{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "scrolled": true }, "outputs": [], "source": [ "#Run the new window deformation" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "from openpiv import windef\n", "from openpiv import tools, process, scaling, validation, filters, preprocess\n", "import numpy as np\n", "import os\n", "from time import time\n", "import warnings\n", "\n", "\n", "import matplotlib.pyplot as plt\n", "%matplotlib inline " ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "settings = windef.Settings()\n", "\n", "\n", "'Data related settings'\n", "# Folder with the images to process\n", "settings.filepath_images = '../test1/'\n", "# Folder for the outputs\n", "settings.save_path = '../test1/'\n", "# Root name of the output Folder for Result Files\n", "settings.save_folder_suffix = 'Test_1'\n", "# Format and Image Sequence\n", "settings.frame_pattern_a = 'exp1_001_a.bmp'\n", "settings.frame_pattern_b = 'exp1_001_b.bmp'\n", "\n", "'Region of interest'\n", "# (50,300,50,300) #Region of interest: (xmin,xmax,ymin,ymax) or 'full' for full image\n", "settings.ROI = 'full'\n", "\n", "'Image preprocessing'\n", "# 'None' for no masking, 'edges' for edges masking, 'intensity' for intensity masking\n", "# WARNING: This part is under development so better not to use MASKS\n", "settings.dynamic_masking_method = 'None'\n", "settings.dynamic_masking_threshold = 0.005\n", "settings.dynamic_masking_filter_size = 7\n", "\n", "'Processing Parameters'\n", "settings.correlation_method='circular' # 'circular' or 'linear'\n", "settings.iterations = 2 # select the number of PIV passes\n", "# add the interroagtion window size for each pass. \n", "# For the moment, it should be a power of 2 \n", "settings.windowsizes = (64, 32, 16) # if longer than n iteration the rest is ignored\n", "# The overlap of the interroagtion window for each pass.\n", "settings.overlap = (32, 16, 8) # This is 50% overlap\n", "# Has to be a value with base two. In general window size/2 is a good choice.\n", "# methode used for subpixel interpolation: 'gaussian','centroid','parabolic'\n", "settings.subpixel_method = 'gaussian'\n", "# order of the image interpolation for the window deformation\n", "settings.interpolation_order = 3\n", "settings.scaling_factor = 1 # scaling factor pixel/meter\n", "settings.dt = 1 # time between to frames (in seconds)\n", "'Signal to noise ratio options (only for the last pass)'\n", "# It is possible to decide if the S/N should be computed (for the last pass) or not\n", "settings.extract_sig2noise = True # 'True' or 'False' (only for the last pass)\n", "# method used to calculate the signal to noise ratio 'peak2peak' or 'peak2mean'\n", "settings.sig2noise_method = 'peak2peak'\n", "# select the width of the masked to masked out pixels next to the main peak\n", "settings.sig2noise_mask = 2\n", "# If extract_sig2noise==False the values in the signal to noise ratio\n", "# output column are set to NaN\n", "'vector validation options'\n", "# choose if you want to do validation of the first pass: True or False\n", "settings.validation_first_pass = True\n", "# only effecting the first pass of the interrogation the following passes\n", "# in the multipass will be validated\n", "'Validation Parameters'\n", "# The validation is done at each iteration based on three filters.\n", "# The first filter is based on the min/max ranges. Observe that these values are defined in\n", "# terms of minimum and maximum displacement in pixel/frames.\n", "settings.MinMax_U_disp = (-30, 30)\n", "settings.MinMax_V_disp = (-30, 30)\n", "# The second filter is based on the global STD threshold\n", "settings.std_threshold = 7 # threshold of the std validation\n", "# The third filter is the median test (not normalized at the moment)\n", "settings.median_threshold = 3 # threshold of the median validation\n", "# On the last iteration, an additional validation can be done based on the S/N.\n", "settings.median_size=1 #defines the size of the local median\n", "'Validation based on the signal to noise ratio'\n", "# Note: only available when extract_sig2noise==True and only for the last\n", "# pass of the interrogation\n", "# Enable the signal to noise ratio validation. Options: True or False\n", "settings.do_sig2noise_validation = False # This is time consuming\n", "# minmum signal to noise ratio that is need for a valid vector\n", "settings.sig2noise_threshold = 1.2\n", "'Outlier replacement or Smoothing options'\n", "# Replacment options for vectors which are masked as invalid by the validation\n", "settings.replace_vectors = True # Enable the replacment. Chosse: True or False\n", "settings.smoothn=True #Enables smoothing of the displacemenet field\n", "settings.smoothn_p=0.5 # This is a smoothing parameter\n", "# select a method to replace the outliers: 'localmean', 'disk', 'distance'\n", "settings.filter_method = 'localmean'\n", "# maximum iterations performed to replace the outliers\n", "settings.max_filter_iteration = 4\n", "settings.filter_kernel_size = 2 # kernel size for the localmean method\n", "'Output options'\n", "# Select if you want to save the plotted vectorfield: True or False\n", "settings.save_plot = False\n", "# Choose wether you want to see the vectorfield or not :True or False\n", "settings.show_plot = True\n", "settings.scale_plot = 200 # select a value to scale the quiver plot of the vectorfield\n", "# run the script with the given settings" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['RectBivariateSpline',\n", " 'Settings',\n", " '__builtins__',\n", " '__cached__',\n", " '__doc__',\n", " '__file__',\n", " '__loader__',\n", " '__name__',\n", " '__package__',\n", " '__spec__',\n", " 'correlation_func',\n", " 'display_vector_field',\n", " 'fftshift',\n", " 'filters',\n", " 'find_subpixel_peak_position',\n", " 