save_image_chips.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ubuntu/anaconda3/envs/spatial_torch/lib/python3.5/site-packages/matplotlib/__init__.py:1067: UserWarning: Duplicate key in file \"/home/ubuntu/.config/matplotlib/matplotlibrc\", line #2\n",
      "  (fname, cnt))\n",
      "/home/ubuntu/anaconda3/envs/spatial_torch/lib/python3.5/site-packages/matplotlib/__init__.py:1067: UserWarning: Duplicate key in file \"/home/ubuntu/.config/matplotlib/matplotlibrc\", line #3\n",
      "  (fname, cnt))\n",
      "/home/ubuntu/anaconda3/envs/spatial_torch/lib/python3.5/importlib/_bootstrap.py:222: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88\n",
      "  return f(*args, **kwds)\n",
      "/home/ubuntu/anaconda3/envs/spatial_torch/lib/python3.5/importlib/_bootstrap.py:222: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88\n",
      "  return f(*args, **kwds)\n"
     ]
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "from pylab import *\n",
    "import cv2\n",
    "import rasterio as rio\n",
    "\n",
    "rcParams['figure.figsize'] = 10, 10\n",
    "\n",
    "from dataset import load_image\n",
    "\n",
    "import torch\n",
    "from torch import nn\n",
    "from torch.nn import functional as F\n",
    "import torch\n",
    "from torchvision import models\n",
    "import torchvision\n",
    "from torchvision.transforms import ToTensor, Normalize, Compose\n",
    "from utils import variable\n",
    "from generate_masks import get_model\n",
    "from unet_models import unet11_MS\n",
    "\n",
    "font = {'family' : 'normal',\n",
    "        'weight' : 'medium',\n",
    "        'size'   : 14}\n",
    "\n",
    "matplotlib.rc('font', **font)\n",
    "\n",
    "# import the helper functions\n",
    "from test_unet_helpers import *\n",
    "\n",
    "import glob\n",
    "import os,sys\n",
    "from matplotlib import pyplot as plt\n",
    "import numpy as np\n",
    "from scipy import misc\n",
    "import fiona\n",
    "from shapely.geometry import shape\n",
    "import shapely\n",
    "from rasterio.mask import mask\n",
    "from pyproj import Proj, transform"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# specify scene id for DG data\n",
    "dg_scene_id = '1030010057062200'\n",
    "\n",
    "# specify image for 2.0 meter analysis\n",
    "gt_image_2 = '../rasters/union_impervious_raster_2_0_0_wgs84.tif' # desktop\n",
    "\n",
    "# specify images for 0.5 meter analysis\n",
    "gt_image_05 = '../rasters/union_impervious_raster_0_5.tif' # desktop\n",
    "\n",
    "# specify the shapefile\n",
    "shpfile = '../union/union.shp' # desktop\n",
    "rows = []\n",
    "with fiona.open(shpfile) as shp:\n",
    "    crs = shp.crs\n",
    "    shp_bounds = shp.bounds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from gbdxtools import Interface, CatalogImage\n",
    "\n",
    "# connect to gbdx\n",
    "gbdx = Interface()\n",
    "\n",
    "# get the dask array for the 8 band MS image\n",
    "img_2m = CatalogImage(dg_scene_id, band_type='MS', bbox=shp_bounds, acomp=True)\n",
    "img_2m_toa = CatalogImage(dg_scene_id, band_type='MS', bbox=shp_bounds, acomp=False)\n",
    "rows, cols = img_2m.shape[1:]\n",
    "\n",
    "# get the dask array for the Pansharpened, 4 band image\n",
    "image_05m = CatalogImage(dg_scene_id, bbox=shp_bounds, acomp=True, pansharpen=True)\n",
    "rowsP, colsP = image_05m.shape[1:]\n",
    "pan_factorR = np.floor(rowsP/rows)\n",
    "pan_factorC = np.floor(colsP/cols)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ubuntu/anaconda3/envs/spatial_torch/lib/python3.5/site-packages/numpy/core/fromnumeric.py:2920: RuntimeWarning: Mean of empty slice.\n",
      "  out=out, **kwargs)\n",
      "/home/ubuntu/anaconda3/envs/spatial_torch/lib/python3.5/site-packages/numpy/core/_methods.py:85: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n"
     ]
    }
   ],
   "source": [
    "# generate the sample points\n",
    "# we have some funny stuff from ArcGIS converting the polygons to a raster... so... \n",
    "# generate the points within the bounds of the shapefile / DG image array\n",
    "\n",
    "import random\n",
    "\n",
    "random.seed(10)\n",
    "\n",
    "num = 10000\n",
    "side = 64\n",
    "coords = []\n",
    "coords_pan = []\n",
    "im_patches = []\n",
    "im_patches_pan = []\n",
    "\n",
    "with rasterio.open(gt_image_2, 'r') as src:\n",
    "    \n",
    "    for i in range(num):\n",
    "        ran_row, ran_col = random.randrange(0,rows), random.randrange(0,cols)\n",
    "        #print('generating sample {} of {}'.format(i+1, num))\n",
    "\n",
    "        try:\n",
    "            r_start = ran_row - side/2\n",
    "            r_end = ran_row + side/2\n",
    "            c_start = ran_col - side/2\n",
    "            c_end = ran_col + side/2\n",
    "            #im_data = img_2m[:, r_start:r_end, c_start:c_end]\n",
    "\n",
    "            pr_start = ran_row*pan_factorR - side/2\n",
    "            pr_end = ran_row*pan_factorR + side/2\n",
    "            pc_start = ran_col*pan_factorC - side/2\n",
    "            pc_end = ran_col*pan_factorC + side/2\n",
    "            #im_data_pan = image_05m[:, pr_start:pr_end, pc_start:pc_end]\n",
    "\n",
    "            # append regardless and check later.\n",
    "\n",
    "            #############################################################################################################\n",
    "            ### SHOULD CHECK THE INFORMATION THRESHOLDS BELOW, BUT HERE, TO RESELECT ROWS AND COLUMNS UNTIL IT IS MET ###\n",
    "            #############################################################################################################\n",
    "\n",
    "            s_pt = calcXYfromRC(img_2m.affine, (ran_row, ran_col))\n",
    "            pt_flag = checkWindow(src, s_pt)\n",
    "            ct = 0\n",
    "            while pt_flag:\n",
    "                ran_row, ran_col = random.randrange(0,rows), random.randrange(0,cols)\n",
    "                s_pt = calcXYfromRC(img_2m.affine, (ran_row, ran_col))\n",
    "                pt_flag = checkWindow(src, s_pt)\n",
    "                \n",
    "                ct+=1\n",
    "                # exit loop after 1000 tries\n",
    "                if ct > 1000:\n",
    "                    break\n",
    "            if ct > 1000:\n",
    "                print('1000 tries, moving on')\n",
    "                continue\n",
    "                \n",
    "                \n",
    "            coords.append((ran_row, ran_col))\n",
    "            coords_pan.append(( int(ran_row*pan_factorR), int(ran_col*pan_factorC)))\n",
    "\n",
    "        except Exception as e:\n",
    "            print(e)\n",
    "\n",
    "    coords_arr = np.array(coords)  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "lonlat_MS = [calcXYfromRC(img_2m.affine, pair) for pair in coords]\n",
    "lonlat_PAN = [calcXYfromRC(image_05m.affine, pair) for pair in coords_pan]\n",
    "\n",
    "import pyproj\n",
    "       \n",
    "def assignRC2(rio_obj, samp_pt, window_size=64, inproj='epsg:4326', outproj='epsg:32613'):\n",
    "    # project the point to source crs\n",
    "    outProj = Proj(init=outproj)\n",
    "    inProj = Proj(init=inproj)\n",
    "    x1,y1 = samp_pt        \n",
    "    x2,y2 = pyproj.transform(inProj, outProj ,x1,y1)\n",
    "    x3,y3 = pyproj.transform(outProj, inProj, x2,y2)\n",
    "    \n",
    "    # get the row column\n",
    "    temp = rio_obj.index(x2,y2)\n",
    "    r,c = [int(c) for c in temp]\n",
    "    \n",
    "    return ((x3,y3), samp_pt, r,c)\n",
    "\n",
    "def assignRC3(rio_obj, samp_pt, window_size=64, inproj='epsg:4326', outproj='epsg:32613'):\n",
    "    # project the point to source crs\n",
    "    #outProj = Proj(init=outproj)\n",
    "    #inProj = Proj(init=inproj)\n",
    "    x1,y1 = samp_pt        \n",
    "    #x2,y2 = pyproj.transform(inProj, outProj ,x1,y1)\n",
    "    #x3,y3 = pyproj.transform(outProj, inProj, x2,y2)\n",
    "    \n",
    "    # get the row column\n",
    "    temp = rio_obj.index(x1,y1)\n",
    "    r,c = [int(c) for c in temp]\n",
    "    \n",
    "    return ((x1,y1), samp_pt, r,c)\n",
    "\n",
    "# use the lonlats_* lists to sample the ground truth image. return the histogram if the window is on the border,\n",
    "# which should be evident if the window extends across\n",
    "with rasterio.open(gt_image_2, 'r') as src:\n",
    "    #print(src.crs)\n",
    "\n",
    "    # cull the lon/lat points by checking if they include nodata pixels\n",
    "    gt_pts_MS = [assignRC3(src, samp_pt) for samp_pt in lonlat_MS]\n",
    "\n",
    "# do the same for the 0.5 meter ground truth raster\n",
    "with rasterio.open(gt_image_05, 'r') as src:\n",
    "\n",
    "    # cull the lon/lat points by checking if they include nodata pixels\n",
    "    gt_pts_PAN = [assignRC(src, samp_pt) for samp_pt in lonlat_MS]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "val_test_percentage = 0.2\n",
    "train_ind = int(num - num * val_test_percentage)\n",
    "val_ind = int((num - train_ind)*0.5)\n",
    "val_ind = train_ind + val_ind\n",
    "train_ind, val_ind\n",
    "\n",
    "# ground truth\n",
    "gt_transform = Compose([\n",
    "    ToTensor()\n",
    "    ])\n",
    "gt_dataset_train = gtDatasetSampler2(gt_image_2, coords[:train_ind], transform=gt_transform) \n",
    "# gt_dataset_train = gtDatasetSampler2(gt_image_2, coords[:1000], transform=gt_transform) # debug \n",
    "gt_dataset_val = gtDatasetSampler2(gt_image_2, coords[train_ind:val_ind], transform=gt_transform)\n",
    "gt_dataset_test = gtDatasetSampler2(gt_image_2, coords[val_ind:], transform=gt_transform)\n",
    "\n",
    "\n",
    "#DG\n",
    "# image transform for DG imagery\n",
    "img_transform = Compose([\n",
    "    Normalize(mean=[1460.1287, 1452.7002, 1511.6293, 2497.181], \n",
    "              std=[672.7396, 743.9062, 918.4014, 1196.6774])\n",
    "])\n",
    "\n",
    "# image transform for DG imagery\n",
    "img_transform = Compose([\n",
    "    Normalize(mean=[1545.9403, 1460.1287, 1452.7002, 1466.6466, 1511.6293, 1902.1776, 2497.181, 2167.458], \n",
    "              std=[512.423, 672.7396, 743.9062, 840.52625, 918.4014, 828.56976, 1196.6774, 1061.4962])\n",
    "])\n",
    "\n",
    "dg_dataset_train = DigitalGlobeSamplerTensor(img_2m, coords[:train_ind], transform=img_transform, comb='all') # will return RGB by default\n",
    "dg_dataset_val = DigitalGlobeSamplerTensor(img_2m, coords[train_ind:val_ind], transform=img_transform, comb='all')\n",
    "dg_dataset_test = DigitalGlobeSamplerTensor(img_2m, coords[val_ind:], transform=img_transform, comb='all')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "chipping train set\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ubuntu/anaconda3/envs/spatial_torch/lib/python3.5/site-packages/rasterio/__init__.py:193: UserWarning: Dataset uses default geotransform (Affine.identity). No transform will be written to the output by GDAL.\n",
