{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# OpenPIV tutorial 2\n", "\n", "\n", "Demonstrates the use of the multiprocessing run" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "lines_to_next_cell": 2 }, "outputs": [], "source": [ "from openpiv import tools, scaling, pyprocess, validation, filters\n", "import pathlib\n", "import numpy as np" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "\n", "def func( args ):\n", " \"\"\"A function to process each image pair.\"\"\"\n", "\n", " # this line is REQUIRED for multiprocessing to work\n", " # always use it in your custom function\n", "\n", " file_a, file_b, counter = args\n", "\n", "\n", " #####################\n", " # Here goes you code\n", " #####################\n", "\n", " # read images into numpy arrays\n", " frame_a = tools.imread( path / file_a )\n", " frame_b = tools.imread( path.joinpath(file_b) )\n", "\n", " frame_a = (frame_a*1024).astype(np.int32)\n", " frame_b = (frame_b*1024).astype(np.int32)\n", "\n", "\n", " # process image pair with extended search area piv algorithm.\n", " u, v, sig2noise = pyprocess.extended_search_area_piv( frame_a, frame_b, \\\n", " window_size=64, overlap=32, dt=0.02, search_area_size=128, sig2noise_method='peak2peak')\n", " mask = validation.sig2noise_val( sig2noise, threshold = 1.5 )\n", " u, v = filters.replace_outliers( u, v, mask, method='localmean', max_iter=10, kernel_size=2)\n", " # get window centers coordinates\n", " x, y = pyprocess.get_coordinates( image_size=frame_a.shape, search_area_size=128, overlap=32 )\n", " # save to a file\n", " tools.save('test2_%03d.txt' % counter, x, y, u, v, mask)\n", " tools.display_vector_field('test2_%03d.txt' % counter)\n" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "../test2\n", "2image_*0.tif\n", "True\n", "[PosixPath('../test2/2image_00.tif'), PosixPath('../test2/2image_10.tif'), PosixPath('../test2/2image_20.tif'), PosixPath('../test2/2image_30.tif'), PosixPath('../test2/2image_40.tif'), PosixPath('../test2/2image_50.tif')]\n" ] }, { "data": { "image/png": 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\n", 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lyPbtweV6ADlyiP0vNc4Ewm4bjn+VVMKyesM4PN92JpDabwyGBdv5jaNI4/kToWEYScFKwDBCTr1KwDmX5px72Tm31Tm3xTmX6ZxLd87Nd8594v3bwXusc8497JzLdc6td84NT+5TMAzDD/U9E3gIeFtETgGGAFuA24CFItIXWOjdBpgC9PUuM4HHAx2xYRiBctgScM61ByYATwGISI2I7AemAU97D3sauMi7Pg34h/dXiVVAmnPO75dqG4aRJOpzJtAbKAD+7pz7wDn3pHOuNdBFRLxPX7AHiH8Le3dgZ52f3+UtMwwjBalPCTQFhgOPi8gwoJyDp/4AeB9EaNAHDpxzM51zOc65nIKCgob8qGEYAVKfEtgF7BKRbO/2y2gp7I2f5nv/5nv35wE96/x8D2/ZVxCRJ0QkQ0QyOgfxIX7DMBLisCUgInuAnc65/t6iicBm4DVghrdsBjDXu/4aMN37K8EYoKTOywbDMFKM+n5i8EbgWedcc+Az4Bq0QF5yzl0LfA5833vsm8BUIBeo8B5rGEaKUq8SEJEPgW/+7yM9K/j6YwW4wd+wDMM4UtgnBg0j5FgJGEbIsRIwjJBjJWAYIafRlEBpaXJyKyqSk5ssGW7SLMbJmojy8uTklpUlJzcZG5qI6tJSNDdlpSJxSegbb6jOrWNHtQIH4QisrFSX6bJlKhsNKhdUEff44+oJufvuYDIB9u+Hhx9WZd5ddwUUGo3Cm2+qhbVPH5g1K5jcoiJ1EH74oVqBr7/ef6aIOghfew327oVhw+CaAP76XF2tIs9Fi7QIx4yBK67wn7trl2Z+8IGOPQArMKAb2MKFKksVUWPu+ef7ikwZvdjKlTksWqR+zSVLdN2ceipMnerPBwmaKaLr5K23VA56wQXqbvRtBfbYvBmefBI6dIAf/xiOOy6Y3PJyeOwxdWTeeCOcdFIAoZ98As88o80ydapKN/1aUuNa9KwsSEuDSy6B007z1661tapZf+stnYjBg3XFHX+8v7Fu366ZW7dCixa6g551VmIiTxF9jgUFuuGuXq26uB494OyzVWqayNzGc/PzD+ZGo3DCCZp72mkN3nhT2jY8eHCGdOqUw0cfwRNPqGC3ZUv/uSJ69Hz7bejXT0vzvPN0vQeR7ZzajJ99Vg+kP/qRCniDoLpa5+Ljj9WaPGCAj7DCQp3Ql19WlXvfvnD11f6c69Go7kQ7duiZRLNmqhn341sXgeeeU8Pu0qV6e+xYXWl+JnbLFvjHP3SFlZfDiSeqIvqUUxIvqcJCuP12dbmnpR1UgY8c6U8xXlSkX1hRVqanv507H8z1qaFLbdvwiBF+RaqHZPFikbvuEnnuuWBzy8tFrrhCZOZMkb/9TaS6Opjc2lqRSETkySdFrr9eZO3aAEIXLRLp0UPkxz8WWbkyGKPz9u0iY8eKdO0qMm9eMNrlsjKRm24S6dtXVclBqZzXr9eVNWOGSElJMJnRqMgzz6ghOysrmEwR3QCee07k978XWbo0uFwPzDYcDNEo/P73eiD40Y/0JW8Q7N+vL3E7d4YZM/QA6JvKSj0NSkvT11ZBvUbZu1eP0m3a6Cl0UG+oGEklpV8ONKYSSAbV1fDf/60vgX/yE/9f3GMYh8KU4ylMixZw771HexRGWGk0nxMwDCM5WAkYRsixEjCMkGMlYBghx0rAMEKOlYBhhBwrAcMIOVYChhFyrAQMI+RYCRhGyLESMIyQYyVgGCHHSsAwQo6VgGGEnMZTAgcOJCW2sdmGa2qSk5us+WX//uAzRdTqkozcffuCz62tVVdgiuamtk8gFoPFi9Uwm5am5o2AzKClpeofLCuD3/0uODmOCLz4IuTkwH33BSvd2bAB/vIXeOSRgHKrq3VulyxRieFPfxpAKGpFffFFyM2FoUNVweSXSEQlpvPnqycwKCvw7t2wYMFXrcAXX+wvs7IS1qzR8RYU6DY7caJKXf3mrl59MLdJE/UvTprkKzY1zUK7d6sYcscONatecIE/eWMd4gLP3Fzd5vv2DSQWUOvWPfeovPeii4LLBbVMv/WWqs18+iZVjfzss3oadOGFcMYZ/ss1rhlftw66dYNLL/U/uUVF+qTXrNENftw4ndw2bRqeFYloRmWlSkyXLdPrxx+vZtthwxpuBRaBbdugfXu1Imdn65y2bAmjRqkjLhGlmwh8+qmqq+O55eVw7LEwerTmJiCJTX292O9+pwK/t97SJzh9OvTqFUh+NKr/Pvec2oFnztR1HhQi8NJLsGIF/OY3KokNkmee0V785S8TPAMoK4M9e9Svv3atHvWvuko3skQRgRde0OsrV+qZ2ve+508zLgJ//avmtWun45syRU27fkoqK0u9bRMmaO6ECXpp1SrxzLVr4eabdV5/+EPdMUeNSkxbXpd16zT30091Qx07Vnd8v7mkum24WzeRDh1E7r1XdbsBUlMjcsklIldfrfbhICkrE8nLE7nhBpFXXgk2W0SlvpdfLvKPf/gI2bJFZMAAkTFjRHJygrENl5SIXHutSO/eIi+/rJbcIJgzR+TGG1XhHBRlZbpynn1WJzQoIhGRwkKRbduCmdM4tbUi+/eL7NgRbK6kum14xAjJWbs2Kdl//7t+18TUqVqoQSECl10GxcXw/POqnQ8SET2wpqfrexcJH7Q2blSJ4XHH6WmrEVpS/+VAI7MNz5+vZ24XXqhfbBI0paX6xnrPnsFnG+HEbMMBc+65ekkWbdsG921GhvH/o/F8TsAwjKRgJWAYIcdKwDBCTr1LwDnXxDn3gXNunne7t3Mu2zmX65x70TnX3Fvewrud693fK0ljNwwjABpyJnAzsKXO7T8AD4jIyUAxcK23/Fqg2Fv+gPc4wzBSlHqVgHOuB/Ad4EnvtgPOBl72HvI0cJF3fZp3G+/+id7jDcNIQep7JvAgcCsQ8253BPaLiPeBXHYB3b3r3YGdAN79Jd7jv4JzbqZzLsc5l1NQUJDY6A3D8M1hS8A5dz6QLyKBfqRPRJ4QkQwRyeicwH+GMAwjGOrzYaGxwIXOualAS6Ad8BCQ5pxr6h3tewB53uPzgJ7ALudcU6A9kIT//G0YRhAc9kxARG4XkR4i0gu4HFgkIlcBi4FLvIfNAOZ611/zbuPdv0hS4bPJhmEcEj+fE/gVcItzLhd9zf+Ut/wpoKO3/BbgNn9DNAwjmTTo/w6IyBJgiXf9M2DUIR5TBVwawNgMwzgC2CcGDSPkWAkYRshpPCWQDFsrqLCxMeUmw4YLyZlfEfWiBU0sBnl5h39cQ4lGYdeu4HOrqtSXmYzcAMab2j6BwkKVV65fr3aNW28NRrNbXg6vvgqrVqnH8Be/CCa3rAxeflmNsP36waxZ/jNBhZivvqoSw4ED4YYbgsndu1c9gZ98otLFa689/M8cDhEVg77+OpSUqBX4yiv95+7ZA+++C++/r7fPOMO/FTgSUS300qU6F02aqBW4R4/EM2Mxnc/sbNVDR6Nqdpo0CU44IfHcuHw0O1ttNpGICk0nT/Y3XlLRLFRerhrsFSvUrXXJJTB4sP9fIqKG2blzdWV/97vqG/O788diKvCcO1eNyJdcAhkZwZTKBx/oTlpbq+PNzPSfW1YGc+ZoAXbpApdf7s8KLKJzkJWlktjKShWDfuc7iYtM9+1To/Dy5aqcLy1VK/CkSVpWiUhHCwv17KygQNdXQYFqmzMyVDratWvDMysrVV3dp48W34EDun769VPp6ODBiamhIxF48kno3Vtzi4o0t08fLdXTTksoN7X1YkOGSE5Ghqp0mjeHadN0g/erwa6pgQcf1EndvRvGj1cf2LHH+sutqoLHH9cdau9ePSpdcIE2sx9qa/XMZ98+2LRJN/jLLvOvGFq3TnfQPXv0qHTxxf4LsKRErbitW+s6GzdOj0p+rLgHDsCdd8K8eaosHzcOzjrL3/MXUQnkzTfrzvmzn+lOn4gKvC5FRfo9GDk5esY3eXIwDscDBzR3xQq47jpdVwHpq1PbNty5s8h114nk5/sVqh6kpERk5kyRCRNE1qwJLjc/X+SKK0QyM0U2bQout6BA5KKLRE48USQrK7jchQt1Dq6/XtXLQRCJiDzyiMhttwU7t3l5akResSJw67TU1opUVASb2cggpW3DjVA0Gji1tQ3/8gvDaADfdibQeP468O+OFYBxlLASMIyQYyVgGCHHSsAwQo6VgGGEHCsBwwg5VgKGEXKsBAwj5FgJGEbIsRIwjJBjJWAYIcdKwDBCjpWAYYQcKwHDCDlWAoYRcqwEDCPkNI4SEIHc3OTkbtvWuHI//zw5uckYb22tyjGDpqpKZZ5BU1oKH38cfO6+fcnJLSgIZL9IXdtwVRUsWQKLFun1U09V0WIQYtDsbHjjDfW5DRqkLrcgcletgjff1NyhQ1UU6RcRtS3/618qyxw5EqZP959bU6OW3fnzdX7Hjg1mvDt3wjvvqGm3SRM480xdb34oKVHn3sqVuqO2aAFnn+1PkFpTo/O6Zs3BQmnTRm3D/fo1LKu6WsdUUwNbt2ru5s26HKBTJ/VQNjQ3ElGhaDSqJbJuHWzcqOsrnjtxYsMyD0Hq6MXeeUftrW++qU+0ZUvdgM46y58YtKJCN8bFi2HhQl1RY8bA1Kn+xJCVlZq7ZImqsCORYHJra1WwumGDasYLC9Uue/HFutITpaxMi+rtt3WHiu+g55yT+Pzu3avz8NFHOg8VFaq/njxZyzWRYi0vh6eeUrtwTo7Oa/v2cPrpKp9NRDoqogbrOXOgc2fdqZo103kdNQpOPjmxsWZnqxT02GPhpJM0c8AAzR0wIHHx7KZNmltVBf3767rq1w+GDNGDYatWCcWmtm24bVu1DU+ZojvRqaf6PzJXV8Pdd+uR7owz9MgxcaI2th9qauC3v4UFC3TD9Lsj1eWll9RiPGhQMDs+QHGxmna3b1fb8pQpujP50ZnFYvC3v+n3QIwaBTfdpHPsxzQMakO+4w49it5zj85t8+b+MkHLZO5cLdc77wwmMxbTot65Uwsr45sS34QQUdX8jh1aWGPHBpNLqpfAgAGS88or+sUaQbF+vR6hWrfWDT+I7wEA/fKLzZuhXTvVjAeVu2mTbqjp6fryJCjn4OrVunOlp6vCOwhE9Agdiehtvzu/cURI7RIw27BhJB2zDRuGcUisBAwj5FgJGEbIsRIwjJBjJWAYIcdKwDBCjpWAYYScw5aAc66nc26xc26zc26Tc+5mb3m6c26+c+4T798O3nLnnHvYOZfrnFvvnBue7CdhGEbi1OdMIAr8XEQGAmOAG5xzA4HbgIUi0hdY6N0GmAL09S4zgccDH7VhGIFx2BIQkd0i8r53vRTYAnQHpgFPew97GrjIuz4N+Icoq4A051zXoAduGEYwNOg9AedcL2AYkA10EZHd3l17gC7e9e7Azjo/tstb9vWsmc65HOdcTkFBQUPHbRhGQNS7BJxzbYBXgFkicqDufaL/AaFB/wlBRJ4QkQwRyejcuXNDftQwjACpVwk455qhBfCsiLzqLd4bP833/s33lucBPev8eA9vmWEYKUh9/jrggKeALSJyf527XgNmeNdnAHPrLJ/u/ZVgDFBS52WDYRgpRn30YmOBHwAbnHMfesvuAO4FXnLOXQt8Dnzfu+9NYCqQC1QA1wQ5YMMwguWwJSAiWcC3mTO+ITjz3h+4wee4DMM4QjSOTwxGImr0CZpoVOWNQROJqNkoaKJRNRAFTXW1eh2DprxcFVxBU1ycnNw9e4LPFVG1WxLGW1Sk8iy/pKZtuLpatVjvvae65qZNYcQIGDbMn84rFtONfeFCVXc3baqOvCFD/I1XRC2zCxaoYrtpU/X4nXaav1yAvDyVg8btvePHq4PRD7GYltSCBbBrlzr3zjpL3YZ+KCqC5cvVClxRodqxs89ueI7IwfVcXQ0ffqjbw2ef6bL0dPUPNpS4vTeubn//fc0uK9P7jz9eXYkNHev+/dChg26rGzboJa6Gdw5OOCEQV2BeHixbBmvX6lPp0EGVnH5JDb1Y796S89e/6gZUXKwy0FGjYMIElS0mSlYWpKVp7pYtKpocNEg3zF69Es/dsEE3ppwc3ZBE4JRTVDjqR69dXKxK7U8/1aIqLYXu3dXeO3hw4gW4YYNuqFu36pnEMcdo8U2cqHbgRIhE4LHH1AS8ZcvBrXLcOBg9OnHv4KpVMHu22nqjUS2ooUN1e+jdO7E5KC2F++9Xk3V8Z+zVC4YP13lI1GD87rtw111q/x06VKWwgwbpujrhBJ3nBPniC3jlFY3etEl/XbduegwYPjwxV+q36cUQkaN+GdGypcijj4oUFkogVFaK3HGHSFqayI03imzaJBKL+c+tqRGZPVukdWuRq64SWbNGJBr1nxuLibz0kkiXLiITJ4rMmSNy4ID/3NpandcePXS8GzcGMw+VlSJ33SUyebLI00+LVFf7zxQR2btX5OGHRX79a5F9+4LJFBHJzRV57TWR558P5vnHKSkR2bBBZN264DJFZP16kWnTdFNYt05XYxAAOXKI/S81zgQao2i07ilrEFmlpXrkO+YYPXsxjID5tjOB1HxPoDEQVAHEs9q1Cy7PMBpA4/jrgGEYScNKwDBCjpWAYYQcKwHDCDlWAoYRcqwEDCPkWAkYRsixEjCMkGMlYBghx0rAMEKOlYBhhBwrAcMIOVYChhFyrAQMI+RYCRhGyLESMIyQkxJSkaIiWLwYamtVrlNb+82Lc/D97x8+qz7EYpCfr47NfftU4RckpaXqM83MDDb3wAHV+Y0eHVxmNKr+zvx81QMGgYiu0+3b1Tc6fnywudu2QU0NnH56MLmABn7yiQ545MjAYvfvV2WkCGR80+6XMGVlOlxQ/64fUqIEolGd+6ZN9dKihYp1616aNatfVm0tvPGGboDdu+uO/sUXujxuUjvmGOjSRR2bJ5zgf/xFReo0XbUKKiuhTZtgdqj8fLXLrlmj0t22bRsuwwXYvFl/trhYr2/dqkUFOt8nnaSezIbw+efw6KO6Yeflwe7dOr/xOe7YUV2eAwY0LHfjRnj1VRU1b9um6y4W0/ucU9Fw794wcGDDcolEIDdXV/jWrdqmW7fqCgM1d/bt2+A99bPPVIrdu7fu7J99djAS1BTXp0/D5/fAAV33J58MH3+sl911vserdWvo108l3H75t3IMisC8eTBnDrRsCVdfrTv68cfXv0QOx549usPHYiobjkt2x4/XI3SrVonllpfDgw9Cz576VQixGBx3nOZmZOjzaSjV1XDffXqZPBmmTNGd55RT/NnMiorgz3/Wcf7gB2q/Pf54X3JdQB36//d/WuC33KI7T9euehDwxeLFcP31GvS97+kEDBgA/fsnvsKA7Gy4914oKYFZs3S8vXv7igR0Xn/5Sy2UW2/VYfbrp3Psx2r3bY7Bf6sSSDbLlulKadIE/vhH3TkTUT9/neJiuPtuVUv//OdqLm8a4DmaiJZVEGNttMRiUFjoT2F/hInvmkHpLK0EDCPkfFsJ2F8HDCPkWAkYRsixEjCMkGMlYBghx0rAMEKOlYBhhJyU+BOhc64A+Pxoj+Nb6ATsO9qDSAAb95GlMYz7RBH5xgclUqIEUhnnXM6h/raa6ti4jyyNddxgLwcMI/RYCRhGyLESODxPHO0BJIiN+8jSWMdt7wkYRtixMwHDCDlWAoYRckJfAs65ns65xc65zc65Tc65m73l6c65+c65T7x/O3jLnXPuYedcrnNuvXNu+FEcexPn3AfOuXne7d7OuWxvbC8655p7y1t4t3O9+3sdxTGnOededs5tdc5tcc5lNpK5/pm3fWx0zj3vnGvZGOa7PoS+BIAo8HMRGQiMAW5wzg0EbgMWikhfYKF3G2AK