'first_pass',\n", " 'frame_interpolation',\n", " 'get_coordinates',\n", " 'irfft2',\n", " 'multipass_img_deform',\n", " 'np',\n", " 'os',\n", " 'piv',\n", " 'plt',\n", " 'preprocess',\n", " 'process',\n", " 'pyprocess',\n", " 'rfft2',\n", " 'save',\n", " 'scaling',\n", " 'scn',\n", " 'sig2noise_ratio_function',\n", " 'smoothn',\n", " 'tools',\n", " 'validation']" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dir(windef)" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Image Pair 1\n" ] } ], "source": [ "windef.piv(settings)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "#Run the extended search area PIV" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" }, { "data": { "text/plain": [ "" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "\n", "\n", "# we can run it from any folder\n", "path = settings.filepath_images\n", "\n", "\n", "frame_a = tools.imread( os.path.join(path,settings.frame_pattern_a))\n", "frame_b = tools.imread( os.path.join(path,settings.frame_pattern_b))\n", "\n", "frame_a = (frame_a).astype(np.int32)\n", "frame_b = (frame_b).astype(np.int32)\n", "\n", "u, v, sig2noise = process.extended_search_area_piv( frame_a, frame_b, \\\n", " window_size=32, overlap=16, dt=1, search_area_size=64, sig2noise_method='peak2peak' )\n", "x, y = process.get_coordinates( image_size=frame_a.shape, window_size=32, overlap=16 )\n", "u, v, mask = validation.sig2noise_val( u, v, sig2noise, threshold = 1.3 )\n", "u, v, mask = validation.global_val( u, v, (-1000, 2000), (-1000, 1000) )\n", "u, v = filters.replace_outliers( u, v, method='localmean', max_iter=10, kernel_size=2)\n", "x, y, u, v = scaling.uniform(x, y, u, v, scaling_factor = 1)\n", "tools.save(x, y, u, v, mask, 'test1.vec' )\n", "tools.display_vector_field('test1.vec', scale=75, width=0.0035)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "#Run the widim" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "lines_to_next_cell": 2, "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "----------------------------------------------------------\n", "|-----> || The Open Source P article |\n", "| Open || I mage |\n", "| PIV || V elocimetry Toolbox |\n", "| <-----|| www.openpiv.net version 1.0 |\n", "----------------------------------------------------------\n", " \n", "('Algorithm : ', 'WiDIM')\n", " \n", "Parameters \n", "-----------------------------------\n", "(' ', 'Size of image', ' | ', [369, 511])\n", "(' ', 'total number of iterations', ' | ', 3)\n", "(' ', 'overlap ratio', ' | ', 0.0)\n", "(' ', 'coarse factor', ' | ', 2)\n", "(' ', 'time step', ' | ', 1.0)\n", "(' ', 'validation method', ' | ', 'mean_velocity')\n", "(' ', 'number of validation iterations', ' | ', 1)\n", "(' ', 'subpixel_method', ' | ', 'gaussian')\n", "(' ', 'Nrow', ' | ', array([ 5, 11, 23], dtype=int32))\n", "(' ', 'Ncol', ' | ', array([ 7, 15, 31], dtype=int32))\n", "(' ', 'Window sizes', ' | ', array([64, 32, 16], dtype=int32))\n", "-----------------------------------\n", "| STARTING |\n", "-----------------------------------\n", "('ITERATION # ', 0)\n", "..[DONE]\n", "(' --residual : ', 1.0000000344701572)\n", "no validation : trusting 1st iteration\n", "going to next iteration.. \n", "performing interpolation of the displacement field\n", " \n", "('..[DONE] -----> going to iteration ', 1)\n", " \n", "('ITERATION # ', 1)\n", "..[DONE]\n", "(' --residual : ', 0.08178167496214502)\n", "Starting validation..\n", "('Validation, iteration number ', 0)\n", " \n", "..[DONE]\n", " \n", "going to next iteration.. \n", "performing interpolation of the displacement field\n", " \n", "('..[DONE] -----> going to iteration ', 2)\n", " \n", "('ITERATION # ', 2)\n", "..[DONE]\n", "(' --residual : ', 0.12538231899438257)\n", "Starting validation..\n", "('Validation, iteration number ', 0)\n", " \n", "..[DONE]\n", " \n", "//////////////////////////////////////////////////////////////////\n", "end of iterative process.. Re-arranging vector fields..\n", "...[DONE]\n", "-------------------------------------------------------------\n", "('[DONE] ..after ', -53.69246315956116, 'seconds ')\n", "-------------------------------------------------------------\n" ] }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXkAAAD4CAYAAAAJmJb0AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+j8jraAAAgAElEQVR4nOy9eZjV1Znv+11711xAFQVFUcwUk4IgKqLgPEbjbIxDjFHbtEnU1sTMnTanvd3pJOfcc/s+5zz35nnSp/sm6T6d7qgoDoAMzhpFQAaZi3kuqIGah733un+sXQkxstfnR/02u3a5v89TEYo3v3H93vWud32/72ustcohhxxyyGFgIpLpC8ghhxxyyCF9yDn5HHLIIYcBjJyTzyGHHHIYwMg5+RxyyCGHAYyck88hhxxyGMDIy/QFSNLw4cPthAkTMn0ZOeSQQw5ZhdWrVx+z1lamsukXTn7ChAlatWpVpi8jhxxyyCGrYIzZ47PJpWtyyCGHHAYwck4+hxxyyGEAI+fkc8ghhxwGMHJOPocccshhACPn5HPIIYccBjDS5uSNMdcZY7YaY2qNMT9I13lyyCGHHHI4OdLi5I0xUUn/j6TrJU2XdI8xZno6zpVDDjnkkMPJka5Ifq6kWmvtTmttt6T/kHRLms6VQw455JDDSZAuJz9a0r4T/r4/+bs/wBjzsDFmlTFm1dGjR0/9TK+9FqaZXn+dn5aU4t+yRTpwwG/X0SH9/vfs3EGuMRN2q1dLTU1+u337pO3b2THDvucVKzJz3pUrpdZWv93Bg27sEPT38UCv76OPpMZGv92uXdLOneyYYV9jpp51X5CxjVdr7S+ttXOstXMqK1OqclMDThDHjrHDUbujRyVj/HZ79kilpX675mapq4ufO0y7IPdMUFAgHTrkt+vokNrawj13Jp8NmfQbG6V43G/X2Sm1tLBzh/3+wv5WqF1bm9Te7rfbtk2qqAj33Jmy60t8S5EuJ39A0tgT/j4m+bt+j7AbZTU1SWVlfruWFmnw4HDPHTbIpCZJ1dXMyWcSFRVSfX14xystZQ6Kgj7rgYSCAqmnx2/X1CSVl6f/ek4HTsd7TpeT/1DSFGPMRGNMgaS7Jb0Y+lnicSkaDf2wYYO8yHQ4+Uw5irAdaBCUlrJ0yHnnSWvWhHfesjK3GgsTYQccmRoP9D4KCqTubr9dJifAbOyWmhYnb62NSXpM0quSNkv6nbV2Y+gnamyUhg4N/bA+WBv+QGtpkYYM8dslEv0/yotE0vMxJBJ+mxkzpI1gpA0bJjU09P2aejFkiHT8eHjHMyY7HcrJQO4lP585+YGC0/Utpy0nb61dZK2daq2dZK39SVpOUl/vvtbTjIMHpVGjwj0mjeS7u6XCQr9dNkwGQTBmDNvAHj9e2r077ZfzZwg7kh9I7y4vj+1D0HRNJie/MN/LgQPh+5FPQ3YrXuvrpeHDkWmYA2PbNmnq1PCOJ7l8bkmJ366zkzn51lZp0KC+X1d/wdSp7rn7EAl5RFvLxk5bG1tBBD13fwa9vrw8KRbz233WIvkdO6RJk9J/nux28ocOoXRNfX24OeK6OqkvhKCTgUQJXV1SUZHfrrmZpX+yBcOGccYCdT5Dh/pTNi+9xNJE1dVsUt29m600+nu6pqfHBRwEsRhjCpFIvr1dKi5m521rc3ReH3btcj8+xGLhBhGHDklVVeEd72TIbie/di3y3vF4uC/no4/Yh09setHTw5a0R4+yJW2QjdzmZv+1WuvuO0xs28Z58hJnr6xezdg948ZJL7+c2uYf/oHt7VdUSF/4gt9u6lR3Xh/Sla7xRdQ9PdKGDf7jWCt98AE757Fj0v79fru6OhfdpsKrrzrqLUFpqTR7tt9uxAhp1iy/3bp10uHD7Nz19X7O/2uvcQpxX5DdTv6xx5CXGDFCemDCG167REL613/1n3bCBCn65mtez3jggLRqWaMjy3vwzptxdb72ntfu2DGp84N1XruNG6XG5SCMkfTCC36nYoybOFB0uWoV8sg1NWxVYq20fLn09tt+2+XLpS99yb/SWr7cOVufw6CT0IoVLJC4vOh9DS0AX/ahQ7K7/eNGYk5ZckKedZ6hk5/PhGwFBdLVV7PzVlVJZ5/tt6s+uFrDS1O/kDlzpJvnHJQ2b/Yf0FrdXelXvZWWuvv2YcIEaX7eSr+hpI8/9gdOTz3FBZB9QXY7+aoqnIcpaq7z2kQi0nRQYecv/1LO23q+6jFjpMdu2IXCsv/y7VaVJvxr2nnzpGsm1nrthg2TJpcc9NpJ0m23scjx5pvh487P1/4tLVq/PrXZmWey6NwYl1b5+c/9tvX10jnnuDywz66kRHroIb8dAU0lmYZ6NFPW7evU4UN+O2u5avLcc5mznT+fHY/k2SWXZycTYFX3Pl1/Y+pl09ixUnFHA1smd3TIdLKwnzCthg2TzqlgE++8eX5OyLhxfNz0Bdnt5NOAOXP8NpSab4w0vqwJ7ahWlbEd1cJCqTDfP8Avv1waXcEGOE3rnHEGjGyrqvS5M/aqujq1WZC8szF8H4Qcc9AgtzLxTQahI5FAA6g0v0clpf6Z1xjpjjvYqYcMYfcbtvQE7y10dytSCEJqyioIsDGFrxEaFhT4bTo6GImir8g5+XSD0ma6uvgbBwMtHTndMWNYblWVlZoxeC9yyvQ66Uc4ebI/rytJM2fKu9IIcl78vBMJFNZOG9Omqy5hVJOwaXjp2PDFxyQPsq2N1woBTj4Wy8BkL5equeii9J8n5+TTjY4OlnimBPgMIhKBm8nRKNtFVvgO5ayzWI567FhXIO20A7IATKxH+cXhep50TPxU5ERTOwhBnDyoKZIpJtqRIzl2TXjo7mY7K0EQJAQlCUkayfdnXt0poKiIsSUKClgBt8JCLo3PiOAIpmsUi4U+ZgcPDlewRZ916Pz3zs5QecTHj7P6UtmK7Hby1rLQMoBoKmOgTj4eD31tGcTZYVs4GU2bxkRO48dLe/fCc4eISMS/KOnq4rQ+LEXu6Qn9PY8ezdJt0SiLvAcNYnWCqJI19IHY3Iw2nLCTD5GLfTorsmS/k/cRnSW3Lgq7/EHYETV18j094a9KAqC1ldX8ppg8War1k4U0cSITrEju+ydzvzF+B97c7K9dHoux/L4kp4QieaKAkTwZjrQ0BC3RQJ18fj508mHjyBG0hNi7F84vIVYRfPtt6eKLQzmUF9nt5CMR6Wc/89v9/vfhSl6DyP0oqJPv7mZb92lCfj5zFOrowGt0slFaUCBt2oQOp2nTmO2UKf4JprLSH1CXlko/+hG7Nk2bxmhCH3/MHoy4UyYK397jkWJrgwYxMQ9O17zyCtvLee01dsPHjqHZ/sgR6ORXrYKD34/nnjt9sVp2O3mJtc+5+Wa8nl6+HJha694SCRcXLZK2bvXb7dnD2hXt3asVb4JlfGen9Nvf+u0kLVzIOu0sXy7ddZdzjqmwYYN0+O3t3vCyudmpU33RoLUu8iHf9bJlTvb+7LOp7ZYvd5oIXwReWOhWET7QssVvD71ZnQbo8mfNYqwsa1W6eRWjti5fjtIw0VUfoMXGoVfWoPt++WW2Gb766u+rsRnsV9xzD3O2jz/uWnGBw03evdx/vPPO0/LBt3nNrJV+9avUNk895cbWcnDaviL7nTwJTUaPZjI+OUfiDagLCqSbbmL5uTPOYFN2dzfeWWywIJlXVOT3xknMmuVy3j5EIi7C8z2fceOkj679vtdwyBA3t/3wh6mPZ4x7L9/9rv8aGxpc6QCfyKmx0T1un5CIlg+mC8VDhw0jUY0YwQ7Y2am8WCervXK0kTmV5mbkQ88fsQeJqyZOlC64wG/XPv5MFouVl/P8PcgTDRokloMcOhR9e8Y4QV4qTJ7s/htmueuTIfudfMi48Ua4t0I5VxdfzNIrt93G+FRTpjDZouQ6YwBcfLErn0xOTTZJy8qkZnFOGi04Re0kR5FMBWvdK3zqKX7MsID8E6XUtrfrgnO6dd11ftP8PKufgKLf505s1I03+u3KSno0c6bfrrKSpbJx7p42X8hgCyn6iZ4O5Jz8JxB6urunh32seXlsdjEmmOQW4IwzWNZr9OjQUpJpQ1Ba5Omo531KoHsv7e0ypSV4P5DcrzHhdikrLmbZUsynpxugtPdmGphM/QmfDScfgAkTOg09CDUyQ60MKyrYajVIxydqV14eLlsnUwidcx/AydPcfegXCV9ySQlz8nl5MJJvbWViKBrJB1BDlZSE28v3dOCz4eRbWzPXJZt+rFQkkyWgzvvcc9mmJaVFDhh0dYXr5KmAKA0oLmaOEadrqMCQOvkAaqiqKsfGCQOnawGR3U4+kWCUq3R1+SCgTj5LmpJTnHOOK/fvQ2Ulq8Q3ciSr5U0dChX8hI0gxbrQCrCtjTn5jo5gmxoEcGUQerqGrkjoPQdw8iNGhOfkDxxw2oV0o09O3hiz2xizwRiz1hizKvm7CmPMMmPM9uR/06vrWrTIb7NpE3KgaakYQKOOLHLy5DlVVbm5NSyMH4/K8uPzUi54PO6PI7q7pcWL/ceylt2DJNcdhmgxWluZI0uHk4egKQ6crmloYMT7bdsYq66uDj+bMCP5vXtZA5m+IoxI/gpr7WxrbW+R3h9IWmGtnSJpRfLv6UEkwoqMHz/uEs8e7NjBGzBo+XLm7Q4dYnmL5mb0UcdiAXRYsRgOVzs6mGpzxAjeKLu7O7wUy6hRbNOXfoTl5ez7X7HC708KCqRvfct/LGMwk9eNWUKpXbeO1XtYs4bZbdrE6kkfPSq9+67fTs55kwkVp2u2bmUB0ciRLELfsgVzZYuK2GtZtsxvd+QIZ8r2BelI19wi6dfJP/9a0q1pOMcfsPRjQBf44he1bJufCD5pEm/Q/frEv1BPzL9srK0bop0HQS700CHpnXe8ZtZK7/4nqfcrLft31itw6VLp/PP9YqOlS935fZe5ebPzJ8uWpV5ZNzdL773n5qGUrQWtVecrK/T++6nPK7mI+s03/XYff8y+66evegsFebQt3I+uep/VArj6amb3pS9p2RHQu27uXC3Lu95vN3Wqllbe67errGQ98yTVvfQBot7uWPixPl7tj2COfONvte5j4OT/4i+0bAVwcffeq2UHZ/jt5ES5RJMwc6Y/22atFFmxDJ23L+irk7eSlhpjVhtjHk7+rspa29th87CkTyV/G2MeNsasMsasOnr06CmdPB6HkVFhIRIdGMP3po6feSEK5Ntv/ZK6o8BLzJ//R4VECuTnS393K2vr13jz/WgZ2t7uWvH5OgJFo27wXu/xFZMmSR9+KP23/5bayQ8Z4iaD+fM9KRZjNKjzGOpYNHSodMMNfrv6etZBblSUrc0pQ6i0p4ktb2ixl7Fj1dgEctRVVWq0YBMyL09N5RPYuSGZYU7lHtT/dl7FVl13o184GCsZghqDKxJhYqPhw/H7a2tj24AjR/pt3nlHStSnn1rWVyd/sbX2XEnXS3rUGHPpif9orbVyE8GfwVr7S2vtHGvtnMpT3BTds4dJzoMg7Lx8Iq+AiasKC3Exi8ohYL0oYSHIzJkuTeW7zt6GHL6Cnr1VB2mt7IkTpWuu8dvd5leUyxhpBgjKBg8Ot7l76Ghvz1gOPWzQrl4F0bjG1/gj9Gg0fKYV3cs1Rvr2t8M55/z5p2cM9ukU1toDyf/WSXpe0lxJR4wx1ZKU/G+I229/ik2bXJ9QgozUDhduBJSmer8MNTWsds2YMelptEH3psO87fJy6YtfDO94oaOjg7FmlLmxnSng5jUKv/OYFF5vn7vuCuc4PpyykzfGlBpjBvf+WdK1kj6W9KKk+5Nm90ta2NeLPBna2lirx0wCO3kp9K+VNtqgpw0SQdHa5RMn8o1cH4KuwsLiKKelNniASD5sgVp/RxAnnymQZ326Jue+RPJVkt4xxqyTtFLSK9baJZJ+JukaY8x2SVcn/z4gQV5kICcf8tc6cmR4dK9e0IE5dy4qAKjZsz2brgHQ08MkCWE7u+3bcS04jgxSHqPRDNV/h4OLNHLJ4Y845VjGWrtT0p+V4bHW1ku6qi8XRRCLpScyCZKbIwjk5ENGdbUj7RAubm/UTxgBBIWFjurpu3/aQo6AijrDbqe7Zw+uBceRhoFDx2xFhSM0nHb9IBxc6cjJD2T0562nlDhyhNfwbmnh7IfQN14zmK6hKlHpj5uvYWLRopCfp+dgXV3Mybe0hJvmW7GCpcUkudwUyU/V1iIpcDweftRdURFiCdxEgg+CxkZkS9M1iYRjeYWFdLSKPh3IWidfXc0EKJJ72bTe99Gj4TYd3rED9iY9coTV8ZXcyAXr1e5u3FxINTXMtriY5dol6Sc/YZqV3qg/JYYO9fJlaSS/Zg2f/PTCC16P8sADeI/UCTF8dZAlt8sNE/2k14zkhhfp5ISc/L59ruOLD11d0quvouvTunUo0Nmzh7WMjES47uWll/yfVJDgAMdrBw6E27XuU5C1Tj4ScY6eDKCyMunx6awFyxtvsA25NWtYXjAWYwXuugcP0+ud8/yGkpbGr0Le8+23WZS3eLG7l1deSW331lvO3/m+7W3bXJ7a14jk4EG3ejjjjNSOqqdHeu3Dwd6w7KOPnE/2Yfp06TIBxZSkpVf/V+9S7MILuR/7oOQKNYFKH4euvk/rNwI6oUnop9e/hc495MBmNBm1L33HX3dozBgniPChuFi68kp0fbrxRjQLlZbyiJrWhrn0Uv8ntXq1tGQJOx6p2yTJ0drSvPeStU7+D4By5EHdbP1JGz7V1rLAu7SU8bYTkTw1n3eF31BS09xrkV1Li/TNb/rt8vPdSvmv/zq13bnnuv9edllqu8mTXTtMH0pLnaMfPtwpUE+GtjapZ2yNN0yfP59tgI4ZI40pYMzeptLRyI52kOqJGRRNR/MjLMBrbVXVYFb79pFLP0YR5uj8On/fe2NwUS+8AdLWhhxeWZlbeRIg0ZTYrcyd6wISHz7+mDed17x5AZaBp4bsd/IhgypeL7qId38hH5a1konANV6ADTkS8cyf73qd+wbwoEGO2efTWNG680OGuNIGlZXSY4+d3K6tTSqtqZIuuSTl8YYPD1BRGuaJw6a50YqMtAY7bqAhKS/K7nlQUUx33AEMw344cAOruDhA/SYIcivl5WwymDaNtTuUdFpqDeec/Cli2DDuvAnS0dNh7FhW1CtII4QhQ1gpicpKt7+RCsb88fmk6gHR1pb89wGg+qFOnpZMDuLkgyBUYg/9COD7LSriTj4TGoL8/P7VcSzn5PsJ0uHkp01jbf2C4Kqr/M2vJZfjfIulir34g5PPAMJmW1Enj2mCzc2Za4iTIWRyrs9G4VnOyZ8CaOvIjg6e/kmHkx82jFPhaDMEulQuLAxPbUubH2UDqJOXoKOgTa2ljLX/yySCRP0+ZGsr2Ox28olERqR5O3aggpHautVF0wTpcPJBMG+ey8sTDB3KWF8k5UD8RCYjeQrK3Q7i5BHSlK7JCAJ8ANR03DhIYQY4fpzV/Otvc192O3nJFS33IZEQKkYOsWePnx4oucmAsMykYE4ed9AJALzRJ8eIIymbyy+XXn65T5clKTucfG1taoZQLxobmR6hrQ1qHA4cYC8uHs+M9DoWY1zjRCL8GhxyWhFKb/WBtowNUFvutCC7nXwkIv0MlMaJRDgVBqCtjS3b2tv58u74cX/Tjl5EIlw3tX17uG34JJeK2bXLT2kuLPTn5d97zy8+ozVpGhqgUKu9HTVokdzzI5Hgrbc6/r0PQ4cyjVNJCWQednYy5711KyshWl/PBtfWrczu6FFGGo9EWCnUJGi0fP75LtjwYdcuR+dNBerkGxtRIzqHAwdYk+M+ILudvIRVB0sq70N2r73mTzG8/rrr/ufLOS9f7r4Dos5raWEFvSTX7IKkSxYvdqWYfVHwK6+4j6az0zndk+FE+f7w4Se/hnXr3NgtKZH+7u9Ofrz9+6UJE/wOfONG6Xe/S20juVQIedYqKcHF7s9JrEamZ+xegib0srVv6q6b/LQZs3uXHr8W7Jo/8ohefQ+ka8aOZRE17Ys4aZKWDP+y36662lWhI7j2WkQp6tq+V4v+HdQpsVaRpUs0c6bfdGLzWq8Df/996chCf0agoYGt6iS52SXHk/cAhr/NrexWGxv9EdRPf+qcna996s9/7qJUklo580y+2JgwgfFwm5ul22/3O/nqaheY3Xyz/xp78/YPPphUHH8Kamr+WFkyVdRaUMDuedo0FskXFzv9AgLUu18/bSeLqKka6uhRRUvAAZualF8IxmxxMfsEBg9m5RSiUWnOHL9dXp6ah8GOPbRBfUsLEkMVtjXox38FJqKuLlxU6I6Z27y+9sorpfNH+ldDq1YFWD3nxFCnHzfd5B+TVVUuDeMLjEaOdKlGkmsP0nowEmFL+bIyFpSdc45zysOGpW4BOGqUq2rZe70nE1oNHszakw4ezBSJN9zAn03Y7Ae8FxikLClxegE2IkLf6MtkyyzyHJubVTMDlAII8AzJLU+fzgRlU6eyPTtJfALsA3JO/hMgEaPknIkvkpfSw5qhxzvnHJbNOlGUFNa5CSi9LRbjtUoGgF7KIRt2m8MGHYTNzYw2Sp9hyLPkRRfxoOR0IOfkTxHRaPhOno61QYNYBFxVxQkLtLwsPTcBfS4ZLfGaKT5cAHHAgJnYKGjXLOrkOzvZ8fobNxIi5+Q/gWiU7U+RdI2Unki+poYXQKLnvuwy6U1QmHH+fOndd/12pKwBBWXXSHzy7fcfbICb7u+3khaQgU2dPK0h3N6elaur7HbyiUSAbg0MtC9qkHRN2CnOCRMCVLmDoErWigrWgKU3zx8Genp4JJ+Oloc5ZCmok29tZYKyhoY0NPNNP7LbyRvDVDly74c0A6Ht6KiTpxuvQVBUxOe2khLWKEJygQqhUkv+Z0QnA4IgTn7UKD/fWRJ7KYkEFySsWMFC6qVL2ct79920N5M4LaDLjHicd3LZtIlFJJRrvGcPo8A1NAQgwPcfeJ28MeZfjDF1xpiPT/hdhTFmmTFme/K/Q5O/N8aY/2GMqTXGrDfGnJvOi5cxTAwlx58mG9kFBWz8NDWxMRkkXXP4MDu3tY7ySHDGGa55CMGsWY7j7sPRo/4o3drwRMZB0jUtLU7HkBL797NlRiTCl2E338xe9COPMGrUQw/JX9TdTcxoLOzcyUQEDQ1ombhlC+tiiKXA0SivP1BRwXY2x4xhDY6bm9k7Wb2a0dUUIIW2dm14dRdOAjKCfyXpuk/87geSVlhrp0hakfy7JF0vaUry52FJvwjnMlMANnr98bxlyMnvXLhB69f77TZsYA75gw+YrNpaZ0si1kWLmD9ZtMilGn2PqLcj1PnnOz3KybBkiQtuv/711OUaVq50AZRPhLJvHxvf69ZJ//mffjtJOmvf4pT3IEkaPRqLoZbM/A47MZwMljeci1aKtSWz0CKiuFgqO7DJbzhmjBbn3eS3GzxYi/f71UNjx8LV1eTJWlLzCDCUK3FKlp033OAUcj58/vNM2XzttVp8+By/XU0Nqt3d08MDq8WjHmL6hT7AOzKttW9J+iTv4hZJv07++deSbj3h97+xDu9LKjfGnEQyExIg1WNInOUObjprJxLUzJjBOj5dcglLCxojXX89W200N0vf/a7frqXF5agffTS1XSTyxwAlVcRcWenqqRQUOMXryTB0qHPeDz6Y+rx5ee4b9EU9V14pTYS6m0hbi19gaczJlVyfQHNHgCUEQH09W5UcPszHzSOXAYdXUKCWCUD6mZ+vlos+GdP9OUpLYc10Y9RSOhIYyuXGCculqYlF3m1tLKQuLlZLK4iaLr8cVaHLy+MVGlpGTEo7PepUc/JV1tqkLEaHJfWGRaMlnZjV3Z/83Z/BGPOwMWaVMWbV0bBoGCGgckg3+rgGDWK5+9mzeaqBdkkbMoStIqZOdSllX1nkuXNZSYUZM1gANWaMy4j4xm5pqVO8+uxGjeLPZqCgvh5layTxjk8YcFUSum+iLIXjx1mtb8qnDxnGSHfeedpPe1L0eePVWmslBR5l1tpfWmvnWGvnVFZW9vUyTjtCLxkbAL3t+nyYOVMo9TRsGNufohu+lKlTUuL2AUJFP+cTUsfY1dW/BDX9CtTJQ7tYLHzh6UCoQnmkNw2T/G9vpYYDkk5MMI1J/i57AJ1EJp380KFs/4dy+aXMCGr6+/Vl8rz9fK6SlMEuSXQnvrkZOfkgfVeyEafq5F+UdH/yz/dLWnjC77+SZNlcKOn4CWmdAYUg9dezQZFoDHe4mYI3HQobQeeQGtkwXhGOH0feO0NZndMGQqH8raTfS5pmjNlvjHlI0s8kXWOM2S7p6uTfJWmRpJ2SaiX9kyS4rX6KSCTCb9sOgRstB0BREZ84aHmBykpWEW/GDEc/9qG8PDz+exBUVYH76O7mGyAQYUah8XhGGpkFRibqGKUFsP8tdvJdXRmsr3HqIOyae6y11dbafGvtGGvtP1tr6621V1lrp1hrr7bWNiRtrbX2UWvtJGvtTGvtqrRevTFMiy+5FkVk9O7bh2hc6UjXjBrFd+XnzWPlBS64gG2qTp/OnPysWbiEf6gYN85pVlKiqytzO7TvvotmP6LdsxY28ZYcD33zZmgcHvD1BTkglSqvWcOUiNu2oYJMtbWMRJGOkJ9q6PqC7F7bGuOKuxN885ss9IA7Xnv2YIq+YjHmvDs7eZ/VwkLpuef8dkVFjKefSLBWfZGI9OKLfru9e11XJR/oAB8zBlCUaSS/f78TOgB88AEUnt53n1fyHo1K//AP6LR/0C54UVPj6mN7kEgwLVRtLeuuRSsBYEQivFbHpEmspvS4cagMQWcn9N0rVyKevLXSwoVeM0lcQ9cXZLeTl7Ro1QhmeIhtDSya/h201d7UhL4t7dvnAgCfOtZad0xf4w7pjyKnH/7Qb5eXJ116aWq7V15xdj/4gd9uxAjp8cdT2735pqtd49vz2rULrlwSCfW8/Kpf2blhg155CYSYo0Zp0ZC7wYmdzoBQGV85AhptyKlTfWk2Y6QnnmDq41gioleP+oXlkYgU3+SXxg4fztKQGzf6Wzv24re/ZZP5W9f8HUpB7rryIbTqtF+6V4uW+ieD22+Hi6F589BK0RjevOZ0pP3Cd3YAACAASURBVLyy3smT5hSScAGXjngBWgmmEgOdiKFDncDyvPNS2xnjLnEEmLN6b6WmJrVd77O5447Udh0dbrXhE3eVlLiSBj5hUiLh0jrkXmCrVRXHWvxB+qxZap1wlv9gkYhaxwMlm1wxOAJaH4jqc0aOZM62uZnT/757nX/1Ul4uTZ7sP1ZhIWMxSu5eiDOr7yxFtNG6YxFEUWxtZ+6tsBC+vwB1a6jGAfuvPiDrnXzYoDXYx41jkvxBg9zHGmaqOGgOz/eBTZ7slKw+TJ7MlvyUT19QID38sN9O1soY/wpCw4fLVEN1ZQZBHB4tgEcp45JUlM/oU4SgNHs2VyFfdhmzo4XoqFAsyLPB3xQMvfvTpnTWO/mwNy2qq1lmJwiFsr/jjDNcwSkfRo9m+Vra8Sk/P8A+ljHZSGz4M9CCdXl5jIkTxJGFiUiEO7KwWa20/Humnk1/Q9Y7+bBBnXw6EGbXpSCgTjkSYZNqECefDZTCTCA/P/xIvl+Fl5+CIAEbuZVscPK5nLwHR4/yXChFJiP0M88Mlw1HnW0QkEFZWBiyk08Dx6yoKHydA0GQSD5UJ58NEtqQAQWvAx5Z7eQbGxmTKigyFfBMmMBqdNPvdfhw6dgxZhumRD0tkXzIL2X48Mz05Dh4kK0UIxG2r7FyJey1kQahWNgI+7trbWVpnXSA3suhQ+lfzWa1k58yxc8ckeTCHdhBSgo/6AmSuyTnrq9nUWh5Oe/0VFDABCE9Pf7VU+hOPsALoT1eiZNPJLgW4vXXXeToQ3k545fv3Mn2Se68Uxo/3m+n1tb0REQhIh4P99ujRS0TCVjS48gRxMoI4rQPHUr/a8lqJ28MrPZWViY9+SQ+7rp1bLDl54ef2lm2zH/uI0fY4G1rw5ofTZ3KnMrx434mTtg5fkl4pqRtB4cN869yIhHez+GRR9gm8u23s34lM2ZI99/vt5s1Cz6abduQkKcXYTrbF15gx1u0yG+XSDAFt+RWOOT7NEZavBgcMBJBS4OPPuL7ej/6UU4M5QVRaUrCvTpfecV9hL4Hv2gRazV3+LC0apVf2BKLuc5LX/yi/9wzZ7IytEeOOKfiw8svu2ji+ef9dg8+6CaEVPj3f2eTC/Y7ra3Se+8BQ6lkzTv+8geSOl5egaL0r41h0tOZe9hAjL6xAi3DzO5dGtUIivdby+Sx55+PJaqLf7kPreqW/vNelFK67DLmyO64wz9BRyKO5bUKFEw5dsy11PXBGOlnVy/3G1ZWuqWYB7Nnc0r9G28wu74g65083jyDhm1tLirzobXVOeQ5HqFjZaUTg/heeiTiJo3Pfc5/blo3pKODibba253j/spX/HbFxf4JpqTE+RQfjh6Fy+S6OmcM0NPWjTj/IwoaUZQe7QzQBZ2gsZHN0B0dLPyNxVh+IC8Pq6Z+dNN6pOt45MqtyA5UFpDk/Ce5lbvvZo/7O9/hqZNRxbDqHpj9Cgr49kfYxJFPQ/9O0nnQ1JSeEqE0R1Zc7O9WFo26uis+hxIodREyeuvC+MQtgwaxmiV5edLVV/vPW18PexhPnixdcQUwlC6adkzN/u51KogmdPcX0SHDBS2H3N3NcpFBNlRhXmByNfM859awptYU0Sib9AsLmfOORtNQr66f01A/DVkdye/axVV3OZwc06bJXxdGLiILs8xwXp707W8DQ2txqsEYTpvLyPdKZ3LqvLOANUNBm8hQemkmi5L2J2S1k9+zBzIL2tr6Vz+ufoZhw1BF1tCdfHu7W0UMCIQ9Y9DuR11dzK6np9+za2gkn1EnH/JyOyeG8gD3wTx0yElZAbJBM0IHRtj3QhuG0OtLJGCamCqIBhK6u1khFxrJt7cLdaiPx9lLCTC46KvLCiefhchqJ79uHdyEDODk0wGqAKVIx0REjkl7y4aOIE5+oDRlDTtd097OVrOwm1I6lEbUydOSDzkn75DVTr66GhY/ev11R/D2YP9+6eOP2bnXreM791TJGjboR0NRWMgEU9mwGkKIxaT16/121kovvcSOuWQJe4i1tYxsfewYiyCok6d1EjZuRC96+3a4uS4+XiMRFtytXw/7kOzYwd5zY6P09ttes85O5G60di3odhYCstrJf+Mb0PCee1xhGA+qq6Vrr2WHHDWKt3usqeFt/cJEWxvbUJUcfdNXRrilxX8faXHwYadrWlpY78S8PKZcMkb61rfYuZ98kkXe48e7QeZDYyOrf7B6NZM/r1zJJpfWVscN9qCiQpo71384yd0KKdGwcyfTYVx8sXTlleDENTWus5cPQ4c6oYgHxrCuaJMnS7fdBq6vjyCNvP/FGFNnjPn4hN/9rTHmgDFmbfLn8yf82w+NMbXGmK3GGMD6PnXk5cEAasoU1LIuGpUuaWIR2dfHvMzCic2blajdqfffT21WXy/927/5D7d3LxeA7dkDfeOLL2rmTL8C9LXX/Hsgx4+7VQtphnDkiAsIfeg43q2lq4C6ZO9e1ndt8GAnYCAYN47ZUTXpoUMs8p42jdV1vuQSVrr04ov1YheIYC65RC/FrvfbXXqpXjrg70g1bJh0cRMbsOvWMYVqJCKdfbbfbuRIqfxt8D0bg8WS5D0XFkrn+h+NBg2SJm+GK8A+gETyv5L0aczjf7TWzk7+LJIkY8x0SXdLmpH8//y/xhjYt+bUQMsK4PID0DDa1c5yRe3tGjIooUmTUpsNG8YERFVVTvFHMGWKqxXvRUeHLrjAL+zq6pIefTS1zdtvu7w9yUi88QZ73E2bDqqoEUSXo0ZxTu20acwOdXgWH2CNjSxR3NzMIn5rGWtm1Ch1CKRrqqvVkQDXV1CAb9l0MsPKSumaa/x2zc2u8TxC2A4C2uEa+qeh5K13dFhr3zLGTIDHu0XSf1hruyTtMsbUSporCbanDg6SHmhpCbnpcBD09MgU5HvVpJK/XIDk/MPs2ezUQRo7SMxX+FJUc+Y4G5JB+NKXGJGjsXKqht4Jegnm5bmaD5kAzVMZw15KWxtL17S1IdZMNuyTGMPmtbY2GOjE49zbZsMDOkX0JSf/mDFmfTKd0ytcHi3pxMTf/uTv/gzGmIeNMauMMauOQsn6qWLDhgDfftgvO9nTjHzXYXfawQ4+P59HrB5UV7s8LDncrFnsmI1NRkNroDa+v4OOL8pegU6+s9Ovzs4WwFt2G+cDoZ1YH3GqTv4XkiZJmi3pkKT/HvQA1tpfWmvnWGvnVNL86KeAOLJ9+zIouqGNKwMg9KADFlc3hm1D0LLFEruXpiZe/2TAgLJhoMfLhi5JFIGcfD8XgJ0OnJKTt9YesdbGrbUJSf8kl5KRpAOSTqzSMib5u7SA6kWkAFFtOpSL/T2aqKxEBcAKC3mDbuLk6aPOCsFy2Dx+qhSDHo92SUobOypEYP57zslLOkUnb4w5UVl0m6Re5s2Lku42xhQaYyZKmiIJVn8Ojro6fw6vu5tXbQw0a1BQeXomAVtIUZ58QQGbDIIgY4LX/p6rDRDJk2J+HR08rZNJ3Rk6d1cXy2329DDRSzwefhunjo7we3R+AoRC+Vu5jdNpxpj9xpiHJP1XY8wGY8x6SVdI+pYkWWs3SvqdpE2Slkh61FobohznT7Fjh78bz/HjjiKM8N57XNL53nt81zdMRVI6UFGBitdQ500nA6mf+9B43HWA8KG724mcfLCW81/372f1dFta0DJn2zbmS5qb2WRgLXx327ahbjTWCtGcJemdd2Bbyy1bmBqqq0tejnMvVqxAZosXw/lg507WUqwPIOyaez7l1/+cwv4nkn7Sl4uiuOACv/8cPlz6/vfhASdOdAoFgnPPZeHE/v0uFQLoPVu3siilt12ZbzX/zjuuQq+3pnxnJxLAZCpdEzp6eqRXX3UNAVIhGmU8+YIC6fHH/XbGSI89xq6xvZ3lJNatc6wCMG6HDfMf7sMPGe0+kXBO+c47PYYTJyLFjzH8O338cdYnQfPmIRGkBg2SnnrKbxeNSv/wD+DEThuHkgJPPME7jJwislrxWlTkn1iNcSlnFCWMH6+XPmI7tC+V38fSQBddhPJF1jonTxzfW7/ZjZoNTJnCPoaFiwtQJP/qq0w0efC532vrx/4wZvNmFhi9+KK/a5UkqalJL/4GVFDLz9eLU78DDii9VP0wsqP69Dfa5yLJ+84vfFcbNvlz8om/+Kpe3uJ38HfeKX3wgf+88+axMRiNuo5PXuTn45oeM+tWoBlm0CDYAjA/X/o9ZG+ThyPh3oO4jMk770DDU0dWO3lreTorbLuOTsOojNEo2vwxRroONLuQpB/dsgEtqUcAarkkdcbzpe9+12sXjbIU58SyBtXU+O3GjGGdcb73Pbj0LS9X50WgW4mkrolEJSZ19kAtHxw4sRgrrtWRKETPunM4C0ry89klDh+OG0hxtg4V/DQ0oP0FY+DjzqCDwGn2NOfjpSx38nV1rLSIlMHcL66HzPd8R1eEOzCMEcrrTp3qV8VKUnlxl668yh8Onn02E55SPr0keaXFSYQ+HmDuiRbhCru4ZFbAWhRF0FLDgdg1/XpzqG/IaidfW8u+6ZaW0KuicnR2Yiff3xGJwG8mkZDJ84eDxvCoMVMI+9unTp72AgnChun3gA8bO/lsoC+fBmS1kz9wgCm/M9omMB1Ovr9HHZ/FJh8QQSJ5su/a21w9TPT3V5dz8sGQ1U4eru60e7er6U6PGSoCdC6gitKBhv4+Z4WJsNM1HR0sXZNI9H/nTS8w5+SDIaud/Nq1zEFkXDEJB+/IkayedpjIdPccSNEPfSLIlMNLR06eRPJ0ZSDxZx2PhxyUhJ2u6e5m+cV4nL2URIJpF+S+KyQIbG9PeyXKrHbyI0eyj3Xp0vDb7736KjTets3tEANMmACaixw/jo9H0NiY2bowxcWucVcqdHez0upBQPyJtay3yB9I4wDbt7Ma+nV1zJ/s2MH0e5s2sZL3tbWO2kqwZAl4jp2dnJ740kvoxezZA5vhbNzIxFBtbajjk4xhdnI6LKRxos0X+oCsLuzgq23ei6ef5mnxXiVfqsnDGNZIRpLbGSYqFLkJfcUK19HmpIhEUIjQ08O4ug0NadBi7N7tOoIA6tP06X71Yn4+c2THj0MlJIQxrMa/IhHpxz9Gx7z6ahaht7ayaLW0lFFlJ0xgx5s4Ubr5Zr+dJP30p2DjvKjIqRYJvvMdFLWNHStdeCE43sUXM47ukCHS3/yN384Y6Wc/Ayd2Yigk2HriibRHWVkdyUej0oIFfrtx46CYRtLLv9iHVm6XN7/I1qozZrBooqND03a/qgce8NgNHqyFY/2qybw8qeMjf0j23nvS4edIuCrpQ1iG6MgRNqtu366KQxuRUznrLHbqDz9kdv/rf7HV3b2DQKcpyYXKAB99xJz8ZZexCeuWW5giv6JCOnjQbxeN8r6jo1a+gOwWFniUxb1oaEDhb8GhPbqiHJSbKC7mYiM6cNDSjp/2hTfTv4zOaie/Y4eb1QloLZW//+I6RhPs7GS7vm1tbPMneYHjxwNT40+uGiN97wa/47n2WunyqeDrl7RuxyCWg73gAsZZ7e6WrPU+Rtpno6xMuuoqcH2SLr+czUOmG1ZagwOsuZmdNxJhwysS4WM7bDtq2N0DN0AaG9nmWWsr+6as5TdDK+rRew77WfcBWe3kV69mvRTp/oskja9kGysYtFsD3WkLgOIC/5Jk3DgpL8o2vKrKupjK11pGgKfldAOAkimmTAn1tBiUEUaLl5IaRlmDeJx9qJRSlCs1LCnLnTz1EbW1mfuo1dHBQrc0OPmwKSSPXFsb6vECtWfr7wiZ/kOHA32EmaRQhk6RpZSiHIVSUhY7+ViMRzDbtrH+qWlBBiP5sEEjfow0hKH9ngsOQVsb0EdIg9+Mgs4GVOaba/8nKYud/IcfQuaDMlxZoKeHLRmzwMmHjjSkazIGOLvQSYima+gjbG2FLfOyAdTJ029vgCNrnfyvf+1KCBO8/joMEoKkD4KEjMQWOvkBpQ4dKOka3EGDv7+wI/m2Nl6/KWOrIXrizk72cLq62MOhpUGtxU2F3nvP7SP7sGtX+gtRZu0X9sADfNDeeCMcP++9h3qdSpIWLmRf7OrVjlLow/btqHFHXR1r6qBYrP93pEpDuibUSdBaac0av50x0guMTvjSS8yfwOGgbdsYQ3fNGiaGslZ67TW/nY4fRwe0VnrzTXA8yXXNIg9n7Vp2M5s2MT5oezurO28MGw+S7rqL0d8TifQrzrPWySMxRBI33QQNZ8yQbr2V2X7ve2zmuPFGplYZOVKkCDtWQHd1sa/LWuygtGgRK+z++uss4tm6FUh83aRGFa/bt7uN9lSw1s3RXhjjit4T/P3fI7Onn2YZhEmT2KmnTJHOO89vd8450qWX+u1wXwOY/zTGdSdD+P732cP5q79i3OmLL2YfPxVDSbgz1Lx57HBPPpn+lVPWOvlePPccs0NiqIoKvfBBtd9O0gs7ZyHO+IbyS7S91v8WO2bP05ItE7x2EyZI95QCCX1pKdu0MAaPyOfP/lu2TD7/fBaeVFWh4xUVWsXXfey1k9zhfN+/MdKPLliOjvdC9TeQndavR2Y1O5ejpdikSUyxXFLCqlxMmiQNfYMpAtECsLAQT4B4sXbkCAsO4nHWuLmoSHrrLXZu2kEKLkuo+HLRImbXF5BG3mONMa8bYzYZYzYaY55I/r7CGLPMGLM9+d+hyd8bY8z/MMbUGmPWG2MAk/3U0NTEGQO0yXoQEQNJJ7e3Qy0UFYxIKo5A4QbNZ8HOKz2jJ7Dj0c2Smhp0jfkFRo9f628GLTlZPplfzhwJEqaSehLQQ9EBBkV0HR1s47W+njXeloSvERX/knBuDB+vrY3ddFdXsB3sDNiFfdq+gETyMUnfttZOl3ShpEeNMdMl/UDSCmvtFEkrkn+XpOslTUn+PCzpF6FfdRJr1rClaiZBG0NRNkVakI7dXPIRJhJ447Uwf4DUYIb7EFReUV+PSyP1f9CSqJQaGWB8DWR4n4C19pC1dk3yzy2SNksaLekWSb9Omv1aUm8y+xZJv7EO70sqN8awHEhAHD3K+5hShJ0f6+xk43ZAMSjppJHJjzBkNgweOJDzSFmCx471fyePnyHlg1JqZBAxzQBGoC/MGDNB0jmSPpBUZa3t3f8/LKl3zT9a0r4T/m/7k78bUKDfdJBIPnTdBr3IsGc22hnqsxhpwUieaujSUUW03wvK6MdCyyQMcOAvzBgzSNJzkr5prf2TUnHWWisp0JrfGPOwMWaVMWbVUUpb/AQyyRmn585oJJ/JB5Rz8p8OWLyGpms+k6JO6uRztWskQSdvjMmXc/D/21rbW9z3SG8aJvnf3j3+A5JO5DeMSf7uT2Ct/aW1do61dk4l3ag7AXV1fH+PIpHg/Q0owi5IlRVqqCDpmpDDxoxFofSee3rQbhvV8WTDcMCgorKODvaiaVH+zk4mPrEWN+zZtInpHPbuTXtjKMSuMZL+WdJma+3/dcI/vSjp/uSf75e08ITffyXJsrlQ0vET0jqh4dlnpWqY6e/o8HOnJeeMzzzTb2et9MYb7NybNrE63nv3uk00L7JhCZpBJ58xUHHctm1oQKxbx/Q+v/99uAwNa11XIy+OH5c+ZrTWN96ADJs332QUyu3bpX37/Hb79zOnHIu5Y/pgDLOTNGcO2y+kK/2+gETyF0m6T9KVxpi1yZ/PS/qZpGuMMdslXZ38uyQtkrRTUq2kf5L0SPiX7fKQtLJkURFPhTz4oN/GGNfhh+CCC5zOyYfCQtggZsMGV0jfh54ep+Al2LUr3JZKmzez/mybN7OP5sABxEPv7IS33NGB+dPd3c6fefH002zCeuQR1DSA6n3mzYPpmoMHkVrTGLhXOWQI/gBvuAHGJd//PvsIbruNaTvOO0+6/Xa/3aBB7twETz+NzG64gT3H73wn/RlLwq55x1prrLWzrLWzkz+LrLX11tqrrLVTrLVXW2sbkvbWWvuotXaStXamtXZVOi78rrvc4CadoYxxddMJIguZiuG2yEIUnowf74I3H846C1ZUOOssLSj6kt8uP1/P598JDigt2DsHka0XLmRL0EXVD6lzsr+V06aaG7Wl2i+HjFeN0