Combine-OO.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "available-machinery",
   "metadata": {},
   "source": [
    "## Ensemble"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "virtual-fairy",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mon Mar 13 12:57:14 2023       \r\n",
      "+-----------------------------------------------------------------------------+\r\n",
      "| NVIDIA-SMI 470.161.03   Driver Version: 470.161.03   CUDA Version: 11.4     |\r\n",
      "|-------------------------------+----------------------+----------------------+\r\n",
      "| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |\r\n",
      "| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |\r\n",
      "|                               |                      |               MIG M. |\r\n",
      "|===============================+======================+======================|\r\n",
      "|   0  NVIDIA GeForce ...  Off  | 00000000:01:00.0 Off |                  N/A |\r\n",
      "|  0%   30C    P8     7W / 320W |      5MiB / 10018MiB |      0%      Default |\r\n",
      "|                               |                      |                  N/A |\r\n",
      "+-------------------------------+----------------------+----------------------+\r\n",
      "                                                                               \r\n",
      "+-----------------------------------------------------------------------------+\r\n",
      "| Processes:                                                                  |\r\n",
      "|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |\r\n",
      "|        ID   ID                                                   Usage      |\r\n",
      "|=============================================================================|\r\n",
      "+-----------------------------------------------------------------------------+\r\n"
     ]
    }
   ],
   "source": [
    "!nvidia-smi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "known-peoples",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: segmentation_models_pytorch in /opt/conda/lib/python3.7/site-packages (0.3.2)\n",
      "Requirement already satisfied: pillow in /opt/conda/lib/python3.7/site-packages (from segmentation_models_pytorch) (8.1.2)\n",
      "Requirement already satisfied: pretrainedmodels==0.7.4 in /opt/conda/lib/python3.7/site-packages (from segmentation_models_pytorch) (0.7.4)\n",
      "Requirement already satisfied: torchvision>=0.5.0 in /opt/conda/lib/python3.7/site-packages (from segmentation_models_pytorch) (0.8.1)\n",
      "Requirement already satisfied: tqdm in /opt/conda/lib/python3.7/site-packages (from segmentation_models_pytorch) (4.65.0)\n",
      "Requirement already satisfied: timm==0.6.12 in /opt/conda/lib/python3.7/site-packages (from segmentation_models_pytorch) (0.6.12)\n",
      "Requirement already satisfied: efficientnet-pytorch==0.7.1 in /opt/conda/lib/python3.7/site-packages (from segmentation_models_pytorch) (0.7.1)\n",
      "Requirement already satisfied: torch in /opt/conda/lib/python3.7/site-packages (from efficientnet-pytorch==0.7.1->segmentation_models_pytorch) (1.7.0)\n",
      "Requirement already satisfied: munch in /opt/conda/lib/python3.7/site-packages (from pretrainedmodels==0.7.4->segmentation_models_pytorch) (2.5.0)\n",
      "Requirement already satisfied: pyyaml in /opt/conda/lib/python3.7/site-packages (from timm==0.6.12->segmentation_models_pytorch) (5.4.1)\n",
      "Requirement already satisfied: huggingface-hub in /opt/conda/lib/python3.7/site-packages (from timm==0.6.12->segmentation_models_pytorch) (0.12.1)\n",
      "Requirement already satisfied: future in /opt/conda/lib/python3.7/site-packages (from torch->efficientnet-pytorch==0.7.1->segmentation_models_pytorch) (0.18.2)\n",
      "Requirement already satisfied: typing_extensions in /opt/conda/lib/python3.7/site-packages (from torch->efficientnet-pytorch==0.7.1->segmentation_models_pytorch) (4.5.0)\n",
      "Requirement already satisfied: dataclasses in /opt/conda/lib/python3.7/site-packages (from torch->efficientnet-pytorch==0.7.1->segmentation_models_pytorch) (0.6)\n",
      "Requirement already satisfied: numpy in /opt/conda/lib/python3.7/site-packages (from torch->efficientnet-pytorch==0.7.1->segmentation_models_pytorch) (1.19.5)\n",
      "Requirement already satisfied: requests in /opt/conda/lib/python3.7/site-packages (from huggingface-hub->timm==0.6.12->segmentation_models_pytorch) (2.25.1)\n",
      "Requirement already satisfied: packaging>=20.9 in /opt/conda/lib/python3.7/site-packages (from huggingface-hub->timm==0.6.12->segmentation_models_pytorch) (20.9)\n",
      "Requirement already satisfied: importlib-metadata in /opt/conda/lib/python3.7/site-packages (from huggingface-hub->timm==0.6.12->segmentation_models_pytorch) (3.4.0)\n",
      "Requirement already satisfied: filelock in /opt/conda/lib/python3.7/site-packages (from huggingface-hub->timm==0.6.12->segmentation_models_pytorch) (3.0.12)\n",
      "Requirement already satisfied: pyparsing>=2.0.2 in /opt/conda/lib/python3.7/site-packages (from packaging>=20.9->huggingface-hub->timm==0.6.12->segmentation_models_pytorch) (2.4.7)\n",
      "Requirement already satisfied: zipp>=0.5 in /opt/conda/lib/python3.7/site-packages (from importlib-metadata->huggingface-hub->timm==0.6.12->segmentation_models_pytorch) (3.4.1)\n",
      "Requirement already satisfied: six in /opt/conda/lib/python3.7/site-packages (from munch->pretrainedmodels==0.7.4->segmentation_models_pytorch) (1.15.0)\n",
      "Requirement already satisfied: idna<3,>=2.5 in /opt/conda/lib/python3.7/site-packages (from requests->huggingface-hub->timm==0.6.12->segmentation_models_pytorch) (2.10)\n",
      "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /opt/conda/lib/python3.7/site-packages (from requests->huggingface-hub->timm==0.6.12->segmentation_models_pytorch) (1.26.4)\n",
      "Requirement already satisfied: chardet<5,>=3.0.2 in /opt/conda/lib/python3.7/site-packages (from requests->huggingface-hub->timm==0.6.12->segmentation_models_pytorch) (4.0.0)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/lib/python3.7/site-packages (from requests->huggingface-hub->timm==0.6.12->segmentation_models_pytorch) (2021.5.30)\n"
     ]
    }
   ],
   "source": [
    "!pip install segmentation_models_pytorch"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "sexual-cartridge",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: timm in /opt/conda/lib/python3.7/site-packages (0.6.12)\n",
      "Requirement already satisfied: torchvision in /opt/conda/lib/python3.7/site-packages (from timm) (0.8.1)\n",
      "Requirement already satisfied: huggingface-hub in /opt/conda/lib/python3.7/site-packages (from timm) (0.12.1)\n",
      "Requirement already satisfied: torch>=1.7 in /opt/conda/lib/python3.7/site-packages (from timm) (1.7.0)\n",
      "Requirement already satisfied: pyyaml in /opt/conda/lib/python3.7/site-packages (from timm) (5.4.1)\n",
      "Requirement already satisfied: future in /opt/conda/lib/python3.7/site-packages (from torch>=1.7->timm) (0.18.2)\n",
      "Requirement already satisfied: typing_extensions in /opt/conda/lib/python3.7/site-packages (from torch>=1.7->timm) (4.5.0)\n",
      "Requirement already satisfied: dataclasses in /opt/conda/lib/python3.7/site-packages (from torch>=1.7->timm) (0.6)\n",
      "Requirement already satisfied: numpy in /opt/conda/lib/python3.7/site-packages (from torch>=1.7->timm) (1.19.5)\n",
      "Requirement already satisfied: packaging>=20.9 in /opt/conda/lib/python3.7/site-packages (from huggingface-hub->timm) (20.9)\n",
      "Requirement already satisfied: filelock in /opt/conda/lib/python3.7/site-packages (from huggingface-hub->timm) (3.0.12)\n",
      "Requirement already satisfied: importlib-metadata in /opt/conda/lib/python3.7/site-packages (from huggingface-hub->timm) (3.4.0)\n",
      "Requirement already satisfied: tqdm>=4.42.1 in /opt/conda/lib/python3.7/site-packages (from huggingface-hub->timm) (4.65.0)\n",
      "Requirement already satisfied: requests in /opt/conda/lib/python3.7/site-packages (from huggingface-hub->timm) (2.25.1)\n",
      "Requirement already satisfied: pyparsing>=2.0.2 in /opt/conda/lib/python3.7/site-packages (from packaging>=20.9->huggingface-hub->timm) (2.4.7)\n",
      "Requirement already satisfied: zipp>=0.5 in /opt/conda/lib/python3.7/site-packages (from importlib-metadata->huggingface-hub->timm) (3.4.1)\n",
      "Requirement already satisfied: idna<3,>=2.5 in /opt/conda/lib/python3.7/site-packages (from requests->huggingface-hub->timm) (2.10)\n",
      "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /opt/conda/lib/python3.7/site-packages (from requests->huggingface-hub->timm) (1.26.4)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/lib/python3.7/site-packages (from requests->huggingface-hub->timm) (2021.5.30)\n",
      "Requirement already satisfied: chardet<5,>=3.0.2 in /opt/conda/lib/python3.7/site-packages (from requests->huggingface-hub->timm) (4.0.0)\n",
