{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# GEONE - Tools to deal with 2D RGB images\n", "\n", "Functions to read, write and show images 2D RGB images:\n", "\n", "- read from file in format png, ppm, (jpeg),\n", "- link with geone image (`geone.img.Img` class).\n", "\n", "Use package Pillow (PIL) for advanced image manipulation and various file formats." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Import what is required" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import os\n", "\n", "# import package 'geone'\n", "import geone as gn" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "sys.version_info(major=3, minor=13, micro=7, releaselevel='final', serial=0)\n", "geone version: 1.3.1\n" ] } ], "source": [ "# Show version of python and version of geone\n", "import sys \n", "print(sys.version_info)\n", "print('geone version: ' + gn.__version__)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Read / Write 2D RGB image files\n", "The function `geone.img.readImage2Drgb` allows to read (load) 2D images with RGB (or RGBA) channels from file in various format (png, ppm(, jpeg)) (based on `matplotlib.pyplot.imread`) and to fill an instance of `geone.img.Img` class.\n", "\n", "The function `geone.img.writeImage2Drgb` allows to write (save) an image (based on `matplotlib.pyplot.imsave`) from a `geone.img.Img` class instance in a file, in format png, ppm(, jpeg). The input image (`geone.img.Img` class) should be in 2D with one variable, 3 variables (channels RGB) or 4 variables (channels RGBA). If the input image has only one variable, it is transformed in a RGB(A) color code via a list of color or a colormap.\n", "\n", "See examples below for more details.\n", "\n", "Notes:\n", "\n", "- `geone.img.readImage2Drgb` (`matplotlib.pyplot.imread`) allows more file format than `geone.img.writeImage2Drgb` (`matplotlib.pyplot.imsave`), e.g. 'tif',\n", "- format 'jpeg' renders *blurred images*, so they should avoid at least for categorical images.\n", "\n", "### Dealing with \"missing value\"\n", "The function `geone.img.readImage2Drgb` allows to specify a color that is considered as a \"missing value\" (coded by `nan`) in the output geone image.\n", "\n", "The function `geone.img.writeImage2Drgb` allows to specify the color to be used for \"missing_value\" (`nan`) in the input geone image.\n", "\n", "See examples below for more details." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "# Set output directory for generated files\n", "out_dir = 'out'\n", "\n", "if not os.path.isdir(out_dir):\n", " os.mkdir(out_dir)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## I. Example with \"continuous\" image" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Reading / loading image\n", "The function `geone.img.readImage2Drgb` returns an image (`geone.img.Img` class) with:\n", "\n", "- 3 or 4 variables (keyword argument `keep_channels=True` (default)), the variables (with value in the interval $[0, 1]$) being the RGB or RGBA channels,\n", "- 1 variable (keyword argument `keep_channels=False`), the variable (with value in the interval $[0, 1]$) being a linear combination of the RGB channels using the weight given by the keyword argument `rgb_weight`." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "# Directory containing the input files\n", "data_dir = 'data'\n", "\n", "# Filename of the initial image, without extension\n", "fbase = 'imCont'\n", "\n", "# Extension\n", "ext = 'png'" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### I. 1 Continuous image - keeping RGB(A) channels" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Read file with `matplotlib.pyplot.imread` and show it with `matplotlib.pyplot.imshow`" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Read the image from initial file using matplotlib.pyplot.imread and show it\n", "im = plt.imread(os.path.join(data_dir, f'{fbase}.{ext}'))\n", "plt.figure(figsize=(4,4))\n", "plt.imshow(im)\n", "plt.axis('off')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Read file using dedicated function of geone (`geone.img.readImage2Drgb`)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Geone image (gn.img.Img):\n", " *** Img object ***\n", "name = ''\n", "(nx, ny, nz) = (300, 400, 1) # number of cells along each axis\n", "(sx, sy, sz) = (1.0, 1.0, 1.0) # cell size (spacing) along each axis\n", "(ox, oy, oz) = (0.0, 0.0, 0.0) # origin (coordinates of bottom-lower-left corner)\n", "nv = 3 # number of variable(s)\n", "varname = [np.str_('red'), np.str_('green'), np.str_('blue')]\n", "val: (3, 1, 400, 300)-array\n", "*****\n" ] } ], "source": [ "# Read the image from initial file, keeping RGB(A) channels\n", "im_cont = gn.img.readImage2Drgb(os.path.join(data_dir, f'{fbase}.{ext}'))\n", "\n", "# Show info\n", "print('Geone image (gn.img.Img):\\n', im_cont)" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plot the image with gn.imgplot.drawImage2Drgb (recombining the RGB(A) channels)\n", "plt.figure(figsize=(4,4))\n", "gn.imgplot.drawImage2Drgb(im_cont)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "scrolled": true }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plot the three variables (RGB channels) of the image with gn.imgplot.drawImage2D\n", "plt.subplots(1,3, sharey=True, figsize=(12,4))\n", "plt.subplot(1,3,1)\n", "gn.imgplot.drawImage2D(im_cont, iv=0, cmap=gn.customcolors.custom_cmap(['white', 'red']))\n", "plt.subplot(1,3,2)\n", "gn.imgplot.drawImage2D(im_cont, iv=1, cmap=gn.customcolors.custom_cmap(['white', 'green']))\n", "plt.subplot(1,3,3)\n", "gn.imgplot.drawImage2D(im_cont, iv=2, cmap=gn.customcolors.custom_cmap(['white', 'blue']))\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Writing / saving image" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Same geone images (im_cont and im_cont_new) ? True\n" ] } ], "source": [ "# output file \n", "out_file = f'{fbase}_new.{ext}'\n", "f = os.path.join(out_dir, out_file)\n", "gn.img.writeImage2Drgb(f, im_cont)\n", "\n", "# Read the image from the written file\n", "im_cont_new = gn.img.readImage2Drgb(f)\n", "if im_cont.nv == 3:\n", " im_cont_new.resize(iv0=0, iv1=3) # keep only the first three channels (remove alpha channel)\n", "print('Same geone images (im_cont and im_cont_new) ?', gn.img.isImageEqual(im_cont, im_cont_new))" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "# Note: if the image read with matplotlib.pyplot.imread is saved with matplotlib.pyplot.imsave,\n", "# we get the same file as the file written just above\n", "\n", "# output file \n", "out_file = f'{fbase}_copy.{ext}'\n", "f = os.path.join(out_dir, out_file)\n", "plt.imsave(f, im)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Dealing with missing value" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Number of pixel with missing value: 9606\n" ] } ], "source": [ "nancol = im_cont.val[:,0,0,0] # color code of first pixel (in bottom left corner), in initial image\n", "\n", "# Read the image from the initial file, specifying a color to be interpreted as missing value\n", "im_cont_x = gn.img.readImage2Drgb(os.path.join(data_dir, f'{fbase}.