gtFd3vt8GReXIxpWW+9xVZiC9ZPRoH8RwdGEJGvolE2Yd15JxTeVFdrwbC/BIZOOOWFMVpQ8mV0PKo9eW3HeFTv5UB3pd5fCTuq+BoI94LaoZoPWSaG6q/oDZqw0IICrn1NN0ua0uurq2OapK5EvqJjR6Fjxs5nStbYJVcg7zhiBOtb2VlWpbx8f1TbWlChojL/WjWeMLIzWP8/0kRGEsvLyQWMZ5zhtxs0iGUapkxhjbLLy9niylrWhVLGKDaeeG+eQYvFmSH9BqgAzBj4mVrLT05zXvB49LSh+69PQdY6+aBIS+oXHJQSSA4eZHsMhw7xvQgreNNwvXjhhZzUQCsjkvK3QeqYhf2ehw1jVQJHjWI59EGD3H6gD0VF7LwDiUBCK29Go7D0QkYVhv0HnxknnylQynhDA0tHHjzoHEomEIR2T2zT4eTDxujRzHlTu7AxkJw8ZUZiJ09njQGOnJM/VUCPRyN56hgPH2ZpnWyg1lEueCad/JgxzHmXl+NS46EiHaLOTBKeyLlzkXwwZLWTj8ddfe6MIIAsnjh56pSp+KW9nXcCytSEQJ9NJp18ZSVj4QXtIYPy6AADKZKnCBTJZ8jJ9ydmcFY7+WhU+sEP/HbWun4ECPv2hbobkilR5/HjAaoThoywJ41MOvlIJPz7mTDB6SJSwVrp7bf9x8qkk8+UI8touibkmz54EOpj+oCsdvKS6/PhgzHSY4/BAzY1MY+yciXiE+7cyeqCh43mZqmsjNlm6mNNJJgDpU4+QBe+0GEtp8MVFPgpdsZIF13kP9bmzawzlMQ3cylWrGDP+513WCu8Dz5gNOLaWmnjRr+dNmxATWm0Z4+z9SEel155xWvW3s4maMmNhXT3n856J09Bm37rhz9kXu+BBxDNpaZGmjw5tc3x44ymG4/j3hSBInmaPnj33XCd6GuvuQ/Ch61bmSPr6UHfoPN0ixcDQw5jnM6JYNYsae5cv91dd/ltZs7kXYgaGvxlO2prmV+UpM9/nn0q997LSAV33slKlcycKX3xi347XXCBdNVVfrtx41hHuGhUevRRr1lJiWsIR/CXf5n+BuvZ7+Rpayho99xi2IVk924UFhH+dFmZU9ouW5baLhp1XHVyK83NUtmboIOUpFWrXK0UAvJRv/MOa9f3wAOMMz5jBosECwrcd+1FUREn1C9YoLVr/fVFnnsOnnvJEkXaWvxR+o4dMms/8h6uYqjVGZuAIlDS5e2LNHFiapvRo/lYoHakAoHkAgiyyX3sGGwHOWyYnn0X8I2N0XO7WWOK5/ayaLG52W8jSS+yT7RPyH4nT5tVQzu8IWYMOmYkwlL8I0Y4hoYP3/gGu5UdO7jSsK7O1Urx4aqrWOTd3s644FOnso9h+HDnfAiIWEsSb0QQj2vSJP+SGvdMp3ninh62mROL4U2fCcNavMrv4mIm/pL4qo4+m7Iyt9rwYfBgWGoiwLn7u11fkP1OPlPIy0PeOxplEwetC97Tw1oexuNSYR4bQeedxz7s0aNZWYPHHmO538GDWfG/IEjH/sKDD4Z4XLpTSjciBhAXvKKCOfmiIhZs5OCQc/KnimgUOflIhM3W1Mk3NrL85le/KpWXMqn2+eczjnd1NXPy1dUs0ios5Ev+TCJUdhQltgdx8oQmmMGKn3TPZ+hQlpbrT/TEbEDOyZ8q8vKQ96Z0r6YmxoZpbGRpncJC4a+LqjVHjJCOHPHblZVlRhiUNSBeipaUpk6+owN3vQ+boVRQwErDFBTwFGOmmp5lI7LbyQdRQ4XNrws5XUOFQU1NsCSx5JYGIDQaOdIpaX2A85qKisLdyA2KbFD7ekEjeVoLoK3NsQA8SEf2Jz8/3Jr3mUaY4+v991mKqi/IbicfjTrKI8Hbb6On+d57UAsFnTxN11DQSF6Sq38AQm/qvDMJ+mGVlXFmQ5jYtw9ObLt3MwntoUNMJdPQwDxoayvi6h0/zvUVFNaG+06s5eM17Am/tNTNlz7Q4OW228Lv0ftJZLeTl6Tp05ndk0+itvZz50IF4d69qFA8jeQp2ttZg2dJboYB3Xt6eph4w1pW4zwWC7+lWX09e47NzaAfiLW8fjjs+NTcDBX0w4czLxqNshddV8c86OrViMu4ciVLyUmOT79pk9/u6FGnN/IhFuMLc6SHkBvbYY7FsjL/ftPBg9Latex4l1zS92vy4bNT9aKmBpnd7e9N4XDWWSjH2djIPpqFC6UvfMG/Qn/3XemKKxgD0A6tkAFhR14e04xIrq2ZD4mEmwzuvz+1nbX8A9yyhaWzrr4a1GE3RrrmGnbi730PhWU/+AGM3u6/n6Vhrr6a5U0uvhicVE4+O3iw1+ycc3i5l2uvZQ1Gbr0VZYqUlyf9+Md+O2Okn/3Mbye59Oa2bdLZZ6e2O3bMMcJ8VNmGBveTitI7cqQTivUXZH0k/8wz0PDZZ5EZ1Va9WDtdXdUTvHZ79zK15re/LS1f7rd74gncuU7PvD3SyQ19ds9It9ziP96iRcxu3Tqn5PPB7N2j15/x69it5dql5ctZV7pn47exA5K2XpKKX4YD8dVX2Xp/1y4mtc/Lk5Ys8duNGoXsRo2Shr/2O//xJJ2781nUn7R82TNsdbxokaaM8j+b+nr8WjRoECt9smwZW8HPOfSSt3tjJMJYaFIA/9UHZL2Txzk3aEhTK1ALpenTmYS9ooLl2idN4vdsrVBYNnQoS/9ecIHbKPJh+nQ4yAcN0s/v90tejcHEEP5saEOVIE3JCTo6WOfm1lZ2083NLEyWAg6cDNi1taF7Li/nm5UlJcx533orsxs1tMO7KpDCfzR9gdfJG2PGGmNeN8ZsMsZsNMY8kfz93xpjDnyiuXfv/+eHxphaY8xWY8zn0nkDUPDCQwAAIABJREFUYYPSuCg1sriY8+QxawbCGDaI5s6VPvzQbzd8OGtJRzenNHiwRkTTXILvJAj946I7bZQaSTuqNDezIkU9PZlrrxUE4Ny4CmUA4H2ukHE6nDxZRMUkfdtau8YYM1jSamNMb5WVf7TW/p8nGhtjpku6W9IMSaMkLTfGTLXWZpa/kZeH6Ga9Gyu+Qkl0oJWUMHVeY6M0dqzfTuIDo7rabQL5SgKQzaS0gBKoP4tob+eRPHHygbi3GUIGua+9kpJMlAVPN7y3ZK09ZK1dk/xzi6TNklK5jVsk/Ye1tstau0tSrSSQsEgzYBhKhTzUydPyrun4BqdMkbZvD/eYdELo7yKU/n59oUfyjY2MqxeIvgWRBucd9vsbNYrn0cPE6RiHgeYtY8wESedI6i1Y+pgxZr0x5l+MMb0uarSkE7la+5V6UjhlxOMBqrhVVqJi1dSJUSdPm07QVXwQQJq8JC49nz+f0ShLS1mRshxOAjogqJOndTPq61mVtwGhOPsjJk7kJZYJ6ONZvhymNvsA7OSNMYMkPSfpm9baZkm/kDRJ0mxJhyT99yAnNsY8bIxZZYxZdZR0CvgURKPS3/wNNG5oQGTwsJ18JhEkShg71pUI9qG0lE2sM2cyckjYzqKjg6XHjh+Hk9CRI+waN2xgqae1a1lVtk2bmGhq40Y2YLduZQN25062MXz4MONadnYylZi1aZF+0uE1cmRmIvknnugn9eSNMflyDv5/W2sXSJK19oi1Nm6tTUj6J/0xJXNA0onZ5THJ3/0JrLW/tNbOsdbOqSSdAk4CWhZVc+c6grkH7e2s6wwtIZwObNnCBqS10ptvsmOOG4d0U8rPl264gR3P1+JOiQQqmhNEu7RnD/OhdXVQobpjB5stq6oYr33mTMaGmTmTRdRjxzK77m7Ek9fevWyDdssWxlBoanKdSHwwBrZ7cti4kWssiKNHK+4AfZ2XLkWmiN7ZZ1hrU/5IMpJ+I+n//sTvq0/487fk8vCS23BdJ6lQ0kRJOyVFU53jvPPOs2lHIoHMWlsS9te/9tv96v9L2CWL2TH/47d+u6eftjYeY8db+ELCdncDw0TCPvssMrPWWtvezuzI8To7rf3KV4Dt976Pjvn88+zc9fXMrrmZ2dmmJmbX08PsgjxEakdsOzvZIZubmV1rq010dAJDa+3Ro8yusZHZJRL2F79gt/3AA24sgkPar37VY3TsmLWPPooucflyZNZnSFplPT6cRPIXSbpP0pWfoEv+V2PMBmPMeklXJB29rLUbJf1O0iZJSyQ9atPJrPkdE25Q1UHp4md17z3+5PQNlSt16SR/FNqxp06v/sZf/Ss/zyryHLvGmzp+x4pIPfOMbr/db/Yf/+GiD99+26JFTEH/5psug/CjH6W227NH+vB6IHG0Vrd0sffs667Vi8GL2fGeWcoKufxuAdtQWbTYoJXGjp1Gq1eDA/b0OLm0D4WF7FMZPJjZlZbqmRdBWkdyfR6J2ZpyRNHVjh36y3NXowXWj85ZhLJP5tln9IUveIyGDZOmTQMXyKjGEndffQFh17xjrTXW2lnW2tnJn0XW2vustTOTv7/ZWnvohP/PT6y1k6y106y14TbTPFXQKpRjxyp6wJdnkIbPn6rinf7lZfG4Sj31+TVeuye/DUntCpBrtxbZTpjAmo1fdBHL2/du+E6dmtpuyBDpeA+gCRqD7iMb9gJp0UhM5zt+PEDFOoZMMo/QO2xtVbQMpLzicU0exbuLXHcdMKqqQsfqT+ytAcgKPQloPd0zz2RVl4YOZVxLYzRxhH/7nEQbgdGrDfBgzhzX59WH8nK2x1dVxR71kCHhVieE1XQDIeyJI4iTR46iqQk5eVKXJdOg4j21trL9BVprX8qOCOEU8dlx8lOnMtJ4pmrVBgHt3jFpEiqck58f7iYy7fATNkOpvh4VGk0LglQ/IPuatL8ArT2dyWdDgaPf1lY2m3d3pyl6yi58dpx8EI5UptZa5eXMO1J+4tSpjjoXIkaN8hNicEQWBOCdZIMjo8DpGhjJZ/TZBBgMOJInvMOuLh7JZwj9onZNv0YQNVQ6HHeQ5pWEAzxjBksVDR/OKoqVlGCeGc3LX3ghK1IWOsDXkElHFvbwwukaKIaizyaI0wn7nnFwQJdDuUheUrY7+WhUeuopbr9yZbjl4RAZXC7Pv9lfbRE3W5VY0ttazD2mefmCAmlx/9hK/zPAoNYlxkMu1vPhh+FGZThds3UrWv1t2cKuj+buDx2Cqba2Nizp7OmBPV47O5nwLB2RPJjZurqYIE9y1Z/THc1nt5OXMKVJklNOkfCju5upiEaOZEXgi4uZOqKnh9UGl1jYHaBGb36+C/p9CxNjXMsyHxYv9g9ea2Fd8LY2xI1sbob1zqJRKMflpKzJk9nQWruWCVmPHoUC0NGj0cyWSLCSNFu3MiXwvn2wqGVHBw5c9u9nMZNWr2ZKtg0b2Heydy8Lwpqa0DI2kXA9FQgefPA0ZId9RPrT8dMnMRQUjcTjvf8DDldXZ+1HH3ntEq1t1v7P/+m1i8cS1v7rv7JrXLWK2QE1TzxuLVFN9T7Cr3zF2ljMb0eO9/bbzO7pp5ldYstWr913vmNtWxu4QGutbWhAZg8+kPCKxKy1NtbDHs6rSxI2EffbLl1q7bvvggPG4+i9dHWx97dhg7VvvuE37OqytrOD3XOikQnK6o8lbE83OOaRI+xmDhyw9vBhv10sZu1rr/ntrHUvBuDYMXY4+k2dDApJDNW/AUVOzzwjxRL+233mGbliZrNnp7R75x3pYFOJ9LWvpbSrq5Peett4OzRZmzz3eeexawQUsmeeEeLr9Qoyfv7z1NHZM8+wqHb5cibX3rtXuvxyv11Hh/TyNg/pXk58RXuEohWYpB/PWYQi4OgCNg6v7X5ZpstflnTECLgIi0RQ07OCAvapTJ8uXXzQr9ApKJAKFzIlz7PLmKCs4vevKK8H7CE1N0tr/NoTjRrFVuTRKFcvEWKEpBUr2OFynaFCxKWXSm+84bcrKmJ7lX9Is3uc6IgRyeW5Z00WhJESdg6v99wjR6a2o1UtBw9m9WOGDGFlmBsbWRnmsrLwl74TRnAxDUJHB0p6d3ayopFSuOMhEglQUx0+bHx9HR0sp9TSwnjy8fjALBAfEJ+ZJ1BdzfYq6d4nJbhkuskOIf/8YSLyoKaGlWOlIqchQ9hkQDdU29vTUNEvHbtiYFDQCsIZRboYaz7kxFCB8Jlx8hKL0kePdt2UMgEqIqIRNZ2wampcsUUfCEde4pF8NMomIRrJ19fz6Le/o7mZ+bHQYW3/0uR/GlpaBowYqt81Dcl2XHONP1dWWcmi2nRgzhzWa5VqoWhnKDoZUKccdrkCGsk3NGSBGApGjPE4b8kaKrJhCUG7ZgWJ5ClCjvhzYiiC7duxVyYNQagjC4IhQxgte9gwRpujqSLYDCv0ex40iEXyFG1tbBNyICleM5UJ0bFj/gbHUmbz3VREkEHFa39aDGW/k6+pCVSFr6yM6418oEJWqoWSnCCJ8MuJcCkdA62jw89F7+xkk1AQkHvBYqhYLHQxmZYuZTPlsmVI8fPBB1xQQ0D5/qqrY01IAsyojY3gO0kk2C685FYbhCff2MiKMtF2Yl1dvFMJRC5dQ3D33YFm60mTpN/85uT/bi3rYSo5uhlx3kVFXCU6ZYr/xRvj5jaC995jH7e1TEhE0knWssWVtYzxRIFTHNEoU90Yw3dy77uPRZdf+xoar/PmsdWLtWxuOXaMlYnWu++y5d/bb+N2ffE4mNeMwXXnVVvLBvWhQyxv2NzMxkNPD2ufJtd7gbyXjg7Yoawv8BHpT8dPn8RQqdQ7J7FLJVSIxaz91a/8h4vHrd2/3wlwUiGRcMdcsIDZAb0WtovHLepyFYtZ+/Wv+/VVsRgTecTjrPNSImFR56onv5Ww3R3+9/y1r1nbVA/HA+z4FGvvYnbwtDYeRwqYeJyPhXvvZafesxNc5K5dTNi1cyfu5NTWDB/OoUNMHdTYyB5Oe7u1ra3s3LR7VV0dMnvnHXa4b30rQJeyT4E+E2IoogT5hF2qVeaiRULdlNaudblij8ZJO3Y421tvZZdIgsHnnuN2993H7H78Yz+b47nn2Ar91VfZMnTHDmn8eL/d2WdL+S8+57X71reksuV+O0m4CeeCl9kqkQ5DLV6MUgN1dS6o9iEalebPZ6cetxJc5IQJem4BeHkTJ+JnWLIYvpMPP2Qpm7o6VjegqEh65RV2btpEGC49aUp4xoz0s6iy38lTFBaiAXTRRezjOvtsN848wtg/bPaSFAxFOioFVlfzY/oAe5XgOvb3fYXdRJAyRhT0WRcVwZQy3Ayk+z0SS6FnBagY6vhx92H5kAWdUk4HkSn7nXw0yjzFjBloE62iItyGF4TRk00gecb8fO7kiV1aNqdC5q4NGwY3m2MxNwt6UFgIKzJS0JZU2QDq5IOo40IeDzl2TZioqUHdjzRpElP8hIyCgpA/1gyiuJhFq3l5bN6lTj4bMHw4L3+SEQ/Q2DiwlGIkBKbc2wEOr5M3xhQZY1YaY9YZYzYaY55O/n6iMeYDY0ytMeY/jTEFyd8XJv9em/z3CWm9A9r9KBLBszVtIkUVoBR0dUDLFYSN0lJWGjzsSD4bgCP5TKGhgcmG04GwJ7VYjK1K2ttzTl4sku+SdKW19mxJsyVdZ4y5UNLPJf2jtXaypEZJDyXtH5LUmPz9Pybt0odBg3BTAor58xmNcu5c14ckLIwd6+p0+0DLGkhsMqDfYGkpoxOnJZLvT+vfTwHOoR8+HK5SjKKhIdxIvrubp38yVReGpmsGeCEz750lmTq9bQTykz9W0pWSerfrfy2plz9yS/LvSv77Vcak8QtNJFBDiT8AeBWaDy0qYhxXevf5+YxPX1rKxFBlZeH6k5ISNp/u3es6EfmwZw8UibW1MVaDtY6/TdDQgGai2lrWRCMvL0CnJOgcQ61KGraTp8rYIKAfSnc3e9gHD7JoY98+NrAbG3F0tX8/q4G1ZUvoMeqfAU1fxpioMWatpDpJyyTtkNRkre19gvsljU7+ebSkfZKU/Pfjkv6MeGeMedgYs8oYs+ooEV+c9A4iThBF0N7O6kvLKQ7J+9y1K3UEF2QOmjnTZZ98GDmSbw6T2jUHDjD9S2sr29Y4+2x2H5MnOzaTF6Wl0l13+e2M4XzCzZuRcqq0lAWDnZ1sFaZvfhMzPnbtYr7sgw/AZL5yJd402LQJrAB37WLcv4MH2UZOZyeu8a833mBL1Pp6NgP29LC0Dp7J3WqbjJuKivRnlPzb/JKstXFJs40x5ZKel3RGX09srf2lpF9K0pw5c059PReLSVdfzezuvddLdeklPzz+eOqHH4s5H1FTkzpYMIbx7mWt8k1cV13lfyUjR7J5LS+POe/iYsZcKy9nKYlx45jyNC/PNQb3wVopPv9SNFhjd9zNBvVTT6HI8WtfYwFmNMpSWfGCYpmEPztgrYvwyHO84grgb6+7zm0iARQWguzF1q2KnTXb/6wPH1asZIjfrqhI8Xu/oggogpn4u5/IRvLlfTR33KFYYan/3JMns2czeLD01a/67SR94QusAObXvxqTMWjEnjICJaKstU2SXpc0T1K5+ePVjZHUuwV5QNJYSUr+e5mk9G1JPQeFFs8956guniXm88+7ybqmJvWHs3u3C47uvDM1T7m9nZfkoPfSeys+HD4sXXaZ327IEFa5dcMG6XOf89u9/DJbJe/c6YRiBAsWQLvn4ZIfil9op6kFC6Tvfc9vt3Ej4wk0NUnnn8/OjcqpzJ+PHyIRqOn227Vg97l+u5kz9XzPjei8r3dfhIKI/T1VqLyGSkvZLRvDRVPQ7oUX2OGiC+HA7gMIu6YyGcHLGFMs6RpJm+Wc/R1Js/slLUz++cXk35X899eS8tv0IIhaBXwNlGk5ebLL1xqTOuqhjJR0bCzSPt5BStoCird6ephdQUEGefIho7SUreTPOIPtQwwdGnotLAzy7nBRwPx8eEBeyn4A9/dIC0gkXy3pdWPMekkfSlpmrX1Z0vclPWmMqZXLuf9z0v6fJQ1L/v5JST8I/7JPvLpqxnc86yxUXChIxchIhH3YQdSLAwXkYx1IGgLaXYtObEGAJsEsEEMF6VfS3yd+2kb0dICwa9Zba8+x1s6y1p5lrf0/kr/faa2da62dbK39orW2K/n7zuTfJyf/HTSM6wPOOUf66CO/3cSJSDRFBT+SdMklrLLfVVfBAnuQAB+kH2yYCJufn5/PnXx/j95o7f50AD0bXIc5c6Bl4vv7WJDcvhmlOacb2U8OpY1CA4ihKMaMcVQpHyjVkk5EgdSVIQLfB8RAi+SDOPnT7qjSoHil0XQQKmhGIvleFkWIwFoWXOj/1JH9Tj7DoNEoaisI6+tMmuT2A043cBEuiIGkeMV7L3JEjtPeR5g2ys0gMpaTT0MHeOzkV69mkWIfMDCcfHMz05TDfEOQfNoFF0j/9m9+uyuuACmbkhKkvCkrY2KosJEOJ08jeRq5LVwIU0obNqCTf/yxy3SEid4Kpj6UlvqHQ1cXnDCywMknALW0F2Q8dHZKS5aAg9XWsuYiR47gOiYtLdKaNcDw6193Uvc0YmA4+ZIStvmaSCBJaZDNV7rvm5cHaFWJhCto70FxMeNk04inq4s52/Z2NsaXLWOTwe7drCG5tdKLL/rtJFcXHzmKykrEQ508mVe1pd2/8vJYKfaRI/2TQUEBTN1t2JB+aWUfsW8fG187djj6rQ9FRdIPCO0jL889bB9KSnDKq7JSmjULGNIWb31A9jv5nh7pnnvc1+gx0003eUnAveK355/3n9Za95Gl4kcnEi7lZ4z0k5+kOKC1jqqT0sihMNKjJ55IbdPayvajJbdiJE4538SQ3QMPMCFIzfi4br/FT08ysvruN1leZ1oNs+v56jeQ3Zfv6kFRY1G0R3/91+C8PW6Svuqq1HaJhBtbvuydMdJ3v+s/r6qqkELVWumlhf6lkLXSimX+d1dXJ23+mKlEq0fENazCH5mcMTWhGWewY06cCIzOOsstyX0YPNgJYwBiMem22/x2pyNdmf1OfsECF7p5pOILFsitf886K6Xd4sUucrviitSnXb/+j3nxVMy01tY/RniTJqU+phYsYEqU55/3KuNLS3ndmrPOYpVbL61/Hn0LTU1spWF279LZlqmhzt7pmXV74Zude81eYtxt8wI/75QpfrNXX3XP5qabUtsdPuzE2T5lc2cnbFb05S8jIY8x0vdm+5cZxkg3DPVX8auokGa2vQ8uULopf4mGFflXG2O6duisxHqvXSIBRUmRCF8qvvwyMluwgKWUXnkl3BTopyH7nXwAkPTFRRe5CpRXXpnabuZM5+h9oOSfsIm/xjiKJwHtTpMXtYhqTfUDme0akhl0dbFVTm+zGd+7qa+HnaEiEfwcZ44H+WlJN53nz1Pm5Um3zWV57EhHG9sAbW5GqxLaaEpSyNXgOMaPZz3E+4Lsd/IjR6KdJ0pxGzaMCZeCiFoy5aMydd5IBG5+poNe088nBNgYSiUlbDVUX8/67mIZchqAXwml17S0ICff1sbKdaQDVFMCWdN9QvY7eSiGylBjKElugglVGNHPHRltfpIpDmVra+Y+fgoqeDt2DDr5dHSGCpvLSMc17AzV2ho6MxKDlvkuLw+fvfVJZL+Th/mQ0aM5HbW8nJXyLShg4iDahAQfEH5coc8F8IChp2tCxuHDjEyRDcDMSFpPPpHIXBBBJw3YoBtP5mkQQ1VU8E5h6X7c2e/kJfSUolEuyb/oIundd/12Z5/N8vK4VEImlxshAj/rI0cYF+7wYfagOzsRAX0gOXma/sGzQWsrqxMvZXZFCc6N0zVpEEPRtO/pwMBw8sePh6rzp5ulNTWuwQIB+h6mTGFdPoxBtXx37/aWzw+GVavQyN23D85VVVWsjndVlXTxxX67oiLETqqrC9DU6NVX2bLkrbfQoFm5kuluJBbY4owJjeQzKZoKedI4fBgabt/OPpTDh3E6oD/1/B0YTn7w4IxUA+rpcd82QUcHEMB0dzOVzJEjIgW1i4tDDlCuvBI5gMmTYU3y8nI/l1ByH/9114EDSnroIa/J3r0BavDcdx9byt97L4qAr76asZmsZRPlkiXwXnbuZKmxxkZWyKy7my0haG0Wa6Vt2/x2kuvuBiTptCmVCgpYsFFaCqlMzsH//vfIVGvWpLfMRdY7+e5uudZwHjFUd7ebsH2Kul7lZ35+6oYWvX2Mf/rT1MeLx13Qfc89rmPSyWCt1F1chpxU9+13u1yRB19/sMv7HR46xBt3dF3+ORRtzZ3drTGj/R92PC7FErDsIK1/ABxZW5tUaNjxuudfzuzOm4fsrrqK+bxEgjmov/5rGAB3d6vbAv7r++8zTt/Kleo+AOhqx46p+y3AkzdGPT0szRe//YuK5fu5kV/+Mgw2ZsxQ9/mgD+Xgweq6415wQGni6G59/vPAsLtbX/iCW6ymC1nv5J9/Xm6nz0M+XrBAOu88v0S9VzwxZ07qZtQLF7qPdcSI1MerrXWqxaIi1zDiZOjpSVY0ONffbWfhu8NRN5D8RQu9NlVVvF7IQv/hJElm+TIUae3YwcoaBDo5sPv2t9mzkXiHH2q3aBGbr7ZskW65xW83fjwsp/Doo3phGVjWXX89yzPMnKkXol/w21VWauH0H/rtJK0473uoafqu8ZejLZqyMi6GWvgS+wgWvsw2aM3CFzR3LjB84QWdf37o+75/gswQZzOAkSOladP8GzG9HO8JExwj52Sgta+LitJPkeoLIhFYYyNN585EbXDYRzst6O5mYqjGRlbWBDMj6U2PH+86g/tQViaxzIU/EkqiPVaAxEuZpEZmI7I+kh80iG2Snn8+SmP/CW81lbqT7hEVFoZbg30gAYumMohMEUhoj4+Ghsztk4Y9QcdirHlVGxTG5uCQ9U4edvVTaSlTENKGHEFay6a7NkW2IhucfKbQ3s4k+ZQ0M5CQc/LBkPVOfty4cGs/hE19GkhOPpA8HcyC2MkHYWiEaZdhkOdNGY9Bui5lCvSVhJ2uSctw6EfNar1O3hhTZIxZaYxZZ4zZaIx5Ovn7Xxljdhlj1iZ/Zid/b4wx/8MYU2uMWW+M8e8k9gFBnhFpBjJsGIvkDxxgK4O2NtxnIGMIfZxt3ixt3eo1270bdrjasgUdTy0tsJmu0I5cLMY57WGDvhNahKuzk+0FBEGmJo1YDLUCwOjqSsM+TYYKnn0aSCTfJelKa+3ZkmZLus4Yc2Hy375rrZ2d/Okl4l0vaUry52FJvwj7oj8J+pzmzGEdlUgTkI4O9tEYw7Q0x46F3Lc1kYBtcThWrYLXeNdd0uzZXrNp01Izjv6AM8+UvvIVv92QIUJF3Y3xc1/lGA+rV/sPZy3v1BV2X9T6etbF7OjRAKsmMKGmoxpF2JMGfYZNTcFqt3mP29HBaWMffpj5Hq/WoZfYlJ/8SXVVt0j6TfL/976kcmNMdd8v9eRobGRaKNJ4O5FgwoQnn2S0p4oK6atf9dtRtk4sBnntkYj0F38BDF0kAwS0uu46WAxr3Dh0M1VVbuL1whhIeFaodsZIf//3/kMZwxv8LF7Mvun165nd/v1sHB4+DFtaGoO87UcfMUWptaiMvSS3CAuzsfv27WyluH07D7CWLQMNtoqKUlPzTsSkSelfEllrvT+SopLWSmqV9PPk734laauk9ZL+UVJh8vcvS7r4/2/vfEOrvO44/vlGd2s2w2pWJzJ1rsy0lXXTkXXK2tK1OGyRsRd9oQwqRSplHXRlMCsro3tT6ovNORjDjv15U7YxNjHNbK3aDAuF2mhtkq5mRtF24kwYahqa3Jrc314857qLTX1+1zzx5t7nfODBe8/9ee75PTn3POfP70/F/z0AtE9S52agG+hesmSJXSujo2a7dpn19qbLlUpmGzakVzg8nP69Y2NJfWlcupRcqZRKNnphzCFotmOHSyxR2sHDDzvb6KxvOu6NjfnuTTVtzFJwZMRX3d69vnuz/WcTZh9+mCo3POxTeXzcbGjI0UAzs/PnU0WKRbN33/VV99o/ii65PXvMJibS5Z54wtVEKxbNXutK//sVi2aDg44Gmllfn09udGTcJ+jtOB8D0G0p47fr4NXMJsxsBbAIuEPSl4CtwK3A14BWYEuVD5fnzKzdzNrnuwOJfJSOjsRppK3t6nK7dycPzNTVfEeHKz7Tiy/6lqz9/b7tZC5dYk6XL0mo2zvOme1m9WrnctVZ3/79vlnjyZM+y6hqvtsr563OK+hMGMTFi75tk++vO+UKttbc7EoLzKxZ/uMKT2iNQsHvtr960Od4ZuZLQ9vW5puhFwq+7y4UnNm1SE/HWKbj707vJu8yZwpUZV1jZheALmCtmZ0ND5Mi8Hug7N91BqhMP74olE0LZauBtIOYsiVHSva/usDroerFk6g6cnW8K+5Sybe94t0jrmVijKzxmkbedVdtHdrqDY91zXxJN4bXzcAa4Fh5n12SgO8A5TlZB/BQsLJZBVw0M8dR5rXhNcNbvDiJjphZhZHINZD19msjeX96z6WmxRomY2aSuapnTrgQ6JLUA7wB7DOzTuB5Sb1AL4mDc/mIag9wEhgAfgN8L/NWV+C1k29rcwa5mzsXVwCNSOQayNqQopFm8l6cOUMigdRFoZn1ACsnKZ801XU4DHhs6k3zsWxZYr62dOnV5VpbnUH8W1oSe2tvdus8UfYaSZmmZO6TlHGFZlUs1pw614qRkfx11bGxKhJ0O6ime9XjIr/uPV5bW32p+tyUB/nIR3n1VdeT0uu7dOyYc3XlFRwZcZ8uug9eX3ghs192sZitEw/UR77arHHP5N97z3VCOzaW5IZJQ6qi38wg6n6Qr4YTJxz24MWiKyXd0JDPtnZoKLmyEnz/fefZQqnkjEGb2Du7xrEtW1yG8uvXu3yhuO8+WLNbgPiRAAAFYUlEQVTG8b233QYbN6bLtbTAU0+liknw7LOO7wV45pnUk9L+fl/CoIMHq1gQHD/uyhLm3a4ZH3c6MJklHssOBgacdu1nz7pCsVaT4tXlvbtgAdx+e6pYczM8/bTvu7dt88m5t+UOHaq9M1Q98NJL/kQMqVYLLS2uYDOzZ/t+sE1NzljRTU0uk4o5c5xJspua4JFHHIJw+rTTYmfx4nQZEqczT31z5zqDa0nu7/bKeavzCM6bl5ihplEo4IsxDrByZRI6NYUjR3xhMz74wBdBGMkXCrIa0VLJtYTp7PRNNnp6nPGqCgVYt84hmG33Gh2twjT4llumfStQNgMCNbW3t1u31y98Eg4ehLvvTpcrFp0zAIegt67yysFlEues1K2Hk+Hh/O3rZo1n2346tva7u5M8M56H6rlzTh+LrPuhU7Cvz2fifPhwovMMPSbBDHbuhEcfdQiXSlOyiZZ02Myu6jfeEIN8JBKJzCQmJqY321OZuhnkJQ0Bpx2iNwFZhvGqN/Ksf551h3zrH3X/eD5vZlcNGTAjBnkvkrrTnlqNTJ71z7PukG/9o+5T070hDl4jkUgkMjlxkI9EIpEGpt4G+edq3YAak2f986w75Fv/qPsUqKs9+UgkEolUR73N5CORSCRSBXGQj0QikQambgZ5SWsl9UsakPRkrduTNZJ+J2lQUl9FWaukfZKOh3/nhXJJ+mW4Fz2Svlq7lk8dSYsldUn6p6S3JT0eyvOi/xxJhyS9FfT/aSj/gqTXg55/llQI5TeE9wPh86W1bH8WSJol6U1JneF9nnQ/JalX0lFJ3aEss75fF4O8pFnAr4D7geXABknLa9uqzPkDsPaKsieBA2a2jCRXbvnhdj+wLFybgV9fpzZOF+PAD81sObAKeCz8ffOifxG418y+AqwA1oaEO9uA7Wb2ReA8sCnIbwLOh/LtQa7eeRyojIyWJ90BvmlmKyps4rPr+2lJYGfCBawG9la83wpsrXW7pkHPpUBfxft+YGF4vRDoD693Ahsmk2uEC9hNkoEsd/oDnwSOAF8n8XScHcov/waAvcDq8Hp2kFOt2z4FnReFgexeoBNQXnQPepwCbrqiLLO+XxczeeBzQGWA3X+HskZngf0/deJ/gHJ4qYa9H2H5vRJ4nRzpH7YrjgKDwD7gBHDBzMrBsSt1vKx/+PwikB4DeubyC+BHQDkG5WfIj+4ABrws6bCkzaEss77vTBccqTVmZpIa2t5V0lzgr8APzGxYFWEGG11/M5sAVoR8yruAW2vcpOuCpHXAoJkdlnRPrdtTI+40szOSPgvsk3Ss8sOp9v16mcmfASojOS8KZY3OuYqE6QtJZnnQgPdD0idIBvjnzexvoTg3+pcxswtAF8kWxY2SyhOxSh0v6x8+/zTw3+vc1Kz4BvBtSaeAP5Fs2ewgH7oDYGZnwr+DJA/4O8iw79fLIP8GsCycuBeA9UAdJuKqmg6gnBJpI8ledbn8oXDSvgq4WLG0qzuUTNl/C7xjZj+v+Cgv+s8PM3gkNZOcR7xDMtg/GMSu1L98Xx4EXrGwQVtvmNlWM1tkZktJftevmNl3yYHuAJI+Jaml/Br4FtBHln2/1ocOVRxOPAD8i2Sv8se1bs806PdH4CxwiWSfbRPJXuMB4DiwH2gNsiKxNjoB9ALttW7/FHW/k2Rfsgc4Gq4HcqT/l4E3g/59wE9C+c3AIWAA+AtwQyifE94PhM9vrrUOGd2He4DOPOke9HwrXG+Xx7Ys+34MaxCJRCINTL1s10QikUjkGoiDfCQSiTQwcZCPRCKRBiYO8pFIJNLAxEE+EolEGpg4yEcikUgDEwf5SCQSaWD+B6esR0tQfA3/AAAAAElFTkSuQmCC\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" }, { "data": { "text/plain": [ "" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "\n", "\n", "scaling_factor = 1\n", "\n", "# we can run it from any folder\n", "path = settings.filepath_images\n", "\n", "\n", "frame_a = tools.imread( os.path.join(path,settings.frame_pattern_a))\n", "frame_b = tools.imread( os.path.join(path,settings.frame_pattern_b))\n", "\n", "#no background removal will be performed so 'mark' is initialized to 1 everywhere\n", "mark = np.zeros(frame_a.shape, dtype=np.int32)\n", "for I in range(mark.shape[0]):\n", " for J in range(mark.shape[1]):\n", " mark[I,J]=1\n", "\n", "#main algorithm\n", "with warnings.catch_warnings():\n", " warnings.simplefilter(\"ignore\")\n", " x,y,u,v, mask=process.WiDIM( frame_a.astype(np.int32), frame_b.astype(np.int32), mark, min_window_size=16, overlap_ratio=0.0, coarse_factor=2, dt=1, validation_method='mean_velocity', trust_1st_iter=1, validation_iter=1, tolerance=0.7, nb_iter_max=3, sig2noise_method='peak2peak')\n", "\n", "#display results\n", "x, y, u, v = scaling.uniform(x, y, u, v, scaling_factor = scaling_factor )\n", "\n", "tools.save(x, y, u, v, mask, '2image_00.txt' )\n", "\n", "tools.display_vector_field('2image_00.txt',widim=True,on_img=False, image_name=os.path.join(path,'../test2/2image_00.tif'), window_size=16, scaling_factor=scaling_factor, scale=200, width=0.001)\n", "\n", "#further validation can be performed to eliminate the few remaining wrong vectors" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "jupytext": { "text_representation": { "extension": ".py", "format_name": "percent", "format_version": "1.3", "jupytext_version": "1.4.2" } }, "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.7" } }, "nbformat": 4, "nbformat_minor": 4 }