train_yolov8.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Training Yolo v8 for instance segmentation on butterfly images\n",
    "\n",
    "[YOLO Instance Segmentation Docs](https://docs.ultralytics.com/tasks/segment/)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import pip\n",
    "# pip.main([\"install\", \"ultralytics\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "ename": "",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31mRunning cells with 'yolo_segmentation (Python 3.7.16)' requires the ipykernel package.\n",
      "\u001b[1;31mRun the following command to install 'ipykernel' into the Python environment. \n",
      "\u001b[1;31mCommand: 'conda install -n yolo_segmentation ipykernel --update-deps --force-reinstall'"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import glob\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import torch\n",
    "import cv2\n",
    "import matplotlib.pyplot as plt\n",
    "from ultralytics import YOLO\n",
    "from skimage.draw import polygon2mask\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Device:  cuda:0\n",
      "__CUDNN VERSION: 8902\n",
      "__Number CUDA Devices: 1\n",
      "__CUDA Device Name: Tesla P100-PCIE-16GB\n",
      "__CUDA Device Total Memory [GB]: 17.06688512\n"
     ]
    }
   ],
   "source": [
    "#define path to yaml file containing info about our dataset\n",
    "YAML     = '/fs/ess/PAS2136/Butterfly/annotated_cvat_segmentation_data/dataset_splits_yolo/yolo_wing_segmentation.yaml'\n",
    "EPOCHS   = 50\n",
    "IMG_SIZE = 256\n",
    "\n",
    "use_cuda = torch.cuda.is_available()\n",
    "DEVICE   = torch.device(\"cuda:0\" if use_cuda else \"cpu\")\n",
    "print(\"Device: \", DEVICE)\n",
    "\n",
    "if use_cuda:\n",
    "    print('__CUDNN VERSION:', torch.backends.cudnn.version())\n",
    "    print('__Number CUDA Devices:', torch.cuda.device_count())\n",
    "    print('__CUDA Device Name:',torch.cuda.get_device_name(0))\n",
    "    print('__CUDA Device Total Memory [GB]:',torch.cuda.get_device_properties(0).total_memory/1e9)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Train YOLO for Segmentation on Butterfly Dataset\n",
    "\n",
    "https://docs.ultralytics.com/usage/cfg/#augmentation \n",
    "\n",
    "https://docs.ultralytics.com/tasks/segment/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "New https://pypi.org/project/ultralytics/8.0.228 available 😃 Update with 'pip install -U ultralytics'\n",
      "\u001b[34m\u001b[1mengine/trainer: \u001b[0mtask=segment, mode=train, model=yolov8m-seg.pt, data=/fs/ess/PAS2136/Butterfly/annotated_cvat_segmentation_data/dataset_splits_yolo/yolo_wing_segmentation.yaml, epochs=50, patience=50, batch=16, imgsz=256, save=True, save_period=-1, cache=False, device=cuda:0, workers=8, project=/fs/ess/PAS2136/Butterfly/butterfly_image_segmentation/yolo-wing-segmentation/yolo_models, name=yolov8m_shear_10.0_scale_0.5_translate_0.1_fliplr_0.0, exist_ok=False, pretrained=True, optimizer=auto, verbose=True, seed=0, deterministic=True, single_cls=False, rect=False, cos_lr=False, close_mosaic=10, resume=False, amp=True, fraction=1.0, profile=False, freeze=None, overlap_mask=True, mask_ratio=4, dropout=0.0, val=True, split=val, save_json=False, save_hybrid=False, conf=None, iou=0.7, max_det=300, half=False, dnn=False, plots=True, source=None, vid_stride=1, stream_buffer=False, visualize=False, augment=False, agnostic_nms=False, classes=None, retina_masks=False, show=False, save_frames=False, save_txt=False, save_conf=False, save_crop=False, show_labels=True, show_conf=True, show_boxes=True, line_width=None, format=torchscript, keras=False, optimize=False, int8=False, dynamic=False, simplify=False, opset=None, workspace=4, nms=False, lr0=0.01, lrf=0.01, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=7.5, cls=0.5, dfl=1.5, pose=12.0, kobj=1.0, label_smoothing=0.0, nbs=64, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=10.0, perspective=0.0, flipud=0.0, fliplr=0.0, mosaic=1.0, mixup=0.0, copy_paste=0.0, cfg=None, tracker=botsort.yaml, save_dir=/fs/ess/PAS2136/Butterfly/butterfly_image_segmentation/yolo-wing-segmentation/yolo_models/yolov8m_shear_10.0_scale_0.5_translate_0.1_fliplr_0.0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-12-20 23:25:21.056985: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
      "2023-12-20 23:25:21.057055: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
      "2023-12-20 23:25:21.326674: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overriding model.yaml nc=80 with nc=10\n",
      "\n",
      "                   from  n    params  module                                       arguments                     \n",
      "  0                  -1  1      1392  ultralytics.nn.modules.conv.Conv             [3, 48, 3, 2]                 \n",
      "  1                  -1  1     41664  ultralytics.nn.modules.conv.Conv             [48, 96, 3, 2]                \n",
      "  2                  -1  2    111360  ultralytics.nn.modules.block.C2f             [96, 96, 2, True]             \n",
      "  3                  -1  1    166272  ultralytics.nn.modules.conv.Conv             [96, 192, 3, 2]               \n",
      "  4                  -1  4    813312  ultralytics.nn.modules.block.C2f             [192, 192, 4, True]           \n",
      "  5                  -1  1    664320  ultralytics.nn.modules.conv.Conv             [192, 384, 3, 2]              \n",
      "  6                  -1  4   3248640  ultralytics.nn.modules.block.C2f             [384, 384, 4, True]           \n",
      "  7                  -1  1   1991808  ultralytics.nn.modules.conv.Conv             [384, 576, 3, 2]              \n",
      "  8                  -1  2   3985920  ultralytics.nn.modules.block.C2f             [576, 576, 2, True]           \n",
      "  9                  -1  1    831168  ultralytics.nn.modules.block.SPPF            [576, 576, 5]                 \n",
      " 10                  -1  1         0  torch.nn.modules.upsampling.Upsample         [None, 2, 'nearest']          \n",
      " 11             [-1, 6]  1         0  ultralytics.nn.modules.conv.Concat           [1]                           \n",
      " 12                  -1  2   1993728  ultralytics.nn.modules.block.C2f             [960, 384, 2]                 \n",
      " 13                  -1  1         0  torch.nn.modules.upsampling.Upsample         [None, 2, 'nearest']          \n",
      " 14             [-1, 4]  1         0  ultralytics.nn.modules.conv.Concat           [1]                           \n",
      " 15                  -1  2    517632  ultralytics.nn.modules.block.C2f             [576, 192, 2]                 \n",
      " 16                  -1  1    332160  ultralytics.nn.modules.conv.Conv             [192, 192, 3, 2]              \n",
      " 17            [-1, 12]  1         0  ultralytics.nn.modules.conv.Concat           [1]                           \n",
      " 18                  -1  2   1846272  ultralytics.nn.modules.block.C2f             [576, 384, 2]                 \n",
      " 19                  -1  1   1327872  ultralytics.nn.modules.conv.Conv             [384, 384, 3, 2]              \n",
      " 20             [-1, 9]  1         0  ultralytics.nn.modules.conv.Concat           [1]                           \n",
      " 21                  -1  2   4207104  ultralytics.nn.modules.block.C2f             [960, 576, 2]                 \n",
      " 22        [15, 18, 21]  1   5164814  ultralytics.nn.modules.head.Segment          [10, 32, 192, [192, 384, 576]]\n",
      "YOLOv8m-seg summary: 331 layers, 27245438 parameters, 27245422 gradients, 110.4 GFLOPs\n",
      "\n",
      "Transferred 531/537 items from pretrained weights\n",
      "\u001b[34m\u001b[1mTensorBoard: \u001b[0mStart with 'tensorboard --logdir /fs/ess/PAS2136/Butterfly/butterfly_image_segmentation/yolo-wing-segmentation/yolo_models/yolov8m_shear_10.0_scale_0.5_translate_0.1_fliplr_0.0', view at http://localhost:6006/\n",
      "Freezing layer 'model.22.dfl.conv.weight'\n",
      "\u001b[34m\u001b[1mAMP: \u001b[0mrunning Automatic Mixed Precision (AMP) checks with YOLOv8n...\n",
      "WARNING ⚠️ NMS time limit 0.550s exceeded\n",
      "\u001b[34m\u001b[1mAMP: \u001b[0mchecks passed ✅\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[34m\u001b[1mtrain: \u001b[0mScanning /fs/ess/PAS2136/Butterfly/annotated_cvat_segmentation_data/datas\u001b[0m\n",
      "\u001b[34m\u001b[1mval: \u001b[0mScanning /fs/ess/PAS2136/Butterfly/annotated_cvat_segmentation_data/dataset\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Plotting labels to /fs/ess/PAS2136/Butterfly/butterfly_image_segmentation/yolo-wing-segmentation/yolo_models/yolov8m_shear_10.0_scale_0.5_translate_0.1_fliplr_0.0/labels.jpg... \n",
      "\u001b[34m\u001b[1moptimizer:\u001b[0m 'optimizer=auto' found, ignoring 'lr0=0.01' and 'momentum=0.937' and determining best 'optimizer', 'lr0' and 'momentum' automatically... \n",
      "\u001b[34m\u001b[1moptimizer:\u001b[0m AdamW(lr=0.000714, momentum=0.9) with parameter groups 86 weight(decay=0.0), 97 weight(decay=0.0005), 96 bias(decay=0.0)\n",
      "Image sizes 256 train, 256 val\n",
      "Using 8 dataloader workers\n",
      "Logging results to \u001b[1m/fs/ess/PAS2136/Butterfly/butterfly_image_segmentation/yolo-wing-segmentation/yolo_models/yolov8m_shear_10.0_scale_0.5_translate_0.1_fliplr_0.0\u001b[0m\n",
      "Starting training for 50 epochs...\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "       1/50      2.37G      0.587     0.9669      1.699      1.006        205   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.936       0.88      0.879      0.814      0.943      0.888      0.886      0.791\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "       2/50      2.39G      0.447     0.5717     0.5839     0.8875        174   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.966      0.881       0.89      0.829      0.966      0.881       0.89      0.762\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "       3/50      2.38G       0.46     0.5632     0.5259     0.8908        152   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.951      0.865      0.879      0.797      0.976      0.881      0.893       0.81\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "       4/50      2.37G     0.4314     0.4922     0.4622     0.8834        146   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.975      0.897      0.894      0.811      0.975      0.897      0.895      0.812\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "       5/50      2.39G     0.4347     0.4871     0.4564     0.8847        141   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.824      0.871       0.87      0.814      0.933      0.867      0.873      0.742\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "       6/50      2.38G     0.4185      0.522     0.4334     0.8809        164   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.983      0.897      0.924      0.861      0.983      0.897      0.924      0.806\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "       7/50      2.38G     0.4092     0.4599     0.4194     0.8759        149   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.976      0.892      0.898      0.844      0.981      0.895      0.899      0.824\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "       8/50      2.37G     0.4086     0.4603     0.4067     0.8729        140   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.977      0.889       0.89      0.836      0.971      0.887      0.883      0.767\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "       9/50      2.37G     0.3921     0.4441     0.3894     0.8701        183   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.974      0.867      0.896      0.838      0.972      0.865      0.896      0.793\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      10/50      2.37G      0.387     0.4394     0.3829     0.8688        200   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.968      0.877      0.904      0.863      0.976      0.884      0.911      0.801\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      11/50      2.36G     0.3775     0.4477     0.3775     0.8674        