domingo, 27 de agosto de 2023

LOW COST ACCESS CONTROL WITH VISUINO ESP32CAM AND COMPREFACE (DEMO VERSION TO MANAGE 50000 FACES)

LOW COST ACCESS CONTROL WITH VISUINO ESP32CAM AND COMPREFACE (DEMO VERSION TO MANAGE 50000 FACES)

exadel-inc/CompreFace: Leading free and open-source face recognition system (github.com)


The examples in COMPREFACE are in PYTHON, JAVA and CURL, but to VISUINO? Based on this i ported to VISUINO to send the an image to the RECOGNIZER service, of the COMPREFACE server.

Visuino 0.94 Beta 2 has ported some ESP32-CAM resources, but enough to me take the picture and use the BASE64 and HTTP components.

Exadel

Exadel is a global software consulting and development company that partners with organizations to help them become digital leaders in their industries.

We look beyond the code to understand the impact our clients want to make and help them get from ideation to development and outcomes.

We accelerate the results of digital transformations through an open, collaborative approach combined with our deep experience across industries, business processes, and technologies.


EXADELCOMPREFACE

Exadel CompreFace is a free and open source facial recognition service that can be easily integrated into any system without prior machine learning skills. CompreFace provides REST API for facial recognition, face scanning, face detection, landmark detection, mask detection, head posture detection, age and gender recognition, and is easily deployed with docker.

Efficient for 50000 registered images (DEMO VERSION).

Contact to get the PRO Version of COMPREFACE

Maciej Walendowski to the PRO Version
Maciej Walendowski 
Global Senior Business Development Manager 
Exadel Inc

See the link below how to install on WINDOWS or LINUX




Start DOCKER, register the IP of the machine that is running


Enter IP:8000 and create the Services and Subjects for recognition, write down the API key


Launch and test images to recognition

This is my Picture on COMPREFACE WebServer

VISUINO







Visuino is the latest innovative software from Mitov Software. A visual programming environment that allows you to program your Arduino boards. ... The components found in the Visuino software represent your hardware components and you can easily create and design your programs using the drag and drop feature.

VISUINO PRO INSTALL  8.0.0.94

Download in  https://www.visuino.com/ and install

Select Board AI Thinker ESP32-CAM

Code based

curl  -X POST "http://IP:8000/api/v1/recognition/recognize" \
-H "Content-Type: application/json" \
-H "x-api-key: <service_api_key>" \
-d {"file": "<base64_value>"}

Follow Visuino Project


When detecting Similarity greater or equal to 0.99 will do a FLASH.