      "  s.start()\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "chipping val set\n",
      "chipping test set\n"
     ]
    }
   ],
   "source": [
    "# some functions to write the data\n",
    "def gt_write(outfilename, basic_image):\n",
    "    \n",
    "    kwargs = {\n",
    "        \"crs\": rio.crs.CRS({\"init\": \"epsg:4326\"}),\n",
    "        \"transform\": rio.Affine.identity(),\n",
    "        \"count\": 1,\n",
    "        \"dtype\": rio.uint8,\n",
    "        \"driver\": \"GTiff\",\n",
    "        \"width\": basic_image.shape[2],\n",
    "        \"height\": basic_image.shape[1],\n",
    "        \"nodata\": None,\n",
    "    }\n",
    "    with rio.open(outfilename, \"w\", **kwargs) as out:\n",
    "        out.write(basic_image)\n",
    "    \n",
    "    return outfilename\n",
    "\n",
    "def dg_write(outfilename, basic_image):\n",
    "    \n",
    "    kwargs = {\n",
    "        \"crs\": rio.crs.CRS({\"init\": \"epsg:4326\"}),\n",
    "        \"transform\": rio.Affine.identity(),\n",
    "        \"count\": 8,\n",
    "        \"dtype\": rio.float32,\n",
    "        \"driver\": \"GTiff\",\n",
    "        \"width\": basic_image.shape[2],\n",
    "        \"height\": basic_image.shape[1],\n",
    "        \"nodata\": None,\n",
    "    }\n",
    "    with rio.open(outfilename, \"w\", **kwargs) as out:\n",
    "        out.write(basic_image)\n",
    "    \n",
    "    return outfilename\n",
    "\n",
    "\n",
    "# iterate over the data\n",
    "cnt=0\n",
    "for chipset, typ in zip( ((gt_dataset_train, dg_dataset_train), (gt_dataset_val, dg_dataset_val), (gt_dataset_test, dg_dataset_test)), ('train', 'val', 'test') ):\n",
    "    \n",
    "    # construct the base folder\n",
    "    base_folder = '../tiles_64x64/{}'.format(typ)\n",
    "    if not os.path.exists(base_folder):\n",
    "        os.mkdir(base_folder)\n",
    "        \n",
    "    # separate the chipsets\n",
    "    gt_set, dg_set = chipset\n",
    "    \n",
    "    print('chipping {} set'.format(typ))\n",
    "    # iterate over the chipsets\n",
    "    for gt_tensor, dg_tensor in zip(gt_set, dg_set):\n",
    "    \n",
    "        # write out the ground truth rasters\n",
    "        #gt_name = 'gt_is_{0:05d}.tif'.format(cnt)\n",
    "        #gt_fi = os.path.join(base_folder, gt_name)\n",
    "        #gt_write(gt_fi, gt_tensor.numpy().astype('uint8'))\n",
    "        \n",
    "        # write out the dg rasters\n",
    "        dg_name = 'dg_is_{0:05d}.tif'.format(cnt)\n",
    "        dg_fi = os.path.join(base_folder, dg_name)\n",
    "        dg_write(dg_fi, dg_tensor.numpy().astype('float32'))\n",
    "        \n",
    "        cnt+=1\n",
    "        \n",
    "        \n",
    "        \n",
    "        \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# DEBUG MISSING PIXELS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ubuntu/anaconda3/envs/spatial_torch/lib/python3.5/site-packages/rasterio/__init__.py:193: UserWarning: Dataset has no geotransform set.  Default transform will be applied (Affine.identity())\n",
      "  s.start()\n",
      "/home/ubuntu/anaconda3/envs/spatial_torch/lib/python3.5/site-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['normal'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(8, 64, 64)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1, 64, 64)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fda5a7057f0>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gt_files = glob.glob('../tiles_64x64/train/gt*.tif')\n",
    "dg_files = glob.glob('../tiles_64x64/train/dg*.tif')\n",
    "ind=1\n",
    "\n",
    "with rio.open(dg_files[ind]) as src:\n",
    "    arr = src.read()\n",
    "    print(arr.shape)\n",
    "    \n",
    "plt.imshow(arr[5])\n",
    "plt.show()\n",
    "\n",
    "with rio.open(gt_files[ind]) as src:\n",
    "    arr = src.read()\n",
    "    print(arr.shape)\n",
    "    \n",
    "plt.imshow(arr[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1042, row end: 1106\n",
      "col start: 1839, col end: 1903\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ubuntu/anaconda3/envs/spatial_torch/lib/python3.5/site-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['normal'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ind=2\n",
    "r,c = coords[ind]\n",
    "window_size=64\n",
    "r_start = int(r - window_size/2)\n",
    "r_end = int(r_start + window_size)\n",
    "c_start = int(c - window_size/2)\n",
    "c_end = int(c_start + window_size)\n",
    "\n",
    "print('row start: {}, row end: {}'.format(r_start, r_end))\n",
    "print('col start: {}, col end: {}'.format(c_start, c_end))\n",
    "print('imshape: {}'.format(img_2m.shape[1:]))\n",
    "\n",
    "test = img_2m[:,r_start:r_end, c_start:c_end]\n",
    "test_toa = img_2m_toa[:,r_start:r_end, c_start:c_end]\n",
    "\n",
    "fig, ax = plt.subplots(1,2)\n",
    "ax[0].imshow(test[5,:,:])\n",
    "ax[1].imshow(test_toa[5,:,:])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Affine(1.7211642112827883e-05, 0.0, -105.03875758609415,\n",
       "       0.0, -1.7211642112827883e-05, 39.70158674057851)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test.affine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Affine(1.7211642112827883e-05, 0.0, -105.01633081642113,\n",
       "       0.0, -1.7211642112827883e-05, 39.71272267302552)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test.affine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 162, row end: 226\n",
      "col start: 1436, col end: 1500\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ubuntu/anaconda3/envs/spatial_torch/lib/python3.5/site-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['normal'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 2160, row end: 2224\n",
      "col start: 2955, col end: 3019\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1444, row end: 1508\n",
      "col start: 1939, col end: 2003\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 911, row end: 975\n",
      "col start: 2429, col end: 2493\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-8-82b20055dfe1>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     17\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     18\u001b[0m     \u001b[0mfig\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0max\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msubplots\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 19\u001b[0;31m     \u001b[0max\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mimshow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtest\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     20\u001b[0m     \u001b[0max\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mimshow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtest_toa\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     21\u001b[0m     \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/envs/spatial_torch/lib/python3.5/site-packages/matplotlib/__init__.py\u001b[0m in \u001b[0;36minner\u001b[0;34m(ax, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1853\u001b[0m                         \u001b[0;34m\"the Matplotlib list!)\"\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mlabel_namer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__name__\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1854\u001b[0m                         RuntimeWarning, stacklevel=2)\n\u001b[0;32m-> 1855\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0max\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1856\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1857\u001b[0m         inner.__doc__ = _add_data_doc(inner.__doc__,\n",
      "\u001b[0;32m~/anaconda3/envs/spatial_torch/lib/python3.5/site-packages/matplotlib/axes/_axes.py\u001b[0m in \u001b[0;36mimshow\u001b[0;34m(self, X, cmap, norm, aspect, interpolation, alpha, vmin, vmax, origin, extent, shape, filternorm, filterrad, imlim, resample, url, **kwargs)\u001b[0m\n\u001b[1;32m   5485\u001b[0m                               resample=resample, **kwargs)\n\u001b[1;32m   5486\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 5487\u001b[0;31m         \u001b[0mim\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mX\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   5488\u001b[0m         \u001b[0mim\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_alpha\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0malpha\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   5489\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mim\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_clip_path\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/envs/spatial_torch/lib/python3.5/site-packages/matplotlib/image.py\u001b[0m in \u001b[0;36mset_data\u001b[0;34m(self, A)\u001b[0m\n\u001b[1;32m    643\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_A\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpil_to_array\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mA\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    644\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 645\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_A\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcbook\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msafe_masked_invalid\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mA\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    646\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    647\u001b[0m         if (self._A.dtype != np.uint8 and\n",
