: 0.0204, PSNR: 17.0615, SSIM: 0.5241\n",
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            "Epoch [3/10], Step [140/1500], Loss: 0.0184, PSNR: 18.4524, SSIM: 0.5495\n",
            "Epoch [3/10], Step [150/1500], Loss: 0.0194, PSNR: 17.8010, SSIM: 0.5305\n",
            "Epoch [3/10], Step [160/1500], Loss: 0.0225, PSNR: 17.0674, SSIM: 0.5104\n",
            "Epoch [3/10], Step [170/1500], Loss: 0.0227, PSNR: 19.4904, SSIM: 0.5671\n",
            "Epoch [3/10], Step [180/1500], Loss: 0.0139, PSNR: 19.6998, SSIM: 0.5264\n",
            "Epoch [3/10], Step [190/1500], Loss: 0.0189, PSNR: 20.0028, SSIM: 0.6138\n",
            "Epoch [3/10], Step [200/1500], Loss: 0.0180, PSNR: 17.8356, SSIM: 0.5228\n",
            "Epoch [3/10], Step [210/1500], Loss: 0.0156, PSNR: 19.5617, SSIM: 0.5676\n",
            "Epoch [3/10], Step [220/1500], Loss: 0.0175, PSNR: 18.8453, SSIM: 0.5445\n",
            "Epoch [3/10], Step [230/1500], Loss: 0.0184, PSNR: 17.4085, SSIM: 0.5404\n",
            "Epoch [3/10], Step [240/1500], Loss: 0.0207, PSNR: 18.9889, SSIM: 0.5322\n",
            "Epoch [3/10], Step [250/1500], Loss: 0.0235, PSNR: 16.9346, SSIM: 0.5471\n",
            "Epoch [3/10], Step [260/1500], Loss: 0.0214, PSNR: 18.2460, SSIM: 0.4848\n",
            "Epoch [3/10], Step [270/1500], Loss: 0.0170, PSNR: 18.7107, SSIM: 0.4924\n",
            "Epoch [3/10], Step [280/1500], Loss: 0.0172, PSNR: 18.4426, SSIM: 0.5333\n",
            "Epoch [3/10], Step [290/1500], Loss: 0.0201, PSNR: 17.8555, SSIM: 0.5223\n",
            "Epoch [3/10], Step [300/1500], Loss: 0.0206, PSNR: 17.4660, SSIM: 0.5187\n",
            "Epoch [3/10], Step [310/1500], Loss: 0.0199, PSNR: 17.8504, SSIM: 0.5482\n",
            "Epoch [3/10], Step [320/1500], Loss: 0.0143, PSNR: 19.3166, SSIM: 0.5913\n",
            "Epoch [3/10], Step [330/1500], Loss: 0.0228, PSNR: 18.1926, SSIM: 0.5303\n",
            "Epoch [3/10], Step [340/1500], Loss: 0.0159, PSNR: 20.2705, SSIM: 0.5384\n",
            "Epoch [3/10], Step [350/1500], Loss: 0.0238, PSNR: 17.5498, SSIM: 0.5469\n",
            "Epoch [3/10], Step [360/1500], Loss: 0.0209, PSNR: 18.1546, SSIM: 0.5202\n",
            "Epoch [3/10], Step [370/1500], Loss: 0.0178, PSNR: 16.4830, SSIM: 0.4993\n",
            "Epoch [3/10], Step [380/1500], Loss: 0.0206, PSNR: 18.3820, SSIM: 0.5025\n",
            "Epoch [3/10], Step [390/1500], Loss: 0.0208, PSNR: 17.7192, SSIM: 0.5593\n",
            "Epoch [3/10], Step [400/1500], Loss: 0.0205, PSNR: 19.1026, SSIM: 0.5584\n",
            "Epoch [3/10], Step [410/1500], Loss: 0.0234, PSNR: 19.3375, SSIM: 0.5338\n",
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            "Epoch [3/10], Step [450/1500], Loss: 0.0194, PSNR: 17.4204, SSIM: 0.5317\n",
            "Epoch [3/10], Step [460/1500], Loss: 0.0159, PSNR: 18.0162, SSIM: 0.6048\n",
            "Epoch [3/10], Step [470/1500], Loss: 0.0188, PSNR: 17.8553, SSIM: 0.5680\n",
            "Epoch [3/10], Step [480/1500], Loss: 0.0173, PSNR: 17.9438, SSIM: 0.5284\n",
            "Epoch [3/10], Step [490/1500], Loss: 0.0138, PSNR: 20.6735, SSIM: 0.5827\n",
            "Epoch [3/10], Step [500/1500], Loss: 0.0236, PSNR: 16.2299, SSIM: 0.5254\n",
            "Epoch [3/10], Step [510/1500], Loss: 0.0211, PSNR: 18.2347, SSIM: 0.5254\n",
            "Epoch [3/10], Step [520/1500], Loss: 0.0183, PSNR: 18.4439, SSIM: 0.5691\n",
            "Epoch [3/10], Step [530/1500], Loss: 0.0140, PSNR: 20.8177, SSIM: 0.6035\n",
            "Epoch [3/10], Step [540/1500], Loss: 0.0149, PSNR: 20.3016, SSIM: 0.6182\n",
            "Epoch [3/10], Step [550/1500], Loss: 0.0200, PSNR: 18.7171, SSIM: 0.5986\n",
            "Epoch [3/10], Step [560/1500], Loss: 0.0170, PSNR: 17.5334, SSIM: 0.5438\n",
            "Epoch [3/10], Step [570/1500], Loss: 0.0152, PSNR: 20.3437, SSIM: 0.5935\n",
            "Epoch [3/10], Step [580/1500], Loss: 0.0182, PSNR: 18.7526, SSIM: 0.5235\n",
            "Epoch [3/10], Step [590/1500], Loss: 0.0216, PSNR: 16.7865, SSIM: 0.5214\n",
            "Epoch [3/10], Step [600/1500], Loss: 0.0228, PSNR: 17.5353, SSIM: 0.4853\n",
            "Epoch [3/10], Step [610/1500], Loss: 0.0173, PSNR: 18.7086, SSIM: 0.5720\n",
            "Epoch [3/10], Step [620/1500], Loss: 0.0170, PSNR: 18.9983, SSIM: 0.6263\n",
            "Epoch [3/10], Step [630/1500], Loss: 0.0202, PSNR: 19.4300, SSIM: 0.5414\n",
            "Epoch [3/10], Step [640/1500], Loss: 0.0181, PSNR: 18.4589, SSIM: 0.5428\n",
            "Epoch [3/10], Step [650/1500], Loss: 0.0161, PSNR: 19.6657, SSIM: 0.6181\n",
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            "Epoch [3/10], Step [680/1500], Loss: 0.0225, PSNR: 18.2588, SSIM: 0.5651\n",
            "Epoch [3/10], Step [690/1500], Loss: 0.0158, PSNR: 18.7117, SSIM: 0.6034\n",
            "Epoch [3/10], Step [700/1500], Loss: 0.0143, PSNR: 20.0730, SSIM: 0.5480\n",
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            "Epoch [3/10], Step [720/1500], Loss: 0.0191, PSNR: 20.3926, SSIM: 0.6103\n",
            "Epoch [3/10], Step [730/1500], Loss: 0.0172, PSNR: 20.0293, SSIM: 0.6182\n",
            "Epoch [3/10], Step [740/1500], Loss: 0.0183, PSNR: 19.8841, SSIM: 0.5769\n",
            "Epoch [3/10], Step [750/1500], Loss: 0.0177, PSNR: 19.9770, SSIM: 0.5784\n",
            "Epoch [3/10], Step [760/1500], Loss: 0.0162, PSNR: 18.6616, SSIM: 0.5274\n",
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            "Epoch [3/10], Step [780/1500], Loss: 0.0183, PSNR: 18.7771, SSIM: 0.5631\n",
            "Epoch [3/10], Step [790/1500], Loss: 0.0205, PSNR: 19.1007, SSIM: 0.5271\n",
            "Epoch [3/10], Step [800/1500], Loss: 0.0155, PSNR: 18.8966, SSIM: 0.5799\n",
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            "Epoch [3/10], Step [820/1500], Loss: 0.0246, PSNR: 15.8886, SSIM: 0.4295\n",
            "Epoch [3/10], Step [830/1500], Loss: 0.0186, PSNR: 18.9824, SSIM: 0.4947\n",
            "Epoch [3/10], Step [840/1500], Loss: 0.0174, PSNR: 18.8312, SSIM: 0.5407\n",
            "Epoch [3/10], Step [850/1500], Loss: 0.0192, PSNR: 19.8983, SSIM: 0.5659\n",
            "Epoch [3/10], Step [860/1500], Loss: 0.0256, PSNR: 17.6530, SSIM: 0.5451\n",
            "Epoch [3/10], Step [870/1500], Loss: 0.0167, PSNR: 17.6257, SSIM: 0.5644\n",
            "Epoch [3/10], Step [880/1500], Loss: 0.0161, PSNR: 19.5940, SSIM: 0.5882\n",
            "Epoch [3/10], Step [890/1500], Loss: 0.0228, PSNR: 19.0942, SSIM: 0.5653\n",
            "Epoch [3/10], Step [900/1500], Loss: 0.0166, PSNR: 20.4794, SSIM: 0.5417\n",
            "Epoch [3/10], Step [910/1500], Loss: 0.0185, PSNR: 17.3916, SSIM: 0.5744\n",
            "Epoch [3/10], Step [920/1500], Loss: 0.0150, PSNR: 18.9951, SSIM: 0.6133\n",
            "Epoch [3/10], Step [930/1500], Loss: 0.0198, PSNR: 19.6595, SSIM: 0.5684\n",
            "Epoch [3/10], Step [940/1500], Loss: 0.0147, PSNR: 20.8194, SSIM: 0.5302\n",
            "Epoch [3/10], Step [950/1500], Loss: 0.0158, PSNR: 17.7570, SSIM: 0.5789\n",
            "Epoch [3/10], Step [960/1500], Loss: 0.0199, PSNR: 18.5089, SSIM: 0.5640\n",
            "Epoch [3/10], Step [970/1500], Loss: 0.0202, PSNR: 17.7563, SSIM: 0.5234\n",
            "Epoch [3/10], Step [980/1500], Loss: 0.0166, PSNR: 18.0781, SSIM: 0.5659\n",
            "Epoch [3/10], Step [990/1500], Loss: 0.0204, PSNR: 18.1747, SSIM: 0.5750\n",
            "Epoch [3/10], Step [1000/1500], Loss: 0.0150, PSNR: 20.8376, SSIM: 0.6009\n",
            "Epoch [3/10], Step [1010/1500], Loss: 0.0191, PSNR: 18.1366, SSIM: 0.5742\n",
            "Epoch [3/10], Step [1020/1500], Loss: 0.0191, PSNR: 20.1220, SSIM: 0.5482\n",
            "Epoch [3/10], Step [1030/1500], Loss: 0.0223, PSNR: 19.8669, SSIM: 0.6179\n",
            "Epoch [3/10], Step [1040/1500], Loss: 0.0224, PSNR: 18.2794, SSIM: 0.5714\n",
            "Epoch [3/10], Step [1050/1500], Loss: 0.0186, PSNR: 17.0492, SSIM: 0.5330\n",
            "Epoch [3/10], Step [1060/1500], Loss: 0.0155, PSNR: 18.5160, SSIM: 0.5555\n",
            "Epoch [3/10], Step [1070/1500], Loss: 0.0169, PSNR: 19.1492, SSIM: 0.6093\n",
            "Epoch [3/10], Step [1080/1500], Loss: 0.0125, PSNR: 20.6676, SSIM: 0.6322\n",
            "Epoch [3/10], Step [1090/1500], Loss: 0.0191, PSNR: 18.6336, SSIM: 0.5936\n",
            "Epoch [3/10], Step [1100/1500], Loss: 0.0157, PSNR: 19.2243, SSIM: 0.6297\n",
            "Epoch [3/10], Step [1110/1500], Loss: 0.0183, PSNR: 20.2373, SSIM: 0.6171\n",
            "Epoch [3/10], Step [1120/1500], Loss: 0.0178, PSNR: 19.8205, SSIM: 0.6169\n",
            "Epoch [3/10], Step [1130/1500], Loss: 0.0182, PSNR: 19.5142, SSIM: 0.5989\n",
            "Epoch [3/10], Step [1140/1500], Loss: 0.0214, PSNR: 19.6981, SSIM: 0.5941\n",
            "Epoch [3/10], Step [1150/1500], Loss: 0.0195, PSNR: 17.1181, SSIM: 0.5559\n",
            "Epoch [3/10], Step [1160/1500], Loss: 0.0132, PSNR: 18.7274, SSIM: 0.5678\n",
            "Epoch [3/10], Step [1170/1500], Loss: 0.0167, PSNR: 21.4305, SSIM: 0.6002\n",
            "Epoch [3/10], Step [1180/1500], Loss: 0.0176, PSNR: 17.9899, SSIM: 0.5703\n",
            "Epoch [3/10], Step [1190/1500], Loss: 0.0158, PSNR: 20.5141, SSIM: 0.5785\n",
            "Epoch [3/10], Step [1200/1500], Loss: 0.0127, PSNR: 20.3063, SSIM: 0.5518\n",
            "Epoch [3/10], Step [1210/1500], Loss: 0.0175, PSNR: 20.2589, SSIM: 0.5850\n",
            "Epoch [3/10], Step [1220/1500], Loss: 0.0204, PSNR: 19.3490, SSIM: 0.5931\n",
            "Epoch [3/10], Step [1230/1500], Loss: 0.0203, PSNR: 19.2770, SSIM: 0.5745\n",
            "Epoch [3/10], Step [1240/1500], Loss: 0.0156, PSNR: 19.8866, SSIM: 0.6062\n",
            "Epoch [3/10], Step [1250/1500], Loss: 0.0154, PSNR: 19.6041, SSIM: 0.6595\n",
            "Epoch [3/10], Step [1260/1500], Loss: 0.0192, PSNR: 18.7919, SSIM: 0.6133\n",
            "Epoch [3/10], Step [1270/1500], Loss: 0.0167, PSNR: 19.6223, SSIM: 0.5772\n",
            "Epoch [3/10], Step [1280/1500], Loss: 0.0132, PSNR: 19.4137, SSIM: 0.6282\n",
            "Epoch [3/10], Step [1290/1500], Loss: 0.0173, PSNR: 19.8980, SSIM: 0.6029\n",
            "Epoch [3/10], Step [1300/1500], Loss: 0.0246, PSNR: 19.6637, SSIM: 0.5478\n",
            "Epoch [3/10], Step [1310/1500], Loss: 0.0155, PSNR: 19.6653, SSIM: 0.6517\n",
            "Epoch [3/10], Step [1320/1500], Loss: 0.0174, PSNR: 19.7487, SSIM: 0.6122\n",
            "Epoch [3/10], Step [1330/1500], Loss: 0.0163, PSNR: 19.5148, SSIM: 0.6298\n",
            "Epoch [3/10], Step [1340/1500], Loss: 0.0154, PSNR: 20.0564, SSIM: 0.6270\n",
            "Epoch [3/10], Step [1350/1500], Loss: 0.0208, PSNR: 17.5485, SSIM: 0.5512\n",
            "Epoch [3/10], Step [1360/1500], Loss: 0.0161, PSNR: 19.0542, SSIM: 0.5651\n",
            "Epoch [3/10], Step [1370/1500], Loss: 0.0119, PSNR: 20.3013, SSIM: 0.5978\n",
            "Epoch [3/10], Step [1380/1500], Loss: 0.0187, PSNR: 18.8324, SSIM: 0.5615\n",
            "Epoch [3/10], Step [1390/1500], Loss: 0.0144, PSNR: 19.5074, SSIM: 0.5808\n",
            "Epoch [3/10], Step [1400/1500], Loss: 0.0136, PSNR: 19.5237, SSIM: 0.6544\n",
            "Epoch [3/10], Step [1410/1500], Loss: 0.0144, PSNR: 20.2160, SSIM: 0.6033\n",
            "Epoch [3/10], Step [1420/1500], Loss: 0.0161, PSNR: 17.6568, SSIM: 0.5714\n",
            "Epoch [3/10], Step [1430/1500], Loss: 0.0195, PSNR: 20.0657, SSIM: 0.5893\n",
            "Epoch [3/10], Step [1440/1500], Loss: 0.0162, PSNR: 19.1529, SSIM: 0.5969\n",
            "Epoch [3/10], Step [1450/1500], Loss: 0.0203, PSNR: 18.6453, SSIM: 0.5497\n",
            "Epoch [3/10], Step [1460/1500], Loss: 0.0200, PSNR: 20.6653, SSIM: 0.6009\n",
            "Epoch [3/10], Step [1470/1500], Loss: 0.0146, PSNR: 19.5717, SSIM: 0.6047\n",
            "Epoch [3/10], Step [1480/1500], Loss: 0.0194, PSNR: 19.9251, SSIM: 0.5969\n",
            "Epoch [3/10], Step [1490/1500], Loss: 0.0219, PSNR: 17.7216, SSIM: 0.5719\n",
            "Epoch [3/10], Step [1500/1500], Loss: 0.0226, PSNR: 18.3623, SSIM: 0.5479\n",
            "Epoch [4/10], Step [10/1500], Loss: 0.0165, PSNR: 19.4624, SSIM: 0.5207\n",
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            "Epoch [4/10], Step [30/1500], Loss: 0.0193, PSNR: 17.7077, SSIM: 0.5357\n",
            "Epoch [4/10], Step [40/1500], Loss: 0.0135, PSNR: 19.2383, SSIM: 0.6278\n",
            "Epoch [4/10], Step [50/1500], Loss: 0.0187, PSNR: 18.4052, SSIM: 0.6147\n",
            "Epoch [4/10], Step [60/1500], Loss: 0.0191, PSNR: 17.7535, SSIM: 0.5721\n",
            "Epoch [4/10], Step [70/1500], Loss: 0.0207, PSNR: 17.3118, SSIM: 0.5928\n",
            "Epoch [4/10], Step [80/1500], Loss: 0.0165, PSNR: 18.7589, SSIM: 0.5974\n",
            "Epoch [4/10], Step [90/1500], Loss: 0.0160, PSNR: 18.3735, SSIM: 0.5731\n",
            "Epoch [4/10], Step [100/1500], Loss: 0.0211, PSNR: 19.3574, SSIM: 0.5698\n",
            "Epoch [4/10], Step [110/1500], Loss: 0.0173, PSNR: 20.1603, SSIM: 0.6125\n",
            "Epoch [4/10], Step [120/1500], Loss: 0.0164, PSNR: 19.7274, SSIM: 0.5574\n",
            "Epoch [4/10], Step [130/1500], Loss: 0.0121, PSNR: 20.3145, SSIM: 0.6097\n",
            "Epoch [4/10], Step [140/1500], Loss: 0.0199, PSNR: 17.8948, SSIM: 0.5275\n",
            "Epoch [4/10], Step [150/1500], Loss: 0.0164, PSNR: 18.2248, SSIM: 0.5621\n",
            "Epoch [4/10], Step [160/1500], Loss: 0.0155, PSNR: 19.2683, SSIM: 0.5906\n",
            "Epoch [4/10], Step [170/1500], Loss: 0.0121, PSNR: 19.8157, SSIM: 0.6308\n",
            "Epoch [4/10], Step [180/1500], Loss: 0.0208, PSNR: 18.6723, SSIM: 0.5535\n",
            "Epoch [4/10], Step [190/1500], Loss: 0.0172, PSNR: 18.5372, SSIM: 0.6096\n",
            "Epoch [4/10], Step [200/1500], Loss: 0.0234, PSNR: 16.7950, SSIM: 0.5134\n",
            "Epoch [4/10], Step [210/1500], Loss: 0.0166, PSNR: 18.5129, SSIM: 0.6074\n",
            "Epoch [4/10], Step [220/1500], Loss: 0.0211, PSNR: 20.6514, SSIM: 0.6234\n",
            "Epoch [4/10], Step [230/1500], Loss: 0.0136, PSNR: 20.3846, SSIM: 0.5610\n",