API

HTTP Properties

API KEY

Execution


ESP32-CAM in my Desktop


ESP32CAM in my LAB

CURL tests

curl  -X POST "192.168.100.90:8000/api/v1/recognition/recognize" \
-H  "Content-Type: application/json" \
-H  "x-api-key: 91d3c644-ab7c-452e-a4c9-883ac1ab896c" \
-d '{"file": "/9j/4AAQSkZJRgABAQEASABIAAD/4QAiRXhpZgAATU0AKgAAAAgAAQESAAMAAAABAAEAAAAAAAD/2wBDAAIBAQIBAQICAgICAgICAwUDAwMDAwYEBAMFBwYHBwcGBwcICQsJCAgKCAcHCg0KCgsMDAwMBwkODw0MDgsMDAz/2wBDAQICAgMDAwYDAwYMCAcIDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAz/wAARCAFAAPADASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD9/KKKKzAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKOtFFAEbxZFQvFkelWqY6ZrkxGHU0NOw+iiiusQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAV9W1SHRdNmurhisNuhdyBk4HoO5rlY/2gPCTxhm1Xy88fPbyjB7g/LRVYSRY4iG5Z4umg2kqV3xuDyD1bfLfsq7+qySRlYZZB8x2/K31HGf0I7YrhxWKlSlaJ3YXCxqptn0zbfHDwfdEAeJNHjJ7S3Kxf+hYrU0/x5oerf8AHrrOk3Of+eV3G/4B8r3B4p7yhRXuBWLqsQ546WR43cqQwrbXMDFnBi6vSJBeif8tPW85a7r7DM961Jvk4hdryZoByEp8GC8HzsqJpRN4FxGM9oEcqyruVlZT0IORTq/Lux1pbpvMs76NWxkNDJz+lNuPjN4u8OvttfEfiK12njydRmjGPwap/tfWzh+P/AD+y3a6l+B+o1FfmFY/tjfEbSJF8vxhrjBRj97L52P++93610Ol/wDBQv4mWh/5GaC62jIS40+22sPqqK3603nVKPxRf4f5gsoqy+Fr8f8AI/Ryivz/ANN/4KgfEazh/e2HhO6APWWymQn8VmA/St7Sf+CuOrWkedS8FaZdFeG+zak8GT6gNG/FEc9wn2m18v8AK4nkuK6JP5o+4qK+QdJ/4K6+H3j3aj4N1q32j5ha3cNxj6bvLzXSaL/wVe+GOpOq3Nv4q0z1NxYIwH/fuRz+lbRzjBS/5eL53X5oxlleKX2H+f5H01R1rw7TP+CkHwZ1Mqv/AAmK2rt/Dc6ddRY/4EYtv611Wi/tgfCvxAF+zfETwdubosurQwsf+AuwNdEcdhpfDUi/mjCWFrx+KDXyZ6PRRRXUc4UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAYHxRfZ4A1M/8ATIf+hCvlLxjeLa6wWOGT0/uj6V9UfF4sPhrq+1SzeTwAM5+YV8m+Mk8y4Z26bScDuD0rycx+LXsexlabWnc+Of8Agpjq8Y17wvND/El1GcrwTmInGfqPxr5NvfEAA3bImye64/lX0t/wUr1N9OtfCk0Mm1o7i7j6bsZER