      "Requirement already satisfied: pillow>=4.1.1 in /opt/conda/lib/python3.7/site-packages (from torchvision->timm) (8.1.2)\n"
     ]
    }
   ],
   "source": [
    "!pip install timm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "superb-paradise",
   "metadata": {},
   "outputs": [],
   "source": [
    "import timm\n",
    "import random\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import os\n",
    "import glob\n",
    "import cv2\n",
    "import zipfile\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "import torch.optim as optim\n",
    "import torch.nn.functional as F\n",
    "from torch.utils.data import Dataset, DataLoader\n",
    "\n",
    "from tqdm.auto import tqdm\n",
    "from sklearn.metrics import mean_squared_error\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings(action='ignore') \n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.metrics import confusion_matrix\n",
    "\n",
    "import albumentations as albu\n",
    "from albumentations.pytorch import ToTensorV2\n",
    "import torchvision.transforms as transforms\n",
    "import sklearn\n",
    "from torch.cuda.amp import GradScaler\n",
    "from torch.cuda.amp import autocast \n",
    "import segmentation_models_pytorch as smp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "iraqi-tours",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "numpy verison : 1.19.5\n",
      "pandas version : 1.1.5\n",
      "opencv version : 4.5.2\n",
      "torch version : 1.7.0\n",
      "sklearn verison : 0.24.2\n",
      "albumentations version : 1.0.0\n"
     ]
    }
   ],
   "source": [
    "print('numpy verison :', np.__version__)\n",
    "print('pandas version :', pd.__version__)\n",
    "print('opencv version :', cv2.__version__)\n",
    "print('torch version :', torch.__version__)\n",
    "print('sklearn verison :', sklearn.__version__)\n",
    "print('albumentations version :', albu.__version__)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "promising-shepherd",
   "metadata": {},
   "outputs": [],
   "source": [
    "CFG = {\n",
    "    'WIDTH':48,\n",
    "    'HEIGHT':72,\n",
    "    'EPOCHS':10,\n",
    "    'LEARNING_RATE':1e-3,\n",
    "    'BATCH_SIZE':128,\n",
    "    'SEED':41\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "presidential-catering",
   "metadata": {},
   "outputs": [],
   "source": [
    "device = torch.device('cuda') if torch.cuda.is_available() else torch.device('cpu')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "touched-innocent",
   "metadata": {},
   "outputs": [],
   "source": [
    "simulation_sem_paths = sorted(glob.glob('./data/simulation_data/SEM/*/*/*.png'))\n",
    "\n",
    "simulation_depth_paths = sorted(glob.glob('./data/simulation_data/Depth/*/*/*.png')*4)\n",
    "\n",
    "test_sem_path_list = sorted(glob.glob('./data/test/SEM/*.png'))\n",
    "\n",
    "train_sem_path_list = sorted(glob.glob('./data/train/SEM/*/*/*.png'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "otherwise-unemployment",
   "metadata": {},
   "outputs": [],
   "source": [
    "def seed_everything(seed):\n",
    "    random.seed(seed)\n",
    "    os.environ['PYTHONHASHSEED'] = str(seed)\n",
    "    np.random.seed(seed)\n",
    "    torch.manual_seed(seed)\n",
    "    torch.cuda.manual_seed(seed)\n",
    "    torch.backends.cudnn.deterministic = True\n",
    "    torch.backends.cudnn.benchmark = False\n",
    "#     torch.backends.cudnn.enabled = False\n",
    "seed_everything(CFG['SEED']) # Seed 고정"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ignored-insight",
   "metadata": {},
   "source": [
    "## Classification"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "handled-japan",
   "metadata": {},
   "outputs": [],
   "source": [
    "class CustomDataset(Dataset):\n",
    "    def __init__(self, sem_path_list):\n",
    "        self.sem_path_list = sem_path_list\n",
    "\n",
    "\n",
    "    def __getitem__(self, index):\n",
    "#         transform = transforms.Pad((8,12,8,12))\n",
    "        \n",
    "        sem_path = self.sem_path_list[index]\n",
    "        sem_img = cv2.imread(sem_path, cv2.IMREAD_GRAYSCALE)\n",
    "        sem_img = np.expand_dims(sem_img, axis=-1).transpose(2,0,1)\n",
    "        sem_img = sem_img / 255.\n",
    "        sem_img = torch.Tensor(sem_img)\n",
    "        return sem_img # B,C,H,W\n",
    "\n",
    "        \n",
    "    def __len__(self):\n",
    "        return len(self.sem_path_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "personal-shelf",
   "metadata": {},
   "outputs": [],
   "source": [
    "test_dataset = CustomDataset(test_sem_path_list)\n",
    "test_loader = DataLoader(test_dataset, batch_size = CFG['BATCH_SIZE'], shuffle=False)\n",
    "model_names = ['resnet50', 'resnet34']\n",
    "\n",
    "#efficientnet_b3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "respiratory-reasoning",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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4G9khERht1gImMII+UGIiXK2YtIF0p7wBl6Xh9HKH9fnTdeoCtOMhVWMoLs6TxuSXo7MNIfmlzwxBKIxrx4dQAtVL+EJFvDHxwNJQH6IiXB6iEoinL0ondN+hbIaRZ1QMfUnXeZ7pBq9XboHjtXF+H0oHjxToIXJfll4ZNSveFGJDtjdX5TZliri3TXI7x4V+LDdJGZfEFiwO7onskAi4G9khERgptUgbHztyfcnf/UWGo7ks33rV6qqSojxQp+Q6XmMD6UtLHDcaEtausGiSrcmb+prIG5elOiJhXPULvkg0wxoHCe/ayTEhrpnyWa/I8KgajJBAsRc2tA7RF12udCT0i5jnkhRvTE+vhUw8Ly6i7XFpXK3xGJ68Qp8Kf4bXVzUYDwjNeFF0F4rxNPfbkPlHxrJcXhXHzoqbnszhboG7kR0SAXcjOyQCI+XIOa+Le4t9PvziBs1R9sikN7OiNX6+yRYldVTPeeR8bTEfSZ0jryoskgsWr0n71Lqk2ZSDSpcyrFTLtMWoI+mwAvelaS8rAqgQpxaElnvkmn47bKXqxVTwwttS/bPwfDlWb7LC5crb17n94mXRKY+Tz9ekA3ujwbSZfgenW0ybfUAm23mk8Fow/lqX7w5aCTxR52c7Po9hIsfjVIf7OAzja7HfGPOkMeYVY8wxY8znB8udtazDWwbDUIsugF+z1j4I4BEAv2SMeRDOWtbhLYRhDFquArg6GK8bY44DmMVNWMt2rYelTr+jV2emn+9S4DOX4fIjOaZyNP12QjSsKwsUtZTWGKZzq1K12hBKsMiKYqha1o0W6GBr+9Hm+koDdH1Jy4VEQEIhNL0Hj5/1xtjtDCCUjlOKo8dqMkpf5DwlDRgSKZVIG0xNKNEuViFTLR5f8YqYu0zxer28Sp3yT08/F4z/SbrXFTmPx7bS5XmqCc/cGL+bpRbXyY1FV2MVN/SyN/BJfg+ApzCktay6cTZWom8KB4dbxdA3sjFmDMBXAPyKtXZNf/dG1rLW2i9aax+21j5cmNxe6e/gcDMYKmthjMmgfxP/qbX2q4PFQ1vLRuFyqxKM9S22LCGoaBhSnurxj+BSlVTEWxNzl0WdlEbe8qX7WcO6XZW/R62KaWey0I9QlS8kAmIrVZwpixqshCjNhpib+FueBdJtHKrOSWVPl4cERHJupkz6pVprU2b4Tm9weX5FJrHZLVVEX6ql4jpf83mcbcPzVG2yCojKYtDyDw22SakoabUtE/742z9vh8laGABfAnDcWvs78itnLevwlsEwT+RHAfwCgJeMMc8Plv0H9K1kvzywmX0NwM/eliN0cBgCw2QtvgtI23IYN2Qtm/W62J/vv5m2ZPrcj5VeDcYXJXH+QoOT1Xx3iVPS1hcZErMNmWSmLdSiLo7yy2KmIlrj2K5l7ViWQoRmFWxNWqCEWmjYN6UtWYhNhHTGQktqWzzUYrIbobEfFhpx3yJSEo10KJMi89qZjnSUr8tkNVI08URY9Op16sCzHj/7iSmatTwoAqKvrD0UjHXiHRUNNWViHJ0U6ZoYt8TBlagdEgF3IzskAiPVWgAG/sC5XB3ly5Kd+H6H3nCaRE+LeUdqnG/Y2dMMoSFq0YoOuXG0IQTVGqtGOCbzgE70dLMh7UMc5LxCWQogTC2UQmzNbmwek2o49Lh1rBmTjmqwo7M86YaM6zKlcIfXYrZQDcaawahbrvOuwoVgrBMYqav9fI8UotqivkKn9o2DeyI7JALuRnZIBEZMLWxgrqJZi4zkRMoe32hPN6MnVO21RJ+gkb8uOgd5C8cQIV61ExqidWxjig9G2pjiuqvVyV5hMtHtTMCWrmiFF5NEEgrhi44iRINioF3knhQjrOwrXeO41eatc06sgg/k6NE332MGaly+17zh91HJqDxXuum720s3Fe6J7JAIuBvZIREYKbUwYLbCF23DdUmK60Q3eY9SwYWamJ2ImYinCQOd2bbFMBVrXIKYTpAY+9iQA31lQtYX/UbcBDhxHSWqfdjaNa1ZEtF2qCzTtqMzJiFPOe261mKMZj9U3imLsxuSzTC87krvJrOkBw/krgTjRSluqQP9dzYeCMZ5oRPXWlz/Yq0SjOtunj2HuwXuRnZIBEbu/baZrVBr2O81DwZjnY/tZI31/JV1hr78PA87tyqFkoZkBmKyBPrGH6IKBb6p6xt/qGtDCwhxmZCYTpAwhZBQqc2jG1u0FtoVonRCsycqJ1UKocUeo+twcWg7oh0x0nyqdE1YAMwGN3RV5kx8qnY4GH9mglP+fr9FmlgWrcXZBq1qNYOxkiEV06bUOLgnskMi4G5kh0RgpNSiY1O41um/mX6oTOlmBqQBTctQq1P7dlocZ9MM2b2sJuyli0IsWq2G6Ho0bdC3+dc1gW5uUzIPIQoRklhGUwuTi9NBCAVIh7+OUMOpTO8bRyFC7vVxzaoqMw3ZzQrF6SpdUw2GuOZ3eZ7FNGnTviwLIq90SBt00qKe5TF8dIL3gTYhX21yvKsQ7YKvcE9kh0TA3cgOicBIqUXZawSUYk+KzZE6De9yl4UPnZn+2TTts1ROmKnr27nsrBstewx5PGjBQcN1N86ZPmaWepVYqsYjE00nVHcRamLdQi1ChZlOTKZCP2OjCzmabbGaeZAiSMhDQzIs2sSblqYYv8jla6LNuC5FkPuydKPP57jjlyy9L767dl8wLond7GJDCmBDwD2RHRIBdyM7JAIjpRYtm8H5dp9GzBbowKmyPp0372KDvogxQR1GmUU3urPDhiaokUyFaB5CGQnRYIS6PGJc6rWBNGxzxbf8kCbCi7bY2ir1DGU6vOhnTtx0vqGshW6zKJoP9fUI6S5k6mHR2Ho9ycJ0xONCtLRF8a84L1mLtmQ8iiKQ0cKYFsP2larB+ESVhbE4DONrkTfGfM8Y88LAjfM/D5YfNMY8ZYw5bYz5C2PM9soOB4fbhGGoRQvAx6y17wZwFMCnjDGPAPhtAL9rrT0MYAXAZ2/bUTo4bINhfC0sgM2MdGbwzwL4GIB/NVj+GID/BOAP3mhbKfgoDyZOebXNGet1br3pDCnHWlsmX+nyby5Dy4PQW3WqFu2QGeryiHHRjM1UKEWRcwnLPqMzFVa7SJTSxDh8bu38UO+MuCJIXPeHHzf1sOw7VPjRcxbvi6waT97DdVINHo/OifdyjQbuH5Jixw6ZJ/FQmq6bCx1mOVRb0xRp794x3hNxGOplzxiTGrgMLQD4OoAzAKrW2s1v/xL6VrNRnw3cONdXhugqdnC4CQx1I1tre9baowD2AXg/gAfe+BOhzwZunOXJ+P40B4dbwQ1lLay1VWPMkwD+BYCKMSY9eCrvA3B5u8/7MGgGU7wyxM9mGGq0q0Br+LbHsNtkryPKl2T7WZ5OSh0rtfARd3BaTNCQrp0T2l2i67c11GtGQshITIEGefnjXovXFIToRMy0v2qHpbLU8NTD0TTL02yG7NfPyhwtwso0W9STbMOOLM/Bt9HPyb+vkzLuzjBzsi7Zn8uNSjCeym6Rt0ZgmKzFLmNMZTAuAPgkgOMAngTwM4PVnBunwx3FME/kGQCPGWNS6N/4X7bWfs0Y8wqAPzfG/BcAz6FvPevgcEcwTNbiRfSnW9i6/Cz6fHloGFhkB/ZYnx7jNFbfqEf7V6jxM4RaGFVBiozTLwi1CBUyYrpF4pCJzlqE5wpRvYMENrHPUjfOUFOqbrM75HuDFk5iCjOKODqhlCiUkQlNbSYS2Ay37+vdopuRa7HUpkaimeO5zXmcG6aSJ3W73GXRq9ZlBma5RUq31pGCUwxcidohEXA3skMiMFKtRdumca7V11p8QyyUHhIvhMfX3xX9YSmIKOPI1KQgUpfwqAWRGDPtUINmnANnStwr1dxb6Ic3LkbUMZ4YocyJhnotmqisElsaVmNssvSYrDZpqg+GFoFUCyLFFNV1WCM0TjIs6sypVlrXq6QT3m6ez/4Mu0Xy4rh6QejEszU2Hqvp9/4SJbzn1yVNFQP3RHZIBNyN7JAI3DHLrKUew9E/NOYi19/oMPSlymr1xMNuTTCc5hdFO1GWMH2VM6fFFRagYy0aNKJdLXWqMr9KLYBqKuK8LzQsh6y0Wlvsr5ROdGOErJpJiTP3Vk2JTtWmmg/RiBhdB2wC7eWi6U0mw31NijeFfsf3i4amh2ownslyfL3F9cdSPLbGEJkd90R2SATcjeyQCIyUWnjGD6am0m6AA1lqLS602VUwW2Q4Omko8dMmyLRMAK5zX5h1eZvXuTmkKyLuLR8dDbnRYS1kBq5eEZotiJN6CkLUJRvuTdBswzCZB5Vfqk2WSjpDDbe6vhRy7IRMsL4m87Ws8/i8HrefTvN4VjpibVYktVoWOqgz2u7NMDsBSf4c26CY8k2TcTo4vNXhbmSHRGDEc4gQPfkb0sbEwzl6Iby6wS4Sf4UhVOZXR7omegF12sxLmI5p0Az5PUjxQiWQoTd+NcnWjgppJg3rINRWSy61dqNoliPOQRTheUrsOltkQnOFbDUK31yuBQ6dnizOJky2iUnSDM1aeG2Oe0IzGj1e92XJWqRE96mWWZfaLHacF31uQTSjLefG6XC3wN3IDonAaLMWsIGnwb1ip7Q3xVD59bV3bLsdiV7o5aM1GEbCo1XLrJhpyDw13JaQa6Xw4Ul4j3XgFNfM0EymoanN5HjqIu/cqqfQfXRiGmtl9TjqE0cnwtRKMiFFUitvQ86/K7LUlDiiig5G5/6olbnfh2RumG/V2CmnvhZaTDlTo42ak3E63DVwN7JDIjBSapE13aDRVOnEFZlMey7PToIXVyIdBuBJlNYOEamxhLIHcRkJ9Xjw4/wedDtavChL9l6hDpzaZOqprDRmdtStfheahYihE75ShVCWJLpBNbaYotRFuJs/xuulDae+nGZngz+M7yMVURnn+c5UMD6UpfblbJuFrivNSjAupHhel2syFVwM3BPZIRFwN7JDIjDyDpHLgxBzURLhWm8viZvj0SmaVpwsskHVpqIT5J50iIQsrWLMsBUmlLVQ50wveqyhWLMTcROeayZEZZyh7W/5rFITlWWKjsIT58xQx4tANRV+yABcCjNKM1TGKQ6naZlPJF3jNnuzPLZ2j8vnu5Vg/LkJdgH9yRrphDqxTueog7kgTqw78m+Cr8UmBrZZzxljvjb42blxOrxlcCPU4vPoG7NswrlxOrxlMBS1MMbsA/ATAP4rgF81/eL9DbtxKt5XOBeMl3rMElzr8A31zAYlnaksw5rOwKnNp4pQ46cu1zlEtFAQszwECemhwoquo1kLpQohSadmM+TYtnSUeGPq7BnTCaLQAofQg5CLaIz8NFRMmaBtmZE5UVRroRkidRIby/A6XmiRPv5jkzRxb5pUsgOe13MbnCdGkfaiv2PFsE/k3wPw66Atxw4M6cbp4DAKDOP99pMAFqy1z263bsznA1vZDWcr63CbMAy1eBTATxljfhxAHsA4gN/HkG6c1tovAvgiANzzjrLd7AzpiHRzXDwu6pJp15lP/U6MdZPAhJwpmYXwdbJylXGa6L9jffv3xTdCiylxNlQhKaXIJ0MeFTFzi2ydcTU0P4hmamIojtIJlW6GGk6VfkD0GNp8K0WanugltCCizpztkHKVPxzOU0/TsWJnJut8beVoMN4lTp6nRWtRTscYowu2fSJba3/TWrvPWjsH4OcAfMta+/NwbpwObyHcSkHkC+i/+J1GnzM7N06HO4YbNfr+NoBvD8Y35caZ917Pk9d8huyMWG0uNYqvWxfYorXIR4dESPgOmVtLNqO3wrdnT221NNzH0QnNSEgSwca4gIamP9NmVbwBlPrETAwfnvtEBRDS/aHdJe0t3hmb0GyL0CCvKc6ccji9mKpBtc196Sy2On6ocD4Yz+Wpxzi2sTcYd8Xhc7G5/SyorkTtkAi4G9khERip1sLCoOn335SXfL6hazPigSxlnPWWJu/lTVoTBlpQKMj62nmhEPoRohNxVlr6UfWH0MKCbCfkaikh2l+pcr+Tlehj26IhCRVs1LUz5OwZnZ3x4qZDC03uLrRECzai34CYmGvWQhmiMiAvZo7aj5VYFC4KNzwmG7q3uBiMV7qkKM8sRRdKFO6J7JAIuBvZIREYKbVIGx+70v3OkFMtelY8mGMtRX0Odo8xQb66ylCj3QmhrhCZs8IWJCwv0ZJLEQrd6q6pmQcrGox09KTlmp0IFT6EZmgRJKSViJkD5HVoRRcFbDPGjyOGQihCRRPVjkgjqi/UoqtaCzUvzfF67crzO9MJ1pd8fn81y/VXhUJooWS5TWrU7jlfC4e7BO5GdkgE7phl1geLJ4PxZekk8KVE8OFdp4LxpSrlnaYuIVTCY3eMoT+3IOFUzbRVmxAzhVeINiiEBmgGI6SRiJvrQ7MOXkwRZ+tn1EJLulDiCiKhxlI5Z6UQipBcVbtcJBOSqklTbpfX3c8xO9FpcP1rTTbl7t/BYkcqJpux2uNxKp1YFS+Lg+Okhv8cuRX3RHZICNyN7JAIjJRaNP0MTjRnAAA7Uny7vdJho+GmpRYQrr17HkNTYyfH+esMm7mqyBvF9sloU6ZOhi7LQ2/t+jYfUyjZasodCZVVqnxUCy4a9rfOIaLm4HFziCjUOVQoR+g8hX546pWh0tCyOG2WSDm6omvRrEWuwCzE/WVKN9eFNqyDY5V6frx8LBh/c/3twVgdODPmzesQcXB4S8PdyA6JwIgLIj3szPQLIifbLIjsz/LtdodHvcCyuD+OF1iw2CiJrM8wBPlpoQRSHMGydEXEeT9IpsKX2VGNZguUKsTMlBonGQ1RCy24KB1QjQMAqOQyxo8jVlPhx1AiHYvfRWjWVXULzXL9kMYlZBvC8z+2OhOM315koastH7gvOx+Mv7ry3mC8J0tfi8u2EoxXu9vTOPdEdkgE3I3skAiMlFrUejk8vdafRPu95fPB8iXpHmh6DCMt6TItZyVsisl0qyJZizWG6VyW47SETbsRbb8UogFCJ+KKCWFTbaUTQjOUKnSH0FcsVcM/a2FG6Yv6Ueik6nZ7Q3OlDSGTcGl09XdVgnGnJNZYeSk+FUhd3rX7ajB+cIzjuQwluQviuFqWZuN3lEg/vrNyXzCeyXNKMi2UxME9kR0SAXcjOyQCI6UWGa8XOC6eadKR8YPlE8FYHRwnZYrTfIqhPzXGcafMbECnIC6XHSkCSAYjNM1XU7pI9E09pFkQfYHOJ6J0JdQAKtkJoRMhk3BtRNVMSDGctVBNRWi5Zifi5hNRHYnSo3x0BiCkzZBj8jP8bEe8zW2G11fn+DhTpx/Fu4uvBeOKx++y6nNfeh+oufdFceM8ucRtxmFY77fzANbR7xfuWmsfNsZMAfgLAHMAzgP4WWvtStw2HBxuJ26EWnzUWnvUWvvw4OffAPBNa+0RAN8c/OzgcEdwK9Ti0wA+Mhg/hr7fxRfecGdSEPGlWK8zZOYN37YfLp4NxtqMeKVCt8ilcWYYOmPc5voReUs+S11Hak26SIRahCiB1CGUThhtDo2RX2pWxIzzGEKZjU60B57Zms1QXYjQiZAFVlz3hx5rKtqiS2dd1ZliuxO8pm25pt2i0CBpzckLJXhonHRCzdy16LXZgAwAB3Jcru6rS00e274JZjBeQDSGfSJbAH9njHnWGPO5wbJpa+1mrmUewHT0Rx0cbj+GfSL/sLX2sjFmN4CvG2Ne1V9aa60xJlKeNbjxPwcAkzPbT/zn4HAzGOpGttZeHvy/YIx5HH2rrGvGmBlr7VVjzAyAhZjPBm6cex6cspdb/bfRe/NcXc29P1zi38izzblgrBmM+ybpf/CPZX62VWF4zNQY+vwMQ2tKGkI9MbTuXeM24+ywTMzsqCEfDNFUhNw0Q+YPsn3NlmzRU4R0IUoPtDslRgsS16kS9sQQuiO6i7ZkgjRr0ZWkSmV/NRhnPV4knQNGCx81n8dZFWP34zVKddfbfNBpAaza3KJBicAw/sglY0x5cwzgRwC8DOAJ9F04AefG6XCHMcwTeRrA44NcZBrA/7LW/o0x5mkAXzbGfBbAawB+9vYdpoPDG2PbG3nguvnuiOVLAD5+IzvzYQL9xPUu3+i1K0TpxBGR+50CZZ9NmQJrdh8bE6/KtFe5FQab1k6GtZQ4fHpVZjO8CimKXeesrFoQCRU+hE6oD4Z2XWjDqeor4iy5tlpm6fRhipB2QgsiUsgJHZMUgbTh1J/mbKRW6JdqKlqT0i1S5vG8Zzc1Emp15YHnrFqLb2yw++Nsg9mJsRQpRC7N7Q/jZaFwJWqHRMDdyA6JwEi1Fr41aAzaDNZ7DNnq4Hg4RzqxLjX5XWl2D/zIzleC8f+sPRKM7U5SlPZ1br9RF0lnjdvMyqyeXmieDfG+kMyBWlL5NWYkVHehiDXVVu2D0omtVCJmGrLYrhBdR49J5aCStdFZTZsz3GZrnM+3+jSvS3EXiz1LLa4/leXyolCFdT863Xp/kQ2qJ+osP1xaJb07PEVaYm10BkbhnsgOiYC7kR0SgZEbfTd6/WT7dIZUQX0OXm7sD8aH86QZ6oNxrLEvGH9u7jvB+L/1PhqMl3YxhKYbMgl5h8l+T3wXMhrWm1JkqLLOjzgvC8lOaOOqGomHCiVCBzzNItTCss1QJ4hSH+kK0e2GbL+UWqgzp7iUNmepcanNpGUsRZAKr8uhCq/FkTILWo+MnQnGSif+qXYkGOvcMUonal0ez2SR539hjTLOQmb7+RndE9khEXA3skMi4G5kh0RgpBy563tYbvW5m/q6pUV0opWeD4+x4URFJ4+WaEk732XK5pHp88H4r5aF/4kdaqopVauK2qdKOlA4ZUrnt1PjFumQDvnDxRm6qAY5TtCjmmhs7dSOFix5pfBneOBSeZxiFbU7wePulJn6a07xmJpH+B3M7uF3MJEjh53NRTcDqdb4J8epHv7KKo1YVmQuvo2O2NkKlBfX2s6gxeEugbuRHRKBkVKLnjVYa/VD+EabIeVAmWFqf57jpxuHuDxDcVDGMCWUlSl/dTrYRw8zJfQPXaaBqhKivY4IbmSylpwIaNLXRUCkdrNKFXR+u3FqnENtSNq2JO1TIWyp5IXSb7ItFTiF5vWTdiVf0npKJ9bv4fLaDLdf28fjG6swvTcnbvHvLFMotCctqbgsU3E96eX+Z/n+Vjq8vqpfXhYRVyUf3TXeS2//vHVPZIdEwN3IDonASKlFyliM5/phtSezv5fSfEteaPMNe94yhB6qMHxd7LA7dy5LLeyYiIweGr8QjM/MUP+6kGPor97P9bUdys8wg5GXsJZZlil8GzL/ns5vp67zmmkQs5VYPXF+yxu8/M7TtiTNmEiLUrfCMN2Wtq/6bq5Tl6pda4pZFW8X6c7cJOndbKEajA/nKPappEin/ql+L7cv2SXNYOS8aG31VIHXtCU686tVfk/jxRgqJnBPZIdEwN3IDonAHctabFIMIFwEObNBn68DJb4xP1s/GIxnswx9e1IUHx1Kc/1lEa+c3iGWGzv45v133v3BeDXFsNyqMKRX0gyVuZzQjDXpxm5K4UIS/KYlyyHQQodO7ZsLJ/6t/M7K73oloRlCfZq7uO/GjuhiR32WGYPcHob1D+w/F4w/WGHBKW94rNq6pHMjqvnK5Q7bp47X6F6v8+Zd3iBlfHBStMlVtqodmOJ3rJmNOLgnskMi4G5kh0RgWDfOCoA/BPAO9O2z/i2AE7gJN87N92RNii+2qYtQ3cWVhpiviHv9wRwzFdqdezDHzIYahezJMXmvWZHD0wyVp3yGtUaKYTDdlNA9yZA+dkUyClLcyS1zv75kEVLr0pIkj49eXvTEW7yaekX5eqQhuzHN42iXuLH2uJF1uLH2FDMGew/xnHVq3B+aoM+eIiMFp47lOev1fXz54WCs11qh/nD7y9Vg/MJ1am5KWWZ81tvRGow4DPtE/n0Af2OtfQB9a4DjcG6cDm8hDOM0NAHgQwC+BADW2ra1toq+G+djg9UeA/DTt+cQHRy2xzDU4iCARQB/bIx5N4BnAXweN+HGmfF8zJT6WYarNSa8V8XzKyfO9O+sXAnGV5ukGZfafDOeTDMxvztFXYTqMTSR/2PlF4PxH9sPBuOsvM2fLXL7a+OiEbjCkK6TxKQbDOO5KS73ZNpdT7vGO+IIL3MDGj/MLboFsXTNcb04CuGnRTY6x+syWSQNeMcUJ6t5dPxUMNZCxgM5rjOVYnbpYpff2Xc2HuD5SKuaaip0Gt6XF5nBODTJLIcnfKohbWiqu3hTvN/Qv9kfAvAH1tr3AKhhC42wfeFtrBunMeYZY8wzrWq0KMTB4VYxzI18CcAla+1Tg5//Ev0b+9rAhRPbuXFaax+21j6cq2z/l+XgcDMYxvtt3hhz0Rhzv7X2BPp+b68M/v0igN/CkG6czW46mNhk7zgLGZrwzuYZ4s/VqKnYW+Db8Ksb9IFTc5DzTWoqtLNXQ18okZ/nW/veXDUYa+ZkPs9wWpsitagu06DEq0qnSYthPyv+c1oRMdGyA9gtdmfCRtAZEwoh1wgTzAbs3c1z0ILTQ5MXg/GUUDGVYo6rBazleb7aICVQzGS4rzM1FrEqGaEE0gny8X0ssug0vxNynCtCITRrMUwX9bCVvX8P4E+NMVkAZwH8G/Sf5s6N0+EtgWGNvp8H8HDEr27IjdPB4XZhtDJOz0el0A8l19ZZmJguM9tQ70Q3Gr4kk6O8fycnXNHpXQ8VWCg50WT40kl1tFn1R8deDsaXe1y+V7Qc58YZNudbpBnnx0h7NmZ4zNeWhYrsFHd4yShYXzIVNZFxVsJecbZHapIfY+ZhaowaiR/adT4Y6zx1io+W6ZWn2gmd03BPmt/BmjTrqhRzWaZafmWD11dtfk81oufE06zTpt4GCGcIunK+PblGqehZPUJwJWqHRMDdyA6JwEiphTFAJtV/456RrIV2i6Q8Zhga3WjPhueX6f22r1QNxs+szgXjuSKT7tqgqnP65WR5T+b903D6tjyLMvqmrtao1zqkE/5uhkSlPaoV6cq+qi2xuU2Fm0/Vtf3dk5SfxukfPjTGiYSqfrT0UbtryilmGJ5YOxq5/k6hHC+uzwbjpnw3vqRk1HW+K9/r1TqvUb3Nz2bT4ksn9rG1hnji+ds/b90T2SERcDeyQyIwWltZC7S6/V1u/g8Aa2Ljms8wNJVzfFNPS1FDw5eGbJ2lvio1/+835oLxmGgHXmmzsKKopJgVWJOG1kPi39ABQ/o+6ZBQzYJX5DFfF52CHsO4x/Cu+wKADamI7M0wkzIlFrspuS4pyQHoWOe1U1ryXH2O5yMUpd4TuWoquvFzLMPvZtMGDQDSQ1DDiQK3qfqKdpfHkM3yO86kw5QrCu6J7JAIuBvZIREYrRtnL4Wl9X6Y21FmzX9GCiKLNYbB9RbDtE7be3yJ3RwQhyqlK88v8Q27Ncnl7y2fD8aPX38oGP9whZJGnQNQsxbaFaHuoPdlSDm0sFLxSFFmhRo0bSZyHd0mENZLXO7SwV2LOjvSpBl/W31nMP7ExLFgfLbN67XS5fVVCjGRFoojBZFztcNcv8v1VR8Tp4XQbJQvGQnNxmxIdiItFKKY5TYPjPPaPRu5J/dEdkgI3I3skAiMPGvRafd3qdVzpROaFNfugXNr7NrQzIaiLR0JmtlQT4Vn1+eCsUoOTzXY4HJ/kZPwnG5x+aJQjikJ6ZrB0MKKahkU2r1ySjInZS+cITgidOTFFicJuk+mNtYJZ8bT/Pzplkhd5Vi1aKQ2Vi+ukIrtKnB97eRRyaU2inaEKtSk2FGR7ES1we8gk5JOWoFmPBSLjbHI5Qr3RHZIBNyN7JAIjJRaZDM97N/d78qo1pn8L+eZDViR5Z7I+rQZ8cIy3+AbEsp02tfVVnRbldIMpS5acNFiinaLKBWp+9G+C6rTqPt8y9+XZTfKao/b1+bZshfuafzr2tuCsWZMnm8eCMZaEInDsTppw70lZn+0s2Myz+yJFjiUTmgWQjNEqqkYl+9Ss07TY6Qr1zZIFSZFkrom9EO1FuuuIOJwt8DdyA6JwEipRafn4dpq/81/rMAQ1JNMRVayDSmPof/KGt+eCzm+MWvIevU6E//37WAI1bfe6SKLL0onVKcxnec6F2ukMR+fZafFuRb3pZmKcw02wPoxs9ofzlMCqrqJ50QTAgCXWxXZFvexOQ0yEKY+XcnafF+mQo6bp8OL6bxQjYRmJDIiM1V9TKfD26hQYSFDuzzOLPC65HJcpyAZKCPHc3AX9SvaTRQH90R2SATcjeyQCIw2a5HqBQbO6lugb8N1CVm9HkPTrooUICTc6WfVK+PMMkPZ/TvFpTNFWrLYIuXQN++XlthYqTqCv1xgI/lERqSIEup1PpQV6RDR5V9bfFcwvqfIbMbFBmkMAFwRQ+x94mCp57DU4j6UWig92F3itctKEWReih2KlRozPo/MstH36XnSFS1elEU304vp5ijmecw5oRPLG6Q9OleI0oliLtyUG4VhTAzvN8Y8L//WjDG/YoyZMsZ83RhzavD/5HbbcnC4Xdj2RrbWnrDWHrXWHgXwXgB1AI/D2co6vIVwo9Ti4wDOWGtfM8Z8GsBHBssfA/BtAF94ow93fQ8Lg2R4UwoZ+raq8k59S76+UYpcf0G8Flry9qxhSkN0MbN9mNJsg3YwzPsMxYueNLGKg+iyYajU7Zz32fTpidLk+RU20r5tgtmMrZ/X8dVGNCXQsK5ZBR3vLLIAoVkLvS4NuY6XapVgrNqJUKZJvie9XqqbUerWbbFQpBmojvpayGebne1v0xt92fs5AH82GA9lK6tunN3VetQqDg63jKFv5IHv208B+N9bf/dGtrLqxpme2H52HgeHm8GNUIsfA/B9a+1m/LtmjJmx1l59I1vZrdikBdMTLDpoiCtLU+PZFUo3tWGxJGHwzDVmJ8olrqP+GKrf6BUYstZjkvpF0QvkpQlSpYjawaAopLlcQ2sly2h0ZpXHrGH5mUVmBYBwpuK5C/zdkRleatUtlOSYVCqpIVulrmNZnuf1OqmbQrMf16qSSZAsREqul9K7OKqnNKkjDadqnaZ6Gu0gisONUIvPgLQCAJ5A304WGNJW1sHhdmGoG9kYUwLwSQBflcW/BeCTxphTAD4x+NnB4Y7A9OntiHZmzCL6Uzdc327dhGEn7q5zvp3ne4+19nWWnyO9kQHAGPOMtTbKazmxuNvO+U6cr9NaOCQC7kZ2SATuxI38xTuwzzuNu+2cR36+I+fIDg63A45aOCQCI72RjTGfMsacMMacNsYkTi1njNlvjHnSGPOKMeaYMebzg+WJlrwaY1LGmOeMMV8b/HzQGPPU4Hv+i4G84bZiZDeyMSYF4L+jX+p+EMBnjDEPjmr/I0IXwK9Zax8E8AiAXxqcY9Ilr58HcFx+/m0Av2utPQxgBcBnb/cBjPKJ/H4Ap621Z621bQB/DuDTI9z/bYe19qq19vuD8Tr6X+4s+uf52GC1xwD89B05wNsAY8w+AD8B4A8HPxsAH0N/qmdgROc7yht5FsBF+fnSYFkiYYyZA/AeAE9hSMnrDyh+D8CvA9hUKe0AULXWbqqtRvI9u5e92wBjzBiArwD4FWvtmv7ujSSvP2gwxvwkgAVrbZxt8cgwyubTywBUp7hvsCxRMMZk0L+J/9RauymyuinJ6w8AHgXwU8aYHweQR992/fcBVIwx6cFTeSTf8yifyE8DODJ4o82i323yxAj3f9sx4IdfAnDcWvs78qtESl6ttb9prd1nrZ1D//v8lrX25wE8CeBnBquN5HxHdiMP/jp/GcDfov8S9GVr7bE3/tQPHB4F8AsAPiZd5z+Ou0/y+gUAv2qMOY0+Z/7S7d6hq+w5JALuZc8hEXA3skMi4G5kh0TA3cgOiYC7kR0SAXcjOyQC7kZ2SATcjeyQCPx/yjt4uBvZf/YAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cnt = 0\n",