            "Epoch [4/10], Step [240/1500], Loss: 0.0134, PSNR: 20.2420, SSIM: 0.6391\n",
            "Epoch [4/10], Step [250/1500], Loss: 0.0198, PSNR: 18.2500, SSIM: 0.5524\n",
            "Epoch [4/10], Step [260/1500], Loss: 0.0172, PSNR: 19.2303, SSIM: 0.5411\n",
            "Epoch [4/10], Step [270/1500], Loss: 0.0181, PSNR: 20.6351, SSIM: 0.6064\n",
            "Epoch [4/10], Step [280/1500], Loss: 0.0199, PSNR: 17.4143, SSIM: 0.4934\n",
            "Epoch [4/10], Step [290/1500], Loss: 0.0142, PSNR: 21.1644, SSIM: 0.6486\n",
            "Epoch [4/10], Step [300/1500], Loss: 0.0179, PSNR: 16.7476, SSIM: 0.5780\n",
            "Epoch [4/10], Step [310/1500], Loss: 0.0147, PSNR: 20.4523, SSIM: 0.6492\n",
            "Epoch [4/10], Step [320/1500], Loss: 0.0173, PSNR: 19.8457, SSIM: 0.5724\n",
            "Epoch [4/10], Step [330/1500], Loss: 0.0171, PSNR: 18.0509, SSIM: 0.5850\n",
            "Epoch [4/10], Step [340/1500], Loss: 0.0166, PSNR: 19.4705, SSIM: 0.5758\n",
            "Epoch [4/10], Step [350/1500], Loss: 0.0166, PSNR: 19.7574, SSIM: 0.5644\n",
            "Epoch [4/10], Step [360/1500], Loss: 0.0154, PSNR: 19.5525, SSIM: 0.5794\n",
            "Epoch [4/10], Step [370/1500], Loss: 0.0173, PSNR: 18.2872, SSIM: 0.5988\n",
            "Epoch [4/10], Step [380/1500], Loss: 0.0176, PSNR: 19.6995, SSIM: 0.6125\n",
            "Epoch [4/10], Step [390/1500], Loss: 0.0177, PSNR: 19.4934, SSIM: 0.5860\n",
            "Epoch [4/10], Step [400/1500], Loss: 0.0200, PSNR: 17.5704, SSIM: 0.5468\n",
            "Epoch [4/10], Step [410/1500], Loss: 0.0192, PSNR: 18.8471, SSIM: 0.5919\n",
            "Epoch [4/10], Step [420/1500], Loss: 0.0164, PSNR: 19.9453, SSIM: 0.6036\n",
            "Epoch [4/10], Step [430/1500], Loss: 0.0166, PSNR: 19.8673, SSIM: 0.5607\n",
            "Epoch [4/10], Step [440/1500], Loss: 0.0194, PSNR: 20.3750, SSIM: 0.6453\n",
            "Epoch [4/10], Step [450/1500], Loss: 0.0197, PSNR: 18.4563, SSIM: 0.5601\n",
            "Epoch [4/10], Step [460/1500], Loss: 0.0149, PSNR: 20.7167, SSIM: 0.6192\n",
            "Epoch [4/10], Step [470/1500], Loss: 0.0127, PSNR: 19.2882, SSIM: 0.6392\n",
            "Epoch [4/10], Step [480/1500], Loss: 0.0132, PSNR: 18.8286, SSIM: 0.5490\n",
            "Epoch [4/10], Step [490/1500], Loss: 0.0165, PSNR: 18.6382, SSIM: 0.6090\n",
            "Epoch [4/10], Step [500/1500], Loss: 0.0185, PSNR: 19.2793, SSIM: 0.6623\n",
            "Epoch [4/10], Step [510/1500], Loss: 0.0126, PSNR: 19.3277, SSIM: 0.6334\n",
            "Epoch [4/10], Step [520/1500], Loss: 0.0128, PSNR: 19.7215, SSIM: 0.5980\n",
            "Epoch [4/10], Step [530/1500], Loss: 0.0161, PSNR: 18.9653, SSIM: 0.5929\n",
            "Epoch [4/10], Step [540/1500], Loss: 0.0188, PSNR: 20.2074, SSIM: 0.6540\n",
            "Epoch [4/10], Step [550/1500], Loss: 0.0143, PSNR: 19.8221, SSIM: 0.5359\n",
            "Epoch [4/10], Step [560/1500], Loss: 0.0166, PSNR: 18.3061, SSIM: 0.5620\n",
            "Epoch [4/10], Step [570/1500], Loss: 0.0123, PSNR: 20.0176, SSIM: 0.5958\n",
            "Epoch [4/10], Step [580/1500], Loss: 0.0217, PSNR: 18.2341, SSIM: 0.6056\n",
            "Epoch [4/10], Step [590/1500], Loss: 0.0158, PSNR: 18.3355, SSIM: 0.5633\n",
            "Epoch [4/10], Step [600/1500], Loss: 0.0120, PSNR: 21.2517, SSIM: 0.6633\n",
            "Epoch [4/10], Step [610/1500], Loss: 0.0154, PSNR: 20.0766, SSIM: 0.6357\n",
            "Epoch [4/10], Step [620/1500], Loss: 0.0155, PSNR: 19.1448, SSIM: 0.6205\n",
            "Epoch [4/10], Step [630/1500], Loss: 0.0169, PSNR: 19.2213, SSIM: 0.6054\n",
            "Epoch [4/10], Step [640/1500], Loss: 0.0141, PSNR: 19.9705, SSIM: 0.6522\n",
            "Epoch [4/10], Step [650/1500], Loss: 0.0231, PSNR: 20.2743, SSIM: 0.6512\n",
            "Epoch [4/10], Step [660/1500], Loss: 0.0103, PSNR: 19.6984, SSIM: 0.5859\n",
            "Epoch [4/10], Step [670/1500], Loss: 0.0148, PSNR: 21.3198, SSIM: 0.6344\n",
            "Epoch [4/10], Step [680/1500], Loss: 0.0162, PSNR: 18.5325, SSIM: 0.6418\n",
            "Epoch [4/10], Step [690/1500], Loss: 0.0166, PSNR: 18.0451, SSIM: 0.5577\n",
            "Epoch [4/10], Step [700/1500], Loss: 0.0157, PSNR: 19.2069, SSIM: 0.6221\n",
            "Epoch [4/10], Step [710/1500], Loss: 0.0145, PSNR: 19.6748, SSIM: 0.6383\n",
            "Epoch [4/10], Step [720/1500], Loss: 0.0183, PSNR: 17.3198, SSIM: 0.6121\n",
            "Epoch [4/10], Step [730/1500], Loss: 0.0169, PSNR: 17.8555, SSIM: 0.6158\n",
            "Epoch [4/10], Step [740/1500], Loss: 0.0168, PSNR: 18.4264, SSIM: 0.6219\n",
            "Epoch [4/10], Step [750/1500], Loss: 0.0196, PSNR: 21.4688, SSIM: 0.6060\n",
            "Epoch [4/10], Step [760/1500], Loss: 0.0219, PSNR: 16.2535, SSIM: 0.5218\n",
            "Epoch [4/10], Step [770/1500], Loss: 0.0149, PSNR: 21.3034, SSIM: 0.6287\n",
            "Epoch [4/10], Step [780/1500], Loss: 0.0173, PSNR: 19.6334, SSIM: 0.5916\n",
            "Epoch [4/10], Step [790/1500], Loss: 0.0240, PSNR: 18.2938, SSIM: 0.5423\n",
            "Epoch [4/10], Step [800/1500], Loss: 0.0213, PSNR: 17.0129, SSIM: 0.5543\n",
            "Epoch [4/10], Step [810/1500], Loss: 0.0175, PSNR: 17.5537, SSIM: 0.5653\n",
            "Epoch [4/10], Step [820/1500], Loss: 0.0149, PSNR: 19.7439, SSIM: 0.6118\n",
            "Epoch [4/10], Step [830/1500], Loss: 0.0172, PSNR: 19.7054, SSIM: 0.5831\n",
            "Epoch [4/10], Step [840/1500], Loss: 0.0164, PSNR: 18.3463, SSIM: 0.6057\n",
            "Epoch [4/10], Step [850/1500], Loss: 0.0173, PSNR: 20.9798, SSIM: 0.6000\n",
            "Epoch [4/10], Step [860/1500], Loss: 0.0206, PSNR: 16.9693, SSIM: 0.5912\n",
            "Epoch [4/10], Step [870/1500], Loss: 0.0143, PSNR: 18.5908, SSIM: 0.5639\n",
            "Epoch [4/10], Step [880/1500], Loss: 0.0137, PSNR: 22.0996, SSIM: 0.6206\n",
            "Epoch [4/10], Step [890/1500], Loss: 0.0194, PSNR: 18.4701, SSIM: 0.5907\n",
            "Epoch [4/10], Step [900/1500], Loss: 0.0173, PSNR: 19.9210, SSIM: 0.6247\n",
            "Epoch [4/10], Step [910/1500], Loss: 0.0165, PSNR: 18.1977, SSIM: 0.5790\n",
            "Epoch [4/10], Step [920/1500], Loss: 0.0187, PSNR: 18.1068, SSIM: 0.5543\n",
            "Epoch [4/10], Step [930/1500], Loss: 0.0153, PSNR: 19.4058, SSIM: 0.6189\n",
            "Epoch [4/10], Step [940/1500], Loss: 0.0155, PSNR: 18.2362, SSIM: 0.5961\n",
            "Epoch [4/10], Step [950/1500], Loss: 0.0145, PSNR: 19.7524, SSIM: 0.6351\n",
            "Epoch [4/10], Step [960/1500], Loss: 0.0175, PSNR: 18.5671, SSIM: 0.5703\n",
            "Epoch [4/10], Step [970/1500], Loss: 0.0199, PSNR: 19.6454, SSIM: 0.5643\n",
            "Epoch [4/10], Step [980/1500], Loss: 0.0171, PSNR: 19.8611, SSIM: 0.5658\n",
            "Epoch [4/10], Step [990/1500], Loss: 0.0127, PSNR: 22.1093, SSIM: 0.6443\n",
            "Epoch [4/10], Step [1000/1500], Loss: 0.0156, PSNR: 19.0103, SSIM: 0.5949\n",
            "Epoch [4/10], Step [1010/1500], Loss: 0.0186, PSNR: 21.7692, SSIM: 0.5992\n",
            "Epoch [4/10], Step [1020/1500], Loss: 0.0198, PSNR: 19.0834, SSIM: 0.5800\n",
            "Epoch [4/10], Step [1030/1500], Loss: 0.0128, PSNR: 20.8960, SSIM: 0.5520\n",
            "Epoch [4/10], Step [1040/1500], Loss: 0.0176, PSNR: 19.7269, SSIM: 0.6538\n",
            "Epoch [4/10], Step [1050/1500], Loss: 0.0217, PSNR: 19.0327, SSIM: 0.5976\n",
            "Epoch [4/10], Step [1060/1500], Loss: 0.0139, PSNR: 20.6116, SSIM: 0.6279\n",
            "Epoch [4/10], Step [1070/1500], Loss: 0.0155, PSNR: 20.0758, SSIM: 0.6498\n",
            "Epoch [4/10], Step [1080/1500], Loss: 0.0205, PSNR: 17.6095, SSIM: 0.5972\n",
            "Epoch [4/10], Step [1090/1500], Loss: 0.0154, PSNR: 21.2192, SSIM: 0.5894\n",
            "Epoch [4/10], Step [1100/1500], Loss: 0.0178, PSNR: 18.3364, SSIM: 0.5441\n",
            "Epoch [4/10], Step [1110/1500], Loss: 0.0196, PSNR: 17.6343, SSIM: 0.5457\n",
            "Epoch [4/10], Step [1120/1500], Loss: 0.0208, PSNR: 16.1150, SSIM: 0.5443\n",
            "Epoch [4/10], Step [1130/1500], Loss: 0.0192, PSNR: 16.9837, SSIM: 0.5920\n",
            "Epoch [4/10], Step [1140/1500], Loss: 0.0140, PSNR: 19.2755, SSIM: 0.5956\n",
            "Epoch [4/10], Step [1150/1500], Loss: 0.0137, PSNR: 19.5680, SSIM: 0.6154\n",
            "Epoch [4/10], Step [1160/1500], Loss: 0.0175, PSNR: 19.9715, SSIM: 0.6444\n",
            "Epoch [4/10], Step [1170/1500], Loss: 0.0224, PSNR: 15.9712, SSIM: 0.5463\n",
            "Epoch [4/10], Step [1180/1500], Loss: 0.0200, PSNR: 19.7462, SSIM: 0.5577\n",
            "Epoch [4/10], Step [1190/1500], Loss: 0.0116, PSNR: 20.9325, SSIM: 0.6407\n",
            "Epoch [4/10], Step [1200/1500], Loss: 0.0154, PSNR: 18.2543, SSIM: 0.5590\n",
            "Epoch [4/10], Step [1210/1500], Loss: 0.0138, PSNR: 19.5276, SSIM: 0.6515\n",
            "Epoch [4/10], Step [1220/1500], Loss: 0.0176, PSNR: 19.3116, SSIM: 0.6269\n",
            "Epoch [4/10], Step [1230/1500], Loss: 0.0116, PSNR: 20.4356, SSIM: 0.6635\n",
            "Epoch [4/10], Step [1240/1500], Loss: 0.0131, PSNR: 19.9895, SSIM: 0.6510\n",
            "Epoch [4/10], Step [1250/1500], Loss: 0.0178, PSNR: 19.7427, SSIM: 0.6585\n",
            "Epoch [4/10], Step [1260/1500], Loss: 0.0145, PSNR: 18.0351, SSIM: 0.5358\n",
            "Epoch [4/10], Step [1270/1500], Loss: 0.0143, PSNR: 22.2192, SSIM: 0.6303\n",
            "Epoch [4/10], Step [1280/1500], Loss: 0.0157, PSNR: 19.3264, SSIM: 0.5963\n",
            "Epoch [4/10], Step [1290/1500], Loss: 0.0191, PSNR: 18.2621, SSIM: 0.5999\n",
            "Epoch [4/10], Step [1300/1500], Loss: 0.0155, PSNR: 18.1906, SSIM: 0.5465\n",
            "Epoch [4/10], Step [1310/1500], Loss: 0.0201, PSNR: 17.2985, SSIM: 0.5267\n",
            "Epoch [4/10], Step [1320/1500], Loss: 0.0187, PSNR: 18.4374, SSIM: 0.5881\n",
            "Epoch [4/10], Step [1330/1500], Loss: 0.0213, PSNR: 17.2445, SSIM: 0.5172\n",
            "Epoch [4/10], Step [1340/1500], Loss: 0.0189, PSNR: 18.6469, SSIM: 0.5036\n",
            "Epoch [4/10], Step [1350/1500], Loss: 0.0136, PSNR: 17.7159, SSIM: 0.5735\n",
            "Epoch [4/10], Step [1360/1500], Loss: 0.0181, PSNR: 19.2558, SSIM: 0.5909\n",
            "Epoch [4/10], Step [1370/1500], Loss: 0.0168, PSNR: 18.5394, SSIM: 0.5733\n",
            "Epoch [4/10], Step [1380/1500], Loss: 0.0125, PSNR: 21.2056, SSIM: 0.6709\n",
            "Epoch [4/10], Step [1390/1500], Loss: 0.0217, PSNR: 16.1191, SSIM: 0.5911\n",
            "Epoch [4/10], Step [1400/1500], Loss: 0.0180, PSNR: 17.9342, SSIM: 0.5600\n",
            "Epoch [4/10], Step [1410/1500], Loss: 0.0164, PSNR: 18.1173, SSIM: 0.6158\n",
            "Epoch [4/10], Step [1420/1500], Loss: 0.0164, PSNR: 19.7614, SSIM: 0.5858\n",
            "Epoch [4/10], Step [1430/1500], Loss: 0.0155, PSNR: 18.7343, SSIM: 0.5870\n",
            "Epoch [4/10], Step [1440/1500], Loss: 0.0182, PSNR: 18.5603, SSIM: 0.5885\n",
            "Epoch [4/10], Step [1450/1500], Loss: 0.0126, PSNR: 22.2735, SSIM: 0.6828\n",
            "Epoch [4/10], Step [1460/1500], Loss: 0.0153, PSNR: 19.5432, SSIM: 0.6168\n",
            "Epoch [4/10], Step [1470/1500], Loss: 0.0149, PSNR: 19.8034, SSIM: 0.6436\n",
            "Epoch [4/10], Step [1480/1500], Loss: 0.0175, PSNR: 18.4223, SSIM: 0.5762\n",
            "Epoch [4/10], Step [1490/1500], Loss: 0.0174, PSNR: 19.8364, SSIM: 0.5638\n",
            "Epoch [4/10], Step [1500/1500], Loss: 0.0170, PSNR: 18.4488, SSIM: 0.5899\n",
            "Epoch [5/10], Step [10/1500], Loss: 0.0199, PSNR: 18.5975, SSIM: 0.6040\n",
            "Epoch [5/10], Step [20/1500], Loss: 0.0175, PSNR: 17.2730, SSIM: 0.5487\n",
            "Epoch [5/10], Step [30/1500], Loss: 0.0176, PSNR: 20.5275, SSIM: 0.6166\n",
            "Epoch [5/10], Step [40/1500], Loss: 0.0124, PSNR: 20.3886, SSIM: 0.6290\n",
            "Epoch [5/10], Step [50/1500], Loss: 0.0155, PSNR: 19.6591, SSIM: 0.6496\n",
            "Epoch [5/10], Step [60/1500], Loss: 0.0194, PSNR: 18.9905, SSIM: 0.6226\n",
            "Epoch [5/10], Step [70/1500], Loss: 0.0171, PSNR: 20.3837, SSIM: 0.6342\n",
            "Epoch [5/10], Step [80/1500], Loss: 0.0145, PSNR: 18.2385, SSIM: 0.6003\n",
            "Epoch [5/10], Step [90/1500], Loss: 0.0189, PSNR: 19.8790, SSIM: 0.6041\n",
            "Epoch [5/10], Step [100/1500], Loss: 0.0166, PSNR: 21.3891, SSIM: 0.6351\n",
            "Epoch [5/10], Step [110/1500], Loss: 0.0134, PSNR: 20.4158, SSIM: 0.5999\n",
            "Epoch [5/10], Step [120/1500], Loss: 0.0192, PSNR: 19.4443, SSIM: 0.5838\n",
            "Epoch [5/10], Step [130/1500], Loss: 0.0118, PSNR: 19.1715, SSIM: 0.6590\n",
            "Epoch [5/10], Step [140/1500], Loss: 0.0136, PSNR: 20.3120, SSIM: 0.5785\n",
            "Epoch [5/10], Step [150/1500], Loss: 0.0184, PSNR: 18.0401, SSIM: 0.5891\n",
            "Epoch [5/10], Step [160/1500], Loss: 0.0205, PSNR: 17.2430, SSIM: 0.6030\n",
            "Epoch [5/10], Step [170/1500], Loss: 0.0152, PSNR: 19.0981, SSIM: 0.5591\n",
            "Epoch [5/10], Step [180/1500], Loss: 0.0154, PSNR: 19.0957, SSIM: 0.5916\n",
            "Epoch [5/10], Step [190/1500], Loss: 0.0140, PSNR: 19.3535, SSIM: 0.6136\n",
            "Epoch [5/10], Step [200/1500], Loss: 0.0163, PSNR: 21.0752, SSIM: 0.6568\n",
            "Epoch [5/10], Step [210/1500], Loss: 0.0164, PSNR: 19.6167, SSIM: 0.6452\n",
            "Epoch [5/10], Step [220/1500], Loss: 0.0136, PSNR: 19.1804, SSIM: 0.6438\n",
            "Epoch [5/10], Step [230/1500], Loss: 0.0255, PSNR: 17.2052, SSIM: 0.5683\n",
            "Epoch [5/10], Step [240/1500], Loss: 0.0152, PSNR: 18.9382, SSIM: 0.5848\n",
            "Epoch [5/10], Step [250/1500], Loss: 0.0168, PSNR: 18.4386, SSIM: 0.6129\n",
            "Epoch [5/10], Step [260/1500], Loss: 0.0144, PSNR: 18.6621, SSIM: 0.5738\n",
            "Epoch [5/10], Step [270/1500], Loss: 0.0208, PSNR: 19.4424, SSIM: 0.6481\n",
            "Epoch [5/10], Step [280/1500], Loss: 0.0173, PSNR: 19.0702, SSIM: 0.5998\n",
            "Epoch [5/10], Step [290/1500], Loss: 0.0169, PSNR: 18.6132, SSIM: 0.5640\n",