7/Q18k3fju7dSG+zyf70K5/QVnhbukrGuKjaq7l6bxBGjblhjVh/ErsD/OmxfEHUdPP7nVNYgXGFEV8y4xXP3njcup8yysG7fKhUn9ay7rxRDJnNmo3dklI/wAa0lHyMlbud3D8evEtkmIvE/iADPSSfzx/49Utt+1P4w0t1b+3Un2vnE9hCQSOfmwOR7V5nL4hsZDloLqPpwsgOfzxVO71TT5F+Wa6T/ejH9KxlRi94/gbRnJaqR7ND+2r4qsCFk/4R+8Xqd0Eqn9GA/Kr1l+3dfKdt54d02ct1aC+MX/oW6vn64uLXftW+Q+zRkVQvg2flurVs+kmK55YGhLeJtHF14LSR9T2H7dulrMn2vwrqccbIQ7214k3bggbV7+9X7T9t7wfOuLzTdftsnq1sjqPx3/0r44uI7nDbfKbjs4NUpbm/tmyqSL/ALo/wrllkuHl3XzOiGZ147/kfcUP7Xvw/vyA2qyWp7Gezfj/AL5BqVfj94F1OJvL8SaR83P71jEP/HgK+DrjxLqFuRlpvfJJqjc+LRVYSRY4iG5Z4umg2kqV3xuDyD1bfLfsq7+wCiiivuD4wKKKKACiiigAooooAKCcUVk+I/HWk+E7cSX9/bwln8tI92ZJX/uqo5J9h060Npbga1FeZ/EP9pjw/wCFfDUt3BNJeTq6RxW6RSLJcu+fLSM4Csz44BYYzzz8teT/AA+/aK1jxh4r1hbm6XSbi2yraTCscbyyoT5kQlKtIRHnqAu5iwDYUseeWJhF2No0ZNXPqRm2jnisfUPGum6Zdi3k1Cx+0bghiaZVcseg69Tg4Hf8DXgt18ctUtNYP9k2MNwVxbLd3V293azYcZLz7VzkcAkgAr0Y9eF8Z/toWfhizsbeybQTq4k8y81BIFhtIQSChAUFmZmBO/AI/efKCAwmWKXQaw8j6zn8f6Ta6j9jmvI47pY3mkjPP2dUALGQjIQDI5YjkjGc18p/tY/8FHJvhvqLaf4TjnaSxb99I9ujFwpO8tvPyLjB3EZUFtwyNteM+J/2yNH0jX/7Fj1m4vrvWLhRvtAiNdyngAsAREjHcQgUklv7xzXhH7Y/7TeneJ906X00lpcyPcPZWAMFmzEk5mEiF7lu+6Qsy7jwA3OUsRKWi0NY0Yx1Z9y/B39t24/aW+EmsRsul+daxkXxiuYpo4Q33I2nimKpKcZCsuSMgKxBB8r+I37QOh+GFka6h8SG2YCBb5rFvsYuM7TG0rIhbOJCpVckqAAwBavz+1z4+3Vnoy6HpOltb6b4dIlvZrK4e3a4mkIBd1Znhx9xAqIu7yx8xGAvb+Af2rdWg8A2mlfbJLjSbRpJZdPni3wtGyxh1khbOUZYxyp+RlDBlYbhz16bn8R0YepyP3S9/wAFI/Eel+I/h14f1LSb6K8jF24d0Qq0bMqDYwPII/UYNfFlxquJex9OetfXXiVvCPjnxfFp+uW16vhPUJcXNvazK8tpbsxCz20h5EiZLKrZDdDtVnIwPih/wTYk07XHsfBnifS9cnmgaeOwubg2d7fWYj81bq23Ax3EUqqSFjcupyhBwzU6MVCPKVWqOcuZnypcakrdMbapXGpKCMj6V23xB+GAVPJCC2FI7F44SAHZ2O74OHVEO4JQOMVZIUEJ23KPQBTXUZ5KZM3T2J/+yrbluZ8zRjXF/k8/mO1ULi+yflY1tXfw6vGYeXeW7em5WX/Gs25+HWrKcq1pJ/uyEfzAo5R+0M2bUCP4s+lULnUucZ9fpWnc+BdahP8Ax67tv92VOf1rLvfC2rQg7tOueP7qbsflmp5Q5roqy6nubnJzzVV9U2E4dlb2PWi50q+tQfNs7yP13Qso/lWZLujLZ+Vs4weMUcqHd9C7Jrco/wCWr4BzgsTVW61l5I/mdSp7ECqcjsv3v/11TupCw7+tToHMz+zKiue8JfFnwz47u/s+j65puoXAQyeTDMDJtGATt64GR+dfj18T/wDgpn8bvAPx58VK3i++tbmx1m7tGsSA9raeVM0flpCwKALtxyCTjJJJJr0JVFE82Mbn7TUV+Qfg3/gu18VtAltk1K08Ma5GjfvzcWRSaVcj7pieNVbAODtYc9DXq3w7/wCDgWOTdH4p8Ax5LfJNpl+yjH+46N/6HQqkWHKz9JPNUSbNy7iMhc8kf5Ip1fGPgn/gtD8E/Hmt2F1qTeKPC99ZiSMNdWkckTpIBuXMTuxUsqH7qnci9uD7Z4N/4KBfBfx5t/s/4jeG13HAF5ObIn/v8Eq+ZMmzPYqKy/DfjfRfGVus2j6vperQsNwezuknUj1ypNVfiN8QrD4a+DNY1m8kVl0eykvXgVh5soUHaqjqWdsKuByxAHNMDlfjF471qTWoPCvh+Oa31DUE3TX+zP2aEkBjGuQWYA5LDheBnccrT1b4R6J4I8NyXDNcXd9I8UKTzzmS4cvKqnk/6wjPdSSBjk81H8LdJ8QWXgrT21i48nxJqUP9qanDbO0kdg8xLFQCN20yb8Ln5TvCkqCTa1nTtaS0uLq5/tSxRJRmS3uIUluVRuTI5VjDCQDu2ZfaAd+flrjldtuS/wCAbJ20R4V+0j8SvDOgahrDaPDG1v4Q0WMabNcyOLGy1K+kkthJKjZbzIURAkaJkefIG2/KR8HX/wC0PJ4W8R3Vv4d1uaa1tpTEt0IzCHjywVmXd8rMMNtyzAt2K4rqv2u/ilq/x7+Jv/CG+E9U+0eGby8hVILeCGzhndf3aOcKojXK5JO0Kqcj5Bjyf4heB7b4YeJItBbS21F7K2Ly3AnXyLmWQBlePa5XYBgBSQ+ThxkFRzykpO52RulY9C1b9rjXPG2kR2era40Wn20QthA53ySW5+8GIwqrgH+EOQT2Y1yWq/EaPWPBmoXFpbR3X2XZIqrBK32JHIjG3CqCwRAAWzn5ieSM42pT2OgaTMXt3t1mhETWsZiJ3EH5izgtv4J6cnJzxxwvgL4jy+Fr66ureztb6Fcq0dyv2iFOcg7N4GcnqTx1yDgiohIyfiRrGpESQW9nM2QWd5PvH2w2AFIA4A+bAPTBrD8b3t1440ezk1SaT7RCpUysw3sBlsydgTnBY9NueeTXRePPibrGuqkcdk9zdWhLI9zMrQQpuJz5GG34yOXZgcYINcdoHhnUPELM01xNdfapBG88oMdmsvUFpMO7MAegGecDPfTYztc1PCdu8WnzRNfQx2l15UkskYZ5h5YYL5SAFt2GPJG/ax5RS5O/448A6h4E1W18mFdFs22/ZlkkVZpAeSVf7z8lu4Tn5dgIUb/gXwtY/CjRLrWbia6vtUj+Sx/0QxqsxBJZQzGYlVJJZwjcj5GBrgfGHg/xF4t8QajqGp2s0l5O3nTPOA0kjNn52dssWwM/McnHNZ8xpCm3sd/o+q+BNR8KLDdan4gvvEcLL9msNLtoIbTHLO7zyTfIQepEKgEEk4wzdt8J/jrouraJa+E5LfULt9LvTd6Nc2OZLvSLrazDEgRd0bMFLRqQh25J5Yr4b4f+CuqWrrJdLJHGsoLMo37mzjnaScD0HcnOfun0n4heO9S1Twtb6LHpenaTbqqxme0sjPrGsZK7VlfzOYwwBSPCohJwAG2HOVr6Gns5LVo9H1D4+alrOi+JPCHiDR9LutPvNMvL602WXlWt/DGFmNtujBQeSY3ZGkRpEkUBiokaRfjz4i6Db+EvG2qabZ3L3lja3DizuHwHubcnMUjAcBmQqSOMEkYGMV7CiSfDfS2aXX47f7VOWQR26NcblITzE3+mWRnQ7ZAHRtxiby/O/iV4JuJtDN/5MirpMaW10qRHFq+8IFkDHdGDkEbgeWK5OAWcJNaMmW1zgmnwe+fSmPNt/wD11EZPMXoeoA4/KnXdpc2DN9ot57dlbaRLGUIPpzWpimLLLjg5/CoS+7vx7VC8p3enbimiXJ/nSAsLc/P6fSmviRdrYZcdG54qOMhTTd2DSfYpENxo2n3JPmWdnJu7vCp/pWfc+A9DuhhtLtfchdv8iK1N24cdc0jOSvQAfyqbsq7P2R+FX/BOXwL8P/ir4c8ReG/jNdWN1oeow30TXGoWf/LNw5UgojMHAKsucMGIPBNc1+11/wAEqrP42fHbxR4v8M/EKw09fEuoy6g1oLOK9jjkkOXIdZ0JDMS/TjcR2q7FfevFOEqSdVU/h1rD61O1hezinoeBav8A8EZfiJZI32XxRod8uOGlsZYM/wDfLSVy+sf8Envi/pQby/8AhGbxf+md7Ojfk0IH619VWt+1nJmNmhbsUO3+Vadp481m0x5OsapDj+5eSKPp1qliGTKmj4a1b/gnd8bdFYkeFftiq2cwalbfj991Nc/qH7KPxa0YN9p8B+I1f+9BEtwCPX90zfp61+i9t8YvEtnjbrV63/XQiTH/AH0DWhafHvxNGMNeWtx7S2MJ/UKDVrE9yHTR+ZumeGPih8PL+G6HhvxZp5tZFmVrmwlSMkHI/wBYuMHHOOor6r/YU8Z+NviH8XPCuk+MfEGrNZeJNYt0n0y5ulZZbCwU34dohhY0V4kHCjduJxgkt9N237QeqWtuhm03QLh3+bDWrqQv/AXHJ/l9Rjw/4OXN/wCIf+CjuoNFYR/bCR4jg+zJJu8k2xE0aAEku26bCrzJ5KqQcCn7bmdkPkS1R+l3wnuW8UeFF8RSbVbxI51KEhCrLatxbBg3KsIPLLL2dn9a+dv+Cnn7Udv8Jvh9N4b066uG8Qa3p8jyxQSYkjtSyoF4IKtM5C7sqqqrliPlVr/xW/b68N/Af4Y+ENL0+eHVPFGtaDZXdlZQ5ZY4nhBjMhGOXJRUQHe5OQoHNfEvxB8QXni0eLrXxd5lzretyQT6vdGONryaeN0ZbZCq74kWREQRCRgCo+RZGfbviK65eRbkUaV5czD4c/DP/hVXh9dY/tS3k8R3BW1tGto3mcszFnkjwQzsX2iMDA27eUO/Hi/7UPxrgi1Oz0q4jsLnWrO2FuLXTZQqQZyQJ3Vd8knOThiuWYKMcnT+PvijxPr15ZLa6bLp99rM8aWoRgkVnGwCRxqq/MTtB/uhi2cc1yXhf4a6Z4CeaHSfK8QeIpZWF5rd0u6GGXIDRW4VsMVYndLuVFAIy3KnhVlqzs5G9jgbrQfEF9+81MQaS0hysEq7GOB3jHOf94ZPXOc1oeGdG/sy9j867u7o4G1IbYXK+mQuAOfQtkfWu0sfhmupz/bHmmZJCV80MhebnPyHAVE6kABSAw+6Rirl74OfTrVljjvLaNiFdnfYWBHc8Z/8e+tbe0NqeFlJnD32kTXl+26CdH3cNcQpEB3+5tyvr8rcZ71autJ1Ly9ymAxtlQ2MqynggzFTK4PYM2M9eK6uz8DW8LKzOwbHy7nDk/hjH8jWlo/gOK8ulk8lrhc43SuWzgDj6fpziodZHoU8tkyl4a8BzXsdvFJdPfJEAYkjTyrVCM9E6MgPKjYoyCen3vSvAPwqbVYoxNGm0TiZGkJkcE8NuJ5Y4zyf71bHhjRY9KsWmCDzuFBYY3uxAGPrxx6V6V4L0yPT7WCPCs0abeB94jk/nya4qleVz3MLldOK94h034ZWJtGjisYf72Fj53euTkdyME9KwNa+BGna1dGaGGOGZCUSLbx8w/u4zt5PAwMce1ep2utLGEhVV2suSwBBPr/k1HcX8d3KyxsisowZFGTk9v8A9dcUq0kzulg4Nctj4n+PP7Ht9Pqkmuxrda9MHhjubRZxHMbdAQYoWI+Xg8JgqhbIUY58z0/xj4g+HvwhvvDGnXzQ6f4pA8y0dMSTLbXcZgJbJYJuRWC5yplIO8x72/QvW542jVbpVk8w7WYRBWYDkA4xu7d+vbvXgX7QX7Lf/CV3y+JPCoWTXoYx5kQX/kIKCS0YA+7J15YsCQP4q6cPjrvlmfPY/KeT36X3HzPo/wACPEHiWzmuNFtmbVJoFngkS7RZDb87pYz8uehUupJCh+MMccb42+BXiP4X2WdW0HVNNEibkuCyyQSR9MgKCWUngNnGRX2d+z14MufiDb+GbO42z2+oaddaS9lcWIvZre7ke9gVSZC2JVdoH2naWViOQ6g+c+H/ANo3R/Cds2nQWniLR5C7xXlnDpdpCzBZEeWNfNAaN1Vy2TGzAI3U8D1ovQ+ctZnyHf2X2SONvMjlRyVJjDfIw6qQwBzyPbnrVUtgc5Fe5/ErSNB+KfxX1nQ9NhvNO1qO5mtrU3MMcCytCH8xJFjyu47NwcbOcgoM5His9o0JZJFaN1O1kYYZW7gg9xyKfMSQHntSAkk/z9af5PzGho+OPTkkUAMOV5Ud+M0xzlefrinmIoeP8aSRMjd19s0n5Dsz9Zob3gdxnp6VMt579awYb/AyW/CpxfcDn9a82Jbibcd3z7npUi3G07axbfUPu9/apo73jsOwqwsbKz7j1pwmKjj8KzorncgqxHNkjmnEzNF7tp33HA4AwOwAwPywK9X8CfEjRfgPovhv4hpolrd6lDpepaBciGIC71FjKbi2TzMcYdEjyR8qzsxyqZXyGJWdsLt/EgV2Xhe/TSvCWqXOvMq6T4Lhm1e2SznSae4vbu3mjg2om5hKjWa7MjkTyg5XcK6sLUSld+f5GVaLcbLuvzPI/wBonXj+yfHJDqGoJqXxQ8UmXV7+5hhMMukvc7WYxtx5cYjOEAIGN24DYUb5303xJKL6OKHzbi8WNVkwoiXzCo3dQerfKufmAIHyFuOm/aV8Q3HirxvqXiTxfdxyeLdevvtv2FpCbXRYiN6iTblt6q0caRjhNwf5pGynI/DZ7i5uFZWht45D80aKVmiUKcOxPcLhlYch2yc7VrOVkmzppq7sdB4wxf6hpnhXSZLjUrvzpbvUb4sY/NIXy3VGwAsSnevmDB5kA+YqK0LnR7bQ9KhtWEDwwnygsabLeLaAcDI4VTwARu+Y8nJrJ8Oav/Zk2oatbxqJL5vsdsHOPLgjJCJ7ZYNIQPVT/CKW00u8124ZnLMyZYu3BOeuB2GRn8q43V1PcwuDutStqutzSXkkdr8y7tuFXamOnAGOPpVzStDnu5PMb947nGQnT15PP4+9dFovgczD7sUW0/fbLfiPr6DpW9a+FZLYJtkWRX6MqY6YB4ycfX2NPnPco4WKWpi6P4Zt4XUzfNtG4EHLN9Ow+v8AOul03T4bNtzKseQW6Y2gfrxj36Vai8NHT4Wke8Cc8kR9OwA7nn8ST61Lp+gi6nkLzt8o3LGQFdvduv4KPx5OBEqiPRp4fqi3pyytOt1tEcS/LAjLyc8NI3oT2B6DrycDpdP1prWNd0sbMvQFsehzWbBosaybj5k20ZG6TGD6Feh4z0rorB40jZRHDCGHA8sA/wAq55VbvQ7Y07Ipx+NYDB5vnR7o+D82Qv8AX/PrUmkeJkmDTR7pI5DkOg3YA4+g5z+fatKwhEcW5Ztu7Pylhz19OB3p1wFic/vTvbg7Wzn+lYSlcOVWMvWtaW7jZcex3dCaxrywE9iJrdl+1R/fCuQR7ZBz24I5BHRsYqfxHfTHcqtJ8jDgNndz+v0FYOu6xdabplxLabWu9plCuuUYDkgjI/8Are1Z2OatFNamD4XlhsvEN9od5JeWEni8XN3a30Mkq3ENy20IV2dSb2xsZ2BI3m028E14/wCNdV0q4/amu9eVZJrzwvqp1Oytb63DJIQ5kiSWbewa3WZj5sbDlVYIcyZPa6P8Y7RtQbxBfaZNY3fhe1mkiMlub2FwXJjUFM4PmXL/AHgM+XgBsZHkGufF6UeIdUurOxkutdtmls4rudhaW/lmN1eF/MRt5IljZcL8rxq25Rkt7+GqNwVz88x1NRqysebx6NqXgXVNS1C8ivl8Rq1xbOt2ixzC4cskxZc5yCzhunLY+7uVsr4r6M1z8RNUns7fFvcOk4VFPV40duOv3mbrzXoX7Qt3/wAJH8eNT8WSW/2XSPFl1Nr9nCzZeSC4lkJBGSc/eyT1DBiBkCuA1C/bU9RnuWyGmkaTBbdjJz1710dTj3OXfRbgKv8Ao8y98+WajfTnAy0cg57qa6yOZgM7sH+VTfaZGjx5jZxwT+uKOYOU4c2pwPlYHPpRJZg/N7V3n2nc43Nn3Iz0psqRXEPzW8J7cxg1LkUfdKaj8oJb/wCvUn9qbR976HNe/wAX7EHhfU4A9v44uod2OWt4bgD/AL5daP8Ah3nb3Dhbf4iWrbvu7tGPP5XBP5A158bAzwKDVMrjOe/NWU1nb06deteiP+xpNceKP7L0n4geC9RmiVmma4kms4oVVguS7IwOW3Abc5MbgElWA07/APYB8dWMStDqHg3Uk3BFNprIO4npjei5+nWtLO1yebucp4B0J/F2nSTNdG38ubysCPcD8oOeo9f0qkmpm3uXRjteNip+oODXoOn/AAX8SfAlW03xNZw2d1dyG5h8u4SZZI8Bc5UnHKng814b8R/Hum+D/GlxBeXsNmZpGeMSvt3YOG/L+tTz2dmU9ro9I0a+U3AZtu1ecMA2fbB4PpXJfErxpdD4gafpzeXHpPknXb9o4kXzJrSO4FkrsUwQlxOkhU/eRXUYDPWNoXxP0u8cLDqunybv7twhI/WsP9pDxFHp3gL+0Gu7cCaOS1iAl4nYo2RjO0lV55wcHAJzg605djM+a/it47S++IeoW25JnF1NLJLcTsgd3ycq2SSFDFcnsG5BYE+peB7O1sfBEssYa1vLx9vlv8yGA+vy53AkdccNg4KDPzP4keTUvENjffNIswCOc/Lv6tk/iFGR8y47mvor4YXcmteFRCWO5WbsMqcAnkd/6kU8Y3GCsd2