      "\u001b[0;32m~/anaconda3/envs/spatial_torch/lib/python3.5/site-packages/matplotlib/cbook/__init__.py\u001b[0m in \u001b[0;36msafe_masked_invalid\u001b[0;34m(x, copy)\u001b[0m\n\u001b[1;32m   1362\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1363\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0msafe_masked_invalid\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1364\u001b[0;31m     \u001b[0mx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msubok\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1365\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0misnative\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1366\u001b[0m         \u001b[0;31m# Note that the argument to `byteswap` is 'inplace',\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/envs/spatial_torch/lib/python3.5/site-packages/dask/array/core.py\u001b[0m in \u001b[0;36m__array__\u001b[0;34m(self, dtype, **kwargs)\u001b[0m\n\u001b[1;32m   1254\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1255\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__array__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1256\u001b[0;31m         \u001b[0mx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcompute\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1257\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mdtype\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdtype\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1258\u001b[0m             \u001b[0mx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/envs/spatial_torch/lib/python3.5/site-packages/dask/base.py\u001b[0m in \u001b[0;36mcompute\u001b[0;34m(self, **kwargs)\u001b[0m\n\u001b[1;32m    154\u001b[0m         \u001b[0mdask\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbase\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcompute\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    155\u001b[0m         \"\"\"\n\u001b[0;32m--> 156\u001b[0;31m         \u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcompute\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtraverse\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    157\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    158\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/envs/spatial_torch/lib/python3.5/site-packages/dask/base.py\u001b[0m in \u001b[0;36mcompute\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    400\u001b[0m     \u001b[0mkeys\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__dask_keys__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mx\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mcollections\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    401\u001b[0m     \u001b[0mpostcomputes\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__dask_postcompute__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mx\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mcollections\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 402\u001b[0;31m     \u001b[0mresults\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mschedule\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdsk\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkeys\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    403\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mrepack\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0ma\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mzip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresults\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpostcomputes\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    404\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/envs/spatial_torch/lib/python3.5/site-packages/dask/threaded.py\u001b[0m in \u001b[0;36mget\u001b[0;34m(dsk, result, cache, num_workers, **kwargs)\u001b[0m\n\u001b[1;32m     73\u001b[0m     results = get_async(pool.apply_async, len(pool._pool), dsk, result,\n\u001b[1;32m     74\u001b[0m                         \u001b[0mcache\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcache\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mget_id\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0m_thread_get_id\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 75\u001b[0;31m                         pack_exception=pack_exception, **kwargs)\n\u001b[0m\u001b[1;32m     76\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     77\u001b[0m     \u001b[0;31m# Cleanup pools associated to dead threads\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/envs/spatial_torch/lib/python3.5/site-packages/dask/local.py\u001b[0m in \u001b[0;36mget_async\u001b[0;34m(apply_async, num_workers, dsk, result, cache, get_id, rerun_exceptions_locally, pack_exception, raise_exception, callbacks, dumps, loads, **kwargs)\u001b[0m\n\u001b[1;32m    494\u001b[0m             \u001b[0;31m# Main loop, wait on tasks to finish, insert new ones\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    495\u001b[0m             \u001b[0;32mwhile\u001b[0m \u001b[0mstate\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'waiting'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0mstate\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'ready'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0mstate\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'running'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 496\u001b[0;31m                 \u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mres_info\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfailed\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mqueue_get\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mqueue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    497\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mfailed\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    498\u001b[0m                     \u001b[0mexc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtb\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mloads\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mres_info\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/envs/spatial_torch/lib/python3.5/site-packages/dask/local.py\u001b[0m in \u001b[0;36mqueue_get\u001b[0;34m(q)\u001b[0m\n\u001b[1;32m    141\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    142\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mqueue_get\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mq\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 143\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mq\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    144\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    145\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/envs/spatial_torch/lib/python3.5/queue.py\u001b[0m in \u001b[0;36mget\u001b[0;34m(self, block, timeout)\u001b[0m\n\u001b[1;32m    162\u001b[0m             \u001b[0;32melif\u001b[0m \u001b[0mtimeout\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    163\u001b[0m                 \u001b[0;32mwhile\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_qsize\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 164\u001b[0;31m                     \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnot_empty\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwait\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    165\u001b[0m             \u001b[0;32melif\u001b[0m \u001b[0mtimeout\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    166\u001b[0m                 \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"'timeout' must be a non-negative number\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/envs/spatial_torch/lib/python3.5/threading.py\u001b[0m in \u001b[0;36mwait\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m    291\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m    \u001b[0;31m# restore state no matter what (e.g., KeyboardInterrupt)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    292\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mtimeout\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 293\u001b[0;31m                 \u001b[0mwaiter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0macquire\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    294\u001b[0m                 \u001b[0mgotit\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    295\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "samp_inds = np.unique(np.random.randint(6000, size=100))\n",
    "for ind in samp_inds:\n",
    "    \n",
    "    r,c = coords[ind]\n",
    "    window_size=64\n",
    "    r_start = int(r - window_size/2)\n",
    "    r_end = int(r_start + window_size)\n",
    "    c_start = int(c - window_size/2)\n",
    "    c_end = int(c_start + window_size)\n",
    "    \n",
    "    print('row start: {}, row end: {}'.format(r_start, r_end))\n",
    "    print('col start: {}, col end: {}'.format(c_start, c_end))\n",
    "    print('imshape: {}'.format(img_2m.shape[1:]))\n",
    "    \n",
    "    test = img_2m[:,r_start:r_end, c_start:c_end]\n",
    "    test_toa = img_2m_toa[:,r_start:r_end, c_start:c_end]\n",
    "    \n",
    "    fig, ax = plt.subplots(1,2)\n",
    "    ax[0].imshow(test[5,:,:])\n",
    "    ax[1].imshow(test_toa[5,:,:])\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "dg_scene_id"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('dg_support_coords.txt', 'w') as f:\n",
    "    for item in coords:\n",
    "        f.write(\"{} {}\\n\".format(item[0], item[1]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 522, row end: 586\n",
      "col start: 1870, col end: 1934\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ubuntu/anaconda3/envs/spatial_torch/lib/python3.5/site-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['normal'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1659, row end: 1723\n",
      "col start: 2959, col end: 3023\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 890, row end: 954\n",
      "col start: 1523, col end: 1587\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1732, row end: 1796\n",
      "col start: 2549, col end: 2613\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAP4AAAD8CAYAAABXXhlaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAADKlJREFUeJzt3X+o3fV9x/Hna/lZbSWmVQlGFguh0z9mLBe1OMpqasm6UvOHDqWMMAL3HzcsK3S6waCwP+o/1f0xBqG65g9XdbYuIqVtSJUyGNFr1Taa2ljnNCTzdpvSrrDU2Pf+ON+U2+zGe3Lv93tOw+f5gHDO93u/h++bnPs8v+7h+01VIaktvzXtASRNnuFLDTJ8qUGGLzXI8KUGGb7UIMOXGrSi8JPsSPJSkpeT3NnXUJKGleV+gSfJKuBHwI3AUeBp4LaqerG/8SQNYfUKbnsN8HJVvQKQ5EHgJuCM4a/NulrP+SvYpaR387/8nF/UiSy13UrCvxR4fcHyUeDad7vBes7n2mxfwS4lvZuDdWCs7VYS/mKPKv/vfUOSWWAWYD3nrWB3kvqykg/3jgKXLVjeDBw7faOq2lNVM1U1s4Z1K9idpL6sJPynga1JLk+yFrgVeKyfsSQNadkv9avqZJI/Bb4FrALur6oXeptM0mBW8h6fqvoG8I2eZpE0IX5zT2qQ4UsNMnypQYYvNcjwpQYZvtQgw5caZPhSgwxfapDhSw0yfKlBhi81yPClBhm+1CDDlxpk+FKDDF9qkOFLDTJ8qUGGLzXI8KUGGb7UIMOXGmT4UoMMX2rQkuEnuT/JfJJDC9ZtTLI/yZHu8sJhx5TUp3Ge8b8C7Dht3Z3AgaraChzoliWdI5YMv6q+C/z3aatvAvZ21/cCO3ueS9KAlvse/5KqOg7QXV7c30iShrais+WOI8ksMAuwnvOG3p2kMSz3Gf+NJJsAusv5M21YVXuqaqaqZtawbpm7k9Sn5Yb/GLCru74L2NfPOJImYZw/530V+FfgQ0mOJtkNfBG4MckR4MZuWdI5Ysn3+FV12xl+tL3nWSRNiN/ckxpk+FKDDF9qkOFLDTJ8qUGGLzXI8KUGGb7UIMOXGmT4UoMMX2qQ4UsNMnypQYYvNcjwpQYZvtQgw5caZPhSgwxfapDhSw0yfKlBhi81yPClBhm+1CDDlxo0zim0LkvyRJLDSV5Icke3fmOS/UmOdJcXDj+upD6M84x/EvhcVV0BXAfcnuRK4E7gQFVtBQ50y5LOAUuGX1XHq+p73fWfAYeBS4GbgL3dZnuBnUMNKalfZ/UeP8kW4GrgIHBJVR2H0YMDcHHfw0kaxtjhJ3kv8DXgs1X107O43WySuSRzb3NiOTNK6tlY4SdZwyj6B6rq693qN5Js6n6+CZhf7LZVtaeqZqpqZg3r+phZ0gqN86l+gPuAw1X1pQU/egzY1V3fBezrfzxJQ1g9xjbXA38M/CDJc926vwS+CDycZDfwGnDLMCNK6tuS4VfVvwA5w4+39zuOpEnwm3tSgwxfapDhSw0yfKlBhi81yPClBhm+1CDDlxpk+FKDDF9qkOFLDTJ8qUGGLzXI8KUGGb7UIMOXGmT4UoMMX2qQ4UsNMnypQYYvNcjwpQYZvtQgw5caZPhSg8Y5d976JE8leT7JC0m+0K2/PMnBJEeSPJRk7fDjSurDOM/4J4AbquoqYBuwI8l1wN3APVW1FXgT2D3cmJL6tGT4NfI/3eKa7l8BNwCPdOv3AjsHmVBS78Z6j59kVXem3HlgP/Bj4K2qOtltchS4dJgRJfVtrPCr6p2q2gZsBq4Brlhss8Vum2Q2yVySubc5sfxJJfXmrD7Vr6q3gCeB64ANSU6dZnszcOwMt9lTVTNVNbOGdSuZVVJPxvlU/6IkG7rr7wE+DhwGngBu7jbbBewbakhJ/Vq99CZsAvYmWcXogeLhqno8yYvAg0n+BngWuG/AOSX1aMnwq+r7wNWLrH+F0ft9SecYv7knNcjwpQYZvtQgw5caZPhSgwxfapDhSw0yfKlBhi81yPClBhm+1CDDlxpk+FKDDF9qkOFLDTJ8qUGGLzXI8KUGGb7UIMOXGmT4UoMMX2qQ4UsNMnypQYYvNWjs8LtTZT+b5PFu+fIkB5McSfJQkrXDjSmpT2fzjH8Ho5NlnnI3cE9VbQXeBHb3OZik4YwVfpLNwB8CX+6WA9wAPNJtshfYOcSAkvo37jP+vcDngV92y+8H3qqqk93yUeDSnmeTNJAlw0/yKWC+qp5ZuHqRTesMt59NMpdk7m1OLHNMSX1a8jTZwPXAp5N8