{ext}'), nancol=nancol)\n", "\n", "print('Number of pixel with missing value: ', np.any(np.isnan(im_cont_x.val), axis=0).sum())" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "scrolled": true }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plot the three variables (RGB channels) of the image with gn.imgplot.drawImage2D \n", "# (with missing value in yellow)\n", "plt.subplots(1,3, sharey=True, figsize=(12,4))\n", "plt.subplot(1,3,1)\n", "gn.imgplot.drawImage2D(im_cont_x, iv=0, cmap=gn.customcolors.custom_cmap(['white', 'red'], cbad='yellow'))\n", "plt.subplot(1,3,2)\n", "gn.imgplot.drawImage2D(im_cont_x, iv=1, cmap=gn.customcolors.custom_cmap(['white', 'green'], cbad='yellow'))\n", "plt.subplot(1,3,3)\n", "gn.imgplot.drawImage2D(im_cont_x, iv=2, cmap=gn.customcolors.custom_cmap(['white', 'blue'], cbad='yellow'))\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Same geone images (im_cont_x and im_cont_x_new) ? True\n" ] } ], "source": [ "# Write image accounting for missing value\n", "out_file = f'{fbase}_x_new.{ext}' # output file \n", "f = os.path.join(out_dir, out_file)\n", "gn.img.writeImage2Drgb(f, im_cont_x, nancol='yellow')\n", "\n", "# Read the image from the written file\n", "im_cont_x_new = gn.img.readImage2Drgb(f, nancol='yellow')\n", "if im_cont_x.nv == 3:\n", " im_cont_x_new.resize(iv0=0, iv1=3) # keep only the first three channels (remove alpha channel)\n", "print('Same geone images (im_cont_x and im_cont_x_new) ?', gn.img.isImageEqual(im_cont_x, im_cont_x_new))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### I. 2 Continuous image - combining RGB channels" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Geone image (gn.img.Img):\n", " *** Img object ***\n", "name = ''\n", "(nx, ny, nz) = (300, 400, 1) # number of cells along each axis\n", "(sx, sy, sz) = (1.0, 1.0, 1.0) # cell size (spacing) along each axis\n", "(ox, oy, oz) = (0.0, 0.0, 0.0) # origin (coordinates of bottom-lower-left corner)\n", "nv = 1 # number of variable(s)\n", "varname = [np.str_('val')]\n", "val: (1, 1, 400, 300)-array\n", "*****\n" ] } ], "source": [ "# Read the image from the initial file, combining RGB channels: one output variable consisting \n", "# of a linear combination of the RGB code of the color in the original file; weight of RGB channels \n", "# are set with keyword argument 'rgb_weight'\n", "im_cont_onevar = gn.img.readImage2Drgb(os.path.join(data_dir, f'{fbase}.{ext}'), keep_channels=False)\n", "\n", "# Show info\n", "print('Geone image (gn.img.Img):\\n', im_cont_onevar)" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "image/png": 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3tba2YteuXSd9jNmzZ2Pr1q3FHHbsyB/kaLpyrzsR8v4DXfy6WPh2e79RiHJ+f1xNAFweoNoS2oZq1tAm6GUXZ+VZoQY2JMBEBWGYpQlomWjuNOq9UGhMufO6mSe6LjMrtIIJIO92p9C5zKwIjxQ9u4zhos8FV5eAkKOnQsCTbWjjzMk9UWtGgqgQKHuh3CkktrxzlwFW8cUF1ylsXHSFvMiV6ybfLphsm+7K3o9vL3QeQDZLQXVnu4cFvcy/DXjYrDOfku0gBlB6GDFtIHuhXMmPKu1x5VYTGdMFCALrQyu4MGw6rmE1jskXO8O6HUZWlMW8qFgwsyIMZG8zHdG1LgBwW/m3bia0AQ8Q8LKm5DxFzOnl5gssCS5RgVCkW04UiiZtobWaxEgi+yrPq7q8MhNft+MrvGEAmgFkdCa2phXV8v9TwwRUDdD17H66DugmoOl51gSPiMEE29kbt9HPItoqD9BUzUTXJzPh5WLrFNwy+SQnCGJkKkt0gayNYPulIgCBiZvsZpFtlReQReaXOqu8OLrBLhk9K3bOrAHdYKLLxTatsW2atV03mFAb1mMBTJBdLhZVy26WocAthaCXnZPfYSmcTHDL5FOdIIqFIt1ywJkNwKPbtAS4REAWrH60XiayXpn1pvVYY268MhNc7p1ygc0RXcNhKyBXdDUdSKrZ/TNaVrQ1w7qvQzQlq9rMp7CCB754NpLg8nPKeb7l8eYiiFIgT3eqw6u5DBer5jKtKQu1lrAqVt5rbRX73SOxdCzJ2k92eLqCKyu6Rl6EazgiXcMENA3IWKJqi64GqLoVAXPh5b9b9oPoAhSr8KExxM6JD5UsNHKHBJeYZhglRroV22VsSmEKVlGB9VOwBMzjZlMWvBJrGOOVWVltvsCJjqm5QFZ07ccfQfAME8i4s6LolbNCy+0FTc96v4YVLadUwGUt3vEmNoo8fOQORbjENIYi3amMM9dVc7MFMl5CWxvI9p/1yeyrvOzO+rqCJXKC46u8y5XXjcJV6KhMDJ0imRGzUbGqsZ+aFekaDn846WY2hWTZGlxwC5X3lskbiCDGGvJ0pzKqGzC8TFhrra/rfssfrQ2w7flCKxTIyS2mtJYLs8shus5o2ch7LJ52phnAUJKJMpDtpSCJ2Q+A/MdwUiZvKIIgTkx5i25GBAKWP+r3sEbfASvHtcqbFTbBlRXG/JzXQnaCKy/C5UJtmABMdr2QCLpczLM1TSbKPHo2rchYldh+PKOB+8Yus/C8s/zHJuElpgFkL0xlBMufrbJSrkK+bPmsT84Ob3RaCIW+wo/k3bpcuftxdCN34U0YQTBtu8LaTxKzvRP447gd4syPJxQ4Jn88El6iwql0e+GU++lOKn45K7h2rqtVQst7FhQSRGdmwon+o5xZBGaB/e0qNUe2g/O+HC7QkpUbLFrnxL1e3SHEzv2FvIib30YQFcxEjmDfsGED5syZA4/HgyVLlgwbspDPAw88gE9+8pPwer1obW3FrbfeilQqVdQxyzvSbQgBM2uZ4Po9wIxANrrlM8Q4J4tqT0a+2I10P14EwXZiP/hHm+TO3qbpVmaDJbw+5A6bdEa9zvPPP5cy+XQniNFioMSUMRR3n1//+tfo7OzEpk2bsGTJEjzwwAPo6OjAvn370NDQMGz/zZs344477sDDDz+Mz3zmM3jvvffwjW98Ay6XC/fff/+oj1vekS5vf8gXz9xiNro186LQU+1dcKKId6R9gdyFO8H6MFDc7FwFsAU2TWNVbc6ol9sNJ4tsR7MPQZQRExXp3n///bj++utx7bXXYv78+di0aRN8Ph8efvjhgvu/+OKLuPDCC/H1r38dc+bMwbJly3DllVeeNDrOp8xF1yG4zp6znBNFt2MRIZ5MhPOLLHgE7hYt4XVnezLwyJdXwTl9ZX6/QnYDh4SXIACwwbXOS6FxYqqqYvfu3Vi6dKm9TRAELF26FF1dXQUf9zOf+Qx2795ti+wHH3yArVu34pJLLinq/MrbXmiZAdRUZQsdgNwqLqcQTsTX8EILaVxsDZN5uS5XNiJ3uViRhaYDaoYJrpABNEdzHsGVm1LG/eBC1WpkOxAVwKkupOVPCl+3bh3uuuuunG39/f3QdR2NjY052xsbG/Huu+8WfPyvf/3r6O/vx2c/+1mYpglN03DjjTfiu9/9blHnWd6iyy0F4STR7WQJkDNlzPkTyIovXzDjpcU86uXRsSgAsiv3fvmFHCNlOvBzIIgy4lRTxg4dOoRgMGhvH6v5izt37sQPf/hDPPTQQ1iyZAn279+Pb3/72/j+97+P733ve6N+nPIWXVHMTQdz9krgTBXRMU0mqFwouWUAMFHlqWea1S5SMLKiy73gQsILnFx8p8prQBCj4FQj3WAwmCO6hairq4Moiujp6cnZ3tPTg6ampoL3+d73voerr74a//iP/wgAWLBgAeLxOG644Qb88z//M4T8IqcRKG9PV8j7qp0f3U4FsXGeR77Hy0WVdzvjo3o8ErMUdB1IZYBYChhKAfE0a6pj5C22CUJWxAt5v6NdlCOIKcBELKTJsozFixdjx44d9jbDMLBjxw60t7cXvE8ikRgmrKLIiq7MIrSmvCNdIHeRijMVxDYfp8UAWFGv0ypwwe71IFvbeO8GzWB3cAtZK4ILbH70y3+nAguiTDHM0godinUkOjs7sXLlSpx33nk4//zz7Unm1157LQDgmmuuwcyZM7F+/XoAwKWXXor7778fn/rUp2x74Xvf+x4uvfRSW3xHQ3mLbqFihKksKM4PB9tuyLMKRCE71YKnkBmq5fUagEvLCi7fD8hGus4PoZFsB/J7CQJXXHEF+vr6cOeddyIcDmPRokXYtm2bvbjW3d2dE9muXbsWLpcLa9euxeHDh1FfX49LL70U//Iv/1LUcV1mMXHxFCEajSIUCgE3bQQUb/aGcnkqwwogXMMjdS6emjWZQnM0VOd2Ahdd54XjXFDMr3hzUi6vGVEeqEng31cjEomc1FfNh/9dX/7Ys5B8/qIPnUnE8buVS0s69kRS3pEuUJ6ikX/OzlE+QLZxDpD1fLl4pjLZzmXJtDXfzWrGrkhZAXemluV3VKPqNmIKo5smhAruvVDeolsmL/KIFLIbAKt1pFOALdvA5QI8yPbq1fTsY3H/FwK7v+hij2f7u87jjfC6kd9LTAF0w4RAXcaIcSNfeHkhhXOR1NkyEsiKcMbRoSzfonCmpxkO4eX3L1RcwY/Fz4UgJgESXWL8cWYd8N+djXN45OtysSnGAMtRlkRIbhGyKEAWBeiGiaSmI6PpbDSQM3KGKxv9csF1OdLZqLqNmCJUur1QVJ7uxo0bsXDhQjv5uL29HU8//bR9eyqVwqpVqzBjxgwEAgGsWLFiWPJxd3c3li9fDp/Ph4aGBtx2223QNG1snk25k59bzK/nN+wRWRlxjU/BzKAXp9cGcHZ9EAsbQ5hfH0RrtY/NhpPE4f/DXMB5wQVflKO+DgQxIRQV6c6aNQv33nsvzjjjDJimicceewxf+cpX8Prrr+Pss8/GrbfeiqeeegpPPPEEQqEQVq9ejcsvvxz//d//DQDQdR3Lly9HU1MTXnzxRRw9ehTXXHMNJEnCD3/4w3F5gmVJft4xkNssXXBBkETUemU0BzxoCnhQ65UhiwJiqobeOGvwMZDMIJ7OZKNeLsB2Y3VkbQeXC3ZoTPm9xCRimKWVAZfLNOBTThmrra3Fj370I3z1q19FfX09Nm/ejK9+9asAgHfffRdnnXUWurq6cMEFF+Dpp5/G3//93+PIkSN2LtymTZtw++23o6+vD7Isj+qYdsrYjQ/lpoxVIs4FNYGliQkeCSFFwuKWGrSFfJhb7cesoBdNAQ9U3cCQquHNnggODyXRHUng9aODiKYz2XHwRoEUMgPZ1DLb4qBUM6JIxiBl7Iv/thVub/EpY1oyjj//v5dM+ZSxksuAdV3H448/jng8jvb2duzevRuZTCanVdq8efPQ1tZmt0rr6urCggULcjr7dHR0IBqN4q233hrxWOl0eli7tmmHnQomwOsWEZBFzPDKaPApmOGVUe9TUOdT0FLlxeyQD/PrgzirPogFDSGcXhtAS5UXHo/MUssKPj6yJcSjaSdJZcXEOMF7L5RyKQeKXkjbu3cv2tvbkUqlEAgEsGXLFsyfPx979uyBLMuorq7O2b+xsRHhcBgAEA6HC7ZS47eNxPr163H33XcXe6qVg2NBTZLdCMhuhBQZtV4ZNdYl5JFQ62WDL3WD/fRbwhxTNdT6ZISHUuhLpNFjWEUX+REvtx3sBkLWdtE1ctRLtgMxxuiGCRdlL2T55Cc/iT179iASieC3v/0tVq5ciV27do3HudmsWbMGnZ2d9vVoNDqsZ2ZFkl+xJopMcD0S6v0K6n0yGvws0g0qEgKyBNHlsj/xPW4RVbKEobSGer+Cw74kDg8loRsmBlIqjIzVxzcfLr6AIwOCX6c0M2J80U0TrgrOXihadGVZxumnnw4AWLx4MV599VU8+OCDuOKKK6CqKgYHB3OiXWertKampmGjLXh2w0jt1ADWD3OsemKWDU4vVxIBtwiPIuGM2gBmBr2YW+3HOQ3VmBn0otaKdKtkN0RLHL1uttA2M+hFY8CDaDqDgaSKvngae8KDODyUxOFoEu/2D2X93kxeFonoSDOzz8s8eY4vQAJMECNwyq0dDcNAOp3G4sWLIUlSTqu0ffv2obu7226V1t7ejr1796K3t9feZ/v27QgGg5g/f/6pnkrlkL94JgqQrAi3zqegKeBBY8CDBr+CkCIhILvhdYsQBRdEF7sobgE+SURAcqPWK6PR70Fr0IfTawNY0BjCgoYgFjVVY15dFebU+OHnE5QFIXdSBVDY7x1pWrHzOZDnS5TARE4DngyKinTXrFmDiy++GG1tbRgaGsLmzZuxc+dOPPPMMwiFQrjuuuvQ2dmJ2tpaBINB3HzzzWhvb8cFF1wAAFi2bBnmz5+Pq6++Gvfddx/C4TDWrl2LVatWTb9I9mTkTZjgtkJTFUsRaw54UOOVUaVYgmuJLUd0uSCKLoiCiYDphiwK8EoivJIIVTcQVCTU+Vhq2cfRJMKeFPYBiKtatrzY6fkKYJVt3N/lXi6/zltOjvQ8AIp+iVFhlLgoVi4pY0WJbm9vL6655hocPXoUoVAICxcuxDPPPIMvfelLAICf/OQnEAQBK1asQDqdRkdHBx566CH7/qIo4sknn8RNN92E9vZ2+P1+rFy5Evfcc8/YPqtyxhlJii5AcqPRysVtC3mxoCGEtpAXTQEv6v0KApIbiltgIlsg8hSRFWPdNBFSJIQ8EjK6gaG0hjNmBHAsqSI8lMKbvREcjaXQF0+jL5HCoYE4E1TdEmE7AHZEws6GOidacOPPbawpkz80YvToxgj21WjuVwYUJbq//OUvT3i7x+PBhg0bsGHDhhH3mT17NrZu3VrMYacPTlHiEyHcor1w1hxgubgzvApqvTK8bhFubimc4Ku+fZsB+CRWRqwKBiRRgG6aCCoSZnhliIILMxNpHI2lcDiahKqbGEiqyKQzw/1eZ1GFs6EO7+vAGe8/BFrEqzhIdImJR3CxKRFuER43S/ua4WUpYjxTwSeJUESB+bgn8lYd8P0UtwC34IJsCIAfCMjMvgCAY0mW79vgU5DSdGY9xFKIx0wW8fJANr+aza5yyytj5rbDSPYDQeShlzhqq2KzF4hxwmkryG5AdiOosAj39NoA5lb7MLeGFTnU+liUK1uiWyyyKABW3xzFLUBXJGiGiXq/gmRGQ0zVEU1nMLfGj8PRBLojSbx8eAB98TRLNUuqrL1kfkMdYHhTHX47tx84Y/EHUqgvcJn84RHTFxLdqYBzpd9KEfO4RYQ8bke1Geuv4JWYf6uUKLj5yKIA3WVCFEzoJluQ80pscS6Z0eGX3QgqMlTdYLbDUBL7B2IwVG3kkuL8IgsgN+2MP89ScIpqoXFEVKxR9pC9QEwcAvuaLlk+bq2XfdVvDHhQ77d8XMldcoQ7EqLgsv1eRRSQ1g2ILhdaqrzwy25UKxJUw0CTlaYGAAMJFZF0Bhme7TCS+BqOCJhzSqJYwKbIH8JJwlvWkL1AjC/OqjMrWyGkSKj1ymgKeNBU5bGrzvxWBKqIQk562FjAhZelmbHFuVofi6wDshu6aWIgoKLOEt1wLIXeeBp98TT6h5KA7spmOTgpmAl+CuduIHcUkdPCKJNIhzgxhomSRLdc/vtJdCcTp60gsTlnfkXCvLoqu+qsLeTDWXVB1HplBBQ3fJJ40myFUuGPKcIFWRRsvzetG6j1ykhmdMRUDWfXBzGQVHE0lkJ/PI3dR4+jN57GQFJFTyxlRb6OhTcuvKJ44oIK/po4yf/j472FDSM7EYNHv85qOfJ4yxbdNGFWcGtHEt3Jwim41vBJjxXl1vuzVWd1PgUhj4SAswhiHAS3EFm/12Vf90qs8o1H4wMBFYAV+SbS8EoiYmkNMVVDKqVmRRLIHbzJOelzye/5kJcdwR/POY7IGfWS1UBMMUh0JwOn6IgC4M6W+dZaC2fcx23wK3aZ71gtnhVDIb8XYL0daqw0NtHlwtFYCseTKqpkNwZTGURSGXRHEoipGlTDgGGJoMCj6SLtEe7XGYC1gIdsZVz+PDkAIw7fJKY8ulFipFsm/gKJ7kSTk6UgAJIbguzG3Bo/mgMezKzyYlETa2TT6Peg3i8jpEh21dlkIAouiHABIot2fZII3TCR1g2ouoGWKg9iqo5kRkd/Io3BdAZxVcPB43FE0hnEVA3JjI60rsMtCNAKLbqdBN0AVMNANJXBMatxT3QgZgmwVZRhD+905fq9ZDWUFbppopTZCmQvEMPJb2RjCW5IkWzBZV3BFNtW8J6kzHeiyV9w44t6XslARjfglUTUZXSkNB1BRUJc1ZDI6FB1A6oltqWOYtENA+EY844PDyXxckbL5gxzuJ1gWw6U1VBuUKRLjC2OvgpccLmHOzPoRWvQhwa/x27XONE+7mhwlhWLViaBbAjQ3SYkUUBGN5DWDPhlN1Iai4D1EudecVtBMwzoBtAUSKMvkUatV0ZvPI1ulwuZpApkHJkTTr+cshrKDop0ibHBOQLHLQCyG20hH5oDHrSFfLhg1gzMrPKiuYpd90tWpkIRZb4Tjd27V2Dlbbph2r0ddMNEva6wlnvWH8Op5lHqholIKoNIOoN+a9Hurb4o9vVHcag3mpsrbDr7AJfHHyPBMEqMdEu5z2RAojsR5GQpMMH1SG40WL1x+aXBr6DGw/JxeQHEZPm4pcC9X90wbfvBGd1qp/hHoZssk0K2LI3WoA/JjI64qrGOaGqezeDMaHBuL5OIiKhMSHTHmxwfF4BbtCvOeEPyliovE1yrPy7PkZ1qtsJoKWQ/AIAslvZ4I0XIM4NexDMaBpIqJNmNTH4bSsMFoECzHRLeKU2p43pOcbD5hEGiOxE4F84kMVtx5mxI7pFR7ZHgcYtlLbhOxur8efQMAIqYzQ9r8CuIqxoiqQzqfQqOaPrwqjjBNTzaJaY0pQ6mJHuBGObj+n0K6v0KZllZCuc119ipYU1VHnjdInwS6x5G5OL0j7nt0hr0wWN1W3u3fwiyW8CHx+NAOsP8XR7tCgKrVtMLZDkQUw6KdInScPZUsGyFkCKh1iOj3q9gZpUXdT4lJ0thPHoqVCJ8BlxAcSOp6aj3K5hd7cPxlIqBhIqoswGPAIAHv2QzlAUkukTp8EjXshXsJjaOwZI1HhkB2V10Q/LpDM8VlgUB1R4JyYxuv6698TSbbuycdMEthjL5o5zukL1AFEd+AYTihqRIqPcpOLshiLaQz25k0xryIiBLp9SQfLoiCi47Pa25yoMzZ1QhmdGRsJry9KQz2Z0NAwBvglMef5hE5UKiO57kTfKt9cqo87FqsxpHb1zFTYJbCjx9TDVYxFvjZYuRIY+EHlHItRIEF6CT4JYDRon9dMvlmwyJ7njAo1wBkEQBAVlEtUdCvU9mvXF9rJ8C+binhuhy2YM5vW72GocUCQHJPXJUS7Papj7OvhnF3q8MINEdSwqMT6/3KZgVZJbC6bWsT25LlRchjzSuvXGnA6LggmiyaDeoSKixFilrfTIESWSZYqaZXUyjhbPygCJdoiQEARDZCntQYV95Qx7JnuQrCywtjAT31OEfXLzRGH1zKHNKnJFWLt9gSHTHCucfupWbK7lFVCsSqi0/l/fFlcqwxLcccAsCRMFh15CPW55UeKRLWfhjjeBi/RVEAbIowG91EgsqEptxJgmQBWFSGpJXIvkfXIKLR7z02hJTE4p0xwJnmpiYjXJrvRJmh3yYU+PH3Go/6v0yArJkdw8jxpaCQkviW36QvUAUjRXleiU3ArIbAatNoyyKZdk9rKKhxbWpB4kuURSCAFgpTLLAxpdXKUx8ZUd6GEW6E8SpCOpoPhhJsMeeEkewl0vdS1Ge7vr16/HpT38aVVVVaGhowGWXXYZ9+/bl7POFL3wBLpcr53LjjTfm7NPd3Y3ly5fD5/OhoaEBt912GzRNQ1ljp4oJkEQBXimbsF/rleG3RNdNUe7Ug6f65V+KvS8xNvBIt5RLGVBUpLtr1y6sWrUKn/70p6FpGr773e9i2bJlePvtt+H3++39rr/+etxzzz32dZ/PZ/+u6zqWL1+OpqYmvPjiizh69CiuueYaSJKEH/7wh2PwlCYZF8sblUWWpcDH7fDOYdRfoYIhq2JsqPDshaJEd9u2bTnXH330UTQ0NGD37t34/Oc/b2/3+Xxoamoq+Bh/+tOf8Pbbb+PZZ59FY2MjFi1ahO9///u4/fbbcdddd0GW5RKexhTCimRlS3AVtwCv1a6RItwyZaQPyUKRFQkvcRJOKWUsEokAAGpra3O2/+pXv0JdXR3OOeccrFmzBolEwr6tq6sLCxYsQGNjo72to6MD0WgUb731VsHjpNNpRKPRnMuUxPqaKVsLaYpbyDazsUpWiSnASP8Pgit7cV4v9nHIbjg1eKRbyqUMKHkhzTAM3HLLLbjwwgtxzjnn2Nu//vWvY/bs2WhpacEbb7yB22+/Hfv27cPvfvc7AEA4HM4RXAD29XA4XPBY69evx913313qqY4vztJfq9eCVxJQJbtRY/XKZfm5ImUtTBaCkO00Zm/LK2Zxwkcr5e+Xj2GVGPM/9vyeAfxxy0QMpgyUvVCYVatW4c0338QLL7yQs/2GG26wf1+wYAGam5tx0UUX4cCBAzjttNNKOtaaNWvQ2dlpX49Go2htbS3txMcZ7ud6JNbMxk4REyhrYcLhf4TOKcGCkCuCTsE9kRA7vxPyhxMtKyFnHBBZDqcMebrDWb16NZ588kk8//zzmDVr1gn3XbJkCQBg//79OO2009DU1IRXXnklZ5+enh4AGNEHVhQFiqKUcqoTiyDY1oIsZK0F8nPHH2cqnlsYwTXjHcacZcKcHPF13kcocLtDzA1XrvjaQznLQwCmJBXeZawoT9c0TaxevRpbtmzBc889h7lz5570Pnv27AEANDc3AwDa29uxd+9e9Pb22vts374dwWAQ8+fPL+Z0Jh/nH69ViRaQRczwypjhk1HnV+C3CyNIeMcb57cInUdLhsmEU4DV+U3IXkQXIIns4rb2cQvW/oKdc23PuXNeXK7s4wpwzMIT7WZHw0SdvN7RMYGe7oYNGzBnzhx4PB4sWbJkWECYz+DgIFatWoXm5mYoioIzzzwTW7duLeqYRUW6q1atwubNm/GHP/wBVVVVtgcbCoXg9Xpx4MABbN68GZdccglmzJiBN954A7feeis+//nPY+HChQCAZcuWYf78+bj66qtx3333IRwOY+3atVi1alV5RLMjYf2heSW3nSomW5GvQH9o44rbYd/w1xwAE1xdzwpoIQp99c+PhEUBgmNYqKEbAIysrcB/2oMwkR0PVKh/L9kNU4Jf//rX6OzsxKZNm7BkyRI88MAD6OjowL59+9DQ0DBsf1VV8aUvfQkNDQ347W9/i5kzZ+Kjjz5CdXV1UcctSnQ3btwIgBVAOHnkkUfwjW98A7Is49lnn8UDDzyAeDyO1tZWrFixAmvXrrX3FUURTz75JG666Sa0t7fD7/dj5cqVOXm9ZYGz34IV5QiW2AZkNi3CjnCtBTTyc8cX29qxvlUYABz/ZIXXyLtui6yQXRR1s1FAHjdbAA3IbvubSlLTkczoSGk6kHSMfOfiay/ECdl+vmQ3jJ4JWki7//77cf311+Paa68FAGzatAlPPfUUHn74Ydxxxx3D9n/44YcxMDCAF198EZIkAQDmzJlT9GkWJbonm7bZ2tqKXbt2nfRxZs+eXXRIPiXJm4NW65XRFvLiEzUBzLHmoFUprJ0jpYuND7yReUB2o8bDBn/OrfZhZtCLbtPMNjLnWINC+QdljVe2I2PeetMniajzKfBJ7MOTj1sSrf/CSFrDQFLFsYSKPeFB9CXSyOQPw4QrG9EaJhsB7/Qqnd9+KOrN5RRFNz+ltNCakKqq2L17N9asWWNvEwQBS5cuRVdXV8GH/6//+i+0t7dj1apV+MMf/oD6+np8/etfx+233w5RFEd9mtR7oRScaWJ5c9Dq/R42Wt3H0sUkK+qiKHf8sItRJBEzfDKaAl7MDvmgGwb6BAEpLoYuFyQrEuZi2hzwwGM1la9S3PDLbvjcIur9Cjxu0RbhoCLZx4tnNAymMuhPpKEaBrojCRyOJhFPugA1k3tyvPOc7hgJT3bDiTnF7IX8zKZ169bhrrvuytnW398PXdcLpq++++67BR/+gw8+wHPPPYerrroKW7duxf79+/Gtb30LmUwG69atG/VpkugWS36zcrfVM9cjsQU061LN++daUS4too0vsijY4tgYUPDJGVWQRAG13jQi6Qx0w4BoZZRUyW4EPRKqFQltIZ9dMcgXPb2SiForApZFAR537kJoPKMhpmo4llQQUzV43Sxb5bAo4HjEsCJaI3eZ2nTleb8kvCNyipHuoUOHEAwG7c1jtVZkGAYaGhrw7//+7xBFEYsXL8bhw4fxox/9iER33MjpmyuwlW63iJAiodYjo84no9GKdGusSRHZUTIkuuOFKLigWOIYUiQ0Bbw4qz6IWq+M3kQax5Oqva9tFygSgh4Js6q88Fjl2rx0W7IiYR5BiwIgi8zb1Q0TgYwbQUVHQHYjmsqw6kOrbWcknYGhWpG1YS228ewGvsAGkPCeiFOMdIPBYI7oFqKurg6iKNrpqpyenp4RU1ebm5shSVKOlXDWWWchHA5DVdVRtzAg0R0tTsEVXIBHgmT98c5vCKIt5MOsKg/Obgii0e/BDJ8Mv+S2/5iJ8UUWWVc3r1tk8+gUCTFVQ0rTkdT0nP2c0Wu1R7KmTWS/jTgbFLkLFLXohom0bkDVDQQVCafXBhCOpXBwMI5an4zwUArhWAr9g3EAeu4Cm3gCn5fvw5lqAnyyb2tT7XxPgCzLWLx4MXbs2IHLLrsMAItkd+zYgdWrVxe8z4UXXojNmzfDMAwI1iLse++9h+bm5qJ6xpDoFoNj0q8gWRGuT0ZzwIPmgAdNAS/qfApCHvewr6TE+CIK7Ou74mZ/DLU+GVWKG2mNiaNzP1l02ZGrLGSzS/IF1vl/x7fphglRzIp0tYd5vbLV0jOSymCGlx07ks5kF9icVWujiXr5fpMlZKW8b8cqD3mCKtI6OzuxcuVKnHfeeTj//PPtrCuezXDNNddg5syZWL9+PQDgpptuws9//nN8+9vfxs0334z3338fP/zhD/G///f/Luq4JLqjwblwZo1WdwruzCovGv0ezAx62Qq45LYb3pCtMHHkCq8bqmDA4zZZoQTfx5VN3xNdLluk+W05jzXSMQD7OH7JDcGKjCVRQErT7Ui7N57G4WgSKQBIWQtsOd+YkCu8QGHLYboxQSljV1xxBfr6+nDnnXciHA5j0aJF2LZtm7241t3dbUe0AFuge+aZZ3Drrbdi4cKFmDlzJr797W/j9ttvL+q4JLonIt/DlURAZivc8+qq0BbyYWaVF3/TXIPmKo+dssSHTpKtMPGIggsi2Guvn+SP8FQ+EPlxqhS3nVpW65URsuyG3ngKXknEW31R7OuP4tDh44DD5uB5wBCFPIvBUuHpnNc7gQ1vVq9ePaKdsHPnzmHb2tvb8dJLLxV9HCckuifDTpZnouuxBk42BTxoCnjQUuVFg19BjYd9pSTBnTpMxLcM0YpYFTArqUpxQxRcEFwutAZ9GFI1xFUNh8KDQNoAtLzmO85uZrwvxEiVbJPJaF7LsTpfangzDclfNHO5ANkNj8SimVqvYgvuzKAXNZaH55fc1L5xGqEbudaFW3DBY0Wwqu5Gg19Bf0JBn0+22kuagKplRUUSs/0aAEtoHQcYyXIYb07UJ/iE9xvFPqOhwhvekOjm4xRcSQBE1hClscqLWi+zD2aHfFjcXIOZQbZw1hTw2FMiKMKtbJxCy7MYuI2hmyZSmo5ERre3yaILCk8xUjUgnmI/RYFVxkkCEPDmNtNBXqcyZ8/e8YJH2IVEM1+E8/dxnps++sqs6QqJrhPn6qtglYu6RfhlN+p9Cur9CmYFvWgKeFBvWQohRcoumlGEW7E4hdUptklNh2Ga0AwDugHEVA1JTUdc1dAbT6MvoaIvkWYLafySzlgf6hqgSOyD3S0Cijv77QrIbRMpWpHyeFgmztLkkQR2JEF27pP/e6mYqOhpwCS6HOebReRt/pjg1nolzAx6rbQwD9pCPis1TEKA+7hU6lux5Ee3Q6oGVTeg6joiKfZ7xmAiHElnkMjoiKYzOHA8ho8GE/gokgDiaSClMsHlmQyqAGR0u38HdAPwuxytI3kzJSsK5d+ixjLq5Y/PMR0CnL/NbpXpuG08PgjI050GjFBpxsftNAdYOtisKpaL2xhQ2Eq1lYxPFWeVhzPzwRndqrqBSCqDpKYjpmoIx5JIagYyuoFkRsdgOoO4qiGSyuDtvig+OB7DocEEEEsBSTUb7QLsvaYb7GdGBxQjmyWT37t3rKPJk78A2d+dvYlPhODKzdAoFRrXU+HkN6+xKs1qvTLm1wft6HZRU3XWUvBIlBo2xcgXyULbi4VbCLppYiCpImlFsAcH4+iNp9GfSOPd/iiiaQ1DaWYrOPfDQIxFuPEU0BtloqtqVnmwFSEKAtsmiczOSqmA7Lb8XpHZD4Lj/Tke8NdLM7LiysXTNNl23ciNQG2/2ZX7XPT02JwPRboVyrBuYQI8isS6hfmYfzuzyotGK9INKizpPUCpYVMGp9fqvO5c4Cr6Ma3H4hZCMmOgP5HGsWQa0bSGt/uiCMdSOBpLYW9PBJFUhnUyy+gsitV0JqSRBLMTkiqQSAEZgwkujyJ1S+BSYM3WNatJTkZifq9bZI/pLhDtjiVcrHQ9e06anhVg3SHGhUSXIwqAoeKUoUi3AsmZd2V5WlaWAhfcmUGvXfxQ51NQ51Os5uSS3ZicBHdycXqtac2wbQCeRQAAmnMo5UkfL/u7qrPHS2Z0xDMaDh6P41hSRU8shdfDgwjHUjgcTSJ6bIgJa1pjD6BqWdHldoKqAaolYjk9dx2YJhM8wcX2lUX2ntT0rMUwnpiWuHKR5UILMOHPf4EKIY5RpFvhTD/Rzc9Q8Eg5C2bz60O2f7u4pZb1xvXKqPcpOVkK5OFOPPkLWomMbgss/3qfsqY6DKYySGnsdvVkYuF4fADQDHYfnoUQSWewtyeCozHWyCbeG2G2QVJl0aymM2HiYsWFS9Oz4sXFttCpGHp2rJCmO2asAZClbDQ5nsLLI1k7snV0SNMd0W1+FoPzK/1YRbpkL1QQBSJcweoUFvJIaPApmB3yoSmg2M1r+IKZTxJp7M4kwgXXma4VSatIZpg49ifSGEpriGeYv9oTTzHhzOhIOBZ3jFF8BeVCnchoSGoGBhIq3u6LIpVIA4k082dt2yDt8DyN7NdzdrC8r+QnOKhzrJBhWv14BcCwFt0EAK5x/mbFP5x41MvJtxRGwjTZB8ipQvZChZCfoWBFESFrzE6DnxU5tIZ8aLbycIdlKJDgTjgnStcKx9KIqxqG1AwOHk8gmlYxkMwgpmr4eCiJuKohrRk5rR31UURDumHaXm5S0xHni2IJlQntYNyyDDRmH3CBMhyiCWSbmQMnFlwOF15ByIq3YTi+nY3eKikJpxVjFIg27Q+CvFJmfpspsIj9VKFItwIYIUMhpEg4uyGIJqtTWEuVF59qrrYXzOr9Ci2YTQL5Xq2qG1ANA8mMhiNDKURSGQwkWfQ5kGTFB+/2D6EvnsZASoWRyrAUrYye+xV/tPDm47q18JXRWUSbtoQ2nckKYr7g5jxOCU/eQHbqBP96P9kYI17Jfd6acXLfd1THo0i3vHH6t1aGAhfcer+CmVb/hJYqVmnGUsLcCMgSCe4k4LQRNMNELKMhmdGQzBiIpDM4eJyla/XEU3ijJ4K+eBp9iRQO9Q3lLlwl0lnB1fMiuNFgr9xbK/qpDKBp7HdNz0aC+WI71sHoRAtvfqvJkW4fTyjSLWPyx6RLLEOBL4zV+xVbcGda3cJm+GR7ICEJ7sThTP3ivQtUg/mpMVVDNJ3BMSu6DcdS+HgoiT1HB9GfSLNFrYGYlUWQYZFpOlM4v3S08GiLi6+zUQ2PgIHxE6GJELcTHXMyjj9NqFzRze8U5uiFy9syNvgVtAZ9aAp47H64XHCpec3EkR/dJjUdyYyGmKqjJ5bCYCqD4ykV4RiLbg8PJXE4mkR/eDCbAxtJMmHklgLPJuCr8MXgFGjDzF1YKtanHQummwCSvVCG5E96EEX4Ax7UeiU0B7xY3FJjC+85DSHUWkMkvW6R9UOlBbNxxxnZ8sUunvp1KJrAsaSKvnga7/RFcTSWRH9CxdFYCh9+PMD82liKLWjxYoRkOrv4NNLqeymMt31ADIfshTLD6eHyogcrB7fZ6ptgZyj4cjMUqHHNxDCSbxtJMRvh/WMx9MRZxdeeo6wQoS+RRiaWBPqj2RzZoaQV0erZ4oNCmQNjAYntxEH9dMuInLSw3NaMXHBnBX2YxRfN8gWXGteMK/ntEXlxw0BCRSSdwXErE+Gd/ig+jiZwOJrCX48eZyLLc2QHYqw/gaqzFC7ur460sOWEhLM8IHuhTMi3FLwKgo7hkYuaqtFS5cWsoBdn1QdR65XgldyoViRaMBtHCvWhVXUDA0m2QBZXNew7NoTeeBqHIqwN4gvd/YhH4kAsDfRZhQiqxlK2EqncDAJnXiiJamVQ4fZCUUqzfv16fPrTn0ZVVRUaGhpw2WWXYd++fTn7pFIprFq1CjNmzEAgEMCKFSvQ09OTs093dzeWL18On8+HhoYG3HbbbdC0EWrSR0O+pSC5cwSXFz3wBuRccClDYXyxbQRLcIesLIQBq4dBdySOg4NxvN0Xxf+EB7HHusR7I0B/DDg2BETiQDQJDKWY4Ko6CS5R1hSlNrt27cKqVavw0ksvYfv27chkMli2bBni8bi9z6233oo//vGPeOKJJ7Br1y4cOXIEl19+uX27rutYvnw5VFXFiy++iMceewyPPvoo7rzzztKeQb6lYHXhdwpuW4hZCrx5DRdcRaQMhfHC6dsmMjqGVA0DSRXHEkxwDw7GsX8gjr09Eew+chyvhwfxengQPT0R4FgMOB5jfQ3iKlskS2eY4PK8Wy64BkhwKw1uL5RyKQNcpll6TN7X14eGhgbs2rULn//85xGJRFBfX4/Nmzfjq1/9KgDg3XffxVlnnYWuri5ccMEFePrpp/H3f//3OHLkiD1fftOmTbj99tvR19cHWZZPetxoNIpQKATctBHw+HIsBd64ZlFTNWaH/GgN+TAz6MX8uqBd9FAlu+1OYcTYMdICWUxl/WX3D8TsPrSvHTmOw0NJhIdSiPYMWpFsOltmm7a6dRUqRCCRnbroaeC9hxCJRBAMBou6q/13/fk1gNtT/LG1FPD8+pKOPZGcUpgXiUQAALW1tQCA3bt3I5PJYOnSpfY+8+bNQ1tbG7q6ugAAXV1dWLBggS24ANDR0YFoNIq33nqr4HHS6TSi0WjOJfsM+EiTbKew5oAXs4I+tFgjdpoDHltwZSu6JcEdW7jgpjUDiYyOWEZDXzyNcIx5tQePZ22E144cx+4jx/FeeJAJbm80G9lGk9ZCmeaoKNNJcKcT3NMt5VIGlLyQZhgGbrnlFlx44YU455xzAADhcBiyLKO6ujpn38bGRoTDYXsfp+Dy2/lthVi/fj3uvvvu4Tc4K83y0sJaqrIzzWo8MgKyZBc9kOCOLbx1Ih/UyPNtjwwl7Xxb3of2cJQVNkR7Bq2pCuncBjKq1ZuWotvpi4ESsxfG/EzGhZJFd9WqVXjzzTfxwgsvjOX5FGTNmjXo7Oy0r0ejUbS2trIo181mSg1LCws608LcNLF3HLAzEyw7wZmVcDyp4v1jMfQnUvh4iDX83n3kOI4PJVlhQ7/VKyGpDm9O41wkK5M/JGIMqfDshZJEd/Xq1XjyySfx/PPPY9asWfb2pqYmqKqKwcHBnGi3p6cHTU1N9j6vvPJKzuPx7Aa+Tz6KokBRlOE3SAIkq8ChKeDB4pYalqVQlZsW5nWLqJLdFOGOEc7INq0biKYzGEqzZt/vHRvC0VgKR6JJvHJ4AB9HkzjChbYnYnXrsrqAjeTbktASFUxRnq5pmli9ejW2bNmC5557DnPnzs25ffHixZAkCTt27LC37du3D93d3WhvbwcAtLe3Y+/evejt7bX32b59O4LBIObPn1/c2btF1i3Mp9hlvdxScAquQh7umKAbpn2xvVtVYxkJcRbN7usfwps9EeyxshGO9A6yXNu+CLMRopYAJ07g2xLTmwrPXigq0l21ahU2b96MP/zhD6iqqrI92FAoBK/Xi1AohOuuuw6dnZ2ora1FMBjEzTffjPb2dlxwwQUAgGXLlmH+/Pm4+uqrcd999yEcDmPt2rVYtWpV4Wj2RCcvuVHvZ93CeBPyep+CGq9MaWFjjLPHbSKj2/1tY6qOI0NJ9CXS+DiaxOvhQXRHEjgcTSLTG8mOHneW7WZ0Nr6GfFuiEFSRlmXjxo0AgC984Qs52x955BF84xvfAAD85Cc/gSAIWLFiBdLpNDo6OvDQQw/Z+4qiiCeffBI33XQT2tvb4ff7sXLlStxzzz1Fn/wnavz4VFM1Zga9aA367OY1IY9ElWZjhDMrgTcTPxxNIprOoDeeRl88jT09bIGsO5LAO919QNRqSHNsKNvfVtNogYwYHeTpZhlNSq/H48GGDRuwYcOGEfeZPXs2tm7dWsyhC8JHo/P2jPnjdUhwTw1n3m1+VkLYGtIYtprSdEcS6B9KAn1DzLeNp2mBjCgNinSnLi1Vnpx+uLw9I1kKp05+RVkklbGb0rx/LIYjQyyyPTyUZE1peLtF3kw8ZQ1u5GNtSHCJUVNqzi2J7rjz2dY6LGqutkbsSJjhle0BkkRpOMV2SNUQUzMYSGasvrYp9MRSeKG7Hx8cj6M/ahUz9EasZuJW+hePbLW8xTESW4Iob9GdFfShzqcgILsRsFLCqB9u6eRHtwNJFQNJFf2JNPYPDKE7ksRHkQReDw8iw6vHYilWSZayxuSoWjayJd+WKAXDBFxkL0xJGgIKNSAfI/IXzOIZDf2JNI4OpXB4KIm9vVF8NJhAdySBTF+UZSLwzIR4mlWS8ZaLlG9LnAq0kDZ1qfHI1IB8DHAKblLTEVMziKk6PrJSvz4cjOONnggT3EiCVZMl0lb3L40JLx8A6Wy3SBClQJHu1KXer1Cl2Smi6oZtJ/Ql0oikMuiJs6yEXR/24eBgnJXzHuzNRrfOLmD53i1Ft8SpQpHu1IXshNJx9k1IZHQkNebhhmNJHI6m7Oj24GAc8QGrvy2fTZZSgYxB3i1BlEB5iy4JbknkV5fFMxqG0ppd4PDhYBzvD8TwZm+ELZLxRbOkahU76Fk7gbxbYqyhSJeoFHh0q+oG0jrzbw9Hk+hPpG07Yf9ADO8PxNAzGAc+7GN2QjwNDCWy0W3GGq1EYkuMB+TpEpVAfnTLFsxYdRmPcN/ui+L9gRiOD8aB43EW4RaKbgESXGL8INElyp38MTrcTjieUvHB8TgORRJ4f2AIb/VFmX8bSWQXzVKZ3E5gAAkuMb6QvUCUK4Vyb4fSGj4cjCMcY/m3zx3sZWW9x2PAoX42qyxu9bodSjE7QTfIuyUmDhJdohzJb1bDc2+PJ63oNsoKHd7oiTA7YTDBLgmrDSPvdUuLZQQxppS16Opl4uFMNCM1q+ELZu/0R/HB8Ti6Iwkc74tm7YShlDXqXKPsBGLyIE936sKFBaD0MU4hS6EvkUY4lkRPLI3uSAJ7eyL44HgcR6IJ1vOWZygk1dzxOSS4xGRA9sLUJZbW4NcNiIILum7a3cWmqwDz6rK0bqAvnraj29eOHMfBQRbZ7h+I4cMP+1jebdwaEMkbjacz1GCcmHxMlBa1lofmlrfoRtIqqjI6RMEFRRQAgVWp6YY57YSXzy7j6WB9iTT6E2kcjibxTl80W84bTQADQ0AsnW02zqNbshOIqYBhoiQFJXth/AnH0vAFVHglEbpbhE8Ss6M2LeGodPG1y3lNc1h12eGhJA5Zi2UHB+OI89xbvmDG/VtnOS8JLjHZkL0wdfn/9n6Ez6VMe1RPS5UHXskNWRDgk8SKtx2cdoKqG2xkjrVY9pfufhwYiLF0sA97gWgiG90OJrLRLU8HA0hwCWICKGvR/fPBXvj8VWgN+TAr6IUkCAjIBqoU9rRkUYBbcFWk7eC0E1TDQCSVsWeXHTwex5vWYln/YBw4FmP+LUW3RDlQ4ZFuWQ8SO7zvKP70QQ9e6O7H7iPHsf94DIeiCRwdSiGSVhHLaEhkdKQ1wy6BrYQ0M56hYHcHS7AJDx8NJrCvfwhv9UXwVl8U/b0RgDccj1tRLs9Q4BVmJLjEVIMPpizlUiQbNmzAnDlz4PF4sGTJErzyyiujut/jjz8Ol8uFyy67rOhjlnWki6f+ig+7I/iwMYRnGkP4y7yZOKM2gLaQD3/TUoMGn4Iar4yA7EatV4YsCqzhuekqS8tBN0yougHNKngIx1JsukMshcPRJLZ/0MOyEwZiwIe9LO82qbK2jM5WjCS2xFRmgiLdX//61+js7MSmTZuwZMkSPPDAA+jo6MC+ffvQ0NAw4v0+/PBD/NM//RM+97nPFX+OKHfRTfYC73mZqAwM4X9cLuybUYXTawMAgNYQmxTc4FcgulzDFtzKyXKw828t/zamZu2Ej6NJHBiIYW9PhHUHOx4HIsls7m3GoOwEonyYoOyF+++/H9dffz2uvfZaAMCmTZvw1FNP4eGHH8Ydd9xR8D66ruOqq67C3Xffjb/85S8YHBws+jTLW3Rn9QMfKUxkBmKAICA1owpv1lVBFFyYV1eFudV+tIV8kEUBQUVCQBYByLbfK4vClC+wGFbSm9YwkFTRHUng4PFs/m3PsaFsdzDerCadyRVcgpjqnGKkG41GczYrigJFUXK2qaqK3bt3Y82aNfY2QRCwdOlSdHV1jXiIe+65Bw0NDbjuuuvwl7/8pfhzRLmLblMEgMJEJhwHXABmBIG6AP5HENAdSeDs+iBOrw1AFgU0BTyo8cpwCwJ0U4TMZ6tZVsNUjXq54KZ1tmDGJzzs6x/C+wNDOHg8gYODcVbowLuDOfNvqTsYMY1obW3Nub5u3TrcddddOdv6+/uh6zoaGxtztjc2NuLdd98t+LgvvPACfvnLX2LPnj2ndH7lLbqz+4H6FJCQgbgHONwHdPuBN3zAgV4cbwzhhcYQXmgI4S/zZ+GTM6pwxowALmytQ4Of+b1NAU/W6xVcUyq/l0e4Q2kNSY31UNh3LIruCLMTnnz/KPNvj8eBSBzojWbH6aQ16g5GlCenaC8cOnQIwWDQ3pwf5ZbC0NAQrr76avzHf/wH6urqTumxylt0/SlAdgFKBvCpbFtVCqiOAwdEYDBmWw8HRAEHG0PojgQRkN2YW+23BTcgu6G7WeSruIVJ93qdBQ9pLduSsT+RxsHjCRw4zqY7fNgXZc8vmsw2rOHNapz5twRRTpyivRAMBnNEtxB1dXUQRRE9PT0523t6etDU1DRs/wMHDuDDDz/EpZdeam8zrL8vt9uNffv24bTTThvVaZa36MoaIKcBSQfUDGC4AF8aCHgATQSOJ4H3k2yhzS3COB7Hm00J1PsVDCRVzKn2IyC7oXplBGQRXskNwA3FbWXSGZMT8fL0Nj4SfTCVsbMUDhyP4d3+IezrH2L5t5EEy8GNp5l/my+4pLtEuTEBC2myLGPx4sXYsWOHnfZlGAZ27NiB1atXD9t/3rx52Lt3b862tWvXYmhoCA8++OAwS+NEFC26zz//PH70ox9h9+7dOHr0KLZs2ZKTq/aNb3wDjz32WM59Ojo6sG3bNvv6wMAAbr75Zvzxj3+EIAhYsWIFHnzwQQQCgeJORtYA2QB0ISu4mgikJKA2BsQ87BLxAX/pB7xBoCGEPx8ZwJ+ba1DTVI3/Z/4snGalmTX4FbQGfQgobnh5lsME2g3O/FvV4d/+T8+gvWD29P4wjg8MAccTwJEBJrZ8uoOqkX9LlD8TlL3Q2dmJlStX4rzzzsP555+PBx54APF43M5muOaaazBz5kysX78eHo8H55xzTs79q6urAWDY9pNRtOjG43Gce+65+OY3v4nLL7+84D5f/vKX8cgjj9jX8z2Vq666CkePHsX27duRyWRw7bXX4oYbbsDmzZuLOxnB6rspGoDLBXhVJrpuHTBdgCfDtnlVQBOAgRSwP8ki4WgSx6NJ7LSi3uNJ1c5yUHUZVYobossFt+Cyvd7xFN5CGQq8JaNzwczufxtJZAWXV5iR4BIVQYn2QpFCfcUVV6Cvrw933nknwuEwFi1ahG3bttmLa93d3RCEsa8fK1p0L774Ylx88cUn3EdRlIK+CAC888472LZtG1599VWcd955AICf/exnuOSSS/DjH/8YLS0txZ2QYDKREc3sddFgoitr7OLJsGjYpwK+FLCfiS5iKbxX5UF4KIVwLIUz66oQkN1IBnTU6Qo83OeFAFF0jWtq2UgZCt2RJN7qi2L/QIxlKAzEshkKyXS26EEnO4EgimX16tUF7QQA2Llz5wnv++ijj5Z0zHHxdHfu3ImGhgbU1NTg7/7u7/CDH/wAM2bMAAB0dXWhurraFlwAWLp0KQRBwMsvv4x/+Id/GPZ46XQa6XTavm7n4XHtE/gnnCW2LpNFt26dXWSNiS6PfJMK8IE1C8yvIBpN4oWhJD4eSqJKduO0mgBmV+vwSqK9yAbATi8b60U23keBj0V3Cu6BgRj2HRvKZikMxrMzzKjogahESp0cUSa9F8ZcdL/85S/j8ssvx9y5c3HgwAF897vfxcUXX4yuri6IoohwODysxM7tdqO2thbhcLjgY65fvx5333134QM6/3MEADABESzalTUmsrrAfqpuICkDoQTzeQf9wLZBoD4INATxYVMNHjwygDkttfhUUzX+1ydbMLPKixqvjJlBL2RBsDMcxsJucFoKg+mMHeG+cngABwZiePfYEPb1R3Fofw8T3HiKLZ7xBTNNJ7ElKg+zRE93uoru1772Nfv3BQsWYOHChTjttNOwc+dOXHTRRSU95po1a9DZ2Wlfj0ajhVcLXSaLdIGs7SAAgJGNfEUDyIhZ2yElAcdSwIEU+8oe8uHDtIZYWsPcaj+G0hpmBj3wukWrexl7ybjwAqWLr9NS4FVm4VgyV3CPWREub1rDK8yoQxhRqZDonhqf+MQnUFdXh/379+Oiiy5CU1MTent7c/bRNA0DAwMj+sCFyvhGhEe+pmu438sX3XSBpZnJGpB2M0EeSAOHUkDID6Qz6E9l8EKNHwNJFZF0AFWyhDpdgeYxEJClnJaRpcAtBc1qYsMXzbojyVzBPRbLCi7vEEZNa4hKhuyFU+Pjjz/GsWPH0NzcDABob2/H4OAgdu/ejcWLFwMAnnvuORiGgSVLlozdgfl/Gl98FPTsAptoAFVJZjcEUkBCAWIKsxvejwNvVwMtNXilN4JXmmsgNVXjqgVtOLOuCqfXBDAz6MXcGj+8bhGKKEC2DjKaiJcvxqm6gSFVQ0zNYCCZwe4jx+0c3Gf3Hcnm4A4lWXkvz1DIaOyBSHCJSoVEN5dYLIb9+/fb1w8ePIg9e/agtrYWtbW1uPvuu7FixQo0NTXhwIED+M53voPTTz8dHR0dAICzzjoLX/7yl3H99ddj06ZNyGQyWL16Nb72ta8Vn7kwGgpFvpLOfhdMQE+x624dcBtMgGUNOJIGqliWQyaaxF9CPiQ13fZha70y4GEPXewCm26yCJcLbk8shUPRBN4/xhbN7KY1PMK1U8IoQ4Egyp2iRfe1117DF7/4Rfs691pXrlyJjRs34o033sBjjz2GwcFBtLS0YNmyZfj+97+fYw/86le/wurVq3HRRRfZxRE//elPx+DpnADu99qWg5HNchANdpF0ttAma6y0eL/Hbh5zoK4KSatowTBNzAp62eN6kDMU80Q4x6MnNR19cRX9CTYW/d3+aG6WgtNS4IJLHi4xHTDtf0q439SnaNH9whe+APMEYfwzzzxz0seora0tvhBiLMixHKwsB8HMZjkEUkxs4wrQMgDUxIFjVcCeIBBP4cjsemyZ24AX21jDi9NqA5gd8uG02sBJrQbegJxbCn1xlqXw4WAc7/YPYev7R1kO7vE40BthYqtqzMMlS4GYTpC9UIE4sxxcJlto43aDP52NelNRQNKY9dDdb9+9xzSxp3WGfb3Op5zQanCW93JLoT+Rtj3c/QOxrOBGE7mCS5YCMd2g7IUKJX+hjVsOSiab5VATZz8FE+g7BnyYbQT+4ux6+6Fmh3zslzyrwdktTDdMxDMaYqqO40kVh4eSeP9YDPsHYjjAfdxoIuvhUloYMV2hSHea4PR6ZY1dr0oCguX3thwHwibQzXbvmVOPF627nlabbdTjdYtQMNzj1QzWF/d4UkU4lmLTHo5bgjsQywpufloYQUw3KNKtcPIr2nhqmWT99KdZj17BAOojQN8g8PEx4M9Az9xGbJnDIt4FDUGcWRfE4uYahDyS7fECQCKjI57R7AyFd/qj2NsTwXsf9LK2k8fj2Uoz8nAJoqIh0XWSn+HgdkSaVancfbuP2b8Wshp02YTuFiEKLqiGgURGR188jSNDSXwcTeCjiJUWFk2yxjXOSjOABJeYvpC9MM1wCq9pMuF1mSyzwUn42DCrQTMMnFkXZAtnPgWGYkJwuZDMsFE7R2MpHB5K4uDxBA5FkqyXQlIFklYvBao0IwhMVGvHyYJEtxD8U1Y0ss1zQolsWlkoyW53Wg1zGvDHuQ3QDWBhYwin1wZQ71dQ65URUzWEYym8engAr4cHcSA8CPRFmaWQcC6ckdoSBECRLsF79MpadlttjLWWdJnAh/0sOjVMvNBSi6SmI6npaKnyojngQVLT0RtP4wNr+oPdDzedATJ6ruCS7hLTHeEURLcM/n5IdE+Es4SYp45xeLQLAOF+4CP2lSg6awZ2ZTREUhmcMSOA02sDrKFNPI2Dg3FkIgkmuIk0E1xuKwBl8YYhiHGHRJeAy8xWsbnMbO+GQAqoTjBB7h8AenuBZ9Iwmqvx15Za/LUuCE9bHbySiJiqIXPoGEsNs6ZWIKWSj0sQ0wwS3dGSn9nArQaXyawGwWCLbm/62QJZLAUMJpDSDaRkN/sUPh6zezkglaF+CgRRCFeJkS4tpFUgTuHlHq/LZItsosG6lLUdA/oywP4UEEkysfVIbHBmIs3G7PCFM43UliCGcSr2QhlAolssXHjtKcSWzcA7lTUNMjEeTAO9VpqZXwHcVr2xAfbmME0mxDmPPf5j3gliykORLjEMp8crgokuTyeTtWxT9JgH+HgAOOYBUjKQ8AGym0W+shvwKYAoAIKL/eSf1CS+xHSGRJcoSKHMBr64JumsO5miAZrIxDctAcc01jYyqrDoVxLB/gsE6ysViS1BkL1AnBge9fJmOf50dhKFpLN5bP40E1sTLBKO6UDM8noBAG4W7Qog4SWICodEdyxw2g1KhgmuksnaDnz0e1UKGPIAUS+bx3bEZBaDXwH8nlyrASABJqYnFOkSo8KZ2QCH3eDJZBfZVHfum2nICwxZv8t8vLvAfGKg8GIbQVQ65OkSoyZHeK03gJLJer7+dG5VW5VV1TYEIODJCqwz2iXhJaYbFOkSReF8s/CUMu7x8kGYPNMByFoNR11MeL0y+wkw8SXBJaYbFOkSJeNcZJOsxjZOgkkWGRsCMJAGkpan65UcUS9/LBJfYprgQu43wtFSJrVGJLrjjVN4eQUbH4oZSLHfTTABjriAhIstrgGA2/rvEV1kMxBEhUCiOxFw4RXzPoq9qhXpuoBggqWXRVyA6rGsBQMQxIIPSRAVS6n2QkmWxMRDojtROMuGeTaD4WLZDUqGZTb4VMDvBz6WgSojG/EC2Yo1inaJSodElxgz8gspZC0b6QZSLNLVBEBKA2k369cgCqxyjQSXmC7wdMuiIdElCmEXUlgTh7noelVWMqy6AW8aGJQAxZ3b5Fwk0SWmARTpEmMOF16+sCYagJrI2g+1AcAUgKiVMqZIzNulhjjEdKDCI13h5Lvk8vzzz+PSSy9FS0sLXC4Xfv/73+fcbpom7rzzTjQ3N8Pr9WLp0qV4//33c/YZGBjAVVddhWAwiOrqalx33XWIxWKn9ETKDv5pzv1dSWcizPN4lQwgZljvXcOKdnnEWyZJ4ARBDKdo0Y3H4zj33HOxYcOGgrffd999+OlPf4pNmzbh5Zdfht/vR0dHB1Kp7Ajzq666Cm+99Ra2b9+OJ598Es8//zxuuOGG0p9FOcMborst0ZWsvg1eFfBYDc91g10IYjrAI91SLmVA0fbCxRdfjIsvvrjgbaZp4oEHHsDatWvxla98BQDwn//5n2hsbMTvf/97fO1rX8M777yDbdu24dVXX8V5550HAPjZz36GSy65BD/+8Y/R0tJyCk+nzHCWC3sy2e018ezvxwAkvICP38eyHGhhjahUKtzTLTrSPREHDx5EOBzG0qVL7W2hUAhLlixBV1cXAKCrqwvV1dW24ALA0qVLIQgCXn755YKPm06nEY1Gcy4VAX+T5NsMXhXwpbM/+ah2bjOQvUBUMhUe6Y6p6IbDYQBAY2NjzvbGxkb7tnA4jIaGhpzb3W43amtr7X3yWb9+PUKhkH1pbW0dy9OeXFxm1mLgPRo8GcCbyQpvyvJ2M3qut0sQlQiPdEu5lAFjKrrjxZo1axCJROzLoUOHJvuUxh5ntKtkWNqYP83yd92W8Gp6Nsrlc9YIotKo8Eh3TFPGmpqaAAA9PT1obm62t/f09GDRokX2Pr29vTn30zQNAwMD9v3zURQFiqIUvK0i4IILAB4wsXVSGwMGwFpAKtZ8NQjUk4EgypAxjXTnzp2LpqYm7Nixw94WjUbx8ssvo729HQDQ3t6OwcFB7N69297nueeeg2EYWLJkyVieTnkhOCJdnsmgaLn+bjrDRJbsBaKSqXB7oehINxaLYf/+/fb1gwcPYs+ePaitrUVbWxtuueUW/OAHP8AZZ5yBuXPn4nvf+x5aWlpw2WWXAQDOOussfPnLX8b111+PTZs2IZPJYPXq1fja1742vTIXRoL339Xy8na9Khv5k9FZabBBEyaICsVVolVQJnZb0aL72muv4Ytf/KJ9vbOzEwCwcuVKPProo/jOd76DeDyOG264AYODg/jsZz+Lbdu2wePx2Pf51a9+hdWrV+Oiiy6CIAhYsWIFfvrTn47B0yljnOXBspZ7W22MZZYZLiDmt/YHTZggKpMKTxlzmWaZfDw4iEajCIVCwB0AKs3qNV2s/4LqBlISi24/ngEcCwDHqoAjzUDQA3gVNmXCOV2CRJeYbPQ08N5DiEQiCAaDRd3V/rs+83xALGG5SdeA914p6dgTCfVemIo4MxlEA5A0lkbmyQAZDVCt8e6GyUSXICqJCo90SXSnGvmZDKYrO9ZHF4BQAoiLgFsEPAYTXQEU5RJEmUCiO1XhE1HderYZjqyxqNfIAJrM9qNol6g0Ss25LROnlER3KiKYrNE5f/MNE149WxYsCkx4KWeXqBQq3F4oi4q0aYvT2+W5u54M+6npud3HyuRTniBOioASK9KKP9SGDRswZ84ceDweLFmyBK+88sqI+/7Hf/wHPve5z6GmpgY1NTVYunTpCfc/0dMjphrOfgx8rI/HavcYSLGLkGbRrkm9dokKY4KKI37961+js7MT69atw1//+lece+656OjoGFYxy9m5cyeuvPJK/PnPf0ZXVxdaW1uxbNkyHD58uKjjkuhOdbgAc4vBYzU4l60GOBr12iWIUrj//vtx/fXX49prr8X8+fOxadMm+Hw+PPzwwwX3/9WvfoVvfetbWLRoEebNm4df/OIXMAwjpwJ3NJDoTnW44OZbDB41azHwaJcgKoEJiHRVVcXu3btz2tAKgoClS5fabWhPRiKRQCaTQW1tbVFPjxbSpirOycGSzhK/vSpQlQIybjY1+ECKLaSJAuAy2PRganBOlDunmL2Q32+7UMOs/v5+6LpesA3tu+++O6rD3X777WhpackR7tFAkW45wBfUJEekq2jZGWpOb5cgyp1TbO3Y2tqa0397/fr1Y36K9957Lx5//HFs2bIlp8XBaKBIdyrDo11ndRpPG1MybIZaWgd0HdCt/0qKcoly5xRTxg4dOpRTBlyoLWxdXR1EUURPT0/O9p6enhFbzHJ+/OMf495778Wzzz6LhQsXFn2aFOlOdfhCGo9y/WmgKglUx4FgAhCSQFy1pgZTFgNRAbhKjHIt0Q0GgzmXQqIryzIWL16cswjGF8V4G9pC3Hffffj+97+Pbdu25YwcKwaKdMsB57h2Z69dnrObtIoldAMQRIp2CWIUdHZ2YuXKlTjvvPNw/vnn44EHHkA8Hse1114LALjmmmswc+ZM257413/9V9x5553YvHkz5syZY48XCwQCCAQCoz4uiW65IJgFvF0rfSxmFUsQRCUwQRVpV1xxBfr6+nDnnXciHA5j0aJF2LZtm7241t3dDUHImgEbN26Eqqr46le/mvM469atw1133TXq45LolgPOsmAe7TrLgmXNkTpmvUlEinSJMqXU7IUS7rN69WqsXr264G07d+7Muf7hhx8Wf04FINEtJ3iUq+kswvWpzONNyEBUYYUSLstiAMhmIMqTCu+9QKJbbvAsBntsuwa4Ddb8hiAqgQmMdCcDEt1ywFkowa9zwRVMJrpuy2KQYHUdm8TzJYhTocIjXUoZKzecXccUjU0K9qgsZ1c3hi+oUeoYQUwpKNItN3iUy7MZnL0ZNIPNjCOhJcoZsheIKQkf1S7pzF4QDTYx2LQKJGgRjShXKtxeINEtF/JLgiU9N1/XowKDGUASWeMbPk2CIMoNinSJKQd/c7n1bPYCH+Hj7MNAEOUIRbrElMI5sJJ7u7xAQtNZhgP3dMliIMqRCo90KXuhHOFvStFgGQxcdF06a3yj543wIQhiykCRbjnh7JAvGqzhTUYEfG7WeSyYAKJuQHYDHkfzG4AiXqJ8IHuBmHI4m99wP1fRAFkH4Gh+Y5iAQGJLlBkulGYVlMlbnUS33Bip+Y1bB+RMdkHNMNgYH57FQP4uUS5UeKQ75p7uXXfdBZfLlXOZN2+efXsqlcKqVaswY8YMBAIBrFixYlj3dmIU5PTWzQD+FBBIswY4KZX5ujQlmChHTnFcz1RnXBbSzj77bBw9etS+vPDCC/Ztt956K/74xz/iiSeewK5du3DkyBFcfvnl43EalYnL8eZyLqiJZlaE3RpNCSbKlwmYBjyZjIu94Ha7C84ZikQi+OUvf4nNmzfj7/7u7wAAjzzyCM466yy89NJLuOCCC8bjdCoT54KabS9YWQxuS2zz34NkMRDEpDMuke7777+PlpYWfOITn8BVV12F7u5uAMDu3buRyWRyRhbPmzcPbW1tJ5w1n06nEY1Gcy4Esgtq+eIrWUUSvByYIMoJsheKY8mSJXj00Uexbds2bNy4EQcPHsTnPvc5DA0NIRwOQ5ZlVFdX59ynsbHRnjdUiPXr1+eMVG5tbR3r0y4vuMWQXw7sT7GuY/40kLKyGHSdhJcoL8heKI6LL77Y/n3hwoVYsmQJZs+ejd/85jfwer0lPeaaNWvQ2dlpX49GoyS8wPAoVzRzx/dwi8HZh4EsBmKqQxVpp0Z1dTXOPPNM7N+/H01NTVBVFYODgzn7nGzWvKIow8YqExZOi8GZPqY5LAaCKCcqPNIdd9GNxWI4cOAAmpubsXjxYkiSlDNrft++feju7j7hrHmiADzCdVoMXjVrMcBhMZC3S5QTFe7pjrm98E//9E+49NJLMXv2bBw5cgTr1q2DKIq48sorEQqFcN1116GzsxO1tbUIBoO4+eab0d7eTpkLpeK0GHjqGM9g0B0pY9TqkSCmBGMuuh9//DGuvPJKHDt2DPX19fjsZz+Ll156CfX19QCAn/zkJxAEAStWrEA6nUZHRwceeuihsT6N6UVOWbCejXyTzoU0ElyiTKjwirQxF93HH3/8hLd7PB5s2LABGzZsGOtDTz8EE4ABmK5sBgO3GPxpICkBKQkI6GzxTKBFNKIMqPCFNOq9UAnwyEDSC1sM/L1IfRiIcoAiXaIsyLcY3A6LwV5II6ElygBXiZEuiS4xYTgFV7JG+Mga+z1mZIdViqAol5j6VHikS5MjyhkeEQzrwWClj3lUQFZZq0fe/IbydgliUqFIt5LIyWDQslkMpknNb4jygRbSiLLAmSDuMpl9Kxrsd8MgX5coHyrcXiDRrSTscmAjN9LlE4K5r0sQUxmKdIkpj2ACuiv3zepCVoTJxyXKCYp0iSmNy2TFEc43XE5ZsAFo5fFmJAgAbHm/pEh3zM9kXCiT0yRGhbMBDp+d5smw7AVnBgNBEJMGRbqVhrMBjlsHBCPbf4EyGIhygC8El3K/MoBEt9LIz2DgI9tzMhgIYgojmKV9B6eFNGLCcTZz5uN8BIOEligvKNIlyhLBElyR99Od3NMhiFFDkS5BEMQEUuGRLmUvEARBTCAU6RIEMbVwlWgvlEmkS6Jb6RjW9zT6TkOUCxVuL5DoViqGwC7l8T4kiCy0kEaUDaYL0AV20fhFZCN6BAEQXFQMQUx9KNIlygbDxYTXdAG6CGTcTHhFkYlt/huZBJiYilR4pEtOXyVhupjwGi7WdSwjApobEHmUa/0kCGLSoEi33DFdw39qVpRruFikK7iY8BJEOUD2AjHl4dFtRsxeVDeQktlFEZiVQFEuUQ5UuL1AoltJmA5PNyOyiFcTAJ+1mEYeLlEOUKRLlBWGlcHAI18tz8flv5MAE1MVinSJKYvTx3Wmi+kCsxecC2m0iEaUCxUe6U7q6sqGDRswZ84ceDweLFmyBK+88spknk5lYGcwWMURFNESxIgUq0FPPPEE5s2bB4/HgwULFmDr1q1FH3PSRPfXv/41Ojs7sW7dOvz1r3/Fueeei46ODvT29k7WKZUnvMzXGKW4kggTUx3eiL+USxEUq0EvvvgirrzySlx33XV4/fXXcdlll+Gyyy7Dm2++WdRxXaY5OR2ulyxZgk9/+tP4+c9/DgAwDAOtra24+eabcccdd5zwvtFoFKFQCLgDgDIBJztV4VEtXzgb8gIxDxD1Au/OBHqCQDQItNQAsmUz8NQxEl9iPNDTwHsPIRKJIBgMFnVX++/6dgBKCe/PtAn8K0Z97GI16IorrkA8HseTTz5pb7vggguwaNEibNq0adSnOSmerqqq2L17N9asWWNvEwQBS5cuRVdX17D90+k00um0fT0SiVg3jPupTm1MaxSPCSBjAqoJqAaQMQBdA8wMuxgqG9fD5vew+5LoEuOBrgIATimWU1GaP8sOjWg0mrNZURQoSm50VqwGAUBXVxc6OztztnV0dOD3v/99Uac5KaLb398PXdfR2NiYs72xsRHvvvvusP3Xr1+Pu+++e/gD/WS8zrCcMK2LASDj2N6d/fXIxJ4RQRw7doxFrUUgyzKampoQ/km45OMGAgG0trbmbFu3bh3uuuuunG3FahAAhMPhgvuHw8Wdb1lkL6xZsybnE2ZwcBCzZ89Gd3d30f+x05VoNIrW1lYcOnSo6K990xV6zYonEomgra0NtbW1Rd/X4/Hg4MGDUFW15OObpglX3re4/Ch3spkU0a2rq4Moiujp6cnZ3tPTg6ampmH7F/p6AAChUIj+GIokGAzSa1Yk9JoVjyCUtkbv8Xjg8XjG+GyGU6wGAUBTU1NR+4/EpGQvyLKMxYsXY8eOHfY2wzCwY8cOtLe3T8YpEQQxjShFg9rb23P2B4Dt27cXr1nmJPH444+biqKYjz76qPn222+bN9xwg1ldXW2Gw+GT3jcSiZgAzEgkMgFnWhnQa1Y89JoVTzm9ZifToKuvvtq844477P3/+7//23S73eaPf/xj85133jHXrVtnSpJk7t27t6jjTpromqZp/uxnPzPb2tpMWZbN888/33zppZdGdb9UKmWuW7fOTKVS43yGlQO9ZsVDr1nxlNtrdiIN+tu//Vtz5cqVOfv/5je/Mc8880xTlmXz7LPPNp966qmijzlpeboEQRDTEWqyShAEMYGQ6BIEQUwgJLoEQRATCIkuQRDEBFKWokstIRnPP/88Lr30UrS0tMDlcg2rATdNE3feeSeam5vh9XqxdOlSvP/++zn7DAwM4KqrrkIwGER1dTWuu+46xGKxCXwWE8v69evx6U9/GlVVVWhoaMBll12Gffv25eyTSqWwatUqzJgxA4FAACtWrBiWFN/d3Y3ly5fD5/OhoaEBt912GzRNm8inMmFs3LgRCxcutItE2tvb8fTTT9u30+tVJKeUbzEJPP7446Ysy+bDDz9svvXWW+b1119vVldXmz09PZN9ahPO1q1bzX/+5382f/e735kAzC1btuTcfu+995qhUMj8/e9/b/7P//yP+b/+1/8y586dayaTSXufL3/5y+a5555rvvTSS+Zf/vIX8/TTTzevvPLKCX4mE0dHR4f5yCOPmG+++aa5Z88e85JLLjHb2trMWCxm73PjjTeara2t5o4dO8zXXnvNvOCCC8zPfOYz9u2appnnnHOOuXTpUvP11183t27datbV1Zlr1qyZjKc07vzXf/2X+dRTT5nvvfeeuW/fPvO73/2uKUmS+eabb5qmSa9XsZSd6J5//vnmqlWr7Ou6rpstLS3m+vXrJ/GsJp980TUMw2xqajJ/9KMf2dsGBwdNRVHM//t//69pmqb59ttvmwDMV1991d7n6aefNl0ul3n48OEJO/fJpLe31wRg7tq1yzRN9hpJkmQ+8cQT9j7vvPOOCcDs6uoyTZN92AmCkFPIs3HjRjMYDJrpdHpin8AkUVNTY/7iF7+g16sEyspe4O3Yli5dam87WTu26crBgwcRDodzXqtQKIQlS5bYr1VXVxeqq6tx3nnn2fssXboUgiDg5ZdfnvBzngx4m1DeoGX37t3IZDI5r9u8efPQ1taW87otWLAgp+NUR0cHotEo3nrrrQk8+4lH13U8/vjjiMfjaG9vp9erBMqiyxinlHZs0xXebu5ErejC4TAaGhpybne73aitrS26XV05YhgGbrnlFlx44YU455xzALDXRJZlVFdX5+yb/7oVel35bZXI3r170d7ejlQqhUAggC1btmD+/PnYs2cPvV5FUlaiSxBjyapVq/Dmm2/ihRdemOxTmfJ88pOfxJ49exCJRPDb3/4WK1euxK5duyb7tMqSsrIXSmnHNl3hr8eJXqumpqZh86A0TcPAwEDFv56rV6/Gk08+iT//+c+YNWuWvb2pqQmqqmJwcDBn//zXrdDrym+rRGRZxumnn47Fixdj/fr1OPfcc/Hggw/S61UCZSW61BJy9MydOxdNTU05r1U0GsXLL79sv1bt7e0YHBzE7t277X2ee+45GIaBJUuWTPg5TwSmaWL16tXYsmULnnvuOcydOzfn9sWLF0OSpJzXbd++feju7s553fbu3ZvzgbV9+3YEg0HMnz9/Yp7IJGMYBtLpNL1epTDZK3nFciotISuNoaEh8/XXXzdff/11E4B5//33m6+//rr50UcfmabJUsaqq6vNP/zhD+Ybb7xhfuUrXymYMvapT33KfPnll80XXnjBPOOMMyo6Zeymm24yQ6GQuXPnTvPo0aP2JZFI2PvceOONZltbm/ncc8+Zr732mtne3m62t7fbt/MUqGXLlpl79uwxt23bZtbX11dsCtQdd9xh7tq1yzx48KD5xhtvmHfccYfpcrnMP/3pT6Zp0utVLGUnuqZZekvISuPPf/4zH5CWc+Ht6AzDML/3ve+ZjY2NpqIo5kUXXWTu27cv5zGOHTtmXnnllWYgEDCDwaB57bXXmkNDQ5PwbCaGQq8XAPORRx6x90kmk+a3vvUts6amxvT5fOY//MM/mEePHs15nA8//NC8+OKLTa/Xa9bV1Zn/5//8HzOTyUzws5kYvvnNb5qzZ882ZVk26+vrzYsuusgWXNOk16tYqLUjQRDEBFJWni5BEES5Q6JLEAQxgZDoEgRBTCAkugRBEBMIiS5BEMQEQqJLEAQxgZDoEgRBTCAkugRBEBMIiS5BEMQEQqJLEAQxgZDoEgRBTCAkugRBEBPI/w/O4AJq1za7mgAAAABJRU5ErkJggg==", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Draw the image using a color map\n", "plt.figure(figsize=(4,4))\n", "gn.imgplot.drawImage2D(im_cont_onevar, cmap='ocean')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Writing / saving image\n", "The RGB colors in the written file are set via a color map." ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# output file \n", "out_file = f'{fbase}_onevar_new.{ext}' \n", "f = os.path.join(out_dir, out_file)\n", "gn.img.writeImage2Drgb(f, im_cont_onevar, cmap='ocean') \n", "\n", "# Read the image from the written file (keeping RGB(A) channels) and plot it (recombining the RGB(A) channels)\n", "im_cont_onevar_new = gn.img.readImage2Drgb(f) # keeping channels\n", "plt.figure(figsize=(4,4))\n", "gn.imgplot.drawImage2Drgb(im_cont_onevar_new)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Dealing with missing value" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Number of pixel with missing value: 9606\n" ] } ], "source": [ "nancol = im_cont.val[:,0,0,0] # color code of first pixel (in bottom left corner), in initial image\n", "\n", "# Read the image from the initial file, specifying a color to be interpreted as missing value\n", "im_cont_onevar_x = gn.img.readImage2Drgb(os.path.join(data_dir, f'{fbase}.