            "Epoch [5/10], Step [300/1500], Loss: 0.0148, PSNR: 20.3775, SSIM: 0.6448\n",
            "Epoch [5/10], Step [310/1500], Loss: 0.0140, PSNR: 19.5472, SSIM: 0.6446\n",
            "Epoch [5/10], Step [320/1500], Loss: 0.0210, PSNR: 16.5742, SSIM: 0.5291\n",
            "Epoch [5/10], Step [330/1500], Loss: 0.0221, PSNR: 19.0304, SSIM: 0.5924\n",
            "Epoch [5/10], Step [340/1500], Loss: 0.0164, PSNR: 19.1364, SSIM: 0.6295\n",
            "Epoch [5/10], Step [350/1500], Loss: 0.0164, PSNR: 19.1914, SSIM: 0.6448\n",
            "Epoch [5/10], Step [360/1500], Loss: 0.0109, PSNR: 21.3047, SSIM: 0.6223\n",
            "Epoch [5/10], Step [370/1500], Loss: 0.0147, PSNR: 18.2053, SSIM: 0.6314\n",
            "Epoch [5/10], Step [380/1500], Loss: 0.0212, PSNR: 18.9028, SSIM: 0.5934\n",
            "Epoch [5/10], Step [390/1500], Loss: 0.0160, PSNR: 19.2480, SSIM: 0.6006\n",
            "Epoch [5/10], Step [400/1500], Loss: 0.0195, PSNR: 17.5080, SSIM: 0.5648\n",
            "Epoch [5/10], Step [410/1500], Loss: 0.0274, PSNR: 16.1828, SSIM: 0.5561\n",
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            "Epoch [5/10], Step [430/1500], Loss: 0.0156, PSNR: 19.4684, SSIM: 0.6047\n",
            "Epoch [5/10], Step [440/1500], Loss: 0.0222, PSNR: 16.6420, SSIM: 0.5629\n",
            "Epoch [5/10], Step [450/1500], Loss: 0.0107, PSNR: 20.7595, SSIM: 0.6154\n",
            "Epoch [5/10], Step [460/1500], Loss: 0.0138, PSNR: 20.6043, SSIM: 0.6129\n",
            "Epoch [5/10], Step [470/1500], Loss: 0.0179, PSNR: 20.9239, SSIM: 0.6436\n",
            "Epoch [5/10], Step [480/1500], Loss: 0.0188, PSNR: 19.8373, SSIM: 0.6139\n",
            "Epoch [5/10], Step [490/1500], Loss: 0.0163, PSNR: 18.4449, SSIM: 0.6747\n",
            "Epoch [5/10], Step [500/1500], Loss: 0.0115, PSNR: 22.0959, SSIM: 0.6608\n",
            "Epoch [5/10], Step [510/1500], Loss: 0.0140, PSNR: 19.9489, SSIM: 0.6463\n",
            "Epoch [5/10], Step [520/1500], Loss: 0.0183, PSNR: 19.0680, SSIM: 0.6273\n",
            "Epoch [5/10], Step [530/1500], Loss: 0.0136, PSNR: 19.8805, SSIM: 0.6558\n",
            "Epoch [5/10], Step [540/1500], Loss: 0.0197, PSNR: 19.5728, SSIM: 0.6342\n",
            "Epoch [5/10], Step [550/1500], Loss: 0.0166, PSNR: 18.9217, SSIM: 0.6441\n",
            "Epoch [5/10], Step [560/1500], Loss: 0.0107, PSNR: 21.2421, SSIM: 0.6875\n",
            "Epoch [5/10], Step [570/1500], Loss: 0.0186, PSNR: 18.3823, SSIM: 0.5828\n",
            "Epoch [5/10], Step [580/1500], Loss: 0.0214, PSNR: 18.7551, SSIM: 0.5838\n",
            "Epoch [5/10], Step [590/1500], Loss: 0.0132, PSNR: 20.0076, SSIM: 0.6360\n",
            "Epoch [5/10], Step [600/1500], Loss: 0.0167, PSNR: 17.8304, SSIM: 0.5874\n",
            "Epoch [5/10], Step [610/1500], Loss: 0.0154, PSNR: 19.9498, SSIM: 0.6632\n",
            "Epoch [5/10], Step [620/1500], Loss: 0.0148, PSNR: 20.6719, SSIM: 0.6769\n",
            "Epoch [5/10], Step [630/1500], Loss: 0.0134, PSNR: 19.7658, SSIM: 0.6316\n",
            "Epoch [5/10], Step [640/1500], Loss: 0.0174, PSNR: 21.6615, SSIM: 0.6821\n",
            "Epoch [5/10], Step [650/1500], Loss: 0.0189, PSNR: 18.0334, SSIM: 0.5761\n",
            "Epoch [5/10], Step [660/1500], Loss: 0.0111, PSNR: 21.4517, SSIM: 0.6033\n",
            "Epoch [5/10], Step [670/1500], Loss: 0.0143, PSNR: 20.1717, SSIM: 0.6527\n",
            "Epoch [5/10], Step [680/1500], Loss: 0.0166, PSNR: 19.6406, SSIM: 0.6290\n",
            "Epoch [5/10], Step [690/1500], Loss: 0.0189, PSNR: 19.9139, SSIM: 0.5852\n",
            "Epoch [5/10], Step [700/1500], Loss: 0.0197, PSNR: 19.5751, SSIM: 0.5927\n",
            "Epoch [5/10], Step [710/1500], Loss: 0.0166, PSNR: 17.8319, SSIM: 0.6138\n",
            "Epoch [5/10], Step [720/1500], Loss: 0.0167, PSNR: 19.1527, SSIM: 0.6395\n",
            "Epoch [5/10], Step [730/1500], Loss: 0.0187, PSNR: 21.1982, SSIM: 0.6787\n",
            "Epoch [5/10], Step [740/1500], Loss: 0.0174, PSNR: 19.7673, SSIM: 0.5954\n",
            "Epoch [5/10], Step [750/1500], Loss: 0.0161, PSNR: 18.7804, SSIM: 0.5738\n",
            "Epoch [5/10], Step [760/1500], Loss: 0.0138, PSNR: 20.4282, SSIM: 0.6114\n",
            "Epoch [5/10], Step [770/1500], Loss: 0.0160, PSNR: 19.3815, SSIM: 0.6725\n",
            "Epoch [5/10], Step [780/1500], Loss: 0.0161, PSNR: 19.2908, SSIM: 0.6395\n",
            "Epoch [5/10], Step [790/1500], Loss: 0.0217, PSNR: 17.6602, SSIM: 0.6001\n",
            "Epoch [5/10], Step [800/1500], Loss: 0.0126, PSNR: 18.5915, SSIM: 0.6105\n",
            "Epoch [5/10], Step [810/1500], Loss: 0.0138, PSNR: 20.3172, SSIM: 0.6333\n",
            "Epoch [5/10], Step [820/1500], Loss: 0.0168, PSNR: 18.3962, SSIM: 0.5306\n",
            "Epoch [5/10], Step [830/1500], Loss: 0.0160, PSNR: 18.5402, SSIM: 0.6132\n",
            "Epoch [5/10], Step [840/1500], Loss: 0.0152, PSNR: 20.3562, SSIM: 0.6018\n",
            "Epoch [5/10], Step [850/1500], Loss: 0.0152, PSNR: 17.8096, SSIM: 0.6299\n",
            "Epoch [5/10], Step [860/1500], Loss: 0.0135, PSNR: 19.4702, SSIM: 0.6669\n",
            "Epoch [5/10], Step [870/1500], Loss: 0.0138, PSNR: 18.7301, SSIM: 0.6113\n",
            "Epoch [5/10], Step [880/1500], Loss: 0.0165, PSNR: 20.4536, SSIM: 0.6139\n",
            "Epoch [5/10], Step [890/1500], Loss: 0.0147, PSNR: 18.9323, SSIM: 0.6011\n",
            "Epoch [5/10], Step [900/1500], Loss: 0.0140, PSNR: 18.9258, SSIM: 0.6008\n",
            "Epoch [5/10], Step [910/1500], Loss: 0.0244, PSNR: 16.9233, SSIM: 0.5578\n",
            "Epoch [5/10], Step [920/1500], Loss: 0.0146, PSNR: 18.2082, SSIM: 0.5521\n",
            "Epoch [5/10], Step [930/1500], Loss: 0.0131, PSNR: 20.2371, SSIM: 0.6318\n",
            "Epoch [5/10], Step [940/1500], Loss: 0.0172, PSNR: 19.5725, SSIM: 0.6468\n",
            "Epoch [5/10], Step [950/1500], Loss: 0.0153, PSNR: 19.9543, SSIM: 0.6275\n",
            "Epoch [5/10], Step [960/1500], Loss: 0.0170, PSNR: 18.7473, SSIM: 0.6438\n",
            "Epoch [5/10], Step [970/1500], Loss: 0.0184, PSNR: 17.3896, SSIM: 0.5521\n",
            "Epoch [5/10], Step [980/1500], Loss: 0.0137, PSNR: 19.9307, SSIM: 0.6183\n",
            "Epoch [5/10], Step [990/1500], Loss: 0.0113, PSNR: 20.4893, SSIM: 0.6494\n",
            "Epoch [5/10], Step [1000/1500], Loss: 0.0193, PSNR: 19.3726, SSIM: 0.6094\n",
            "Epoch [5/10], Step [1010/1500], Loss: 0.0102, PSNR: 19.9241, SSIM: 0.6304\n",
            "Epoch [5/10], Step [1020/1500], Loss: 0.0183, PSNR: 18.9470, SSIM: 0.5862\n",
            "Epoch [5/10], Step [1030/1500], Loss: 0.0211, PSNR: 18.7458, SSIM: 0.6349\n",
            "Epoch [5/10], Step [1040/1500], Loss: 0.0208, PSNR: 20.2077, SSIM: 0.6565\n",
            "Epoch [5/10], Step [1050/1500], Loss: 0.0111, PSNR: 19.2761, SSIM: 0.6364\n",
            "Epoch [5/10], Step [1060/1500], Loss: 0.0168, PSNR: 18.9843, SSIM: 0.6362\n",
            "Epoch [5/10], Step [1070/1500], Loss: 0.0148, PSNR: 20.9663, SSIM: 0.6475\n",
            "Epoch [5/10], Step [1080/1500], Loss: 0.0152, PSNR: 20.7968, SSIM: 0.6607\n",
            "Epoch [5/10], Step [1090/1500], Loss: 0.0131, PSNR: 19.3742, SSIM: 0.6471\n",
            "Epoch [5/10], Step [1100/1500], Loss: 0.0157, PSNR: 20.2962, SSIM: 0.6520\n",
            "Epoch [5/10], Step [1110/1500], Loss: 0.0149, PSNR: 19.7229, SSIM: 0.6163\n",
            "Epoch [5/10], Step [1120/1500], Loss: 0.0133, PSNR: 20.0078, SSIM: 0.6638\n",
            "Epoch [5/10], Step [1130/1500], Loss: 0.0141, PSNR: 19.0619, SSIM: 0.6180\n",
            "Epoch [5/10], Step [1140/1500], Loss: 0.0168, PSNR: 19.3196, SSIM: 0.6484\n",
            "Epoch [5/10], Step [1150/1500], Loss: 0.0175, PSNR: 19.1049, SSIM: 0.6885\n",
            "Epoch [5/10], Step [1160/1500], Loss: 0.0195, PSNR: 20.9233, SSIM: 0.6103\n",
            "Epoch [5/10], Step [1170/1500], Loss: 0.0139, PSNR: 20.2803, SSIM: 0.6125\n",
            "Epoch [5/10], Step [1180/1500], Loss: 0.0166, PSNR: 19.3224, SSIM: 0.6150\n",
            "Epoch [5/10], Step [1190/1500], Loss: 0.0149, PSNR: 18.4032, SSIM: 0.6065\n",
            "Epoch [5/10], Step [1200/1500], Loss: 0.0174, PSNR: 19.4064, SSIM: 0.6375\n",
            "Epoch [5/10], Step [1210/1500], Loss: 0.0163, PSNR: 19.3762, SSIM: 0.6023\n",
            "Epoch [5/10], Step [1220/1500], Loss: 0.0180, PSNR: 19.5807, SSIM: 0.6089\n",
            "Epoch [5/10], Step [1230/1500], Loss: 0.0177, PSNR: 19.0286, SSIM: 0.6119\n",
            "Epoch [5/10], Step [1240/1500], Loss: 0.0176, PSNR: 18.9853, SSIM: 0.5889\n",
            "Epoch [5/10], Step [1250/1500], Loss: 0.0136, PSNR: 20.7479, SSIM: 0.6637\n",
            "Epoch [5/10], Step [1260/1500], Loss: 0.0222, PSNR: 20.4056, SSIM: 0.6160\n",
            "Epoch [5/10], Step [1270/1500], Loss: 0.0129, PSNR: 19.5338, SSIM: 0.5969\n",
            "Epoch [5/10], Step [1280/1500], Loss: 0.0169, PSNR: 17.8204, SSIM: 0.5444\n",
            "Epoch [5/10], Step [1290/1500], Loss: 0.0130, PSNR: 21.1951, SSIM: 0.6243\n",
            "Epoch [5/10], Step [1300/1500], Loss: 0.0138, PSNR: 19.6456, SSIM: 0.6082\n",
            "Epoch [5/10], Step [1310/1500], Loss: 0.0202, PSNR: 20.5887, SSIM: 0.6253\n",
            "Epoch [5/10], Step [1320/1500], Loss: 0.0164, PSNR: 18.9864, SSIM: 0.6274\n",
            "Epoch [5/10], Step [1330/1500], Loss: 0.0139, PSNR: 19.0156, SSIM: 0.6159\n",
            "Epoch [5/10], Step [1340/1500], Loss: 0.0135, PSNR: 19.1447, SSIM: 0.6774\n",
            "Epoch [5/10], Step [1350/1500], Loss: 0.0176, PSNR: 17.8789, SSIM: 0.6222\n",
            "Epoch [5/10], Step [1360/1500], Loss: 0.0144, PSNR: 18.9883, SSIM: 0.6542\n",
            "Epoch [5/10], Step [1370/1500], Loss: 0.0196, PSNR: 18.9123, SSIM: 0.6316\n",
            "Epoch [5/10], Step [1380/1500], Loss: 0.0184, PSNR: 16.5699, SSIM: 0.5636\n",
            "Epoch [5/10], Step [1390/1500], Loss: 0.0129, PSNR: 21.1976, SSIM: 0.5960\n",
            "Epoch [5/10], Step [1400/1500], Loss: 0.0141, PSNR: 19.8654, SSIM: 0.6517\n",
            "Epoch [5/10], Step [1410/1500], Loss: 0.0152, PSNR: 20.6236, SSIM: 0.6858\n",
            "Epoch [5/10], Step [1420/1500], Loss: 0.0163, PSNR: 20.0100, SSIM: 0.6453\n",
            "Epoch [5/10], Step [1430/1500], Loss: 0.0146, PSNR: 19.1758, SSIM: 0.5924\n",
            "Epoch [5/10], Step [1440/1500], Loss: 0.0130, PSNR: 20.2142, SSIM: 0.6409\n",
            "Epoch [5/10], Step [1450/1500], Loss: 0.0148, PSNR: 19.6728, SSIM: 0.5794\n",
            "Epoch [5/10], Step [1460/1500], Loss: 0.0166, PSNR: 19.4961, SSIM: 0.6522\n",
            "Epoch [5/10], Step [1470/1500], Loss: 0.0175, PSNR: 19.7499, SSIM: 0.6304\n",
            "Epoch [5/10], Step [1480/1500], Loss: 0.0169, PSNR: 18.3633, SSIM: 0.6208\n",
            "Epoch [5/10], Step [1490/1500], Loss: 0.0176, PSNR: 20.4183, SSIM: 0.5715\n",
            "Epoch [5/10], Step [1500/1500], Loss: 0.0154, PSNR: 18.9602, SSIM: 0.6111\n",
            "Epoch [6/10], Step [10/1500], Loss: 0.0188, PSNR: 19.5473, SSIM: 0.6596\n",
            "Epoch [6/10], Step [20/1500], Loss: 0.0155, PSNR: 18.3793, SSIM: 0.6110\n",
            "Epoch [6/10], Step [30/1500], Loss: 0.0195, PSNR: 19.4425, SSIM: 0.6043\n",
            "Epoch [6/10], Step [40/1500], Loss: 0.0146, PSNR: 19.4027, SSIM: 0.6213\n",
            "Epoch [6/10], Step [50/1500], Loss: 0.0213, PSNR: 19.4765, SSIM: 0.5923\n",
            "Epoch [6/10], Step [60/1500], Loss: 0.0138, PSNR: 19.0739, SSIM: 0.5827\n",
            "Epoch [6/10], Step [70/1500], Loss: 0.0195, PSNR: 17.7875, SSIM: 0.5660\n",
            "Epoch [6/10], Step [80/1500], Loss: 0.0138, PSNR: 19.1338, SSIM: 0.5310\n",
            "Epoch [6/10], Step [90/1500], Loss: 0.0207, PSNR: 18.3221, SSIM: 0.5025\n",
            "Epoch [6/10], Step [100/1500], Loss: 0.0181, PSNR: 19.8551, SSIM: 0.5131\n",
            "Epoch [6/10], Step [110/1500], Loss: 0.0180, PSNR: 19.5971, SSIM: 0.5636\n",
            "Epoch [6/10], Step [120/1500], Loss: 0.0188, PSNR: 18.2602, SSIM: 0.5974\n",
            "Epoch [6/10], Step [130/1500], Loss: 0.0245, PSNR: 16.8020, SSIM: 0.5066\n",
            "Epoch [6/10], Step [140/1500], Loss: 0.0154, PSNR: 19.5388, SSIM: 0.6330\n",
            "Epoch [6/10], Step [150/1500], Loss: 0.0140, PSNR: 20.0634, SSIM: 0.6286\n",
            "Epoch [6/10], Step [160/1500], Loss: 0.0131, PSNR: 18.3301, SSIM: 0.6307\n",
            "Epoch [6/10], Step [170/1500], Loss: 0.0164, PSNR: 19.6918, SSIM: 0.5883\n",
            "Epoch [6/10], Step [180/1500], Loss: 0.0165, PSNR: 20.9595, SSIM: 0.6007\n",
            "Epoch [6/10], Step [190/1500], Loss: 0.0164, PSNR: 19.7193, SSIM: 0.6081\n",
            "Epoch [6/10], Step [200/1500], Loss: 0.0151, PSNR: 19.2361, SSIM: 0.6673\n",
            "Epoch [6/10], Step [210/1500], Loss: 0.0177, PSNR: 21.4842, SSIM: 0.6501\n",
            "Epoch [6/10], Step [220/1500], Loss: 0.0211, PSNR: 18.2300, SSIM: 0.5729\n",
            "Epoch [6/10], Step [230/1500], Loss: 0.0198, PSNR: 19.9004, SSIM: 0.6045\n",
            "Epoch [6/10], Step [240/1500], Loss: 0.0143, PSNR: 19.5404, SSIM: 0.6162\n",
            "Epoch [6/10], Step [250/1500], Loss: 0.0142, PSNR: 19.7657, SSIM: 0.6976\n",
            "Epoch [6/10], Step [260/1500], Loss: 0.0180, PSNR: 16.8647, SSIM: 0.6016\n",
            "Epoch [6/10], Step [270/1500], Loss: 0.0165, PSNR: 20.3306, SSIM: 0.6571\n",
            "Epoch [6/10], Step [280/1500], Loss: 0.0176, PSNR: 18.8763, SSIM: 0.5765\n",
            "Epoch [6/10], Step [290/1500], Loss: 0.0187, PSNR: 18.4489, SSIM: 0.5910\n",
            "Epoch [6/10], Step [300/1500], Loss: 0.0169, PSNR: 20.1183, SSIM: 0.6031\n",
            "Epoch [6/10], Step [310/1500], Loss: 0.0209, PSNR: 19.8599, SSIM: 0.5707\n",
            "Epoch [6/10], Step [320/1500], Loss: 0.0130, PSNR: 20.0003, SSIM: 0.6566\n",
            "Epoch [6/10], Step [330/1500], Loss: 0.0217, PSNR: 19.9281, SSIM: 0.6822\n",
            "Epoch [6/10], Step [340/1500], Loss: 0.0202, PSNR: 17.2654, SSIM: 0.5508\n",
            "Epoch [6/10], Step [350/1500], Loss: 0.0142, PSNR: 18.8663, SSIM: 0.6154\n",