ElgPXMDoFcCGJKu7Z/3NwLHFblxVe4A9ABdk46IPDpIma8ln/Kq6q6o2V9UW4FbgO1X1GeAJ4OZus13AvsGmlNSrlfwd/y+AP0/yMqP3/Pf1M5KkoY3zUv9XqupJ4Mnu+ivANf2PJGlofnNPapDhSw0yfKlBhi81yPClBhm+1CDDlxpk+FKDDF9qkOFLDTJ8qUGGLzXI8KUGGb7UIMOXGmT4UoMMX2qQ4UsNMnypQYYvNcjwpQYZvtQgw5caZPhSgwxfatBYZ9JJ8irwM+Ad4GRVzSTZCDwEbAFeBf6oqt4cZkxJfTqbZ/yPVdW2qprplu8EDlTVVuBAtyzpHLCSl/o3AXu763uBnSsfR9IkjBt+Ad9O8kyS2W7dJVV1HKC7vHiIASX1b9yz5V5fVceSXAzsT/LDcXfQPVDMAqznvGWMKKlvYz3jV9Wx7nIeeJTR6bHfSLIJoLucP8Nt91TVTFXNrGFdP1NLWpElw09yfpL3nboOfAI4BDwG7Oo22wXsG2pISf0a56X+JcCjSU5t/49V9c0kTwMPJ9kNvAbcMtyYkvq0ZPhV9Qpw1SLr/wvYPsRQkoblN/ekBhm+1CDDlxpk+FKDDF9qkOFLDTJ8qUGGLzXI8KUGGb7UIMOXGmT4UoMMX2qQ4UsNMnypQYYvNcjwpQYZvtQgw5caZPhSgwxfapDhSw0yfKlBhi81yPClBo0VfpINSR5J8sMkh5N8JMnGJPuTHOkuLxx6WEn9GPcZ/2+Bb1bV7zA6ndZh4E7gQFVtBQ50y5LOAeOcLfcC4KPAfQBV9Yuqegu4CdjbbbYX2DnUkJL6Nc4z/geBnwD/kOTZJF/uTpd9SVUdB+guLx5wTkk9Gif81cCHgb+vqquBn3MWL+uTzCaZSzL3NieWOaakPo0T/lHgaFUd7JYfYfRA8EaSTQDd5fxiN66qPVU1U1Uza1jXx8ySVmjJ8KvqP4DXk3yoW7UdeBF4DNjVrdsF7BtkQkm9Wz3mdn8GPJBkLfAK8CeMHjQeTrIbeA24ZZgRJfVtrPCr6jlgZpEfbe93HEmT4Df3pAYZvtQgw5caZPhSgwxfapDhSw0yfKlBqarJ7Sz5CfDvwAeA/5zYjhf3mzADOMfpnOPXne0cv11VFy210UTD/9VOk7mqWuwLQU3N4BzOMa05fKkvNcjwpQZNK/w9U9rvQr8JM4BznM45ft0gc0zlPb6k6fKlvtSgiYafZEeSl5K8nGRiR+VNcn+S+SSHFqyb+OHBk1yW5InuEOUvJLljGrMkWZ/kqSTPd3N8oVt/eZKD3RwPdcdfGFySVd3xHB+f1hxJXk3ygyTPJZnr1k3jd2Qih7KfWPhJVgF/B/wBcCVwW5IrJ7T7rwA7Tls3jcODnwQ+V1VXANcBt3f/B5Oe5QRwQ1VdBWwDdiS5DrgbuKeb401g98BznHIHo0O2nzKtOT5WVdsW/PlsGr8jkzmUfVVN5B/wEeBbC5bvAu6a4P63AIcWLL8EbOqubwJemtQsC2bYB9w4zVmA84DvAdcy+qLI6sXurwH3v7n7Zb4BeBzIlOZ4FfjAaesmer8AFwD/RvfZ25BzTPKl/qXA6wuWj3brpmWqhwdPsgW4Gjg4jVm6l9fPMTpI6n7gx8BbVXWy22RS98+9wOeBX3bL75/SHAV8O8kzSWa7dZO+XyZ2KPtJhp9F1jX5J4Uk7wW+Bny2qn46jRmq6p2q2sboGfca4IrFNhtyhiSfAuar6pmFqyc9R+f6qvowo7eityf56AT2eboVHcr+bEwy/KPAZQuWNwPHJrj/0411ePC+JVnDKPoHqurr05wFoEZnRXqS0WcOG5KcOg7jJO6f64FPJ3kVeJDRy/17pzAHVXWsu5wHHmX0YDjp+2VFh7I/G5MM/2lga/eJ7VrgVkaH6J6WiR8ePEkYnYrscFV9aVqzJLkoyYbu+nuAjzP6EOkJ4OZJzVFVd1XV5qrawuj34TtV9ZlJz5Hk/CTvO3Ud+ARwiAnfLzXJQ9kP/aHJaR9SfBL4EaP3k381wf1+FTgOvM3oUXU3o/eSB4Aj3eXGCczxe4xetn4feK7798lJzwL8LvBsN8ch4K+79R8EngJeBv4JWDfB++j3gcenMUe3v+e7fy+c+t2c0u/INmCuu2/+GbhwiDn85p7UIL+5JzXI8KUGGb7UIMOXGmT4UoMMX2qQ4UsNMnypQf8H/MExHSxILF0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1388, row end: 1452\n",
      "col start: 1236, col end: 1300\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAP4AAAD8CAYAAABXXhlaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAADNJJREFUeJzt3X+o3fV9x/Hna/mpti6mVckSt1gInf4xY7moxVFaU7vMlZo/dChlhBG4/7jNskKnGwwK+6P+U90fYxCqa/5wVWfrIlLaZqkyBiMaq7bR1Ma6TEMy021Ku7Klxr73x/lGrtmN9yT3+z2n2ef5gHDO93u/h+8bz32eX/f4/aaqkNSWX5r2AJImz/ClBhm+1CDDlxpk+FKDDF9qkOFLDVpU+Ek2J3kxyUtJ7uhrKEnDypl+gSfJEuAHwPXAIeAp4NaqeqG/8SQNYekibnsV8FJVvQyQ5AHgRuCU4S/PilrJeYvYpaR38z/8lJ/VsSy03WLCXwu8Omf5EHD1u91gJedxdTYtYpeS3s2e2j3WdosJf75Hlf/zviHJLDALsJJzF7E7SX1ZzId7h4BL5iyvAw6fvFFVba+qmaqaWcaKRexOUl8WE/5TwIYklyZZDtwCPNrPWJKGdMYv9avqeJI/AL4JLAHuq6rne5tM0mAW8x6fqvo68PWeZpE0IX5zT2qQ4UsNMnypQYYvNcjwpQYZvtQgw5caZPhSgwxfapDhSw0yfKlBhi81yPClBhm+1CDDlxpk+FKDDF9qkOFLDTJ8qUGGLzXI8KUGGb7UIMOXGmT4UoMMX2rQguEnuS/J0ST75qxbnWRXkgPd5QXDjimpT+M8438Z2HzSujuA3VW1AdjdLUs6SywYflX9I/CfJ62+EdjRXd8BbOl5LkkDOtP3+BdX1RGA7vKi/kaSNLRFnS13HElmgVmAlZw79O4kjeFMn/FfS7IGoLs8eqoNq2p7Vc1U1cwyVpzh7iT16UzDfxTY2l3fCuzsZxxJkzDOn/O+Avwz8MEkh5JsA74AXJ/kAHB9tyzpLLHge/yquvUUP9rU8yySJsRv7kkNMnypQYYvNcjwpQYZvtQgw5caZPhSgwxfapDhSw0yfKlBhi81yPClBhm+1CDDlxpk+FKDDF9qkOFLDTJ8qUGGLzXI8KUGGb7UIMOXGmT4UoMMX2qQ4UsNGucUWpckeTzJ/iTPJ7m9W786ya4kB7rLC4YfV1IfxnnGPw58tqouA64BbktyOXAHsLuqNgC7u2VJZ4EFw6+qI1X1ne76T4D9wFrgRmBHt9kOYMtQQ0rq12m9x0+yHrgS2ANcXFVHYPTgAFzU93CShjF2+EneA3wV+ExV/fg0bjebZG+SvW9y7ExmlNSzscJPsoxR9PdX1de61a8lWdP9fA1wdL7bVtX2qpqpqpllrOhjZkmLNM6n+gHuBfZX1Rfn/OhRYGt3fSuws//xJA1h6RjbXAv8HvC9JM926/4U+ALwUJJtwCvAzcOMKKlvC4ZfVf8E5BQ/3tTvOJImwW/uSQ0yfKlBhi81yPClBhm+1CDDlxpk+FKDDF9qkOFLDTJ8qUGGLzXI8KUGGb7UIMOXGmT4UoMMX2qQ4UsNMnypQYYvNcjwpQYZvtQgw5caZPhSgwxfapDhSw0a59x5K5M8meS5JM8n+Xy3/tIke5IcSPJgkuXDjyupD+M84x8DrquqK4CNwOYk1wB3AXdX1QbgdWDbcGNK6tOC4dfIf3WLy7p/BVwHPNyt3wFsGWRCSb0b6z1+kiXdmXKPAruAHwJvVNXxbpNDwNphRpTUt7HCr6q3qmojsA64Crhsvs3mu22S2SR7k+x9k2NnPqmk3pzWp/pV9QbwBHANsCrJidNsrwMOn+I226tqpqpmlrFiMbNK6sk4n+pfmGRVd/0c4OPAfuBx4KZus63AzqGGlNSvpQtvwhpgR5IljB4oHqqqx5K8ADyQ5C+AZ4B7B5xTUo8WDL+qvgtcOc/6lxm935d0lvGbe1KDDF9qkOFLDTJ8qUGGLzXI8KUGGb7UIMOXGmT4UoMMX2qQ4UsNMnypQYYvNcjwpQYZvtQgw5caZPhSgwxfapDhSw0yfKlBhi81yPClBhm+1CDDlxpk+FKDxg6/O1X2M0ke65YvTbInyYEkDyZZPtyYkvp0Os/4tzM6WeYJdwF3V9UG4HVgW5+DSRrOWOEnWQf8DvClbjnAdcDD3SY7gC1DDCipf+M+498DfA74ebf8PuCNqjreLR8C1vY8m6SBLBh+kk8CR6vq6bmr59m0TnH72SR7k+x9k2NnOKakPi14mmzgWuBTSW4AVgLnM3oFsCrJ0u5Zfx1weL4bV9V2YDvA+Vk974ODpMla8Bm/qu6sqnVVtR64Bfh2VX0aeBy4qdtsK7BzsCkl9Woxf8f/E+CPk7zE6D3/vf2MJGlo47zUf1tVPQE80V1/Gbiq/5EkDc1v7kkNMnypQYYvNcjwpQYZvtQgw5caZPhSgwxfapDhSw0yfKlBhi81yPClBhm+1CDDlxpk+FKDDF9qkOFLDTJ8qUGGLzXI8KUGGb7UIMOXGmT4UoMMX2qQ4UsNGutMOkkOAj8B3gKOV9VMktXAg8B64CDwu1X1+jBjSurT6Tzjf6yqNlbVTLd8B7C7qjYAu7tlSWeBxbzUvxHY0V3fAWxZ/DiSJmHc8Av4VpKnk8x26y6uqiMA3eVFQwwoqX/jni332qo6nOQiYFeS74+7g+6BYhZgJeeewYiS+jbWM35VHe4ujwKPMDo99mtJ1gB0l0dPcdvtVTVTVTPLWNHP1JIWZcHwk5yX5L0nrgOfAPYBjwJbu822AjuHGlJSv8Z5qX8x8EiSE9v/bVV9I8lTwENJtgGvADcPN6akPi0YflW9DFwxz/r/ADYNMZSkYfnNPalBhi81yPClBhm+1CDDlxpk+FKDDF9qkOFLDTJ8qUGGLzXI8KUGGb7UIMOXGmT4UoMMX2qQ4UsNMnypQYYvNcjwpQYZvtQgw5caZPhSgwxfapDhSw0yfKlBY4WfZFWSh5N8P8n+JB9OsjrJriQHussLhh5WUj/Gfcb/S+AbVfXrjE6ntR+4A9hdVRuA3d2ypLPAOGfLPR/4CHAvQFX9rKreAG4EdnSb7QC2DDWkpH6N84z/AeBHwN8keSbJl7rTZV9cVUcAusuLBpxTUo/GCX8p8CHgr6vqSuCnnMbL+iSzSfYm2fsmx85wTEl9Gif8Q8ChqtrTLT/M6IHgtSRrALrLo/PduKq2V9VMVc0sY0UfM0tapAXDr6p/A15N8sFu1SbgBeBRYGu3biuwc5AJJfVu6Zjb/SFwf5LlwMvA7zN60HgoyTbgFeDmYUaU1Lexwq+qZ4GZeX60qd9xJE2C39yTGmT4UoMMX2qQ4UsNGvdT/f9Xjv/Dr759/ZeX//c7fvZHa3e/ff2j5/z8HT/7rV/ZOOxg0oT4jC81yPClBqWqJrez5EfAvwLvB/59Yjue3y/CDOAcJ3OOdzrdOX6tqi5caKOJhv/2TpO9VTXfF4KamsE5nGNac/hSX2qQ4UsNmlb426e037l+EWYA5ziZc7zTIHNM5T2+pOnypb7UoImGn2RzkheTvJRkYkflTXJfkqNJ9s1ZN/HDgye5JMnj3SHKn09y+zRmSbIyyZNJnuvm+Hy3/tIke7o5HuyOvzC4JEu64zk+Nq05khxM8r0kzybZ262bxu/IRA5lP7HwkywB/gr4beBy4NYkl09o918GNp+0bhqHBz8OfLaqLgOuAW7r/htMepZjwHVVdQWwEdic5BrgLuDubo7XgW0Dz3HC7YwO2X7CtOb4WFVtnPPns2n8jkzmUPZVNZF/wIeBb85ZvhO4c4L7Xw/sm7P8IrCmu74GeHFSs8yZYSdw/TRnAc4FvgNczeiLIkvnu78G3P+67pf5OuAxIFOa4yDw/pPWTfR+Ac4H/oXus7ch55jkS/21wKtzlg9166ZlqocHT7IeuBLYM41ZupfXzzI6SOou4IfAG1V1vNtkUvfPPcDngBP/R9T7pjRHAd9K8nSS2W7dpO+XiR3KfpLhZ551Tf5JIcl7gK8Cn6mqH09jhqp6q6o2MnrGvQq4bL7NhpwhySeBo1X19NzVk56jc21VfYjRW9HbknxkAvs82aIOZX86Jhn+IeCSOcvrgMMT3P/Jxjo8eN+SLGMU/f1V9bVpzgJQo7MiPcHoM4dVSU78r9qTuH+uBT6V5CDwAKOX+/dMYQ6q6nB3eRR4hNGD4aTvl0Udyv50TDL8p4AN3Se2y4FbGB2ie1omfnjwJGF0KrL9VfXFac2S5MIkq7rr5wAfZ/Qh0uPATZOao6rurKp1VbWe0e/Dt6vq05OeI8l5Sd574jrwCWAfE75fapKHsh/6Q5OTPqS4AfgBo/eTfzbB/X4FOAK8yehRdRuj95K7gQPd5eoJzPGbjF62fhd4tvt3w6RnAX4DeKabYx/w5936DwBPAi8BfwesmOB99FHgsWnM0e3vue7f8yd+N6f0O7IR2NvdN38PXDDEHH5zT2qQ39yTGmT4UoMMX2qQ4UsNMnypQYYvNcjwpQYZvtSg/wVCsDcffg+ACQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1353, row end: 1417\n",
      "col start: 2571, col end: 2635\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1501, row end: 1565\n",
      "col start: 468, col end: 532\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 911, row end: 975\n",
      "col start: 2132, col end: 2196\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 974, row end: 1038\n",
      "col start: 2385, col end: 2449\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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FZrbdzHab2e4pJk4zmyLSS91c1b8C+JCZfQAYBVbSqgGsMrOhrNRfDxyY7c3uvgPYAbDSVquiJvI6MG+J7+43uvt6d98IfAz4ibt/ArgL+Eh22FbgttJyKQPDrbDULF/q8YKRL8G1AFm4hXTg+Szwp2b2JK02/9d6kyURKdspdeBx97uBu7P0U8Alvc+SiJRNPfekUl74xoU9+bxY/wwvIauK31Pqqy+SIAW+SIJU1ZdqFR7SCavzM3rlBevFYbllYVTiiyRIgS+SIAW+SILUxpdKFafJ7nYgDk2h1Vsq8UUSpMAXSZCq+lKtwi27evCkdnM43tms6R5eWVTiiyRIgS+SIAW+SILUxpdqdXjKzgq3+mrRwWrv95JKfJEEKfBFEqSqvlSrUGP3erAyY3qtYKWO9JBKfJEEKfBFEqSqvvRVWJ33QnW+GXw7i2P1ycKoxBdJkAJfJEEKfJEEqeUklQoH3oB4EM3igJrhwBwzxtyXBekq8M1sL3AUmAYa7r7FzFYDNwMbgb3A77n74XKyKSK9dCq/o+91983uviVbvwHY5e6bgF3ZuogsAgupQF0H7MzSO4EPLzw7Muii2XFrhtdpL9HsuAbW9GChvcjCdRv4DvzYzO43s+3ZtnPc/SBA9rq2jAyKSO91e3HvCnc/YGZrgTvN7LFuT5D9UGwHGGXsNLIoIr3WVYnv7gey10PArbSmx37BzNYBZK+H5njvDnff4u5bhhnpTa5FZEHmDXwzW2ZmK06mgfcDjwC3A1uzw7YCt5WVSRkc9SmPFpumvRR53dpLp+Pk1HVT1T8HuNVa91SHgH9x9x+a2X3ALWa2DXgW+Gh52RSRXpo38N39KeCds2x/Gbi6jEyJSLnUc08q1Sw8gVcLOvIVb9VZM5heS2Ps95Q6QookSIEvkiAFvkiC1MaX14/CmPthm1/TZPeWSnyRBCnwRRKkqr5UyopTaHW4nTfXcbJwKvFFEqTAF0mQqvpSqeZQ3ANvaCqs68fHhuPs6eGc3lKJL5IgBb5IghT4IglSG1+q1eF2XnHs/GhdRVRP6b9TJEEKfJEEqaov1SresqvPfhhALZxCu6mue72kEl8kQQp8kQQp8EUSpDa+VMoKbfVaI0/PmCY7LJY6XAuQU6cSXyRBCnyRBKmqL5Uqjo/frOdV/xmDdEhpuirxzWyVmX3HzB4zsz1m9m4zW21md5rZE9nrmWVnVkR6o9uq/j8CP3T3t9GaTmsPcAOwy903AbuydRFZBLqZLXcl8B7gawDuPunu48B1wM7ssJ3Ah8vKpAyO5nC8YMFSYB4szXyRheumxL8AeBH4hpk9YGZfzabLPsfdDwJkr2tLzKeI9FA3gT8EvAv4irtfDBzjFKr1ZrbdzHab2e4pJk4zmyLSS90E/n5gv7vfk61/h9YPwQtmtg4gez0025vdfYe7b3H3LcOM9CLPIrJA8wa+uz8P7DOzt2abrgZ+AdwObM22bQVuKyWHMlCGjnu01KZoL27x0hzKF6/niyxct/fx/wT4lpktAZ4C/ojWj8YtZrYNeBb4aDlZFJFe6yrw3f1BYMssu67ubXZEpArquSeVKo6rX7cOPfeC9aY6l/eU/jtFEqTAF0mQAl8kQWrjS6VqjbkfwSsOxBFSV93eUokvkiAFvkiCzL260Q/M7EXgGeBs4KXKTjy710MeQPkoUj5ip5qPN7n7mvkOqjTw2yc12+3us3UISioPyofy0a98qKovkiAFvkiC+hX4O/p03tDrIQ+gfBQpH7FS8tGXNr6I9Jeq+iIJqjTwzexaM3vczJ40s8pG5TWzr5vZITN7JNhW+fDgZrbBzO7Khih/1Myu70dezGzUzO41s4eyfHwu236+md2T5ePmbPyF0plZPRvP8Y5+5cPM9prZz83sQTPbnW3rx3ekkqHsKwt8M6sD/wT8DnAR8HEzu6ii038TuLawrR/DgzeAT7v7hcBlwCez/4Oq8zIBXOXu7wQ2A9ea2WXAF4AvZfk4DGwrOR8nXU9ryPaT+pWP97r75uD2WT++I9UMZe/ulSzAu4EfBes3AjdWeP6NwCPB+uPAuiy9Dni8qrwEebgNuKafeQHGgP8DLqXVUWRotr9Xiedfn32ZrwLuoDXQdj/ysRc4u7Ct0r8LsBJ4muzaW5n5qLKqfx6wL1jfn23rl74OD25mG4GLgXv6kZesev0grUFS7wR+BYy7+8n5a6v6+3wZ+Axw8jGcs/qUDwd+bGb3m9n2bFvVf5fKhrKvMvBne/YqyVsKZrYc+C7wKXc/0o88uPu0u2+mVeJeAlw422Fl5sHMPggccvf7w81V5yNzhbu/i1ZT9JNm9p4Kzlm0oKHsT0WVgb8f2BCsrwcOVHj+oq6GB+81MxumFfTfcvfv9TMvAN6aFeluWtccVpnZyUe1q/j7XAF8yMz2AjfRqu5/uQ/5wN0PZK+HgFtp/RhW/XdZ0FD2p6LKwL8P2JRdsV0CfIzWEN39Uvnw4GZmtKYi2+PuX+xXXsxsjZmtytJLgffRuoh0F/CRqvLh7je6+3p330jr+/ATd/9E1fkws2VmtuJkGng/8AgV/128yqHsy75oUrhI8QHgl7Tak39e4Xm/DRwEpmj9qm6j1ZbcBTyRva6uIB+/Rava+jDwYLZ8oOq8AO8AHsjy8Qjwl9n2C4B7gSeBfwVGKvwbXQnc0Y98ZOd7KFsePfnd7NN3ZDOwO/vbfB84s4x8qOeeSILUc08kQQp8kQQp8EUSpMAXSZACXyRBCnyRBCnwRRKkwBdJ0P8DxjIbESo+WEkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1468, row end: 1532\n",
      "col start: 1705, col end: 1769\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 389, row end: 453\n",