    "for sem_img in test_loader:\n",
    "    plt.imshow(sem_img[0][0])\n",
    "    plt.show()\n",
    "    cnt+= 1\n",
    "    if cnt == 5:\n",
    "        break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "bulgarian-advocate",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b11dc656297040c2a2ea10021eafeb65",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/204 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "8ec7503277c5424c8068168887775aab",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/204 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ensembles = []\n",
    "for model_name in model_names:\n",
    "    probs = []\n",
    "    outer_model = timm.create_model(model_name, pretrained = False, in_chans=1, num_classes=4).to(device)\n",
    "    outer_model.load_state_dict(torch.load(\"./weight/outer_model_\"+model_name+\".pt\"))\n",
    "    for i, sem_img in tqdm(enumerate(test_loader), total=len(test_loader)):\n",
    "        outer_model.eval()\n",
    "        with torch.no_grad():\n",
    "            sem_img = sem_img.float().to(device)\n",
    "            preds = F.softmax(outer_model(sem_img))\n",
    "#             print(preds.shape)\n",
    "            probs.append(preds.cpu().detach().numpy())\n",
    "    pred_probs = np.concatenate(probs)\n",
    "#     print(pred_probs.shape)\n",
    "    ensembles.append(pred_probs)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "documentary-martin",
   "metadata": {},
   "outputs": [],
   "source": [
    "ensemble_prob = np.mean(ensembles, axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "common-designer",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(25988, 4)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ensemble_prob.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "floppy-plumbing",
   "metadata": {},
   "outputs": [],
   "source": [
    "cls = np.argmax(ensemble_prob, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "twenty-single",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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      "2\n",
      "0\n",
      "1\n",
      "3\n"
     ]
    }
   ],
   "source": [
    "for c in cls:\n",
    "    print(c)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "exciting-breathing",
   "metadata": {},
   "source": [
    "## Depth map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "concrete-montgomery",
   "metadata": {},
   "outputs": [],
   "source": [
    "class CustomDataset(Dataset):\n",
    "    def __init__(self, sem_path_list):\n",
    "        self.sem_path_list = sem_path_list\n",
    "\n",
    "        self.transform = albu.Compose([\n",
    "                    ToTensorV2(),\n",
    "                ])\n",
    "\n",
    "\n",
    "    def __getitem__(self, index):\n",
    "        transform = transforms.Pad((8,12,8,12))\n",
    "        \n",
    "        sem_path = self.sem_path_list[index]\n",
    "        sem_img = cv2.imread(sem_path, cv2.IMREAD_GRAYSCALE)\n",
    "        sem_img = sem_img / 255.\n",
    "        \n",
    "        transformed = self.transform(image = sem_img)\n",
    "        sem_img = transformed['image']\n",
    "        return transform(sem_img)\n",
    "\n",
    "        \n",
    "    def __len__(self):\n",
    "        return len(self.sem_path_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "utility-philippines",
   "metadata": {},
   "outputs": [],
   "source": [
    "test_dataset = CustomDataset(test_sem_path_list)\n",
    "test_loader = DataLoader(test_dataset, batch_size = CFG['BATCH_SIZE'], shuffle=False)\n",
    "model_names = ['Unet', 'Linknet']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "perceived-specialist",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([128, 1, 96, 64])\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([128, 1, 96, 64])\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([128, 1, 96, 64])\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([128, 1, 96, 64])\n"
     ]
    },
    {
     "data": {
      "image/png": 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6LZqcujYm4cTBBbTRH6wg4TPIpyqyiPwI8J8A72H32s+q6s+IyEPgLwI/BvwG8EdV9fHLW+piTS5jltF4r8uERmGvQQ5IcgB44Ueu/KEeV9yIlYyMEvBiCY9GJksnE4/IPkWBl4pc/NbbuOLRaDO2Y6YuXg8XjMlzO7QMkycl40un5IjRFNn7WYEFs14iyq5pZmXJN96FH4m46scDfDxdVgvrSQzqGDRVvLquUamfDczPdlm5D2q4cwl0l7Blk5MnxmRzla8yqaPNnBSgUmmL6wHzzdl+iVLUE/BvqerfFpEr4G+JyH8F/OvAL6rqvysiPw38NPCnX95Ss6iik0FqTpSr0M/sK4Q+GepaApJlIFc4wSV4aWSilWhIQ7ZuGxny9pp94kxxLEHbTbrge9N9+tRwE1f0KfD9/h5PxhW3Y8eTfsUweW53K2J0xEMwPi7Uyg4ZSzVI/kgub79lG24SH3VXiEs4pzinfGd9n4tm5CKMXDY9Kz/ybntL5ya+0zxg7QbeD094299W5l4jkQduwIvyvn/KQ3/Lo3jJ07TK/v+OUQdamRg08CReMCb7PUU/M+lUeNDsGdWxnTqG5GlzAilhWHNSqf4z2Gsqu/DLkKJW1e8C381/34jIr2AD1f8w8PvyYX8e+Bu8CkUGNJrVu/BjxZNL9UNBMyzdav5eUeI2W6Qxw1E+W2UniUannDYej4g4RenHjAFvU8t3hwfcxo7vHe5xmMz3HZPn0e6CJ083pNGhO49MQtg7JGZQxVnJkO+Pt1n1uWwolxaph9gpOLWSJQeHdUtoJ7puYtMNrMLE7aqj9ZH7zYbOTfSrhm1oWbmRjevZyMCVjLSSeJjZawdtuI5rWjdyzx0M/5bEkK3xQayCxSo/fFXCws8oPnPJmI7JU5gbJfW/pIQ2Ln5pLHIVEfkx4HcBvwS8l5Uc4HuY63HXa34K+CmAFesvvNBTsa3O1XSqFwUXuXIRL8qDsLMvNwVup844CJmeeeX3FsQRzVVIDTvtKmKBOsYcoZTU8U264CatuI5rbmPHdup4fFizHVv6yQjpu11HvA3I5AhbhyRwvdXRSa4llAhuPP5u1QkIJJ8VOdgx6qTWJcYUGINn6gJ929C0E1NydMF+r3J5ExjB/+D2jP7Ag+wbx5IsIdnnz0SnmNPZlghSVoys3MhF8bFlfp39v9it8k4YKr/F+CzLypSk7rjm8CXJZ1ZkEbkE/jPg31TVp7Jw3lVVRe6+7VT1Z4GfBbgnD1/orWmVFO7IjbgXDqzcyI93H/LAb/m7u9/C9/t77NPEbey4H/b8SPsxV26fg6bATjuu49qI7TISJeVaOcfTtGLUwHVc83jacBNXPBkv2E4tH2437A4tYx9IvUcOnubGIROEvUX3brTiTD+AG9WU+sRIle9ZA8QmK28Q1EFsQb2QdvZ4bANTlxi7xDgEQhM5XAbWjWG527ZjE3ru+z0Pwy3v+qdmdXNCYiUT7+bEjl1DlyHDllYmnCQufXNnpi8urnV5LRh/OanLbt2CUVcIRi+wcPx58pkUWUQaTIn/gqr+5fzw90Xkq6r6XRH5KvDBy1rkkahVIk/qaCjwUKpuRCkIHdVzyNm14CJBIpe+5zKjEo3EuSokR/6NTNkn9iRc3m4tCLqNKz4aL80S92u2U8u+bxmHQNoFZHD4vcMfBJnADeCK9Y2KG2eldlGfxVYFUsy1bQ5SyJZacyVzNEUmKZILbcc2EKPjJnSM0Ru8WDJvJBo3cZMuiK6vVNM2X6sK2eUgNzHhmAPEUkQL1EoUJGX23HH1x3wd7fVjfqwWpn4ZLLKY6f1zwK+o6r+/eOoXgD8B/Lv593/+UlZ4l0zC02FFaoSVH+kcBD9n5QC+M7wFkBlsPW83W35r9wErN1Zo7YBl4t73T7lqRm5Sw7enB5UoH9VSwrvU8c3DQ3716VfYjQ1PdhcMg2d82iGDo712NLeCG8D3pri+N6Vt9oqb1JR5MuKFLJn8i50tBSE1MvvKToiNWeTYmnLHTkgdxFYYDy0alJtd4KZJHN4KbDctV23P213LLrWs3cDG9Tz0t6xk5P1ww0M30avxPzYMPPS3tRrloA2NTLXCG6g3c1THvXDgwo+50tpqJvsUaFzkYbMluMSjYcPNFBii1URaS4Mffor69wJ/HPhvReTv5Mf+j5gC/yUR+ZPAbwJ/9KWs8FQ+YzXuuPDVCmpRoKpinRzmI1qQpxwW9MlijXepY5dank4dN33Hfmg4HBrS6JDe4QbB7wW/N4vrB3Mf/KC4CL5P2aXIiqwLRT4xVJIckooiC+oUSeZioMXXVqaSlGiE1EBqHJqEw6HhNnS11CtI4sm0JnkjPfk7Kj/AiFFeE1vpcJoTIsxWN2W6aOE6F2jwVIxaeuxHJBXky2CRVfX/w/NzMz/5YpfzGcQ7aBMPux0XfrSoGCs+ncRX/NOUNmYs1Kz107giOsf7/ilddi0Sjo/Tmo+Tbalv+1sO2vCPhve4jSt+ZftVPjxc8p3bezy6viT2Hvc04EahfSq4EdonSrPNlji7EuGQIEE4RGRMSFJT4KTPDeLVC+odKqDB5QBQwAn+wpniBiHsITbgD2bBx96TWmU6rPloteL63sDhofnNffLcCz2sMYqqOj6IVpJVYLpycx8y4anVWIPciKNXVzOVJemTVOq1L60T+hToCVadHs0QOFH0y4ZafFlEQmITeppce2YZJ4OKpuTAwRrjMaxdz9r1mWzT0qqlnNsSfSs1xbxxPe+7Q87ONTyJF3x4uOT7u0ueblfE4gvvBD8IYWeuRNhB2CfzfyezvP6QzAr3ETclSCl3+clf6ulvQJxDvYBzpFSokmKKLQGJDmmKz22dg1J2PdKYrfTgmVzDzbojJsdFWDMlz023snR8xnc3rrdsn8CKCZ8rYqLM0NmAtwgUatVIkdPqkPJYge3mNgTnFPVzRVOpiHY1k1d4yIUCiS9QkVUptJhbsXJjLUcquDEAznzifzS+yy51/Mbhba7HNd/bXvH4Zs2wbZGdxx+E5kbwAzS3FsQ1eyUcZvdBJsUfJiQp7jBVJYYTRZ7y9i1mde1OcOAifnSoCNo48I6wi2hIxNaZKxEUSc6CQoHUWtutmJS09dxer9m3kZgcm3bgYbsjIVzmqvArt+d9b8SkbW4oU4hPJTnUaGCboHOOt8KOXg3KHHNVd5DS+8LX5jYJC8SXjMNXIa+lIpNht5Tz/hd+pKuAvVizwCyW4crJDjfQECtnotTNFfk4XfKbwzvcxhXfPjzg6bAyJX7aIXtH2At+J7RPDUprdqbIYZ/wfUImxQ3RFPowISkhw2QKK3LMN0gJGfJN5H3GksWMVz5WnJBozSWZEiogoyeuPDjBDWrBIc4sswhgFnyShmnluQb2q4YP1peGGzcOgpGE3vWJQZWbqc2EpDZXk0zccwe2ao+3TNwPu9o9aYxGagrOqmzGaGnrPloyasiZPmTRe+SHzbX4MkqpEBlSmNtBLXgRwSXWvq8ReynTLwmPtRtrvdvMLUhEhCeZwvjxYcNN3zENHiaZg7qMB1tgl12JUXFjQsZkipwUiabQxGTWd+lCpMX/SYFoQZ5zptCQn3fIGK1TT1Zu5wR6MRckCZIcISgpGuZcjtMGSI6pDSjwpL/ICI8hEjfxgo+jKb6TxIYBfK6QKc1giJXHEcVYhZcZzSh+cqkeiSoV+nNBK/Q2JZ8bS/7wUYsvl4jgmsS9cGAfW/oUKp+i4MiNRB76W+75A2uZS5RW+edBNtgfR2G3uAS71PHdw30+7C/51qMH9PsGvQ34vaO5dWaJBwh7U+CwS7gxEXYRN0ZkjOZKLN2GlHKQlxU66bNf6pBf0zRI8PVzEhPE/D5NMB86JVNu50itR13CjY4UBEmBsQc3CJLEIDoNpJXne+srEkIjibUf+FDu8Q9z+da7fksjI/fpSQhbDexSZ2253L6SjFLupnQ/NDyeNnwwXGWedYNDedDuayMYJ8qjYc31sD7zkZ8rpYw/B2whUweB2s0Snm2SUvgTMStSr4GDBuMR54BvG1v2U8M0enRyyCT5h5zUyMFc/u1GzRbYfoCjQO4Z67u0znf1ZdZMeczHlOVrJsoXT0hdfrl3iDcushsVHyCNEEdzMdxo8N0wBm6Hlpuu43bq6MSSJQDv+m0tDytSOcYog9rvROYta6oEoVIksGyIU693+fsc7N0tApXdlcTRuYnLBUXTLroR3ltd9qdwGQ+1wsh/PL3Fo3hZqzp+4/AO37m9z23fEkcHo+D3jrAVmltonyp+UNqbiExK2E4ZQYjIZBZXvRjFfYrZAqdjC7z0lcvjfmGFl48vP/MU0ZTMd54c4gQdPXhBYkCDIzQOxOC75LMSe0FGODxa8UFvnJDbseO9C0tTv9Pc8PVwTUPiOtcVbmTgnvRWxoUFdjfpgog76lt36Xt6iWAJVEoHz1ILGdUaTOK+BHzk10GKUs//FyrhsYUpMpcqNTlz17KLHTfjiv3YMEwBja4mIdzSGucfqdm6ZA0r0icQCj4tiVO+5GXneD358lWppYkp2doA1CGhWOuEGwXXSiYd2drVCTI6Uu85DA23Q8c6DOxSW+sFrfLFdqcoo6Wb1RElGR3vREqfjUZidScKkSsuWmoFSWeL/DxRtYLPfWq5nVo2oa9cCZ+zS4Xh9fXwlHd9IqoyAqPCTWo4aMiVz4mPxiu+uXuLDw+X3Ow6xj7gngR8L7RPhGYLYWfuhB8UNyRTmmEySxwVOfWBl+6Dd8vFz387Pz9WFLe4FUWJl1ZalSOtSAqk7NIk/CHWZIuKMyUOdjNOt44YhX3Tce0TF2GsdYffmd6qgfBKRjYyspbIDtjmqpFtao961sHcSLE0fymtGcCSJKGw37we36QvQV5TRZ6bh5QCx5J+XjlrCLjORJn7LvK2WzMRuUkDB5RrxMD+LNup4+PDhuv9hTHZDoHmYChF2IPfK6EvzDVFpjT/nhaoRExIDvJ0+cU9b1sVMWtZkI273I78XpL5CpLMfZkvBBZQ4mx3EMEFIWTOs7ExxTjQAlPv6fuGfm1f/ZhCrTR5P1gLhE4iK4Ext90qlro0evE58Fv2x4hiN8qU/FwbSa6pdJ+yI70AeS0V2fIHysN2ywPd8VbY5epmz+rkWA94cfRp4qBKnwOXFuv3cFAbM7CfGg5jIO0D0jtT4gOEvdaEh6ETC5fiDt9XvZuDvPL46eKX/6aswN4/e0xWdPtNdi3k2fdMGC80KRINxXCD4gXCQYiquMHYczI4xj7w9NDx3f4+95s998Ou9nhGzPXaaarBXyNTribx2U+WI1fNeu+lWnwaVYgaaqEDkzt3rL9TshV4q9ly5Q5WeZy3PSO2PNtkOpHY5USK9TyzdrC7mJGKsaE/NLicvbO0s7kUYW9K3NxOkCy4I54oMcwuREqQm6Vo8M+1yJKRCPWuuhRHjy3fWzJ2fMd7iaoZ9JgsUTIm/GBknRQEiYLvASfEvRCD57bt+M72PvtVw9e7x9VdKC1lD/ijDOgDv60FBgeaZ0ZElJZaOGpiZB8bDlMevXDGkZ8VTZKzTIHoHI65+01JfpTi0Qj0OnLQefzBTWrZpo4PpyseT2sb9BJzU+oEJAuSJBqDTQrRR3VOMTsgWjZNTr8kseSGHec4CuaKZVKdlbUoe0zPQq6fFu1XaM9+JCriLUGj4nBR0QhuEtKUfw+OOHr2U0M3tTyZ1niUG39Ry782uWN+i1UCHLSBHOB5tSDPhgrN/O+k7qgTZ5Bkc0XOmb07JBefPp1WRs/MfdxWbmAlI2/7Las6GUkZFT6MfaFfkFT4jfFdHk2X/IPt+3z/cMWHuw2HoSENHhfFUIoBwoEjlKJqWVVMm92lEQv2wKyyak4XA8Hb3445kCvkoayE2njUOcsGTvl9snWtssSjl79FzEcWsdafavM7SB5JSmocKPiDzlY9OcbQcH21Iqrw7e4Bt421Ubj2a94NTyE3prnvLEni1IYAbemsAtvva5LkoIFd7Oo0qM5PeerTxAagTedg707JQHxJdpTexU3uCNTk5noAI0I6sZiHjFpsJ0t+9GOwBMjosiUWXDS4q9ba3bE1auFGcJebIfWYqsT1BlA0yYw/lGOSmELrIsqvr2EmqH8GKy0xoVGMuJQrVTRQ4USZhGnyDJP1xht8qJ06R7UupVaYajdwypROs8ha09h2/XNlTkmKLK6HF+VLV3z6pRARfJN42Gy59Ac6N/LA73g/PGHteq5kwgt8mBoOKdCINVnpJLLJYxlKJ6CPDxs+ut3w9OYCfdISto7u8XGlhxvVlHq6I8Bz5uaIFxQ3K+xSitV1zpRbDe3AG0S2VHR11u9CVW2IZD4HUCE2ZPanien4PDnoKxg3gO89khzdjRJ7RfPr/c6xv+mYJsf15sKUcEUe3jNVrvao9vM0rSzBJJErt+cmrXg8bTJVdjBeSyZulf4WY+6ESpRzsPeMiOC89UcrpU2Fd2xEejvsqCOQFCuRcsFq7sWWrXHqLcBzPbg+V3mknB7WrEQlS5fXUKVYyvy4Ft+4PFRe4xYwWn59hdEWVrda6joBNaMWxX0QmXeCk+26BH325kbzlKiIGJIBYjTTZO4TgyMGn2HMRTX6QqwtmCFCCYdjnpNS5g06STSUOsGZIlCSI1+Kmr0vo4goTW7y3eaC0Zu0YhSrCql9glED993EdWr5O/1DPpzu8au79/i43/Bou+aw4Bn7Xiy4i5m3MCh+SDM5HrLSqilwVlpDrdLsIrB4bprdElFMEYOb/dUiSY39JoYrSx6XUNAR8YubJGW3pvxf0uFgZUX5vWWytUt0xJWi3ghF/mD1gW5nhUnXewMtv3txHyeJ39qO1TCUH3haOcuDeq7cgR9treXWTVrV7qPFEh8VpJ5x5LtFZK70Lb7aNnVEcVzlhIgxtcxnvhLlQ/X8+vAVPhju8d39fa4PFxz2LboP+IPD9VIrnpeVHm5MuJwAWZLjNZnSqjeYS5ftdBZKKipoQQOzf6shK3lBLYrf6zJu7ARNhpAImcOR319SQjQZ6b6cY+LY1Qg+Uz8NKlRVJIVqid1gFFTfG+6971u8M7ba2g2MzaM6vGdV+lq4gYjwvehJ2lgDGNfzcbzko+mKQ2rqYJ7SVL2OYxDOwd6pqBO8t5G4pdCxVHq0EjnkYlJrwGLNB78fHR/Ge3w0XnE9rbk+XHDbt6TRVajNZ7/YDeBHjN02LBIbcOxGQA6qFs89T7L1rhY4WTBXdlw5cgfIig3KIiDM51bnrEV9QT0SpiR6nBWUaO2N1DlwdlPqkG/OaAGt5N8pCVO0VrAf+w3fm+7zwO+4cnta2dWPVgLo08lVMJOI8HA9rpliW9lx52DvOeLdzJNNOZLeOAs0il/8wB1oSHyY1jyKl3xzeJvv9/f4uF/zaLumPzTowSOj9aIIW/ONm70FeH6f8IPxKFTMuplfan4scDdHImFbaVFWJ4BZYfOR78r6FcqmQSR2vjs+eL4hkmRse1jMy17yOWKuEfQeaTwkxffRfl8IcTRaaqGnxsmqPp4MFyR1derT15rHPHQHWrEGiWW4ZO1zUZeVE1Rhi89jL0oJmkNfNoQMvKaKXO90TTkASbXhSjGQY77wpZ/wTVxxM3WW/JgcKTcT9NWlyD85yKtU2gy9HRmV8j3elX4+JYqdci7yNqtLclD++7nJFXgWOz49phCW7nqdKkRrhugKm6/8RIwjMXn6yfpTmCJan+cbbWg1HVnhlYyMZJhOpQ6WB3LTl7kgdVQ33/gvUV5LRS5SlLmVyEYmokieRe34OG2s1D9ech3XfDBeVa7xsDdr3D51hNtSDW2l/IU4L6UbUNIZtYCZ/8DJjqmae7VlX7bAbrm8vx628BcNoi2ZwlmZqwikYLhyYdlB9p3jHdv1KffDiTHzsBIsVfCHZC60d0wXdkONtw2HyfG0mVDgZlyx61oeTZf8fb5Km1GhAr1duQMfxw3X+Rqvs/9csntgQd42ttyMHQxnrsWdIpmqaQC9ZgdjvlAFLho1sE0dt3HFduo4TMG4xpODKMbdzZZJUklJZ7+3WmI9VpCFqNzh/glH+ZHjFzzb00J0RqeEuzkJc+Ilyyn1eWmNlxY7qe0Q+byab0qXdx63SI7oZH2b42Luh6EULYmJpkasz0qZ4TIyt9dakopehbx+iixC8JYiLRdt43paSRzU1+7zN2nFoIF/dPgK39y9xXe293n8ZEMcPLLzhlL04A+Wvg0Hg9vCblENnWaqZrWUTnnmO1pk7ZbBoYolAgRmn3eRJdRlxs8BU6ZpFmsKc0IluHxundPYz5NloWtBWFLKWb0cA4yKTPlG7oXkHKqCd9YY/dIfbIRD7pO3yYmSOi8FXznMhYDlUscokV6NWpvy/D7Cy1fq10+RsWCvWXSUr7V4OQkyLqYoPRo2fHzY8PTQMfUeBocfBJe/RInFMuWIfki1/k5i3s7VlNEUk2dxUZkRiGIZT10MdEEwKsq+8J/N6tpz4gyxWIqKWFmTliK+Atlp5Vgcv0Bn3zmvWxw12KwJn2QWmQk0f4gmV36UtmKlpUIjsXYpLe2zUFdnEQ6yHBZv0FurUw5Sz/DbMxKT1eOVUn+A69RyyMNotqnj0XTJbex4PFzwdOg4DA1MDhkd4dbVDkG+N5pmky1xkaMAL2fTSoq5bu1h4f+6xXbO3dyMmTkns4VfQm6FZRd1poGWGyKmysCrrQDq+51gf6Vqu76/KZyqUns0T4rvc41hsseGPvA0rPj4YsNHqyuu/CGjQbNbYVk9w+9tFIXjJl7U5z3Ga+5TmDtAKWcf+RlRJSazvPc4sJGRgwau00Xd9g7a8Hha83Ra8WS4YJvbvzIJMljpUnUpeiX0ibA99gFlUYdXlbi4DyUhIYukBsxkn3RsdZdoxJ3QWnY/aqUI2E3llq/H1lNcEY+x7jjJ8tlC6rUipiNozhI+uRJ8gBS04smx9+xdy5NhxfW4PqpAL9IsGtqUAt8yybVzY+aGWxfOsRDrz6jFHSJC41P12SAHdxo4pJabeMEutexjy5CsBP6wb5n2Ab9z1Td2g+ZmK4ZUHFnQZbJh+VjhSGSf1qznHRTFE5ehSnEbTuvx8sAanCyYoqXnmym+5TuW8McdgWhd94n1KxTQE6TDXAxzs3RSYrQTxZRna2fosvHmxm1kqG7cU1xFiAqds881fGWeyKuU11KRV2Hibbet3YEKOnEd13x/vGdjyzJmfLNfMT7pcDtH+9hZz7ad4gZodgnfK65PR0origVUKZ1k5LJF9Eu3QGsnoCMLvQzW7vpO5dnMnjqp1vPUiMkJKb/U6h01RpyitQ0oFSdLiYt0d0ZWpGQ1ewBhjIImGKLNBezcxC51VYkfuMF6XQgcplDpnmDGpM+FqhFHcDFzLuT5KM4LlE9KrL42MpemT3U7nJK3n9xkxY05JTvZj6VqtXIrijUrDVV0wTQ7kmUS43myfOpzfomfSBb7pHOeWubnvYXOfJKyvpoESoImqWPIYL62EWFQh5fi8cx3flqQhBwGjdqwoQXX4iXL62eRVZlysLcWay27YaD1T1jJyEfTPQCG5HkyrBgODX5nDQjDbk5D+0HxB0Mp3JiRisW2rJ1H8Ue+cm61M5N1iltdrKtb+L+Z9FNuhEIGWn6OmWORYbJSFlVuqE8QWVaapFTdh1q9fRflFJAx4gXr6FkQxdwDQwYhDZ5+DNVtKMMojV3oWcmOK+eMZSiJmIRdaonqWPu+uh6dm2zEBBj89pJRi9fSIivHxBWfObGOeeLQkLtEWpXEEmZjhtemuQF3UeJSn6d3WePlGhZ+blHiGYm4G7V4xpLrJxybnzs+J3db5TuU/nk3gihzDeLpOjIcZyCDnadMii0tAZZyVCUiqX4PjZtq85Yz1+J5IlILJGvgoR2P4iUfT5f8xuEdnowXfLxf82R3YelRJeOlmt2KJW5cumfqHCypJQ2A4226VnJkK+sXfmtSw4HLc8+4JNQATaIe+dN3QXFLa16PyRzjUvJUm8JUf3xx/LL3Bcyk+wLBTQk/WPm/pNI3w94jJceQmxNexzVRHQ/czlpnaWBMkV0O7O75Axv3fSLCLnU2BjgFdtFmmJy5Fp8g3s0tspIaMeg6rnkUNzwZL3gyrNj1LcPgrcymBDbZKpvizlDUUWFn5RwvoLdFCdPSKtZWzEvrV/4Os3W298sKlV0VyckMfcZCH2PZs+VnPmc9vrz5AgU5IRVJTHkGidqblJspX48U5zUu33bKyEWfmkXiKeWZ3K6yDFcycuX3jBr4tgYGCbn9lp997TOO/HzxqCVAMm5cZEy+uhUpZprmYAw3n8uY3KTVpSjuxFF1811SFDFxXCu32KafcTGyLN/zCEZbwnGnBvwOi17fp9QINv5T13xnQ5e8JnMxljfS/LcNTHfcxNVRBrX8lPZaYEUNI3O7rCIXfuTS9/hVPKaZvgT5PAMjPfDLwLdV9Q+JyI8DPwe8Dfwt4I+r6vBylnksNj1IDXJL6yPfbcqtnKbJkUabuuR6K+0Ph3k0QnElihIfMdzsA8/KtMSTXeY6LC00VEuo7pOUWMyCVysNmnSG847OPR9TqqJLVyINuUgVEKfWpTMViI5nPsfzUJZCjirj0JafNeRY4zZ2tU2W1Ufa4w2RVmKdzz3m2YRLufIH3gk3tN34yYjLC5DPc5v8KeBXFv//e8CfVdV/CngM/MkXubBPkjpWVuaZ0YMGxtwHTsvPwjdTBylA8hxf1NO/T2G3ApzecaU+S01lRS3utLrMSMdJsuNOWbLaTp+6KxFydLJFgifp0c20DIYlCjFaqVJSqTO7bcLT3GWzJXHlLIW9cgOrPLA+qY0xKy7fk7hmmtwnQoIvQj6TIovIN4D/OfAf5f8F+P3Az+dD/jzwv3gJ63uuzGPIbBO4jSsbBp7HxqZoVE3RWYnHCyF21ket+Lrzb6l1cFrBUgvIUuOPUtGLRTzDN74bbZiV1TjL5cc9s/VLVrIjZGHBhrvr5nlmN4E5cF0el3eeUixQzlOznL31g57GwHZsGZK3+SzOiPQHbRhyi4C1m/iaH/ia3/Guv+GB2xGz71z6Y1yPa359/w7jrv1yKDLwHwD/NvM9/TZwraol8f4t4Ot3vVBEfkpEfllEfnmkv+uQzy1ldsWy//GdUuGtvJa74KzPgm+WQ+6oDJHTgOvodc9a4c8ldxKP7jjsi2zbaanM1OoYFDSB5mtcyPIxTz+Fha98cl6bK2KsOBuFkT79O3pB8llG+P4h4ANV/Vsi8vs+7wle+FB1VfrJSEJbbWu5TelvEdzxuIWKWIzZRy4jE+IxlnoKd9UvWhQZ093p54I5eyFVQpG9T53SVNoH5LUDdcZ0USRdoiL5udmqz/Dec7sMOVByhyKdEyrV2p/AeNX/nnJiqLfzyJR3sOg4TIHt2HE9GrPtOq4BeNvtuJ/diJukbPPAeSMP2VSod8ItXTvyeNrw0XhZG5G/TPmsI3z/ZRH5g8AKuAf8DPBAREK2yt8Avv3ylnksio3YjSeFkKWh3nKOheQXLP3AI87Cc+R0sKMwZ/QKm+3IOgrHLsVdOPLRohbrWLbHUn32vZiDvmUJ09G5nH52llkuq6pMuKhWw5hvICPNmZ885ELSkhBxoqwEDgpD7kKUcg/lYrk7N3LP7emdQXfyCkYvfKrdV9U/o6rfUNUfA/4Y8F+r6r8G/HXgj+TD/gSvaqi6c1y1PT8SnvAVf5NL1mPlIk9q5TqqYl9s7QIE6s36qZ+DubvQCkSssWDjKd00l77pnYFV0fscvMkS1qP4p6miD5XyeTpuofrHWi022epXbvKUYEpW8r9s45WrpwsdtJ6/0DmTvUb6WH3lZ4K+CZgcUy57qtyJzLlIKozMl7XJk58eeGthtvY9T+IFvzm8w5N4QeOyIr9k+UEcmD8N/B9E5Ncwn/nPvZglfYo44bLpedcrVzladpIYs+WYsiXRUv2w8JHVsdhuyUD9SeIDKA1WUibOHwVYC65xfa4oZn6tVWQ8q+wlgLOkiB6nwYsSl5ukzq2es3zVtcmjHizFnjN9Ndv3CYFfmT5VlB2O3BhLktjNv5wDAuS6yFROXykCpZvTRuaZhrvY8cFwxS62ZpE/x9f7ReVzJURU9W8AfyP//evA73nxS/oUScohNjxJ1pqpdOJcuZG1H1gHGyTpm0hqPcn72Sc8xVidWd7aIBDqly56UvApmSuc6ZRLt2Jp4Y9L8k/WfmLZ5zc4+f+OAPTObqC5c6csBvHUjvnxxC893doX53ARdNK5acvkGMfA2JVC0vncBw00Or/3qI6n2tVA0Ily5Q9z5vWVqPHrmNlTZTu2fJyrEprcTvbSH4gIm9AzqWO1GomTR0OYv8S8fda3CoKKJRdcbjtVCzvLl1WCsODs2LsUqvitefTB3Jjl5JhnhyPZKU6SJp94jC6sv7d2XFJ6v4lYBi2mu3tcPLOm/PBkgaEbzbWQQRj6wKFtOJWDNpCoyZFDDvZK0N3KxMNwi8NGmj2eNnd/6Bcsr58iY+nTlRhxOyI0RAsuFhUKKRlZpaRgqyUUnh/knWKvy2QGpwq3hPX02bdUPhV6O70plkp8VBpVJM2PCXA0Em3JFVmiI3dJZfpRcfaKrZ/ImOvvdqmjlcg9Z9XVJbva5NHIBSkqjQ4P2lYr/Srk9VNkEa6aA+/7yMcxcaMN93KGyUnib6cf5XbsGAaPDm5Ow5KDvRydS1LzNctgm+xvymgD0FMbjlPHxe+FyqdQZp/WRSvk1OCOoLUiFZJT6rZfboQUXPXZK520vNafKLMIhNxmtnT6XP5k5OOTlNgIU8bD1iDExsb9cnKaqMLT3EbrW+Ehu9DxI83HvONHEuYrW8X1jWXyXGDA8/f7r/HBeK9iz3qnP/Vi5fVTZJdbMuV/C+B+OpxFk7NK4+VjIugSmvuswbTc4SYs/paCWSXmlPOLDtSfl34+3UXu2m1O8OejAPM572tvawPTS7p6ToiYRObkyPIzl/T0q5TXT5GTcjOs+H50XOdmLCOeQ7IWT0ESKz8ibo7Kpf6cEsp17nuc+w/XHsRLBOPEoDyXNF8QkUJCwioxijWXhUUHahKldOaUpNaB0833wV2lVmW2X+UjLxMgcIxc1ERLhhGDM0jRlb4b1nlUHRbs5T4XcXSMozU3TEHo3MQ60wEOi48/qKujfz+c7rFNHR9NV+xjQ3DHE2lfprx+iqzKkDzbTOEsSnyTRwPYkPWTiH0BMT3z2KlPXMzNcqteFn4+b1lyonSn/jQwt5MtMMr8fD3/aYZxITUpolobx3yipb7zTTLPo5xCC+y2uOETkNvNFtSh1ETGRV2IdbqdRyE/TRd5HLL5x04V79Ln2Pq+uLyWirwfGx7FS1Yy8sDtuEHZpvbosBASY5PmJIibX19pnGJoxGmTwuW5gNlnLVTN8lgJvhbNC48wZag7giVk8jGnFr5mGu+w9qXhS/Hp9WStjto/ZcaGFzdhOS5b7zq+wWckpl4X5ptdAAfO2ZCbINaPeuVGdqnjw9zlabXoR91KZCUDOHinueV+sJZmKXfnfNnyWipyPwY+jpd8PTzmyg2MGvIMap19Zp9wTUK91mxbEUkzzqpuse2f8oBPzntaRVIUS1v/TLBWz6VqSJ7wTD+30+qRKrVb0Xzuo1HBz6MunPrLUJX5aBDlJEjjKxPv+D3yDiHWhjbkAUKr0jJLG67TmpWMRNcvum9ORuVM0AbjkpWB9WeL/Bwp3ThtCIuVql/HNTdxVZlxWvop3BX75HRvrRBRKD3dasVEURjRuW/8M0kFMsTHIhPH3cfWk+ux5SOvceF2lPKp4jc/I6Vz/ie5FsvzLdeTtLpPoicVInlNc6Mie85J6f02ceX2bGTASaIlccAxqGdkHqZzyP2Vy1DPz0Tc/gHl9VNkESRzkVti7sLZ8MF4j9upqz6dKkc48lKpU5MzVn204YolyRCxagsWOG7ECDmLbfpIWUvb1vGkZUBwC3KRBXFm7sBNmU3X+GeVVagB35LcdNRatq53wakokm+IehFOrl35bFpeV14rHLs8qSixNVVfuZGN63nXb3noJsZ8n8cktUKkKPxtvM+jaVOx5XRW5LvFO62E+uGEAXfKEYBl4uJ4l/vcO96plV3CWOXv0wqUTxJdWPtPO/USK67NVU5gt4VP/4wy34F+8BniMIfiUIbckszm7h17N6WBS23SIidU2lcgr58ii7BpB971NyR1PEkdowY6mTi4hiEFDrEhJUtV1cmltacFdVITcGzplrJIA9davKU/DXPSYVnWv/CVj/zl2gRRF9OY8pedg0VZWtdnek/oDOuldGyNy1pjghjB+2eV3ecql8qlJjPxSo+5uy610nrL4n00XuWK6onR37B2I5syNcvtK/w2aMCjvBW2eXxD++wbvwR5LRu0OFHa7CMXblXjJnweCGk+cj54aYWLci3+/zxy1ID7rucEPktVyJzyfo5FXCrx0gIv/eJTl+J5SZHP+RlPpSAOy/G+Vs7k5msvkYa5PYNbNGt5VfL6WeQsEaElsXKRrdtz3+9J6tiEgSHaxyrFp5rr71IwwF+DBYPCIppf+rMlcSCnLooe+a11jofm1pwuW1xZkIZk0cc430R3oRSlD+cRVpyYkx5p4V4UuQtmc8+u+1ROe3Usm37PP1aEejt2tG7iyh94GG5ZuaEakEPO9L3t9ozSs9OOrViTliiOMVrxwznY+xQpA9RXbmQlA51rCZKscR5Uy6syY8nlutpUpeMs2JEyuwXhJWcET21bUWQVrdk7wDJzbgZotWY+jl//bMaQYxciJz7uVODT30tl/iRFPkpVLz/z4vfiNGO0ZpCds2mos+V1jGh2LSIHte5PURxRBPTVqtZrqchBUgXjb1LLdVzzJG54Mq3Zxyb7yHKsOLqwPDBH6TVNrMc9IUryQ7i7uYgIGorFn33cozKqcrPoon4u6eIG4DhruAzm7lLe2kgmPQvLnR5bP5erpU1kpEPE2sfWauryMic1gYQ3HBkse3ebG7VsXM+GvroPANvkGDMMd9A8mgFX3RE95YG/BHn9FFlsYMtKoilxWmdFvuA2duymhj4GIw1pUaS888eSZTPyUE0IVAXXZ63cklusHDVYqYT6fEOonrjHxScv/+aBkXMA5mbcGGYlX7oWSySiZOdKBq/U+JX1npy78pMXSRF1bhErHG8z6iF5rIt9SDiniChJhZu4wkniKyFUolDxn3caKn1zVG89RnJNZZ/CuffbnaLKuOBaDDkAKXe/MePKl5t/ycK9EKqr8EygVdK9z0BVJ/8us4QnGPGyI2eVnDV8duLps373/BpOfOtFgPdJyru0xsvHT4/R0jJrVublwEx7G1PWkN23tRsy30JoMOZbROpPK5Eko9E3n1dF8JLktVTk3djwYdxkC2AKvYstUzJF9i5lPkTxG02Jk89fVvGN75Li21YWG7PG1y6cGSrLLoKw6K6Zt3E3nkTsMYGaBU9N5iwXXvJdfnosBIoCl81FpeU6sLTM5bHcZb9a6+VoiPJY4W1MCVkMdnej4g9iU57y3bryIxd+5J1ww8NwS0OsXepdVuSDNrmX8p619EQch2g0Tk/6VBTnRchrCb+VtkxAHZtVx2llKyKQM3KLFxYXoAR79mbH9XeyGK9bXlb+XBSE3iWnFSSfKEW3jiz3JyATS1n6y3c9n05uoueluUsMsIQN3elLnXEt3FgH11tH+jxGOR9Ti1FzEFIG3kcWnNSXKK+fRSbjyBLZSF/5rru2pZvWbKeOKTm61UicHOr9kVapFI6wDRpfduIEjuaDLLNi9TiZg8gjws0ikWHPubmCpJ57gTXrglFXu+WnGdIrN9M4HbskS6XN/q69xwnvN8bj3aX8eI82AW0DcRVIrSN5IXmYVsJ0AalTyizBQwz0yfPA7/iKv7GGhhmtMJKWVK5FzD0ugPq9DGcf+flSLkuhEq7E/LfRe4KzbkPOJZxX9HTPyRbouMSfih8fb9PUL/SZ/wthveDEp4mS6ip/xi9xiVbUdZ34xEviz1JSmm+y08e9P1H+GUOufe7KNfGQgrlhpRfFPERyOqrVW05tKgMkbTjOsWWOnzgU5cXJa6nIQ/Q8TasKAXmxcWVJhbebrZFcmok+RMZGSS2kEWJT/N5cY+eE1HrzZ8doyjyleXtd3gS5Vq5IdU/ElPW05dZdqeb6fdZZfCmniuOc/Ch+cEUu0rEiljQ0zH518ZXdYt7e0hqX3yIz/NaURBBmkYPk1l2gTaLrJlbtSBcsDT1qYMCxYarWuFyeYZHxiypHk1E7N72SBi2vnyLrPDByVG/gO2R+rHDpLdhofcT7xBCU1Khl8wLolCG5KXMenLNh49bObGbBLd0GVeqYsufVuN2BRBxl6QprTqS2u6o9mmvyI80Q29IHPuJTxMrQO1VoXP46T7N7GcPWgidPEYlhZvhl2G3ZrLFpJtoQCRIJLs5NDGWiOXF6l6jRksDlck/lZ0YevwR5/RRZhDZEHrgdGxlYSQR3yJZ5Xds62aFaEYuCWjhvSpoawfeax+UeX+gjF+OuJZTDdc7a3d3vYsatS2B1pNx3BWqnUix0VnCtir2w1AuXQwuR1fuKg1clLils7xYY+BzwqQf19p4xWtux1sdskQ0n3qrdPC4He06Ut/0tB2343nS/QqBFgktni3yniLBuRr7ib+nE+MgriWxkOiKpOFH7fkVzn+OswEGJnYXnvi9jyY4tajlPleehFFGfgeYWC6j4MTrDczKlz1btUc5bLHBR3uV6jph1pZ1WPLHGbnYrihIvik/tg1Bx9pQ1Yhw9aSW1P/Kgnm1uijPKaPEJFvi967dsNfDBdMWogYbZl1658ZU0MXwtFblxkbWbx/cuZ1fMUJxlpfBK8hzV7mlW7GXgJ7nqom63y+CpWK1Ty31aJnQqpWvmgtB+JEuqZUlSFH93USFtx6RnFfhoMfMdocuM4imUJ2LEf8Eym47jvnfUj1yTS0sLW64vUOv1VhnJsI+cMuSW8ndzJg3dLU540O35mvc8ShM3yR/N3Lv0hzo/2YkibSJdJIPigpCiuRWiFuRIHptrwZlad0tMx2tX+RMeReFIlG71s7swL3PuFMScRVwOn1weV7jF4wTjtFDYNLsSMR0pq704a9+U+60XdyIpOk210BQnSCyfRdA2WF+8piAX1KynuUKK91aN3vnpqKS/jPL9OHV8GK9Yyci7fstpq8KIq40lz1yL50hSIaJHLYLHPEZ22QLVu4SIzj7g4vc8v0Ow6C//PjpR1pXTL+GzTvG8iy+80MVnugTdhVQsXYrl+33SGjRBcuZyqDJjgXf48W5xPSjXharIQSKNs8E3/gStKFKu/fy/dbl/VQ0M4XVU5Jj4YHfFrwwtK5noMgvuOl2wTV2GfEYum57btuOpy3pwZC1PMmrFvQgLdPSkfcCywrqKWqmSLJsGliYp8URpoj7LLZ7isyhFfl8tVraW+B+7DsTsOoFZ4sWaapBXZFFwWoaxS3J2HQq/QkEbSK3iLibuXxx4uNryVrPjrbDlob/lnjvgRBkRrmTkKjyiV8/HaZ0rpjv61PBo2nAbO9Zu4J3mFt+c+O0vQV6/FHXmWnycNgw4vCzy/czts4JLND7OX/aniZNqjY6uytJ/PX2r4lKkQsDJj5/SMovPGhdKvLC8lUNxasGLOxHj7NaU1xW3Y7H+T7tuUKDBvPZTn98p6s0aXzQjK2/dhdau9D6ejCikQiuJK5dyR06bdRixVHWfAtupI2Ld69052LtDMmrxrr/hSkbWouAG4IabtOKD6R6HTOoOLtG0E9M6EEchtVKbGkrKW6oXJIlZqaqISx83B0JFIRcpalmY+U/sfAnZCqbjx5/Bi5NZ4oXiknRW3lPXIMbKC5EKtbnj5osnrymfR71YerqRGZ4MoI1tV1aypFx6axC5nLE34nJq2npUr2QEBzf59/2wp5FI56a5ieHZRz4REVZh5IEbWIuyEjEM2dnEqKRivRQwrLMJkeFiIvaO5B3Ol+CMiq/WllbLbb+0BXDOsOKaxua4rVYCgvtki5iyq7HIwFEGQKaFNY7RArdq0dOsxDFaBs8JcmrdtLQL8LU9ASn3cytp6lPJWHoKMzRpFtkI9aX2buN6Nq6npVhfG82bFvTNMgG1NGi59Ac6N1oVyZlr8XwpGKXNPVd6hZvUsEtdpRi2bqLxuSxndFYtnGG4FKyiujK/PkFqcsSpfSGnzlgJljJpfq7jm4O7ZyxxwZGL5c0WWZe+tqYjMv3SjdAT6/aJH+GUOFRZb5KTRTIP0rTLiQh0fuLCj7WRepchtlEdW23xWNbOmG+Wkj7k76A0ZinZvpRevgf72iqyA0aEXXJsNXCTVtwk6+XrJdkc5KY3N7b3Bj8FJQXrBSwJ/GHGiZeisrB6udnKUfLjROrgR8W6x0NVeONPZGV1Yn2YC8SWg72a8EixKnBV1lNW2ymGvNwJlsN1NDG3FFp8TsnNY3LlizrMMrdgQ3wE7xMPuj0Pmj1Xbs+VO7CSRCOw1bb23VvXXdBYb7vUcRNXeZyvtZbdTh1pdGfX4i6xrc3EcTzo2368pU9LAtlrzvfLMfxWpARyIout+fic5n483/bV+rfSzmqZ7JgXPj+2dCuOP9zi70zsOQ0Ei5y6MynfbHe4OcWHV+dma1x2pAJLOlBvhQltbq9QeBSV5Yp1E3KkykMuE08LlpwQxuTzWDP35XEtROQBNr73d2De5f8K+FXgLwI/BvwG8EdV9fHLWOSR6FzqZBTOhJfRqqnTyDZ0NDHS5sxf10z4i4k4lkqIxec6QRtUQIOvkf1RvRzzMTPExgJ1kGy1zQ2RMR4jFCXpUdyH4k4UF2OZcCmPwcxse04ypO4c+b2sssRDG+aECJiLETwEh7aO1LjMP5G5Vm+VkPXE1arnXuhxonwcL4kI7/otMPHA9Wxk5Kl23KQVowaeRvtdUtK3Y8dt7NjHlu3UwiTPJVu9KPmszsvPAP+Fqv424Hdiw9V/GvhFVf0J4Bfz/69EShOWU3GSFsC9tQVofMS5ZD7uXT5xgdCK3GE8nttIZfn8EjfOFvm5CY9l6vloLaeVHc9R4ufJKSR3hxT6qV2LY8usQXFBc1bUzmmd6kO93q6S6gvfuPCQ5yqRiGNaBIVfigoREbkP/E+Afx1AVQdgEJE/DPy+fNifx8aW/emXschT6afAU+3YRpusuUsdT7N12KaWqI4LP/Kg2bMKU+2VnLpsGAOLweY5dVtS01PKimkWtbob9uGP4LcjaO20+rm4DcUSl+RHmi2wFpw4IxVLmE0rRTOhywCwiCiCN2QCW6d4f+wn3yXFNw5CbCF2EFcwrRXZTGw2By7CyJSbr5RhN2B99gpaYRyLEZ97KB9Sw0fjFbvUMiVHkMgoX65hOD8OfAj8xyLyO4G/Bfwp4D1V/W4+5nvAe3e9WER+CvgpgBXrH3jBqAHyZUaFl8Q2dVzHdSV0RxwrNzJ6T+OilbV7JQU1GueCOGScZOa+bspMeE8JkszNVhJA8beZyUCFQ7FEKBZ+cIXZFqR5U9qMWpxixUXh4W4l/iSRT+40ZF2QMnqTS5xSY0hOaCfW3UDrYiViNTLNTQqzEhfrbLNDzF/GWWp6Hy0x8iqaey/lsyhyAP454N9Q1V8SkZ/hxI1QVZXnpNBe+FB1bE7yQRt85smmrLhFRg3c93scyjoMlXMh0axppXM2grSGSMiYzKpN9pvgZlbB0l8GmLKSVQU/tcjz33NNoFYl1ZOMXXUHyvOqx4p7h38sn2J5j/1jgWAjicsulIIhFbETYqekTmm90jhzycrMkK+EG9auZy1T7n2ce1fga0b1Om6qYQkuETDXY3KevTSfCnG+CPksivwt4Fuq+kv5/5/HFPn7IvJVVf2uiHwV+OBlLfJUYpIcTdv/XtLRrLeoI9GL1Zn5yeZYMHMKUgBpMBhOQaLDDe6o8Yk2eVuc0nFlsy6w4kxCny3y4pgCwz1Dx5wtsZaKkCJFyfkES1yU+DTY+xRR50yRM/SWghA7IXXGr0hdIoSYEQtT5Ct/4F1/U4NqMNrsVttaCXJILR9OVxVyKzRPL4k+BRrXvpIKkU8N9lT1e8A3ReSfzg/9JPD3gF/AhqnDqxyqrkpKjm2ygSsls/R+eMLbbpurRsY6sT64aMhFE+0La02RU8j+ce42pGGmZZbzHClf+b10UzN3oirxggdR/16iFCU7l04t7sLdgM/uRtSFLCzv8rFMpMf7mra21LS5FEt+No7aSqH8FKUtzQq9YI0js89cys3qiDKYAzyozV2+LBYZ4N8A/oKItMCvA/9L7Cb4SyLyJ4HfBP7oy1nisUiyGSKP4mUls1y5Pb+jUXrt+U4cuEkt31THQQOdi7y12tOPgceXHRoc4cYjCrExCM21whQ9fkhIdOYr959giYsVTTqntosrMS2gtAW0ZgocZyWubDkH4zhjxZ+kxLKwO5mqWYO9WnSarXWuAtGurVUh6oTYOqaVM2vcGOymwfx+72zwTeNizdp9b7rPPXfggfuYBuhy0UKJS0YNtftQiU+czoT8zk2IvxvbfpHymRRZVf8O8LvveOonX+hqPqOIzBagBCVeBFctgYH2HruQKz/Shog0CZ2sCDWFjF444xiQCUS1tg6ea4mB4+RGYZad+sNLS6vpSImr9V3cFEU+d4DnXPaJF8pcflfLnCdPLQLdcg3wgFeCN8bghR+5ynyJIoO6xWCyvOSTDT2pMCWXR5J9tqW/KHntMnvqrPj0vt9W92HUwE3a20yLjJXd8we8KKNar4tJPY8v1ozAtPZGVxwEUFwUfC8GILTO+MclQ7fAh2sPi7tomsXfXXCMgTmwy8qsy3L+krlbVH/oaWFpERF7XHLVdw72pKTTva9uhLjZIpdC09R4tHXEzhFbYboQxkslroDNRLMaub868KDd843uMb/j4ps1W+pRHqUVQG3QMmLNCq3IwYj1u9Syz62ynChTyk0M45cks/dlE+esqd4hzRzYUZURKjRkDUVc5dOu/EgIkSl4UqNIkuorF39RcqbLstnzxT/tWQE83xKfknyW1R3p2AqfJi80nSjv6fkWyry4GDN2LNkyF9942WFowa2o1rgBbRTXJEJIlSh05Q9cuQNgKemYDYb9r/iTaaYlVT0l66UcvVsouMyf/yXKa6nIRVqxEpxt6viH0+XRcw0x85QN3wySWLW2Ve6uAto5fG/z8dwIfnC4SQnYditTQBqPGyYYiwVlDuJ0QYhfKPERAegTXIklf2KZ/HiuFMza++wD5wTIwqWQEtg1AW1C7cWhzhE7T+wcw8YxXOXWWI2S2sRFN7JZDazDwIW3jvQp84zvu56EcJPaufNmHYzj6VNTiUJO7GZIauT6pELnJ0Mtvgw+8pdVSqeh0lPBo1y5fa3Zq+PIMkn8oplQFQ4XE8l54srZ3OVOSI1ZvBTF6jc7b2PE4nIy6jLwS8doRQnsivIuMeJTGudSND2rwHe5FZCTHQsl9v4YfivW2DlowmyNMyqT2owdr6joDUHpmokuWCzR5CaFEeMjX7lEAkadGHC186btgkbT3KW2Wt6QrXUZwB4kvuziEDvPyz/Fi5d+bHg0XVaurBdLl67cwD13oJGYObPKld/zdrMF4LAJ3DQrxujpQ2DaekgOPwjTQXADSBScgzRlKxfMJ7VGgxGLBIXnfjun/u0pw22BFR+nn/Pv5/XXKPjxXeKLgru5ujsPT0+rQArZN87+cQqQOkUvIq6QhLoDD9sdbzdbVm6snYVucjf6D+IlB20qXu9R1m4wQ+KabJ3DSRGqY0refOSza3EskpRh8Hw0Xdl8ZJm48nsrxyHy0B+spVOCLS0P/A5aWPue4BI308q2yr7j+7uWSQU32o8/WOCnE7jRtmSJHhQcEeu3bJbbiPT5/yy6dDNOZRHY6SnH+HkWePlQhdXuqBA5DfBKFq/xTJuG1DjGtctZPLJVVpqrgdXFwDsXt9xvD3y1fcJ7zRPWridl6/soGV78zfFtRvW8G264cnsamXjgt+ykIyLsYsetdPTJ1XazQwrGfhvdM5/nRctrp8iQd1Bs7vSBQJMaonMkcRzUE3P/3o0M7EpXHLEgZkqOzk+MweNXE3EU4oUwDqacbjAD50bBDxYMSnSUymV87hN32onoM/QkvpOZ9lkgtlNYLV+EglYsAzzrXeFrP47UWF1ebE2