148   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.974      0.895      0.902      0.849      0.985      0.896      0.902      0.822\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      12/50      2.38G     0.3776     0.4358     0.3698     0.8667        171   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.973      0.897      0.897       0.85      0.973      0.897      0.897      0.809\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      13/50      2.38G     0.3812     0.4254     0.3668     0.8634        138   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.983      0.889      0.901      0.841      0.986      0.897      0.902      0.814\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      14/50      2.49G     0.3505     0.3863     0.3382     0.8586        147   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.982      0.888      0.901      0.858      0.989      0.895      0.904      0.807\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      15/50      2.64G      0.356     0.3958     0.3387     0.8618        153   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.989      0.888        0.9       0.86      0.983      0.896      0.902      0.803\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      16/50      2.41G     0.3516     0.4057     0.3363     0.8578        146   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.979      0.896      0.904      0.871      0.979      0.896      0.904      0.817\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      17/50      2.41G     0.3398     0.3696     0.3141     0.8556        166   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.988      0.886      0.897      0.867       0.99      0.896      0.902      0.816\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      18/50      2.39G     0.3417      0.373     0.3238     0.8558        156   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.984      0.889      0.898       0.87      0.991      0.896        0.9      0.813\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      19/50      2.59G     0.3406     0.3717     0.3152     0.8572        211   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.991      0.897      0.911      0.869      0.991      0.897      0.911      0.822\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      20/50      2.36G     0.3311     0.3558     0.3119     0.8527        159   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.871      0.923      0.922      0.892      0.877       0.93      0.929      0.824\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      21/50      2.37G     0.3217     0.3301     0.2919     0.8495        185   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.985      0.889      0.895      0.863      0.992      0.897      0.902      0.804\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      22/50      2.58G     0.3313     0.3621     0.3054     0.8522        170   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.878      0.956      0.925      0.884      0.885      0.963      0.927      0.816\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      23/50      2.36G     0.3283     0.3533     0.3011     0.8482        163   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.991      0.896      0.904      0.874      0.991      0.896      0.905      0.802\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      24/50      2.37G     0.3167     0.3364     0.2815     0.8473        172   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.987      0.889      0.892      0.875      0.991      0.897      0.897      0.812\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      25/50      2.37G     0.3169     0.3338      0.289     0.8501        184   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.981      0.889      0.893      0.872      0.988      0.896      0.898      0.796\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      26/50      2.35G     0.3096     0.3282     0.2814     0.8507        191   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.983      0.889      0.901      0.876       0.99      0.897      0.905      0.808\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      27/50      2.35G     0.3007     0.3238     0.2791     0.8456        158   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.985      0.889      0.899      0.873      0.991      0.897      0.901      0.798\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      28/50      2.41G     0.2979     0.3271     0.2786     0.8481        144   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.988      0.887      0.897      0.868       0.99      0.895      0.903       0.82\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      29/50      2.35G     0.2991      0.331     0.2804     0.8493        160   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.985      0.883      0.898      0.867       0.99      0.892      0.903       0.81\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      30/50      2.41G     0.3071     0.3643     0.2893     0.8514        159   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.984      0.889      0.895      0.869      0.991      0.896      0.898       0.82\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      31/50      2.41G     0.2947     0.3292     0.2721     0.8414        162   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.984      0.886      0.892      0.866      0.991      0.894      0.899      0.815\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      32/50      2.41G     0.2865     0.3117     0.2641     0.8458        138   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.987      0.889      0.892      0.873      0.991      0.897      0.896       0.81\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      33/50      2.35G     0.2842     0.3104     0.2639     0.8438        168   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.985      0.896      0.896      0.879      0.986      0.895      0.896      0.816\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      34/50      2.41G     0.2852     0.3276     0.2633     0.8466        137   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.987      0.888      0.891      0.877      0.992      0.895      0.896      0.823\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      35/50      2.35G     0.2826     0.3053     0.2568     0.8433        171   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.991      0.887      0.894       0.88      0.988      0.897        0.9      0.812\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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     "output_type": "stream",
     "text": [
      "      36/50      2.35G     0.2803     0.3037     0.2562     0.8414        160   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.985      0.889      0.894      0.879      0.992      0.897      0.898      0.825\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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     "output_type": "stream",
     "text": [
      "      37/50      2.41G     0.2763     0.3167     0.2527     0.8455        132   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.985      0.889      0.898      0.879      0.992      0.897      0.902      0.817\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      38/50      2.41G     0.2731     0.2903     0.2436      0.843        172   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.985      0.889      0.895      0.882      0.992      0.897      0.898      0.824\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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     "output_type": "stream",
     "text": [
      "      39/50      2.56G     0.2783     0.3104     0.2488     0.8475        170   \n",
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.986       0.89      0.897      0.881      0.992      0.897      0.897       0.82\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      40/50      2.35G     0.2642     0.2933     0.2425     0.8394        143   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.983      0.897      0.897      0.884      0.983      0.897      0.897      0.808\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Closing dataloader mosaic\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      41/50      2.58G      0.214     0.2342     0.2129     0.8137         78   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.983      0.889      0.898      0.875       0.99      0.897      0.899      0.812\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      42/50      2.37G     0.2128     0.2302     0.2094     0.8167         85   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.978      0.889       0.89      0.875      0.984      0.897      0.895      0.809\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      43/50      2.43G     0.2078     0.2281     0.1994     0.8161         78   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.983      0.889      0.894       0.88      0.989      0.896      0.897      0.816\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      44/50      2.37G     0.2038     0.2382     0.2033     0.8102         81   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.982      0.888      0.893       0.88      0.989      0.895      0.899        0.8\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      45/50      2.37G     0.2001     0.2317     0.1943     0.8118         81   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.984      0.889      0.893      0.881      0.991      0.896      0.899      0.819\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      46/50      2.37G     0.1988     0.2214     0.1916     0.8116         77   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.984       0.89      0.891      0.881      0.991      0.897        0.9      0.823\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      47/50      2.43G     0.1884     0.2247     0.1831     0.8067         81   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.985      0.889      0.893      0.882      0.992      0.897      0.898      0.816\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      48/50      2.43G      0.185     0.2303     0.1794     0.8098         84   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.985      0.889      0.895      0.885      0.992      0.897      0.897      0.814\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      49/50      2.43G      0.185     0.2131     0.1804     0.8067         71   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.985      0.889      0.895      0.886      0.992      0.897      0.898      0.819\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   seg_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      50/50      2.43G     0.1858     0.2222     0.1726     0.8073         81   \n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.985      0.889      0.892      0.884      0.993      0.897      0.896      0.822\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "50 epochs completed in 0.152 hours.\n",
      "Optimizer stripped from /fs/ess/PAS2136/Butterfly/butterfly_image_segmentation/yolo-wing-segmentation/yolo_models/yolov8m_shear_10.0_scale_0.5_translate_0.1_fliplr_0.0/weights/last.pt, 54.8MB\n",
      "Optimizer stripped from /fs/ess/PAS2136/Butterfly/butterfly_image_segmentation/yolo-wing-segmentation/yolo_models/yolov8m_shear_10.0_scale_0.5_translate_0.1_fliplr_0.0/weights/best.pt, 54.8MB\n",
      "\n",
      "Validating /fs/ess/PAS2136/Butterfly/butterfly_image_segmentation/yolo-wing-segmentation/yolo_models/yolov8m_shear_10.0_scale_0.5_translate_0.1_fliplr_0.0/weights/best.pt...\n",
      "Ultralytics YOLOv8.0.222 🚀 Python-3.10.10 torch-2.1.1+cu121 CUDA:0 (Tesla P100-PCIE-16GB, 16276MiB)\n",
      "YOLOv8m-seg summary (fused): 245 layers, 27228174 parameters, 0 gradients, 110.0 GFLOPs\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "                 Class     Images  Instances      Box(P          R      mAP50  m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.871      0.923      0.922      0.892      0.877       0.93      0.929      0.823\n",
      "            background         64          3     0.0795      0.333       0.35      0.305     0.0795      0.333       0.35      0.209\n",
      "        right_forewing         64         58      0.985      0.983      0.992       0.99      0.985      0.983      0.992      0.985\n",
      "         left_forewing         64         51      0.964          1      0.989      0.979      0.964          1      0.989      0.969\n",
      "        right_hindwing         64         59      0.984      0.983      0.995      0.989      0.984      0.983      0.995      0.956\n",
      "         left_hindwing         64         50      0.948          1       0.99      0.983      0.948          1       0.99      0.943\n",
      "                 ruler         64         31      0.972          1      0.995      0.941      0.972          1      0.995      0.737\n",
      "         white_balance         64         18      0.951          1      0.995      0.995      0.951          1      0.995      0.916\n",
      "                 label         64         50      0.983          1      0.995      0.951      0.983          1      0.995      0.814\n",
      "            color_card         64         24      0.965          1      0.995      0.995      0.965          1      0.995      0.924\n",
      "                  body         64         14      0.874      0.929      0.923      0.795      0.942          1      0.995       0.78\n",
      "Speed: 0.0ms preprocess, 3.7ms inference, 0.0ms loss, 4.2ms postprocess per image\n",
      "Results saved to \u001b[1m/fs/ess/PAS2136/Butterfly/butterfly_image_segmentation/yolo-wing-segmentation/yolo_models/yolov8m_shear_10.0_scale_0.5_translate_0.1_fliplr_0.0\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "# Load a pretrained model\n",
    "# model = YOLO('yolov8n-seg.pt')  # load an official pretrained model\n",
    "model = YOLO('yolov8m-seg.pt')\n",
    "\n",
    "# Train the model\n",
    "# save_name = 'yolov8m_no_data_aug'\n",
    "# save_name = 'yolov8m_shear_10.0_scale_0.5_translate_0.1' \n",
    "save_name = 'yolov8m_shear_10.0_scale_0.5_translate_0.1_fliplr_0.0' ##USE THIS ONE\n",
    "\n",
    "results = model.train(data=YAML, \n",
    "                      imgsz=IMG_SIZE,\n",
    "                      epochs=EPOCHS, \n",
    "                      batch=16,\n",
    "                      device=DEVICE,\n",
    "                      optimizer='auto',\n",
    "                      verbose=True,\n",
    "                      val=True,\n",
    "                      project='/fs/ess/PAS2136/Butterfly/butterfly_image_segmentation/yolo-wing-segmentation/yolo_models',\n",
    "                      name = save_name,\n",
    "                      shear=10.0,\n",
    "                      scale=0.5, \n",
    "                      translate=0.1,\n",
    "                      fliplr = 0.0 ##RETRAIN with this UNCOMMENTED (default is 0.5 so that may be affecting our results)\n",
    "                     )\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ultralytics YOLOv8.0.222 🚀 Python-3.10.10 torch-2.1.1+cu121 CUDA:0 (Tesla P100-PCIE-16GB, 16276MiB)\n",
      "YOLOv8m-seg summary (fused): 245 layers, 27228174 parameters, 0 gradients, 110.0 GFLOPs\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[34m\u001b[1mval: \u001b[0mScanning /fs/ess/PAS2136/Butterfly/annotated_cvat_segmentation_data/dataset\u001b[0m\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         64        358      0.871      0.923      0.922      0.892      0.877       0.93      0.929      0.822\n",
      "            background         64          3     0.0811      0.333       0.35      0.305     0.0811      0.333       0.35      0.209\n",
      "        right_forewing         64         58      0.985      0.983      0.992       0.99      0.985      0.983      0.992      0.984\n",
      "         left_forewing         64         51      0.964          1      0.989       0.98      0.964          1      0.989      0.968\n",
      "        right_hindwing         64         59      0.984      0.983      0.995      0.989      0.984      0.983      0.995      0.953\n",
      "         left_hindwing         64         50      0.948          1       0.99      0.983      0.948          1       0.99       0.94\n",
      "                 ruler         64         31      0.972          1      0.995       0.94      0.972          1      0.995      0.736\n",
      "         white_balance         64         18      0.951          1      0.995      0.995      0.951          1      0.995      0.907\n",
      "                 label         64         50      0.983          1      0.995      0.948      0.983          1      0.995      0.809\n",
      "            color_card         64         24      0.965          1      0.995      0.995      0.965          1      0.995      0.927\n",
      "                  body         64         14      0.874      0.929      0.923      0.795      0.942          1      0.995      0.783\n",
      "Speed: 0.1ms preprocess, 5.3ms inference, 0.0ms loss, 4.6ms postprocess per image\n",
      "Results saved to \u001b[1m/fs/ess/PAS2136/Butterfly/butterfly_image_segmentation/yolo-wing-segmentation/yolo_models/yolov8m_shear_10.0_scale_0.5_translate_0.1_fliplr_0.02\u001b[0m\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([    0.20946,      0.9845,      0.9682,     0.95296,     0.93961,     0.73608,     0.90686,     0.80865,     0.92653,     0.78283])"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#print out metrics\n",
    "metrics = model.val()\n",
    "# metrics.box.map    # map50-95(B)\n",
    "# metrics.box.map50  # map50(B)\n",
    "# metrics.box.map75  # map75(B)\n",
    "# metrics.box.maps   # a list contains map50-95(B) of each category\n",
    "# metrics.seg.map    # map50-95(M)\n",
    "# metrics.seg.map50  # map50(M)\n",
    "# metrics.seg.map75  # map75(M)\n",
    "metrics.seg.maps   # a list contains map50-95(M) of each category\n",
    "\n",
    "# array([  0.0015378,     0.89711,     0.89991,     0.90443,      0.9035,     0.82305,     0.89682,     0.80595,     0.91695,     0.70794])\n",
    "\n",
    "# yolo 8n\n",
    "# Results saved to /fs/ess/PAS2136/Butterfly/butterfly_image_segmentation/yolo-wing-segmentation/yolo_models/train72\n",
    "# array([   0.029615,     0.97275,     0.94894,     0.93161,     0.93614,     0.73588,     0.95009,     0.81024,     0.92501,     0.76414])\n",
    "\n",
    "#yolo-8m ** this is second best, but it confuses left and right bc flip_lr = 0.5 by default** \n",
    "# Results saved to /fs/ess/PAS2136/Butterfly/butterfly_image_segmentation/yolo-wing-segmentation/yolo_models/yolov8m_shear_10.0_scale_0.5_translate_0.1\n",
    "# array([   0.043631,      0.9664,     0.94656,     0.95056,     0.94812,     0.80651,      0.9225,     0.84502,     0.92587,     0.81243])\n",
    "\n",
    "# Results saved to /fs/ess/PAS2136/Butterfly/butterfly_image_segmentation/yolo-wing-segmentation/yolo_models/yolov8m_no_data_aug2\n",
    "# array([   0.015237,     0.98289,     0.95798,     0.95832,     0.95468,     0.75121,     0.91373,     0.78447,     0.92841,     0.76938])\n",
    "\n",
    "#yolo-8m **DEC 20 2023 - USE THIS ONE ACTUALLY**\n",
    "# Results saved to /fs/ess/PAS2136/Butterfly/butterfly_image_segmentation/yolo-wing-segmentation/yolo_models/yolov8m_shear_10.0_scale_0.5_translate_0.1_fliplr_0.0\n",
    "# array([    0.20946,      0.9845,      0.9682,     0.95296,     0.93961,     0.73608,     0.90686,     0.80865,     0.92653,     0.78283])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load in Trained Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "#specify checkpoint path\n",
    "# ckpt_path='/fs/ess/PAS2136/Butterfly/butterfly_image_segmentation/yolo-wing-segmentation/yolo_models/train3/weights/best.pt'\n",
    "# ckpt_path='/fs/ess/PAS2136/Butterfly/butterfly_image_segmentation/yolo-wing-segmentation/yolo_models/yolov8m_shear_10.0_scale_0.5_translate_0.1/weights/best.pt'\n",
    "ckpt_path='/fs/ess/PAS2136/Butterfly/butterfly_image_segmentation/yolo-wing-segmentation/yolo_models/yolov8m_shear_10.0_scale_0.5_translate_0.1_fliplr_0.0/weights/best.pt'\n",
    "\n",
    "model = YOLO(ckpt_path)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualize Train/Val Results\n",
    "\n",
    "https://towardsdatascience.com/trian-yolov8-instance-segmentation-on-your-data-6ffa04b2debd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": 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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Image as show_image\n",
    "\n",
    "# path='/fs/ess/PAS2136/Butterfly/butterfly_image_segmentation/yolo-wing-segmentation/yolo_models/yolov8m_no_data_aug2/val_batch0_labels.jpg'\n",
    "# path = '/fs/ess/PAS2136/Butterfly/butterfly_image_segmentation/yolo-wing-segmentation/yolo_models/yolov8m_shear_10.0_scale_0.5_translate_0.1/val_batch0_labels.jpg'\n",
    "# path = '/fs/ess/PAS2136/Butterfly/butterfly_image_segmentation/yolo-wing-segmentation/yolo_models/yolov8m_shear_10.0_scale_0.5_translate_0.1/val_batch1_pred.jpg'\n",
    "\n",
    "path = '/fs/ess/PAS2136/Butterfly/butterfly_image_segmentation/yolo-wing-segmentation/yolo_models/yolov8m_shear_10.0_scale_0.5_translate_0.1_fliplr_0.0/val_batch1_pred.jpg'\n",
    "show_image(filename=path)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Predict results\n",
    "\n",
    "Useful documentation:\n",
    "- https://docs.ultralytics.com/modes/predict/#plotting-results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "box ids: tensor([2., 8., 3., 1., 4., 8.], device='cuda:0')\n"
     ]
    }
   ],
   "source": [
    "# Predict with the model\n",
    "from PIL import Image\n",
    "\n",
    "# test_img_path = '/fs/ess/PAS2136/Butterfly/annotated_cvat_segmentation_data/dataset_splits_yolo/images/test/15N123_d.png'\n",
    "# test_img_path = '/fs/ess/PAS2136/Butterfly/butterfly_image_segmentation/neil_butterfly_data_256_256/b2_1_720.png'\n",
    "\n",
    "# test_img_path = '/fs/ess/PAS2136/Butterfly/butterfly_image_segmentation/neil_butterfly_data/b2_1_720.jpg'\n",
    "test_img_path = '/fs/ess/PAS2136/Butterfly/butterfly_image_segmentation/neil_butterfly_data/b2_36_720.jpg'\n",
    "# test_img_path = '/fs/ess/PAS2136/Butterfly/butterfly_image_segmentation/neil_butterfly_data_256_256/b3_6_720.png'\n",
    "\n",
    "# test_img_path = '/fs/ess/PAS2136/Butterfly/butterfly_image_segmentation/mixed_species/Agraulis_vanillae_IMG_5679.jpg'\n",
    "# test_img_path = '/fs/ess/PAS2136/Butterfly/butterfly_image_segmentation/mixed_species/aoede_f_09-162.jpg'\n",
    "# test_img_path = '/fs/ess/PAS2136/Butterfly/butterfly_image_segmentation/mixed_species/Dione_moneta_IMG_5685.jpg'\n",
    "\n",
    "results = model.predict(test_img_path, verbose=False)\n",
    "\n",
    "# Show the results\n",
    "for r in results:\n",
    "    im_array = r.plot()  # plot a BGR numpy array of predictions\n",
    "    im = Image.fromarray(im_array[..., ::-1])  # RGB PIL image\n",
    "    im.show()  # show image\n",
    "    # im.save('results.jpg')  # save image\n",
    "    print('box ids:', r.boxes.cls)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Extracting orientation from forewings and hindwings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "classes = {\n",
    "    0: 'background',\n",
    "    1: 'right_forewing',\n",
    "    2: 'left_forewing',\n",
    "    3: 'right_hindwing',\n",
    "    4: 'left_hindwing',\n",
    "    5: 'ruler',\n",
    "    6: 'white_balance',\n",
    "    7: 'label',\n",
    "    8: 'color_card',\n",
    "    9: 'body'\n",
    "  }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "#predict results on a test image using our trained yolo model\n",
    "# test_img_path = '/fs/ess/PAS2136/Butterfly/butterfly_image_segmentation/neil_butterfly_data_256_256/b3_6_720.png'\n",
    "test_img_path = '/fs/ess/PAS2136/Butterfly/butterfly_image_segmentation/neil_butterfly_data/b3_6_720.jpg'\n",
    "# test_img_path = '/fs/ess/PAS2136/Butterfly/butterfly_image_segmentation/neil_butterfly_data/b2_4_720.jpg'\n",
    "\n",
    "# test_img_path ='/fs/ess/PAS2136/Butterfly/annotated_cvat_segmentation_data/images_256_256_corrected_orientations/incomplete/CAM036045_d.png'\n",
    "\n",
    "#load test image\n",