      "col start: 1759, col end: 1823\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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bJcjBN0uQg2+WoFJvky3pQ+C3wGLgo9IWPLXPQg3gOuq5jqKzreMPIuLimRqVGvzJhUrbI2KqE4KSqsF1uI521eFNfbMEOfhmCWpX8De1abl5n4UawHXUcx1FLamjLX18M2svb+qbJajU4EtaJ+ktSW9LKu2qvJIelTQk6fXctNIvDy7pUkkvZpco3yXp3nbUIqlX0suSXsvq+G42/TJJ27I6Hs+uv9Bykjqz6zk+2646JO2V9CtJOyVtz6a14z1SyqXsSwu+pE7gn4E/Ba4A7pZ0RUmL/wGwrm5aOy4PPgZ8KyJWA2uBe7L/Qdm1DAM3RsRVwBpgnaS1wIPAQ1kdh4ANLa7jlHupXrL9lHbV8ZWIWJM7fNaO90g5l7KPiFJ+gOuB53Pj9wP3l7j8lcDrufG3gGXZ8DLgrbJqydWwBbi5nbUAfcAvgOuonijSNdXr1cLlr8jezDcCzwJqUx17gcV100p9XYD5wG/I9r21so4yN/WXA+/nxgezae3S1suDS1oJXA1sa0ct2eb1TqoXSd0KvAMcjoixrElZr8/DwLeBiWz8ojbVEcALkl6VtDGbVvbrUtql7MsMvqaYluQhBUnzgB8D34yII+2oISLGI2IN1TXutcDqqZq1sgZJXweGIuLV/OSy68jcEBHXUO2K3iPpSyUss96sLmV/NsoM/iBwaW58BbCvxOXXa+jy4M0mqUI19I9FxFPtrAUgqndFeonqPocFkk5dh7GM1+cG4FZJe4EfUd3cf7gNdRAR+7LHIeBpqh+GZb8us7qU/dkoM/ivAKuyPbbdwF1UL9HdLqVfHlySqN6KbHdEfK9dtUi6WNKCbHgO8FWqO5FeBO4oq46IuD8iVkTESqrvh59GxDfKrkPSXEkXnBoGvga8TsmvS5R5KftW7zSp20lxC/Brqv3JvytxuT8E9gOjVD9VN1DtSw4Ae7LHRSXU8SdUN1t/CezMfm4puxbgi8COrI7Xgb/Ppl8OvAy8DfwH0FPia/Rl4Nl21JEt77XsZ9ep92ab3iNrgO3Za/OfwMJW1OEz98wS5DP3zBLk4JslyME3S5CDb5YgB98sQQ6+WYIcfLMEOfhmCfp/IFSoTYO8wPYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1493, row end: 1557\n",
      "col start: 1748, col end: 1812\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1016, row end: 1080\n",
      "col start: 1978, col end: 2042\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAP4AAAD8CAYAAABXXhlaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAADKlJREFUeJzt3X+o3fV9x/Hna/lZbSWmVQlGFguh0z9mLBe1OMpqasm6UvOHDqWMMAL3HzcsK3S6waCwP+o/1f0xBqG65g9XdbYuIqVtSJUyGNFr1Taa2ljnNCTzdpvSrrDU2Pf+ON+U2+zGe3Lv93tOw+f5gHDO93u/h++bnPs8v+7h+01VIaktvzXtASRNnuFLDTJ8qUGGLzXI8KUGGb7UIMOXGrSi8JPsSPJSkpeT3NnXUJKGleV+gSfJKuBHwI3AUeBp4LaqerG/8SQNYfUKbnsN8HJVvQKQ5EHgJuCM4a/NulrP+SvYpaR387/8nF/UiSy13UrCvxR4fcHyUeDad7vBes7n2mxfwS4lvZuDdWCs7VYS/mKPKv/vfUOSWWAWYD3nrWB3kvqykg/3jgKXLVjeDBw7faOq2lNVM1U1s4Z1K9idpL6sJPynga1JLk+yFrgVeKyfsSQNadkv9avqZJI/Bb4FrALur6oXeptM0mBW8h6fqvoG8I2eZpE0IX5zT2qQ4UsNMnypQYYvNcjwpQYZvtQgw5caZPhSgwxfapDhSw0yfKlBhi81yPClBhm+1CDDlxpk+FKDDF9qkOFLDTJ8qUGGLzXI8KUGGb7UIMOXGmT4UoMMX2rQkuEnuT/JfJJDC9ZtTLI/yZHu8sJhx5TUp3Ge8b8C7Dht3Z3AgaraChzoliWdI5YMv6q+C/z3aatvAvZ21/cCO3ueS9KAlvse/5KqOg7QXV7c30iShrais+WOI8ksMAuwnvOG3p2kMSz3Gf+NJJsAusv5M21YVXuqaqaqZtawbpm7k9Sn5Yb/GLCru74L2NfPOJImYZw/530V+FfgQ0mOJtkNfBG4MckR4MZuWdI5Ysn3+FV12xl+tL3nWSRNiN/ckxpk+FKDDF9qkOFLDTJ8qUGGLzXI8KUGGb7UIMOXGmT4UoMMX2qQ4UsNMnypQYYvNcjwpQYZvtQgw5caZPhSgwxfapDhSw0yfKlBhi81yPClBhm+1CDDlxo0zim0LkvyRJLDSV5Icke3fmOS/UmOdJcXDj+upD6M84x/EvhcVV0BXAfcnuRK4E7gQFVtBQ50y5LOAUuGX1XHq+p73fWfAYeBS4GbgL3dZnuBnUMNKalfZ/UeP8kW4GrgIHBJVR2H0YMDcHHfw0kaxtjhJ3kv8DXgs1X107O43WySuSRzb3NiOTNK6tlY4SdZwyj6B6rq693qN5Js6n6+CZhf7LZVtaeqZqpqZg3r+phZ0gqN86l+gPuAw1X1pQU/egzY1V3fBezrfzxJQ1g9xjbXA38M/CDJc926vwS+CDycZDfwGnDLMCNK6tuS4VfVvwA5w4+39zuOpEnwm3tSgwxfapDhSw0yfKlBhi81yPClBhm+1CDDlxpk+FKDDF9qkOFLDTJ8qUGGLzXI8KUGGb7UIMOXGmT4UoMMX2qQ4UsNMnypQYYvNcjwpQYZvtQgw5caZPhSg8Y5d976JE8leT7JC0m+0K2/PMnBJEeSPJRk7fDjSurDOM/4J4AbquoqYBuwI8l1wN3APVW1FXgT2D3cmJL6tGT4NfI/3eKa7l8BNwCPdOv3AjsHmVBS78Z6j59kVXem3HlgP/Bj4K2qOtltchS4dJgRJfVtrPCr6p2q2gZsBq4Brlhss8Vum2Q2yVySubc5sfxJJfXmrD7Vr6q3gCeB64ANSU6dZnszcOwMt9lTVTNVNbOGdSuZVVJPxvlU/6IkG7rr7wE+DhwGngBu7jbbBewbakhJ/Vq99CZsAvYmWcXogeLhqno8yYvAg0n+BngWuG/AOSX1aMnwq+r7wNWLrH+F0ft9SecYv7knNcjwpQYZvtQgw5caZPhSgwxfapDhSw0yfKlBhi81yPClBhm+1CDDlxpk+FKDDF9qkOFLDTJ8qUGGLzXI8KUGGb7UIMOXGmT4UoMMX2qQ4UsNMnypQYYvNWjs8LtTZT+b5PFu+fIkB5McSfJQkrXDjSmpT2fzjH8Ho5NlnnI3cE9VbQXeBHb3OZik4YwVfpLNwB8CX+6WA9wAPNJtshfYOcSAkvo37jP+vcDngV92y+8H3qqqk93yUeDSnmeTNJAlw0/yKWC+qp5ZuHqRTesMt59NMpdk7m1OLHNMSX1a8jTZwPXAp5N8ElgPXMDoFcCGJKu7Z/3NwLHFblxVe4A9ABdk46IPDpIma8ln/Kq6q6o2V9UW4FbgO1X1GeAJ4OZus13AvsGmlNSrlfwd/y+AP0/yMqP3/Pf1M5KkoY3zUv9XqupJ4Mnu+ivANf2PJGlofnNPapDhSw0yfKlBhi81yPClBhm+1CDDlxpk+FKDDF9qkOFLDTJ8qUGGLzXI8KUGGb7UIMOXGmT4UoMMX2qQ4UsNMnypQYYvNcjwpQYZvtQgw5caZPhSgwxfatBYZ9JJ8irwM+Ad4GRVzSTZCDwEbAFeBf6oqt4cZkxJfTqbZ/yPVdW2qprplu8EDlTVVuBAtyzpHLCSl/o3AXu763uBnSsfR9IkjBt+Ad9O8kyS2W7dJVV1HKC7vHiIASX1b9yz5V5fVceSXAzsT/LDcXfQPVDMAqznvGWMKKlvYz3jV9Wx7nIeeJTR6bHfSLIJoLucP8Nt91TVTFXNrGFdP1NLWpElw09yfpL3nboOfAI4BDwG7Oo22wXsG2pISf0a56X+JcCjSU5t/49V9c0kTwMPJ9kNvAbcMtyYkvq0ZPhV9Qpw1SLr/wvYPsRQkoblN/ekBhm+1CDDlxpk+FKDDF9qkOFLDTJ8qUGGLzXI8KUGGb7UIMOXGmT4UoMMX2qQ4UsNMnypQYYvNcjwpQYZvtQgw5caZPhSgwxfapDhSw0yfKlBhi81yPClBo0VfpINSR5J8sMkh5N8JMnGJPuTHOkuLxx6WEn9GPcZ/2+Bb1bV7zA6ndZh4E7gQFVtBQ50y5LOAeOcLfcC4KPAfQBV9Yuqegu4CdjbbbYX2DnUkJL6Nc4z/geBnwD/kOTZJF/uTpd9SVUdB+guLx5wTkk9Gif81cCHgb+vqquBn3MWL+uTzCaZSzL3NieWOaakPo0T/lHgaFUd7JYfYfRA8EaSTQDd5fxiN66qPVU1U1Uza1jXx8ySVmjJ8KvqP4DXk3yoW7UdeBF4DNjVrdsF7BtkQkm9Wz3mdn8GPJBkLfAK8CeMHjQeTrIbeA24ZZgRJfVtrPCr6jlgZpEfbe93HEmT4Df3pAYZvtQgw5caZPhSgwxfapDhSw0yfKlBqarJ7Sz5CfDvwAeA/5zYjhf3mzADOMfpnOPXne0cv11VFy210UTD/9VOk7mqWuwLQU3N4BzOMa05fKkvNcjwpQZNK/w9U9rvQr8JM4BznM45ft0gc0zlPb6k6fKlvtSgiYafZEeSl5K8nGRiR+VNcn+S+SSHFqyb+OHBk1yW5InuEOUvJLljGrMkWZ/kqSTPd3N8oVt/eZKD3RwPdcdfGFySVd3xHB+f1hxJXk3ygyTPJZnr1k3jd2Qih7KfWPhJVgF/B/wBcCVwW5IrJ7T7rwA7Tls3jcODnwQ+V1VXANcBt3f/B5Oe5QRwQ1VdBWwDdiS5DrgbuKeb401g98BznHIHo0O2nzKtOT5WVdsW/PlsGr8jkzmUfVVN5B/wEeBbC5bvAu6a4P63AIcWLL8EbOqubwJemtQsC2bYB9w4zVmA84DvAdcy+qLI6sXurwH3v7n7Zb4BeBzIlOZ4FfjAaesmer8AFwD/RvfZ25BzTPKl/qXA6wuWj3brpmWqhwdPsgW4Gjg4jVm6l9fPMTpI6n7gx8BbVXWy22RS98+9wOeBX3bL75/SHAV8O8kzSWa7dZO+XyZ2KPtJhp9F1jX5J4Uk7wW+Bny2qn46jRmq6p2q2sboGfca4IrFNhtyhiSfAuar6pmFqyc9R+f6qvowo7eityf56AT2eboVHcr+bEwy/KPAZQuWNwPHJrj/0411ePC+JVnDKPoHqurr05wFoEZnRXqS0WcOG5KcOg7jJO6f64FPJ3kVeJDRy/17pzAHVXWsu5wHHmX0YDjp+2VFh7I/G5MM/2lga/eJ7VrgVkaH6J6WiR8ePEkYnYrscFV9aVqzJLkoyYbu+nuAjzP6EOkJ4OZJzVFVd1XV5qrawuj34TtV9ZlJz5Hk/CTvO3Ud+ARwiAnfLzXJQ9kP/aHJaR9SfBL4EaP3k381wf1+FTgOvM3oUXU3o/eSB4Aj3eXGCczxe4xetn4feK7798lJzwL8LvBsN8ch4K+79R8EngJeBv4JWDfB++j3gcenMUe3v+e7fy+c+t2c0u/INmCuu2/+GbhwiDn85p7UIL+5JzXI8KUGGb7UIMOXGmT4UoMMX2qQ4UsNMnypQf8H/MExHSxILF0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1910, row end: 1974\n",
      "col start: 2741, col end: 2805\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1206, row end: 1270\n",
      "col start: 782, col end: 846\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 651, row end: 715\n",
      "col start: 2109, col end: 2173\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1193, row end: 1257\n",
      "col start: 609, col end: 673\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 425, row end: 489\n",
      "col start: 1886, col end: 1950\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1399, row end: 1463\n",
      "col start: 2096, col end: 2160\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1625, row end: 1689\n",
      "col start: 917, col end: 981\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1205, row end: 1269\n",
      "col start: 347, col end: 411\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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ia373WaG37dWEL+9y64nd1xqXYyTmhhifWbJ6FywrXUp+LJbK57oiK886qpHwahISQqj4hIQQKj4hIYQ+fhNYypvZbbvTbhxSeyTfyHa3i21HwrQHbIqYcm8W3JF7J5a2ldPzRbed4N/O3VBOJw+b6P9pb7WxOWtQ3PR+t6usq9/MkssdN+0LKS9Q5umTJiDIb3fd7eRNjpnf9Vm9gBrxlskuVk77SE+ueia5aljjExJCqPiEhBCa+k1gLmPM77hnv+5OmXj23556p5P36Z+8v5wuzRl34c5bTjvl9veeLad7Y27wiv+x3ZR9+deNKX5httsp15sy3YA3ds6iGs8PmW663FZ35F78opHxxN+4/2XXJeNbLA1ZKxWnvKAfVm+kvZwWAOS7rHh8Jb+vj6wF1viEhBAqPiEhhIpPSAihj98EtvziiXL6CfR7ufa2u/z1bm97hWlvu/eE8evz6gbbvN6a4tY/aMqdSG1BNbal3LXzumLG8f7xgpllJ0X3XAlrHQD1XPBLN5p2jowV6LPQ4S21bQ/LLboHKXaZ9pFUJ7vzGkk9S2hdIyJPicgJEXlZRB4N9g+IyJMicir49p9wQsgGpR5TvwDg91X1JgB3AfiYiNwM4DEAR1R1D4AjwTYhpA2oZ+28MWA5yJmqzonICQDbADwE4J6g2CEATwP4eFOkJA5/f9aMkutJuLPzhtLz5fRw0orNl3Fj883nzJLUFxZ6nLysZdL3nbDi6k+4XZNFa+mt+e2uG7B4h3Ez/uj2b5XT3RF3afAfzplZg3Y8QgB4aWZrOX36metAGsdVNe6JyA4AtwE4CmA4eCmsvBw2V/8lIWQjUbfii0gXgK8D+F1VrT7i48rfHRCRYyJyLI/s6j8ghDSduhRfROJYVvovquo3gt0XRWQkyB8BMF7pt6p6UFX3qeq+OJKVihBCWsyqPr6ICIDPAzihqp+2sh4H8DCATwbfh5siIbmCyReNVzXl5Z2xXuWFbuOTRzLuOz6Ss7rO/KA4VtHEkLV0992uj79li+kG7BL3IOmSOchfvfhAOZ3Puo9cLG6OuXOz+28mvmaCdA7M+kKStVBPP/7dAH4DwEsisrJqwh9iWeG/KiKPAHgTwIebIyIhpNHU06r/A1wZDW2F+xorDiGkFXDkXhsyvNfM8Ct6Q+bU2k5EjRm9o8c1oxcLpjvvcs5d1urSotm+dM4E8+gbcJcDe/fgaDl96o7qDbe9VXNqM4TR1QuRtwXH6hMSQqj4hIQQmvptyKV5s8Ls0mRH1XJSMGb/ueiQm1esHthCE9YIurhpTZ85747w+9Ybe8vpPThaXWCy4WCNT0gIoeITEkKo+ISEEPr4bcg1f23880jGnTahicq3VHKFivuXM70uwYhVH9RZNXBcXXvBGp+QEELFJySE0NRvQ6RouttKHQknT6XystMSi1QvV+P49tybUqx6PcGo9+0Fa3xCQggVn5AQQsUnJITQx29Dil2WX190O9Jsn9yeuFdKuMEw3d+4xyhJ5bJSKFXcD9DHbzdY4xMSQqj4hIQQmvptSClq3tcS8cbMlSqPoYsu5p1ttbrmfDeglDB5zhJXCbeekII5F2uQ9oL3i5AQQsUnJITQ1G9DLt1s1ifoHHNDXkezxvzufN2ss5sf7HLKFdPGvC8m3fd/vtNs57qrh+EWq5F/YHWxyQaCNT4hIYSKT0gIoeITEkLo47ch8Q9MlNNvnet38lJj5pbm79lUTpeGck45mTLlYkvuuLt8j+W8W0ntcoN5dG+y4ux/YXW5ycZh1RpfRFIi8iMReVFEXhaRPwv27xSRoyJySkS+IiKJ1Y5FCNkY1GPqZwHcq6q3AtgL4AERuQvApwB8RlX3AJgG8EjzxCSENJJ61s5TAPPBZjz4KIB7AfxqsP8QgD8F8LnGi0h8ev6mu5zuSLt9bFM/ZdLDd18op0cn+5xy8Rnzzk/OOFmIZkxXX8d5c/xiyjXq5q+L1y802VDU1bgnItFgpdxxAE8CeB3AjKquOH2jALY1R0RCSKOpS/FVtaiqewFsB7AfwE2VilX6rYgcEJFjInIsj+oLKxJCWsdVdeep6gyApwHcBaBPRFZche0Azlf5zUFV3aeq++JIVipCCGkxq/r4IjIEIK+qMyKSBvB+LDfsPQXgQwC+DOBhAIebKSgxLG4xvvbikPvuLlorXk88tbWcjnvuuN1ll3N7BBGfE6ucSSenXaNu+Gj1wBxkY1NPP/4IgEMiEsWyhfBVVX1CRF4B8GUR+QsAzwP4fBPlJIQ0kHpa9X8M4LYK+89g2d8nhLQZHLnXhixsMeb97Du8pbGsJa47XjcuQXbYncUX6TcNraWM+xhELpnfRawBf+q1CGV7zY7O1cUmGwiO1SckhFDxCQkhNPXbkC2f/aFJN/lcFx59bzmtjKH93wbW+ISEECo+ISGEik9ICKGPT2pjL8Pljf4TDtxrW1jjExJCqPiEhBCa+qRuikm3Py8zaCbtDLZaGLImWOMTEkKo+ISEECo+ISGEPj6pScEK7JGccQNx+N17pH1gjU9ICKHiExJCaOqTmkStQBz5brc7Lz7XYmFIw2CNT0gIoeITEkJo6pPaWA35fsy9fG/FNVRIG8Aan5AQQsUnJIRQ8QkJIfTxSU2iGZPuOu9G3iiMMfpmu1J3jR8slf28iDwRbO8UkaMickpEviIiidWOQQjZGFyNqf8ogBPW9qcAfEZV9wCYBvBIIwUjhDSPukx9EdkO4H8C+EsAvyciAuBeAL8aFDkE4E8BfK4JMpJ1REqmy+7CT7vdd7HBxXK6/1DLRCINoN4a/7MA/gDAipO3CcCMqq4s3DYKYFuDZSOENIlVFV9EPghgXFWfs3dXKFpxNIeIHBCRYyJyLI9spSKEkBZTj6l/N4BfEJEHAaQA9GDZAugTkVhQ628HcL7Sj1X1IICDANAjAxzqRcgGYNUaX1U/oarbVXUHgI8A+K6q/hqApwB8KCj2MIDDTZOSrBuRgvloTJ1PsRAtf0h7sZYBPB/HckPfaSz7/J9vjEiEkGZzVQN4VPVpAE8H6TMA9jdeJEJIs+HIPVKTQodpx02NuY9LNMPHp13hWH1CQggVn5AQQluN1MbqgI0tuFmRfGtFIY2DNT4hIYSKT0gIoeITEkLo45OabHlmtpxe3Nbh5GX6OGKvXWGNT0gIoeITEkJo6pOaLFzTWU4vbnbrCXtUH2kvWOMTEkKo+ISEECo+ISGEPj6pyegHTCz9ZN+ik6dKH79dYY1PSAih4hMSQmjqk9oUjDlf8GLrFbMcudeusMYnJIRQ8QkJITT1SU1S4+YRKU27pn1qjq367QprfEJCCBWfkBBCxSckhNDHJzWJWOucJqdcnz4+z6UQ25W6FF9EzgKYA1AEUFDVfSIyAOArAHYAOAvgl1V1ujliEkIaydWY+j+rqntVdV+w/RiAI6q6B8CRYJsQ0gasxcd/CMChIH0IwC+uXRyy0dCo9Ym4H1HzIe1FvYqvAL4jIs+JyIFg37CqjgFA8L25GQISQhpPvY17d6vqeRHZDOBJEXm13hMEL4oDAJBCxyqlCSGtoK4aX1XPB9/jAL6J5eWxL4rICAAE3+NVfntQVfep6r44ko2RmhCyJlZVfBHpFJHulTSAnwNwHMDjAB4Oij0M4HCzhCTrh5TMJ5pT5xPLmA9pL+ox9YcBfFNEVsr/X1X9tog8C+CrIvIIgDcBfLh5YhJCGsmqiq+qZwDcWmH/FID7miEUIaS5cOQeqY1lxUvRzcqnOTuvXeFYfUJCCBWfkBBCxSckhNDHJzWJZUw62+/69Nl+0wAw0CqBSENgjU9ICKHiExJCaOqT2pSqZynD6rctrPEJCSFUfEJCCE19Uhuraojm3KzkNEfutSus8QkJIVR8QkIIFZ+QEEIfn9TG7s7zqoloFqRNYY1PSAih4hMSQmjqk9pYVYMfiCO6xFh77QprfEJCCBWfkBBCxSckhNDHJzUpWTPw0tOuT98xXmixNKRRsMYnJIRQ8QkJITT1SU06x8zQva7z7vS86EK+1eKQBlFXjS8ifSLyNRF5VUROiMh7RGRARJ4UkVPBd3+zhSWENIZ6Tf2/BfBtVb0Ry8tpnQDwGIAjqroHwJFgmxDSBqxq6otID4D3AfhNAFDVHICciDwE4J6g2CEATwP4eDOEJOtHxGq4j825pr7kzVC+GqH5yAaknhp/F4AJAP8gIs+LyN8Hy2UPq+oYAATfm5soJyGkgdSj+DEAtwP4nKreBmABV2HWi8gBETkmIsfy4DxOQjYC9Sj+KIBRVT0abH8Nyy+CiyIyAgDB93ilH6vqQVXdp6r74kg2QmZCyBpZ1cdX1Qsick5EblDVkwDuA/BK8HkYwCeD78NNlZSsC0uDpm7IDHQ7eYUOE2xz5MWWiUQaQL39+L8D4IsikgBwBsBvYdla+KqIPALgTQAfbo6IhJBGU5fiq+oLAPZVyLqvseIQQloBR+6RmqjVCpTrcePo5/oZiKNd4Vh9QkIIFZ+QEELFJySE0McnNbEDbCZmvTzl2nntCmt8QkIIFZ+QECKqreuSEZEJAG8AGAQw2bITV2YjyABQDh/K4XK1clynqkOrFWqp4pdPKnJMVSsNCAqVDJSDcqyXHDT1CQkhVHxCQsh6Kf7BdTqvzUaQAaAcPpTDpSlyrIuPTwhZX2jqExJCWqr4IvKAiJwUkdMi0rKovCLyBREZF5Hj1r6WhwcXkWtE5KkgRPnLIvLoesgiIikR+ZGIvBjI8WfB/p0icjSQ4ytB/IWmIyLRIJ7jE+slh4icFZGXROQFETkW7FuPZ6QloexbpvgiEgXwfwB8AMDNAD4qIje36PT/COABb996hAcvAPh9Vb0JwF0APhZcg1bLkgVwr6reCmAvgAdE5C4AnwLwmUCOaQCPNFmOFR7Fcsj2FdZLjp9V1b1W99l6PCOtCWWvqi35AHgPgH+1tj8B4BMtPP8OAMet7ZMARoL0CICTrZLFkuEwgPvXUxYAHQD+E8CdWB4oEqt0v5p4/u3Bw3wvgCcAyDrJcRbAoLevpfcFQA+AnyBoe2umHK009bcBOGdtjwb71ot1DQ8uIjsA3Abg6HrIEpjXL2A5SOqTAF4HMKOqK5H0W3V/PgvgD2BC829aJzkUwHdE5DkRORDsa/V9aVko+1YqfqWpXKHsUhCRLgBfB/C7qjq7WvlmoKpFVd2L5Rp3P4CbKhVrpgwi8kEA46r6nL271XIE3K2qt2PZFf2YiLyvBef0WVMo+6uhlYo/CuAaa3s7gPMtPL9PXeHBG42IxLGs9F9U1W+spywAoKozWF4F6S4AfSKyMlW7FffnbgC/ICJnAXwZy+b+Z9dBDqjq+eB7HMA3sfwybPV9WVMo+6uhlYr/LIA9QYttAsBHADzewvP7PI7lsOBAi8KDi4gA+DyAE6r66fWSRUSGRKQvSKcBvB/LjUhPAfhQq+RQ1U+o6nZV3YHl5+G7qvprrZZDRDpFpHslDeDnABxHi++Lql4AcE5Ebgh2rYSyb7wczW408RopHgTwGpb9yT9q4Xm/BGAMQB7Lb9VHsOxLHgFwKvgeaIEcP41ls/XHAF4IPg+2WhYAtwB4PpDjOIA/CfbvAvAjAKcB/DOAZAvv0T0AnlgPOYLzvRh8Xl55NtfpGdkL4Fhwb/4fgP5myMGRe4SEEI7cIySEUPEJCSFUfEJCCBWfkBBCxSckhFDxCQkhVHxCQggVn5AQ8l+ohNHkjGNSZwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 682, row end: 746\n",