            "Epoch [6/10], Step [360/1500], Loss: 0.0190, PSNR: 19.4417, SSIM: 0.6451\n",
            "Epoch [6/10], Step [370/1500], Loss: 0.0190, PSNR: 19.6686, SSIM: 0.6155\n",
            "Epoch [6/10], Step [380/1500], Loss: 0.0173, PSNR: 19.2467, SSIM: 0.6061\n",
            "Epoch [6/10], Step [390/1500], Loss: 0.0139, PSNR: 20.7209, SSIM: 0.6822\n",
            "Epoch [6/10], Step [400/1500], Loss: 0.0161, PSNR: 19.0180, SSIM: 0.6017\n",
            "Epoch [6/10], Step [410/1500], Loss: 0.0159, PSNR: 18.5562, SSIM: 0.6404\n",
            "Epoch [6/10], Step [420/1500], Loss: 0.0116, PSNR: 22.0237, SSIM: 0.6472\n",
            "Epoch [6/10], Step [430/1500], Loss: 0.0175, PSNR: 19.2345, SSIM: 0.6455\n",
            "Epoch [6/10], Step [440/1500], Loss: 0.0109, PSNR: 19.9773, SSIM: 0.7016\n",
            "Epoch [6/10], Step [450/1500], Loss: 0.0127, PSNR: 19.5315, SSIM: 0.6292\n",
            "Epoch [6/10], Step [460/1500], Loss: 0.0145, PSNR: 18.9095, SSIM: 0.6137\n",
            "Epoch [6/10], Step [470/1500], Loss: 0.0167, PSNR: 18.2259, SSIM: 0.5926\n",
            "Epoch [6/10], Step [480/1500], Loss: 0.0163, PSNR: 20.9946, SSIM: 0.6913\n",
            "Epoch [6/10], Step [490/1500], Loss: 0.0150, PSNR: 20.7615, SSIM: 0.6374\n",
            "Epoch [6/10], Step [500/1500], Loss: 0.0154, PSNR: 19.5556, SSIM: 0.6056\n",
            "Epoch [6/10], Step [510/1500], Loss: 0.0168, PSNR: 19.9148, SSIM: 0.6377\n",
            "Epoch [6/10], Step [520/1500], Loss: 0.0152, PSNR: 19.8100, SSIM: 0.6069\n",
            "Epoch [6/10], Step [530/1500], Loss: 0.0153, PSNR: 18.1901, SSIM: 0.5734\n",
            "Epoch [6/10], Step [540/1500], Loss: 0.0131, PSNR: 19.6674, SSIM: 0.6592\n",
            "Epoch [6/10], Step [550/1500], Loss: 0.0177, PSNR: 18.3739, SSIM: 0.5880\n",
            "Epoch [6/10], Step [560/1500], Loss: 0.0141, PSNR: 20.2864, SSIM: 0.6793\n",
            "Epoch [6/10], Step [570/1500], Loss: 0.0124, PSNR: 20.1227, SSIM: 0.6255\n",
            "Epoch [6/10], Step [580/1500], Loss: 0.0108, PSNR: 19.0894, SSIM: 0.6535\n",
            "Epoch [6/10], Step [590/1500], Loss: 0.0162, PSNR: 18.6025, SSIM: 0.5813\n",
            "Epoch [6/10], Step [600/1500], Loss: 0.0140, PSNR: 21.0292, SSIM: 0.6564\n",
            "Epoch [6/10], Step [610/1500], Loss: 0.0161, PSNR: 21.1418, SSIM: 0.7102\n",
            "Epoch [6/10], Step [620/1500], Loss: 0.0174, PSNR: 20.8080, SSIM: 0.6332\n",
            "Epoch [6/10], Step [630/1500], Loss: 0.0164, PSNR: 18.7723, SSIM: 0.6565\n",
            "Epoch [6/10], Step [640/1500], Loss: 0.0144, PSNR: 20.8673, SSIM: 0.6851\n",
            "Epoch [6/10], Step [650/1500], Loss: 0.0202, PSNR: 18.0680, SSIM: 0.5912\n",
            "Epoch [6/10], Step [660/1500], Loss: 0.0150, PSNR: 20.4551, SSIM: 0.6095\n",
            "Epoch [6/10], Step [670/1500], Loss: 0.0176, PSNR: 16.9902, SSIM: 0.5558\n",
            "Epoch [6/10], Step [680/1500], Loss: 0.0173, PSNR: 18.1163, SSIM: 0.6673\n",
            "Epoch [6/10], Step [690/1500], Loss: 0.0169, PSNR: 18.7162, SSIM: 0.6544\n",
            "Epoch [6/10], Step [700/1500], Loss: 0.0193, PSNR: 18.0189, SSIM: 0.5708\n",
            "Epoch [6/10], Step [710/1500], Loss: 0.0134, PSNR: 19.9957, SSIM: 0.6826\n",
            "Epoch [6/10], Step [720/1500], Loss: 0.0177, PSNR: 18.0778, SSIM: 0.5888\n",
            "Epoch [6/10], Step [730/1500], Loss: 0.0170, PSNR: 20.0156, SSIM: 0.6246\n",
            "Epoch [6/10], Step [740/1500], Loss: 0.0177, PSNR: 17.9358, SSIM: 0.6706\n",
            "Epoch [6/10], Step [750/1500], Loss: 0.0144, PSNR: 16.9688, SSIM: 0.5405\n",
            "Epoch [6/10], Step [760/1500], Loss: 0.0167, PSNR: 20.7968, SSIM: 0.6619\n",
            "Epoch [6/10], Step [770/1500], Loss: 0.0161, PSNR: 19.4811, SSIM: 0.6699\n",
            "Epoch [6/10], Step [780/1500], Loss: 0.0133, PSNR: 21.3409, SSIM: 0.6339\n",
            "Epoch [6/10], Step [790/1500], Loss: 0.0156, PSNR: 19.4360, SSIM: 0.6005\n",
            "Epoch [6/10], Step [800/1500], Loss: 0.0165, PSNR: 19.6704, SSIM: 0.5603\n",
            "Epoch [6/10], Step [810/1500], Loss: 0.0219, PSNR: 20.6712, SSIM: 0.6605\n",
            "Epoch [6/10], Step [820/1500], Loss: 0.0122, PSNR: 20.6130, SSIM: 0.6484\n",
            "Epoch [6/10], Step [830/1500], Loss: 0.0136, PSNR: 20.4608, SSIM: 0.7098\n",
            "Epoch [6/10], Step [840/1500], Loss: 0.0125, PSNR: 21.6599, SSIM: 0.7203\n",
            "Epoch [6/10], Step [850/1500], Loss: 0.0152, PSNR: 19.3990, SSIM: 0.6393\n",
            "Epoch [6/10], Step [860/1500], Loss: 0.0135, PSNR: 21.5824, SSIM: 0.7053\n",
            "Epoch [6/10], Step [870/1500], Loss: 0.0181, PSNR: 17.6149, SSIM: 0.6062\n",
            "Epoch [6/10], Step [880/1500], Loss: 0.0140, PSNR: 20.1922, SSIM: 0.6491\n",
            "Epoch [6/10], Step [890/1500], Loss: 0.0156, PSNR: 17.6991, SSIM: 0.5464\n",
            "Epoch [6/10], Step [900/1500], Loss: 0.0162, PSNR: 18.2608, SSIM: 0.6138\n",
            "Epoch [6/10], Step [910/1500], Loss: 0.0118, PSNR: 21.0181, SSIM: 0.6727\n",
            "Epoch [6/10], Step [920/1500], Loss: 0.0124, PSNR: 19.6943, SSIM: 0.6899\n",
            "Epoch [6/10], Step [930/1500], Loss: 0.0169, PSNR: 19.3222, SSIM: 0.6223\n",
            "Epoch [6/10], Step [940/1500], Loss: 0.0204, PSNR: 19.1468, SSIM: 0.6159\n",
            "Epoch [6/10], Step [950/1500], Loss: 0.0142, PSNR: 19.8968, SSIM: 0.6256\n",
            "Epoch [6/10], Step [960/1500], Loss: 0.0150, PSNR: 20.5972, SSIM: 0.6546\n",
            "Epoch [6/10], Step [970/1500], Loss: 0.0147, PSNR: 20.2028, SSIM: 0.6523\n",
            "Epoch [6/10], Step [980/1500], Loss: 0.0237, PSNR: 18.7334, SSIM: 0.6235\n",
            "Epoch [6/10], Step [990/1500], Loss: 0.0188, PSNR: 20.3842, SSIM: 0.6172\n",
            "Epoch [6/10], Step [1000/1500], Loss: 0.0166, PSNR: 20.5618, SSIM: 0.6920\n",
            "Epoch [6/10], Step [1010/1500], Loss: 0.0147, PSNR: 20.4520, SSIM: 0.6247\n",
            "Epoch [6/10], Step [1020/1500], Loss: 0.0126, PSNR: 20.9057, SSIM: 0.6578\n",
            "Epoch [6/10], Step [1030/1500], Loss: 0.0109, PSNR: 20.4500, SSIM: 0.6971\n",
            "Epoch [6/10], Step [1040/1500], Loss: 0.0098, PSNR: 21.9629, SSIM: 0.6752\n",
            "Epoch [6/10], Step [1050/1500], Loss: 0.0148, PSNR: 19.4607, SSIM: 0.6075\n",
            "Epoch [6/10], Step [1060/1500], Loss: 0.0154, PSNR: 18.2725, SSIM: 0.5946\n",
            "Epoch [6/10], Step [1070/1500], Loss: 0.0154, PSNR: 19.1272, SSIM: 0.6511\n",
            "Epoch [6/10], Step [1080/1500], Loss: 0.0178, PSNR: 19.0657, SSIM: 0.6488\n",
            "Epoch [6/10], Step [1090/1500], Loss: 0.0129, PSNR: 22.5791, SSIM: 0.7473\n",
            "Epoch [6/10], Step [1100/1500], Loss: 0.0193, PSNR: 19.3520, SSIM: 0.6746\n",
            "Epoch [6/10], Step [1110/1500], Loss: 0.0146, PSNR: 18.7935, SSIM: 0.5967\n",
            "Epoch [6/10], Step [1120/1500], Loss: 0.0116, PSNR: 21.4726, SSIM: 0.6999\n",
            "Epoch [6/10], Step [1130/1500], Loss: 0.0135, PSNR: 21.2970, SSIM: 0.6730\n",
            "Epoch [6/10], Step [1140/1500], Loss: 0.0158, PSNR: 18.5861, SSIM: 0.5362\n",
            "Epoch [6/10], Step [1150/1500], Loss: 0.0112, PSNR: 20.4107, SSIM: 0.6367\n",
            "Epoch [6/10], Step [1160/1500], Loss: 0.0134, PSNR: 20.7929, SSIM: 0.6339\n",
            "Epoch [6/10], Step [1170/1500], Loss: 0.0157, PSNR: 18.0600, SSIM: 0.5360\n",
            "Epoch [6/10], Step [1180/1500], Loss: 0.0200, PSNR: 18.3839, SSIM: 0.6409\n",
            "Epoch [6/10], Step [1190/1500], Loss: 0.0181, PSNR: 18.6816, SSIM: 0.5911\n",
            "Epoch [6/10], Step [1200/1500], Loss: 0.0151, PSNR: 19.8089, SSIM: 0.6013\n",
            "Epoch [6/10], Step [1210/1500], Loss: 0.0126, PSNR: 21.1666, SSIM: 0.6867\n",
            "Epoch [6/10], Step [1220/1500], Loss: 0.0141, PSNR: 19.3451, SSIM: 0.6633\n",
            "Epoch [6/10], Step [1230/1500], Loss: 0.0144, PSNR: 21.0343, SSIM: 0.6535\n",
            "Epoch [6/10], Step [1240/1500], Loss: 0.0146, PSNR: 19.8105, SSIM: 0.6581\n",
            "Epoch [6/10], Step [1250/1500], Loss: 0.0106, PSNR: 20.2253, SSIM: 0.6759\n",
            "Epoch [6/10], Step [1260/1500], Loss: 0.0101, PSNR: 21.3065, SSIM: 0.6807\n",
            "Epoch [6/10], Step [1270/1500], Loss: 0.0148, PSNR: 20.0326, SSIM: 0.6496\n",
            "Epoch [6/10], Step [1280/1500], Loss: 0.0167, PSNR: 16.7840, SSIM: 0.6221\n",
            "Epoch [6/10], Step [1290/1500], Loss: 0.0152, PSNR: 18.5894, SSIM: 0.6572\n",
            "Epoch [6/10], Step [1300/1500], Loss: 0.0153, PSNR: 19.6184, SSIM: 0.6163\n",
            "Epoch [6/10], Step [1310/1500], Loss: 0.0177, PSNR: 20.6591, SSIM: 0.6541\n",
            "Epoch [6/10], Step [1320/1500], Loss: 0.0180, PSNR: 20.0801, SSIM: 0.6527\n",
            "Epoch [6/10], Step [1330/1500], Loss: 0.0169, PSNR: 16.5761, SSIM: 0.5873\n",
            "Epoch [6/10], Step [1340/1500], Loss: 0.0121, PSNR: 18.8446, SSIM: 0.6039\n",
            "Epoch [6/10], Step [1350/1500], Loss: 0.0177, PSNR: 17.1047, SSIM: 0.5899\n",
            "Epoch [6/10], Step [1360/1500], Loss: 0.0160, PSNR: 19.6952, SSIM: 0.6687\n",
            "Epoch [6/10], Step [1370/1500], Loss: 0.0186, PSNR: 19.4168, SSIM: 0.6419\n",
            "Epoch [6/10], Step [1380/1500], Loss: 0.0125, PSNR: 20.5462, SSIM: 0.7036\n",
            "Epoch [6/10], Step [1390/1500], Loss: 0.0144, PSNR: 20.5143, SSIM: 0.7135\n",
            "Epoch [6/10], Step [1400/1500], Loss: 0.0168, PSNR: 19.3271, SSIM: 0.7002\n",
            "Epoch [6/10], Step [1410/1500], Loss: 0.0157, PSNR: 19.7141, SSIM: 0.6564\n",
            "Epoch [6/10], Step [1420/1500], Loss: 0.0135, PSNR: 19.5458, SSIM: 0.6423\n",
            "Epoch [6/10], Step [1430/1500], Loss: 0.0173, PSNR: 20.3936, SSIM: 0.6776\n",
            "Epoch [6/10], Step [1440/1500], Loss: 0.0142, PSNR: 19.1023, SSIM: 0.6700\n",
            "Epoch [6/10], Step [1450/1500], Loss: 0.0167, PSNR: 19.2252, SSIM: 0.6494\n",
            "Epoch [6/10], Step [1460/1500], Loss: 0.0163, PSNR: 19.7359, SSIM: 0.6817\n",
            "Epoch [6/10], Step [1470/1500], Loss: 0.0133, PSNR: 20.0260, SSIM: 0.6732\n",
            "Epoch [6/10], Step [1480/1500], Loss: 0.0163, PSNR: 18.8975, SSIM: 0.6140\n",
            "Epoch [6/10], Step [1490/1500], Loss: 0.0124, PSNR: 19.8348, SSIM: 0.6003\n",
            "Epoch [6/10], Step [1500/1500], Loss: 0.0152, PSNR: 20.9972, SSIM: 0.6443\n",
            "Epoch [7/10], Step [10/1500], Loss: 0.0142, PSNR: 22.0952, SSIM: 0.6921\n",
            "Epoch [7/10], Step [20/1500], Loss: 0.0188, PSNR: 19.6879, SSIM: 0.6589\n",
            "Epoch [7/10], Step [30/1500], Loss: 0.0163, PSNR: 20.2374, SSIM: 0.6813\n",
            "Epoch [7/10], Step [40/1500], Loss: 0.0151, PSNR: 20.1881, SSIM: 0.6408\n",
            "Epoch [7/10], Step [50/1500], Loss: 0.0152, PSNR: 20.9733, SSIM: 0.6572\n",
            "Epoch [7/10], Step [60/1500], Loss: 0.0202, PSNR: 17.8538, SSIM: 0.6310\n",
            "Epoch [7/10], Step [70/1500], Loss: 0.0164, PSNR: 20.5106, SSIM: 0.6449\n",
            "Epoch [7/10], Step [80/1500], Loss: 0.0163, PSNR: 19.2526, SSIM: 0.6550\n",
            "Epoch [7/10], Step [90/1500], Loss: 0.0165, PSNR: 19.0206, SSIM: 0.5595\n",
            "Epoch [7/10], Step [100/1500], Loss: 0.0151, PSNR: 19.1584, SSIM: 0.6818\n",
            "Epoch [7/10], Step [110/1500], Loss: 0.0161, PSNR: 20.8755, SSIM: 0.6083\n",
            "Epoch [7/10], Step [120/1500], Loss: 0.0108, PSNR: 20.2060, SSIM: 0.6407\n",
            "Epoch [7/10], Step [130/1500], Loss: 0.0124, PSNR: 20.3847, SSIM: 0.6890\n",
            "Epoch [7/10], Step [140/1500], Loss: 0.0122, PSNR: 20.7134, SSIM: 0.7109\n",
            "Epoch [7/10], Step [150/1500], Loss: 0.0152, PSNR: 17.9909, SSIM: 0.6527\n",
            "Epoch [7/10], Step [160/1500], Loss: 0.0140, PSNR: 19.1973, SSIM: 0.6631\n",
            "Epoch [7/10], Step [170/1500], Loss: 0.0213, PSNR: 19.3774, SSIM: 0.6217\n",
            "Epoch [7/10], Step [180/1500], Loss: 0.0181, PSNR: 19.8883, SSIM: 0.6682\n",
            "Epoch [7/10], Step [190/1500], Loss: 0.0161, PSNR: 20.0399, SSIM: 0.6548\n",
            "Epoch [7/10], Step [200/1500], Loss: 0.0132, PSNR: 19.3037, SSIM: 0.6086\n",
            "Epoch [7/10], Step [210/1500], Loss: 0.0199, PSNR: 21.5683, SSIM: 0.6723\n",
            "Epoch [7/10], Step [220/1500], Loss: 0.0152, PSNR: 20.0633, SSIM: 0.6301\n",
            "Epoch [7/10], Step [230/1500], Loss: 0.0128, PSNR: 20.0246, SSIM: 0.6143\n",
            "Epoch [7/10], Step [240/1500], Loss: 0.0188, PSNR: 18.8259, SSIM: 0.6124\n",
            "Epoch [7/10], Step [250/1500], Loss: 0.0149, PSNR: 20.7595, SSIM: 0.6396\n",
            "Epoch [7/10], Step [260/1500], Loss: 0.0113, PSNR: 20.2388, SSIM: 0.5911\n",
            "Epoch [7/10], Step [270/1500], Loss: 0.0165, PSNR: 20.0149, SSIM: 0.6263\n",
            "Epoch [7/10], Step [280/1500], Loss: 0.0197, PSNR: 17.9716, SSIM: 0.6097\n",
            "Epoch [7/10], Step [290/1500], Loss: 0.0181, PSNR: 16.4817, SSIM: 0.5710\n",
            "Epoch [7/10], Step [300/1500], Loss: 0.0157, PSNR: 19.1133, SSIM: 0.5530\n",
            "Epoch [7/10], Step [310/1500], Loss: 0.0136, PSNR: 20.1389, SSIM: 0.6051\n",
            "Epoch [7/10], Step [320/1500], Loss: 0.0215, PSNR: 16.9650, SSIM: 0.5998\n",
            "Epoch [7/10], Step [330/1500], Loss: 0.0149, PSNR: 18.8108, SSIM: 0.6277\n",
            "Epoch [7/10], Step [340/1500], Loss: 0.0164, PSNR: 18.3908, SSIM: 0.6105\n",
            "Epoch [7/10], Step [350/1500], Loss: 0.0134, PSNR: 18.8426, SSIM: 0.6225\n",
            "Epoch [7/10], Step [360/1500], Loss: 0.0120, PSNR: 20.2820, SSIM: 0.6666\n",
            "Epoch [7/10], Step [370/1500], Loss: 0.0143, PSNR: 19.9241, SSIM: 0.6991\n",
            "Epoch [7/10], Step [380/1500], Loss: 0.0147, PSNR: 18.1921, SSIM: 0.6232\n",
            "Epoch [7/10], Step [390/1500], Loss: 0.0149, PSNR: 20.4665, SSIM: 0.6790\n",
            "Epoch [7/10], Step [400/1500], Loss: 0.0125, PSNR: 21.0421, SSIM: 0.6815\n",
            "Epoch [7/10], Step [410/1500], Loss: 0.0146, PSNR: 19.8566, SSIM: 0.6184\n",
