{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "scrolled": true }, "outputs": [], "source": [ "#Run the new window deformation" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "from openpiv import windef\n", "from openpiv import tools, scaling, validation, filters, preprocess\n", "import openpiv.pyprocess as process\n", "from openpiv import pyprocess\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": 2, "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", "settings.deformation_method = 'symmetric'\n", "\n", "'Processing Parameters'\n", "settings.correlation_method='circular' # 'circular' or 'linear'\n", "settings.normalized_correlation=False\n", "\n", "settings.num_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, rectangular windows are arrange as [y,x]\n", "# The overlap of the interroagtion window for each pass.\n", "settings.overlap = (34, [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", "# use vectorized sig2noise and subpixel approximation functions for speed\n", "settings.use_vectorized = False\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": 3, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Image Pair 1\n", "C:\\Users\\Research\\miniconda3\\envs\\OpenPIV\\Lib\\site-packages\\openpiv\\examples\\test1\\exp1_001_a.bmp C:\\Users\\Research\\miniconda3\\envs\\OpenPIV\\Lib\\site-packages\\openpiv\\examples\\test1\\exp1_001_b.bmp\n" ] } ], "source": [ "windef.piv(settings)" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "#Run the extended search area PIV" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "image/png": 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vWwk36I3zkkvs2h840L5TcPx4GDlSRcuCkhK1AWDOHLub6Kmn2nnbXbvqDby2VpeFevptUf+3iHRARfunIYQnAEIIG3I+/x7wdPK2AhiU8+cDk215J/V4rRBRG0aNsrUjZdaspvHEWdK9O1x/vYavrLjpJjjySLv2Y+DQQ+Gee2zDNaefDs88Y/v0cfLJ2t9gQZ8+Gttet05DZ4Vir8ItIgJ8H1gcQrg/Z3u/EEKaj24W8Gay/hTwMxG5H+gPDAFezqvVCeecU4i97hszZmhsNQZKS9Xzs+COO2zaTRkyxLb9WLC+Jk4/XZ/ArM5DsJ+1OXYsvPwynH9+4dpoicc9HpgDvCEiC5JtnwcuEZHRQABWAJ8ECCEsEpHHgbfQESnzQwgFifRY9ZzncuaZ9sMBY8ByzKwTD2VlhfU0i4GxYzW+XshiyRIimDdeVlYWysvLrc1wHCcPxDC3wZKnnlLhbm3oUEReDSGUNfeZ4Rwvx3EORNqyaANMn1742bNFP+XdcRwnJrJIeeDC7TiOU2S4cDuO4xQZLtyO4zhFhgu34zhOkVHUwn3PPXDbbbY23Hab2mHJ9dfDd75ja8OsWZqdzpILLoBf/MLWhnPO0cRjlowcCW+8Ydd+CJoKIsv0wruzfbsmn6ustLNh82adzZsWdsgnRS3c1dWakcySDRvUDkvWr9eTxJLXXtM8DZasXq0XrCVr1mhRByuqq7Uij2UJtffeg3fftS0dtny5Tjvv2dPOho0bYcWKwhT4KGrhbt/eLlF6SmOjbckuUA+nneEvWV+vOcmt0uumxPBbWI9hXr4cOnduqohkQUWFJl2zLB22bJmej5bnQ3W1OjOFSLFb1MJdUmJb3w9ULCxFE+xnqq1dqzfQQYP2/t1C0tBg/1uAbRHr5cv18dzyfKiogAEDbG1YvhyOOsqufdAQSY8ehdl3BKf5/hOLx20tFtY2rFypj+ZW+ZdTGhri8LgthXvZMnvBSoXbkhiOQ3V14Z46il643eO297hXrYLDD7drPyUW4bZk2TL79LYVFbbZAaHpycMS97j3QEmJvccdg1g0NtoKxsqV9vFtiOMmCvahEmtP0z1uxT3uPeAet2LdORmLcMdwE/VQiY6ssRTuEOLxuF24m8GFW/FQiRKLcFvR2KjDz6wFy9rjrqrSQsXWN7Dqag+VNEsMoZIYhNvahlg87hiGA4Kdx712Leza5cK9bJkKpuVwRHCPe4/E4nFbi4Wlxx1CPMIdw3BAS4972TId3VOICR8tZccOFSzLzskYwiTgHvceicHjjkEsLD3ujRt1tqKHSpqw8rhj6ZgUsS0rGEOcH9zj3iOxeNzWwm3pca9cqeO3LacWp8Qg3JadkzEIVkWFztosxGzBluIed+TEItzWYmEp3KtWaZjEevwyxPFbWIdKrAXLekQJxHEDA/e490gMoZIYPG5LG1aujCNMAnGErcBDJdbCHcNxAPe490gsHre1WFiHSmLomAT7UMmDD0JNDfzhD/rKks9+Ft55R7NErliRbdu5WM+arKvTp0DrJ4+dO/XlHnczxJCrJAYvz/LmkYZKYsBauFesgL/9DR55JPuEW6+8ouOX774bDjss27Zzsfa4V69WR8b6nExTPbtwN0Ms2QGt46rWHncsoRLr3+Lcc3U5ciQMHpxt28OH6/Laa+2Sfd19t964tm6FN9+0sWHZMr1xlJbatA/qQGzapOdioXLUF7Vwx+BxW4dKQmia8m4RW40tVGL5W5xyio6u+chHsm/7uONUrObPz77tlCVLtIjDP/2T3eSXGDomFy2CT3xCR9Zcf31hNGqvp7mIDBKRF0TkLRFZJCI3JNsPFZFnRWRJsjwk2S4i8i0RWSoiC0VkbP7N1rJIq1bpTLFnnrERrc9/Xh8Nn3jCrlzVjTdqZ8yjj8KvfpVt2zt26ON5LB63daikfXuYPt1GuIcPh8svty2gMHq0LmfNsgmX/Ou/wn/+p3q5L7yQffspI0boE8fOnXo+FuKcbIl/Ug/cEkI4DhgHzBeR44BbgedCCEOA55L3ANOAIclrHvBQ3q1GZ4dde616fA8/bBMq6NxZRfPXv4YxY7JvHzSWumYN/PGPMH58tm2vWqUnpfUoghTrUAnAlVfCuHHZt3vccXDzzdm3m0sq3NddZ9N+aSn813/py7KUX0lJ0zkwd25h2tircIcQ1oUQXkvWtwCLgQHADODR5GuPAjOT9RnAj4PyF6CHiPTLt+F9+zYdnGnT8r33lnHOObo85RQ7Tye14bTTsp0Es2uX3jQHDFBP05LaWrjzTvW4f/hDvaFYMXGizc2jf38Vb0tGj4bjj4czzrBpP/3/jzmmqb/BivHjta+jUA7dPkUERWQwMAZ4CegTQliXfLQeSKVrALA658/WJNt239c8ESkXkfKqqqp9tRvQRzKwE+7Ro/UGMmOGTfsAxx6rMb3zzsu23V/+Er7wBY0pP/BAtm3vTmkpvPiihst+9jP7EmptlYMPhnvvtesoTztob7zR/slr/Hj1tgt1LFos3CLSDfgFcGMIoSb3sxBCAPYpyhxCeCSEUBZCKOu9nyWpZ85U4cq6Bz+lXTu9aVgKt4h63VkL93HHQXm5DoE76KBs226O6dN1OXNmHLM42ypnnWXXdvfuMGoUfOxjdjaknHwyXHZZ4fbfIuEWkQ6oaP80hPBEsnlDGgJJlpXJ9gog1+cZmGzLO0OGwOc+V4g9t5wbboBhw2xtuP56PRZZMnSo9pr37AmXXppt282RK9xO2+Wb3yzcELx9oVs36Jf3AHETLRlVIsD3gcUhhPtzPnoKSEPvc4Ff5my/IhldMg7YnBNSyTuFCv63lFGjbNuH7EUbVLSHD4drrtFOWmuOOw5OOAHOPNPaEseStvL7t6RbaTwwB3hDRBYk2z4P3AM8LiJXASuBC5PPngGmA0uB7cCV+TR4d6xnLbZlxo7VkT0xIALf/rZtVjrHyQoJlgXyEsrKykJ5ebm1Gc4+smSJjbfvOG0BEXk1hFDW3Gfurzr7jYu249jgwu04jlNkuHA7juMUGS7cjuM4RYYLt+McYEQw3iAKGw5kilq477oLPv1pWxtuu01fllx+uVZfsWTOHPjud21tmDEDfvITWxtOPdUuUyRovpa+fTUvthV1ddC7t20lnhDUhnfftbNh507o1UsziOYb4/RAraOuDjZutLWhsRHef9/WhrVr7XMz1NY2Vf2wYvt22LLF1ob1622n3C9dqteEVRoI0IyZmzZp4isrGhrgvfdsr4uSEtWGurr877uoPe5OnVQwLOnWTSt+WLJ5syb4saRTJ/UwLOnYUbMWWrJzp+1M0r/+VWe0dupkZ8OSJVrzsWNHOxvS88DShvSmYVJIIWZiEAsXbiWG36K01F64d+ywFc0FC5ryYlvxzjuay8aSGIQ7ndXtwr0bMYiFC7fSubP9bxGLx20t3FZFPVJiEO70SdxSuEG9bhfu3SgttRcLa+EOIQ7h7tRJvU1LOna0DZ2FYBsqCUFDJe5xx+FxQ+EKmhe1cHuMW4Wiri4O4ba+iVp73Om5aOVxr18PlZX2GSvfecc+HUJ6HlgnHStUQfOiF25rsbAW7rS2ngu3fYw7/f+tPO4FC+CII+DQQ23aB9i2TWugxuBxF6pQ777goZJmiEEsYhDudu3UDks6d44jVGIp3On/b+VxxxAmWbpUb6DW5eN27bIPk4ALd7PEJNxWM8U2b9bSYdblumL4Laxj3On/byXcMYwoSVP9WufJj0m4Pca9G6WlccS4Gxrs7Kiutg+TQDzCbe1xt29vV/XeR5Q0EYtwe4y7GWIQizREYRUuiWFECcQxqiSGGLeVt71li3q71h63C/cH8VBJM8Qg3Glh0rYu3D6O23Yo4MKFcMghcPjhNu2nuHB/EA+VNEOnTvoDNTba2dCxo77aunDHcBO1jnFbzppM49vWfR0xDAWEuIS7EB53USeZKi3V5a5dtrPVLEeWuHA30VY97poa+xElGzbAG29oUqWjjtK5BZZjqGtrD2zhLnqPG+wFw4XbY9xg53FffTU88wysWwcvvZR9+wDdu8PUqbo+a5a95x+Dx71xo3ZO7tqlmQrziQt3HnDh9hj3iy/C889rPDPrnOBdu6poP/88jBiRbdspXbrAgAG6Pneu3cga0E7a6mq9kVvm4547F1atgiuvhGXL8rvvA0K4a2vtxlF//euaB/p734Nf/zr79mMR7jRUYln5xDLG3bcvPPQQvPUWvPlmtm2ngnnbbbYTsYYM0eIFV15pZwNo4YJPfxpeeQW+9jU7O6ZO1aewDh2grCy/+y5a4a6thfnzdf2aa2DlSjtbVqzQR9Wsc0T86U8q3F27FqbKxr6QexO1wtLjHjoUBg7U9YsuyrbtAQP0dc012ba7O0OGwI032uYjB61C1KmTxtnPP9/OjpkzdXnWWfmfkFS0wl1a2lRx5e237Sp+XHyxLo85punCzYqHH4YXXoBbbrEtE1VTA1VVuv7qqzaVcDZtUs9m1y7NlZE1IvDhD8PRR2c/CWbAAPjSl2w76AFOPBGuvdbWBtAb+MSJOqP4wx+2s2PQID0m06blf997FW4R+YGIVIrImznb7hSRChFZkLym53x2m4gsFZG3ReSs/JvcxAUX6NLyxznySL3DT5iQfdunnabLgQPVBiu6dtV6j6AdUwcdlL0NFRVwxRV6A5s7N/v2ASZPhgsvzL5j7sQT4eMfz7bN5rjySujRw9oKZepUOPfcppFnVpx/vnrc+aYlXQg/Ar4D/Hi37Q+EEP45d4OIHAdcDIwA+gO/F5GhIYQCDIiB6dP1sWzKlELsveVceqlNnPn003U5Z45tL35JiT4Wfve76ulY5KkYMULjq5s22dxEQYV75Mjs27Ws7ZiLdQrVXKZOzf4JuDmuu05H3OSbvV5iIYT/AVpakncG8G8hhNoQwnJgKXBSK+z7h3TtCuedB5MmFaqFlnHhhSpYWXPssSpWc+Zk3/buXHihLidPtmlfBGbP1vV0WFrW9OtnP+XcUYYOhXPOsbaiMKINrYtxXyciC5NQyiHJtgHA6pzvrEm2/R0iMk9EykWkvCoNkO4HX/4y9Oy533+eF3r3burZzxIR+NznNK5qzfjxKlyWYavZs3Xad7578J3iQ8R+HHch2V/hfgg4GhgNrAPu29cdhBAeCSGUhRDKevfuvZ9mwLBh+/2nBwQ33GBtgVJSojeRo46ys2H0aJg3zz55vuMUmv0S7hDChhBCQwihEfgeTeGQCiA3hfrAZJtTIGKKK153nW37IvDFL9ra4DhZsF/CLSL9ct7OAtIRJ08BF4tIqYgcCQwBXm6diU6xYDlbLsW6EpDjZMFeLzUR+TkwAeglImuAO4AJIjIaCMAK4JMAIYRFIvI48BZQD8wv1IgSx3GctooEyznKCWVlZaG8vNzaDMdxnGgQkVdDCM12tRftzEnHcZy2igu34zhOkeHC7TiOU2S4cLeSQlS3cPYfyzJ2oGlt/Zyw/x3ANsVwoSlq4b79dvjEJ2xtuOQSuPdeWxsuvBD++Z/3/r1Ccu65mqvEklmz4NvftrXhrLPgRz+yteHoozVrpBUNDTos85137GxIS5etXr337xaKzZt1nkVlZf73XdTCXVoKW7bY2rBihSbRt2TLFvvpvZZ5uFN69bK9UAEOO8w2xS5oQQuLRF8pGzZoAYF+/fb+3UJRVaXViCzTYWzfrjZ06ZL/fRe1cHftCtu22dqwYoVdLvCU7dv1WFjS2Gg/1XzgQHvhHjzYXrjr620nQ61erdkyC5VgqSVUValgFkI0W8r27bp04d6Nrl3taj2C3jSqqjQntyXbttmeoKCPx5ZeHmjieosiCrm4cKtwDxq09+8VkqoqTf5mybZtWtyiENdFUQt3t262HvfKlRrDsnwkBL2zxyDc1h73oEHucYMLN8Qh3IW8LotauK097hUr4PDD7QUrBuGOJVSydq3tqI7Bg7Uaj1XtS3DhhniEu1AhzKIWbmuPO4b4NugxsI5xxxIqaWiA9ettbQBbz9+FOw7hLmQIs6iFOwaPOwbhdo9b6dZNax5aimZpqZYSswyXuHDHIdweKtkD1qNKli+3F+4Q4hDuGDxu8JEljY36cuHW4aGWuHDvgW7dNJZYV2fTfgwe986duowhVGLtcYN3UKbxfavfoq4O1q2LQ7itPe5ChjCLWrjTg2Lldccg3On/bu1xxxAqAR8SWF+vSyuPe+1afQq0rrAeg3C7x70HLIV761Z47z174S7kIP99IZZQSSwe98qVNm1bC/fq1SqYnTvbtJ/iwh0xnTtrnUGLDsqYxnCXlNhPeY8lVGId4w6hyeNetiz7ZEsxCLd1mKSuDjZtshduD5XsARG7DspYxnCnQ45EbO3wUImyahXcdpvacM452T+FuHDD++/r0lq43eP+B3TrZuNxxxDfhjhGlEBcoZJ165oELGuOOEK9/hBsUiG4cGuYpEMHOOggWztcuPfA0qXqca9YAUuWZNu2C/cHiSlU0tionWRW3HSTLkeMyLbd2tqmEVYlJTY3r1Wr4hDu3r3tn0J95uQe+MxnVEDnzs12SGBjYzzCHcOsSdBjYu1xNzbCb3+rntY3vgGvvWZjx+mnw9ix2Qv3li1w9tm6PnVq9vH122+HxYs1D/WiRdm2nfLSS/CHP+gY7ldesbEhxWdO7oFLLlFP77DDYPjw7Nr91Kf0pFi+HF5+Obt2m8M97ibatYMnn4SaGnjwQbusjSLqdWct3L16NYUHBg3KvsN62TJ98r3vPr0mLSgpgTvvhIULbQtaPPEEbNyo5+Ibb+R//0Ut3Oeeq97mhAnZPhaFoKNKHnsMhg7Nrt3msBbuEHQSVNo5aRVbTrn+el0OGgSHHGJnx4UXwsiR2bebetyzZmXf9gkn6PLii+06Bk84QdMOgG11rOefhz//WW8ihUh6VtTC3aULzJgBEydm227qSX3845obwxLrIgoicN55Ovzq+uvtHpFTPvQhGDeuSUSs6NjRZizztGkqXNOmZd92eszTm6cFHTvCmDEaqhozxs6OSZN0OWwYjBqV//0bZjTID5deqjX2smTECBWsG27Itt3d2bKlKY5mmVjo2GM1trx5s71gQhw3ECvKyjSE2K1b9m2PGgXjx8OJJ2bfdi4nn6znpCVnnqkacfHFhYkGFLXHDdoJM2xYtm2OGKGeftY3jN354Q/h4YfhL3+BO+6ws2P6dF3OnGnfkw8we7YW7W2LlJTAPffYtN23L3zlKzZt5zJxot68LOnZU29kF11UmP3vVbhF5AciUikib+ZsO1REnhWRJcnykGS7iMi3RGSpiCwUkbGFMbuJDh2yF4u+fTV2Zc2ECTrRY/XqptimBWec0RS2ioGOHdWmtkqfPjbtijSFCCw57zyteWnNzTcXbtBESzzuHwG7y8KtwHMhhCHAc8l7gGnAkOQ1D3goP2bGhUhh4lb7ysiRemcfMEAfUa3o1AkuuECHwTmONTE89QFcfnnh9r1X4Q4h/A+wcbfNM4BHk/VHgZk5238clL8APUTEOJvHgUu7dvpYeNFF9mOov/512xzQjhMbhbyB7O+l1ieEsC5ZXw+kD2cDgNwUP2uSbevYDRGZh3rlHH744ftphjNpknZIWWOdbMtx2hKt9tNCCAEI+/F3j4QQykIIZb2ts8EUMbNnxyHcjuNkx/4K94Y0BJIsK5PtFUBupoKByTanQMSQk8FxnGzZX+F+CpibrM8Ffpmz/YpkdMk4YHNOSMVxHMfJA3uNcYvIz4EJQC8RWQPcAdwDPC4iVwErgQuTrz8DTAeWAtuBKwtgs+M4Tptmr8IdQtjTUPbJzXw3APNba5TjOI6zZ4p+5qTjOE5bo6iFOwTN12FJY6NdlflcGyyqAOVSX59tTvTm2LFDzwlLtm+PwwZrYrBh507b3yKEwp2TRS3c998Pl11ma8MXvwjXXWdrw2c+A5/9rK0NH/0ofOtbtjacdpqm2rXk2GPhuedsbRgwQAsKWNHQoFPO337bzgbQNAxZV8bKpaZGbaiqyv++i1q4hw8vTJLyfeGoo2xPDtCkV6+/bmtDaamWzrKkuto2zW5jo9a77N/fzoYdO/Q4WE6IWr9en8AGDrSzoaFBPV3L2bw7duiyEOl9i1q4jz9eS4hZhkuGDLEX7hNO0BtY1qWqcunY0YW7slIFa8AAOxvWJYNv+/a1s2H1ai1iYZknPg3bdehgZ4ML9x4YOFAfyd58c+/fLRTHHKMXbE2NnQ0jRmhMcflyOxusPe4Q7IW7okLzYFtWF1+7VidlZV22LJcYCgbHItzt2xfG6y9q4RZRr9syXNK/v8axli61s6FLF/X8Fy60s6G0VEuYWbF1qz5xWJYrW7NGvW3Lmaxr19qGakA9bhduFe5CVUEqauEGe+EWUa87hnCJtXBbetzV1bq0zMNcUWEbJgEVbuuEXzEId1r71IU7UqyFG1S4LT1u0Pzglh2UMQh3p076siIG4bbuHIU4hDv1uK07J12490Aq3JbjNWPpoGzrHrd14eaKCtuRFBBPqMQ6U7OHSiJn5EjYuLGpN92CGIR71Ch