{ext}'), \n", " nancol=nancol, keep_channels=False)\n", "\n", "print('Number of pixel with missing value: ', np.any(np.isnan(im_cont_onevar_x.val), axis=0).sum())" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Draw the image using a color map\n", "# Define a color map from \"ocean color map\" and specifying a color for missing value (nan)\n", "cmap = gn.customcolors.custom_cmap([plt.get_cmap('ocean')(x) for x in np.linspace(0,1,256)], ncol=256, \n", " cbad='yellow')\n", "\n", "plt.figure(figsize=(4,4))\n", "gn.imgplot.drawImage2D(im_cont_onevar_x, cmap=cmap)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Write image accounting for missing value\n", "out_file = f'{fbase}_onevar_x_new.{ext}' # output file \n", "f = os.path.join(out_dir, out_file)\n", "gn.img.writeImage2Drgb(f, im_cont_onevar_x, cmap=cmap, nancol='yellow') \n", "\n", "# Read the image from the written file (keeping RGB(A) channels) and plot it (recombining the RGB(A) channels)\n", "im_cont_onevar_x_new = gn.img.readImage2Drgb(f) # keeping channels\n", "plt.figure(figsize=(4,4))\n", "gn.imgplot.drawImage2Drgb(im_cont_onevar_x_new)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## II. Example with \"categorical\" image" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Reading / loading image\n", "If the image is considered as categorical (keyword argument `categ=True`), the function `geone.img.readImage2Drgb` returns an image (`geone.img.Img` class) with one variable taking values being indices (starting from $0$), where an index refers to the color of the pixel in a list of colors also retrieved in output. Each color in the list consists in a RGB or RGBA code (sequence of length 3 or 4 of values in $[0, 1]$) (keyword argument `keep_channels=True` (default)) or a float in $[0,1]$ resulting of a linear combination of the RGB code of the color (keyword argument `keep_channels=False`) using the weight given by the keyword argument `rgb_weight`. The output image `im` can be drawn (plotted) directly according to the output list of colors `col` by using:\n", "\n", "- `geone.imgplot.drawImage2D(im, categ=True, categCol=col)` if keyword argument `keep_channels` was `True`;\n", "- `geone.imgplot.drawImage2D(im, categ=True, categCol=[cmap(c) for c in col])`, where `cmap` is a color map function defined on the interval [0, 1], if keyword argument `keep_channels` was `False`." ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [], "source": [ "# Filename of the initial image, without extension\n", "fbase = 'imCat'\n", "\n", "# Extension\n", "ext = 'png'" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### II. 1 Categorical image - keeping RGB(A) channels" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Read file with `matplotlib.pyplot.imread` and show it with `matplotlib.pyplot.imshow`" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "data": { 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Read the image from the initial file using matplotlib.pyplot.imread and show it\n", "im = plt.imread(os.path.join(data_dir, f'{fbase}.{ext}'))\n", "plt.figure(figsize=(4,4))\n", "plt.imshow(im)\n", "plt.axis('off')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Read file using dedicated function of geone (`geone.img.readImage2Drgb`)" ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Geone image (gn.img.Img):\n", " *** Img object ***\n", "name = ''\n", "(nx, ny, nz) = (300, 400, 1) # number of cells along each axis\n", "(sx, sy, sz) = (1.0, 1.0, 1.0) # cell size (spacing) along each axis\n", "(ox, oy, oz) = (0.0, 0.0, 0.0) # origin (coordinates of bottom-lower-left corner)\n", "nv = 1 # number of variable(s)\n", "varname = [np.str_('code')]\n", "val: (1, 1, 400, 300)-array\n", "*****\n", "Values of the variable (index of colors): [0. 1. 2. 3. 4. 5.]\n", "List of colors (RGB(A) code):\n" ] }, { "data": { "text/plain": [ "[array([0., 0., 0.], dtype=float32),\n", " array([0.04313726, 0.8509804 , 0.9098039 ], dtype=float32),\n", " array([0.28235295, 0.9098039 , 0.04313726], dtype=float32),\n", " array([0.4862745 , 0.07843138, 0.85882354], dtype=float32),\n", " array([0.9137255 , 0.10980392, 0.91764706], dtype=float32),\n", " array([1., 1., 1.], dtype=float32)]" ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Read the image from the initial file and retrieve the geone image and the list of colors (RGBA code)\n", "im_cat, col = gn.img.readImage2Drgb(os.path.join(data_dir, f'{fbase}.{ext}'), categ=True)\n", "\n", "# Show info\n", "print('Geone image (gn.img.Img):\\n', im_cat)\n", "print('Values of the variable (index of colors):', np.unique(im_cat.val))\n", "print('List of colors (RGB(A) code):')\n", "col" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plot the image with gn.imgplot.drawImage2D\n", "plt.figure(figsize=(4,4))\n", "gn.imgplot.drawImage2D(im_cat, categ=True, categCol=col)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Writing / saving image" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Same geone images (im_cat and im_cat_new) ? True\n", "Same colors (col and col_new) ? True\n" ] } ], "source": [ "# output file\n", "out_file = f'{fbase}_new.{ext}'\n", "f = os.path.join(out_dir, out_file)\n", "gn.img.writeImage2Drgb(f, im_cat, col=col)\n", "\n", "# Read the image from the written file\n", "im_cat_new, col_new = gn.img.readImage2Drgb(f, categ=True)\n", "print('Same geone images (im_cat and im_cat_new) ?', gn.img.isImageEqual(im_cat, im_cat_new))\n", "print('Same colors (col and col_new) ?', np.all([c[0:3] == cb[0:3] for c, cb in zip(col, col_new)]))" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [], "source": [ "# Note: if the image read with matplotlib.pyplot.imread is saved with matplotlib.pyplot.imsave,\n", "# we get the same file as the file written just above\n", "\n", "# output file \n", "out_file = f'{fbase}_copy.{ext}'\n", "f = os.path.join(out_dir, out_file)\n", "plt.imsave(f, im)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Dealing with missing value" ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Geone image (gn.img.Img):\n", " *** Img object ***\n", "name = ''\n", "(nx, ny, nz) = (300, 400, 1) # number of cells along each axis\n", "(sx, sy, sz) = (1.0, 1.0, 1.0) # cell size (spacing) along each axis\n", "(ox, oy, oz) = (0.0, 0.0, 0.0) # origin (coordinates of bottom-lower-left corner)\n", "nv = 1 # number of variable(s)\n", "varname = [np.str_('code')]\n", "val: (1, 1, 400, 300)-array\n", "*****\n", "Values of the variable (index of colors): [ 0. 1. 2. 3. 4. nan]\n", "List of colors (RGB(A) code):\n" ] }, { "data": { "text/plain": [ "[array([0., 0., 0.]),\n", " array([0.04313726, 0.8509804 , 0.90980393]),\n", " array([0.48627451, 0.07843138, 0.85882354]),\n", " array([0.9137255 , 0.10980392, 0.91764706]),\n", " array([1., 1., 1.])]" ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" } ], "source": [ "nancol = col[2] # color code of the category \"2\" in initial image\n", "\n", "# Read the image from the initial file, specifying a color to be interpreted as missing value\n", "im_cat_x, col_x = gn.img.readImage2Drgb(os.path.join(data_dir, f'{fbase}.