            "Epoch [7/10], Step [420/1500], Loss: 0.0138, PSNR: 20.2717, SSIM: 0.6516\n",
            "Epoch [7/10], Step [430/1500], Loss: 0.0171, PSNR: 19.8715, SSIM: 0.6608\n",
            "Epoch [7/10], Step [440/1500], Loss: 0.0152, PSNR: 19.8230, SSIM: 0.6758\n",
            "Epoch [7/10], Step [450/1500], Loss: 0.0127, PSNR: 20.6472, SSIM: 0.6541\n",
            "Epoch [7/10], Step [460/1500], Loss: 0.0204, PSNR: 18.2059, SSIM: 0.6516\n",
            "Epoch [7/10], Step [470/1500], Loss: 0.0121, PSNR: 20.4308, SSIM: 0.6306\n",
            "Epoch [7/10], Step [480/1500], Loss: 0.0172, PSNR: 20.2926, SSIM: 0.6697\n",
            "Epoch [7/10], Step [490/1500], Loss: 0.0123, PSNR: 20.7234, SSIM: 0.6727\n",
            "Epoch [7/10], Step [500/1500], Loss: 0.0168, PSNR: 20.2166, SSIM: 0.6933\n",
            "Epoch [7/10], Step [510/1500], Loss: 0.0144, PSNR: 19.9427, SSIM: 0.6431\n",
            "Epoch [7/10], Step [520/1500], Loss: 0.0106, PSNR: 20.2157, SSIM: 0.7054\n",
            "Epoch [7/10], Step [530/1500], Loss: 0.0136, PSNR: 19.6489, SSIM: 0.6635\n",
            "Epoch [7/10], Step [540/1500], Loss: 0.0110, PSNR: 19.3730, SSIM: 0.6472\n",
            "Epoch [7/10], Step [550/1500], Loss: 0.0119, PSNR: 19.7517, SSIM: 0.6516\n",
            "Epoch [7/10], Step [560/1500], Loss: 0.0156, PSNR: 20.7435, SSIM: 0.6600\n",
            "Epoch [7/10], Step [570/1500], Loss: 0.0168, PSNR: 21.5063, SSIM: 0.7111\n",
            "Epoch [7/10], Step [580/1500], Loss: 0.0202, PSNR: 18.8151, SSIM: 0.6489\n",
            "Epoch [7/10], Step [590/1500], Loss: 0.0132, PSNR: 19.6809, SSIM: 0.6277\n",
            "Epoch [7/10], Step [600/1500], Loss: 0.0143, PSNR: 20.1280, SSIM: 0.6191\n",
            "Epoch [7/10], Step [610/1500], Loss: 0.0178, PSNR: 17.1849, SSIM: 0.5683\n",
            "Epoch [7/10], Step [620/1500], Loss: 0.0115, PSNR: 20.5104, SSIM: 0.6683\n",
            "Epoch [7/10], Step [630/1500], Loss: 0.0175, PSNR: 18.8770, SSIM: 0.6082\n",
            "Epoch [7/10], Step [640/1500], Loss: 0.0147, PSNR: 19.4367, SSIM: 0.5798\n",
            "Epoch [7/10], Step [650/1500], Loss: 0.0191, PSNR: 18.4287, SSIM: 0.5962\n",
            "Epoch [7/10], Step [660/1500], Loss: 0.0154, PSNR: 18.3896, SSIM: 0.5816\n",
            "Epoch [7/10], Step [670/1500], Loss: 0.0197, PSNR: 19.4811, SSIM: 0.6064\n",
            "Epoch [7/10], Step [680/1500], Loss: 0.0172, PSNR: 19.4072, SSIM: 0.6327\n",
            "Epoch [7/10], Step [690/1500], Loss: 0.0188, PSNR: 19.6806, SSIM: 0.6524\n",
            "Epoch [7/10], Step [700/1500], Loss: 0.0128, PSNR: 19.4349, SSIM: 0.6502\n",
            "Epoch [7/10], Step [710/1500], Loss: 0.0132, PSNR: 18.6707, SSIM: 0.6368\n",
            "Epoch [7/10], Step [720/1500], Loss: 0.0150, PSNR: 20.2165, SSIM: 0.5979\n",
            "Epoch [7/10], Step [730/1500], Loss: 0.0142, PSNR: 20.5663, SSIM: 0.6703\n",
            "Epoch [7/10], Step [740/1500], Loss: 0.0245, PSNR: 18.6938, SSIM: 0.6238\n",
            "Epoch [7/10], Step [750/1500], Loss: 0.0116, PSNR: 20.3141, SSIM: 0.6611\n",
            "Epoch [7/10], Step [760/1500], Loss: 0.0167, PSNR: 20.3777, SSIM: 0.6199\n",
            "Epoch [7/10], Step [770/1500], Loss: 0.0150, PSNR: 20.6688, SSIM: 0.7030\n",
            "Epoch [7/10], Step [780/1500], Loss: 0.0129, PSNR: 18.7265, SSIM: 0.6021\n",
            "Epoch [7/10], Step [790/1500], Loss: 0.0151, PSNR: 19.0934, SSIM: 0.6206\n",
            "Epoch [7/10], Step [800/1500], Loss: 0.0177, PSNR: 18.0112, SSIM: 0.6208\n",
            "Epoch [7/10], Step [810/1500], Loss: 0.0158, PSNR: 19.1577, SSIM: 0.6577\n",
            "Epoch [7/10], Step [820/1500], Loss: 0.0141, PSNR: 20.0049, SSIM: 0.6612\n",
            "Epoch [7/10], Step [830/1500], Loss: 0.0159, PSNR: 21.3809, SSIM: 0.6139\n",
            "Epoch [7/10], Step [840/1500], Loss: 0.0135, PSNR: 20.0536, SSIM: 0.6218\n",
            "Epoch [7/10], Step [850/1500], Loss: 0.0158, PSNR: 17.7999, SSIM: 0.5898\n",
            "Epoch [7/10], Step [860/1500], Loss: 0.0187, PSNR: 17.8269, SSIM: 0.6448\n",
            "Epoch [7/10], Step [870/1500], Loss: 0.0156, PSNR: 20.1216, SSIM: 0.6412\n",
            "Epoch [7/10], Step [880/1500], Loss: 0.0201, PSNR: 18.5646, SSIM: 0.6207\n",
            "Epoch [7/10], Step [890/1500], Loss: 0.0166, PSNR: 19.3163, SSIM: 0.6134\n",
            "Epoch [7/10], Step [900/1500], Loss: 0.0151, PSNR: 19.5182, SSIM: 0.6005\n",
            "Epoch [7/10], Step [910/1500], Loss: 0.0147, PSNR: 19.2333, SSIM: 0.6188\n",
            "Epoch [7/10], Step [920/1500], Loss: 0.0173, PSNR: 19.9038, SSIM: 0.5850\n",
            "Epoch [7/10], Step [930/1500], Loss: 0.0113, PSNR: 20.5263, SSIM: 0.6605\n",
            "Epoch [7/10], Step [940/1500], Loss: 0.0125, PSNR: 22.5497, SSIM: 0.7126\n",
            "Epoch [7/10], Step [950/1500], Loss: 0.0163, PSNR: 21.4174, SSIM: 0.6483\n",
            "Epoch [7/10], Step [960/1500], Loss: 0.0196, PSNR: 18.2089, SSIM: 0.6028\n",
            "Epoch [7/10], Step [970/1500], Loss: 0.0183, PSNR: 18.8024, SSIM: 0.6196\n",
            "Epoch [7/10], Step [980/1500], Loss: 0.0130, PSNR: 20.5141, SSIM: 0.6199\n",
            "Epoch [7/10], Step [990/1500], Loss: 0.0216, PSNR: 18.7852, SSIM: 0.5996\n",
            "Epoch [7/10], Step [1000/1500], Loss: 0.0196, PSNR: 19.7835, SSIM: 0.6195\n",
            "Epoch [7/10], Step [1010/1500], Loss: 0.0181, PSNR: 19.3467, SSIM: 0.6534\n",
            "Epoch [7/10], Step [1020/1500], Loss: 0.0128, PSNR: 21.8849, SSIM: 0.6479\n",
            "Epoch [7/10], Step [1030/1500], Loss: 0.0216, PSNR: 19.0714, SSIM: 0.6399\n",
            "Epoch [7/10], Step [1040/1500], Loss: 0.0129, PSNR: 20.4936, SSIM: 0.6871\n",
            "Epoch [7/10], Step [1050/1500], Loss: 0.0147, PSNR: 17.5752, SSIM: 0.5951\n",
            "Epoch [7/10], Step [1060/1500], Loss: 0.0173, PSNR: 19.8663, SSIM: 0.6266\n",
            "Epoch [7/10], Step [1070/1500], Loss: 0.0121, PSNR: 19.8076, SSIM: 0.6754\n",
            "Epoch [7/10], Step [1080/1500], Loss: 0.0140, PSNR: 20.2008, SSIM: 0.6234\n",
            "Epoch [7/10], Step [1090/1500], Loss: 0.0143, PSNR: 19.8039, SSIM: 0.6312\n",
            "Epoch [7/10], Step [1100/1500], Loss: 0.0161, PSNR: 21.3017, SSIM: 0.6410\n",
            "Epoch [7/10], Step [1110/1500], Loss: 0.0122, PSNR: 20.0463, SSIM: 0.6689\n",
            "Epoch [7/10], Step [1120/1500], Loss: 0.0178, PSNR: 21.9142, SSIM: 0.6643\n",
            "Epoch [7/10], Step [1130/1500], Loss: 0.0133, PSNR: 19.3809, SSIM: 0.6288\n",
            "Epoch [7/10], Step [1140/1500], Loss: 0.0164, PSNR: 17.0762, SSIM: 0.6148\n",
            "Epoch [7/10], Step [1150/1500], Loss: 0.0105, PSNR: 21.7671, SSIM: 0.6713\n",
            "Epoch [7/10], Step [1160/1500], Loss: 0.0182, PSNR: 20.4133, SSIM: 0.6409\n",
            "Epoch [7/10], Step [1170/1500], Loss: 0.0153, PSNR: 20.5911, SSIM: 0.6580\n",
            "Epoch [7/10], Step [1180/1500], Loss: 0.0168, PSNR: 17.3651, SSIM: 0.5230\n",
            "Epoch [7/10], Step [1190/1500], Loss: 0.0122, PSNR: 21.7870, SSIM: 0.6602\n",
            "Epoch [7/10], Step [1200/1500], Loss: 0.0190, PSNR: 19.6496, SSIM: 0.6505\n",
            "Epoch [7/10], Step [1210/1500], Loss: 0.0151, PSNR: 20.8407, SSIM: 0.6859\n",
            "Epoch [7/10], Step [1220/1500], Loss: 0.0155, PSNR: 17.9990, SSIM: 0.5923\n",
            "Epoch [7/10], Step [1230/1500], Loss: 0.0132, PSNR: 19.0537, SSIM: 0.6180\n",
            "Epoch [7/10], Step [1240/1500], Loss: 0.0151, PSNR: 19.4845, SSIM: 0.6373\n",
            "Epoch [7/10], Step [1250/1500], Loss: 0.0215, PSNR: 17.3437, SSIM: 0.5887\n",
            "Epoch [7/10], Step [1260/1500], Loss: 0.0132, PSNR: 19.0498, SSIM: 0.6387\n",
            "Epoch [7/10], Step [1270/1500], Loss: 0.0151, PSNR: 20.8283, SSIM: 0.6077\n",
            "Epoch [7/10], Step [1280/1500], Loss: 0.0131, PSNR: 19.6806, SSIM: 0.6441\n",
            "Epoch [7/10], Step [1290/1500], Loss: 0.0148, PSNR: 20.2371, SSIM: 0.6586\n",
            "Epoch [7/10], Step [1300/1500], Loss: 0.0124, PSNR: 19.4164, SSIM: 0.6560\n",
            "Epoch [7/10], Step [1310/1500], Loss: 0.0156, PSNR: 19.3202, SSIM: 0.6246\n",
            "Epoch [7/10], Step [1320/1500], Loss: 0.0118, PSNR: 20.4111, SSIM: 0.6846\n",
            "Epoch [7/10], Step [1330/1500], Loss: 0.0190, PSNR: 18.1607, SSIM: 0.5772\n",
            "Epoch [7/10], Step [1340/1500], Loss: 0.0168, PSNR: 19.3806, SSIM: 0.6099\n",
            "Epoch [7/10], Step [1350/1500], Loss: 0.0139, PSNR: 19.4381, SSIM: 0.6260\n",
            "Epoch [7/10], Step [1360/1500], Loss: 0.0136, PSNR: 19.9252, SSIM: 0.6251\n",
            "Epoch [7/10], Step [1370/1500], Loss: 0.0150, PSNR: 18.6386, SSIM: 0.5913\n",
            "Epoch [7/10], Step [1380/1500], Loss: 0.0154, PSNR: 18.7834, SSIM: 0.6317\n",
            "Epoch [7/10], Step [1390/1500], Loss: 0.0144, PSNR: 19.1791, SSIM: 0.6416\n",
            "Epoch [7/10], Step [1400/1500], Loss: 0.0147, PSNR: 20.1484, SSIM: 0.6672\n",
            "Epoch [7/10], Step [1410/1500], Loss: 0.0176, PSNR: 20.6360, SSIM: 0.6266\n",
            "Epoch [7/10], Step [1420/1500], Loss: 0.0164, PSNR: 19.3610, SSIM: 0.6418\n",
            "Epoch [7/10], Step [1430/1500], Loss: 0.0127, PSNR: 20.1732, SSIM: 0.6481\n",
            "Epoch [7/10], Step [1440/1500], Loss: 0.0161, PSNR: 18.6490, SSIM: 0.5953\n",
            "Epoch [7/10], Step [1450/1500], Loss: 0.0149, PSNR: 18.3352, SSIM: 0.6404\n",
            "Epoch [7/10], Step [1460/1500], Loss: 0.0128, PSNR: 19.9856, SSIM: 0.6436\n",
            "Epoch [7/10], Step [1470/1500], Loss: 0.0171, PSNR: 20.0129, SSIM: 0.6774\n",
            "Epoch [7/10], Step [1480/1500], Loss: 0.0162, PSNR: 19.9602, SSIM: 0.6849\n",
            "Epoch [7/10], Step [1490/1500], Loss: 0.0130, PSNR: 20.2767, SSIM: 0.6851\n",
            "Epoch [7/10], Step [1500/1500], Loss: 0.0130, PSNR: 22.6596, SSIM: 0.7064\n",
            "Epoch [8/10], Step [10/1500], Loss: 0.0157, PSNR: 19.5821, SSIM: 0.6231\n",
            "Epoch [8/10], Step [20/1500], Loss: 0.0160, PSNR: 18.7920, SSIM: 0.6398\n",
            "Epoch [8/10], Step [30/1500], Loss: 0.0123, PSNR: 19.9035, SSIM: 0.6652\n",
            "Epoch [8/10], Step [40/1500], Loss: 0.0164, PSNR: 18.1541, SSIM: 0.5817\n",
            "Epoch [8/10], Step [50/1500], Loss: 0.0156, PSNR: 19.1995, SSIM: 0.6306\n",
            "Epoch [8/10], Step [60/1500], Loss: 0.0105, PSNR: 21.0454, SSIM: 0.7157\n",
            "Epoch [8/10], Step [70/1500], Loss: 0.0170, PSNR: 18.3549, SSIM: 0.6265\n",
            "Epoch [8/10], Step [80/1500], Loss: 0.0176, PSNR: 19.2745, SSIM: 0.5823\n",
            "Epoch [8/10], Step [90/1500], Loss: 0.0132, PSNR: 20.1369, SSIM: 0.6194\n",
            "Epoch [8/10], Step [100/1500], Loss: 0.0173, PSNR: 18.1192, SSIM: 0.6055\n",
            "Epoch [8/10], Step [110/1500], Loss: 0.0164, PSNR: 18.4148, SSIM: 0.6259\n",
            "Epoch [8/10], Step [120/1500], Loss: 0.0162, PSNR: 17.1246, SSIM: 0.5761\n",
            "Epoch [8/10], Step [130/1500], Loss: 0.0157, PSNR: 20.4767, SSIM: 0.6247\n",
            "Epoch [8/10], Step [140/1500], Loss: 0.0149, PSNR: 21.3312, SSIM: 0.6539\n",
            "Epoch [8/10], Step [150/1500], Loss: 0.0143, PSNR: 20.1443, SSIM: 0.6696\n",
            "Epoch [8/10], Step [160/1500], Loss: 0.0181, PSNR: 17.9635, SSIM: 0.5700\n",
            "Epoch [8/10], Step [170/1500], Loss: 0.0174, PSNR: 19.4023, SSIM: 0.6121\n",
            "Epoch [8/10], Step [180/1500], Loss: 0.0134, PSNR: 22.4211, SSIM: 0.7011\n",
            "Epoch [8/10], Step [190/1500], Loss: 0.0164, PSNR: 18.2700, SSIM: 0.6117\n",
            "Epoch [8/10], Step [200/1500], Loss: 0.0123, PSNR: 21.5784, SSIM: 0.6456\n",
            "Epoch [8/10], Step [210/1500], Loss: 0.0138, PSNR: 19.1747, SSIM: 0.5924\n",
            "Epoch [8/10], Step [220/1500], Loss: 0.0150, PSNR: 19.9280, SSIM: 0.6266\n",
            "Epoch [8/10], Step [230/1500], Loss: 0.0160, PSNR: 19.7144, SSIM: 0.6672\n",
            "Epoch [8/10], Step [240/1500], Loss: 0.0134, PSNR: 18.5179, SSIM: 0.6829\n",
            "Epoch [8/10], Step [250/1500], Loss: 0.0129, PSNR: 22.1500, SSIM: 0.7364\n",
            "Epoch [8/10], Step [260/1500], Loss: 0.0099, PSNR: 20.5645, SSIM: 0.6821\n",
            "Epoch [8/10], Step [270/1500], Loss: 0.0152, PSNR: 20.1643, SSIM: 0.6190\n",
            "Epoch [8/10], Step [280/1500], Loss: 0.0163, PSNR: 17.9668, SSIM: 0.6311\n",
            "Epoch [8/10], Step [290/1500], Loss: 0.0148, PSNR: 19.4707, SSIM: 0.6443\n",
            "Epoch [8/10], Step [300/1500], Loss: 0.0146, PSNR: 20.3141, SSIM: 0.6914\n",
            "Epoch [8/10], Step [310/1500], Loss: 0.0191, PSNR: 19.9244, SSIM: 0.6400\n",
            "Epoch [8/10], Step [320/1500], Loss: 0.0140, PSNR: 19.9330, SSIM: 0.6488\n",
            "Epoch [8/10], Step [330/1500], Loss: 0.0118, PSNR: 19.6390, SSIM: 0.6728\n",
            "Epoch [8/10], Step [340/1500], Loss: 0.0149, PSNR: 21.8082, SSIM: 0.6704\n",
            "Epoch [8/10], Step [350/1500], Loss: 0.0212, PSNR: 20.5033, SSIM: 0.6412\n",
            "Epoch [8/10], Step [360/1500], Loss: 0.0121, PSNR: 20.9323, SSIM: 0.6881\n",
            "Epoch [8/10], Step [370/1500], Loss: 0.0183, PSNR: 20.9323, SSIM: 0.6540\n",
            "Epoch [8/10], Step [380/1500], Loss: 0.0129, PSNR: 20.3867, SSIM: 0.6735\n",
            "Epoch [8/10], Step [390/1500], Loss: 0.0139, PSNR: 19.3098, SSIM: 0.6190\n",
            "Epoch [8/10], Step [400/1500], Loss: 0.0188, PSNR: 16.7144, SSIM: 0.5887\n",
            "Epoch [8/10], Step [410/1500], Loss: 0.0150, PSNR: 17.8728, SSIM: 0.5847\n",
            "Epoch [8/10], Step [420/1500], Loss: 0.0123, PSNR: 19.2883, SSIM: 0.6536\n",
            "Epoch [8/10], Step [430/1500], Loss: 0.0143, PSNR: 19.9379, SSIM: 0.6829\n",
            "Epoch [8/10], Step [440/1500], Loss: 0.0120, PSNR: 20.3925, SSIM: 0.6426\n",
            "Epoch [8/10], Step [450/1500], Loss: 0.0146, PSNR: 20.7014, SSIM: 0.6808\n",
            "Epoch [8/10], Step [460/1500], Loss: 0.0140, PSNR: 22.5996, SSIM: 0.6838\n",
            "Epoch [8/10], Step [470/1500], Loss: 0.0155, PSNR: 18.0904, SSIM: 0.6066\n",