J7ccyeV0TWTUT99sD95t97khv12ol41HnppUb8bnpyk5tctM2dRy0qeN6k0pV4lctr6UihxBZ+57buOIQVxDgSg+Q4DvTfVYy8rVww5Uoo+6s1VPOODcSuV6tWfmR7b2Wbdty6DriOhBurW7JD2RUo1RQOMJB8Fk5xUeD2ZaydA0c1ghxgWwsg7viIuhpV/q75DQlvfSN28Ye994Cu7axQG8VSBeB2DimtbkTwz0L8Ia3lOnhSFhP3N/seWu15yfWH/BOc8MDv2Xjet52W+67nl49T7XDo7wfrhnVhtlfxw23cVWDvBLYQTYwi+5P7tM4sC9IXktFLrLs0RtVrNk01ni6SPGjAaIzjsaFH+lTYNMOxttoA1PjstXKnNrW3IY0WVlU8oIrHYmKBSyVy59kVHOV8xeSpRIXl6JY4gK3+cU6ZE67p+wnpyDEXMqUct8Kaay6fBUm1mFg7XtWObXfEPMI3twDebF0R7LrnKkBKTPhCtR29L3kXbP8/bLltVTkGB19amxAi+/xKE/ips6C86Jcp5Zdjr4f+F0dF/A0mSXZBBuxtbto+U33kEdxQxLoo+BG0CC4XmhuldArrQc3ZRhJdW5EmNLMB44xzy7JLoimuQXsHSLe12DvzkBuqcDLvsc5+SHBrDMhW+QuoF1D6qwT/XTh6K+EuBL6B8Y5TpcT3cXI/c2e33r1MQ+aHQ/8jk1O928kB3DZVdjIwIHAx9OD3L/CRvKuZKLJY3qfTBdELPkBKRcHW7lU5ydo0hl+u0tSMqvQ5UlDBc90mnLaNBqhJSvvSkZaEl2Ghq78gYTQt8bF+KAZ8SGhXSRdGPY6raT6ysaYmwnp6he4raopV7LfNlOPbKk/Pcg5UmA5OX6pxAVHXvavqLuCy+lntygWyImPNgd3nZJWCddFmiaybkYeNDvuhUNlqy0bFI46N7sBC/i2qZtdCLErnSRzjxe+vlXnJJxahvTcVvYuUSWOno9GS4CUmcdr11cyyyAeh2X/PJE27/27PBrg3fCUK78HoHMTD1c7tpcNh6Fhr0IaHNMkpAHQPBhSHRIDfkgEEetyn7DaPDeZhZysNZSNLMNIRTGiMebkRUmGLJT3pJ/bESKRre+R8oYwJz6KJV61aHDEi4bUeaaNp7/nbSbI2oI8bRQNyupi5P17N3xjc81PXHyfK3/g/XBtboXEWv3h0YwbB27SBd8ZH3AbV9z3ezo3skstu9gd+cj247hNgTQ5K2qwmW0vUSFMXktFTqPnyXhR089dngMHGPFbvOGdajV8TqwfwyHXlj30t4x4DqnBobzdbbm56Nj6RIyOqQnEwaybG0sViDCOQgrGxVCXe76Vsn8nuUkK1nzFOchDKS1iTLVRyrIBTIVdkx67EPlvCWEm/0h2J8pjBZ1oA9p4Us7eTReOcW0uxbQyzDg15u5cdAPvXdzwoxeP+LH2I9au50FulH7Q486mSR3bXEb2wXCPbexoOrPau9jxeFovjpXauHAfG4ZksciFH79wiPB55PVTZIAciPQp8CRecLnodgNzQeQ2Uck/ll7N22XO+l15a8q3W5nf93i4AGA/NNxMQuw8Vupk7oWbDMlwE7jRqj+cE3vXnqrEgO3rMULTGspxWg3i/exfq851gUWBixXOyY4a1IVgMFvIqWjviRcN2jqmtWe6sDT0eCXEFYz3lNQq3B9puomHa+tXcekPrF1/dN1KFciojjFn71ImBDViYxh20VLTZa5h5R7nndFhN8AQPQ61avazRb5brBIpsk8t/dAQG8dV7hRZZJtavOSBkq6hIVarXXzBd3nK297xwG/50W7DR+MVf795j9ux41vNAw5j4EY2pDaYb+wEfwDU4UdF1ONaZ66GCAwYLOcyS64UhGrurjnlUWOnxB844mSINxeiWuCa7Mj+cFbitDaXYrxnSY/hnmO8EMZ7wuGhMdvi2yO+i7z71g33uwM/evmYd9sb3gtPeNtZOdiYiVcPXWTtPI9i5JF6G/yYp8uWPm7Xed73EjECg9nuhT0u9407xCYz4CyhdM7s3SWiR8B7KVl3uY2TX+BhxgkINBJp82T7sn0u6/ysHZTnQbPHi/KoGVEVtl0kTY44eHwDqCUV1AmhM3OfWqOUOTA0o1SBOK18DHEOddlPLhbKZTOs+bEy6NJnl6LQM0UsW1erPaxsKbUebVzlUcTGyPKxLUGe4pqID5GLZmTT9NwLex6GLRs3VGUsnedHYNTEuOBRHJJ1OV37vpYvuYXaFMzYxvk6G6cu1g01uAVic0Yt7hCZtzKwPgqPpg0rN/Je8+QIOwbzm9e+535u8VSCvgfS26AXt2dUs8yNRB5PG/oYuG4umKJj10aG0DK4gBvMX3UDiDp8L8TO4YZA2EdCbq8lw2T8jH7IvvRsnWsWsHaYP4HoMulH3YxYaBdy8WhW4sZlXrUwbhyxEcYrYVqbOzHdj9BF1puBi3bkvfUN77RbfuLi+/y27rusXU+bmxJex3XG4G/YyMR16rhJFzxNKz6Ol3gSv6X9qC7vA2BSz5g8Y3Lcjh0hdydKzuaOWHFDmtlvL1leT0VWcuMPlymHZkEatTFapUyn0BEj1pusWvH8y6E0mV/rckr7ntszes8mDEzqWHcDUYVpsGAKhdSUpAmgUhNXMTnc4BGXcMlZb+ZoAFbBmo0lV1hp2e9NmVSzqOjQ4I+OKdyJFBza5NRzaz771BkRKLbZGjdAk3BNog0TbZhy4DVYRbTrWWWEovjBYL7tmLnHZXZen5pKpl9CdEtykL3Wgr3SD6NMfDoPjHyeqKK956N+Uwd+g/lou9TyKG7wi6qOYp0bmbhOFtSVLyGJ9ZAb8hcI8MDvaCTyz1x+m9u4YuVHHq02fD9c8dgr8RDos2VWsXR22FlDxNBZq1Y3KmHvkUlxrUdimqc5LT9KwYZLSVQuSSoZOsQqO3AWeKbWMnWFOzFuzJUY7guxMUsc1wndRNb393TNxLubLZum5+ura95rnubkkLJLDY90TSMTvyU8tlL/nAQp7tg2dTyaNgDsUlt3wK+0NzyaNvRDoJHEOth3sJ3ao8+3x0qfGNzZR75TkrCbWpzk9k2iJJ1ImYXlJdVy9ZUb6ZzUlqflyyic24hkK+RmPJrE++EJW3fgSXeBF6WPgcMY6EUZe0tATDkDaBbH7K6LDvVqrQd8AgISbaSwuhmuW4rmvhkaMv0SaqPB1HorGl3NFjhmRZ7WpsjjxiC26SrCRaS5GFl3IxfNyFV7YB0G7ocd9/3WYEmUA8LTtMrFuztWIjxKkV2uBCl849JwxaqlE/eDkYtuxEqfSoFpQthObeV+O1GG6DnEJvcTOSvysYhAF3lvdWO9eqMptAt2ofoUjtCLFQb0JxxPc92ZX7C6Dnme9ZUbiSqsJDLKQMJclK93j1n7oVYXP+1XfOiUafSMriX2RvfUILX9lBuELrPm3KRWqT0mg+z0mL8wfy7jc2hwR10yraO8ZRrnYM64E+MVxFaZrqzSw12NtKuJq/WBr2xuWfmRt7stF37kvt9zzx9qgFtbXqE8SZ6bXJe3TR2P4iXXcU2fmrrjlWu2Sy271OaeFZExQ3AxKzBAEEtTh5BY+cnGBb9kdv1rqcjNauKrqyd893Cfp1NTG1KDKXJK80W9H+Y+DNdxXf3kgmysZGTltzxwEDURSfQKo+5qmfsDv7PWA6Hn0bCm8ZHt0PKxXhIPdgnV2wgwN0qpsMJFIxyhVkrlxzwHezrW5BRkVmQ/j0IooyHUkUuTpPrAqYPhXrKM3eWEaxKbywNXq563Vnu+vr6mcxP3ginvA7/lyu0rclO60QNc50GQH8Z7tcz/Nq6IajWPQMWLn0wXmVNh1R9RhJhsilNpARCcjWlwojQunrkWz5OUXL2YqzDi0Fq9W5IenQzZYgSesLYMlt/Vjp2OlBtYjzQkDmrjzg6LsVorGXk7TzOKuUoY4HDRcBE6DmPg0DSMcWWYb56Q5Pqs0BPV+vreqraLRRatGes6B9pYa8x96RwZvy6KXLjEBq2lywkJSrceaJrIvVzp8aC1pMfaDXy1vWYlAw/cLg/SzKQeVQ452VE6BxXWYMrd52G2xGXO9KieSX2F7nx275Io28kaGLYIKb+uTx6ms4/8rKgSB8f1uMaJchV6kgofDpcV7gkSWXtLX9/EFY+HNV9pn/K15jFtJo43MvGu33MlykFhm1zl34INRlyhvO93dAJrZ8Pa3wm3vNPcsostD9o9T8cVv9m9xfZmZUqrgh486j0uD3AHczf8QK1kFrWi1+pm5Ex2rXJucnKwNeJNXJn7wEWk2wx0IbHuBhofud8daF3krW7Hxg88aHZ8tb3mbX/L/7D7DiuJbHPpfh1bAVWJvzm8zaiBK29DbEodHpARCqnE+SEFxuSPqJ6b0NOnwIfTJX0MXOhI6yaGFBiiR3p39pHvFBUmddkXszy0z4TuMXn74muK1azrmAK71JGyj2gN+AY80zNTO4Hc02FuQdIS2bh+LsxEuWqsZP5y1TOONr1IFSZRpo2bFVXBhQzbFf83P7b0l0vrqhTM4qrk2jqv6CpBk2hWE1070TUT91cHGhd50O7p/MT9Zs+l77kfdjYywe9ZSaTJ54u5V3EZ6VYgttJSYVgEekWWZf02K8SuvVMhiWH5Xba+ZeRvkSCRVBrgvGR5/RQ547D72LDxA40zHLhjYlTHPjb0yRPEhhYashHZpZZf69+jkcilN+rih27Pyo2875/wnreMXkySq7HHOqfkkKyi+F3/lNF7HqSWQ7Ct90lzQXCR6/XaGpLEwGEKPL23IkbH0DekKOaZKmh0MGakI4HoTMxXb9YXpxAU8Yn2YsT7xLobacNEk+cHXjUHfuLqQ1ZurJ/nob9l4wau3J6v+FtDDtQxKOySzcJrZKLBekqX9LMn5RkgLbe6ok/Nop+FP1LmfWzYTXPVdOtj3RVXfiRIpPWRIInOGX7999ZfMzz8Jcrrp8hZjprl5Syfz01CgOpDd27Cix1/E1fVT5wHgzc8cDtgX62wvadBuockFWMudWuFiHTlzSJPraPJ6dvd1ND5xsg3ybENkWnydXDlNHmm0dtcjWQWnDxjQ7wpr1GNE84nNhc9bYhctgOdn6rVu98eeKe5seYz2VUygnzPlTsYCoNU8k9pA+tw1TpbJ3r7bE6S9arI05iW13lZ/TElf8R0c0kXHGVLTZfvwxq+DBmGfLny+imyCHhlEwb6aFW6rbN+ZctxDFOOpCf1hEzl9BzjuLvU0tPwsbusxZaFi3vI7krBmFcSuZKREcd1WrGSkY3rGdRz09n44I/GK7433GNSz9NxZb3Q1DElxyE29NH8VM3c3TET7xtnc7PL412YuGoOeRZ0qlhtcJF74VCxXEvHT7VEv8BpMHeXL41VPNaPbVRfJ5VaR9NQR4rdxNVR/V0J7OLiugYXWeXfnZsRkKLgU3LmHiXh6Wg7ZOr9Odi7S8RbXn87tbbN+eOKX7AKB4/atu6surd1k1Ut1GM8I8aUe5pWtBKtVCr723M9mrDGmpX0mjjISEukcfvM473hoA2b3JVnVM/G23ZbiDOPhg1PxhUurwOsXD6pcBV6Oj/Rx2C1hKHn/e4pYDyRpJJ3EuWd5ob3g/FJVrmvROnPtrwGKVvjMm3JlHwet2stYedZeIfUsI8N+9RWizqpp4/HKuJF8bm11sb31vQ7BVLecZI6SgJzEsdQUIuXLK+lImu0O32IgTF629KSbWnBRXzuy1ssxT7OWLMT5Tau8lAXK/F5EjeMGli5sXYqKtattEv1fstKh7mCIidSXD5mwPPAb/nxLhfC5iCqlMqv3MgmXNQG2kDNPhYp/ujaD7wTbu4cX/DAb3nb31bF9aQ6I3opJWu5HBvmUXbasc0W2II8V9dRbrJynaaUEx4LN66uNXm2dMTsNxcXJbjIITYGw/nIOgznKuo7xWABDrFhSJ4heSQqQTzBJS5krFuxk8SQArupxefHAG4ng9gugzV1eTRt+IhLOjEla2Ri5eb2UQV7Ltk/n4H/tUS8wJgSrUbe9Te875/OLW8RvpeTDPfjBbvQceX3vBvsGJeDrOu45qAZB1fHpmDepIyUKAPmKq1dz6ZUheebqqyj9B0f1KDE4kZEte3eM/c1LlJ8XaDGDWs/0MnETlr2qa0st0LEsnV6+ty0cMhxSXDmBk2jYze2wMBlOFdRP19kDiw6P9H6WLujl2zSmEHZ4pfG3FgPmOGkwpTLVjeJLL4ol5+fQD0H13CTStJF8KokmQs7LJCiKrlHQR0N1mixBGIrZyX3JdHgMX5Ho6ZEPvd2Lj77Jt+YThMjPt8AemQhR4Skc6nSmBMX5eYAG5EQkeyquBrw9vnYMuAxYskQ57Q+ftcouKTuTksNhmSojrQ+Mqm7OyX/guX1U+Q8kLF1E6FJlt6FqsAX3lKqT8eNWewYmNRxiImn0+oZQn5UZxZH/Tz/IvuS9oVnZZg4gq9WbuQBQy7tkTow0blYLbITrUjHlTtwJeNR0qVsx8VVWOWZz8sRYFfOMIOblOhLqb3oAnlwVYELpFbdoXxTQOB74/1KmvLZrdo48+Nvp65aXoDJeSbn2Kf2GUZbKtm/RQxRFH1KVlF9rznQdJF9bDhMjaEy54TI86UkQ4BqdacFdFTy/iRyCU7GzShJgTI3ztWgxwLA0mHS1e12JWP2JQMItX1UusPc1FG2C0tmszfs3K0aF7gYs+LvOlFaSUYrrTMVlp/XLH3UuTmK+cHhqCypjGkblVpgUAI7l9fsNFU/eSnFyhZrPBXfVz47hObE0JaasBLOpKFnJHMVpuRrMDQkzy5bjuthTZDIu6tbLvxYU6pLKVZ5So6dGpOrT4EpeW5jt+jv69iEns5NdM7gtohYsCSB63Rgk4lFs8LYTbHNjUyWgVQjkHJwVmiSdUpScjzwO2Pf4bhOF/n9DjSSaEisJHJQG19c5KAN3xnfyruFca8PyRqplLnRCXMlOjfy0XjF02lVGXFgscKFjtzGjiEFC1Zz9/nb0ZJKl02PQ5myS1GgweXNluoN7JjUYpKLboT2TBq6WxajYUux45QxWVVhclYNYm1PE46mpq+TuloREnGgKft7jj5nBhNSYafiMy+TBCWRYNY7HaV0x+qnhuoe2ADy+ZhGEqijVAxGdYw5mDPEYybwmLU1JKa4LMcJCyvZv0kr6zLvqJUdTtKRxS11idupq7tNqfqw4fSpojCTOiZ1xORI+Rqfoiin/y8/Y8zK3rnpy9OgRUT+98D/GnPb/1tsqtNXgZ8D3samof7xPN735Ur2kQs/2GF3/v3mwKiuWubbqaWP4ZmLDXmAjlBho02woszS9impsPEznORJfDRe8XdTQ+dGa1UrRnu8zj5zIfMftKl4NJARiRUjno/T3BkU5hYFKzeyympd6gnv5dEHYMr6sV5YmX0O4rwkGmKutXO14fkhll7F5tsvB9qkxe6QEJ5OluksnOOi9KUdbEnOgO1eE66mnwtVc3nNS1bP/GafqZzpywG/icjXgf8d8NtVdS8ifwn4Y8AfBP6sqv6ciPzfgT8J/IcvdbV1UdC4WH2wktOfkuORbBiTVSbsVGhdPMKWi8QFk+te2HM/7HMVxHFwUxCOp9OKD4dLHjR7rlYHHKnCWFfuwMb1ta3USkYe+luAmjnbZc7vlbPOPuW9wQhJhXW21ZaWyDor4C5Z8HaTVnXcwaC+3izLyUp9PnZMgV6DWdcc9C2TJU5SdR8mF2tFR/GP+xisnJ9nkzetj5Yqz5j9GB1D4Se7weC3T0A0XpZ8VtciABciMgJr4LvA7wf+1fz8nwf+z7wKRc6jwvoYGDP7akiBfWxz2te23fLlFHFkkjccQUoujwHe5ai9QFDLlgIAF37kXjiwdkMdlFgtmAZu0qrydUfneRQvcaQjN6Aw8gostk2dldpLT5uLQQEL1jL/ohxTXJUymGbUwNN0URGTAq31GurnCC5Znzv1xNTULkBT8nVML8y8lGKxOz8d8VhKwAcwRD8ThDCrvMoWvRgWt3BDJs28kpcsn6rIqvptEfm/Av8Y2AP/b8yVuFbVUnP/LeDrL22VpxKFQ/VhrQnIpAb9rMNwZEksZeppclo7qbDXxhIbmRTep8DjcZ393hn4NytuFuttv+Vr7WMGDVY9kS0fzD5r8Td3KXMQSNVilmGKh9SwlY5RA9dxTcRxz+2rv1peV1yVm3RR1+pJOZBr2KWWx+MGJ8r9sKsMv9vY1Wxm56da2vRkuqiPm5JHNqFnSsbtTkhVxDbvcAW1cBnGTFgiimjX/cKPBBe53xyqBTbfeO4dvY+NVY3/sLkWIvIW8IeBHweugf8U+AOf9QQi8lPATwGsWH/K0T+4pOz/TukYhktIjchjYW/laxvypM8+K31CKt82+JhpjpK7UbpaLdFrOEozL7fSQ2rqdg3FRbEM200yCG1pmcssFKBmE5fnKnO3ixL3eTQbmhhTIMlMuUzMFvF26o7W4WTmZEzJPQO/FSm71mlCZOkH72Mz91HO4nMLgAJ1vqoO9p/FtfifAv+9qn4IICJ/Gfi9wAMRCdkqfwP49l0vVtWfBX4W4J48fKGfqqREgcrpHbKlruVKfmTlzLqUcqjiK++mhkk9F37krWbH43HNR8PG4KUc0GyCWZ6buOLJZJCYda00hGNSz4UbrJI4Y9CNi9U3LYpesode0qJMyNbxRM0iFoppOcfyd1HeXbTiT0+aU+6xq+vpU8CLVW0MKfDdw30ArpoDnZtoXKw0zNvY1Wu5VMbShHCZ7AC7CS4zwelm7Pj+7h5dmHjQ7o4UtuyQrcNm8n1JUtT/GPgXRGSNuRY/Cfwy8NeBP4IhF3+CVzVUHWqKunBz70ImTqVAdDYKoDzmKmwHd8FJc9PDPvvhThLOZ8gvJw1ad2zZnNpk0KK8sMRYF930SwuvzHc4UvTMjSiYQ+EJF7ZZyMUEMLs2FZVYQGk18NLi4sgc2Okxvr783OW6HCky8zUHmNThMwfjedb3tEfcy5LP4iP/koj8PPC3gQn4bzAL+/8Cfk5E/i/5sT/3MhdaRQSC+cJlW7NkRkYAvClH+QKSzj0wVt4sUvGfDzl9vY8NH42XJBUetrtqvZdzMUb1XI8XtVWqy/4zjjrxs3NjtZJwzG6LWaEsxZwYk+dJDtZKs+1ynJPI2g0kdXw0XTImbyVMfs+YjB+cu6wBM2vuwg9sCu86yyYMOfjzTLrK5yiuldTUflG48nhBIsrnDxndSBnnbl3k7dW23vxJHUP5DtzExaLL56uQzzpU/d8B/p2Th38d+D0vfEWfQcQpnZu34dJdfWmhiwUcsgVb+bFCduYGuEVkbcrc5EAnSKxuSJHC8lo2eDEyzzz8JTzH3yxSfFovVFcgqePS93iXqmUuQWOvjl20zOOl7yu9MumcpIC5XZXLSaDy2SNW14gzn3datEkopH9rG3Yykpdjl2K5A5ZrUXgk9l6z9U4qtM7ijnJTvAp5PTN7heG2KLspUiJmJ3aBWzcz46zSwbGPpXWWHFmUEatsiIUMg+QsmBw1frmZVtlKH1Mbh5zm7txIEwyFuIkrpuQILtWK5F2GCksios9uQykr2on5wQXOA2pV89NpxZNxRVs+J/ONdDOt2NLVnWFKOTu3CPTKzTypI8WGkG/esn5TePeMmzXvaiNBSqayVLjEfI6cjTz1sc9z9u6Q3EqqRM59ChV6K8ywmeaYcAIhW5wpeSZgXFilIsVnnMgWKVslC+iMIVdm+91mfnORQMajc5CTEO5hmTnzrRvuiVU877StvvaFN0/6NnaZbjpbsGtZUzpauuyjj+q5mVbcjh2ti9UlKEq3j+bibIK1BBhzmdKSl1J2JFKolSDlHNupY8jGYenbLlP2QSIh1+DVSva8hkO+jkN29cpnkenMfntG9HbH5d/9On/1+p9FFp18JEnuzHP3BZNclm//5F/RKphtcMyCAK75OQCnpXVxae/2bHPJRYk/itWsdUaokdE6EGnQ3BNOYMpvOJOZ7fHTpZdzSa6uFpBe8IN9VpufvTg8Xwv1NjOEhI2O0PkzW+MXW4dM5LZcmXY6WkHs0bUq12PRiL9eYzW6QNkQZcqvLVyifNiDfwy639/5vbwoee0UOX70EV//2YM1wn4Rclf3+Bchhe1VwOol++v0sc+SLFgeWyYofdK63Q+YhHjeRNbPcq1OXqvjRNztvvhaPoO8doqMKunm5oe9irN8yeTle+FnOcsrkLMin+WNkLMin+WNkLMin+WNkLMin+WNkLMin+WNkLMin+WNkLMin+WNkLMin+WNkLMin+WNkLMin+WNkLMin+WNkLMin+WNkLMin+WNkLMin+WNkLMin+WNkLMin+WNkLMin+WNkLMin+WNkLMin+WNkLMin+WNkLMin+WNkLMin+WNkLMin+WNkLMin+WNENGX3Fzu6GQiHwJb4KNXdtIXI+/w+q0ZXs91f9qaf4uqvnv64CtVZAAR+WVV/d2v9KQ/oLyOa4bXc91fdM1n1+Isb4ScFfksb4T8MBT5Z38I5/xB5XVcM7ye6/5Ca37lPvJZzvIy5OxanOWNkLMin+WNkFemyCLyB0TkV0Xk10Tkp1/VeT+viMiPiMhfF5G/JyL/nYj8qfz4QxH5r0TkH+bfb/2w13oqIuJF5L8Rkb+S//9xEfmlfM3/ooi0P+w1LkVEHojIz4vI3xeRXxGRf/GLXudXosgi4oH/G/A/A3478K+IyG9/Fef+AjIB/5aq/nbgXwD+N3mtPw38oqr+BPCL+f8vm/wp4FcW//97wJ9V1X8KeAz8yR/Kqp4vPwP8F6r624Dfia39i11nVX3pP8C/CPyXi///DPBnXsW5X8Da/3PgXwJ+FfhqfuyrwK/+sNd2ss5v5C/+9wN/BRus9BEQ7voOftg/wH3gvycDDovHv9B1flWuxdeBby7+/1Z+7EstIvJjwO8Cfgl4T1W/m5/6HvDeD2tdz5H/APi3qePleRu4Vht6D1++a/7jwIfAf5zdof9IRDZ8wet8DvaeIyJyCfxnwL+pqk+Xz6mZiy8Nbikifwj4QFX/1g97LZ9DAvDPAf+hqv4ujINz5EZ8nuv8qhT528CPLP7/Rn7sSyki0mBK/BdU9S/nh78vIl/Nz38V+OCHtb475PcC/7KI/Abwc5h78TPAAxEpI+i+bNf8W8C3VPWX8v8/jyn2F7rOr0qR/ybwEzmKboE/BvzCKzr35xIREeDPAb+iqv/+4qlfAP5E/vtPYL7zl0JU9c+o6jdU9cewa/tfq+q/Bvx14I/kw75sa/4e8E0R+afzQz8J/D2+6HV+hc79HwT+AfCPgP/TDzvY+IR1/o+x7ez/B/yd/PMHMZ/zF4F/CPw14OEPe63PWf/vA/5K/vu3Av9f4NeA/xToftjrO1nrPwv8cr7W/0/grS96nc8p6rO8EXIO9s7yRshZkc/yRshZkc/yRshZkc/yRshZkc/yRshZkc/yRshZkc/yRsj/H66xw6d4b32QAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([128, 1, 96, 64])\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cnt = 0\n",
    "for sem_img in test_loader:\n",
    "    print(sem_img.shape)\n",
    "    plt.imshow(sem_img[0][0])\n",
    "    plt.show()\n",
    "    cnt+=1\n",
    "    if cnt == 5:\n",
    "        break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "reserved-blogger",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "047ed28460ed40f2991fe5e9889fa80c",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/204 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e220f1f4ab91475e85440cde1e83df29",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/204 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ensembles = []\n",
    "for model_name in model_names:\n",
    "    imgs = []\n",
    "    if model_name == \"Unet\":\n",
    "        model_map = smp.Unet(in_channels=1, activation = 'sigmoid').to(device)\n",
    "        model_map.load_state_dict(torch.load(\"./weight/map_model_\"+model_name+\".pt\"))\n",
    "    elif model_name == \"Linknet\":\n",
    "        model_map = smp.Linknet(in_channels=1, activation = 'sigmoid').to(device)\n",
    "        model_map.load_state_dict(torch.load(\"./weight/map_model_\"+model_name+\".pt\"))\n",
    "    for i, sem_img in tqdm(enumerate(test_loader), total=len(test_loader)):\n",
    "        model_map.eval()\n",
    "        with torch.no_grad():\n",
    "            sem_img = sem_img.float().to(device)\n",
    "            preds = model_map(sem_img)\n",
    "            preds = preds[:, :, 12:(96-12), 8:(64-8)]\n",
    "#             print(preds.shape)\n",
    "#             plt.imshow(preds[0][0])\n",
    "#             plt.show()\n",
    "            imgs.append(preds.cpu().detach().numpy())\n",
    "    pred_imgs = np.concatenate(imgs)\n",
    "#     print(pred_probs.shape)\n",
    "    ensembles.append(pred_imgs)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "viral-wireless",
   "metadata": {},
   "outputs": [],
   "source": [
    "ensembles_imgs = np.mean(ensembles, axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "immune-edmonton",
   "metadata": {},
   "outputs": [],
   "source": [
    "def to_num(x):\n",
    "    if x == 0:\n",
    "        y = 140\n",
    "    elif x == 1:\n",
    "        y = 150\n",
    "    elif x == 2:\n",
    "        y = 160\n",
    "    else:\n",
    "        y = 170\n",
    "    return y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "rocky-stranger",
   "metadata": {},
   "outputs": [],
   "source": [
    "nums = np.array([to_num(x) for x in cls]).reshape(-1,1,1,1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "religious-improvement",
   "metadata": {},
   "outputs": [],
   "source": [
    "outputs = ensembles_imgs * nums"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "given-rebecca",
   "metadata": {},
   "outputs": [],
   "source": [
    "os.makedirs('./submission', exist_ok=True)\n",
    "os.chdir(\"./submission/\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "sensitive-gardening",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a132768644ed4b64951413844e9a8543",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "path_img = []\n",
    "for idx, path in tqdm(enumerate(test_sem_path_list)):\n",
    "    cv2.imwrite(path.split(\"/\")[-1], outputs[idx][0])\n",
    "    path_img.append(path.split(\"/\")[-1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "satisfied-surgeon",
   "metadata": {},
   "outputs": [],
   "source": [
    "submission = zipfile.ZipFile(\"../submission_0915_OO.zip\", 'w')\n",
    "for path in path_img:\n",
    "    submission.write(path)\n",
    "submission.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "center-satisfaction",
   "metadata": {},
   "outputs": [],
   "source": [
    "os.chdir(\"../\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "surgical-polish",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['000000.png',\n",
       " '000001.png',\n",
       " '000002.png',\n",
       " '000003.png',\n",
       " '000004.png',\n",
       " '000005.png',\n",
       " '000006.png',\n",
       " '000007.png',\n",
       " '000008.png',\n",
       " '000009.png',\n",
       " '000010.png',\n",
       " '000011.png',\n",
       " '000012.png',\n",
       " '000013.png',\n",
       " '000014.png',\n",
       " '000015.png',\n",
       " '000016.png',\n",
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       " '000989.png',\n",
       " '000990.png',\n",
       " '000991.png',\n",
       " '000992.png',\n",
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       " '000994.png',\n",
       " '000995.png',\n",
       " '000996.png',\n",
       " '000997.png',\n",
       " '000998.png',\n",
       " '000999.png',\n",
       " ...]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "path_img"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "textile-mystery",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7f1004508dd0>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(cv2.imread('./submission/' + path_img[0], cv2.IMREAD_GRAYSCALE))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "global-concrete",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[140, 140, 140, ..., 140, 140, 140],\n",
       "       [140, 140, 140, ..., 140, 140, 140],\n",
       "       [140, 140, 140, ..., 140, 140, 140],\n",
       "       ...,\n",
       "       [140, 140, 140, ..., 140, 140, 140],\n",
       "       [140, 140, 140, ..., 140, 140, 140],\n",
       "       [140, 140, 140, ..., 140, 140, 140]], dtype=uint8)"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cv2.imread('./submission/' + path_img[0], cv2.IMREAD_GRAYSCALE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "signal-maker",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7f100447ed90>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(cv2.imread('./submission/' + path_img[-1], cv2.IMREAD_GRAYSCALE))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "atomic-retreat",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[170, 170, 170, ..., 170, 170, 170],\n",
       "       [170, 170, 170, ..., 170, 170, 170],\n",
       "       [170, 170, 170, ..., 170, 170, 170],\n",
       "       ...,\n",
       "       [170, 170, 170, ..., 170, 170, 170],\n",
       "       [170, 170, 170, ..., 170, 170, 170],\n",
       "       [170, 170, 170, ..., 170, 170, 170]], dtype=uint8)"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cv2.imread('./submission/' + path_img[-1], cv2.IMREAD_GRAYSCALE)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}