    "test_img = cv2.imread(test_img_path, 1)\n",
    "test_img = cv2.cvtColor(test_img, cv2.COLOR_BGR2RGB)\n",
    "\n",
    "results = model.predict(test_img_path, verbose=False)\n",
    "r = results[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(720, 480, 3)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_img.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "8.0\n",
      "2.0\n",
      "1.0\n",
      "4.0\n",
      "3.0\n",
      "8.0\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x2b0ceba2c190>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#build the mask for the image and look through all the boxes and masks assigned a forewing or hindwing label\n",
    "individual_masks = []\n",
    "#create an empty array to add our masks onto\n",
    "segmented_img_full = np.zeros(test_img[:,:,0].shape, dtype='uint8')\n",
    "\n",
    "#get the xyn coordinates and ids of the predicted masks\n",
    "predicted_class_ids = r.boxes.cls.tolist()\n",
    "xyn_masks = r.masks.xyn\n",
    "\n",
    "#build mask for the image\n",
    "for i, class_id in enumerate(predicted_class_ids):\n",
    "    print(class_id)\n",
    "    #get coordinates of polygon\n",
    "    coords = xyn_masks[i]\n",
    "    \n",
    "    #polygon2mask expects coordinates in y,x order so reorder\n",
    "    #since we're using the normalized xy coordinates, we also multiply x and y \n",
    "    #by the target image's width and height so that our masks scale and fit the target img\n",
    "    coords_adj = [[y * test_img.shape[0], x * test_img.shape[1]] for [x,y] in coords] \n",
    "\n",
    "    #build mask from normalized coords\n",
    "    polygon = np.array(coords_adj)\n",
    "    mask = polygon2mask(test_img[:,:,0].shape, polygon).astype(\"uint8\")\n",
    "\n",
    "    #assign the class id as the pixel value for the segment such that\n",
    "    #instead of 1s and 0s, it'll be class_id's and 0's\n",
    "    mask *= int(class_id) \n",
    "\n",
    "    individual_masks.append(mask)\n",
    "    #layer the current segment into one collective mask\n",
    "    segmented_img_full += mask\n",
    "\n",
    "    for y in range(0, segmented_img_full.shape[0]):\n",
    "        for x in range(0, segmented_img_full.shape[1]):\n",
    "            #if there masks overlap at y,x\n",
    "            if mask[y, x] != 0 and segmented_img_full[y,x] != 0:\n",
    "                #replace that value to avoid pixel values not in our id2label mapping\n",
    "                segmented_img_full[y,x] = mask[y,x]\n",
    "    \n",
    "    # segmented_img = cv2.bitwise_and(img, img, mask=mask)\n",
    "\n",
    "\n",
    "plt.imshow(segmented_img_full)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([0.9599, 0.9591, 0.9529, 0.9425, 0.9316, 0.7806], device='cuda:0')"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r.boxes.conf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[8.0, 2.0, 1.0, 4.0, 3.0, 8.0]\n",
      "['color_card', 'left_forewing', 'right_forewing', 'left_hindwing', 'right_hindwing', 'color_card']\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x2b0d728b2140>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# len(individual_masks) #6\n",
    "print(r.boxes.cls.tolist())\n",
    "print([classes[i] for i in r.boxes.cls.tolist()])\n",
    "\n",
    "i=5\n",
    "plt.imshow(individual_masks[i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x2b0bff3da440>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(cv2.cvtColor(r.orig_img, cv2.COLOR_BGR2RGB))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(720, 480, 3)"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r.orig_img.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pred pixel val:  2\n",
      "left forewing\n"
     ]
    }
   ],
   "source": [
    "#look at a forewing mask for example and try to deduce if its left or right\n",
    "#this method will not work for hindwings - need to address seperately\n",
    "idx = 1\n",
    "mask = individual_masks[idx]\n",
    "pixel_val = np.max(np.unique(mask))\n",
    "print(\"pred pixel val: \", pixel_val)\n",
    "\n",
    "y_coords = []\n",
    "x_coords = []\n",
    "for y in range(0, mask.shape[0]):\n",
    "    for x in range(0, mask.shape[1]):\n",
    "        if mask[y,x]==pixel_val:\n",
    "            x_coords.append(x)\n",
    "            y_coords.append(y)\n",
    "\n",
    "x_coords = np.array(x_coords)\n",
    "y_coords = np.array(y_coords)\n",
    "\n",
    "leftmost_x = np.min(x_coords) #min x coord (leftmost xcoord of mask)\n",
    "leftmost_x_idx = np.argmin(x_coords) #the index where the min xcoord is located\n",
    "\n",
    "rightmost_x = np.max(x_coords) #max x coord (rightmost xcoord of mask)\n",
    "rightmost_x_idx = np.argmax(x_coords) #the index where the max xcoord is located\n",
    "\n",
    "# top_y = np.min(y_coords) #min y coord (topmost xcoord of mask)\n",
    "# top_y_idx = np.argmin(y_coords) #the index where the min ycoord is located\n",
    "\n",
    "# bottom_y = np.max(y_coords) #max x coord (bottom most ycoord of mask)\n",
    "# bottom_y_idx = np.argmax(y_coords) #the index where the max ycoord is located\n",
    "\n",
    "#get the xcoord at the topmost y\n",
    "left_y_coords = []\n",
    "right_y_coords = []\n",
    "\n",
    "for x,y in zip(x_coords, y_coords):\n",
    "    if x == leftmost_x:\n",
    "        left_y_coords.append(y)\n",
    "    if x == rightmost_x:\n",
    "        right_y_coords.append(y)\n",
    "\n",
    "min_y_left = np.min(left_y_coords)\n",
    "min_y_right = np.min(right_y_coords)\n",
    "\n",
    "if min_y_left < min_y_right:\n",
    "    print('left forewing')\n",
    "elif min_y_left > min_y_right:\n",
    "    print('right forewing')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Cropping out items from an image using the mask"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[129.95077514648438, 195.7345733642578, 192.2591552734375, 75.06842041015625]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    " #[8., 1., 1., 3., 3., 5.] = [color_card, right_forewing, right_forewing, right_hindwing, right_hindwing, ruler]\n",
    "\n",
    "# #classes\n",
    "# names:\n",
    "#   0: background\n",
    "#   1: right_forewing\n",
    "#   2: left_forewing\n",
    "#   3: right_hindwing\n",
    "#   4: left_hindwing\n",
    "#   5: ruler\n",
    "#   6: white_balance\n",
    "#   7: label\n",
    "#   8: color_card\n",
    "#   9: body\n",
    "\n",
    "results[0].boxes\n",
    "class_8_idx = 0\n",
    "bboxes_xywh = results[0].boxes.xywh\n",
    "bbox_class_8 = bboxes_xywh[class_8_idx].tolist()\n",
    "bbox_class_8"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x2b794f62caf0>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "##plotting bounding box around class selected \n",
    "\n",
    "#load test image\n",
    "img = cv2.imread(test_img_path, 1)\n",
    "img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)\n",
    "\n",
    "#xywh --> x=x_coord of center box, y=y_coord of center of box\n",
    "x = int(bbox_class_8[0])\n",
    "y = int(bbox_class_8[1])\n",
    "w = int(bbox_class_8[2])\n",
    "h = int(bbox_class_8[3])\n",
    "\n",
    "#build coords of bottom left and top right corners of bbox\n",
    "bottom_left = (x - w//2, y - h//2)\n",
    "top_right = (x + w //2, y + h//2)\n",
    "\n",
    "#draw rectange on img\n",
    "cv2.rectangle(img, bottom_left, top_right, (0,255,0), 3)\n",
    "\n",
    "plt.imshow(img)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x2b794f6023b0>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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TeMtb3hI+u+mmm6CUwuOPP95zf61WC3Nzc6WXIAiCsD4578J166234n/+z/+JBx98EH/4h3+IRx99FO9+97uhtQYATE9PY9u2baXf5HmOTZs2YXp6uuc+7733XkxMTITXZZdddr6LLQiCIAwI+fne4Qc/+MHw9w033IA3vOENuPLKK/HII4/gXe9611nt85577sHdd98d3s/NzYl4CYIgrFMueDr8FVdcgS1btuC5554DAExNTeH48eOlbYqiwMmTJzE1NdVzH41GA+Pj46WXIAiCsD654MJ16NAhnDhxAjt27AAA7NmzBzMzM3jiiSfCNg899BCMMbjxxhsvdHEEQRCEAeeMQ4ULCwvBewKA/fv348knn8SmTZuwadMmfPazn8UHPvABTE1N4fnnn8e/+3f/Dq997Wtxyy23AACuu+463HrrrfjoRz+KL3zhC+h0OrjrrrvwwQ9+EDt37jx/ZyYIgiC8OjnTNMSHH364Z0rj7bffzktLS3zzzTfz1q1buVar8a5du/ijH/0oT09Pl/Zx4sQJ/tCHPsRjY2M8Pj7OH/7wh3l+fn7VZZB0eHnJS17yenW8ziYdnpiZMWDMzc1hYmLiYhdDEARBOEdmZ2fPOG9B5ioUBEEQBgoRLkEQBGGgEOESBEEQBgoRLkEQBGGgEOESBEEQBgoRLkEQBGGgOO9zFQpnz65du3DppZfCGAM/SsEYAyIK26R/h88YYGaMbhjD0NAQarVa2I4NY25uDu12G+1OBwADDBAARQoMexwCYNgAAJQ/hv9HkS2PGzgRf0Pg8Fn6AwIbnRSQQO47BkP5U2D7npnd/tkuPqoUFGVhoAdAvtgR98aWlW05qMcGAIw27jtCemr+Zfy+lYo/o7g7ey0YihRIKRAYhg0YDHInw8wwhsuLqCKeXzwH96+rOFIERWTPNR2ZwoDfA9w+KJQYrhwI505kL6oxxm5Hyf788ZL6IVLhQJScbPk3aZ26D8hez3g9bJls9fp7LtY1cwF/kyilXDWwu3c4HE8p5c/GlQPhX3vI9JwYxthzIF8l7M8l3sdwv/E3UjwGABik+PsTZI8Vy9Z1Y8Vtu4ifG2bkeY6xsQ3Y/ZrdGGo0ABBGRoahMoWiKPCNb/wfaF2EczXuj0yp+Py6cpB7how2YLLnMjI6hh/+4Ps4efJEtSCvekS41gSELVs2Y/PmLdi4cSOsDTelmzZsmdzQ9pfeEBrsvvIKbNy4EUtLS1b8jDVqx48fR7PZRKvdAptoHDMiayjY7tewFRsvXEzpMRnRrrI/svuMnMmIMKeGgZJzMIlwOQORiJc1+gpKZe47WCGMKpYeBJlSicEngBKD446pK8JFzFG4KBEuysLpMXGsB2MAsCuXcr/hbuHSpmv179Q423qyNWeMaySoKEaGXZm9UEbpTITLXxOVKKs7dXjxdHVmnOghXKhwrHA5qGyIjasbhm30JPY8iF8oIrxUkKsrL8DhKAA04OrKC4evSzbsSsfxfNyOOf4ZpJFdwTiIdaiMWLvJjeJuTbC7kRVlUezJIK2WtD2oknuK2VRuOwpCmp6nb5y42wzGMLI8x+joKMY3bEC93gARYXx8A8Y2bEAtz/H000+h0EW4r/NaDXlew/DwMBQROp0Oms0m2u12aBgYbctNTrh27rwEeZ7j+PFjWE+IcK0BskzhTW/6F6jVcmhn/Ng/g6DQOrZGEO5v9+Pk/etf93q8ZvduPPHEE1heXkZRaLABiDLYqLD1sNi5XAYAuYfaPscZQAwDwCQuDrNJPKbY0o0ta7LeiNvWaI1g4dLfAVYN2QkICMF0EWD8Uw+/b3tiwci496m3wImhA6z3GT5X3jshez5gJzoGYOv5KfupbX8nhtKdKOBrjA3AGsabUVIgKEAnYgJVFlhn4GNbwQRRcUcE62jsg36Q3VYnH/l9+fIQJ94h0r/dNXViEcvivSQOHgiRbSj4zzjxBO2RTOKYJIUrzVng618l1p9j9QWlIxivPAAyUmAyToCop7h6hWSwFXW250pQ1jnmjrs20UNRTMickBgwTOa9SUL0+wGQFydffncs9vdJaNq4Rph/GAzgGjBW1Mg1rNJGgt20KArMzc7iRz/6oT02KUxunMAVV1yBSy691N0rFLy8yclJTExMYvv27QCAublZHDl8BLOzs9Ba2wZU8IwNlhYX8aY3/RxmZk7h/vv/P6wnRLjWCPFB4ZJoAd0Gxf0i/OUFTRvG0tIynn32OSwuLqLQGgyFougAxplcMs4Y+FY7W2NfaiVb8+BDfHYtNXYPX9yW4FvcyuqR0SBm5ETQxrd4/f7sSRlmFO5cMwCKTNgX4I0ogaGderHd0gmj9Qi8ofWy58rtmuGKnCQWtqCKCMaWAGwYhq03ZxjQ8CLCALQNF5ICKIP2Nt57T+5/yre6geT4ygqkqZxPML5ObL1TlVzHIO1sACrceRuwUc4wKqhMwaCwRhxFDHkyuZp0Xls1BJb0YqcS7z1HKLt/Y6y3Bi/SwXtRobGhKAtCknoohgmk6shU7hpJ9hhEttHEKN+/BEKeZQieNhJvBc7LYdvQsrehAZO9LwgZFBQUabTac9CmCB4YAGjYlgITgZUCjY1ANepA7n5nbMFYlY4Yxc2FF8verd+MSlGIEP1IGwjMoEKjeWoGutUO9ySzfT5arRZOnjxlIxyGkeU1bBjfgLe85S146aWX0KjXcdVVV+H48ePI8xzDwyOo5TmOHDmCAwcOQGtdisDMz89hbm4W6w0RrjUHdX2y0qxcsUFNOHniJABgaWkJrVbTttKIUFO2hZoBMIU1AlZUnHFyltaKlW1kh34uEAyZ5OFNDZC1aSAf1iqcsVJoG0ZhAM0GKs+SvgkDJoIihlKMbRvHUc+cKAUTbsXEeyVWSFw40hjncVmjpygKrG8pExHImFBIIgXjwliageMnZtDqdNDRJgiKlyJjCFlew+iGTcjqw87wklMAew6xD5BceNPtgciFFREMYLBpHOsTyoeh7PuMgaJoo7k0j+WlkwB3klCj82KZAWWQ5cDwUB2kTLgGZeFKLg563U3xfgnGNxzHew1WbIkBoxWKFmNpoQ2imr/qpWiAojo2b9qJDWOTqNVGXKX745T7rnxd27Cha6TBB5p9v5hvvGSu784AZMVMIbO/R4Gj089jcWkWzdYCgvy5RpkGgDzH9t2XY3jLJtRGRwAmZO462LXfqVRBVHnvy0PuWrs2Vde2Xnite23Ay00ceerHWDxxEqbVCfcNM6PdauPUqZNotVswxqDWaGB0bAzXXXcdxjdswML8PA4cOIDFxUVsGBvDrmuugTEGy8vLOHTwIEylj7soNIpCY70hwrVWIJRaUkpZD8G4laPTUErazxXMIREOHzmMk6dOotPpQGsDZutnDOV11IiQO6+MXWKBFx24hrVyRkYzI0ub6pk3dC7RwT2IBAVWvuMYUBQfIFIGpsNoawZUA4riw8usAQXUAVy5YyvGhhvIYWwoKUlsIN+yV0A8U3vcIHGkQoJDydAkhtK+UzBEKJjwRGsRp+Y76GjtDBGF/+lCIasNY2LzpRid3IYsbwCUWa/L78mJKIe+laoBRNJMTz7z9s29EISL0Vycw4njh7G4tAA2GpliZGRDnIaN/awO1IczbNw6AlKFNehgEPvHmMFKoR9BYMsFjaE6IO4TABlC0VJYnGtjYaEJw9aDUuyTehQYGfJsGJdechV27tiNkZFNzusi6yWVjtX1Z7WEUArWY3L7tsKl7YsViHNXly0bUTj+M7SWF8H+3iMFJkJBANVyXPr667Dlta/ByJZNAGXIfMSPyndIuLqEUsgytlFiqWNdJY1KHy4sNMzMLOaPv4Tl+QXoTsc9LgzDGs3WMlqtJl4+cRIAIctyjI6M4arXXoXRkRHs378fD/7TP2F4eBiT112H17/+9ZiZmcHhw4etl5wkbtl+aQNjRLiEiwARYWpqB4aHh0FEyDLroRRFgVOnTmFpacmF68q/8ZlsYEaWZTh86JBtbbrQnoJBDo0NqobRWobRPEM+lLl+FoZRHB5gFSypfSh8Jz/Bt5q59KTb55sTK2SgYENbmhVm2oRTS21ws4OCfQDL7iAHYzhT2DJax5uv3oUt46NokLPqzgOw0ZsYw3SPasnoBdsPXwwK29tfRyNsoKCZ0DTA0YMHoTsdtNpttN1R4I1snkMNj2J08w6Mb70MWX0ETDUra64DQ/mgW38L7DUqljWJ4BmFIHpggEwBVTuJxcVFkMoAQyC2Qh79KiDLCbUhhaExQui2hGsIOOFl6lEooqSuyjXmbKqrMt8gMSAGiDMolaHdzqDyHGRyKCh3icglPRCUqqHRGMPwyASGhyfAPsmlJALeyLvGhfKJK5V68teaFcAKrDSAAgwNogxkMltnnCHPa1BK2fBorM54vwLIanVQXgeyGkCZC60yDFXTidzxk77R8hfVPzh5m9xzzECWAZkCcgIU2QQiDZi2LkcuiLC8uIQDP/sZ/p//+/9GXssxtX07fvu3fxtzc7P42c8O4C/+3/8XS0tLOHXyFNqtdinCYttLVBLV9YII1xrAZhuNW+ECbEvShcGyLOt5Y5bCh+Sy3AoT+g18GM+GfQooBmoEZBmHhy0jG7azD7v9zO0cnHnhAGLIrqsUyd8KBNfZDkZGtrsIBCiX8MHuYSViG/1ThJoi1PMMdRWefbdnFcUriFqXLQzb9/ycbX8LwUAzoKBgCLYvxgkZO4/Td+cQsQtjZlCqBqVysFJQrGz4DFw6Zi+qogVXv5R8R+k+lALlVhxyBWjyobKqNDNsgoex2YxWAVyCDcXtVrK7lToiXweJ8XU9ks442gaMcuHYkuFkADDOI7JhQyZ70Xt5KlWvy4ZgY/+U9/y8xxqbUpkTI3fObivbT+d7HJW7ltaz8fth158FRUiDln2Nfa9nrUfZY6vF3tM+ImLL7odNEKBdeJxhBc1eQtcONDCs0W63cOjQYQwPD8FojR//+MeYn5/D9NFpHD16FK1WE81m050XhciIjZyokDW5nhDhWiOMjY1heGgIWmssLCzAZzjZh4TDw2zfVkMwNnHAcAwj2DCG6zcyGsS2gU7kO5it5+DFJFq0ShPYf1b9pNLZ7p9uAkOFTD92SVMcIpJ2nJY3ihTK4Q0Jkf9tOmrJbVrqU0qqoM/nVkzZeV62HAoEUhmYstCn5i0ns+tbY3ZiEJNCfNiyl2hW6flx2lB3Wux9HnbnRrlCplI/EYluWb/RWz5b3SoIaajf3kUKRUj8H/gQp/3cf+MTQpDs0N9/cAbXXx0fdvb+tBe8eLx4/XqVLMhLVzUBbBs4sPewTdZAqIMwbMJnd5L9zg7piL1mvm79eYT76jSNwa7QIJU2TN5Sqd59lmEIeZuQx+vGCXKQf5+tqosCMzMzYB7HqVOn8NRTT6HZXMb8/DyWlhaxtLRoxS8cL2lgctp7uH4Q4VoDEBE2bNgAMGNxcRH79u0rpyWvkJzRa1++45uYQdFC2n3FLeENUjl41EumVqZrcGz5S+t1uRZolEfrLSAIaa+TOYvC9MEOtraegFLRi/Wt8lBcZ0yMiSnQwdD563A6hTgNQQTcvrxp8+FhrQ18V5U1TCEJP9Ygn105vMhHOHlVyoikbOk2zDbxhwGftsgGYQgDhbvh9Bcv7a8paXX4T/dJhnbWaXbvM+jjVTy7y3bGtyERVGbHIiqXds+wnlfmMyW9hDKDiZHnGa659lps3LgRzeUlTEyMY/PmTdi6dQt+9IMfouXGctlkoVgaY0wYE7ieEOFaI2SZ7RfI8zzciNXBxtW/U9KByuk2Jjy5iREISpW0TN1/UqN65muM2mPYVrcVKl8m315kEIzrmyuKAtoPlE5yCkpi2sO7Ss+5eu4AgpmlxPu0CuG9OlcNzIloRsNG8LMvsDMscKIVQ7BnQzCgwUZXxMKJQPRYKBbWl8UN2g7JBOzb4L0L1c+LiN+7ciQX3ot0Vd+8bNqqML6E6Cl+Z9XoKLk1/TfxLlDwpuxMLZx0JIau0uo9TLHUF4pwJ1H6mcuYNBzvS8BeVic+RVFAZSqM45qfn8P83DzKs9YY19ix93mmsgt6LmsVmatwjeA9pepUL6lxLs/CUGalz3uHE6JhKj8Y55FKC5rjOzCzy3zkaNARW8ndpT0bIfUH5lgIIChDaZ+V8CuHsKs3EakI+p/0vx49Su9+zwgD55Jvy/tORCMV2fLWld8n4aeSl1TesjTotkfRfZ10+V8ldzytK+otBJV996urkphyxbPrRbhPy9vEwfneQ/PhTu59oudIWsr+MlhuKNnf+X5o/96eiTEGS8tLWF5ehsoyMBsUbuaMMEzB3cfVOrqwMrw2EY9rjaC1Dinw7EIxQPTAqi3ndDqhfp5HyUClXlt64KSPqzsocxZUWunV6ZfSzXhFo8KVf7vpDnsl38WjuL/s2RExlEoysdjEzm0GmLKSca80nNFfPlZD2cP1LW8firR21nqjSlmvr9ofwny6FnY/T6UaCK4oI1LRoOT03cwoUCGcx26TdBxY2v/K7nqv9l4606y4tO/XjnGzYhCzPNAVHj+Tu7tanrOXvSg4PhQcHgf3Nak4Xu/gwUOYmZnFzMmTmJubxfLyMpYWF7syij1pQ3e9IcK1RiiKAnmeByPm50vrlQbv6WW0vXilsx+wCzFVKZuytAfq3KHEq4lHIQDKhnVgYLQNnaRuFlEP88LJl6WPueff/bFlCLNG2KHWYbfsDxFCTK7+yE9OVT2XM6SriITyZK+UCAKCl7rq7vfuiit7cSCEtP80ZNxvX0HjnOE1xpUxESXm0M9iVnUNkkOc5l7uF28kskMT/MSzMYRphYwU3JiDqlfkJ4WuNvC6y1OmHDalyr+nO+u0ry3cOcwu3mVvuDzPMLVtGzZu2ojxDRtw6aWXgtmg1VzG//k/3wieV5p8Rcm+1xsiXGuEoihCC2p8fByLi4tot9t9xSn9t/p5fB9DKF64+veG9N9Pv8+AtL8g8UQS8SFm2CReZzTTBn/ySrpYUmfnnPHliZ4ERQeBe2QiuvKEFGaUW+up1HRNeNzX8J3uTHxoqyrMqYfnW+vdHh8lXnPlzHucHLy71/V5rP7KMchuz04JouEOKp80PPqY866GTOVdtYrC6VTcp9LnXVXWa8/x8vf5vsfWp6HSyOtR1eRuaH/Nqs2eammY7aS8eZaDSKGW51CKkGcKIyMjMMzodDphlozqc7feEOFaAzAzWq2W9bSyDK/ZvRs/e/FFnDp1qrQNOFmywdEV1uhKVIijsfx0DX4WiGgS7ffpp2d8DqWuCjeyhhkwDEPa2mVWIGiE1PJg9FLlYjcfoUncr5Vb5iuFDIE4uas3gQq9w1gEP6dcJVPLG+WgX73cwnL5eopYKebIyccuHEcqNjYMADcujp1asDEwbMfshc7pZAhE9/DsniUs/dP3fdhNIu7MsOPL3FclrWWUKyoVvtXfV2HflevZ05kMYcp4bap9ZpSEo/1k0T0HaXeVIB41nq/3Uk9zLu4esZunXlLZ/0PSMNGFxvLSMhbqdTfF0xIypZBlCps3b0ZeyzE3v4BicTF4koY5mexrfSHCtUZot9sgsksZHDp0CAsLC2GJibAWD3envVYNZXxwo7EwbmZuw4hTL6EkB7B5f+fyCMT9MgiK7YggBQNQ7iJTVkZtyRQKEAwXdmAl51HM/Pikc8bNLsJuDTCyhixXQK4IGRE0VOhroywxsOzqxImqn/XBn2mvmlpNuNIfoaRh8B6xG1CrbF8cGzellZvEODY+gDim60yumZfublHo7YG4ho5bL6AUm2K7LhT8QGh07QSr8e+r9ZD+3RWSSxo3AGzddM8iDLhigYD5uXmMdzoY8YkNq+h7q8hL9xdVbe/+CEw2DQNuvBlVn93grFpPWmXA/NIiWBEKrZErwlCjjpGREczNz2FpaQlFp40w5oDJPlfh+qwvRLjWEOz6C5rNZujbslGdSmrymewTCK34024ZZxDtom8YrE9LPY7lcR5R2IzDAOgQ+kq1ohIV6oofngWl/RJZYUjK17tsK9S5t9Mr1OlKnld/w0mhkQLnZaUDt9OWelof5f7E1YW6SmVM43+lzcqfe4cjzpEZLXnvLMbTs/Iv4hlx5T7ornruVhD24wddkyrxcFan931Kt4IDabU1bRK6xlrSbwmKPw8OPBG2bNmCifEJGKORK2BsbBSbNm3C8y88DwDRJlijsC49LY8I1xpBKRUW2tPaLr4X2tamkkpcDYmgl4H0DzL3fMj6eQyrfhgSjfP60/N78qG8uGgkuoT0fHhXPeBqufxkwH62+crmhgFlBStMLu8FIzFW/eqoX8iyGsorDwBw33hB7TEWzxte32/iTq0URT371JrevyqdRk9RI1eHHO/P5Der6Us9Y3o5mC4hIxSz0pfWaNShVJZobF9/Kjwypa+Tzf2kwVR9pJJtS3e1u8/TMGYIgXKMehAIShF273oNNm/ZgpdfOg6lgI2TE5iamsLw8DDm5uZQFEWprHZXfYYjvMoR4VoLEKHRaGB4eBhZlsU0VzcQNMvsOkhx2hfARSHCfG3G6JBW68XBP4g9RarH52fQFdFnu+69GmPAyn4eBrYCThxMskBgKEXPP88KZyxyygHoaEgq0a10XaXonVZOMA0T9XM+T+PV9vNI0l7Gkpw50az6N+eT0/Zr+kaSK0v0VqPZtf1sZbE7l/5Sd9i+73purxTS/j5fBrtqtc0kjeuo9d9f0Ckuv1+J3tv0SVV31RITb1yzxDCOHzuGWp7h0kt2IssyzMycwre++U28uH8/ms0W4vRs8QYOjcF1hgjXGoAADA0NoV6vu6l0yreifxiVUlG82A9cZBAZ+NkUCFYQYmjCTwAaQwylnVeerdUOCwmZjd4bQb8n3c/xzgCnJiMdUNmjIGdAt2BElQmeSNJyjmO4ukNk6Ri59GequuFpbMXZjq+JRYst83jM7kG8paNwtwlbqRzUs6XSQ7A50evwtV/00/lWaRjuXDhNg4jdxYxduf5zE+qKw4bdnqC/H3tS9Zx6BDG6itjbcYOvOF9e+9YLfXcJlCJs2DCGRqOO6elpTE5OgABMTkzCxxbjudOKDaj1gAjXGqFeryPP8xAuDBDZEBbKBjc8kBS9MPLLMXC3AfRpE2mgJDxgSUpgeNDC4VfxdKxk+6ohF//gpuUreTjJ8U7zcJ5uOqPyjqJX472GYODS35bKlZQhVFjs+1qx5d7L+0oMX/ChUi+lqo0h4zIs8NJd1Zzsa4VyrGaFgX6Eeyepk3ScWdiGgVJWK/ugQW9J6z3Qt9yMiZG9ZB/pveS2sQ23eBQOjY+uOTawonilB+8qW/cnceqt5Nj+f4zQmGD4Msb6TA+jiNBo1MHMOHz4MMAGjUYDo6OjyNy4Q9vmpK5bdj0iwrVG8H1cvUbD+4eiOsAzHZDoByyXfuNFq48NDS3omOd9VqzU0ia4CW599pfR7iG2X2qtoUuThJ7HpmSflrNymXs9f2JsSFZr7erbGbpgdM6tiGkzAlzeDZFdQbk05ocZcAtvKlLIVlgoEkgbJJXjpoLSo0T9zymuTqy1BrGCInKLSroFPMMN5u+3KD7MfJr0896EcHe/8sJ6WX6gvTF2lhG/oGjFFYUPy60oWH3LssJ3ycNlwnHKGO0yMjPV55QY7XYLe/fuRS3P7TPRaWN5eRlHjhxBq9V22aara2isB0S41gh2ZDwAEK688ioYo2G0RrO5jOmj02i1WojxAtdiIwoGyQuX78MJfUrGGRa7IFZs6xFBuSmFfEsutt2TdnQ11a/qTpFvBcZpeOzBnPEgu15Q2CYoCYE0QRu7KrMxBgpZ7DbxfTtMSAfLUum4sTwlg8DpmVgDaBcQdMuuhCQI5YyqfRk23kUAmwKEAgQdojyc7MceMEkRD6Xr5W66wBq7fyshXCIDYg1A2+VUDMAUh0LYba2YFoUb41W4qiE3W0Q4ikr2G4W22soPAuxLXXJ0nfAwgTsE3bEiYZcZcfcD+WsKKDbQRQdFp4WitZi6+9Hz8OefRGmTy1WqN+892UthwvVxzTd3zzJarWV0ig4YCJGK4HexnemjtbCA5VMztp8LBGPs8j9Ga+RZDWXShl6aVcrhdq6GHu2jZk/KMNtZYRaX0Z5bgGm1kLGGIbsOnHHldiuWIaax22djaWnJLdPCOHjoMLQu0Gp3bF+wK12aQcql+259IcK1BmAgtKqYGaOjo7Dr9Nj0V5Vlla05CFa/VjQFa0R25mlmdFyrlF1WHRmDzBkjZsSl6DmVLm88LKXDMds1hsj1tYGDxnQM7MzvKD9kXgYZ1rtZaLYwt7QMIoZC7orstkoW6ytl4lE0Tv38PeW02h5MQblxRwUYS60WOoV2lj/9lV9VWqNoL6K5MAOjO4DKYIihGCBDICj4yVJBCKHcknB5++4+I2/E/WXx/X1MADTarUW0lufA2vbVWOGiUOnMgC4YRVujtaxByoosKbIemWsQBI8uDSdx9NarkVu3ZmX4JhU4YgUuNDpNA+gkNBq2JydMHSwtzWJm5jg67UV7HwXj351JSu5+Seu+dz8l2xnf3Rg3+5mbv9EAC4un0G4vu8/gFkW1LQwCQLrA4omTyIfqaM7Pg2C9H2MMdKdArVYL16d01DTTxN+wPlTHpiS6IdOTnHdpDMxSC8uzc9DtNogNCPb5dcs+wg/Q95mi/sp0Oh34WeTbMzOlujkbT/HVjAjXWoAZy8vLMMZO6/LCCy+g1WrZ9Fc20Nqmwaq4ufu3eykTn1kY1pMijUXugDsK3MydrbBDgxV8S59hkMFAAUxuIUiyq7gqhU6n447shTI+2HbZ9KpRJHRAmG910Ox0QI3MZn0BYC7AADQzmhp4+mcv4uDLQxiu16C1cp6UsfPiabbrsjjDWxbTWAb/YKcRKwbB+MGxnAHazo+ooXFkZgGzSx1oBsgHePxKm0ajaM/i5JFnsXDyGJSqAUqhoA4UgMwQoBUKFDBuGY2wDE1yHUJ9wcmucd6Zqz8y3sfNUEBDs4YxHVB7AUwFmPxq0rltVIBQtAlFx6C1PB+8c0WZE04nOModr5rEURkkHO8XFcK2Lt3HfQ5kIMBkYENAMQyQn9fR17urU27jpz/9Np599gmAimTMGYX9KaLSbCTVAfPlTE4VPyMN66Nkbmo/FxrUDIM2AD/eUQHGClcOIDMaWOrgxW99BzrLraAZDeW9xiQkG2fEcM9PkBJyzmWcayUNa5fkhPyk1/AOGpQxqDlv1zYOdHxGmELDx+8trtEc6Tetm8/0TMu2nhDhWiNoXcAYDb+IodYFtC7cxARxBohyym+S/Za0Zv17G0KpoY0MWgPLy+7RcP0miuysGnaCpRiKgQuPWcNoU+2dlLkWvv3WzxHqo2U+vGeYYEhBGwLymnuQbfYZqTrgzqUN4Lmjc8izeSiloE0Gv+RHRtZrggG0C+Gl3ptv6caBpS6IlQp4GFKQzLzOGq3CoDAAVGZ/xdGIKVcbKJbRWezAezEdKqwxJ7KeiLsO5DI9kTQirD7Z1W6tmS130CvbRLBm3RC08itYM+oAwBlYU1wZmciKCOcADLjwO3PTWbE3sAxkWWmaoxJe/Ku9+4yYheqMKQXxU3aqLlLeB4KfvSEVG6YOmLXz/txERERu5hTAEMGYOIA2Hi8Okwj3L/u6QrgfmBkaACljrw8Axcpdd78Cs71hDHSIRpAxyNg2/MgYG5YFwO63vgLs7CqxoREqBmR/48oaYx9JVmwi5oCrHrIz6kNlLkRuoMiAOAOxctfMPb8EELqXNPL0TKzx13OdemMiXGsEe7OasISJ9yiCoUElhNH1W78NkD56dqooBcM2TBaeMY7eGSePvjdcxu3Hptqns4HHIFGcfYKcybACaMKCjcpOvcPJ+DP4Y9rjzjeLRDKVs8GMjFRYtsr4eQt9Cdkdm8gtUEnB2PlyWr3y5YsteNuPBfhxNrY1TACr6BABNkmC27ZcbGzIighGAWAVjIZSFDye0nRbSiXXi6ORSvoCg3E2VngUktkVmNzkxGwFydUzWIGMN1zhQiF4OIbC70MYy9WcCZ4ZIQ3Dkt8XIdQrCGE2+GjGk/svsaX2OHZaKIaBnxMQIBiKQxIY8T6w9tqXUblmTRRD9qnj4e50dx0XiFe9BnCcRMyXi0Oh7FRLyu2TDNsQK2Jjwp4SuwaLTTxJQ+NAvMeTj+x9mYYT48duz246KlbhU2Iu76ePp7Ty3Ju+At059GukvMoR4VojENmOYzuOS8M7C0brJMyThlqsMfazFsQwTDQzdh0lH2ZjGGeZ/YNNQOiPSKbiRbrUhztYNHShs9wfSXk7CeNa5URwy5WEksDnXEEbGzDxx3SteXjjRzbBoKgcI/RbKLvInj2HJKTkSs/+JPyUOP482QkZZVZIyfafaFBo7Wag0EdnjPaHBYFQ59wmK7D1R0OWmklNW+xzJH/eRAhDiF2d5CoLDRQiIGOGa5xD+8aK6yO0SQWuZe+MueLMnjrZ8/CaZcuTKng63ZG9BoDNTjRdBs/+TqncigED4AwGNpTMpOFVQYWVmv30IgyCW4HYAFDaOxTBtyRSYJX2d9nv7eDgzJbHMMJyPC4MBpg4YwUUmFtgd9WIx4DgA8UAHyMHUQ6CQsZN5GSgvNixdvMIqnCv+L4mgop1mVSjfxZK7YAkPZ8YUBkFEbR3ugIjtyF4d04xscUfUwHJqs1p6H+l4QvVGfjXn2yJcK0Z6rUcjaE6MkU25TkVo64WFYWPQ0gkCTMQuWl4ABQZgbiDnDVqrAHtHyEb7sqIoYihgidCMGmLj2xSgCLb56XCAxg9L+9tWYNie8sICh2To801dLIxMJQNYZk2MnKhSQYMjQBcs0aJGMQZQBlC1p0ToWDkswyUMQzH8++uGwJlGTJ/SsxAMj+h7szD6GUYXoaq5QhLdsAaFMUGQ1xgXGWogUAGyDi3sVGfdRimsEp0I/mbGaUxeXbSV7tGlMpycB69NEWAhkGLDQ41F9ABASqzAuE8ceIMKBQIOfJs2HldiQLAeb6pt0CxgWO9GFc+pWLavTPSNkymbPjN9b/YHqwCmttod5aQ1V2Z4AdpA4wCTMu49DXj2LRlCGMTdYAKgAxIpT6Wq/0uTy2Zm9GXGfGetkkotq4U5QCsh64ox4HnWjh5vI2XjrRgw6gU1ca0kCuNqy8tsGtHDRvHc9i7zHpAMbu156OFtPmRZUDMqHRlpuiFMawAW7EjtHQDP3xuCUdOaEzPFMnjSzZ64O8T3wgMjVA7cUB635zW81qniHCtAYgIQ0NDGB4eQTtr9xiEnD5IlmqaenUMV2i5GYOJXGPjELB9rI6cO+5BsaGUDD5MQiGrkJMOagDQ2htYQqZc4Idte16BnbdFMJSBYJBDw3Adx+cZR+cMXtYcIlohLAUFgwyN4SnU6uOo1cdcxCwHISsNLQt9CETOcHLoU6tYmvAHUYaMvSFjGJ8UwRrL8wfRbr4E0+6UvFhDsLPHA9ic5bhydANGsxwZA4QMzlohN9qPLvA1F46dtoZtx7klHe9k+4usaChmsCK0jMFsUeBkcwlLIBSUWcPoZoQgEHLUoNDAkNoQzL231OTXW0vX2SKUGjReFEBw03AhCBeBgnix8wg0DAy10dYZOty29wkZ1yfl+7EUKNeY3Kqw4/I6Nm6r2UYChVZDWpiyVPTUDbedFzVlQ5DWa63B9faBUMfCXIHmMoGUBhvXFwc7L6ZiRo00to1r7N5OmNrEqMEvq9MdCnQ9sK5G05CeDQfbaot1S13n4utZYblgHDlmMDvvQ702Gar0A2I3moKSyATitXL/9vXCvIe4ThHhWiOMjo5hZGQEzVYLeZ4jyzJobVtr5ILxpdh3Ei3w/QKUhM78g5UVHWwb1bh6cx1vunwMY9mitb/Kfq/YtT5JOcGCDV8kz4jRsU8pyyj0xVhjasujlbI9ES4s08YG/ODAIvhnCzgxWwDI3HrDAFwYRaOBkcndGB2/FCPjO2GgQJxDIYcfkWTT98kNYE7T4EMALqmP8oOsjPMJFaAJsOOkmjh1JAfPMIrOAqAXw9Icmgk5MxpE2JnXcePG7dhUr6NBgCbfD8MYMtqZUlUuQ+W6pN+kU0YxolEnw9BEmNcG0+0Cz83O2HFtqCEZvQNiQk01UKNRjOaTyODn3vOGLzGrPQShWkbbL0fBgyQ4cY3FhyGNgppoIkdBTTCaCCFfVi70aoVr4zaFnbszbLuUXH0qG5atFKeUE9LXmYhp/dE427R4hQxgBZg6jh7MMHMCyHKGLlwflmtQZQAairF9XOM1WxiXbdXI4b0ctpMp9zl6HECd+NEr1KlvVNpop8JSJ8fGkQKjdUCRgaI8nisRQHGcGpK+vOqK0FXhsj8vu6z9h8S8uhHhWhMQslodqlbHkMrwhjf+HH7603146fgxtNut0LoPrT8gpPOmqbvMOu6RrDeUARjNO9hYB3aMtDCu7JgpkPdkKDx4kRhCSv06RioNPpEg8Vj8npjQogyjWQuNXMPOEWzHQTHl8LKjGICqgWkIwBgUfNp8hpJIEZw3yEkhejysvqXqzoszX9rCnadyK3XUQSpzQ4N8CI2QkY9K2f6WumE0mFEDUGc74tf/L3N9g0m6gTt3lK1zqXZspbsk+lDrxIwaM3K2fUO2/DbVJYYwY5IIuToOwlO6jr3xXkTwwEqLPZbT3D3Wg8mgKEOWZyhcSNXWlwbczBVkbBIOZbYClKLTlAbx3CtC5kulSltlAPxQCfs9QbsIgBVHm2Ho+q2UM/rEVkDD+enSbePuqL4lPZ0edAXw3f2jAOQEZGSD6CGAYuy1t060civgxUSWXis+9BKvKPi2KXh284EMNiJcawJGp1Mgb3fQ6XRw7PhxLC0uQRfa3uRwHlX6k2qoAt2my6VkwGem2daf7dNKGuqIj3D1GNWwSXnvXuDSUJnPZlOwizeq8I0N9fkj2CJwLITr1/KtW/YFrFqP0Agul4pLfT0Ig3x97cUf+8UH/f7j2JmYoUWlX6S+XXV2LAq/LhWmYoTSWFBax93HSjNKw+8ohpO6bRQl/yTnX+3I90WouDn+unSVNXnnM099bSRHTe4PKgvRyk5KqejhbfV9ei18+NrdE6S8x5Iuq5Juj3KdJMV3P+sqQjoTzUrlsuftftulXii1J8J9FZ6i5FlxdU/lPa5YFv8ZJ5GW9ZgQL8K1Rmi3bd9Wq9XC0SNHsLCwgMLNFB9a86XWaZw5g2E9BB86SDZyGXg+Vdk/rRwfYHg3A+FpLiV62L96PkBVKMTH/J65uzz+63DYaljGbeq3Kx2gvykstUirO+rSvmgqYnvV9ZtxDGimpUuLU4r6YKWQ10oFSQ2Y9z4oGLp4reDsW2L2/GfBNCYfcuX8zxV/axgG5RSEPhavl5J3ew49d51UnD/32EXH0fIn5xlmAEv0mNmE1H2Aw2wgMeO/+/i91j1bqaxdvy/94feFHpWfjMkKG0R19z/3s435MlVDgL29MYTXekOEaw3AzFicn4fuWI/LPoS+fyNdroFWtEq+tR4m3HVGTBsT0qzj/e8foOhRUVjyZHUPb3VP8Z0dxGwFkmF04dKPXZq1s/gqy5KW8hkf9vTl4rKJSP0F/z/fSA8iwKmdq1R2ap8pCYeFuj3d+JseKoooWkop5EohY592Qq71Tm6qqfi/HpLR8944u6y0JGFB+XuOK9+a+Jnb5Py3/J3rkopxxVD7uiPlsiE5Cj8bdpFsP0rswlJqcLiWmR/0blPtq96uGzzt5iZLZxY5XWq8T5ZSSpX6JtcLIlxrhE6njTxXbpXTOAiZfawGcC2z6BV1tVirRoqAOCYn/SI+/WHWgsR16GfsTm+Uw0FD2EgpsokgaRmCWPii9Npv6k2cDUlrFekgVZc9l7Zm01+5jLayEfYtZid2gBtMWiH9zP+dekrJ8bj03/gbX15FCib0f6CrKnx/SviKubTd6jwHTkQg3gNB3Cm9d2J/C8iKghd8O2lxt9ccT2v1Xk06a4W9P7rvAyJ2HgoFA268oBOFPjZbfg3mON/F+TLx3VMxVbdwTQ/yKfjl7EVy1xeI1y968r2jG/3Gdq3HlHkRrjWCMdoupWF0lyEL+JZvJfsoNTT+M7jPSo9q2F004tXvqo9Av5BKFU7/YrJ96SGtOZYldEUlLeO4hx5zteFcjU3qC/rQTC+PhUCUhGhWCLn1bAH3O3wQI/df7mmLg26seK6Ecn1WNz5r+5WGsvy7Su2EOomGkkruz+qvUq97qef9VfL03L1CLgbI5WSTUhG8iPow+iorplef0mnLiO7H1DfaSuG+8HzF8WBpKL58Asm++nrxPrQtfVzCRSQdSOyn3PG2KTy6BCiXRVUat+X+m7Z4Q4o8/IPuhcOLSa8xIGcrEUkpE2NDPtLDdi449mONmBG8SuPXVOrGm86zFa/QxuXyvnzIMoYtffBNAaSTCu8+OK9gZPqTCoOLq1EPY1Pxiq13F71tn/oeMs28HKrVNS7OrLzJNXX3ove2PHb2DQ0U2l1HPvuLddZFTZIznLAZYxORbN8XSl1LF7p4aXjP/unvNYMwx2MyjswOuu/+vf87Xa4o/MZFYgwz3FwF6w4RrjXC0NAwhkeG0SkK1IeGkLeaKHQBrd3yG0Bo8abhNT9ei02SGh+y63yrM84PGFyJGNMKb6pS2P13L2LeYPiHY39SnGnBTSLKcXYHhp0twLjUfu8DEcKKXudGanvDZK2ws96XZpSwNZdVPKHycIPwYTTipWP1yHLsVZASqcfC0ZtiG4pLFyYkQy4dvpy4oUjZSYjTQlbujzMnFcLoelqBjPciKQKpLGkQXEA4ub/8sQil/kh2jSZyHnV5HJb/4fnxT2IkohQAgc8gjN5Q0hfogwrhXDh5pik0QNIkje6QZExC8VGWddjFJcK1FiAi1Bp11BtDyGsaGyc3opbnaLWaKIoO5ubmUHTaMGzCDAn+d9HWRUNVGqRsoyrOEYrmxfki6G9U/X5XeQ5