            "Epoch [8/10], Step [480/1500], Loss: 0.0155, PSNR: 18.8456, SSIM: 0.6330\n",
            "Epoch [8/10], Step [490/1500], Loss: 0.0121, PSNR: 20.3042, SSIM: 0.6765\n",
            "Epoch [8/10], Step [500/1500], Loss: 0.0136, PSNR: 19.8243, SSIM: 0.6843\n",
            "Epoch [8/10], Step [510/1500], Loss: 0.0171, PSNR: 22.0163, SSIM: 0.7372\n",
            "Epoch [8/10], Step [520/1500], Loss: 0.0157, PSNR: 19.0629, SSIM: 0.6278\n",
            "Epoch [8/10], Step [530/1500], Loss: 0.0172, PSNR: 20.5376, SSIM: 0.6098\n",
            "Epoch [8/10], Step [540/1500], Loss: 0.0209, PSNR: 18.0572, SSIM: 0.5300\n",
            "Epoch [8/10], Step [550/1500], Loss: 0.0200, PSNR: 19.1523, SSIM: 0.6486\n",
            "Epoch [8/10], Step [560/1500], Loss: 0.0170, PSNR: 20.2666, SSIM: 0.6562\n",
            "Epoch [8/10], Step [570/1500], Loss: 0.0155, PSNR: 19.5225, SSIM: 0.6416\n",
            "Epoch [8/10], Step [580/1500], Loss: 0.0215, PSNR: 20.0284, SSIM: 0.6240\n",
            "Epoch [8/10], Step [590/1500], Loss: 0.0163, PSNR: 18.4414, SSIM: 0.6082\n",
            "Epoch [8/10], Step [600/1500], Loss: 0.0149, PSNR: 21.3494, SSIM: 0.6669\n",
            "Epoch [8/10], Step [610/1500], Loss: 0.0129, PSNR: 20.3045, SSIM: 0.5855\n",
            "Epoch [8/10], Step [620/1500], Loss: 0.0122, PSNR: 20.2015, SSIM: 0.6303\n",
            "Epoch [8/10], Step [630/1500], Loss: 0.0119, PSNR: 20.5461, SSIM: 0.6521\n",
            "Epoch [8/10], Step [640/1500], Loss: 0.0123, PSNR: 21.9000, SSIM: 0.6408\n",
            "Epoch [8/10], Step [650/1500], Loss: 0.0166, PSNR: 20.9565, SSIM: 0.6277\n",
            "Epoch [8/10], Step [660/1500], Loss: 0.0182, PSNR: 19.9655, SSIM: 0.6675\n",
            "Epoch [8/10], Step [670/1500], Loss: 0.0096, PSNR: 19.9235, SSIM: 0.6411\n",
            "Epoch [8/10], Step [680/1500], Loss: 0.0117, PSNR: 22.2974, SSIM: 0.7237\n",
            "Epoch [8/10], Step [690/1500], Loss: 0.0155, PSNR: 21.5730, SSIM: 0.6650\n",
            "Epoch [8/10], Step [700/1500], Loss: 0.0145, PSNR: 19.7283, SSIM: 0.6547\n",
            "Epoch [8/10], Step [710/1500], Loss: 0.0159, PSNR: 19.9804, SSIM: 0.6858\n",
            "Epoch [8/10], Step [720/1500], Loss: 0.0129, PSNR: 18.5897, SSIM: 0.6446\n",
            "Epoch [8/10], Step [730/1500], Loss: 0.0154, PSNR: 19.3746, SSIM: 0.6630\n",
            "Epoch [8/10], Step [740/1500], Loss: 0.0142, PSNR: 18.8014, SSIM: 0.6814\n",
            "Epoch [8/10], Step [750/1500], Loss: 0.0152, PSNR: 20.6106, SSIM: 0.6323\n",
            "Epoch [8/10], Step [760/1500], Loss: 0.0160, PSNR: 21.3279, SSIM: 0.6565\n",
            "Epoch [8/10], Step [770/1500], Loss: 0.0112, PSNR: 19.8763, SSIM: 0.6921\n",
            "Epoch [8/10], Step [780/1500], Loss: 0.0137, PSNR: 20.2400, SSIM: 0.6378\n",
            "Epoch [8/10], Step [790/1500], Loss: 0.0109, PSNR: 21.2346, SSIM: 0.6712\n",
            "Epoch [8/10], Step [800/1500], Loss: 0.0162, PSNR: 19.4742, SSIM: 0.6517\n",
            "Epoch [8/10], Step [810/1500], Loss: 0.0133, PSNR: 20.4039, SSIM: 0.6354\n",
            "Epoch [8/10], Step [820/1500], Loss: 0.0186, PSNR: 19.6452, SSIM: 0.7039\n",
            "Epoch [8/10], Step [830/1500], Loss: 0.0110, PSNR: 19.0914, SSIM: 0.6342\n",
            "Epoch [8/10], Step [840/1500], Loss: 0.0142, PSNR: 19.5115, SSIM: 0.6620\n",
            "Epoch [8/10], Step [850/1500], Loss: 0.0206, PSNR: 18.5970, SSIM: 0.5661\n",
            "Epoch [8/10], Step [860/1500], Loss: 0.0178, PSNR: 19.5242, SSIM: 0.5954\n",
            "Epoch [8/10], Step [870/1500], Loss: 0.0196, PSNR: 18.5057, SSIM: 0.6434\n",
            "Epoch [8/10], Step [880/1500], Loss: 0.0157, PSNR: 19.8473, SSIM: 0.6617\n",
            "Epoch [8/10], Step [890/1500], Loss: 0.0121, PSNR: 21.3514, SSIM: 0.6918\n",
            "Epoch [8/10], Step [900/1500], Loss: 0.0174, PSNR: 19.0463, SSIM: 0.6292\n",
            "Epoch [8/10], Step [910/1500], Loss: 0.0137, PSNR: 19.2987, SSIM: 0.6467\n",
            "Epoch [8/10], Step [920/1500], Loss: 0.0124, PSNR: 20.9821, SSIM: 0.7161\n",
            "Epoch [8/10], Step [930/1500], Loss: 0.0148, PSNR: 21.0786, SSIM: 0.7258\n",
            "Epoch [8/10], Step [940/1500], Loss: 0.0114, PSNR: 19.9841, SSIM: 0.6906\n",
            "Epoch [8/10], Step [950/1500], Loss: 0.0118, PSNR: 21.6127, SSIM: 0.6912\n",
            "Epoch [8/10], Step [960/1500], Loss: 0.0175, PSNR: 19.2077, SSIM: 0.5607\n",
            "Epoch [8/10], Step [970/1500], Loss: 0.0168, PSNR: 19.6543, SSIM: 0.6148\n",
            "Epoch [8/10], Step [980/1500], Loss: 0.0146, PSNR: 20.7436, SSIM: 0.6952\n",
            "Epoch [8/10], Step [990/1500], Loss: 0.0152, PSNR: 20.1562, SSIM: 0.5979\n",
            "Epoch [8/10], Step [1000/1500], Loss: 0.0147, PSNR: 18.7125, SSIM: 0.5820\n",
            "Epoch [8/10], Step [1010/1500], Loss: 0.0159, PSNR: 18.8049, SSIM: 0.6382\n",
            "Epoch [8/10], Step [1020/1500], Loss: 0.0117, PSNR: 18.3351, SSIM: 0.6186\n",
            "Epoch [8/10], Step [1030/1500], Loss: 0.0154, PSNR: 18.8135, SSIM: 0.6619\n",
            "Epoch [8/10], Step [1040/1500], Loss: 0.0178, PSNR: 21.6237, SSIM: 0.6971\n",
            "Epoch [8/10], Step [1050/1500], Loss: 0.0168, PSNR: 19.5370, SSIM: 0.6986\n",
            "Epoch [8/10], Step [1060/1500], Loss: 0.0167, PSNR: 20.7748, SSIM: 0.7058\n",
            "Epoch [8/10], Step [1070/1500], Loss: 0.0111, PSNR: 20.9821, SSIM: 0.6355\n",
            "Epoch [8/10], Step [1080/1500], Loss: 0.0107, PSNR: 22.7629, SSIM: 0.7065\n",
            "Epoch [8/10], Step [1090/1500], Loss: 0.0126, PSNR: 20.9030, SSIM: 0.6787\n",
            "Epoch [8/10], Step [1100/1500], Loss: 0.0161, PSNR: 17.8105, SSIM: 0.6150\n",
            "Epoch [8/10], Step [1110/1500], Loss: 0.0142, PSNR: 20.5603, SSIM: 0.6349\n",
            "Epoch [8/10], Step [1120/1500], Loss: 0.0173, PSNR: 19.8025, SSIM: 0.5921\n",
            "Epoch [8/10], Step [1130/1500], Loss: 0.0152, PSNR: 19.4361, SSIM: 0.6973\n",
            "Epoch [8/10], Step [1140/1500], Loss: 0.0154, PSNR: 18.4995, SSIM: 0.6423\n",
            "Epoch [8/10], Step [1150/1500], Loss: 0.0163, PSNR: 17.8378, SSIM: 0.5932\n",
            "Epoch [8/10], Step [1160/1500], Loss: 0.0134, PSNR: 20.4413, SSIM: 0.7159\n",
            "Epoch [8/10], Step [1170/1500], Loss: 0.0189, PSNR: 19.9468, SSIM: 0.5951\n",
            "Epoch [8/10], Step [1180/1500], Loss: 0.0135, PSNR: 20.3794, SSIM: 0.6421\n",
            "Epoch [8/10], Step [1190/1500], Loss: 0.0165, PSNR: 20.4320, SSIM: 0.6836\n",
            "Epoch [8/10], Step [1200/1500], Loss: 0.0217, PSNR: 20.8883, SSIM: 0.6910\n",
            "Epoch [8/10], Step [1210/1500], Loss: 0.0148, PSNR: 20.8944, SSIM: 0.6854\n",
            "Epoch [8/10], Step [1220/1500], Loss: 0.0110, PSNR: 21.1871, SSIM: 0.6773\n",
            "Epoch [8/10], Step [1230/1500], Loss: 0.0103, PSNR: 21.7718, SSIM: 0.7483\n",
            "Epoch [8/10], Step [1240/1500], Loss: 0.0134, PSNR: 20.0921, SSIM: 0.6963\n",
            "Epoch [8/10], Step [1250/1500], Loss: 0.0147, PSNR: 20.5091, SSIM: 0.7024\n",
            "Epoch [8/10], Step [1260/1500], Loss: 0.0105, PSNR: 21.4423, SSIM: 0.6998\n",
            "Epoch [8/10], Step [1270/1500], Loss: 0.0161, PSNR: 19.6328, SSIM: 0.6760\n",
            "Epoch [8/10], Step [1280/1500], Loss: 0.0133, PSNR: 19.9072, SSIM: 0.7048\n",
            "Epoch [8/10], Step [1290/1500], Loss: 0.0138, PSNR: 21.6697, SSIM: 0.6956\n",
            "Epoch [8/10], Step [1300/1500], Loss: 0.0140, PSNR: 18.4081, SSIM: 0.6121\n",
            "Epoch [8/10], Step [1310/1500], Loss: 0.0223, PSNR: 17.6235, SSIM: 0.5577\n",
            "Epoch [8/10], Step [1320/1500], Loss: 0.0128, PSNR: 20.3269, SSIM: 0.6378\n",
            "Epoch [8/10], Step [1330/1500], Loss: 0.0165, PSNR: 18.7173, SSIM: 0.5740\n",
            "Epoch [8/10], Step [1340/1500], Loss: 0.0143, PSNR: 19.7651, SSIM: 0.6380\n",
            "Epoch [8/10], Step [1350/1500], Loss: 0.0140, PSNR: 19.4405, SSIM: 0.6277\n",
            "Epoch [8/10], Step [1360/1500], Loss: 0.0198, PSNR: 19.0533, SSIM: 0.6713\n",
            "Epoch [8/10], Step [1370/1500], Loss: 0.0213, PSNR: 18.9778, SSIM: 0.5960\n",
            "Epoch [8/10], Step [1380/1500], Loss: 0.0158, PSNR: 20.8247, SSIM: 0.6883\n",
            "Epoch [8/10], Step [1390/1500], Loss: 0.0144, PSNR: 18.7253, SSIM: 0.6110\n",
            "Epoch [8/10], Step [1400/1500], Loss: 0.0151, PSNR: 18.8050, SSIM: 0.6685\n",
            "Epoch [8/10], Step [1410/1500], Loss: 0.0119, PSNR: 20.9430, SSIM: 0.6443\n",
            "Epoch [8/10], Step [1420/1500], Loss: 0.0186, PSNR: 18.9721, SSIM: 0.6628\n",
            "Epoch [8/10], Step [1430/1500], Loss: 0.0137, PSNR: 19.4095, SSIM: 0.6344\n",
            "Epoch [8/10], Step [1440/1500], Loss: 0.0142, PSNR: 20.3562, SSIM: 0.6794\n",
            "Epoch [8/10], Step [1450/1500], Loss: 0.0121, PSNR: 20.7696, SSIM: 0.6881\n",
            "Epoch [8/10], Step [1460/1500], Loss: 0.0142, PSNR: 18.7091, SSIM: 0.5990\n",
            "Epoch [8/10], Step [1470/1500], Loss: 0.0146, PSNR: 20.6315, SSIM: 0.6852\n",
            "Epoch [8/10], Step [1480/1500], Loss: 0.0141, PSNR: 20.8328, SSIM: 0.6742\n",
            "Epoch [8/10], Step [1490/1500], Loss: 0.0168, PSNR: 21.2894, SSIM: 0.6887\n",
            "Epoch [8/10], Step [1500/1500], Loss: 0.0202, PSNR: 17.5011, SSIM: 0.5907\n",
            "Epoch [9/10], Step [10/1500], Loss: 0.0136, PSNR: 21.6119, SSIM: 0.7472\n",
            "Epoch [9/10], Step [20/1500], Loss: 0.0157, PSNR: 21.1095, SSIM: 0.6990\n",
            "Epoch [9/10], Step [30/1500], Loss: 0.0200, PSNR: 19.2189, SSIM: 0.6517\n",
            "Epoch [9/10], Step [40/1500], Loss: 0.0135, PSNR: 20.0999, SSIM: 0.6606\n",
            "Epoch [9/10], Step [50/1500], Loss: 0.0113, PSNR: 20.0576, SSIM: 0.6183\n",
            "Epoch [9/10], Step [60/1500], Loss: 0.0150, PSNR: 19.7594, SSIM: 0.6527\n",
            "Epoch [9/10], Step [70/1500], Loss: 0.0141, PSNR: 18.1267, SSIM: 0.6096\n",
            "Epoch [9/10], Step [80/1500], Loss: 0.0111, PSNR: 18.7952, SSIM: 0.6314\n",
            "Epoch [9/10], Step [90/1500], Loss: 0.0110, PSNR: 22.9528, SSIM: 0.7504\n",
            "Epoch [9/10], Step [100/1500], Loss: 0.0169, PSNR: 21.3541, SSIM: 0.6738\n",
            "Epoch [9/10], Step [110/1500], Loss: 0.0161, PSNR: 19.4692, SSIM: 0.6494\n",
            "Epoch [9/10], Step [120/1500], Loss: 0.0133, PSNR: 19.5192, SSIM: 0.6706\n",
            "Epoch [9/10], Step [130/1500], Loss: 0.0148, PSNR: 20.4685, SSIM: 0.6335\n",
            "Epoch [9/10], Step [140/1500], Loss: 0.0123, PSNR: 22.0860, SSIM: 0.6802\n",
            "Epoch [9/10], Step [150/1500], Loss: 0.0147, PSNR: 20.2885, SSIM: 0.6353\n",
            "Epoch [9/10], Step [160/1500], Loss: 0.0167, PSNR: 18.2712, SSIM: 0.6458\n",
            "Epoch [9/10], Step [170/1500], Loss: 0.0173, PSNR: 21.2249, SSIM: 0.6913\n",
            "Epoch [9/10], Step [180/1500], Loss: 0.0120, PSNR: 21.2036, SSIM: 0.6571\n",
            "Epoch [9/10], Step [190/1500], Loss: 0.0135, PSNR: 19.7226, SSIM: 0.6106\n",
            "Epoch [9/10], Step [200/1500], Loss: 0.0259, PSNR: 16.2712, SSIM: 0.5876\n",
            "Epoch [9/10], Step [210/1500], Loss: 0.0137, PSNR: 19.4004, SSIM: 0.6329\n",
            "Epoch [9/10], Step [220/1500], Loss: 0.0191, PSNR: 20.1859, SSIM: 0.6439\n",
            "Epoch [9/10], Step [230/1500], Loss: 0.0152, PSNR: 20.6800, SSIM: 0.6516\n",
            "Epoch [9/10], Step [240/1500], Loss: 0.0158, PSNR: 18.8084, SSIM: 0.6124\n",
            "Epoch [9/10], Step [250/1500], Loss: 0.0165, PSNR: 19.4778, SSIM: 0.6310\n",
            "Epoch [9/10], Step [260/1500], Loss: 0.0175, PSNR: 18.5268, SSIM: 0.6172\n",
            "Epoch [9/10], Step [270/1500], Loss: 0.0165, PSNR: 20.3780, SSIM: 0.6181\n",
            "Epoch [9/10], Step [280/1500], Loss: 0.0198, PSNR: 17.3900, SSIM: 0.5744\n",
            "Epoch [9/10], Step [290/1500], Loss: 0.0121, PSNR: 21.0779, SSIM: 0.6895\n",
            "Epoch [9/10], Step [300/1500], Loss: 0.0147, PSNR: 19.7129, SSIM: 0.6220\n",
            "Epoch [9/10], Step [310/1500], Loss: 0.0153, PSNR: 20.9063, SSIM: 0.6490\n",
            "Epoch [9/10], Step [320/1500], Loss: 0.0117, PSNR: 20.8138, SSIM: 0.6744\n",
            "Epoch [9/10], Step [330/1500], Loss: 0.0190, PSNR: 17.5850, SSIM: 0.6206\n",
            "Epoch [9/10], Step [340/1500], Loss: 0.0105, PSNR: 23.2390, SSIM: 0.6811\n",
            "Epoch [9/10], Step [350/1500], Loss: 0.0085, PSNR: 22.4040, SSIM: 0.6880\n",
            "Epoch [9/10], Step [360/1500], Loss: 0.0132, PSNR: 19.3641, SSIM: 0.6711\n",
            "Epoch [9/10], Step [370/1500], Loss: 0.0157, PSNR: 18.9400, SSIM: 0.6795\n",
            "Epoch [9/10], Step [380/1500], Loss: 0.0135, PSNR: 21.8885, SSIM: 0.6782\n",
            "Epoch [9/10], Step [390/1500], Loss: 0.0098, PSNR: 21.6489, SSIM: 0.6608\n",
            "Epoch [9/10], Step [400/1500], Loss: 0.0144, PSNR: 19.3587, SSIM: 0.6297\n",
            "Epoch [9/10], Step [410/1500], Loss: 0.0218, PSNR: 18.3548, SSIM: 0.5999\n",
            "Epoch [9/10], Step [420/1500], Loss: 0.0203, PSNR: 19.5384, SSIM: 0.5993\n",
            "Epoch [9/10], Step [430/1500], Loss: 0.0145, PSNR: 18.7974, SSIM: 0.6186\n",
            "Epoch [9/10], Step [440/1500], Loss: 0.0150, PSNR: 20.1965, SSIM: 0.6408\n",
            "Epoch [9/10], Step [450/1500], Loss: 0.0091, PSNR: 21.9484, SSIM: 0.7183\n",
            "Epoch [9/10], Step [460/1500], Loss: 0.0142, PSNR: 21.0414, SSIM: 0.6802\n",
            "Epoch [9/10], Step [470/1500], Loss: 0.0157, PSNR: 20.1202, SSIM: 0.6534\n",
            "Epoch [9/10], Step [480/1500], Loss: 0.0159, PSNR: 21.7214, SSIM: 0.7027\n",
            "Epoch [9/10], Step [490/1500], Loss: 0.0147, PSNR: 18.9685, SSIM: 0.6226\n",
            "Epoch [9/10], Step [500/1500], Loss: 0.0150, PSNR: 19.6752, SSIM: 0.6378\n",
            "Epoch [9/10], Step [510/1500], Loss: 0.0133, PSNR: 20.6612, SSIM: 0.6667\n",
            "Epoch [9/10], Step [520/1500], Loss: 0.0121, PSNR: 20.9467, SSIM: 0.6762\n",
            "Epoch [9/10], Step [530/1500], Loss: 0.0142, PSNR: 19.1744, SSIM: 0.6336\n",