      "col start: 1830, col end: 1894\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1197, row end: 1261\n",
      "col start: 2474, col end: 2538\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 342, row end: 406\n",
      "col start: 1769, col end: 1833\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1617, row end: 1681\n",
      "col start: 391, col end: 455\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1564, row end: 1628\n",
      "col start: 1471, col end: 1535\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1188, row end: 1252\n",
      "col start: 1118, col end: 1182\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1105, row end: 1169\n",
      "col start: 1897, col end: 1961\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1285, row end: 1349\n",
      "col start: 368, col end: 432\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1102, row end: 1166\n",
      "col start: 2086, col end: 2150\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 992, row end: 1056\n",
      "col start: 2332, col end: 2396\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 523, row end: 587\n",
      "col start: 1431, col end: 1495\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 150, row end: 214\n",
      "col start: 1747, col end: 1811\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1685, row end: 1749\n",
      "col start: 923, col end: 987\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 903, row end: 967\n",
      "col start: 1384, col end: 1448\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1212, row end: 1276\n",
      "col start: 586, col end: 650\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 2154, row end: 2218\n",
      "col start: 2985, col end: 3049\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 327, row end: 391\n",
      "col start: 1748, col end: 1812\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 472, row end: 536\n",
      "col start: 1478, col end: 1542\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1323, row end: 1387\n",
      "col start: 1290, col end: 1354\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1345, row end: 1409\n",
      "col start: 884, col end: 948\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1155, row end: 1219\n",
      "col start: 2666, col end: 2730\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1628, row end: 1692\n",
      "col start: 1193, col end: 1257\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1887, row end: 1951\n",
      "col start: 2701, col end: 2765\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1202, row end: 1266\n",
      "col start: 407, col end: 471\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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gU8C3s2kDbgYeyVbZCtzVjAJFpPHq3eM/AHwNmMymFwND7l7Opg8BlzS4NhFpkhmDb2afBgbd/dn87ClW9Wkuv9nMdprZzhJjF1imiDTSjD+TDdwEfMbM7gC6gAVUegB9Ztae7fUHgMNTXdjdtwBbABbYoilfHESktWbc47v7ve4+4O4rgc8DP3f3LwJPAZ/NVtsIPNq0KkWkoWZzHP+vgb8ys9eojPkfbExJItJs9XT1q9z9aeDprL0PuKHxJYlIs+nMPZEEKfgiCVLwRRKk4IskSMEXSZCCL5IgBV8kQQq+SIIUfJEEKfgiCVLwRRKk4IskSMEXSZCCL5IgBV8kQQq+SIIUfJEEKfgiCVLwRRKk4IskSMEXSZCCL5IgBV8kQQq+SIIUfJEE1fVLOma2HxgGJoCyu28ws0XAQ8BKYD/wx+5+sjllikgjnc8e/xPuvs7dN2TT9wDb3X01sD2bFpH3gdl09e8EtmbtrcBdsy9HRFqh3uA78KSZPWtmm7N5S939CED2v78ZBYpI49X7a7k3ufthM+sHtpnZb+rdQPZCsRmgi+4LKFFEGq2uPb67H87+DwI/pvLz2MfMbDlA9n9wmstucfcN7r6hSGdjqhaRWZkx+GY238x6z7WBTwIvAY8BG7PVNgKPNqtIEWmserr6S4Efm9m59f/d3X9iZs8AD5vZJuAA8LnmlSkijTRj8N19H3DdFPPfAm5pRlEi0lw6c08kQQq+SIIUfJEEKfgiCVLwRRKk4IskSMEXSZCCL5IgBV8kQQq+SIIUfJEEKfgiCVLwRRKk4IskSMEXSZCCL5IgBV8kQQq+SIIUfJEEKfgiCVLwRRKk4IskSMEXSZCCL5IgBV8kQXUF38z6zOwRM/uNme02s4+Y2SIz22Zme7P/C5tdrIg0Rr17/H8EfuLuH6Dyc1q7gXuA7e6+GtieTYvI+0A9v5a7APgY8CCAu4+7+xBwJ7A1W20rcFezihSRxqpnj38FcBz4rpk9b2bfzn4ue6m7HwHI/vc3sU4RaaB6gt8OfAj4lruvB85wHt16M9tsZjvNbGeJsQssU0QaqZ7gHwIOufuObPoRKi8Ex8xsOUD2f3CqC7v7Fnff4O4binQ2omYRmaUZg+/uR4GDZrYmm3UL8ArwGLAxm7cReLQpFYpIw7XXud5fAN8zsw5gH/AlKi8aD5vZJuAA8LnmlCgijVZX8N19F7BhikW3NLYcEWkFnbknkiAFXyRBCr5IghR8kQQp+CIJUvBFEqTgiyTI3L11GzM7DrwBXAycaNmGp/ZeqAFURy3VETvfOi539yUzrdTS4Fc3arbT3ac6ISipGlSH6pirOtTVF0mQgi+SoLkK/pY52m7ee6EGUB21VEesKXXMyRhfROaWuvoiCWpp8M3sdjPbY2avmVnLvpXXzL5jZoNm9lJuXsu/HtzMLjWzp7KvKH/ZzO6ei1rMrMvMfmVmL2R1fD2bv8rMdmR1PJR9/0LTmVkh+z7Hx+eqDjPbb2YvmtkuM9uZzZuL50hLvsq+ZcE3swLwT8AfAVcDXzCzq1u0+X8Fbq+ZNxdfD14Gvurua4EbgS9n90GraxkDbnb364B1wO1mdiNwH3B/VsdJYFOT6zjnbipf2X7OXNXxCXdflzt8NhfPkdZ8lb27t+QP+Ajw09z0vcC9Ldz+SuCl3PQeYHnWXg7saVUtuRoeBW6by1qAbuA54MNUThRpn+rxauL2B7In883A44DNUR37gYtr5rX0cQEWAL8le++tmXW0sqt/CXAwN30omzdX5vTrwc1sJbAe2DEXtWTd611UviR1G/A6MOTu5WyVVj0+DwBfAyaz6cVzVIcDT5rZs2a2OZvX6selZV9l38rg2xTzkjykYGY9wA+Br7j7qbmowd0n3H0dlT3uDcDaqVZrZg1m9mlg0N2fzc9udR2Zm9z9Q1SGol82s4+1YJu1ZvVV9uejlcE/BFyamx4ADrdw+7Xq+nrwRjOzIpXQf8/dfzSXtQB45VeRnqbynkOfmZ37HsZWPD43AZ8xs/3AD6h09x+Ygzpw98PZ/0Hgx1ReDFv9uMzqq+zPRyuD/wywOnvHtgP4PJWv6J4rLf96cDMzKj9FttvdvzlXtZjZEjPry9rzgFupvIn0FPDZVtXh7ve6+4C7r6TyfPi5u3+x1XWY2Xwz6z3XBj4JvESLHxdv5VfZN/tNk5o3Ke4AXqUynvzbFm73+8ARoETlVXUTlbHkdmBv9n9RC+r4KJVu66+BXdnfHa2uBbgWeD6r4yXg77L5VwC/Al4D/gPobOFj9HHg8bmoI9veC9nfy+eem3P0HFkH7Mwem/8EFjajDp25J5IgnbknkiAFXyRBCr5IghR8kQQp+CIJUvBFEqTgiyRIwRdJ0P8DSTijZxOCYtgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 644, row end: 708\n",
      "col start: 2234, col end: 2298\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 249, row end: 313\n",
      "col start: 1745, col end: 1809\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAP4AAAD8CAYAAABXXhlaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAADUBJREFUeJzt3X/oXfV9x/Hny/z0JzGtSjCyWAhO/5ixfNEUR2lNLZnrqn/oUMqWjUD+ccOygtUNBoX9of9U98cYhOqaP1zV2XYRKW1DqozBiMaqNZraqHMakhrXKW1tTYx57497kn2TfeP3Jt9z7zV8ng/4cn7cc3NeeO/rnnPuPZ6TqkJSW06bdABJ42fxpQZZfKlBFl9qkMWXGmTxpQZZfKlBcyp+krVJXkrycpI7+golabRysifwJJkH/Ay4FtgNPAXcUlUv9hdP0ijMn8NzrwRerqpXAZI8CFwPHLf4C7OoFnPmHFYp6cO8x7scqP2Zbbm5FP9C4I1p07uBqz7sCYs5k6uyZg6rlPRhttXWoZabS/Fn+lT5f8cNSTYAGwAWc8YcViepL3P5cm83cNG06eXAnmMXqqqNVTVVVVMLWDSH1Unqy1yK/xSwMsnFSRYCNwOP9hNL0iid9K5+VR1M8hfAD4B5wP1V9UJvySSNzFyO8amq7wHf6ymLpDHxzD2pQRZfapDFlxpk8aUGWXypQRZfapDFlxpk8aUGWXypQRZfapDFlxpk8aUGWXypQRZfapDFlxpk8aUGWXypQRZfapDFlxpk8aUGWXypQRZfapDFlxpk8aUGWXypQbMWP8n9SfYl2TFt3tIkW5Ls6obnjjampD4Ns8X/JrD2mHl3AFuraiWwtZuWdIqYtfhV9W/A/xwz+3pgUze+Cbih51ySRuhkj/EvqKq9AN3w/P4iSRq1Od0tdxhJNgAbABZzxqhXJ2kIJ7vFfzPJMoBuuO94C1bVxqqaqqqpBSw6ydVJ6tPJFv9RYF03vg7Y3E8cSeMwzM953wL+A7gkye4k64G7gGuT7AKu7aYlnSJmPcavqluO89CanrNIGhPP3JMaZPGlBll8qUEWX2qQxZcaZPGlBll8qUEWX2qQxZcaZPGlBll8qUEWX2qQxZcaZPGlBll8qUEWX2qQxZcaZPGlBll8qUEWX2qQxZcaZPGlBll8qUEWX2qQxZcaNMwttC5K8niSnUleSHJbN39pki1JdnXDc0cfV1IfhtniHwS+UlWXAquBW5NcBtwBbK2qlcDWblrSKWDW4lfV3qr6cTf+K2AncCFwPbCpW2wTcMOoQkrq1wkd4ydZAVwBbAMuqKq9MPhwAM7vO5yk0Ri6+EnOAr4NfLmqfnkCz9uQZHuS7e+z/2QySurZUMVPsoBB6R+oqu90s99Msqx7fBmwb6bnVtXGqpqqqqkFLOojs6Q5GuZb/QD3ATur6uvTHnoUWNeNrwM29x9P0ijMH2KZq4E/AZ5P8mw376+Bu4CHk6wHXgduGk1ESX2btfhV9e9AjvPwmn7jSBoHz9yTGmTxpQZZfKlBFl9qkMWXGmTxpQZZfKlBFl9qkMWXGmTxpQZZfKlBFl9qkMWXGmTxpQZZfKlBFl9qkMWXGmTxpQZZfKlBFl9qkMWXGmTxpQZZfKlBFl9qkMWXGjTMvfMWJ3kyyXNJXkjytW7+xUm2JdmV5KEkC0cfV1Ifhtni7weuqarLgVXA2iSrgbuBe6pqJfA2sH50MSX1adbi18Cvu8kF3V8B1wCPdPM3ATeMJKGk3g11jJ9kXnen3H3AFuAV4J2qOtgtshu4cDQRJfVtqOJX1QdVtQpYDlwJXDrTYjM9N8mGJNuTbH+f/SefVFJvTuhb/ap6B3gCWA0sSXL4NtvLgT3Hec7GqpqqqqkFLJpLVkk9GeZb/fOSLOnGTwc+B+wEHgdu7BZbB2weVUhJ/Zo/+yIsAzYlmcfgg+LhqnosyYvAg0n+DngGuG+EOSX1aNbiV9VPgCtmmP8qg+N9SacYz9yTGmTxpQZZfKlBFl9qkMWXGmTxpQZZfKlBFl9qkMWXGmTxpQZZfKlBFl9qkMWXGmTxpQZZfKlBFl9qkMWXGmTxpQZZfKlBFl9qkMWXGmTxpQZZfKlBFl9qkMWXGjR08btbZT+T5LFu+uIk25LsSvJQkoWjiympTyeyxb+Nwc0yD7sbuKeqVgJvA+v7DCZpdIYqfpLlwB8C3+imA1wDPNItsgm4YRQBJfVv2C3+vcDtwKFu+mPAO1V1sJveDVzYczZJIzJr8ZN8AdhXVU9Pnz3DonWc529Isj3J9vfZf5IxJfVp1ttkA1cDX0xyHbAYOIfBHsCSJPO7rf5yYM9MT66qjcBGgHOydMYPB0njNesWv6rurKrlVbUCuBn4UVV9CXgcuLFbbB2weWQpJfVqLr/jfxX4qyQvMzjmv6+fSJJGbZhd/SOq6gngiW78VeDK/iNJGjXP3JMaZPGlBll8qUEWX2qQxZcaZPGlBll8qUEWX2qQxZcaZPGlBll8qUEWX2qQxZcaZPGlBll8qUEWX2qQxZcaZPGlBll8qUEWX2qQxZcaZPGlBll8qUEWX2qQxZcaNNSddJK8BvwK+AA4WFVTSZYCDwErgNeAP66qt0cTU1KfTmSL/9mqWlVVU930HcDWqloJbO2mJZ0C5rKrfz2wqRvfBNww9ziSxmHY4hfwwyRPJ9nQzbugqvYCdMPzRxFQUv+GvVvu1VW1J8n5wJYkPx12Bd0HxQaAxZxxEhEl9W2oLX5V7emG+4DvMrg99ptJlgF0w33Hee7GqpqqqqkFLOontaQ5mbX4Sc5McvbhceDzwA7gUWBdt9g6YPOoQkrq1zC7+hcA301yePl/rqrvJ3kKeDjJeuB14KbRxZTUp1mLX1WvApfPMP8XwJpRhJI0Wp65JzXI4ksNsvhSgyy+1CCLLzXI4ksNsvhSgyy+1CCLLzXI4ksNsvhSgyy+1CCLLzXI4ksNsvhSgyy+1CCLLzXI4ksNsvhSgyy+1CCLLzXI4ksNsvhSgyy+1CCLLzVoqOInWZLkkSQ/TbIzyaeSLE2yJcmubnjuqMNK6sewW/y/B75fVb/L4HZaO4E7gK1VtRLY2k1LOgXMeu+8JOcAnwb+DKCqDgAHklwPfKZbbBPwBPDVUYSUWnH7K88fGZ9HHfXYgZp3ZHxhPjjqsbNPew+AP/2jd4dazzBb/E8AbwH/lOSZJN/obpd9QVXtBeiG5w+1RkkTN0zx5wOfBP6xqq4A3uUEduuTbEiyPcn299l/kjEl9WmY4u8GdlfVtm76EQYfBG8mWQbQDffN9OSq2lhVU1U1tYBFfWSWNEezHuNX1c+TvJHkkqp6CVgDvNj9rQPu6oabR5pUasCa0//v2P2DOnTUY7+t3xwZf6+OPsafRwBYlKO/FzieWYvf+UvggSQLgVeBP2ewt/BwkvXA68BNQ/5bkiZsqOJX1bPA1AwPrek3jqRxGHaLL2kM9h789ZHxtw4dXc/fHFpwZPwAi4967FANvq777aFfDLUeT9mVGmTxpQZZfKlBHuNLHyG7Dp411HILOfrnvAWnHQDgtCF/znOLLzXI4ksNStVwuwa9rCx5C/gv4OPAf49txTP7KGQAcxzLHEc70Ry/U1XnzbbQWIt/ZKXJ9qqa6YSgpjKYwxyTyuGuvtQgiy81aFLF3zih9U73UcgA5jiWOY42khwTOcaXNFnu6ksNGmvxk6xN8lKSl5OM7aq8Se5Psi/Jjmnzxn558CQXJXm8u0T5C0lum0SWJIuTPJnkuS7H17r5FyfZ1uV4qLv+wsglmdddz/GxSeVI8lqS55M8m2R7N28S75GxXMp+bMVPMg/4B+APgMuAW5JcNqbVfxNYe8y8SVwe/CDwlaq6FFgN3Nr9Nxh3lv3ANVV1ObAKWJtkNXA3cE+X421g/YhzHHYbg0u2HzapHJ+tqlXTfj6bxHtkPJeyr6qx/AGfAn4wbfpO4M4xrn8FsGPa9EvAsm58GfDSuLJMy7AZuHaSWYAzgB8DVzE4UWT+TK/XCNe/vHszXwM8BmRCOV4DPn7MvLG+LsA5wH/Sffc2yhzj3NW/EHhj2vTubt6kTPTy4ElWAFcA2yaRpdu9fpbBRVK3AK8A71TVwW6Rcb0+9wK3A4cvMPexCeUo4IdJnk6yoZs37tdlbJeyH2fxM8O8Jn9SSHIW8G3gy1X1y0lkqKoPqmoVgy3ulcClMy02ygxJvgDsq6qnp88ed47O1VX1SQaHorcm+fQY1nmsOV3K/kSMs/i7gYumTS8H9oxx/cca6vLgfUuygEHpH6iq70wyC0BVvcPgLkirgSVJDv+v2uN4fa4GvpjkNeBBBrv7904gB1W1pxvuA77L4MNw3K/LnC5lfyLGWfyngJXdN7YLgZuBR8e4/mM9yuCy4DCmy4MnCXAfsLOqvj6pLEnOS7KkGz8d+ByDL5EeB24cV46qurOqllfVCgbvhx9V1ZfGnSPJmUnOPjwOfB7YwZhfl6r6OfBGkku6WYcvZd9/jlF/aXLMlxTXAT9jcDz5N2Nc77eAvcD7DD5V1zM4ltwK7OqGS8eQ4/cZ7Lb+BHi2+7tu3FmA3wOe6XLsAP62m/8J4EngZeBfgEVjfI0+Azw2iRzd+p7r/l44/N6c0HtkFbC9e23+FTh3FDk8c09qkGfuSQ2y+FKDLL7UIIsvNcjiSw2y+FKDLL7UIIsvNeh/AaD5WIkKFU53AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1142, row end: 1206\n",