0Ne7zAQeP/JD/pKbgS11bv8BeEBETgaKgWu95dcCxd7yB7zHHS0eAt4WkVOAIej4U3qunXPdgZuADBEZBDQBLqdxzPfhERG71LkAc4FzgY+Art6yrsBH3vW/AFfUefyXjzvC4+yB7jBnA/MAh35iral3fybwjnf9HSDTu97Ue5w7CmNuD2z7+u9uBHPdHdgJpHvzNw84L9Xnu74XOxOog3faNgzIBrqISFztuAfo4l2PbxBxdnnLjjQPArcCnoaTjsB+EYkeYlxfjtm7v8R7/JGmN1AA/N17GfOkc641KT7XIpIH/AnYAexG528tqT/f9cJKwMM51wZ4BZglIgfq3ida6Snzt1Tn3PlAvoisPdpjaSBNgeHA4yIyDCjn4Kk/kHpzDeC9RzENLbFuQGsgYFH90cNKAHDONUML4FkRedVbvNc519W7vyuQ7y3PA3rW+fEe3rIjyVjgQufcduAF9CXBQ0Cacy6uKK07ri/H7N3fHig8kgP22AXsEpFs7/bLaCmk8lwDnANsE5ECEYkAr6LrINXnu16EvgSccw54CtgiIvfXues1YIZ3fQb6XkF8+XTvnesxQEmdU9kjgojcLiI9RKQX+gbVIhG5ClgMXPItY44/l0u8xx/xo62I7AF2Ouf6e4smAptJ4bn22AGMcc618raX+LhTer7rzdF+U+JoX4Bx6OnneuBD7zIVfQ23EPgEWACke493wGPAp8AG9B3jozn+M4F53vWTgNVALvBPoIW3vKV3O9e7/6SjON6hQI4333OADo1hroG7ga3ARuAZoEVjmO/6XOxjw4YRckL/csAwwo6VgGGEHCsBwwg5VgKGEXKsBAwj5FgJGEbIsRIwjJDz/wCmS/93AK6pmQAAAABJRU5ErkJggg==\n", 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\n", 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\n", 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\n", 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lgqjrYSFgGCHHRKOGYRwWCwHDCDkWAoYRchIKAedcZ+fc8865tc65Nc65Uc65AufcXOfcJ95tvreuc8496pwrdc6tcs4Nb9mXYBiGHxIdCTwCzBGRU4FhwBrgHmCeiAwG5nmPAS4DBnvTFODxQFtsGEagHDUEnHOdgLHAEwAi0iAi1cCVwAxvtRnAVd79K4GnvGsgLgY6O+d8XLDbMIyWJJGRQH+gEnjSObfCOfdn51we0F1EYl+83wZ09+4XAZubPX+LN88wjDQkkRDIAoYDj4vI2cB+4kN/ALzLHif1hQPn3BTnXIlzrqSysjKZpxqGESCJhMAWYIuILPEeP4+GwvbYMN+7rfCWlwHNv0jb25t3ACIyXUSKRaS4a6i/emcYrctRQ0BEtgGbnXOneLPGA6uBmcDN3rybgZe9+zOBm7z/EowEdjc7bTAMI81I9KfE/w78zTmXDXwK3IIGyP845yYDG4Gveuu+AkwESoEab13DMNKUhEJARFYCh3znGB0VHLyuALf7a5ZhGMcK+8agYYSc9DALtSCVlfDGG9C7Nwwb5t8bYRgnGif8SKBrV/3p+zXXqF9j+/bWbpFhpBcn/EgA4BvfgMsuU2nPY4+pFeu66+C88/yLdgzjeCc9pCIDB0rJkCG6R06YALm5h055eXDWWYH8vbo6NTgtXqxBcPPNSYZBJALvvgujRqkUVCRu2qmt1SkSSU0HJXL4xohoeu3Z41+LdTDRqJ43de9+9HWTQURdhIWFwdetrob8/GDrgvZxUFajGCL6vrVE3b17E7Y7HUkqkh4jgfx8+NGP9AUNHaoOr5oa3ZlqanQDLSsLLATattUd/6ab4KOPkgyA8nLVSb34ovr1Yrqq7Gwt3K6dToWFyYXAmjXwpz+pV27YsHgYxELaOZVtDhiQfAjENuxoVIWgq1frC9+2Tes6p3/Tj2VXRI2rJSWwfLkOuwCGD4cbb0y9Lmigrlql4tH167W955wD11/vry6oH3D+fLUvR6MqMg1CTLtzJ8ybB++9p9qwsWP1nNQvu3bph1yLF2vdcePgiit8lUyPkcDxqBerq9MAaNMmmHrbtsHSpRqE110XjHW5okKddX/9a7xmv36qAR8yBLp1S+18KBqF559XyWZjox7lQI2rxcUa1qnKQdeu1ZBbsgTeeUd3psxMlZqOGQP9+6fW5qYmHbXt3Kl68cWLte09e+qOdPbZujxV6uq0vW++qe9hQYFaaM8919820tiofTFvnmrX8/O17nnnJV3XHINhpLFRR1AbNuhGk5vrv6YIPPcczJqlOvQ77wxmmLtrF9x7r+rRb7tNVd3nnw9duvir29Cgnwi/8oru6AUFWvvccyEnJ/W6MU386tV6qpqTo9LRiy7yJ19taoJHH9XRW3W17ugjR2pQFRSkXhcLAeN4oLFRN/7Y50BBsHy5Xn8iNxe+9rVgPgmOBeGiRXr9Br+nOzEiEXj8cR2lTJyoFysJ8JNrCwHDCDlmGzYM47BYCBhGyLEQMIyQYyFgGCHHQsAwQo6FgGGEHAsBwwg5FgKGEXIsBAwj5FgIGEbIsRAwjJBjIWAYIcdCwDBCTnqYhVqQmOSme3c4+eTWbo1hpB8n/EigXz/45S/hq1/Vn4DX17d2iwwjvUifkcDatWrBGX/IRY18UVCgEpyKCtX43XOPKgCvv151hoYRdtJDKnLaaVIydKg66yZMiC/IyFAPXs+eUFSk6qYAqKqCZ55R1+bw4TB5chICl6oqePppePVV+MIX9MIGbdqoaLRNm/j9vDy1ziRDebnqqi6+WIcssamuLn7fuWDTK2burapSiWmQ1NVp+gZtR25s1LpFRcHWjURUatujR/B1d+7UbTnourt26TaYAOltG87L07F6Tc2BWqmmJn1Ttm3T24DIz4fbvaslfvxxkgan/Hy45BKVSQ4frsOKxkZ12TU26lRTE7ftJsq778IDD6ix90tfUmddTo4ajGP3c3LUuZdMCGzYADNmqB5982atv39/3GIMajEeMiS5EGhsjO8wW7ZoR65bpzbjaFTXadtWrcB+QmD3bjUNr1yprwVUCDp6tP8QqKxUied77+n7mZkJF14Il1/ur25dnUpj335br3aTkaEHt4kT/dVtatIPuRYs0FFzRgZceqkejHyQHiMB04vFaWwMzmBcVqYyzPffh+9+FwYP1uuxpWoCBg2PZ56Bn/xElepnnaWW4VNO0alv37iGPVnefx9+9Ss47TQdnYBKTM88U/9Ov36pOfdqalQpnpur/r7SUq1TWKgSz3POSU0O2tSkR/g2bTTEFy/WgI2F3+jRqV3LIRrVIMnK0jBZsEBHPllZKksdO1bfxyQxx6ARHCK68e/bpztmEFRWwlNP6Whl6lRViwfBe+/psG/7dvjFL3SnHzjQv8DzjTfUtFxYqKdvo0er0dnvxS5LSuDf/11HT337qsJ97NhATlEsBIxw0/wiLkHU2rFDT1UgtStNHY5IRE9Pdu/W0VXAn1yn92cChtHSBHnRSef0w7gEP5BLmMxMvdbCMeaE/56AYRifj4WAYYQcCwHDCDkWAoYRciwEDCPkJBwCzrlM59wK59ws73F/59wS51ypc+5Z51y2Nz/He1zqLe/XQm03DCMAkhkJTAXWNHv8a2CaiAwCqoDJ3vzJQJU3f5q3nmEYaUpCIeCc6w18Cfiz99gB44DnvVVmAFd596/0HuMtH++tbxhGGpLoSOBh4G7A+2UIhUC1iDR5j7cAsV9zFAGbAbzlu731D8A5N8U5V+KcK6kM8MdBhmEkx1FDwDk3CagQkWVB/mERmS4ixSJS3DXob14ZhpEwiXxteDRwhXNuItAW6Ag8AnR2zmV5R/veQJm3fhnQB9jinMsCOgE7A2+5YRiBcNSRgIjcKyK9RaQfcB3whojcAMwHrvVWuxl42bs/03uMt/wNSYdfKRmGcVj8fE/gx8APnHOl6Dn/E978J4BCb/4PgHv8NdEwjJYkqV8RisibwJve/U+Bcw+zTh3wlQDaFhhbtsDPfqZOjTvuUBmQYRhKKL4x2Ls3TJkCc+bAf/6nCncMw1DSwyewfz9Mm6ZapSlT/OmvjkBxMbz2mnoZH3lEfxI+daoq+1Kivl4db0GpwAyjlUiPEGjbVneoVavgt79V6WOMzEwVSvbvD1dc4evPZGaqB+LBB3U08JvfqMLu3nuTcE6UlcHdd8Ps2XFNcW6uBlf79vGpsFC1UIkgAitWaM36elVVORefMjLi9/PyVGOVDEfyFkYiahneuVNFqWeckVzdzyMSUUHs3r1w6qnB1YV4m4My+sTYv19dfkGpzWLU1KiJKGjrcm2t1u3Tx1eZ9AiBzEw9LB+Opibd8QIewxcVwa9/req5pL7PWFSkLry334YLLtAn19aqb2/fPt3o9+3TnSBRnNM0at9e+yInR0dFIjpFIvHHGUmcwX3wgYpGFy1SK23sb8XIyFB7cmGhugITDYHGRnjpJQ2WrCz1Am7efOCVXTIyVBU/dGhyIVBers+rr1ch6Lp1OlVUxNveubMGYaohIKJW5FWrVG4ak5rm5alt2E8I1NRozZKSuB25XTu1DfsJgUhEr82xZIm68qNRPXhedpnvEDDH4IlMNKobzrp1cNVVwdRsaoLHH9dRy9Chqkfv00c/eGnbNvW6GzbolWHmz4dvfENrDRyoBuOTT9bztlS+fd7YqMr1+fOhVy/dmZxTieewYRp8BQXJ1xWBuXM1/GpqNFRAd/hhw/SaE/37p9bmFSs0BLduVUtyTY2G6mmnwbnnwumna/gmiYlGjfRn3z49+g8ZEtxnLUuWwFtv6U4zdWrqOvTmiOgFaJ55RkNq6tTUdejNiUR05PbwwzBmDNx6q17bIi/Pf5uxEDCM0HOkEAjFvwgNwzgyFgKGEXIsBAwj5FgIGEbIsRAwjJBjIWAYIcdCwDBCjoWAYYQcCwHDCDkWAoYRciwEDCPkWAgYRsixEDCMkGMhYBghx0LAMELOCR8C0ajKcAzDODzpEQINDfDii+pOC4jt2+HGG1Xb99OfwvPPa/mGhoD+QF1dQIUMo3VJD7PQwIFS0revqoCbyxhF1DXXo4f64a65Jqm6IrBgAZx5JqxZo9Mnn6h2DlQSPHQofO1rSRRdtEhdeNu2waRJqq3Ky9Nizaf8fLjkksRq1terD332bL1CyoABB9qGm1uH27dP3GIMOgz6178OlHJGIipEjU179mj9ZC3GRyISURvw9u3a2cOHB1MXNHy3bFG5a5B25GhU6+7bpw6/oBDRbWXPHlWRBcn27fr+JShcPZJZKD1sw/n58MYbuvEc7ICrq9MXm8Lly51TeSzA+efr1Jz9++NC2IQZNUpNux99pB64pibdIGtqDpyi0aOW+ozsbA2/oiINu+7dD7QNN5+Sce+9/rpecik3F8aN03nNw6RjR1Wld+ight9EiET0Ki7Tp+vGl5Gh7WpORoaKQbt1S84IXFamYXjmmbBpk05btx5obs7JUbFpMgEQjaoQ9KSTdFtat06PBuvXxw3Jzqks9dxDLqr1+dTXx+3QmzfD6tU6bd0aX6dnT91WkkEk7izct0+3tw8+0LY3Nemybt3g4ouTq3sY0mMkYI7BliMS0SNc377B1KurU5320qVw0UVq1k1Gg34kPvxQLwixYYOKO/v21Z22Z8+UzLqfMXcu3Hmn7qgXX6yjysGDdRo4MHVD8sKF8POfq1144MC4wfi003Qk0atXauLR0lLth8xMVauDjjSHDNHgGzw4ZQmriUaN8LJvn44ABg4Mpl40qiOJTz/Vo/GIEcHUbWyEWbO07qhRhw5dfZLepwOG0ZLErgoVFBkZen4f9Dl+mzZw9dXB1kyA9PjvgGEYrYaFgGGEHAsBwwg5FgKGEXIsBAwj5FgIGEbIsRAwjJBjIWAYIeeoIeCc6+Ocm++cW+2c+8g5N9WbX+Ccm+uc+8S7zffmO+fco865UufcKudcgL8eMQwjaBIZCTQBPxSR04GRwO3OudOBe4B5IjIYmOc9BrgMGOxNU4DHA2+1YRiBcdQQEJFyEVnu3d8LrAGKgCuBGd5qM4CrvPtXAk+Jshjo7JxL8CdqhmEca5L6TMA51w84G1gCdBeRcm/RNqC7d78I2NzsaVu8eQfXmuKcK3HOlVSm8DNhwzCCIeEQcM61B/4XuFNE9jRfJvpTxKR+jigi00WkWESKu3btmsxTDcMIkIRCwDnXBg2Av4nIC97s7bFhvndb4c0vA/o0e3pvb55hGGlIIv8dcMATwBoR+V2zRTOBm737NwMvN5t/k/dfgpHA7manDYZhpBmJ+ARGA98APnDOrfTm/QT4FfA/zrnJwEbgq96yV4CJQClQA9wSZIMNwwiWo4aAiLwNHMmTNP4w6wtwu892GYZxjEgLs1BtLTz0kBqgmnsTm5vPMjPhyisTqxeNqgv05ZdVATdihD4/I0On2P3MTF1++eVHr1lVBf/4hwqBx49XN2rM2ZmREb8fu83Lg4kTE+yA6mpt7KxZWrxTpwMtwxC/36EDXHppgoU/n2hU/a1bt+p7kJTNqqlJC2RnHzi/sVE7a+dO2LVL2xyUJqupCSoqoLxc//Y55wRTF2D3bti4Uf9GkHbk2lrVhTU1qY8xKOrrtW4kospsH6RFCGRlqapNREW7zYntA8m4LDMyNExqa9XYNGyY9lU0qlPz+4nW7dxZTd9VVap/69AhLgSO1YrdF0nSjdmxo8opS0tVWdWxY9wuDAfahhMUY1ZUwBNPaL+C7jfV1fHlsUzp2lWdmAMGJNjWqir4zW9gxgy49tpDpZdZWVBQAIWFettcIf951NfrxSEWLlTbcHm5voHNyczUDaRnTzj55AQbTNzS26uX7uibNmkHNT/KdOqkotBkLMbl5Xohi3btdIdcv15vd++O127XTjs3mWDZs0dDo2NH1cV/8olOmzbF62Zna90ANPEmGj0Bqa+Hv/wFFi/WbeTCC3X779gxNQHuIVRXw5IleiQuKAigILBqlSrSt2+HKVN0R8/N9V931ix49FENq29+U3f0vn01HVPtjEgE/vhHvarNOeeodXngQJ0GDIhbgpOloQF+9zv41a/gsss0QPv21cAbPFiV6Acr+ZPAbMOGETQievGKICWmIjpKgUOHxT4x27BhBI1zwQZArGbAO//RsJ8SG0bIsRAwjJBjIWAYIcdCwDBCjoWAYYQcCwHDCDkWAoYRciwEDCPkWAgYRsixEDCMkGMhYBghx0LAMEKOhYBhhBwLAcMIORYChhFyLAQMI+SkTwjs2XP0dQzDCJz0MAutXasixquvjs/LyVFJY2zq0AFuvDGpslVV6uVs104fi8C+fSrB3bVLl9fUwKRJCRasrYUnn4R//lMNr337Hqgxbj516ADXXJNY3d274