            "Epoch [9/10], Step [540/1500], Loss: 0.0157, PSNR: 18.9322, SSIM: 0.6284\n",
            "Epoch [9/10], Step [550/1500], Loss: 0.0140, PSNR: 20.7892, SSIM: 0.6745\n",
            "Epoch [9/10], Step [560/1500], Loss: 0.0123, PSNR: 19.2761, SSIM: 0.6707\n",
            "Epoch [9/10], Step [570/1500], Loss: 0.0127, PSNR: 20.9429, SSIM: 0.7209\n",
            "Epoch [9/10], Step [580/1500], Loss: 0.0198, PSNR: 22.4264, SSIM: 0.6825\n",
            "Epoch [9/10], Step [590/1500], Loss: 0.0150, PSNR: 20.0983, SSIM: 0.6349\n",
            "Epoch [9/10], Step [600/1500], Loss: 0.0179, PSNR: 21.6829, SSIM: 0.6818\n",
            "Epoch [9/10], Step [610/1500], Loss: 0.0139, PSNR: 19.6696, SSIM: 0.6477\n",
            "Epoch [9/10], Step [620/1500], Loss: 0.0122, PSNR: 20.2271, SSIM: 0.6312\n",
            "Epoch [9/10], Step [630/1500], Loss: 0.0140, PSNR: 18.9906, SSIM: 0.6586\n",
            "Epoch [9/10], Step [640/1500], Loss: 0.0131, PSNR: 19.5784, SSIM: 0.6957\n",
            "Epoch [9/10], Step [650/1500], Loss: 0.0101, PSNR: 21.0942, SSIM: 0.6534\n",
            "Epoch [9/10], Step [660/1500], Loss: 0.0117, PSNR: 19.9259, SSIM: 0.6831\n",
            "Epoch [9/10], Step [670/1500], Loss: 0.0131, PSNR: 23.4929, SSIM: 0.7393\n",
            "Epoch [9/10], Step [680/1500], Loss: 0.0150, PSNR: 19.3164, SSIM: 0.6418\n",
            "Epoch [9/10], Step [690/1500], Loss: 0.0147, PSNR: 20.7658, SSIM: 0.6850\n",
            "Epoch [9/10], Step [700/1500], Loss: 0.0148, PSNR: 19.1794, SSIM: 0.6931\n",
            "Epoch [9/10], Step [710/1500], Loss: 0.0108, PSNR: 20.8997, SSIM: 0.6911\n",
            "Epoch [9/10], Step [720/1500], Loss: 0.0181, PSNR: 17.7972, SSIM: 0.6146\n",
            "Epoch [9/10], Step [730/1500], Loss: 0.0163, PSNR: 20.3929, SSIM: 0.6908\n",
            "Epoch [9/10], Step [740/1500], Loss: 0.0171, PSNR: 18.1618, SSIM: 0.6256\n",
            "Epoch [9/10], Step [750/1500], Loss: 0.0187, PSNR: 18.5406, SSIM: 0.6708\n",
            "Epoch [9/10], Step [760/1500], Loss: 0.0171, PSNR: 19.8564, SSIM: 0.6811\n",
            "Epoch [9/10], Step [770/1500], Loss: 0.0160, PSNR: 19.0779, SSIM: 0.6040\n",
            "Epoch [9/10], Step [780/1500], Loss: 0.0162, PSNR: 18.6150, SSIM: 0.6315\n",
            "Epoch [9/10], Step [790/1500], Loss: 0.0140, PSNR: 21.2478, SSIM: 0.6876\n",
            "Epoch [9/10], Step [800/1500], Loss: 0.0213, PSNR: 18.3169, SSIM: 0.6644\n",
            "Epoch [9/10], Step [810/1500], Loss: 0.0185, PSNR: 16.8915, SSIM: 0.5728\n",
            "Epoch [9/10], Step [820/1500], Loss: 0.0199, PSNR: 21.6688, SSIM: 0.7038\n",
            "Epoch [9/10], Step [830/1500], Loss: 0.0188, PSNR: 21.3879, SSIM: 0.7114\n",
            "Epoch [9/10], Step [840/1500], Loss: 0.0199, PSNR: 17.3840, SSIM: 0.5396\n",
            "Epoch [9/10], Step [850/1500], Loss: 0.0170, PSNR: 18.3703, SSIM: 0.6471\n",
            "Epoch [9/10], Step [860/1500], Loss: 0.0128, PSNR: 20.7121, SSIM: 0.6616\n",
            "Epoch [9/10], Step [870/1500], Loss: 0.0087, PSNR: 21.8956, SSIM: 0.6663\n",
            "Epoch [9/10], Step [880/1500], Loss: 0.0136, PSNR: 20.5673, SSIM: 0.6484\n",
            "Epoch [9/10], Step [890/1500], Loss: 0.0121, PSNR: 20.7797, SSIM: 0.6601\n",
            "Epoch [9/10], Step [900/1500], Loss: 0.0184, PSNR: 17.6263, SSIM: 0.6386\n",
            "Epoch [9/10], Step [910/1500], Loss: 0.0132, PSNR: 20.9791, SSIM: 0.6655\n",
            "Epoch [9/10], Step [920/1500], Loss: 0.0152, PSNR: 17.9163, SSIM: 0.5773\n",
            "Epoch [9/10], Step [930/1500], Loss: 0.0117, PSNR: 21.4018, SSIM: 0.6815\n",
            "Epoch [9/10], Step [940/1500], Loss: 0.0202, PSNR: 18.9909, SSIM: 0.6423\n",
            "Epoch [9/10], Step [950/1500], Loss: 0.0140, PSNR: 19.3391, SSIM: 0.5821\n",
            "Epoch [9/10], Step [960/1500], Loss: 0.0129, PSNR: 18.5547, SSIM: 0.5973\n",
            "Epoch [9/10], Step [970/1500], Loss: 0.0144, PSNR: 19.4712, SSIM: 0.6499\n",
            "Epoch [9/10], Step [980/1500], Loss: 0.0104, PSNR: 22.3913, SSIM: 0.6567\n",
            "Epoch [9/10], Step [990/1500], Loss: 0.0122, PSNR: 20.9398, SSIM: 0.6372\n",
            "Epoch [9/10], Step [1000/1500], Loss: 0.0147, PSNR: 19.2678, SSIM: 0.6641\n",
            "Epoch [9/10], Step [1010/1500], Loss: 0.0183, PSNR: 22.2622, SSIM: 0.7343\n",
            "Epoch [9/10], Step [1020/1500], Loss: 0.0119, PSNR: 21.6615, SSIM: 0.6845\n",
            "Epoch [9/10], Step [1030/1500], Loss: 0.0145, PSNR: 22.0738, SSIM: 0.7158\n",
            "Epoch [9/10], Step [1040/1500], Loss: 0.0118, PSNR: 20.9280, SSIM: 0.6409\n",
            "Epoch [9/10], Step [1050/1500], Loss: 0.0206, PSNR: 20.1222, SSIM: 0.6419\n",
            "Epoch [9/10], Step [1060/1500], Loss: 0.0124, PSNR: 19.0913, SSIM: 0.6049\n",
            "Epoch [9/10], Step [1070/1500], Loss: 0.0160, PSNR: 17.1939, SSIM: 0.6245\n",
            "Epoch [9/10], Step [1080/1500], Loss: 0.0148, PSNR: 21.8754, SSIM: 0.6693\n",
            "Epoch [9/10], Step [1090/1500], Loss: 0.0128, PSNR: 19.3272, SSIM: 0.6609\n",
            "Epoch [9/10], Step [1100/1500], Loss: 0.0159, PSNR: 19.7457, SSIM: 0.6613\n",
            "Epoch [9/10], Step [1110/1500], Loss: 0.0135, PSNR: 22.0311, SSIM: 0.6565\n",
            "Epoch [9/10], Step [1120/1500], Loss: 0.0232, PSNR: 16.8610, SSIM: 0.5849\n",
            "Epoch [9/10], Step [1130/1500], Loss: 0.0153, PSNR: 17.9187, SSIM: 0.6023\n",
            "Epoch [9/10], Step [1140/1500], Loss: 0.0114, PSNR: 19.8428, SSIM: 0.6249\n",
            "Epoch [9/10], Step [1150/1500], Loss: 0.0124, PSNR: 21.3373, SSIM: 0.6859\n",
            "Epoch [9/10], Step [1160/1500], Loss: 0.0163, PSNR: 19.7049, SSIM: 0.6564\n",
            "Epoch [9/10], Step [1170/1500], Loss: 0.0135, PSNR: 20.3837, SSIM: 0.6261\n",
            "Epoch [9/10], Step [1180/1500], Loss: 0.0181, PSNR: 18.2043, SSIM: 0.5731\n",
            "Epoch [9/10], Step [1190/1500], Loss: 0.0148, PSNR: 19.0668, SSIM: 0.6571\n",
            "Epoch [9/10], Step [1200/1500], Loss: 0.0139, PSNR: 20.5124, SSIM: 0.6828\n",
            "Epoch [9/10], Step [1210/1500], Loss: 0.0166, PSNR: 17.5946, SSIM: 0.5853\n",
            "Epoch [9/10], Step [1220/1500], Loss: 0.0155, PSNR: 17.5062, SSIM: 0.6412\n",
            "Epoch [9/10], Step [1230/1500], Loss: 0.0140, PSNR: 19.6463, SSIM: 0.6594\n",
            "Epoch [9/10], Step [1240/1500], Loss: 0.0125, PSNR: 20.4575, SSIM: 0.6183\n",
            "Epoch [9/10], Step [1250/1500], Loss: 0.0151, PSNR: 18.7738, SSIM: 0.7127\n",
            "Epoch [9/10], Step [1260/1500], Loss: 0.0127, PSNR: 20.8731, SSIM: 0.7079\n",
            "Epoch [9/10], Step [1270/1500], Loss: 0.0138, PSNR: 21.8157, SSIM: 0.6997\n",
            "Epoch [9/10], Step [1280/1500], Loss: 0.0169, PSNR: 19.5913, SSIM: 0.6180\n",
            "Epoch [9/10], Step [1290/1500], Loss: 0.0127, PSNR: 20.3549, SSIM: 0.6839\n",
            "Epoch [9/10], Step [1300/1500], Loss: 0.0118, PSNR: 21.8124, SSIM: 0.7109\n",
            "Epoch [9/10], Step [1310/1500], Loss: 0.0196, PSNR: 19.1945, SSIM: 0.6442\n",
            "Epoch [9/10], Step [1320/1500], Loss: 0.0162, PSNR: 19.2597, SSIM: 0.6126\n",
            "Epoch [9/10], Step [1330/1500], Loss: 0.0142, PSNR: 20.6232, SSIM: 0.6738\n",
            "Epoch [9/10], Step [1340/1500], Loss: 0.0153, PSNR: 19.0552, SSIM: 0.6326\n",
            "Epoch [9/10], Step [1350/1500], Loss: 0.0090, PSNR: 20.3931, SSIM: 0.6371\n",
            "Epoch [9/10], Step [1360/1500], Loss: 0.0118, PSNR: 20.4656, SSIM: 0.7069\n",
            "Epoch [9/10], Step [1370/1500], Loss: 0.0138, PSNR: 19.5095, SSIM: 0.6117\n",
            "Epoch [9/10], Step [1380/1500], Loss: 0.0148, PSNR: 20.2118, SSIM: 0.6008\n",
            "Epoch [9/10], Step [1390/1500], Loss: 0.0175, PSNR: 18.7930, SSIM: 0.6216\n",
            "Epoch [9/10], Step [1400/1500], Loss: 0.0154, PSNR: 20.2626, SSIM: 0.6388\n",
            "Epoch [9/10], Step [1410/1500], Loss: 0.0171, PSNR: 20.3788, SSIM: 0.6723\n",
            "Epoch [9/10], Step [1420/1500], Loss: 0.0159, PSNR: 22.9011, SSIM: 0.6563\n",
            "Epoch [9/10], Step [1430/1500], Loss: 0.0131, PSNR: 20.5292, SSIM: 0.6560\n",
            "Epoch [9/10], Step [1440/1500], Loss: 0.0122, PSNR: 21.2164, SSIM: 0.6684\n",
            "Epoch [9/10], Step [1450/1500], Loss: 0.0148, PSNR: 21.3223, SSIM: 0.6603\n",
            "Epoch [9/10], Step [1460/1500], Loss: 0.0141, PSNR: 20.9733, SSIM: 0.6297\n",
            "Epoch [9/10], Step [1470/1500], Loss: 0.0125, PSNR: 20.9607, SSIM: 0.6903\n",
            "Epoch [9/10], Step [1480/1500], Loss: 0.0156, PSNR: 17.3727, SSIM: 0.6055\n",
            "Epoch [9/10], Step [1490/1500], Loss: 0.0173, PSNR: 19.6244, SSIM: 0.6199\n",
            "Epoch [9/10], Step [1500/1500], Loss: 0.0132, PSNR: 20.8284, SSIM: 0.6724\n",
            "Epoch [10/10], Step [10/1500], Loss: 0.0124, PSNR: 20.2467, SSIM: 0.6888\n",
            "Epoch [10/10], Step [20/1500], Loss: 0.0127, PSNR: 19.8080, SSIM: 0.6922\n",
            "Epoch [10/10], Step [30/1500], Loss: 0.0222, PSNR: 20.6577, SSIM: 0.6711\n",
            "Epoch [10/10], Step [40/1500], Loss: 0.0154, PSNR: 20.4776, SSIM: 0.6186\n",
            "Epoch [10/10], Step [50/1500], Loss: 0.0158, PSNR: 20.5561, SSIM: 0.6768\n",
            "Epoch [10/10], Step [60/1500], Loss: 0.0145, PSNR: 18.8754, SSIM: 0.5752\n",
            "Epoch [10/10], Step [70/1500], Loss: 0.0121, PSNR: 20.8637, SSIM: 0.6529\n",
            "Epoch [10/10], Step [80/1500], Loss: 0.0144, PSNR: 23.0361, SSIM: 0.7144\n",
            "Epoch [10/10], Step [90/1500], Loss: 0.0160, PSNR: 20.7046, SSIM: 0.6485\n",
            "Epoch [10/10], Step [100/1500], Loss: 0.0141, PSNR: 20.7631, SSIM: 0.6409\n",
            "Epoch [10/10], Step [110/1500], Loss: 0.0155, PSNR: 22.8531, SSIM: 0.6817\n",
            "Epoch [10/10], Step [120/1500], Loss: 0.0174, PSNR: 18.9068, SSIM: 0.6029\n",
            "Epoch [10/10], Step [130/1500], Loss: 0.0130, PSNR: 19.8123, SSIM: 0.6538\n",
            "Epoch [10/10], Step [140/1500], Loss: 0.0178, PSNR: 21.1709, SSIM: 0.6507\n",
            "Epoch [10/10], Step [150/1500], Loss: 0.0132, PSNR: 17.0415, SSIM: 0.5930\n",
            "Epoch [10/10], Step [160/1500], Loss: 0.0116, PSNR: 22.1800, SSIM: 0.6417\n",
            "Epoch [10/10], Step [170/1500], Loss: 0.0180, PSNR: 21.2247, SSIM: 0.7162\n",
            "Epoch [10/10], Step [180/1500], Loss: 0.0141, PSNR: 19.0559, SSIM: 0.6788\n",
            "Epoch [10/10], Step [190/1500], Loss: 0.0137, PSNR: 18.5969, SSIM: 0.6375\n",
            "Epoch [10/10], Step [200/1500], Loss: 0.0139, PSNR: 20.0500, SSIM: 0.6995\n",
            "Epoch [10/10], Step [210/1500], Loss: 0.0144, PSNR: 18.6033, SSIM: 0.6638\n",
            "Epoch [10/10], Step [220/1500], Loss: 0.0147, PSNR: 18.6844, SSIM: 0.6368\n",
            "Epoch [10/10], Step [230/1500], Loss: 0.0128, PSNR: 24.0569, SSIM: 0.7354\n",
            "Epoch [10/10], Step [240/1500], Loss: 0.0143, PSNR: 18.0812, SSIM: 0.6498\n",
            "Epoch [10/10], Step [250/1500], Loss: 0.0146, PSNR: 19.3785, SSIM: 0.6518\n",
            "Epoch [10/10], Step [260/1500], Loss: 0.0114, PSNR: 21.1914, SSIM: 0.6617\n",
            "Epoch [10/10], Step [270/1500], Loss: 0.0147, PSNR: 19.2750, SSIM: 0.6444\n",
            "Epoch [10/10], Step [280/1500], Loss: 0.0135, PSNR: 19.6440, SSIM: 0.6689\n",
            "Epoch [10/10], Step [290/1500], Loss: 0.0119, PSNR: 22.9519, SSIM: 0.6941\n",
            "Epoch [10/10], Step [300/1500], Loss: 0.0152, PSNR: 19.0545, SSIM: 0.6416\n",
            "Epoch [10/10], Step [310/1500], Loss: 0.0102, PSNR: 22.1790, SSIM: 0.7156\n",
            "Epoch [10/10], Step [320/1500], Loss: 0.0138, PSNR: 20.9773, SSIM: 0.6700\n",
            "Epoch [10/10], Step [330/1500], Loss: 0.0144, PSNR: 19.1627, SSIM: 0.6406\n",
            "Epoch [10/10], Step [340/1500], Loss: 0.0168, PSNR: 18.4536, SSIM: 0.6021\n",
            "Epoch [10/10], Step [350/1500], Loss: 0.0143, PSNR: 18.5092, SSIM: 0.6241\n",
            "Epoch [10/10], Step [360/1500], Loss: 0.0119, PSNR: 21.6374, SSIM: 0.6761\n",
            "Epoch [10/10], Step [370/1500], Loss: 0.0139, PSNR: 18.7323, SSIM: 0.6522\n",
            "Epoch [10/10], Step [380/1500], Loss: 0.0136, PSNR: 19.7758, SSIM: 0.6719\n",
            "Epoch [10/10], Step [390/1500], Loss: 0.0147, PSNR: 17.8004, SSIM: 0.6004\n",
            "Epoch [10/10], Step [400/1500], Loss: 0.0156, PSNR: 20.7799, SSIM: 0.6431\n",
            "Epoch [10/10], Step [410/1500], Loss: 0.0151, PSNR: 21.3538, SSIM: 0.7017\n",
            "Epoch [10/10], Step [420/1500], Loss: 0.0132, PSNR: 21.3695, SSIM: 0.7088\n",
            "Epoch [10/10], Step [430/1500], Loss: 0.0106, PSNR: 20.0485, SSIM: 0.6917\n",
            "Epoch [10/10], Step [440/1500], Loss: 0.0162, PSNR: 20.4736, SSIM: 0.7043\n",
            "Epoch [10/10], Step [450/1500], Loss: 0.0144, PSNR: 21.5586, SSIM: 0.6614\n",
            "Epoch [10/10], Step [460/1500], Loss: 0.0136, PSNR: 20.4368, SSIM: 0.6745\n",
            "Epoch [10/10], Step [470/1500], Loss: 0.0171, PSNR: 21.4186, SSIM: 0.7235\n",
            "Epoch [10/10], Step [480/1500], Loss: 0.0126, PSNR: 19.8302, SSIM: 0.6682\n",
            "Epoch [10/10], Step [490/1500], Loss: 0.0099, PSNR: 21.9982, SSIM: 0.7058\n",
            "Epoch [10/10], Step [500/1500], Loss: 0.0143, PSNR: 20.4082, SSIM: 0.6774\n",
            "Epoch [10/10], Step [510/1500], Loss: 0.0135, PSNR: 21.5106, SSIM: 0.7113\n",
            "Epoch [10/10], Step [520/1500], Loss: 0.0131, PSNR: 19.3515, SSIM: 0.5928\n",
            "Epoch [10/10], Step [530/1500], Loss: 0.0135, PSNR: 19.2501, SSIM: 0.6673\n",
            "Epoch [10/10], Step [540/1500], Loss: 0.0151, PSNR: 20.5325, SSIM: 0.6478\n",
            "Epoch [10/10], Step [550/1500], Loss: 0.0178, PSNR: 17.3195, SSIM: 0.5670\n",
            "Epoch [10/10], Step [560/1500], Loss: 0.0127, PSNR: 19.4711, SSIM: 0.6144\n",
            "Epoch [10/10], Step [570/1500], Loss: 0.0202, PSNR: 19.7392, SSIM: 0.6153\n",
            "Epoch [10/10], Step [580/1500], Loss: 0.0151, PSNR: 17.8592, SSIM: 0.5879\n",