      "col start: 1362, col end: 1426\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1216, row end: 1280\n",
      "col start: 431, col end: 495\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1154, row end: 1218\n",
      "col start: 1118, col end: 1182\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 267, row end: 331\n",
      "col start: 1584, col end: 1648\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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Uro2Ij9Poit4u6RM1bLNdR0PZr0SdwT8AXNQ0vwE4WOP225UaHrxqkgZphP7BiPh+L2sBiMZdkZ6kccxhraS5cRjreH+uBT4naT/wEI3m/n09qIOIOFg8TgKP0vgyrPt96Wgo+5WoM/hPA5uKI7ZDwK00hujuldqHB5ckGrci2xsR3+xVLZLOk7S2mF4NfJrGQaQngJvrqiMi7o6IDRGxkcbn4acR8cW665C0RtJZc9PAZ4A91Py+RJ1D2Xf7oEnbQYobgF/R6E/+XY3b/Q5wCJii8a26nUZfchzYVzyuq6GOP6HRbH0BeK74d0PdtQB/DDxb1LEH+Pti+SXAU8ArwH8AwzW+R58EHu9FHcX2ni/+vTj32ezRZ2QzMFG8Nz8AzulGHT5zzywhn7lnlpCDb5aQg2+WkINvlpCDb5aQg2+WkINvlpCDb5bQ/wOpJwCGIe2PbgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1526, row end: 1590\n",
      "col start: 594, col end: 658\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 569, row end: 633\n",
      "col start: 1870, col end: 1934\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1484, row end: 1548\n",
      "col start: 2092, col end: 2156\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1126, row end: 1190\n",
      "col start: 2587, col end: 2651\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAP4AAAD8CAYAAABXXhlaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAADOVJREFUeJzt3X+o3fV9x/Hny/ysv4hpVYKRRUvo4h8zlotaHGU1tWSuNPlDi1JGGIH84zbLCp12MCjsjwqjuj/GIFTX/OGqzlYjUtqGW2UMRjRWbaOpjXVOQ6K323R1haWJfe+P8025zW68J/d+zzlmn+cDwjnf7/0ev2967vP8uqffb6oKSW05a9IDSBo/w5caZPhSgwxfapDhSw0yfKlBhi81aFHhJ9mc5KUkLye5o6+hJI1WFvoFniRLgJ8ANwCHgKeBW6vqxf7GkzQKSxdx26uBl6vqFYAkDwBbgFOGvzwraiXnLGKXkt7L//ALfllHM992iwn/EuD1WcuHgGve6wYrOYdrsmkRu5T0XvbW9FDbLSb8uR5V/s/7hiQ7gB0AKzl7EbuT1JfFfLh3CLh01vJa4PDJG1XVzqqaqqqpZaxYxO4k9WUx4T8NrE9yWZLlwC3AY/2MJWmUFvxSv6qOJ/lj4LvAEuC+qnqht8kkjcxi3uNTVd8Gvt3TLJLGxG/uSQ0yfKlBhi81yPClBhm+1CDDlxpk+FKDDF9qkOFLDTJ8qUGGLzXI8KUGGb7UIMOXGmT4UoMMX2qQ4UsNMnypQYYvNcjwpQYZvtQgw5caZPhSgwxfapDhSw2aN/wk9yWZSbJ/1rrVSfYkOdhdXjDaMSX1aZhn/K8Dm09adwcwXVXrgeluWdIZYt7wq+qfgP88afUWYFd3fRewtee5JI3QQt/jX1xVRwC6y4v6G0nSqC3qbLnDSLID2AGwkrNHvTtJQ1joM/6bSdYAdJczp9qwqnZW1VRVTS1jxQJ3J6lPCw3/MWBbd30bsLufcSSNwzB/zvsG8C/AR5IcSrId+ApwQ5KDwA3dsqQzxLzv8avq1lP8aFPPs0gaE7+5JzXI8KUGGb7UIMOXGmT4UoMMX2qQ4UsNMnypQYYvNcjwpQYZvtQgw5caZPhSgwxfapDhSw0yfKlBhi81yPClBhm+1CDDlxpk+FKDDF9qkOFLDTJ8qUGGLzVomFNoXZrkiSQHkryQ5PZu/eoke5Ic7C4vGP24kvowzDP+ceALVbUBuBa4LckVwB3AdFWtB6a7ZUlngHnDr6ojVfWD7vo7wAHgEmALsKvbbBewdVRDSurXab3HT7IOuArYC1xcVUdg8OAAXNT3cJJGY+jwk5wLfBP4fFX9/DRutyPJviT7jnF0ITNK6tlQ4SdZxiD6+6vqW93qN5Os6X6+BpiZ67ZVtbOqpqpqahkr+phZ0iIN86l+gHuBA1X11Vk/egzY1l3fBuzufzxJo7B0iG2uA/4Q+FGS57p1XwK+AjyUZDvwGnDzaEaU1Ld5w6+qfwZyih9v6nccSePgN/ekBhm+1CDDlxpk+FKDDF9qkOFLDTJ8qUGGLzXI8KUGGb7UIMOXGmT4UoMMX2qQ4UsNMnypQYYvNcjwpQYZvtQgw5caZPhSgwxfapDhSw0yfKlBhi81yPClBg1z7ryVSZ5K8nySF5J8uVt/WZK9SQ4meTDJ8tGPK6kPwzzjHwWur6orgY3A5iTXAncBd1fVeuAtYPvoxpTUp3nDr4H/7haXdf8KuB54uFu/C9g6kgkl9W6o9/hJlnRnyp0B9gA/Bd6uquPdJoeAS0YzoqS+DRV+Vb1bVRuBtcDVwIa5Npvrtkl2JNmXZN8xji58Ukm9Oa1P9avqbeBJ4FpgVZITp9leCxw+xW12VtVUVU0tY8ViZpXUk2E+1b8wyaru+geATwIHgCeAm7rNtgG7RzWkpH4tnX8T1gC7kixh8EDxUFU9nuRF4IEkfwU8C9w7wjkl9Wje8Kvqh8BVc6x/hcH7fUlnGL+5JzXI8KUGGb7UIMOXGmT4UoMMX2qQ4UsNMnypQYYvNcjwpQYZvtQgw5caZPhSgwxfapDhSw0yfKlBhi81yPClBhm+1CDDlxpk+FKDDF9qkOFLDTJ8qUGGLzVo6PC7U2U/m+TxbvmyJHuTHEzyYJLloxtTUp9O5xn/dgYnyzzhLuDuqloPvAVs73MwSaMzVPhJ1gJ/AHytWw5wPfBwt8kuYOsoBpTUv2Gf8e8Bvgj8qlv+IPB2VR3vlg8Bl/Q8m6QRmTf8JJ8GZqrqmdmr59i0TnH7HUn2Jdl3jKMLHFNSn+Y9TTZwHfCZJDcCK4HzGbwCWJVkafesvxY4PNeNq2onsBPg/Kye88FB0njN+4xfVXdW1dqqWgfcAny/qj4HPAHc1G22Ddg9sikl9Woxf8f/c+DPkrzM4D3/vf2MJGnUhnmp/2tV9STwZHf9FeDq/keSNGp+c09qkOFLDTJ8qUGGLzXI8KUGGb7UIMOXGmT4UoMMX2qQ4UsNMnypQYYvNcjwpQYZvtQgw5caZPhSgwxfapDhSw0yfKlBhi81yPClBhm+1CDDlxpk+FKDDF9q0FBn0knyKvAO8C5wvKqmkqwGHgTWAa8Cn62qt0YzpqQ+nc4z/ieqamNVTXXLdwDTVbUemO6WJZ0BFvNSfwuwq7u+C9i6+HEkjcOw4RfwvSTPJNnRrbu4qo4AdJcXjWJASf0b9my511XV4SQXAXuS/HjYHXQPFDsAVnL2AkaU1LehnvGr6nB3OQM8wuD02G8mWQPQXc6c4rY7q2qqqqaWsaKfqSUtyrzhJzknyXknrgOfAvYDjwHbus22AbtHNaSkfg3zUv9i4JEkJ7b/h6r6TpKngYeSbAdeA24e3ZiS+jRv+FX1CnDlHOv/A9g0iqEkjZbf3JMaZPhSgwxfapDhSw0yfKlBhi81yPClBhm+1CDDlxpk+FKDDF9qkOFLDTJ8qUGGLzXI8KUGGb7UIMOXGmT4UoMMX2qQ4UsNMnypQYYvNcjwpQYZvtQgw5caNFT4SVYleTjJj5McSPKxJKuT7ElysLu8YNTDSurHsM/4fwN8p6p+m8HptA4AdwDTVbUemO6WJZ0Bhjlb7vnAx4F7Aarql1X1NrAF2NVttgvYOqohJb23Nx7dwBuPbuDYh1cOtf0wz/iXAz8D/j7Js0m+1p0u++KqOgLQXV600KEljdcw4S8FPgr8XVVdBfyC03hZn2RHkn1J9h3j6ALHlNSnYcI/BByqqr3d8sMMHgjeTLIGoLucmevGVbWzqqaqamoZK/qYWdIizRt+Vb0BvJ7kI92qTcCLwGPAtm7dNmD3SCaUNK/zVh7lvJVHWXLWr4bafumQ/90/Ae5Pshx4BfgjBg8aDyXZDrwG3LyAeSVNwFDhV9VzwNQcP9rU7ziSxmHYZ3xJ72N/evk0AF9a8c5Q2/uVXalBhi81yPClBvkeX/p/4LPn/hcAf33Wu0Nt7zO+1CDDlxqUqhrfzpKfAf8GfAj497HteG7vhxnAOU7mHL/pdOf4raq6cL6Nxhr+r3ea7Kuqub4Q1NQMzuEck5rDl/pSgwxfatCkwt85of3O9n6YAZzjZM7xm0Yyx0Te40uaLF/qSw0aa/hJNid5KcnLScZ2VN4k9yWZSbJ/1rqxHx48yaVJnugOUf5CktsnMUuSlUmeSvJ8N8eXu/WXJdnbzfFgd/yFkUuypDue4+OTmiPJq0l+lOS5JPu6dZP4HRnLoezHFn6SJcDfAr8PXAHcmuSKMe3+68Dmk9ZN4vDgx4EvVNUG4Frgtu5/g3HPchS4vqquBDYCm5NcC9wF3N3N8RawfcRznHA7g0O2nzCpOT5RVRtn/flsEr8j4zmUfVWN5R/wMeC7s5bvBO4c4/7XAftnLb8ErOmurwFeGtcss2bYDdwwyVmAs4EfANcw+KLI0rnurxHuf233y3w98DiQCc3xKvChk9aN9X4Bzgf+le6zt1HOMc6X+pcAr89aPtStm5SJHh48yTrgKmDvJGbpXl4/x+AgqXuAnwJvV9XxbpNx3T/3AF8EThws7oMTmqOA7yV5JsmObt2475exHcp+nOFnjnVN/kkhybnAN4HPV9XPJzFDVb1bVRsZPONeDWyYa7NRzpDk08BMVT0ze/W45+hcV1UfZfBW9LYkHx/DPk+2qEPZn45xhn8IuHTW8lrg8Bj3f7KhDg/etyTLGER/f1V9a5KzANTgrEhPMvjMYVWSE/9X7XHcP9cBn0nyKvAAg5f790xgDqrqcHc5AzzC4MFw3PfLog5lfzrGGf7TwPruE9vlwC0MDtE9KWM/PHiSMDgV2YGq+uqkZklyYZJV3fUPAJ9k8CHSE8BN45qjqu6sqrVVtY7B78P3q+pz454jyTlJzjtxHfgUsJ8x3y81zkPZj/pDk5M+pLgR+AmD95N/Mcb9fgM4Ahxj8Ki6ncF7yWngYHe5egxz/C6Dl60/BJ7r/t047lmA3wGe7ebYD/xlt/5y4CngZeAfgRVjvI9+D3h8EnN0+3u++/fCid/NCf2ObAT2dffNo8AFo5jDb+5JDfKbe1KDDF9qkOFLDTJ8qUGGLzXI8KUGGb7UIMOXGvS/Xns+h/XrAQgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1649, row end: 1713\n",
      "col start: 306, col end: 370\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 975, row end: 1039\n",
      "col start: 2254, col end: 2318\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 597, row end: 661\n",
      "col start: 1844, col end: 1908\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 643, row end: 707\n",
      "col start: 1952, col end: 2016\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1261, row end: 1325\n",
      "col start: 1796, col end: 1860\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 556, row end: 620\n",
      "col start: 1456, col end: 1520\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 541, row end: 605\n",
      "col start: 1574, col end: 1638\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 319, row end: 383\n",
      "col start: 1582, col end: 1646\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAP4AAAD8CAYAAABXXhlaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAADKlJREFUeJzt3X+o3fV9x/Hna/lZbSWmVQlGFguh0z9mLBe1OMpqasm6UvOHDqWMMAL3HzcsK3S6waCwP+o/1f0xBqG65g9XdbYuIqVtSJUyGNFr1Taa2ljnNCTzdpvSrrDU2Pf+ON+U2+zGe3Lv93tOw+f5gHDO93u/h++bnPs8v+7h+01VIaktvzXtASRNnuFLDTJ8qUGGLzXI8KUGGb7UIMOXGrSi8JPsSPJSkpeT3NnXUJKGleV+gSfJKuBHwI3AUeBp4LaqerG/8SQNYfUKbnsN8HJVvQKQ5EHgJuCM4a/NulrP+SvYpaR387/8nF/UiSy13UrCvxR4fcHyUeDad7vBes7n2mxfwS4lvZuDdWCs7VYS/mKPKv/vfUOSWWAWYD3nrWB3kvqykg/3jgKXLVjeDBw7faOq2lNVM1U1s4Z1K9idpL6sJPynga1JLk+yFrgVeKyfsSQNadkv9avqZJI/Bb4FrALur6oXeptM0mBW8h6fqvoG8I2eZpE0IX5zT2qQ4UsNMnypQYYvNcjwpQYZvtQgw5caZPhSgwxfapDhSw0yfKlBhi81yPClBhm+1CDDlxpk+FKDDF9qkOFLDTJ8qUGGLzXI8KUGGb7UIMOXGmT4UoMMX2rQkuEnuT/JfJJDC9ZtTLI/yZHu8sJhx5TUp3Ge8b8C7Dht3Z3AgaraChzoliWdI5YMv6q+C/z3aatvAvZ21/cCO3ueS9KAlvse/5KqOg7QXV7c30iShrais+WOI8ksMAuwnvOG3p2kMSz3Gf+NJJsAusv5M21YVXuqaqaqZtawbpm7k9Sn5Yb/GLCru74L2NfPOJImYZw/530V+FfgQ0mOJtkNfBG4MckR4MZuWdI5Ysn3+FV12xl+tL3nWSRNiN/ckxpk+FKDDF9qkOFLDTJ8qUGGLzXI8KUGGb7UIMOXGmT4UoMMX2qQ4UsNMnypQYYvNcjwpQYZvtQgw5caZPhSgwxfapDhSw0yfKlBhi81yPClBhm+1CDDlxo0zim0LkvyRJLDSV5Icke3fmOS/UmOdJcXDj+upD6M84x/EvhcVV0BXAfcnuRK4E7gQFVtBQ50y5LOAUuGX1XHq+p73fWfAYeBS4GbgL3dZnuBnUMNKalfZ/UeP8kW4GrgIHBJVR2H0YMDcHHfw0kaxtjhJ3kv8DXgs1X107O43WySuSRzb3NiOTNK6tlY4SdZwyj6B6rq693qN5Js6n6+CZhf7LZVtaeqZqpqZg3r+phZ0gqN86l+gPuAw1X1pQU/egzY1V3fBezrfzxJQ1g9xjbXA38M/CDJc926vwS+CDycZDfwGnDLMCNK6tuS4VfVvwA5w4+39zuOpEnwm3tSgwxfapDhSw0yfKlBhi81yPClBhm+1CDDlxpk+FKDDF9qkOFLDTJ8qUGGLzXI8KUGGb7UIMOXGmT4UoMMX2qQ4UsNMnypQYYvNcjwpQYZvtQgw5caZPhSg8Y5d976JE8leT7JC0m+0K2/PMnBJEeSPJRk7fDjSurDOM/4J4AbquoqYBuwI8l1wN3APVW1FXgT2D3cmJL6tGT4NfI/3eKa7l8BNwCPdOv3AjsHmVBS78Z6j59kVXem3HlgP/Bj4K2qOtltchS4dJgRJfVtrPCr6p2q2gZsBq4Brlhss8Vum2Q2yVySubc5sfxJJfXmrD7Vr6q3gCeB64ANSU6dZnszcOwMt9lTVTNVNbOGdSuZVVJPxvlU/6IkG7rr7wE+DhwGngBu7jbbBewbakhJ/Vq99CZsAvYmWcXogeLhqno8yYvAg0n+BngWuG/AOSX1aMnwq+r7wNWLrH+F0ft9SecYv7knNcjwpQYZvtQgw5caZPhSgwxfapDhSw0yfKlBhi81yPClBhm+1CDDlxpk+FKDDF9qkOFLDTJ8qUGGLzXI8KUGGb7UIMOXGmT4UoMMX2qQ4UsNMnypQYYvNWjs8LtTZT+b5PFu+fIkB5McSfJQkrXDjSmpT2fzjH8Ho5NlnnI3cE9VbQXeBHb3OZik4YwVfpLNwB8CX+6WA9wAPNJtshfYOcSAkvo37jP+vcDngV92y+8H3qqqk93yUeDSnmeTNJAlw0/yKWC+qp5ZuHqRTesMt59NMpdk7m1OLHNMSX1a8jTZwPXAp5N8ElgPXMDoFcCGJKu7Z/3NwLHFblxVe4A9ABdk46IPDpIma8ln/Kq6q6o2V9UW4FbgO1X1GeAJ4OZus13AvsGmlNSrlfwd/y+AP0/yMqP3/Pf1M5KkoY3zUv9XqupJ4Mnu+ivANf2PJGlofnNPapDhSw0yfKlBhi81yPClBhm+1CDDlxpk+FKDDF9qkOFLDTJ8qUGGLzXI8KUGGb7UIMOXGmT4UoMMX2qQ4UsNMnypQYYvNcjwpQYZvtQgw5caZPhSgwxfatBYZ9JJ8irwM+Ad4GRVzSTZCDwEbAFeBf6oqt4cZkxJfTqbZ/yPVdW2qprplu8EDlTVVuBAtyzpHLCSl/o3AXu763uBnSsfR9IkjBt+Ad9O8kyS2W7dJVV1HKC7vHiIASX1b9yz5V5fVceSXAzsT/LDcXfQPVDMAqznvGWMKKlvYz3jV9Wx7nIeeJTR6bHfSLIJoLucP8Nt91TVTFXNrGFdP1NLWpElw09yfpL3nboOfAI4BDwG7Oo22wXsG2pISf0a56X+JcCjSU5t/49V9c0kTwMPJ9kNvAbcMtyYkvq0ZPhV9Qpw1SLr/wvYPsRQkoblN/ekBhm+1CDDlxpk+FKDDF9qkOFLDTJ8qUGGLzXI8KUGGb7UIMOXGmT4UoMMX2qQ4UsNMnypQYYvNcjwpQYZvtQgw5caZPhSgwxfapDhSw0yfKlBhi81yPClBo0VfpINSR5J8sMkh5N8JMnGJPuTHOkuLxx6WEn9GPcZ/2+Bb1bV7zA6ndZh4E7gQFVtBQ50y5LOAeOcLfcC4KPAfQBV9Yuqegu4CdjbbbYX2DnUkJL6Nc4z/geBnwD/kOTZJF/uTpd9SVUdB+guLx5wTkk9Gif81cCHgb+vqquBn3MWL+uTzCaZSzL3NieWOaakPo0T/lHgaFUd7JYfYfRA8EaSTQDd5fxiN66qPVU1U1Uza1jXx8ySVmjJ8KvqP4DXk3yoW7UdeBF4DNjVrdsF7BtkQkm9Wz3mdn8GPJBkLfAK8CeMHjQeTrIbeA24ZZgRJfVtrPCr6jlgZpEfbe93HEmT4Df3pAYZvtQgw5caZPhSgwxfapDhSw0yfKlBqarJ7Sz5CfDvwAeA/5zYjhf3mzADOMfpnOPXne0cv11VFy210UTD/9VOk7mqWuwLQU3N4BzOMa05fKkvNcjwpQZNK/w9U9rvQr8JM4BznM45ft0gc0zlPb6k6fKlvtSgiYafZEeSl5K8nGRiR+VNcn+S+SSHFqyb+OHBk1yW5InuEOUvJLljGrMkWZ/kqSTPd3N8oVt/eZKD3RwPdcdfGFySVd3xHB+f1hxJXk3ygyTPJZnr1k3jd2Qih7KfWPhJVgF/B/wBcCVwW5IrJ7T7rwA7Tls3jcODnwQ+V1VXANcBt3f/B5Oe5QRwQ1VdBWwDdiS5DrgbuKeb401g98BznHIHo0O2nzKtOT5WVdsW/PlsGr8jkzmUfVVN5B/wEeBbC5bvAu6a4P63AIcWLL8EbOqubwJemtQsC2bYB9w4zVmA84DvAdcy+qLI6sXurwH3v7n7Zb4BeBzIlOZ4FfjAaesmer8AFwD/RvfZ25BzTPKl/qXA6wuWj3brpmWqhwdPsgW4Gjg4jVm6l9fPMTpI6n7gx8BbVXWy22RS98+9wOeBX3bL75/SHAV8O8kzSWa7dZO+XyZ2KPtJhp9F1jX5J4Uk7wW+Bny2qn46jRmq6p2q2sboGfca4IrFNhtyhiSfAuar6pmFqyc9R+f6qvowo7eityf56AT2eboVHcr+bEwy/KPAZQuWNwPHJrj/0411ePC+JVnDKPoHqurr05wFoEZnRXqS0WcOG5KcOg7jJO6f64FPJ3kVeJDRy/17pzAHVXWsu5wHHmX0YDjp+2VFh7I/G5MM/2lga/eJ7VrgVkaH6J6WiR8ePEkYnYrscFV9aVqzJLkoyYbu+nuAjzP6EOkJ4OZJzVFVd1XV5qrawuj34TtV9ZlJz5Hk/CTvO3Ud+ARwiAnfLzXJQ9kP/aHJaR9SfBL4EaP3k381wf1+FTgOvM3oUXU3o/eSB4Aj3eXGCczxe4xetn4feK7798lJzwL8LvBsN8ch4K+79R8EngJeBv4JWDfB++j3gcenMUe3v+e7fy+c+t2c0u/INmCuu2/+GbhwiDn85p7UIL+5JzXI8KUGGb7UIMOXGmT4UoMMX2qQ4UsNMnypQf8H/MExHSxILF0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1481, row end: 1545\n",