f/+D0pKVFEciRw6NTXpbV5eYnpkUOvp4sUq0TzpJG1/Tc3hb9u2Tc5iXF6unr7mzru6OvUPNp+ys2HcuMTrHsn+2tgIO3boVFmpQtOxYxOvK3J4p2A0qhvD9u2q9crJCc6OvHev9lN5ufZvAFJQQDfi8nLVROfm+rYup0cInHwyPP54vJNE1JZZWxuf6usTLlddDffdB3/+M9x664FC3A4d1I0Zm5IyObVrB1/+sm4op52m9s6Yarj5FIkkJ4TctUs37Opq3ZEyM3Ujz8nR+7HHmZmJyzebmrRPn3wS+vTRkM3N1ddw8G1hoTrUE2HrVvjRj2DmTPjOd+LzndMNvVMnFW3GpkQ7uKQEpk+H1ath5MhDl2dlQZcuqkfu2hX69Uus7sqV8Kc/wbZtKgE92KmZkaEbQrdu2tYePRKru369ykbbt9fXXVl5aO327VWY2rNn4nU//VTrxratbdv0vXQuXr99e13es6fe+uSEFY2KqGW6e/fU5a8nDMmG0tGIRnX0NnCgBlUQ7N2rQbB3L1xxRTA1RXRnXbpU23nllcH0Q2OjWoxLSmDIEJgwQQMqGS/+4aitheee07rnnw9jxugGfLDWPUXMNmwYIedIIZA+HwwahtEqWAgYRsixEDCMkGMhYBghx0LAMEKOhYBhhBwLAcMIOWnxPQHnXCWwsbXbcQS6ADtauxEpYO0+thwP7e4rIl0PnpkWIZDOOOdKDvcFi3TH2n1sOV7bDXY6YBihx0LAMEKOhcDRmd7aDUgRa/ex5Xhtt30mYBhhx0YChhFyLAQMI+SEPgScc32cc/Odc6udcx8556Z68wucc3Odc594t/nefOece9Q5V+qcW+WcG96Kbc90zq1wzs3yHvd3zi3x2vascy7bm5/jPS71lvdrxTZ3ds4975xb65xb45wbdZz09fe97eND59zfnXNtj4f+ToTQhwDQBPxQRE4HRgK3O+dOB+4B5onIYGCe9xjgMmCwN00BHj/2Tf6MqcCaZo9/DUwTkUFAFTDZmz8ZqPLmT/PWay0eAeaIyKnAMLT9ad3Xzrki4HtAsYgMBTKB6zg++vvoiIhNzSbgZeAS4GOgpzevJ/Cxd/+PwNebrf/Zese4nb3RHWYcMAtw6DfWsrzlo4BXvfuvAqO8+1neeq4V2twJ2HDw3z4O+roI2AwUeP03C7g03fs70clGAs3whm1nA0uA7iJS7i3aBsSMmbENIsYWb96x5mHgbiDqPS4EqkWk6TDt+qzN3vLd3vrHmv5AJfCkdxrzZ+dcHmne1yJSBvwXsAkoR/tvGenf3wlhIeDhnGsP/C9wp4gccBEE0UhPm/+lOucmARUisqy125IkWcBw4HERORvYT3zoD6RfXwN4n1FciYZYLyAP+GKrNipALAQA51wbNAD+JiIveLO3O+d6est7AhXe/DKgT7On9/bmHUtGA1c45/4F/AM9JXgE6Oyci2nkm7frszZ7yzsBO49lgz22AFtEZIn3+Hk0FNK5rwEmABtEpFJEGoEX0Pcg3fs7IUIfAs45BzwBrBGR3zVbNBO42bt/M/pZQWz+Td4n1yOB3c2GsscEEblXRHqLSD/0A6o3ROQGYD5w7RHaHHst13rrH/OjrYhsAzY7507xZo0HVpPGfe2xCRjpnMv1tpdYu9O6vxOmtT+UaO0JGIMOP1cBK71pInoONw/4BHgdKPDWd8AfgPXAB+gnxq3Z/ouAWd79AcB7QCnwHJDjzW/rPS71lg9oxfaeBZR4/f0SkH889DXwALAW+BD4K5BzPPR3IpN9bdgwQk7oTwcMI+xYCBhGyLEQMIyQYyFgGCHHQsAwQo6FgGGEHAsBwwg5/w/ZiJp0MoQ/AAAAAABJRU5ErkJggg==\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "\n", "path = pathlib.Path('../test2/')\n", "task = tools.Multiprocesser( data_dir = path, pattern_a='2image_*0.tif', pattern_b='2image_*1.tif' )\n", "task.run( func = func, n_cpus=1 )" ] } ], "metadata": { "jupytext": { "formats": "ipynb,py:percent" }, "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.12" }, "metadata": { "interpreter": { "hash": "41f5f0438dc4e3a82bed3f79924308eb45f1e47bd23729f3ef4bcb36970735b2" } }, "vscode": { "interpreter": { "hash": "f83b0c3a4910470a1212112b1707d582432916ed4ba8aec962241a050aa18fae" } } }, "nbformat": 4, "nbformat_minor": 4 }