            "Epoch [10/10], Step [590/1500], Loss: 0.0109, PSNR: 20.1702, SSIM: 0.6742\n",
            "Epoch [10/10], Step [600/1500], Loss: 0.0171, PSNR: 21.2265, SSIM: 0.7018\n",
            "Epoch [10/10], Step [610/1500], Loss: 0.0117, PSNR: 20.7868, SSIM: 0.6630\n",
            "Epoch [10/10], Step [620/1500], Loss: 0.0155, PSNR: 18.4976, SSIM: 0.6865\n",
            "Epoch [10/10], Step [630/1500], Loss: 0.0169, PSNR: 20.0496, SSIM: 0.6830\n",
            "Epoch [10/10], Step [640/1500], Loss: 0.0131, PSNR: 20.4661, SSIM: 0.6638\n",
            "Epoch [10/10], Step [650/1500], Loss: 0.0134, PSNR: 20.5279, SSIM: 0.6159\n",
            "Epoch [10/10], Step [660/1500], Loss: 0.0214, PSNR: 17.0214, SSIM: 0.5965\n",
            "Epoch [10/10], Step [670/1500], Loss: 0.0136, PSNR: 20.8273, SSIM: 0.6761\n",
            "Epoch [10/10], Step [680/1500], Loss: 0.0126, PSNR: 19.5898, SSIM: 0.6662\n",
            "Epoch [10/10], Step [690/1500], Loss: 0.0108, PSNR: 21.7235, SSIM: 0.7257\n",
            "Epoch [10/10], Step [700/1500], Loss: 0.0112, PSNR: 21.9668, SSIM: 0.7277\n",
            "Epoch [10/10], Step [710/1500], Loss: 0.0178, PSNR: 19.6259, SSIM: 0.6273\n",
            "Epoch [10/10], Step [720/1500], Loss: 0.0195, PSNR: 17.0468, SSIM: 0.5942\n",
            "Epoch [10/10], Step [730/1500], Loss: 0.0121, PSNR: 20.4055, SSIM: 0.6295\n",
            "Epoch [10/10], Step [740/1500], Loss: 0.0138, PSNR: 22.2713, SSIM: 0.6938\n",
            "Epoch [10/10], Step [750/1500], Loss: 0.0114, PSNR: 18.8901, SSIM: 0.6009\n",
            "Epoch [10/10], Step [760/1500], Loss: 0.0155, PSNR: 18.6906, SSIM: 0.6435\n",
            "Epoch [10/10], Step [770/1500], Loss: 0.0160, PSNR: 20.3484, SSIM: 0.6945\n",
            "Epoch [10/10], Step [780/1500], Loss: 0.0115, PSNR: 19.1552, SSIM: 0.6704\n",
            "Epoch [10/10], Step [790/1500], Loss: 0.0129, PSNR: 22.0039, SSIM: 0.6904\n",
            "Epoch [10/10], Step [800/1500], Loss: 0.0215, PSNR: 20.2028, SSIM: 0.6279\n",
            "Epoch [10/10], Step [810/1500], Loss: 0.0151, PSNR: 20.9843, SSIM: 0.6618\n",
            "Epoch [10/10], Step [820/1500], Loss: 0.0139, PSNR: 19.0790, SSIM: 0.6360\n",
            "Epoch [10/10], Step [830/1500], Loss: 0.0156, PSNR: 19.9424, SSIM: 0.6787\n",
            "Epoch [10/10], Step [840/1500], Loss: 0.0112, PSNR: 21.9558, SSIM: 0.6750\n",
            "Epoch [10/10], Step [850/1500], Loss: 0.0184, PSNR: 20.7933, SSIM: 0.6528\n",
            "Epoch [10/10], Step [860/1500], Loss: 0.0189, PSNR: 19.5167, SSIM: 0.6383\n",
            "Epoch [10/10], Step [870/1500], Loss: 0.0127, PSNR: 19.9570, SSIM: 0.6347\n",
            "Epoch [10/10], Step [880/1500], Loss: 0.0181, PSNR: 19.2551, SSIM: 0.6348\n",
            "Epoch [10/10], Step [890/1500], Loss: 0.0119, PSNR: 21.5039, SSIM: 0.6225\n",
            "Epoch [10/10], Step [900/1500], Loss: 0.0180, PSNR: 18.6656, SSIM: 0.6359\n",
            "Epoch [10/10], Step [910/1500], Loss: 0.0148, PSNR: 20.0381, SSIM: 0.6387\n",
            "Epoch [10/10], Step [920/1500], Loss: 0.0100, PSNR: 22.1196, SSIM: 0.7347\n",
            "Epoch [10/10], Step [930/1500], Loss: 0.0218, PSNR: 16.6402, SSIM: 0.6073\n",
            "Epoch [10/10], Step [940/1500], Loss: 0.0121, PSNR: 21.3039, SSIM: 0.6664\n",
            "Epoch [10/10], Step [950/1500], Loss: 0.0110, PSNR: 20.2578, SSIM: 0.6840\n",
            "Epoch [10/10], Step [960/1500], Loss: 0.0135, PSNR: 21.3779, SSIM: 0.7199\n",
            "Epoch [10/10], Step [970/1500], Loss: 0.0125, PSNR: 20.4601, SSIM: 0.6610\n",
            "Epoch [10/10], Step [980/1500], Loss: 0.0201, PSNR: 19.8334, SSIM: 0.6651\n",
            "Epoch [10/10], Step [990/1500], Loss: 0.0143, PSNR: 19.9564, SSIM: 0.6569\n",
            "Epoch [10/10], Step [1000/1500], Loss: 0.0120, PSNR: 19.9629, SSIM: 0.6544\n",
            "Epoch [10/10], Step [1010/1500], Loss: 0.0114, PSNR: 20.8412, SSIM: 0.6710\n",
            "Epoch [10/10], Step [1020/1500], Loss: 0.0129, PSNR: 21.6081, SSIM: 0.6850\n",
            "Epoch [10/10], Step [1030/1500], Loss: 0.0122, PSNR: 20.2422, SSIM: 0.7040\n",
            "Epoch [10/10], Step [1040/1500], Loss: 0.0124, PSNR: 19.1001, SSIM: 0.6604\n",
            "Epoch [10/10], Step [1050/1500], Loss: 0.0127, PSNR: 20.1603, SSIM: 0.7139\n",
            "Epoch [10/10], Step [1060/1500], Loss: 0.0136, PSNR: 20.2299, SSIM: 0.6387\n",
            "Epoch [10/10], Step [1070/1500], Loss: 0.0122, PSNR: 19.7963, SSIM: 0.6935\n",
            "Epoch [10/10], Step [1080/1500], Loss: 0.0108, PSNR: 20.9859, SSIM: 0.6685\n",
            "Epoch [10/10], Step [1090/1500], Loss: 0.0149, PSNR: 18.0322, SSIM: 0.6576\n",
            "Epoch [10/10], Step [1100/1500], Loss: 0.0131, PSNR: 20.3403, SSIM: 0.6488\n",
            "Epoch [10/10], Step [1110/1500], Loss: 0.0143, PSNR: 19.8738, SSIM: 0.6680\n",
            "Epoch [10/10], Step [1120/1500], Loss: 0.0134, PSNR: 19.6764, SSIM: 0.5972\n",
            "Epoch [10/10], Step [1130/1500], Loss: 0.0160, PSNR: 21.3074, SSIM: 0.7435\n",
            "Epoch [10/10], Step [1140/1500], Loss: 0.0142, PSNR: 20.3250, SSIM: 0.6786\n",
            "Epoch [10/10], Step [1150/1500], Loss: 0.0125, PSNR: 21.6028, SSIM: 0.7014\n",
            "Epoch [10/10], Step [1160/1500], Loss: 0.0115, PSNR: 20.6185, SSIM: 0.7015\n",
            "Epoch [10/10], Step [1170/1500], Loss: 0.0136, PSNR: 20.4555, SSIM: 0.6858\n",
            "Epoch [10/10], Step [1180/1500], Loss: 0.0136, PSNR: 20.7545, SSIM: 0.6665\n",
            "Epoch [10/10], Step [1190/1500], Loss: 0.0171, PSNR: 19.0808, SSIM: 0.6200\n",
            "Epoch [10/10], Step [1200/1500], Loss: 0.0123, PSNR: 20.9254, SSIM: 0.6720\n",
            "Epoch [10/10], Step [1210/1500], Loss: 0.0143, PSNR: 20.7568, SSIM: 0.6858\n",
            "Epoch [10/10], Step [1220/1500], Loss: 0.0199, PSNR: 19.9482, SSIM: 0.5756\n",
            "Epoch [10/10], Step [1230/1500], Loss: 0.0153, PSNR: 18.6637, SSIM: 0.6527\n",
            "Epoch [10/10], Step [1240/1500], Loss: 0.0142, PSNR: 21.3324, SSIM: 0.6369\n",
            "Epoch [10/10], Step [1250/1500], Loss: 0.0185, PSNR: 17.9701, SSIM: 0.6400\n",
            "Epoch [10/10], Step [1260/1500], Loss: 0.0127, PSNR: 19.2298, SSIM: 0.6480\n",
            "Epoch [10/10], Step [1270/1500], Loss: 0.0190, PSNR: 18.7663, SSIM: 0.6594\n",
            "Epoch [10/10], Step [1280/1500], Loss: 0.0112, PSNR: 20.3444, SSIM: 0.6477\n",
            "Epoch [10/10], Step [1290/1500], Loss: 0.0161, PSNR: 20.1415, SSIM: 0.6682\n",
            "Epoch [10/10], Step [1300/1500], Loss: 0.0132, PSNR: 20.7681, SSIM: 0.6993\n",
            "Epoch [10/10], Step [1310/1500], Loss: 0.0119, PSNR: 19.5485, SSIM: 0.6381\n",
            "Epoch [10/10], Step [1320/1500], Loss: 0.0184, PSNR: 17.8645, SSIM: 0.6212\n",
            "Epoch [10/10], Step [1330/1500], Loss: 0.0198, PSNR: 19.9518, SSIM: 0.6393\n",
            "Epoch [10/10], Step [1340/1500], Loss: 0.0151, PSNR: 20.3613, SSIM: 0.6676\n",
            "Epoch [10/10], Step [1350/1500], Loss: 0.0167, PSNR: 21.1132, SSIM: 0.6761\n",
            "Epoch [10/10], Step [1360/1500], Loss: 0.0142, PSNR: 18.8264, SSIM: 0.5979\n",
            "Epoch [10/10], Step [1370/1500], Loss: 0.0153, PSNR: 19.1293, SSIM: 0.6607\n",
            "Epoch [10/10], Step [1380/1500], Loss: 0.0148, PSNR: 20.2394, SSIM: 0.6032\n",
            "Epoch [10/10], Step [1390/1500], Loss: 0.0172, PSNR: 19.1105, SSIM: 0.6478\n",
            "Epoch [10/10], Step [1400/1500], Loss: 0.0156, PSNR: 21.9876, SSIM: 0.6187\n",
            "Epoch [10/10], Step [1410/1500], Loss: 0.0127, PSNR: 19.8962, SSIM: 0.6356\n",
            "Epoch [10/10], Step [1420/1500], Loss: 0.0123, PSNR: 20.3464, SSIM: 0.6381\n",
            "Epoch [10/10], Step [1430/1500], Loss: 0.0162, PSNR: 21.9940, SSIM: 0.6870\n",
            "Epoch [10/10], Step [1440/1500], Loss: 0.0160, PSNR: 19.7551, SSIM: 0.6325\n",
            "Epoch [10/10], Step [1450/1500], Loss: 0.0133, PSNR: 21.2817, SSIM: 0.7101\n",
            "Epoch [10/10], Step [1460/1500], Loss: 0.0148, PSNR: 19.5081, SSIM: 0.6748\n",
            "Epoch [10/10], Step [1470/1500], Loss: 0.0136, PSNR: 19.0997, SSIM: 0.6715\n",
            "Epoch [10/10], Step [1480/1500], Loss: 0.0138, PSNR: 20.6978, SSIM: 0.7157\n",
            "Epoch [10/10], Step [1490/1500], Loss: 0.0130, PSNR: 20.3077, SSIM: 0.7034\n",
            "Epoch [10/10], Step [1500/1500], Loss: 0.0199, PSNR: 19.1100, SSIM: 0.6297\n",
            "Finished Training\n"
          ]
        }
      ],
      "source": [
        "# Training Loop\n",
        "for epoch in range(num_epochs):\n",
        "    model.train()\n",
        "    running_loss = 0.0\n",
        "    psnr_total = 0.0\n",
        "    ssim_total = 0.0\n",
        "    num_batches = 0\n",
        "\n",
        "    for i, data in enumerate(train_loader):\n",
        "        inputs, targets = data\n",
        "        inputs, targets = inputs.cuda(), targets.cuda()\n",
        "\n",
        "        optimizer.zero_grad()\n",
        "        outputs = model(inputs)\n",
        "        loss = criterion(outputs, targets)\n",
        "        loss.backward()\n",
        "        optimizer.step()\n",
        "\n",
        "        running_loss += loss.item()\n",
        "        psnr = calculate_psnr(outputs[0], targets[0])\n",
        "        ssim = calculate_ssim(outputs[0], targets[0])\n",
        "        psnr_total += psnr\n",
        "        ssim_total += ssim\n",
        "        num_batches += 1\n",
        "\n",
        "        if i % 10 == 9:  # print every 10 mini-batches\n",
        "            avg_loss = running_loss / 10\n",
        "            avg_psnr = psnr_total / 10\n",
        "            avg_ssim = ssim_total / 10\n",
        "            print(f'Epoch [{epoch + 1}/{num_epochs}], Step [{i + 1}/{len(train_loader)}], Loss: {avg_loss:.4f}, PSNR: {avg_psnr:.4f}, SSIM: {avg_ssim:.4f}')\n",
        "            running_loss = 0.0\n",
        "            psnr_total = 0.0\n",
        "            ssim_total = 0.0\n",
        "\n",
        "    # Calculate average PSNR and SSIM for the epoch\n",
        "    avg_loss_epoch = running_loss / num_batches\n",
        "    avg_psnr_epoch = psnr_total / num_batches\n",
        "    avg_ssim_epoch = ssim_total / num_batches\n",
        "\n",
        "    # Store metrics\n",
        "    epoch_list.append(epoch + 1)\n",
        "    loss_list.append(avg_loss_epoch)\n",
        "    psnr_list.append(avg_psnr_epoch)\n",
        "    ssim_list.append(avg_ssim_epoch)\n",
        "\n",
        "    # # Save metrics for the epoch\n",
        "    # with open(os.path.join(results_dir, f'epoch_{epoch + 1}.txt'), 'w') as f:\n",
        "    #     f.write(f'Epoch: {epoch + 1}, Loss: {avg_loss_epoch:.4f}, PSNR: {avg_psnr_epoch:.4f}, SSIM: {avg_ssim_epoch:.4f}\\n')\n",
        "\n",
        "    # # Save model checkpoint\n",
        "    # torch.save(model.state_dict(), os.path.join(results_dir, f'cvt_epoch_{epoch + 1}.pth'))\n",
        "\n",
        "print('Finished Training')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 63,
      "metadata": {
        "id": "Nu9btXZkCZwp"
      },
      "outputs": [],
      "source": [
        "# Create a DataFrame to store the metrics\n",
        "metrics_df = pd.DataFrame({\n",
        "    'Epoch': epoch_list,\n",
        "    'Loss': loss_list,\n",
        "    'PSNR': psnr_list,\n",
        "    'SSIM': ssim_list\n",
        "})\n",
        "\n",
        "# Save the DataFrame to a CSV file\n",
        "metrics_df.to_csv(os.path.join(\"\", 'training_metrics.csv'), index=False)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Testing the model with a sample image"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 65,
      "metadata": {
        "id": "CqC4fwiJkgMm"
      },
      "outputs": [],
      "source": [
        "# Load the trained model\n",
        "# model = SimpleCVT(img_size=img_size).cuda()\n",
        "# model.load_state_dict(torch.load('results/cvt_epoch_10.pth'))\n",
        "model.eval()\n",
        "\n",
        "def preprocess_image(image_path, img_size):\n",
        "    img = cv2.imread(image_path, cv2.IMREAD_COLOR)\n",
        "    img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)\n",
        "    img = cv2.resize(img, (img_size, img_size))\n",
        "    img = img.astype(np.float32) / 255.0\n",
        "    # Convert to tensor and add batch dimension\n",
        "    img = torch.tensor(img).permute(2, 0, 1).unsqueeze(0).cuda()\n",
        "    return img\n",
        "\n",
        "def postprocess_and_save_image(output_tensor, output_path):\n",
        "    output_image = output_tensor.squeeze().permute(1, 2, 0).cpu().numpy()\n",
        "    output_image = (output_image * 255).astype(np.uint8)\n",
        "    output_image = cv2.cvtColor(output_image, cv2.COLOR_RGB2BGR)\n",
        "    cv2.imwrite(output_path, output_image)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 66,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BAuWPyJ-ktps",
        "outputId": "3e200489-594a-460f-f511-b98445097a4f"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Dehazing completed and image saved!\n"
          ]
        }
      ],
      "source": [
        "# Preprocess the input image\n",
        "input_image_path = 'data/train/hazy/8.jpg'\n",
        "input_image = preprocess_image(input_image_path, img_size)\n",
        "\n",
        "# Run the model for dehazing\n",
        "with torch.no_grad():\n",
        "    output_image = model(input_image)\n",
        "\n",
        "# Save the dehazed image\n",
        "output_image_path = 'dehazed_image.jpg'\n",
        "postprocess_and_save_image(output_image, output_image_path)\n",
        "\n",
        "print('Dehazing completed and image saved!')\n"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "gpuType": "T4",
      "provenance": []
    },
    "kernelspec": {
      "display_name": "sci",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.11.9"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}