      "col start: 2660, col end: 2724\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1896, row end: 1960\n",
      "col start: 2739, col end: 2803\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1528, row end: 1592\n",
      "col start: 566, col end: 630\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 828, row end: 892\n",
      "col start: 1523, col end: 1587\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1181, row end: 1245\n",
      "col start: 1709, col end: 1773\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1023, row end: 1087\n",
      "col start: 2115, col end: 2179\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 273, row end: 337\n",
      "col start: 1687, col end: 1751\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1047, row end: 1111\n",
      "col start: 1712, col end: 1776\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 159, row end: 223\n",
      "col start: 1461, col end: 1525\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1687, row end: 1751\n",
      "col start: 2813, col end: 2877\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 927, row end: 991\n",
      "col start: 1776, col end: 1840\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 835, row end: 899\n",
      "col start: 1355, col end: 1419\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1898, row end: 1962\n",
      "col start: 2897, col end: 2961\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1261, row end: 1325\n",
      "col start: 2552, col end: 2616\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 678, row end: 742\n",
      "col start: 2278, col end: 2342\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1514, row end: 1578\n",
      "col start: 2035, col end: 2099\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1271, row end: 1335\n",
      "col start: 658, col end: 722\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAP4AAAD8CAYAAABXXhlaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAADKlJREFUeJzt3X+o3fV9x/Hna/lZbSWmVQlGFguh0z9mLBe1OMpqasm6UvOHDqWMMAL3HzcsK3S6waCwP+o/1f0xBqG65g9XdbYuIqVtSJUyGNFr1Taa2ljnNCTzdpvSrrDU2Pf+ON+U2+zGe3Lv93tOw+f5gHDO93u/h++bnPs8v+7h+01VIaktvzXtASRNnuFLDTJ8qUGGLzXI8KUGGb7UIMOXGrSi8JPsSPJSkpeT3NnXUJKGleV+gSfJKuBHwI3AUeBp4LaqerG/8SQNYfUKbnsN8HJVvQKQ5EHgJuCM4a/NulrP+SvYpaR387/8nF/UiSy13UrCvxR4fcHyUeDad7vBes7n2mxfwS4lvZuDdWCs7VYS/mKPKv/vfUOSWWAWYD3nrWB3kvqykg/3jgKXLVjeDBw7faOq2lNVM1U1s4Z1K9idpL6sJPynga1JLk+yFrgVeKyfsSQNadkv9avqZJI/Bb4FrALur6oXeptM0mBW8h6fqvoG8I2eZpE0IX5zT2qQ4UsNMnypQYYvNcjwpQYZvtQgw5caZPhSgwxfapDhSw0yfKlBhi81yPClBhm+1CDDlxpk+FKDDF9qkOFLDTJ8qUGGLzXI8KUGGb7UIMOXGmT4UoMMX2rQkuEnuT/JfJJDC9ZtTLI/yZHu8sJhx5TUp3Ge8b8C7Dht3Z3AgaraChzoliWdI5YMv6q+C/z3aatvAvZ21/cCO3ueS9KAlvse/5KqOg7QXV7c30iShrais+WOI8ksMAuwnvOG3p2kMSz3Gf+NJJsAusv5M21YVXuqaqaqZtawbpm7k9Sn5Yb/GLCru74L2NfPOJImYZw/530V+FfgQ0mOJtkNfBG4MckR4MZuWdI5Ysn3+FV12xl+tL3nWSRNiN/ckxpk+FKDDF9qkOFLDTJ8qUGGLzXI8KUGGb7UIMOXGmT4UoMMX2qQ4UsNMnypQYYvNcjwpQYZvtQgw5caZPhSgwxfapDhSw0yfKlBhi81yPClBhm+1CDDlxo0zim0LkvyRJLDSV5Icke3fmOS/UmOdJcXDj+upD6M84x/EvhcVV0BXAfcnuRK4E7gQFVtBQ50y5LOAUuGX1XHq+p73fWfAYeBS4GbgL3dZnuBnUMNKalfZ/UeP8kW4GrgIHBJVR2H0YMDcHHfw0kaxtjhJ3kv8DXgs1X107O43WySuSRzb3NiOTNK6tlY4SdZwyj6B6rq693qN5Js6n6+CZhf7LZVtaeqZqpqZg3r+phZ0gqN86l+gPuAw1X1pQU/egzY1V3fBezrfzxJQ1g9xjbXA38M/CDJc926vwS+CDycZDfwGnDLMCNK6tuS4VfVvwA5w4+39zuOpEnwm3tSgwxfapDhSw0yfKlBhi81yPClBhm+1CDDlxpk+FKDDF9qkOFLDTJ8qUGGLzXI8KUGGb7UIMOXGmT4UoMMX2qQ4UsNMnypQYYvNcjwpQYZvtQgw5caZPhSg8Y5d976JE8leT7JC0m+0K2/PMnBJEeSPJRk7fDjSurDOM/4J4AbquoqYBuwI8l1wN3APVW1FXgT2D3cmJL6tGT4NfI/3eKa7l8BNwCPdOv3AjsHmVBS78Z6j59kVXem3HlgP/Bj4K2qOtltchS4dJgRJfVtrPCr6p2q2gZsBq4Brlhss8Vum2Q2yVySubc5sfxJJfXmrD7Vr6q3gCeB64ANSU6dZnszcOwMt9lTVTNVNbOGdSuZVVJPxvlU/6IkG7rr7wE+DhwGngBu7jbbBewbakhJ/Vq99CZsAvYmWcXogeLhqno8yYvAg0n+BngWuG/AOSX1aMnwq+r7wNWLrH+F0ft9SecYv7knNcjwpQYZvtQgw5caZPhSgwxfapDhSw0yfKlBhi81yPClBhm+1CDDlxpk+FKDDF9qkOFLDTJ8qUGGLzXI8KUGGb7UIMOXGmT4UoMMX2qQ4UsNMnypQYYvNWjs8LtTZT+b5PFu+fIkB5McSfJQkrXDjSmpT2fzjH8Ho5NlnnI3cE9VbQXeBHb3OZik4YwVfpLNwB8CX+6WA9wAPNJtshfYOcSAkvo37jP+vcDngV92y+8H3qqqk93yUeDSnmeTNJAlw0/yKWC+qp5ZuHqRTesMt59NMpdk7m1OLHNMSX1a8jTZwPXAp5N8ElgPXMDoFcCGJKu7Z/3NwLHFblxVe4A9ABdk46IPDpIma8ln/Kq6q6o2V9UW4FbgO1X1GeAJ4OZus13AvsGmlNSrlfwd/y+AP0/yMqP3/Pf1M5KkoY3zUv9XqupJ4Mnu+ivANf2PJGlofnNPapDhSw0yfKlBhi81yPClBhm+1CDDlxpk+FKDDF9qkOFLDTJ8qUGGLzXI8KUGGb7UIMOXGmT4UoMMX2qQ4UsNMnypQYYvNcjwpQYZvtQgw5caZPhSgwxfatBYZ9JJ8irwM+Ad4GRVzSTZCDwEbAFeBf6oqt4cZkxJfTqbZ/yPVdW2qprplu8EDlTVVuBAtyzpHLCSl/o3AXu763uBnSsfR9IkjBt+Ad9O8kyS2W7dJVV1HKC7vHiIASX1b9yz5V5fVceSXAzsT/LDcXfQPVDMAqznvGWMKKlvYz3jV9Wx7nIeeJTR6bHfSLIJoLucP8Nt91TVTFXNrGFdP1NLWpElw09yfpL3nboOfAI4BDwG7Oo22wXsG2pISf0a56X+JcCjSU5t/49V9c0kTwMPJ9kNvAbcMtyYkvq0ZPhV9Qpw1SLr/wvYPsRQkoblN/ekBhm+1CDDlxpk+FKDDF9qkOFLDTJ8qUGGLzXI8KUGGb7UIMOXGmT4UoMMX2qQ4UsNMnypQYYvNcjwpQYZvtQgw5caZPhSgwxfapDhSw0yfKlBhi81yPClBo0VfpINSR5J8sMkh5N8JMnGJPuTHOkuLxx6WEn9GPcZ/2+Bb1bV7zA6ndZh4E7gQFVtBQ50y5LOAeOcLfcC4KPAfQBV9Yuqegu4CdjbbbYX2DnUkJL6Nc4z/geBnwD/kOTZJF/uTpd9SVUdB+guLx5wTkk9Gif81cCHgb+vqquBn3MWL+uTzCaZSzL3NieWOaakPo0T/lHgaFUd7JYfYfRA8EaSTQDd5fxiN66qPVU1U1Uza1jXx8ySVmjJ8KvqP4DXk3yoW7UdeBF4DNjVrdsF7BtkQkm9Wz3mdn8GPJBkLfAK8CeMHjQeTrIbeA24ZZgRJfVtrPCr6jlgZpEfbe93HEmT4Df3pAYZvtQgw5caZPhSgwxfapDhSw0yfKlBqarJ7Sz5CfDvwAeA/5zYjhf3mzADOMfpnOPXne0cv11VFy210UTD/9VOk7mqWuwLQU3N4BzOMa05fKkvNcjwpQZNK/w9U9rvQr8JM4BznM45ft0gc0zlPb6k6fKlvtSgiYafZEeSl5K8nGRiR+VNcn+S+SSHFqyb+OHBk1yW5InuEOUvJLljGrMkWZ/kqSTPd3N8oVt/eZKD3RwPdcdfGFySVd3xHB+f1hxJXk3ygyTPJZnr1k3jd2Qih7KfWPhJVgF/B/wBcCVwW5IrJ7T7rwA7Tls3jcODnwQ+V1VXANcBt3f/B5Oe5QRwQ1VdBWwDdiS5DrgbuKeb401g98BznHIHo0O2nzKtOT5WVdsW/PlsGr8jkzmUfVVN5B/wEeBbC5bvAu6a4P63AIcWLL8EbOqubwJemtQsC2bYB9w4zVmA84DvAdcy+qLI6sXurwH3v7n7Zb4BeBzIlOZ4FfjAaesmer8AFwD/RvfZ25BzTPKl/qXA6wuWj3brpmWqhwdPsgW4Gjg4jVm6l9fPMTpI6n7gx8BbVXWy22RS98+9wOeBX3bL75/SHAV8O8kzSWa7dZO+XyZ2KPtJhp9F1jX5J4Uk7wW+Bny2qn46jRmq6p2q2sboGfca4IrFNhtyhiSfAuar6pmFqyc9R+f6qvowo7eityf56AT2eboVHcr+bEwy/KPAZQuWNwPHJrj/0411ePC+JVnDKPoHqurr05wFoEZnRXqS0WcOG5KcOg7jJO6f64FPJ3kVeJDRy/17pzAHVXWsu5wHHmX0YDjp+2VFh7I/G5MM/2lga/eJ7VrgVkaH6J6WiR8ePEkYnYrscFV9aVqzJLkoyYbu+nuAjzP6EOkJ4OZJzVFVd1XV5qrawuj34TtV9ZlJz5Hk/CTvO3Ud+ARwiAnfLzXJQ9kP/aHJaR9SfBL4EaP3k381wf1+FTgOvM3oUXU3o/eSB4Aj3eXGCczxe4xetn4feK7798lJzwL8LvBsN8ch4K+79R8EngJeBv4JWDfB++j3gcenMUe3v+e7fy+c+t2c0u/INmCuu2/+GbhwiDn85p7UIL+5JzXI8KUGGb7UIMOXGmT4UoMMX2qQ4UsNMnypQf8H/MExHSxILF0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 717, row end: 781\n",
      "col start: 2144, col end: 2208\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 773, row end: 837\n",
      "col start: 1933, col end: 1997\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1591, row end: 1655\n",
      "col start: 561, col end: 625\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1229, row end: 1293\n",
      "col start: 1213, col end: 1277\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 974, row end: 1038\n",
      "col start: 1709, col end: 1773\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1510, row end: 1574\n",
      "col start: 1092, col end: 1156\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1381, row end: 1445\n",
      "col start: 2561, col end: 2625\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1799, row end: 1863\n",
      "col start: 2890, col end: 2954\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1181, row end: 1245\n",
      "col start: 2701, col end: 2765\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1454, row end: 1518\n",
      "col start: 2510, col end: 2574\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1589, row end: 1653\n",
      "col start: 1105, col end: 1169\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1826, row end: 1890\n",
      "col start: 2811, col end: 2875\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 880, row end: 944\n",
      "col start: 2294, col end: 2358\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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ThTXU8Uc0dlt/Aewqfm6quxbgk8DzRR27gb8t5n8ceAY4APwrMKfGdfRZYFsv6iiW90Lxs2fib7NHfyOrgdFi3fwQuLSKOnzlnllCvnLPLCEH3ywhB98sIQffLCEH3ywhB98sIQffLCEH3yyh/wO4QKNWKCsd+gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1290, row end: 1354\n",
      "col start: 2756, col end: 2820\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 964, row end: 1028\n",
      "col start: 1803, col end: 1867\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1466, row end: 1530\n",
      "col start: 2880, col end: 2944\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1194, row end: 1258\n",
      "col start: 1482, col end: 1546\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 2085, row end: 2149\n",
      "col start: 2947, col end: 3011\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1411, row end: 1475\n",
      "col start: 2461, col end: 2525\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "row start: 1457, row end: 1521\n",
      "col start: 2111, col end: 2175\n",
      "imshape: (2352, 3231)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "##### debug code for DG support\n",
    "from gbdxtools import CatalogImage\n",
    "import numpy as np\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "# get the dask array for the 8 band MS image\n",
    "shp_bounds = (-105.04798605513851, 39.690173358281925, -104.99237692378261, 39.73066280731016)\n",
    "dg_scene_id = '1030010057062200'\n",
    "img_2m = CatalogImage(dg_scene_id, band_type='MS', bbox=shp_bounds, acomp=True)\n",
    "\n",
    "# load the row/cols\n",
    "coords = np.loadtxt('dg_support_coords.txt')\n",
    "\n",
    "samp_inds = np.unique(np.random.randint(6000, size=100))\n",
    "for ind in samp_inds:\n",
    "    \n",
    "    r,c = coords[ind]\n",
    "    r = int(r)\n",
    "    c = int(c)\n",
    "    window_size=64\n",
    "    r_start = int(r - window_size/2)\n",
    "    r_end = int(r_start + window_size)\n",
    "    c_start = int(c - window_size/2)\n",
    "    c_end = int(c_start + window_size)\n",
    "    \n",
    "    print('row start: {}, row end: {}'.format(r_start, r_end))\n",
    "    print('col start: {}, col end: {}'.format(c_start, c_end))\n",
    "    print('imshape: {}'.format(img_2m.shape[1:]))\n",
    "    \n",
    "    test = img_2m[:,r_start:r_end, c_start:c_end]\n",
    "    plt.imshow(test[5,:,:])\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.5 (spatial_torch)",
   "language": "python",
   "name": "spatial_torch"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}