49127ETYu3HF43LEIt3vcLtz/kB499CSxDJfEECoZNEiPhdUIG2vh3rTJhRvsY9y1tTqOOwbhbt/etqPYhXsvWMe5hwyxHxIoouESqzi3tXDH4HGno0ossY5xVyTZ962PQ329fSk9F+69YC3c/frZT68F2zh3WxfuLVv0ZRnj3rYNNm+2Fe7Vq7XKfGmpnQ2gHrdlfBtcuPeKtXCnQwKtwyWWI0vaunBXVEBJCRx2mJ0N69bpudinz96/WyhiiG+DC3dRcPzx8NZbTWM3LYihg9Jy6rsLtz55lZTY2ZDOmrQULBfuJly498KwYSralh5vDJNwRo7UGYQrVmQ/PLItC3cIcXRMWse3IR7hrq934Y6e0lIVb+sOSutQyWuvwRFHwO23w+9+l23bbVm4f/Qj+OlPdf3xx21s+OMfdURR//4qnhZUVsYxhruqSnNxt2+vo40s5ngsWKB9Dp06wbJl+d//ASHcYBvn3rxZvYwlS+BnP7ObDPTMM+pt//Sn0LNndu1u2aLeTW0tbNiQ/f//+usq3N27w/vvZ9s2qFj+7neaA9sqXLd6NXz1q/Dss/CDH9jYcM018Ic/wL//u9phRUUFXHKJPoFceqnNkMDf/Aa+9z148MHCHIsDTrj/+tfs225s1IIOVVXwla/YjR295RYVL8h2dENFBVxxhY7fveCC7P//W2/V0TSf/KQOycua0aN1edhhcP752bcPMGaMLhsb4ROfsLFh6FB1YlavhgkTbGwA7aTv3FkdialTbWyYPFl/i8bGwpwTB4Rwv/gi/Md/qMf5hS9k3/4hh6hwgZ68VvTsCTfdpN5vlqMbjj0WevXSDqFTT82u3ZTx4zVx/tFH60WbNX36aP7refPshsENGaL5r2fOtIu1n3CCLj/1Kdv4skiTYH/0ozY2jB2robvJk/XayDcHhHCfcYb+WLt22cXXbrpJY2rDhtm0n2vH8cdDu4x/2dmzdTllSrbtgpYsg6abpwVlZerxW1FSojeta6+1s+GEEzQP+Lx5djaknH02nHii9vlYUFKiTx0XXVSY/R8Qwi0Cd96p61Y/1MCBGi6xFu4ePbQWZ9bMnq2Pp+PHZ9/2SSdpJ5Bl/dEvfck+wdSll8LEiXbtDxsGc+fajmVPmTKlyZmwYvp0mDWrMPuWYF2SGigrKwvl5eWt2kcI6vXcfLPdBbxokSa8Ov10m/YtCUFj7BY3DYC77lLxbMs0NNiOIwft5+nd29aGlC1bmvp8LNi1q3WViETk1RBCWbOfHSjCDfCrX6nHaSmcjY3ZhylioabGrmzXzp22ubgdJ9/8I+FuVRoWEVkBbAEagPoQQpmIHAo8BgwGVgAXhhA2taadlvKRj2jtRUvaqmiDba1FF22nLZEPmZkYQhidc2e4FXguhDAEeC55nwkitpWlHcdxsqAQ/uEM4NFk/VFgZgHacBzHabO0VrgD8DsReVVE0kFAfUIIaT2a9UCzucpEZJ6IlItIeVVVVSvNcBzHaTu0NtX4aSGEChE5DHhWRP6W+2EIIYhIs72fIYRHgEdAOydbaYfjOE6boVUedwihIllWAk8CJwEbRKQfQLKsbK2RjuM4ThP7Ldwi0lVEuqfrwFTgTeApYG7ytbnAL1trpOM4jtNEa0IlfYAnRTMKtQd+FkL4jYi8AjwuIlcBK4ELW2+m4ziOk7Lfwh1CWAb8XUqfEML7wOTWGOU4juPsmaKeLlJba5N/OZddu3SaryXV1fYTj2pqNHG8JZs329tQXa2VTyzZsEGnv7sNtjaEoMUlCpGjvaiF+7777DORff3rthnZAK6+Gr75TVsb5syBhx6ytWH2bHj00b1/r5BMnQpPPGFrw9Ch8Oqrdu03NmrCrbfftrOhrk5T7a5aZWdDY6Om/F2xIv/7LmrhPvJIWL7c1oaxY7VkmCWtTWaTDzp3tvc0e/RQj9eS7t316cOKrVu1fcvak5s2qZdpWW1+yxZdWqZhKCmBbt0Kcz4UtXAfdVQcwr1smZ6sVtTWunCDFrSwFu6DDmoSDQvWrdPUD3372tlQWamidcghdjakYmmZHRD0fHDh3o0jj9QL1VI0+/fX/MMWJdNS3ONWYvC4C3WhtpSKCvV027d2al0r2LBBrwnLhGs1NZp4zPq6OPhg7XvJN0Ut3L17Q5cutl63iFbasAyXuHArMQi3dahk7VrbMAk0CbcllimGc3GPuxlE1OtetszWjrFjbTuDXLiVGITbOlSydq1dzcmUykrb+DbEI9zuce+BGOLc7nG7cKfEECpxjzse4XaPew/EMrLknXfsLlgXbiUG4fZQiXvcubjHvQdiCJUcfjj07AkLFti078KtxCDcHipxjzsX97j3QAyhEhHbOLcLt9Kjh44wsiyjah0qcY9bqamxHwoIhfO4oygWLCJVaEKqA5lewHvWRkSGH5MP4sfj72nLx+SIEELv5j6IQrjbAiJSvqeKzW0VPyYfxI/H3+PHpHmKPlTiOI7T1nDhdhzHKTJcuLPjEWsDIsSPyQfx4/H3+DFpBo9xO47jFBnucTuO4xQZLtyO4zhFhgt3nhCRH4hIpYi8mbPtUBF5VkSWJMtDku0iIt8SkaUislBExtpZXhhEZJCIvCAib4nIIhG5Idnelo9JJxF5WUReT47Jl5PtR4rIS8n//piIdEy2lybvlyafDzb9BwqEiJSIyF9F5OnkfZs+Hi3BhTt//Ag4e7dttwLPhRCGAM8l7wGmAUOS1zzAuOhXQagHbgkhHAeMA+aLyHG07WNSC0wKIYwCRgNni8g44BvAAyGEY4BNwFXJ968CNiXbH0i+dyByA7A4531bPx57J4Tgrzy9gMHAmznv3wb6Jev9gLeT9X8FLmnuewfqC/glMMWPyf/9f12A14CT0ZmB7ZPtpwC/TdZ/C5ySrLdPvifWtuf5OAxEb+CTgKcBacvHo6Uv97gLS58QwrpkfT2QZnAYAKzO+d6aZNsBSfJIOwZ4iTZ+TJKwwAKgEngWeBeoDiGktcBz/+//OybJ55uBnpkaXHj+Bfgc0Ji870nbPh4twoU7I4K6CW1u7KWIdAN+AdwYQvhA+qW2eExCCA0hhNGop3kScKytRXaIyEeAyhCCYRmS4sSFu7BsEJF+AMmyMtleAQzK+d7AZNsBhYh0QEX7pyGEJ5LNbfqYpIQQqoEX0FBADxFJq0Tm/t//d0ySzw8G3s/W0oIyHjhPRFYA/4aGS75J2z0eLcaFu7A8BcxN1ueicd50+xXJSIpxwOac8MEBgYgI8H1gcQjh/pyP2vIx6S0iPZL1zmjMfzEq4LOTr+1+TNJjNRt4PnlKOSAIIdwWQhgYQhgMXIz+f5fRRo/HPmEdZD9QXsDPgXVAHRqXuwqNvz0HLAF+DxyafFeA76LxzTeAMmv7C3A8TkPDIAuBBclrehs/JicAf02OyZvA7cn2o4CXgaXAvwOlyfZOyfulyedHWf8PBTw2E4Cn/Xi07OVT3h3HcYoMD5U4juMUGS7cjuM4RYYLt+M4TpHhwu04jlNkuHA7juMUGS7cjuM4RYYLt+M4TpHx/wH7zKV9B4J/XAAAAABJRU5ErkJggg==\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "\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, \n", " search_area_size=64, 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", "x, y, u, v = tools.transform_coordinates(x, y, u, v)\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": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "jupytext": { "formats": "ipynb,py:percent" }, "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": "3.8.5" } }, "nbformat": 4, "nbformat_minor": 4 }