{ext}'), categ=True, nancol=nancol)\n", "\n", "# Show info\n", "print('Geone image (gn.img.Img):\\n', im_cat_x)\n", "print('Values of the variable (index of colors):', np.unique(im_cat_x.val))\n", "print('List of colors (RGB(A) code):')\n", "col_x" ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plot the image with gn.imgplot.drawImage2D (with missing value in yellow)\n", "plt.figure(figsize=(4,4))\n", "gn.imgplot.drawImage2D(im_cat_x, categ=True, categCol=col_x, categColbad='yellow')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Same geone images (im_cat_x_new and im_cat_x_new) ? True\n", "Same colors (col_x and col_x_new) ? True\n" ] } ], "source": [ "# Write image accounting for missing value\n", "out_file = f'{fbase}_x_new.{ext}' # output file\n", "f = os.path.join(out_dir, out_file)\n", "gn.img.writeImage2Drgb(f, im_cat_x, col=col_x, nancol='yellow')\n", "\n", "# Read the image from the written file\n", "im_cat_x_new, col_x_new = gn.img.readImage2Drgb(f, categ=True, nancol='yellow')\n", "print('Same geone images (im_cat_x_new and im_cat_x_new) ?', gn.img.isImageEqual(im_cat_x, im_cat_x_new))\n", "print('Same colors (col_x and col_x_new) ?', np.all([c[0:3] == cb[0:3] for c, cb in zip(col_x, col_x_new)]))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### II. 2 Categorical image - combining RGB channels" ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Same geone images (im_cat and im_cat_b) ? True\n", "List of colors (rate in [0,1]): [0. 0.61614118 0.62339609 0.28934118 0.44227059 1. ]\n" ] } ], "source": [ "# Read the image from the initial file and retrieve the geone image and the list of colors.\n", "# Each color is a number in [0,1], resulting of a linear combination of the RGB code of the color \n", "# in the original file; weight of RGB channels are set with keyword argument 'rgb_weight'\n", "im_cat_b, col_b = gn.img.readImage2Drgb(os.path.join(data_dir, f'{fbase}.{ext}'), \n", " categ=True, keep_channels=False)\n", "\n", "# Show info\n", "print('Same geone images (im_cat and im_cat_b) ?', gn.img.isImageEqual(im_cat, im_cat_b))\n", "print('List of colors (rate in [0,1]):', col_b)" ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[(np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(1.0)),\n", " (np.float64(0.615686274509804),\n", " np.float64(0.615686274509804),\n", " np.float64(0.615686274509804),\n", " np.float64(1.0)),\n", " (np.float64(0.6235294117647059),\n", " np.float64(0.6235294117647059),\n", " np.float64(0.6235294117647059),\n", " np.float64(1.0)),\n", " (np.float64(0.2901960784313725),\n", " np.float64(0.2901960784313725),\n", " np.float64(0.2901960784313725),\n", " np.float64(1.0)),\n", " (np.float64(0.44313725490196076),\n", " np.float64(0.44313725490196076),\n", " np.float64(0.44313725490196076),\n", " np.float64(1.0)),\n", " (np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0))]" ] }, "execution_count": 30, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Get RGB(A) colors via a color map\n", "cmap = plt.get_cmap('gray')\n", "col_b_rgb = [cmap(c) for c in col_b]\n", "col_b_rgb" ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plot the image with gn.imgplot.drawImage2D\n", "plt.figure(figsize=(4,4))\n", "gn.imgplot.drawImage2D(im_cat_b, categ=True, categCol=col_b_rgb)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Note that due to the linear combination of RGB channels, the output colors can be very close." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Writing / saving image\n", "The RGB colors in the written file can be first defined via a color map." ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Same geone images (im_cat_b and im_cat_b_new) ? False\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# output file\n", "out_file = f'{fbase}_b_new.{ext}'\n", "f = os.path.join(out_dir, out_file)\n", "gn.img.writeImage2Drgb(f, im_cat_b, col=col_b_rgb) # use RGB(A) colors defined in col_b_rgb\n", "\n", "# Read the image from the written file (keeping RGB(A) channels) and plot it (recombining the RGB(A) channels)\n", "im_cat_b_new, col_b_new = gn.img.readImage2Drgb(f, categ=True) # keeping channels\n", "print('Same geone images (im_cat_b and im_cat_b_new) ?', gn.img.isImageEqual(im_cat_b, im_cat_b_new))\n", "\n", "plt.figure(figsize=(4,4))\n", "gn.imgplot.drawImage2D(im_cat_b_new, categ=True, categCol=col_b_new)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Note that the colors are reordered (*i.e.* the variable values are reordered)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Dealing with missing value" ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Same geone images (im_cat_x and im_cat_b_x) ? True\n", "List of colors (rate in [0,1]): [0. 0.61614118 0.28934118 0.44227059 1. ]\n" ] } ], "source": [ "nancol = col[2] # color code of the category \"2\" in initial image\n", "\n", "# Read the image from the initial file, specifying a color to be interpreted as missing value\n", "im_cat_b_x, col_b_x = gn.img.readImage2Drgb(os.path.join(data_dir, f'{fbase}.{ext}'), \n", " categ=True, nancol=nancol, keep_channels=False)\n", "\n", "# Show info\n", "print('Same geone images (im_cat_x and im_cat_b_x) ?', gn.img.isImageEqual(im_cat_x, im_cat_b_x))\n", "print('List of colors (rate in [0,1]):', col_b_x)" ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[(np.float64(0.0), np.float64(0.0), np.float64(0.0), np.float64(1.0)),\n", " (np.float64(0.615686274509804),\n", " np.float64(0.615686274509804),\n", " np.float64(0.615686274509804),\n", " np.float64(1.0)),\n", " (np.float64(0.2901960784313725),\n", " np.float64(0.2901960784313725),\n", " np.float64(0.2901960784313725),\n", " np.float64(1.0)),\n", " (np.float64(0.44313725490196076),\n", " np.float64(0.44313725490196076),\n", " np.float64(0.44313725490196076),\n", " np.float64(1.0)),\n", " (np.float64(1.0), np.float64(1.0), np.float64(1.0), np.float64(1.0))]" ] }, "execution_count": 34, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Get RGB(A) colors via a color map\n", "cmap = plt.get_cmap('gray')\n", "col_b_x_rgb = [cmap(c) for c in col_b_x]\n", "col_b_x_rgb" ] }, { "cell_type": "code", "execution_count": 35, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plot the image with gn.imgplot.drawImage2D\n", "plt.figure(figsize=(4,4))\n", "gn.imgplot.drawImage2D(im_cat_b_x, categ=True, categCol=col_b_x_rgb, categColbad='yellow')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 36, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Same geone images (im_cat_b_x and im_cat_b_x_new) ? False\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Write image accounting for missing value\n", "out_file = f'{fbase}_b_x_new.{ext}' # output file\n", "f = os.path.join(out_dir, out_file)\n", "gn.img.writeImage2Drgb(f, im_cat_b_x, col=col_b_x_rgb, nancol='yellow') # use RGB(A) colors def. in col_b_x_rgb\n", "\n", "# Read the image from the written file (keeping RGB(A) channels) and plot it (recombining the RGB(A) channels)\n", "im_cat_b_x_new, col_b_x_new = gn.img.readImage2Drgb(f, categ=True, nancol='yellow') # keeping channels\n", "print('Same geone images (im_cat_b_x and im_cat_b_x_new) ?', gn.img.isImageEqual(im_cat_b_x, im_cat_b_x_new))\n", "\n", "plt.figure(figsize=(4,4))\n", "gn.imgplot.drawImage2D(im_cat_b_x_new, categ=True, categCol=col_b_x_new, categColbad='yellow')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Note that the colors are reordered (*i.e.* the variable values are reordered)." ] } ], "metadata": { "kernelspec": { "display_name": "py313", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.13.7" } }, "nbformat": 4, "nbformat_minor": 4 }