++3BQ+4yq0vEqv2GGbxJ3+zHc1ULmrhhbr9CKP15qShOLTn6OOJ+c4cdTxaR3P3NE2IWvzuA4RR+3Xz10s3JFusa5u1Y9ZKAccUIwXLZA8EbMfrO6i8aVq+ZrjpJqJqYwR6MdG4XkJBNhSJNszhvp9aPyvRECbukd7bb2F6pk0an0V7+S9hL81fftJkdghDorN8PSMEq5YRCPF8/DTgOVfh6PF5KLxOMSLhZDQ8MYHRkFkcLY2HhYAbnTaeP73/seTp48CcNt65lQaqTKVAWMydilM0z3YoJRvOw7gp1Lj3uFsfpCoeXofmw7ypndpE5uoGrIKkyOyAYwBcA6iJQvh59TO5xXqdT98eJG5Fu75MTeTgJriMEqQ0jrhnG2g2Bng7Dli95OD/FDd70Hr6NX0kbiIXXXHZWa7exjW8ovnWjnx1BEodHixY3ZuDXFYho9UG68nK7fplS+RO69jPvwpGFGwdaIZm4wsHEzwWduFyX7XnVFzgo3c0pYBCZ6GgHf51XxPsjdR3ZZutgCSr/vOtpphLfcX9td1vK/rt6McUkYCopUvG/I32X+WVahyuJYLXuNfcgxPCEXur0wAIhwrRFqeQalCEWngxf2v4CXX3oJi4sLMEaj3W4BMMh8+rhDu5njlVLIsqy0JIrvJzNs0+GNBtgkhqny/AM4y5Zb9YGN4mhDheTW/YL1ckJmBoHdpKL2QfSzAJRFwDZQz8QA2jMsP8xR5G0LlYIx8x3+VNnWhHFB3e3zags/ftGvAnu08f3PDQcDBdihDHbV3LhPO9uCAZm4aGe5NGcvEC6PBlbgo+/l90r+O7jJn5Pj2zFwbu7I1BNzntn5j2CVvRcbhbbXu5RQ40J0IaxGOA8iemaY0A+ZHNrP0M+w5XJDDYgIY6NjuPSyy7BhwxiyLENRFJiZmcGhQ4fQarVK/cBpgpNyi72uN0S41ghsjMssLNBqLmNpcQGLCwuuxeWNO4cGei96ZVh5Dyf1H2KQqezTnH3h0z+84bNl9XF7/7VdwSRt2ftypu39GPry5e5ldvpnPPYKBiVjoHzySxqCIoR+wlhflYwtSvdaLlXMtDtNFfUoaTWgZS81B6ENR/LZLitw+rFk/ctRuoxJuaqOhvWBVOItvBL0EH5CTGRyn4VGD9w14UojppQ5uTrKobr+v+4K2/Xrf3KFtOPPCI16A5dfdjlIKSwtNcHMaNRrGB4exiWXXIIDBw6gKDrJ8cPJn8FZvLpYf1K9Rik6BYpOB0XRgdF+RnAfJGH4VXrTh1ApFVuaabKG+8w/RN74ldrR/R6os3wW3FjjUovcj7GJz1cyvsuNtwnSQKlYpPstn0tK6l3G8GkqlN2ykGZ7ecNHyi8qmSaL+HXMkt1V/k4nQu0vFv0Kn3xMcdxRdBv8OaLHOXbT77t+E7f6DEBKvutVXj8Iule/WUx+PTOf+JxJRKt83tE/BPvBvz45gkPVrka0Tn9d+/zOl8Tfi26FgNjf5a61s7xZpjAyMoLrrnsdWq0WDh44iGd/+lO89NIJ5FmOq666Cnmeu/NUMckpabTJOC7hosAAFtrL4JygCw0NhlZ2SXejTWhtK6A0uh7w3guXhCvuN3a6u4BKsDbn71bnPjtzM46D3Mq7ySrGxq6q7LPnrEjbslEY5OsKeUb9bVXKJ8pg189XNrNG+6X/FFSmYmsueBgV79CfdsVg9B4gWi5OWpqg2P5rjgLml0EhFedHZ+36S/JQiqSQVoXOzIZVvMaeW8Ry2mmbbaPKriTNoMyvRJCIF3mf+kJhr4hy0TZ7TIRyxnRzb9zh81dCKS+0qff3tT1W2opM6lTZVP52u4MjRw9j67atGBoewr59P8HOS6aglMILL7xgZ9NhJNEWt29av36HCNdagBnt5RZyZNDGgLUBGbcsB/vQD/eacg0xWcO37CqWUjmfLWSGOXMVQmWV5r3/+MxPwv40tOKT+H4SRvOGD5w8hPFNUo4+XmGvI5djQZW/E0OVejh+1vBwHLudYZuGrtOmedBmTrYvQ9GquPpNN+L+58JlRzcIQDi2nSZZcRLEdCJVunSV9+HzFZTM14n16P0O4vlVf9md7RhT0KMXZ19n08fVu6Sx2VA+Pic3W3JcV86yx3RuMlWtwv4NFi5tH4/t/FJKRRXwDStjDNqdjuvfmsSuXbswMTGBdrud7Nc19tx7TrzK9ZidIcK1Rui02mhTbtNfDaA4pipo52XxCg0slYxEjOnw7mHxYTCORs82TtPBj4nl6/UcVOzwimYpcQYUxTFdDIDZJ5CokpGpHjrsInze/+HsKlqyLaVfkP+MQrilJESag1dmQjkRF7L0M7x6jSJKjhEHCyda7Q5N8MuYpKdhd1sxgpWy2jrzhttt07fqE+Hsc30qgdjkk2pjoVqusoGMbY5y6NHXQ7UOVkty6wTjHCvFlyH1pF1iC/sD+nF5LlRonLh6JV3hFi+db4/+09g2if2IYVos+M/tNobTa1d5WkJbKfG23bM6NNTAjh070Gg0YIxBo1G3SVsFABhQyEyM4/7Wn2yJcK0dlAIy29/SGBtBo91EB4zW0iL8MvH95rrwDU//oBhjbL+N24JNBjY5YNzy5tCIt7tKWtsGfewdVhIqa1eysE064wMpQq5yGJO5Oep1YjwMmDsg1lDMMG495lJQLp3ksGpz08+qliF8nZ4noNiAQsvcel2xxW4XwbTLfRHSqY5txp1LzSYnYF0d/eWVo31dBN0Lq3fZOidmZIlw2F/bbTRsoNUuOggQFDKVuQHdhTtHP2jAJDaZUA6XpeGxsiyUZD6Ig4YXWYMcBgxDLizIvk/SNzyUFQ207PABdutmwTeifIIJh3KsNp+AOQk3sj9Xf60IMHWAm2AYaMQlPYnh1n0DNBiGFVjnQJGDM40ieGl+vbfk2oX2XgwxhlpNIrJRtJJVw8gLVoaC62ibDtqGYSdwc7PdoEiugPPCVI6h4TFceeXVeOJ738WxY9NYXlrCps0bsW3bNlx6yaV49tlnAXRimaHgx3Bmmc0oXm+IcK0RlAIyZW/M0dFhNJcbKNpNLC9aQ0I+Pl9pdgdnQdtFJGPr17ZCtdHoKIOWZiwVhFaRoQhpxARiu6KsgbYGKjT3/bHKrf1Snwel5Um8JgbaRFgoGE0NGK2dIHnz4haLJIWiWES7dRLtpWMoUAPStbKCMY8LZKbeWTDHSeu7W2CtYWdXMGaN5tIRNNun0DbLIMXBa/Ct/IIZC8bgaKuFNgMNGGQutZpBMITQqg9l6ntsd52S2ULs8p4c1iQzBLQYmGXGotZosxVIQwajY2MYGhpG0SqwNN9Bs1gEESPjzN0PCumK1YQ4RZD1fNIy+Rk2XJjJf0wqGGkie9/YX+XQVKBACxqd0vi+0ERhBSrqOPazFrgzg+mDTnDcUiOaFbRmaKNRr9WT6+Bqg/3UVql34826LY+Xbnbj7OwlreHYYY2TL3WAoo6YcckgVjCooQ2F548ZEAo8e0CDKbnH4w3tohDl5VrSKxi26/owqQ3y+yIUDPz0UIGX5wBDNSiOC1lqP1bS7U+xRqu5hOeffw5btm7Bli2b0W63UK/VoLXG4cOHUa/XobV2fV3JiEZFJSFdT4hwrRHyzK4yC9gbUSkfT+izIEMSDvS/KX/vPQSDlgHmW8DxeQMUgMoIRAy4PjQwoSCCIT/zuTcUQJQHf9i0MyXxbCh5GgF0YHBsAZhrAdofKpxN9FqKzgLazZexvDCMAs4jJIANwa0XC+Zk5dpwjOiFBRsY6orLX5COHfRgtDsvodOZCQO6OdmcQCgALLDB4WYT80WBGmuo4IWQCwOVhau7RpJr5L4IYaZkK++jdQAsMWHZGGjnmeR5homJCUxMbMTi/BKK4hSaSy20eankHCftCyiOA1fj4ONy/5Af5OrLy7DeMJihlB+0DRAyaCpgSIOpKIURyQkvmEC6jlPHNVpLTdSH2c6IYjTYFChMDm0MisKg3uiEemYTl+shJAPTOfFSnbH3omQMAWTc9cqxNJ+htUxQXI8uEXmPKYNmhenZAp2Wwc9qDA0C+0xWbaAoGn4/24YPy8arybHMiXfW6/r6exBoY3YZWCoy10iJkQhy3ijb9hSYDDrtNo4fP4arrr4K4+Pj0LqALgrMzJzCS8ePYWhoCEZrmxLv1t1LbjIRLuHiQEQYHt2A0dFRsDE4evQoTpycxczsLIhyUOZFwcQoj6PXTev7bxgEwxlOFHUsvaTx/MlTqCvjnBoCaQDGJt0bRdDOM1FM5VnqgZCGa4ths/AMA4YUoAisGDAFyDCUsfH3NjXQpDqWaCiOt2Ftl1ZHAcNNFMs/Q3v5EOZO/MhpVlQRa3PTiWZjtl3wLEM/VZy+yXoTpjyUwHjBzKByAkFjRBXwkUsDK9xAhiYBLaPx2MxJJ57Om/XhINj+R5v958M0vkz2XbpGEhFBUxR3H6oEwY6HKrzqKBRKIc8y1Gs1TG6ZxDXXXo2dl1yGl186iUMHD+DkyRM4+dJJFJ0mDOtQ9hA+8tWceIQ+ESftgzPGByNtyM+A7YSv5A0sIQNQcGHPJ8+dZ2bARgNcIIMCUQY2o5h5CTj5kg3PZaRsvXEb3nv3zrnPkWTtogiub8c4TyKDuyddPRvv/ilbx4YLBE/cWCHIodwQBvvKM58BmWGhM4HFluvvUnAetoEu2iDKQsgNQOgPU8qXOaba+6mbVpYI2whM5mSBMT7z0V9zF80A7PMMA7CGMQUWFuYBMOr1GjqtFgjAxo2TGN+wAS+9/DKWm8swxp4/YNfvUiqGNtcTIlxrhNHhIYwON6C1RqNeQ0YAGQ1O12SCC6IoCsYJ7t+uTCfYZz134bcWGB2fbOAnH9BA5o0Kc2JY4dKd49io6OS47EYfimICjAKzn3+BoYKhz6EpB7GdwNZ6ecYZSWs0bbNdw07RRNFRCpEbBsEg9NixKwvZEwlp9DboFh1RpcLYMiLl+mlsuEipzA02tuFZwPZtFaxtmZigyYCV75NR3vn1vgZMCJv5AyKETolcL6KzuTaiR8GbUK4Hy3u1RmXWE8gIBXegcoWsrjAxsRHDw0PIM4V6PUOjkaNRz5BlGlobKDdg2nbY+5Aau1lK4v0QJcy/8/9VdlsVPcjUvzbOENvL4mY3ZwDIwKxhCFbyGK5h4I12YfcfJpOlEJ5E+MgJmG+PkR8S771Ff1Vc5qe2x8ooD6WHC/sZF060nphCwX55HG29dX9Ytu0mBmA4t1Mwpam6TlNCZCC0oexxvJCF8FwieuxdXns3h2tByTgyZoahTmg+kCKAMuSNIVx++S6QIizMz2N+fg7bt21DvV6DLoaw78V9WFpagkm6A3zzScZxCReVMJgYlQ5sF36w4fvQnO5q+fWek84ZdEUonPgUISvLvjLy6Qkm9NX4RAQvf6EF747hhYMZUMS2dWv8/H8GRNq1sP3sCokX5cJQft/sZ22njuvDcOVWQOjgZ5de7bxIH95j39Huy+S2A+CEEK6Fq+wchbBJBobIzknIznPyRgYIdeA9I/K7cB97wQki7q8ER+MbtIyTPiaDsE/FTlGdQtvjkp1XD2xnhjeMdquNhflF1GszmJ+bxfLSEtrtJki1kOft4GEyZb54zsP0hrV0E4VjelEh1++olJ+J3gp5nKdQubAowTCh0G5ZHCa3orUNAUMbZCqHogwZKasO4XalcB+G8oTPEcRMBRGwKbXGNxA4D15k5kPHYDAROtyGZm1nx6cMvq/M9ybaK54hazRAWe6mqHJnZ2zDBP5+dBc6XOvkufIfcDrw13DXrDD+rmYAptMCig6UboPYRDF0MV5739uBxSrLsWF8HAvz82g2m5iZmcXGjZOo12rI8hxLy0tot9vV3oHgxUKES7hYtDsFsnaBoijQKYxv49nWtLEt0HRMVHkiznjjpuJlANsapcJ/C4a2HeqsADQARjBavsmp3UBY+7TFUAkz23nRvDXPALDrP/LJFwQbNqTMGlbWyMhAs+1cz5G5FivBUA5DBQx1YFTHtX7tsXPvocGHJCl4gMZEgUJSJ2G2V2e+bFkzABkKKqw4k0ZNEahQALvBxkywGXGZDZcyI+cCQx2X56h8kIiCd+PFjYFQ/yr1jQmIuurdxxD8ch6g+03hjBop630VjGa7jRcXX8T87ALGxjdgaXEBc7Oz6BSLaDTmMDJSOCdGgX0GKdvylg0ch/vCDl7nKLJkGwiUdeB9wSz35p2gVA6jCJ1CYWmphsW5GgwrGLZl1eRkwDCGkWMkG8J4PmRFAQqMPJSBYoHcJYoejFKxIQBX30wEJgVwHpoWNTCKQlsvsVHDzPJJLJklLPASVOYbZv7et9emVRtBY+MU8tEJGKoBzmNTKOJz4+4t5UPsYa5IL4XJJL9OLTL3O/+bVDwUF2ieOAizOAOlbQPDP8tESdeyew4ICo3GEE6ePIXFpSYWFhcxP7+I0dER1PLY7+sHeqcTHlWbquuFMxKue++9F3/7t3+Ln/zkJxgeHsa//Jf/En/4h3+Ia665JmzTbDbxyU9+En/1V3+FVquFW265BX/6p3+K7du3h20OHDiAO+64Aw8//DDGxsZw++23495770Wer08dZWYszM3CaPswFe0WTFG4SWhtyivYtsLDDO/UPSddt8fFLizSAPMo2Ewiy8fBlINJgSmDVt7oWkMO2H98KIyYyoNbKxN6svd4mCphF4IpZmGKE9B8EFAGRHYmccPW6zEZQ492MLptCFtfsx1tZZJWLZeMWRgNRnH/6dkTYNeHcm+IbCjFelsZiAysn6BB8zlmDs3j1IE5mDYFT1C5EFhmOhgr2riuPoyJTGFIMTLW4dDeK7TXzgpTqqPhCzgZJt9F4/qT3GwYBEbmPL8OCEvI8L1WE/Os0TI5jMpwYuZlnJo7gYwLZLyMSzYTbr11B3bu6GCobqBST9s7Vqmn5UuUXEMK5bfXllQ7GETFJnhi9hoRXnpZ40c/6OBb3+xgvpOBqRZSVcCM4SLHazdegsvHd+D121+DzLj7BnnpkpX+SjwUIjcJM6wH7+9bkB3K4XphQaRRaCtOTQW8eOoFHJ4/iqdnnkeTOIToiDUyUuCsBrX5Coy87q0Y3nE5itw/I9Zr9O5xaBR211ps0HUpBIUtg24xQGxQ6ywD+76H9tH96CzNQZFBSMxA5nZKUKygYNBuLuJHP/oBpqZ2YNeuXbjyyivQ6bQxM3MK+/fvR6E1olj5jFHrpa4/X8tyRkrx6KOP4s4778Rb3/pWFEWB3/3d38XNN9+MZ555BqOjowCA3/qt38L/+l//C1/5ylcwMTGBu+66C+9///vxzW9+E4BN237Pe96DqakpfOtb38LRo0fxa7/2a6jVaviDP/iD83+GA0KhNTqFFS6VZdgwPo48z5FlhOZyE+12G61Wq+t3/gG3DcGqKfcOSQbQMFS+BVTfCYIVLtvctmErQubiPumvq39T+Ql3x7bfUPDOQviHh2wnvD4GQgdEGt4VIScuqk6obcgxtGMIKteJcJm4vy7KYadYlES4gvlxBloBihmKDbhOyGYUKDdAO/P2C0R2GqEMhCFmbFbAJsUYI58b5sOaiRFxVZB6WlFwo2EmRMGzfUNxSiwmRhvAAjGGwWiC0Xb1WhTaeZ4GWVagXids2wJcut1guGHCfhBKlF6W1AT3qEO/YegPM064bH+hAVmRNcCBDcpNwsLhZ34vioChrIYNtWFsHZpEpt39gKx0vLT9Y4uXNsJseVMv0fZbeTG1fZSabQ9qExoz9VGcyoeg/HHIX23v+SqoWgPZyBiyDRPgmkrK4vvBVl4wJzxRfYXL7c+fizFQnRqoMQzkdQB+hhZf3U7CkkfVGIPFBTupNsCo12poDDXQqNdRr9ddPgeXnofkqVuXbtcZCdfXv/710vsvfelL2LZtG5544gm8853vxOzsLP78z/8cf/mXf4lf+qVfAgB88YtfxHXXXYdvf/vbePvb347//b//N5555hn80z/9E7Zv3443velN+I//8T/id37nd/D7v//7qNfr5+/sBgjNjKKwYaparY7t26cAMLI8x/TRo5ibm0Wz3YafiLWrQzYJGyoVFqqw/zUKlI2AGltBjStAqMOPW4lBQkr686lsYPwfJV10HkdlO2b/HwNCBuI2gGEo8gacQVlmhU0RsjxHbbSGbEuGvOb368IhaQZWerAeRSnVhxMw28fEsONncjsXoCGYDoOGGCpnN6DXG1CbbJKRwjDlGIfBJgYm/KBkX1v+UJwYrl4F8x9wYogr9WhDtow22eSYYWYsEEGpzK61RXbvBjYES5lBLVtGI1vCUO6TVlxfWyImq4Lj1sY3KMCuTL6/KEeNMuRZBs6U6xeyyTbsVrqGS2LJANRMZsctAVDJGKxQqvTck8/KZXYefNL4stvm9p5xpaurDHmWA5QDLhyu/PhE2IaZXXqNbSarb3BQOiQhHplR7V/2183/rNpESM4peR5YWa+alc269JmtgA21K4NyAg0DulPg1MkTmJ+bBYhx9dVXY3x8DFpvw/Hj09C6QLxPk2d7HYoWcI59XLOzswCATZs2AQCeeOIJdDod3HTTTWGba6+9Fpdffjn27t2Lt7/97di7dy9uuOGGUujwlltuwR133IGnn34aP/dzP9d1nFarVfI25ubmzqXYa5Ki00Gh7HpbftXjVrMFpQgLC/NoNpdtGvJp7lS/PpcXL2OAzHlY7FLIGCoJlSShv7T5VhEC92HX8VLh8jJh3ztj5foETBgr41KKlfXQWDOMNi6L0bVIfXiy31G9B8OnrY7KudlzIZV4Z8aVltxxlBvY67K/uLKDkFTO3aavWs60fcxJ7fSvRUCRCqn0vkzsQoDaGGhtbHYZp3LZ//qcHgaQ2WtTbZwgSg7DZe+RzWSzHirZ8irlt3Dl9h5ITE5ZyffrRygOlT+NUuhn04jnwq5cIAVSmVsYlJPb+RWy9N5zZBveV+4eM0a7kDyFxyOv59ixcweuu+46bNq8CY2GHXB8/PhxTE9PhzT9NAHLe4rrNVR41tMLG2PwiU98Au94xztw/fXXAwCmp6dRr9cxOTlZ2nb79u2Ynp4O26Si5b/33/Xi3nvvdQMx7euyyy4722KvWciFSRTZmSaWFhcwOzuD2dkZLC8vo2i7wZvpGKY+GGOgtU2ZNoZtcoe/+dMWMMe/ozmIJQpPFqLxDC/vSCT7iD/1MRv/+1jW9PfBG+lKl0JpnyWvr3KY+Hccd9O1vS9GyIj0RaNwLEbsZykFXan3q+cSIpVX9bsepxCXg/FeR7i+cRkbdsIPdw3sbPvU8wBnZJZ7FDjxG+A9OZ+MUr33Qnl9bXHi+VL5jorthpVKSF1/9arL8HnSgPHzcNrrmNSh8WVN77F+Zag8W0kWYZ8S9NgXx2vo/g4ZlT1PhNBoDOGqq67G6IYNWF5u4sc/3odOUWB0dBTbtm0PjVDAP//xsVnpbF7NnLVw3XnnnXjqqafwV3/1V+ezPD255557MDs7G14HDx684Md8pVGkkDlPidlgeXkZCwtzWJifQ7vZhC5cZqCzKf0yCf2DZ9zClOzXl+KqsetlkZNvvbMUjrVSm7msJmnyAsiJZWowEjcizJiQhlr6HGElo1dam8lnIFbENz03+G0BgLhiqhHGmgFJHXAiNMkxT09i6Pt81/1naBmEUvmvy95DHGOXikO1bCVhL31HfZrt/tjlcUjptEyhMZOIRlqyqgfumxS9yufbQFw5137FIo73A/vGWbin4CZJ9p917+1cDH5JwPs0ILuyfUMjLH1WbX9ivV7HpZddhnq9gbn5efzoqafQXG6h0RjCli1bUKvVUBr3xlw+7DpUrrMSrrvuugv3338/Hn74YVx66aXh86mpKbTbbczMzJS2P3bsGKampsI2x44d6/ref9eLRqOB8fHx0uvVBIGwYWwM4xvGsWHDBoyMjNo0WEYY0+Nv1PSxrg5A7vbCnDdFsOs6ZdT3Qev1u/hKJ75NP1Ol71LRCZ4de2/GQLvU+XRDw6mwItnDucPJgcJhE1H1C0VWqySYbO/pnE8qu6t6JIoo1GhcOyymY4fMzVLiSj+5T7bodx6uP7IsPqnBVS4cmIUy2jpzwuBWLjDGhAGydpvT15sPa5fLkp5TnyJXvqtKHcGGMOO8jcnezvP17CeJ3RGMclkZvoGpsbCwgG9+85totVvYvHUrrr76auR5hvn5ORw6dAiXXnoptmzejCzLXX3FUGOv+3c9cEbCxcy466678NWvfhUPPfQQdu/eXfr+zW9+M2q1Gh588MHw2b59+3DgwAHs2bMHALBnzx786Ec/wvHjx8M2DzzwAMbHx/G6173uXM5lcCFgeHgYIyPDGBkextDQELIsD9lWiRNRaq2qSmp6dYoaa4jSFrObMirMOF427PZ35VepkL28s8QrSc2w1Qdb6OhvqNI5+BBm8HNCZ3j1f7FlfzpiKzh1X1xLHACYbNp8KRXQh5yMEzN/zHjs8xmSCeO7vOfmP6ekpW7SCXKT4QDsxrGVfhlONNRBr4ZM+nn0ons1GOIQZOs1uamdfMID+fFsbp8mrSm/B4ozl1QbBklUIIblKqdTut2ocqbx2sVnIXPXNSlTj8bQSitJn26V6V70kibvwduie0+J3eKS5eP5eKc2BvPzti9706ZN2DA2hm1bt+G6a67BpsmNGB4assdi36WwDt2shDNKzrjzzjvxl3/5l/ja176GDRs2hD6piYkJDA8PY2JiAh/5yEdw9913Y9OmTRgfH8fHP/5x7NmzB29/+9sBADfffDNe97rX4d/8m3+Dz3/+85iensZ/+A//AXfeeScajcb5P8MBIc/tKHlljFuq27eyuRTqSsNBiFuU6Hpgyf8drchqWsRVY7bylq755/u0EqMTPb/oASYl6tKZ3uU4zfFX0+ysnA6535Vbx4lx71Os82Iy+hWX2YXM7DWuSAEA38dV9Y3OEjrNWbLzYFRWug+tS+jbBIm3ll6q9Obk3uUtX7fkB37gO1UmmQ4iFgWmq28TSBpCfVzcnkXsNftMv7L23MAd29/2tpFkZ0BLnkVGOAf/YZ5ndu5BImycnMTIyAiUIuTKDghntxyPqwIr0OXF0NcVZyRcf/ZnfwYA+MVf/MXS51/84hfx67/+6wCAP/7jP4ZSCh/4wAdKA5A9WZbh/vvvxx133IE9e/ZgdHQUt99+Oz73uc+d25kMOMutFvxsE4ZjzwKIQtKAT4Wv4r2bFZM2kmmXomR0p72TC6Wd9fxnznCVDC6Rm9In+YJs6JKSMFV/SThXqfAGDt5psbMXJFP22LlKfAvY93PhrFbyXX2JLNF/Slr8SoU+xlSkmAGjgThLf9o4Wamkve8dX4Lqb+PWhCzLMDI8DEULdmu2oUE2JgwvMszQptf+q3fYaolCWA4Dun+9x5WIuXHDGeJGHK2839crFFfzfdZ2GpA4j6cnvd2zTGHLlq247LLLsHHjJGp5BjDjyKFDePL738MPnvwBWu22E1YVPDWTRCnWG2ckXKu56ENDQ7jvvvtw33339d1m165d+Id/+IczOfSrnkK3oY3t16plCjt3TGGoXsPPXnwR0UuJcTnjJt8Nhs4/lNWwjP8v+67yaiu0l0Hp1QqvhpL8p/YJtLOMG9c69Ee1MwX4kJKdMdz/iu2Ep4ZD6MyEvcN5RPF8+izusgr8rO/GjuMCwSgGK+vZKJ/eDfh1G92yLios8wIkAuK9IcSaW2kGk5L3S9Fr8nM9WnGkIJB+HkOGHfNDbrYU8sIKZZf3cNJCfu47RKGpnn/0JaufV++H1B2IMzEzd2B0EwQNPxBNwY5TAjOg7aDqdO70aJep69r1Syw6LZQ0fNjO9mL7siiGoMOJuplmjAl9mWndnIm57/IJOe7Ne8bpxuRbGC4cap89II5bt9fPe4VsGFobEOWo1YYwNjaCxYV5N1KDwuw0/vqHxV/JJJ+vL9bnHEtrDGa49HU3OalmZ+dcaC3dMFpya9wqD02vdCNOvqMwuSujfxfnGTzWXfGh8rDR9MEqmw/XVA/nlHpjsQxVo9trSfUSaTSLqh87LzN0MrmNvL0mxD4ZSnoAOSl/UqCVGnKnDyu5f9IyMkJAkJ1opx35voHdO6OMen2YHqrn51T6rmzYY7DUzjkZ3ITUyQOF0GaaNGQ1hsti449EPTz6bqevzzkgOX6176t7J6HPk9H1Xc/jnOa6rfRt19Er7T9bfW6rxAEmUqjXGzDGzp5DsPNKEhHqjUa4kasav567uUS41gSMTsegk2swM5rNJg4cOoSTJ16GypVdv6lPGDC0/nrcxczGrdVkl6RgY5CdpkOp/3Pb7ynxj2uvH7osOKZSX4Wf1snOVOF+Wpo1N+7O2xuvt6sVhF4fEXujalvoSnmDEFvsIYUaXjR674y5vw/YPatJ/C1XPqvM5GNDquxSzbVbAsZLiL8P3KTLtubPzXrF5kH04soFd9NzJYmlDLYpl+Q9h3Jd2ZAw978t0MfTOo14gfsnylsnkUMmph3I7ef+j72YK0ak+9C1+UqKkTaGKNk8NHRsQ4Bdo5GIUKvlmNq+Dc3lZZw68TLqeYZWq4ksU9i4cRJZpkAKYfWALkVch5z1OC7h/NJuLaPdWkan3YTutMC6sHeqZrsSAidPQkIcs2VKBjPMWB7WlLKuRHSA+rfQy4as93F7tel7Pc7KzfVU6t8Kz523hOSLV/LWwtnw2T2mK48Iir4N2A03qCRkpDmZsVT+da7N3cR1Sr2CxJtJhcAuWJl40K8wSlFyVVJPn0viYD9JEjVWUdpyluPpNkb06f3N7DMIXaatSlT2YjklzHFC7CDsSciSmOxQEDZYWlrCE9/9LlrNJobqDRDsTDovv/wynn7qabRb7TCzv92PHYqwnhHhWiMYYzu3tR+zZXNeQ2TG+Bt/FSGqrj4E9/Qaro6XSkI/1RDUKvD6F2xYUB5v3JLtgseU/j5KQFj7yv+8j2CeE6WyIq5onHq0vm/Ci1k4AU9vFV1xcDRQMutxH9XfJNcmXOd0YDXC52FLf93OWs266zkMtq6Uq3SKzkP1/axdIcw++z4/RI+4VI7THM/PZvFKJWjY+8j0frB8uYmQ5zk2b94MpQhz83PYt+8nWFxcQp7l2LhxIyhLx1Emu1in/VuACNeawSALax0ZUqBMgbIMTIAmAx80Cg/tCh3clChGHPNh5wSsjvb3/SqrJwaGGNxl3PpZUNv4tsYlDU+lLfVSZnY1pnYmJQwi1Ls4pTXL2Gc1Rq+1fzq8F5wzU4q+Rt0LaaJpdpLb+EMbpiMk7Y/KoU/vHfenhwef/MXpJz7ElnjrfiwhuRhcDMP6a1qOAHSPI+s+dq8Eo66yJWJNcPXj14lL789E4Ks7ScvQb8xbX5IGDirnE+8MCvvx03WlC0/GOUUzDA8P401vehNq9TqOTk/joYcfxszMLDZsGMfrXn89Go0hqCyzE/QqCq9So2adIcK1RhgbqWNifBiTE6MYHamjlrs8Pa1tyDB9MHqIljcaYWZ4Ihcysb8iAlQGVEeDpuG0lR8C6/fFR7MsYGETdB/DPmCq9OB6AWU3LVVp6/PQIOZq2Xz53Fu/4m7V1Ps5AsM+ehi/swsT9j8pXwZFFPplwBw8GTvfJANuALDvPrqwrW1/X8WiR0GviBC8zNnvumdCWeUFDQko5UZH6iWl14OSn4UGSOloPe6CFaosPcZq4cqr9Gm/YyXPGbPB4uIiHnz0ESy32xjfuBGbtmxFbaiB+aUlPPfCfmzdOoXx8UmU71bbGGU2Z1TeVwuSnLEGICLU6w3Uaja+ret2KXQCAWGRwu5WYT+RKc1RhxiVstMJhb2VfsMwyd8rhLB6H9HukRKjQtG8pHNAhPAGeQ/LLWHhM63To3N6ZE5+779b6YH1HiGFv2Npbeglna9PMdlVid2s9QBCYoktUCraPlU8OVofDyKU0nklMUCKkCwCAFB2mUsG2+QVFyZGOF2fmMHQbNxCK748fr7CpAw9b43Kh7FgYR/pQAf7fwKT9WiCH8V2kc6QoMJePGxoLN5jlTJVyuIzJ3vdVyYtkx+z5oWJGUYxwmBk19gwZJNWVFjsxc9kr0FcAKgjZsJUjhnOxftLFLfxn/UY5pBs5b4wIDZQrEF+5WN2qwMY77ByEkGJjbh6rYaNmzbhF37hFzA5vgFzs7NYnJ8Ha42i08bc7KwNPSbP8IpjN1/FiHCtEer1BvK8DoBRN4x6rY56vQFS9hJpY29e3xJfNc4wEBgghqLYak49JIZGMKvJGlXcx7DEDhf7PTujG75LE0VArgHqDYDP9nIYAFq5sWlu2Xgm+y5YhrQ1nGSJpWXzRomSJUTceCl/vnZNLicaTmizEMJ0ghH6uBSY7QBwZo0wviq4PIRS9VDpz1IrPNUIxYkmOeNmmKBJWcPkliIreYJgN2+lQaENCk0ojBv35USA45GCR9ZtXqvixaXt4mRPgGGFggiFG/Bshwok9w/seC4Y6/EUpkCH2yCT+xF98T5gqgw5ig0QL5z+PO2/dmMOY/AYiq2gGTA0GWijbdKCsReUyY15C4lMCtAFUDTBnSU3ns+NgYJP2Y8XqKf5Jy8slbKHWzx9TgBiDeosgzotkO7AEIXr7cXR1p5dosj/bmhoCI1GA1s2bcKuyy/HzMkTqClCc2kLilYLJ15+GYD1vmN76zSTDryKEeFaIzAKAB0wM7IcuPa6a3D1tVfBADh1ahYnXj6B/c8/D7fkXxfp2JjqrNsFaQBtwCxC8SIMNBg5gBoIOcAKTB1rRAmlrKye2V5J1oIKYkEg1sEAKlMAZgls2m4qm+itGCpAsILB3Aa0QdZSMG3t3RAobacYMs5TIU4Nb/QOKQ3lBeNiPSVyZTOuTvzg4qypgBZDmwJQCsqY0Kq3uXs2fLlsCAukMMtAzqq0f2a/YDQFI54Wg2H7IYKHkHgn4NShsm86BMwzo6XbMKyQEaCpZg04AYCGYY12B3j5VI4jR4cwPwso0wY5g62Zwckq1szRsNkXOceFkxRtN4sIMjArKLKrINtyKnRAmJ0HDh9uot0pwJwmCrCbPNlgtjWPo0rh6RM/Rb2w4mAAtItlWxsq9sf4XxuXGUdQ0MYOBTHG2GSEMPhbuQaHvQd8b29RA15enMFLS3Noaw2j7SKXzMZm4UID3AKdOormc9+HfvlnKLJhO/0SGwAaMXJNdiUF5kSAwm0dniubIBUfA+UaOeweCT8OMNNtFCeOgBfnQIqQUQZl7JAUe2tGFVSkUK/VsW3rVtSyDNNHD2PvNx/D9m2b0W42cfz4MXzzG9/EcrNlry+75oJr/NksyjNoyL5KEOFaIxCUXXmWGWwMjk0fw+zsLNrtDlqtNprNpm11JhPrpn0JfcOGIChmmGIZpngZbfMcQLmdrYEVCDYkaaiAy7tPOtvdPkoOVBpKAbR/mAm2FQkCOIMyDGAZ4HnAzANZxzX8KbRuDRPQytA61sbxHxxHMdQByLiH303qCtd/YWyzlZw3GIyJWxoCSLwxAuCEJvgazgCxMch0htZsC5hlt2KvMzjKtoY1EZZyxgHNOGEKjBKDyS/iSVCs/ApV1q46gfRzC3oPL7Tog7vl/nYT/XqRZmMNcpsZL6kcSypDm3Lvz8CaTIJGA3NLBk/8UGP/i0uoZ9azZFXY3RoCjIpOTrxc8KFR22emg3jY3yN4mHZsnWscsUYBQqvDmFsEFloNaKiQms/Oiy+gcRKLaLY7WHqpicxQEK7CFOEesuFGVwVeHCvX1F/nIFzkhQtQxnlVBOgMaOo2mrqDomZXrSZ/ByrbQAI6qBcL4JcOoJg9BkYtNGbgPLf0WXI3kTt2EiwMEQpTzuQLjQ9yqe/2WTBgcGsZ0B3XCLB+IuC9/OipMwCtDZabbRgQNoxtwFVXX4tcEV566Rjm5hdRaLbTvlVXBigHNtYVIlxrBZd/4aepOXlyBsemp9FsNpEGULpCPbAG2a7j1X0XE8gaItMCzCy0Oex2EacQsv0YGqB0rEjcFykvNhzFwA0ijskMLvzhxBBGAdQB0AJh2T6qRE6MjGvtE6jI0JnVmCvmoLNOOEZm7LIUYEAbDrF9lTlxd+EbEzxQ53GG6lHJAo1WJAzsGmXEBKUVlFYxTOgE24bsGO28hpd0gVOGochAx+gpMmeUg3FzwuS9Xi9e3vIx7FyNqYjAEMI6YCGzEeioDFplsD1FdpC2N1CGMiy1FfYf6OBFo63IhBa8v48YqedgD0eudW7LZ7Qvhfu98mILJxTWu7GenDXEmjVANVuvSWILA9DKYBEtLBUtzM4vxBXp2bdTnHcRRJ7DzBD+/orTlplwp9vGkAqzmSh29x2scLFLJFS5FUTlf6T8/WuQ6yZ4vm1lg+10SfZ6hwtXOq5P7w9l8CcS/GhC6Ftz97RtHJokKkpB4JQrhxf52LOVTE/l7lFjGHlex6Ydm9BcnMfMzIwbdBxrO00MWo8hQo8I1xqAmbHYXLTz57nWXYc7KEjDkI4xbYMwLZR/uGw6cvzbtxy9AdUwIMVQ1AZRAYVl1y4tEk8qeShBYPKZifE4ce5Sig95yfsxzsgSiDNQltnvYGBIW3H0ngkyZ5QYGQ2BNIA5IKMM2gWDNIAcGcjKYFjJVmUKRscl4oOgJq1nJoBzuLAQkLlWO5jdnj2EAhpQKk5b5GyEriks1eqhtVzAhRlZIfOJEYQw/5z1eExlvkVynowVV6WUSxyIizDCe222owg5KeTs1ilLZvI37jrZhsgGwPj+EeNmteBywyOtE7ZZnS62iTQRh5jAmkAqsy4n7ArcbAdoIFhXth4HXFgRgAurEjQIGtYT6uSuywlAzWVBAm69rqTmkakgaOFakj1EOW/QwCcoGQpOb6h0JoZBp3T9QcpFFOxFpTD5rw23hsaMOy4RQblGIblzDf1zoSh+SAKnS2UjLW30wGCXpXGCR4rck8Dhp6QQxp/VG3VcccVr0Gwu4eUTBYaGMiw1l1Cr59j1ml344Y9+4Pbj5ctf3wzrFRGuNUKnbdDO3VyFbGA02dChiROw9ooLVMei+H4CwBsDE8cFKwZxxz5C7kPlJpSlkL3oQzTkwjj2sxDbSKy1Mysug5DK35OBz8RTrNLnP3bwk4HPZQMrMCtkfq0wti1Um9af2YwxIBph+HNy6hvimgj9NyYY+rhEDBn3patTL9xeWHwhyQm0YWsE0yQGDVOa+NT3A0YDRkG44AwokdXR2Avo+tyQuVChzWos4KZRJQaHXn0/ibE1pNorMjlv23mm3s76erJeuLfy1uuzWYsqaXTY3xFsNlyckJZR2FK5HWbwYWXA3QK+IWJswgsDMKR8xBkMgiaX8ef71bwnEhxQCvcYA2ClwKxDndr+VpdjmGSBss+uYysGKvSfEXJVgzEG2hjoogjXpeSZgkPDx7fgwqzr2oSyes/eP1t+Jhh/2/o+rjScTgw35RQhy2Jo3+b0OoF00zcxDFqtFp796U+xY+cODNVrmD01g3arhVMnZ7D/hRehC3b9lQBRFsvuPTvp4xIuFsatdAz4B4Di6zQhgeqgzizLYhjBPWBKKWTKLk8B5SZGJQozpofxQ6CQiuw1K01BBxAfGiQPq/KhR2eYXD+DNgVmZ+Zt57fxWVUW5cIn9foQRkY2JIKnXes+A1FmDbDvg3ChLFsOBItRrSG/GQNQlNm+DRdCIzBarRaazWUXinW/8RYI1qQMj4wir+XI67V47q6+bUa9FWnumh0hGmNPNNRWpBRsYksG21/mM+WWlhZRtFooWi0APkPOecNsDVWtXke9UXPhRy/k5PYdPS1SPoMuuW5OrKyoxYaPCiHJ2PNje2PsdSvaBs3ljjPw1rMOU+eFcyRkec2WieH8ZZtM4e29D7X1Eq6Y6KBDfSpSod5S99ankBtjYIoiNiLc/UeuDEab2P9UEa6SwWeEgd52pvYY+vXHM064ysOrezybzMhUhizLXH9guHNCxmPYBwGFLvDyS8cxNjoMYoPm0iJGx0Zh2KBTdPzFAzjWWbX46w0RrjVCSH92D7ci2yeRZQpGF24jxOhPkpThX1prEBHGxsbQbrdRaI2i0CBWyLM6RkeH8dqrr0JebwAqs+nBrlGfAcjc8uw67d8iCuHIap+EH+BMyq4ppFQOuKVManW7wnGruYxv/p+9aC4vozAdGO7YUBLZdZ4YwMZtW3Dd69+IPGsgI0CRnYvNkFtxV8U07VQM/OS4aT2EkKI3eIpc2NLVKWxL+NDBA3jh+edw+MihUtVawWN0tMbVu3dh69at2LJ5a/A42fVT+L6Q1HNJr2W1nJnzupgIJrdG1fYGOmOsCJqAH//4aUwfPoRjR464VnmEjUKtUcf2qW3YPrUdjcYQEPrCEhNaEXJyZQi9KyHe5pMQTMhy9C0dm0CQATBotZo4dfIEXnj2ORSdAgQVQoMAQ7mwV57nGJ8ch19avjSeK7lOoZjwp57OFl/y+8NHTFQ6PwAoWm202y0sLyzExBgwjCng+6U6pkC76MQoRHpg2Gct1FY/JSCUGgAr4spWqwE5E/Ja+h3F6AfFetFG49Spl0EoUK/bH+zZswcbJycwNbUd+/btA+mO+4EJDVxwFgR8vSHCtUbIySBX9uEyzBiq5xhuNNButUA+8SK5QdMQYUgKcK/FxcXQVwYADI3x8RFceeVu/Jt/cxuGhodhV3LKgufkO+rTfXuqA5r9f4LHFVrT7ku2aexaG8zNzuEHT/4IRdFCUbi+nrAvhXqthssvuQS/9AvvQL0xFGa0APwYnlQC/MmXy+CNgA1PxXFI5Qnno2VnZowO55ifO4Gj04fcVFjWQ/GTmWaKsH2bXdzvkp2XlPpWfOiwu3Rceu+TRXxY0FeSobiVSjwNbQxOHjuK+RMnrHdKFBoJdvyOQZ4RRoaHsWlyEkNDw7YOwvXhpAQrGOGuN+kQi7T8NiTXbOYwRQtZrtApGNpowDUAvBen8hxZrYa8VreeHqJggmPJKPnctgVCzM2dQTyXUknT7Z33YxSF6czSGTUKbTNNmRDSxU04ejzFeHsk4rUKqPJHVyIMATZxxnn4SYMzUz6Bxzd/MjAT5haW0WprqCwDgzD7T4+BiNFut6FqDeQGKNodt0ZXGr70HuX6QoRrjZDlNWRZHmL7I2NjaBcacwuLdsofuLh74ml5qkIT0uSdlSAAeaYwPNTAti2bMTwy4gaI+uXYCdF4rfAQUMnpi8IF7xGxd0xsh31hDUitlkVvze3E2nA7k3e9XsfEhg1oDA9ZL45Sk1IpUcWVCGauUuxoXMrjvLy4j4wMo16vJy1w9huE+s3zDI16HcPDQ6XpqkodGn2FK4ZuY18KgkFNy+mzAI0xqNdqyPO85BUBSZ8O2VBwnueo1WpJLblj+uOdEdWZ3+LAWGOsZ5xlefRqk7L7vqww955foddf51BFiWil0ppca1+D1etdbn/Y4yt/nqnOUelnyT1BpWOW9p/0XwL9667bhy3vAuF44UKXhI2CPKbJM26uwpFRXPe616Oe52AAS6028jxDvZZjqNHAJZdcgiOHDuPwwYNoF64fvOo6rjNEuNYARIRaYxh5rQFtNIiByU1boGpDOHz0eEhMyFxWV8lUVsJ6/t90tH8wGC4zjJhdH4ObuieYi5XXGS4ZnPghkuB7EC8FnwUWQ42+pZhlKjEQzhthA+U68KlqGPq+SevwdKWOxseXKcuyaPw4hhl9Mgxru4ZZGOCZep49hh/4pBEvROn1SMsdPBFEjxmw1yTLbJ8eKZWklfvjpNe6HL5NZxQ5c7p/lZ4yuetIrlxB3DkKL4X/IayV2CVCZ1SUxC0qq1C5XpNjdIlSdLF71kt03HvXW7908yBiyTVOj9c1HKGyTy9bRIS8lmPjpk143/t+GbUsR7so8NLJkwCAsZERbNm8CUYXeOyRR/Dy8WPomKbNeTJJWv067OwS4Voj1HNCLSdk2maxHTp0EMePH4fpNG1aMmxYQCnb2dtzzFbaD+X7NNiOddKuv2slevg3ZwU5ISACMmU9Kp9d5b3B9GErisJ+jr66dN6pTkgMIITsguDT2RuFs/ndSoY+eDqhqK98aztNALJL0nvNp+7B8E64VNJs8P/Ywdn968ffhUSEeq0OXRTQRdFn2/5iXRW48011v6XGiOp378RklHTqM6M1nt73E2itsfvK1wIgzM3O4vlnf4q3vvnnkGd2NhW4JKf162tZRLjWCCGTUNmObWMYWidj+zndtkf8n8uhKZ8azPCZTEAY6JoetxLe8r9fuazJHpIZ6N0H9p3znErGPyljtdzp56ebDeRc8Mf0whVnIl+5Tqsu3bkKR1W843Htv8YYO/6sz2/PVzl6kU4f5t+XPbukLPZDhH4m96JgoL0n6L2j7vJWPwn+JTO01giDkvudK5V/Z8vcHT5Otzmbe6tvHfS8X7n7WKFVFAOjob4IqOU5tNY4deokiDIUnTZGR0eQ5ZlbxsTfj/GeXIfOFgARrjWD7cfyt7MbuOlELIY04kPiZx6oGpmQ3pxMDRWMBqc3fmoUOfz3jJ+DJBzpDhIDj4mAJofpetD7tR/7GfezJa2r1OMKn/U4/mqE4WzL2CUOQMjUTJNrwrZULtOZ1E8/o7uacqX/9tpHD92P4oPSHdyzvKX7u/JdoQu4WY5XaNDESIGfRcZ7NmdybU4n1v0Eq9d7398V9sPVBh/COfnPh4eGYIzB7OwssizHyPAQtm3biryWh/7tOFxhnSqWQ4RrjaB1x6W9EwADNgVgNBQ0oDvwUybZiT5737Q9Q1vkBkO6hedQavlW+5LOJlTYvR9mg3ZbQynboV+r1VCr1ZDVcnDboCq0ftbz2Pq88A+l7+NSStk+RJN4t708wZAedmFIGxy+TzB6M7EIvTzU1e7/rMKXPY7X3Wt49gSBo/6m2IfW7N/9BDjeu8aYRLzKz8T5CYavgqSfi0t9bFwKTtjIikan08Hc/DwajSH8/L96R1igk5ixtDgPF7t2P4t/a23smn3rDBGuNQAzUGhGodndnwqgDCAFA3JLm3DpYYi/rXgvHNPjAe/52BR7m8bs9lGyEtEQrca4Vb287u8VajU/L6F9xoxbYbhkSJyOMjOKQodzu1DC1TfNn1CpMyumNkzVO1RY3e+KfTar9HZ8v05IaKmEh8+lz+1My1b1PlIP3sYGVlOOVWyTbFIS6tJ5riA3Pbw0L1p2d+XG0BlFFVJP/DT3vN2kezzair8hP9zBNqLGx8ex3FzGN77xTYyOjmJkeAjjG8Yw7gYj+2OEB8f9llTvkPKrGRGuNQHbNZaMtunEmYLKM9TqddQaQzbvT2sUnQ7AsXVVNZhdD0nlu9iB3v0wxVBfbxPRozcmKX73+CGl7Fx0RAiDejlMrFoNJMVpqqrncaH6uUrJGfbDknfFWH2o8HScyT7S/sk0BGtF7dzqo1c5Vlu2WC7XGILLAD2NEpy2tNznjdevShl6e1rlbcIuKmFVt0F3XLPHb0/HmV4H73Wxi5wQ0vuQkGU5GkMNLC4t4vn9L2ByciMmJ8ahi60YGR6y92RoYCGctgpj2dYXIlxrBNNZBncIrBRgMmyaGMHo8A60p7aiKAosLCxi+sgRcId7Png9swxd5hLcQMiiKMJcdKVbPTUSpc6GZMu+z0bawqTKZ7abLsuotPaRN33uzG0nvHEixnbZjXTy4AuBD8kppQAVJys1xo4987M5+L6lCx0qBNz1CkMH4udpCBM4MyE8X8SEC+VmQnf1oZKrXgonrp7zUas+nBgEIglxnq/6Ol2kobI1qrNtuGl2QXDDHciO48oyOyZveXkZWhvsfs1rMDq2ARMT49i+dSv8pFf+CfMh42T2s3WHCNcagJkxe2oWreUmfHyoMAbaWIPe6RRoN1t2vr4e4TQiKk+sG/ccrILvQA9jSFYsUNhz8mG1P8xv2t8/8wMu0yQMNm6Wa18u5wmm5e/VMX4uCRC99uE9LmPizAPVcFwpqeQ0h++VLXk2pC3xavn936UQ5hnSs4GzCkGMYsql9yuV4syDiSuEY0+zn9P1j3LcsP+Rkn5G5nhn+xDmakK11e9DmSrRTmYG3ByXNlReYHFxEQuLCxgZGcP83BwWFxfw8vHjuPaqK+2jnN5Xrg/URg7F4xIuBgzMzs1iuVmH90CgFFSWY3hkFFlei+sXUdlarDhWhXzqdyVUuJLR6/NVX6PW55kJzym5OHwoN3cJQVfn/1mEYVbz26ph62Wwy8apVNFnVZ4zwYt8z8y7initdOzz4alW+0x9mDBuYP/j761+ZUn3db5J+yjZVMtQKW/FY16pjqvbxM/P3r2JE6uh9ExWG352RvkMRVFAaw1TFJVy+fjs+kaEaw1g2ODI9DRqWQa/VlJWr2FswwZcumsXNm7cjJmZGRw/fhxsdJxkE+WHLTUUvv/GrwFkByB37FpL5zG+4OPtPU2TM3hZns5Q4by0SndG2scVf37mBq+XOPXyXtKhBHasW0W0CMHIXGjSY/gQaa/66OV99erjXEm8VlunvUU+BKvch+l+z12g+tV1r8ZGv99Gr6R3RuFK+N9Woxf21FdzH4QbHKlnGvp1q114HOsxz3OMj0+gXm9gaGQEzWYT9VoNE+PjyN3UXmySPi5mt9bbKor1KmT9paOsUcLyIm6uATYGutDoNFsgbaAMA9otYe9u1mqYDYgPSgyB+c5bgtbGps++gnc7gWKWVyg3kiVcGEZrFF0tywuPWiEby9frSt7E+UzcqBrefvs/n302qy1b+NuFCk/n/b0SwxkiHMJ4gL1uWtuVrnUaflYKKstsBt5ZlY/6vBT8bPi2OH4ux+7B9+mQD79Mjy2vtrPcLy9jdnYWBw8exOjIKLIsx9EjR5PFYwE/iYAvEV7B+2EtIR7XWiGNpJGfvw82zOanj0nDC9zb2+oKd8Qt4nfpJmn4rvyD1RNamL1+zKVBtZRslZa5Kr6rOuw5hKhKKd6V6CW7ugqGxm3wihjkxHOpHu90fSznEmJd3Q8QEgPi/eLLdGHDgaXhCit4Zj4UziuE1KjPPvrVLyFOOtz9G3/7J+FlTjIwg6hS2LbrEK5elVtbxq4V10SmFPIQrUg9x2Rx2fXXvQVAhGvNwOQW5nNG0oAAZddfUnkOyvyg1B4DQnskA4RZIQDX2uP+HoQP39m9nU3pk/+mUChLfO7iNDXG+KXg+0/5VNpnNdafHL2r1JR+m3xMsUxhkt3kR0Hbuex1UXVPPvzo/lM1Rr1Lih4GsLxn3x8YvcHy91UvMemr78lqtKks2tU//P4rnqBBecb80jG5lKHaa9xX2rfjv7EeRfmYKxfchwQV7BIiSSg4+a8Xs17h165y9+r7Ol0Rerz3YsNsQJTZ66OUH9kYvg8TVxOhXm+gUa9jHos4cfIkxsfGsHnTRjczvxe9mMZpeHUJI69GRLjWCi75wnfcwrCdnVwbZETIlUKeZSBFpXBhb+xch7bvyRr/otBotlpot9vQukCNazH0A/svqh3wq6LqvsU+Iv+HDc/YcV32E+W2ta1TmPLUS/2OspK0xu/6dbiVcWsQg9mGenzJouFTLrSqYzN5hQIw9/48fLcCYV4FIhi2MxzZxTa98SYAcb4+H2pN8w0quQerJMqVcUZfVVr37L0s2LJkfn2rkOHqTpzt4p/2mhrfMYTqjVq6xr7sXbLWY9t+Z+CLm64UreJ5sdEIzZ9XMKRmV3GGFa0YPITKaqFO3QMaBLvQdtXvycmNyPMaQArLzRY6RQedQqPQdgIBVOprHeqWCNeawRkBgpvSiW0a/PHjx7G0uIilpUW02s1gYDzVe9a2wNLlzjn8G0OFzrjE9l4SMWSU/Jyupnj1eEmIzxmPdIIbYrZr9Do7xmxbit4LJAUwtJvuyoBZIy4PUi5GjPw4g0jJRu7pD+dDHPrySnXEUQjsEvScPPh+TTF/HZwx5upSxJzsJ/28RwUlHfCcGvrSJkkIzGh7PDa2HjiVbFdvurBJOroAWMXvKa4IkNZTqMfkWhLF7dI+z/Su8B5MUbShO22w8X0t0cPxh9OGobRG0Smg0mVrnNfV7dFx0sbpnnGiF6X7F3Zcoi6sQCgQmBSYTOkYXiDK93TV++tzVB+m7FeO0qZpSNOE+zB4Sk5Qme0K5aOjY3jp5ZNhMU6lMtTyGkZGRjAyMmKfYeaQjBWELh4xlEX6uISLBnurTC4EwEC73cbRo0egdYGi6KDVaiUdv2UDA3iDYgc35lkOhoHWbWuknEEuigKdTic8MHZCX/tARZJlzqvxG3jjU5l/zZ5E+MaXs9VsgrV2olKekcI+4AStO2g2l7C8vIharRb6xDzpu7BGFXqEuBJjqBXDd1wnARl3PoR2q4mi6NhzJXbG0693xjCsoYs2Ou0mms0lGxYjLwQGYAIlnlp6HbquLXOcPaTS/xaWqHDftZtL0J02CAYKCgy7OrNyVxBs0Gm30G4tIw8CEYXLlISrt4eTtFKsECYhpzi7SSxvu91Gc3kJWhf26rr7jJ2QwnlgRaHRbreR5XFAdwxjpd6XXxgTpWOVCxlqNRa3Un/tdhtFpwNj2Iolp+n57ITc1ks5Y7SHcCWua0nI0ozAEBHplrn0M7tadTLfpI9mUAZmxsTkRuzcsROnZmbt79gmKKksw1A2hC2bNgMEtJpNzM/Po91qo+gUpcfQnpe9BlxtWK0DRLjWBIQ8r0FlCsZoEFvPoyg0Fhb8sg4+sSGd9d3/oVyoys4CUW8M4YYb3gBdFHjyye+Biw4K0licX8K3vvktjI2OoFbLwUaDYRPwQ8PeGwjXyvNLg/tspthPkDzozOXviMKSLJ2iwAvPP4vF+TlrfAkhlKM1QWuNgwcP4utf/0dMjI/b/rD03AA3i4UJ5fLGxa8KbPuibH3leQ6VKWgg9G142BlpMGFhYQGzs3PgolMyOvYv6/H8dN9PcPDAz/Dk954ofa+19jY/4rxVDgkd0VSHhAFfT8wh7V0XOpwHEaHd6aDdbgNsz8m7qj5E3Gq1cfjwUbz00kuh7zA1+qlNTZ1Rm2nqygBOVipOswTtrCX2N8kwAre/TsdOAk3wQoAgCkz2Ws7MzHipQakSSh+Ub6EYcnQin36H6NWlJ0UqThzNIBTaz3WZ9J4R0BgaCvXfa+iAP3KWrBRQ6n9LGm6pZ9g9pMOJv28cuexF2yRy4WiyY7R27tiJ11//ejz9zNPodDqYn5vBY4/+EzZsGEFey3H00PPQxrhn0OCHP5jHiy/uR6u9CM0dF5HIwMiBLAdl68+Mr78zXqOwC3VAAWQAOzVMEq4C4oPhW54Un3wf6/cd+5s2b0Kn3bYhKgIKrbG4vIzHv/Nd1PLcPahJiChphbMLGHmBAOKDbgd6lh9sPyNGCIokwmUAnDh5Eq12C4ZNCHlYg26NxfJyC0eOHMPLL5209oqRrDpsyx+Nv3OagsGN4TA7VVRMuGCvLt4TSyJNnaJAu92B0bafoXqeMAqtZgFdLKHVbPuiABxDa0zUIxzZb2xN9KwMx0xLY3Q4D1IKRnvhy+CH6xHc8AEGmG19tzsaIO2ipX46Jio5COEa+evEXrzd7OnWbY/XmRHuta7+Tor1yShsYwLRYIPh7teKl+dPwh0gzUAMTg7gFsd2DaZKRMx7zKERQAAxuwiubYik6TOpN0v+ovl/0f1vkGe3WRDOcL6AT+Pz93uvXjmVTgkDew/nWY6pqSnU63WbgFGrYevWzajXchAM2GgsLy3i6aefRr1Wg1I+CSaWsN1uY35uHkXBAHJ7D5DtN94xtQOjI8NdZXm1I8K1JmAsNZcxNDSEPMsQglvOqDgZAZIHGOhqv0YIGB0dgR5qYHhkGEbXguF//oUXUXpIQ6s67rXrwUwtTLItpV+5lrLvYyu0Dq3xNJckGmPnSZBCu63R6cyFcsEZdm9ATBAq+53PZgteokpbxknJgwdpgo32ocIovxQPi+ihERMKN+6t1S6c3YueiT95nYSuVLmawgWKnjHC7wneazPBSNk+LXcuZMOE5L2I1NFVLvkmlMeGphQQujSr2pleJzZ21rwwQ27Ja4t1UrrWSd+gFT8K37IXTPd9wF+vUCfuvvM3Tqg7d1R/rq5xQ0E847OQDoQO9dZ1tgnlNktSOaU7oNTYoOr5hxB48n3q2SLeW2TlKPZdEWF8wwYMDQ0BRBhq1KEUYXFh3nrnRqNddHDo4CFUG4vw9wHHRovKbFQlyzI0hkfQaDSQZzE0u14Q4VoDGGPwve/+M3btvhKXXno5gDjjMzsj7nuUglkIncFw2wHMtiO301FgNpicnMDb3rYHzOwGObbx5JPfR6vZtP0VQWyCWUEcaZWsbOwMSdgovLWZj4ANtfiWKTGgWVWUVTl76HrAQqaFP7b3Yrw1cv0EJcmOrfKS5TDJW6oYKYrNaH8a/gxDX1vYnmBgYrnZr5ScmEb3h2FfW8G0JntJNg1FTcweRY/S6Tt8Qo413N5ou7ripNeQrdgj5G2w80oN4K5Bd4c9lf6kzG5P9kSiQ0Klkrvj+dCdNY5cEv6YDBJCj36AUehnqqyQnaRzhxqhRDxZla67x9jClOqfyIeVOZS9fNqllkJSDo7lTOjdICTEyTW9wlL4Kj0oJ/sAA2zscj0HDh4K11tlCuapZ6C1RqvVCnUaJ8OJDQIKDVhyuUAElecYGhrC+MQE3vrWt+LP/58/w4+feRrrDRGuNUS93sDI2DiWF+cR2m4K0E4MQtuRAJ9QEJuGPryn0Wk38fi3v4larY7l5SZseMouOtdutUKfCuAbxT38tqRTvTRlDcUHC6CwFhADeP7559BqNSst3NQQ+DBLFe5+SyXfKTEInBikUMTTEAUmOYWuMoa/KsUpd8azM9zlg1e9qq7ylUK76TZc2tT/gHp8mpYn9WC6jut/yd2fdxVzBWelctCwfTl9wXtNlRJ3FaDkr5TdoGSTaj2U6VVYKgmXL5/3ADm6ZSvvpvTlSs/DKkqVFMf3a8XdxPFwK40rS724cjFcBmItx4+efAIHD/xspZN51SLCtYZotVqYn5/F0sI8tm/big1jo3ZKGPb2zT/tPlnDp/lyGMzrP2m22mi1OmHf7FpuE5OT9r1/wFF5IN1/8loGn5L74gvP2yXUkye03J635Tp16hRareYFqBlBEKocOXzoYhfhokE8gIMA5ubmMDExcbGLcUH5//3ah/Gmf/EWFFpD63iJDBcxDAP7D3N5Xr08z5OJeH2nvYqzLqSRIyovRKeUgsoUxsfHkec5dKeDu3/zLszPz13AsxUEYb0yOzuL8fHxM/qNeFxrlP91/9fwsxdfwB//X/+9FBaKsxOg3EEcZsoAACoHZkJYsepd2fc/e3E/Pv7xO+N3hJCdx8xYXFy4YOcpCIJwpohwrVFOnTyJF154Hv/nsUdKn4fBldVQfOgXSjqoqdSz030Q9/2RI4fXddhBEITBQkKFgiAIwkXjbEKFsh6XIAiCMFCIcAmCIAgDhQiXIAiCMFCIcAmCIAgDhQiXIAiCMFCIcAmCIAgDhQiXIAiCMFCIcAmCIAgDhQiXIAiCMFCIcAmCIAgDhQiXIAiCMFCIcAmCIAgDhQiXIAiCMFCIcAmCIAgDhQiXIAiCMFCIcAmCIAgDhQiXIAiCMFCckXDde++9eOtb34oNGzZg27ZteN/73od9+/aVtvnFX/xFEFHp9Ru/8RulbQ4cOID3vOc9GBkZwbZt2/CpT30KRVGc+9kIgiAIr3ryM9n40UcfxZ133om3vvWtKIoCv/u7v4ubb74ZzzzzDEZHR8N2H/3oR/G5z30uvB8ZGQl/a63xnve8B1NTU/jWt76Fo0eP4td+7ddQq9XwB3/wB+fhlARBEIRXNXwOHD9+nAHwo48+Gj77hV/4Bf7N3/zNvr/5h3/4B1ZK8fT0dPjsz/7sz3h8fJxbrdaqjjs7O8sA5CUveclLXgP+mp2dPWPtOac+rtnZWQDApk2bSp//xV/8BbZs2YLrr78e99xzD5aWlsJ3e/fuxQ033IDt27eHz2655RbMzc3h6aef7nmcVquFubm50ksQBEFYn5xRqDDFGINPfOITeMc73oHrr78+fP6rv/qr2LVrF3bu3Ikf/vCH+J3f+R3s27cPf/u3fwsAmJ6eLokWgPB+enq657HuvfdefPaznz3bogqCIAivIs5auO6880489dRT+MY3vlH6/GMf+1j4+4YbbsCOHTvwrne9C88//zyuvPLKszrWPffcg7vvvju8n5ubw2WXXXZ2BRcEQRAGmrMKFd511124//778fDDD+PSSy9dcdsbb7wRAPDcc88BAKampnDs2LHSNv791NRUz300Gg2Mj4+XXoIgCML65IyEi5lx11134atf/Soeeugh7N69+7S/efLJJwEAO3bsAADs2bMHP/rRj3D8+PGwzQMPPIDx8XG87nWvO5PiCIIgCOuRM8nkuOOOO3hiYoIfeeQRPnr0aHgtLS0xM/Nzzz3Hn/vc5/i73/0u79+/n7/2ta/xFVdcwe985zvDPoqi4Ouvv55vvvlmfvLJJ/nrX/86b926le+5555Vl0OyCuUlL3nJ69XxOpuswjMSrn4H/uIXv8jMzAcOHOB3vvOdvGnTJm40Gvza176WP/WpT3UV7MUXX+R3v/vdPDw8zFu2bOFPfvKT3Ol0Vl0OES55yUte8np1vM5GuMgJ0kAxNzeHiYmJi10MQRAE4RyZnZ0947yFgZyrcAC1VhAEQejB2djzgRSu+fn5i10EQRAE4TxwNvZ8IEOFxhjs27cPr3vd63Dw4EFJj++BH+sm9dMbqZ+Vkfo5PVJHK3O6+mFmzM/PY+fOnVDqzHyosx6AfDFRSuGSSy4BABnXdRqkflZG6mdlpH5Oj9TRyqxUP2ebqzCQoUJBEARh/SLCJQiCIAwUAytcjUYDn/nMZ9BoNC52UdYkUj8rI/WzMlI/p0fqaGUuZP0MZHKGIAiCsH4ZWI9LEARBWJ+IcAmCIAgDhQiXIAiCMFCIcAmCIAgDxUAK13333YfXvOY1GBoawo033oh//ud/vthFuij8/u//Poio9Lr22mvD981mE3feeSc2b96MsbExfOADH+haxPPVxmOPPYb3vve92LlzJ4gIf/d3f1f6npnx6U9/Gjt27MDw8DBuuukmPPvss6VtTp48idtuuw3j4+OYnJzERz7yESwsLLyCZ3HhOF39/Pqv/3rXPXXrrbeWtnm11s+9996Lt771rdiwYQO2bduG973vfdi3b19pm9U8UwcOHMB73vMejIyMYNu2bfjUpz6FoiheyVO5YKymjn7xF3+x6x76jd/4jdI251pHAydcf/3Xf427774bn/nMZ/C9730Pb3zjG3HLLbeUFqZcT7z+9a/H0aNHw+sb3/hG+O63fuu38Pd///f4yle+gkcffRRHjhzB+9///otY2gvP4uIi3vjGN+K+++7r+f3nP/95/Mmf/Am+8IUv4PHHH8fo6ChuueUWNJvNsM1tt92Gp59+Gg888ADuv/9+PPbYY/jYxz72Sp3CBeV09QMAt956a+me+vKXv1z6/tVaP48++ijuvPNOfPvb38YDDzyATqeDm2++GYuLi2Gb0z1TWmu85z3vQbvdxre+9S38j//xP/ClL30Jn/70py/GKZ13VlNHAPDRj360dA99/vOfD9+dlzo644VQLjJve9vb+M477wzvtda8c+dOvvfeey9iqS4On/nMZ/iNb3xjz+9mZma4VqvxV77ylfDZj3/8YwbAe/fufYVKeHEBwF/96lfDe2MMT01N8R/90R+Fz2ZmZrjRaPCXv/xlZmZ+5plnGAB/5zvfCdv84z/+IxMRHz58+BUr+ytBtX6YmW+//Xb+5V/+5b6/WU/1c/z4cQbAjz76KDOv7pn6h3/4B1ZK8fT0dNjmz/7sz3h8fJxbrdYrewKvANU6Ymb+hV/4Bf7N3/zNvr85H3U0UB5Xu93GE088gZtuuil8ppTCTTfdhL17917Ekl08nn32WezcuRNXXHEFbrvtNhw4cAAA8MQTT6DT6ZTq6tprr8Xll1++butq//79mJ6eLtXJxMQEbrzxxlAne/fuxeTkJN7ylreEbW666SYopfD444+/4mW+GDzyyCPYtm0brrnmGtxxxx04ceJE+G491c/s7CwAYNOmTQBW90zt3bsXN9xwA7Zv3x62ueWWWzA3N4enn376FSz9K0O1jjx/8Rd/gS1btuD666/HPffcg6WlpfDd+aijgZpk9+WXX4bWunTCALB9+3b85Cc/uUilunjceOON+NKXvoRrrrkGR48exWc/+1n8/M//PJ566ilMT0+jXq9jcnKy9Jvt27djenr64hT4IuPPu9f947+bnp7Gtm3bSt/neY5Nmzati3q79dZb8f73vx+7d+/G888/j9/93d/Fu9/9buzduxdZlq2b+jHG4BOf+ATe8Y534PrrrweAVT1T09PTPe8v/92riV51BAC/+qu/il27dmHnzp344Q9/iN/5nd/Bvn378Ld/+7cAzk8dDZRwCWXe/e53h7/f8IY34MYbb8SuXbvwN3/zNxgeHr6IJRMGlQ9+8IPh7xtuuAFveMMbcOWVV+KRRx7Bu971rotYsleWO++8E0899VSpz1go06+O0v7OG264ATt27MC73vUuPP/887jyyivPy7EHKlS4ZcsWZFnWlcVz7NgxTE1NXaRSrR0mJydx9dVX47nnnsPU1BTa7TZmZmZK26znuvLnvdL9MzU11ZXoUxQFTp48uS7r7YorrsCWLVvw3HPPAVgf9XPXXXfh/vvvx8MPP4xLL700fL6aZ2pqaqrn/eW/e7XQr456ceONNwJA6R461zoaKOGq1+t485vfjAcffDB8ZozBgw8+iD179lzEkq0NFhYW8Pzzz2PHjh1485vfjFqtVqqrffv24cCBA+u2rnbv3o2pqalSnczNzeHxxx8PdbJnzx7MzMzgiSeeCNs89NBDMMaEB3A9cejQIZw4cQI7duwA8OquH2bGXXfdha9+9at46KGHsHv37tL3q3mm9uzZgx/96EclcX/ggQcwPj6O173uda/MiVxATldHvXjyyScBoHQPnXMdnWUyyUXjr/7qr7jRaPCXvvQlfuaZZ/hjH/sYT05OljJU1guf/OQn+ZFHHuH9+/fzN7/5Tb7pppt4y5YtfPz4cWZm/o3f+A2+/PLL+aGHHuLvfve7vGfPHt6zZ89FLvWFZX5+nr///e/z97//fQbA/+W//Bf+/ve/zz/72c+Ymfk//+f/zJOTk/y1r32Nf/jDH/Iv//Iv8+7du3l5eTns49Zbb+Wf+7mf48cff5y/8Y1v8FVXXcUf+tCHLtYpnVdWqp/5+Xn+7d/+bd67dy/v37+f/+mf/on/xb/4F3zVVVdxs9kM+3i11s8dd9zBExMT/Mgjj/DRo0fDa2lpKWxzumeqKAq+/vrr+eabb+Ynn3ySv/71r/PWrVv5nnvuuRindN45XR0999xz/LnPfY6/+93v8v79+/lrX/saX3HFFfzOd74z7ON81NHACRcz83/7b/+NL7/8cq7X6/y2t72Nv/3tb1/sIl0UfuVXfoV37NjB9XqdL7nkEv6VX/kVfu6558L3y8vL/G//7b/ljRs38sjICP/rf/2v+ejRoxexxBeehx9+mAF0vW6//XZmtinxv/d7v8fbt2/nRqPB73rXu3jfvn2lfZw4cYI/9KEP8djYGI+Pj/OHP/xhnp+fvwhnc/5ZqX6Wlpb45ptv5q1bt3KtVuNdu3bxRz/60a5G4au1fnrVCwD+4he/GLZZzTP14osv8rvf/W4eHh7mLVu28Cc/+UnudDqv8NlcGE5XRwcOHOB3vvOdvGnTJm40Gvza176WP/WpT/Hs7GxpP+daR7KsiSAIgjBQDFQflyAIgiCIcAmCIAgDhQiXIAiCMFCIcAmCIAgDhQiXIAiCMFCIcAmCIAgDhQiXIAiCMFCIcAmCIAgDhQiXIAiCMFCIcAmCIAgDhQiXIAiCMFCIcAmCIAgDxf8foY58Mhb7JT4AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plot (unnormalized) mask polygon on image\n",
    "# https://stackoverflow.com/questions/74763263/creating-an-image-mask-using-polygon-points-coordinates÷\n",
    "import numpy as np\n",
    "from skimage.draw import polygon2mask\n",
    "\n",
    "class_idx = 0\n",
    "\n",
    "#load test image\n",
    "img = cv2.imread(test_img_path, 1)\n",
    "img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)\n",
    "\n",
    "# len(results[0].masks.xy) #6 masks\n",
    "xy_masks = results[0].masks.xy\n",
    "coords = xy_masks[class_idx]\n",
    "coords = [[y,x] for [x,y] in coords] #polygon2mask expects coordinates in y,x order\n",
    "polygon = np.array(coords)\n",
    "mask = polygon2mask(img[:,:,0].shape, polygon).astype(\"uint8\")\n",
    "\n",
    "segmented_img = cv2.bitwise_and(img, img, mask=mask)\n",
    "plt.imshow(segmented_img)\n",
    "\n",
    "# plt.imshow(mask_class_8, cmap='gray')\n",
    "# mask_class_8.shape #(720, 480)\n",
    "# img.shape #(720, 480, 3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create a mask with pixel categories"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(3456, 5184, 3)\n",
      "[0 1 2 3 4 5 7]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x2b794f518580>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#creating a segmentation mask for our entire image where\n",
    "#pixel values are just class id's (similar output to unet masks)\n",
    "#use xyn (normalized xy coordinates) to take masks from a smaller img and display them on original size image\n",
    "\n",
    "import numpy as np\n",
    "from skimage.draw import polygon2mask\n",
    "\n",
    "test_img_path = '/fs/ess/PAS2136/Butterfly/butterfly_image_segmentation/meier_images_256_256/CAM016012_d.png'\n",
    "results = model.predict(test_img_path, verbose=False)\n",
    "\n",
    "#load test image\n",
    "img_256 = cv2.imread(test_img_path, 1)\n",
    "img_256 = cv2.cvtColor(img_256, cv2.COLOR_BGR2RGB)\n",
    "\n",
    "img_full_path = '/fs/ess/PAS2136/Butterfly/butterfly_image_segmentation/meier_images/CAM016012_d.JPG'\n",
    "img_full = cv2.imread(img_full_path, 1)\n",
    "img_full = cv2.cvtColor(img_full, cv2.COLOR_BGR2RGB)\n",
    "\n",
    "print(img_full.shape)\n",
    "\n",
    "#create an empty array to add our masks onto\n",
    "segmented_img_full = np.zeros(img_full[:,:,0].shape, dtype='uint8')\n",
    "\n",
    "for r in results:\n",
    "    predicted_class_ids = r.boxes.cls.tolist()\n",
    "    xyn_masks = r.masks.xyn\n",
    "    for i, class_id in enumerate(predicted_class_ids):\n",
    "        #get coordinates of polygon\n",
    "        coords = xyn_masks[i]\n",
    "        \n",
    "        #polygon2mask expects coordinates in y,x order so reorder\n",
    "        #since we're using the normalized xy coordinates, we also multiple x and y \n",
    "        #by the target image's width and height so that our masks scale and fit the target img\n",
    "        coords_adj = [[y * img_full.shape[0], x * img_full.shape[1]] for [x,y] in coords] \n",
    "\n",
    "        #build mask\n",
    "        polygon = np.array(coords_adj)\n",
    "        mask = polygon2mask(img_full[:,:,0].shape, polygon).astype(\"uint8\")\n",
    "\n",
    "        #assign the class id as the pixel value for the segment such that\n",
    "        #instead of 1s and 0s, it'll be class_id's and 0's\n",
    "        mask *= int(class_id) \n",
    "\n",
    "        #layer the current segment into one collective mask\n",
    "        segmented_img_full += mask\n",
    "\n",
    "        for y in range(0, segmented_img_full.shape[0]):\n",
    "            for x in range(0, segmented_img_full.shape[1]):\n",
    "                #if there masks overlap at y,x\n",
    "                if mask[y, x] != 0 and segmented_img_full[y,x] != 0:\n",
    "                    #replace that value to avoid pixel values not in our id2label mapping\n",
    "                    segmented_img_full[y,x] = mask[y,x]\n",
    "        \n",
    "        # segmented_img = cv2.bitwise_and(img, img, mask=mask)\n",
    "\n",
    "print(np.unique(segmented_img_full))\n",
    "plt.imshow(segmented_img_full)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "segmented_img_full.shape\n",
    "import os \n",
    "\n",
    "os.makedirs('/fs/ess/PAS2136/Butterfly/butterfly_image_segmentation/yolo-wing-segmentation-masks', exist_ok=True)\n",
    "cv2.imwrite('/fs/ess/PAS2136/Butterfly/butterfly_image_segmentation/yolo-wing-segmentation-masks/segmented_img_full.png', segmented_img_full)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x2b794f4fa4a0>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mask = cv2.imread('/fs/ess/PAS2136/Butterfly/butterfly_image_segmentation/yolo-wing-segmentation-masks/segmented_img_full.png', 0)\n",
    "plt.imshow(mask)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.7.16"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}