BpqdTUtQwNHqskkK/uVOyPn+I4LN+PH5e9dT4a3/u2kXhhtZQev17d+tUrDR57OzaSTy/MdnKgD7oySo/AYHSrqNN9n53bmx0HXHY+leZFt7H1lCHKjuNKmEohRvs6ICBhuT+HUn9M1p2DQ2M7mO8ujNJyqqiqjDH3duD9OT+dea2mtahb3m7YoVVUHn5s/NjGevfoK1NM8VSCJZvOjt4y4QySv5ajoOvYe/fFbxi0elRiranpUVtbiVWkhuPtEYJDyy5MYPXA4A/IUKbW1uH3blEnQq2GBPXHbH1xXIxeNbZnjeaaSRmX92d7LtB9MAdcdTk/TvT1bxfcSszQxSGJVY5TDfKf04wCevFS43Z6FOKtdHotvNYtcD5vMycNtlZTkdOff2NSy+JNP06QoRa53ZAdRIykezZP5V5HoPjZ1vrlLqQh4yAFZyFAbBCk8E8tjHGD1BrpofiR+5eCN7ezhI4CN1P0Ax79e/bvn7JmkZI9At/HyyWsbcbfunAVcZ7kfhVW68Xw3t2yyLC5IPytGrYHsOuevT0rg18YadqN0sc14ztvPyuhwucgAeowO2OMcZ4q5puoXdpq7edqdv/AGJt3RK4CnnBwW6f5FKVFsxlOCvdnTTzrcxmSGEquPulzj265x+Fcn4wkeKzkjaWSGPBZtoGSeeBk4b8jW8vj3w3azeWdSikmiBLxpIG2jp/kE5z70X0Gm+NIPMsf36qN43JtJHTgMOfc8jjHtWUqbjqcUq0HomeA69azanLJHGj7bp87HBOMfM3HUt5YfpjBI6kYHzN8QNemtPF91+9kaaLUGlZQ5AlLw+W2fQH5Tx/tDgGvtTUPCX9mancTTfLI3yjGcIvGevrgfkPx+Kv2lpYPD3xH1eGNZD5YklkwgBAZSqsevy84/AcV6GAlzS5T5TNsPyx5+5i+JfGF5deMj5t4uoRrpGnbJAu3y0t7aG2Mar6hQq56nDk4O7OzbS/aYVZDuVgGG3kV4v8T9XkTX7cx+XHPLKbi0Kvx5jSGU5J/wBosMe57VOnxRttTRo5Y9PRo4wiMYUttnuPK2B2HBy4br35r1nE+d5raHtUIz/CW+lSnlfu/QV4va+JXk/1V4zBf7kp4P4GrkPiq+ixtvrwH1Mzf41nysrmPXYm3H5QPmHAqUn9wN33fX3ryaLx5qkWD/aFxx0ywb+dXofiDqygf6ZuHo0a/h2ocWO5+v0F3NH91jx0Jrl/iB8RdQik/sWwnukuLofv3gk2zBD/AARn+F2B5f8A5Zqd2QSprT+KnjyP4bXWi2NvpGqa1q3iC5+zWVtawsY127fMlmlAKxRorZJbrjAHUizbeDFhvZJ3WOS5nP76ZU2mYgYHqcDoBk4FfKylsdexR8Fw3HhbSo44X8ti3mOYiVUNgDC/7KqAijsqqO1bmo+LNSv7SOGa6luI4zlA/wAxT6E8/hnFWrfRCypwDx6VYXQN3G39OlDkZ7FWX4mat4jSKLV9SvNQNgvlW5uZTI0aHqATzjgcZ4rjPFfhe38ReJZpnjSRWxglARzyf513U3gW3ujukjk+qOVqfTvBsdm3yhz6bjmtPaO2ordjzu3+E2nyuN1jat9YV/wrxH/go34tbwR4P8D+H7e2tRDBcz3hSKLDFGMaOW5+mOD0b2r6m8feINP+HHh9tQu45JpJJktLO1gGZ9RuZDiK3iXu7t36KoZ2IVWYfGf/AAUh+HGoaNpnhfVdfuJb7WPEi3b3CQZazs/LEHlwQswU+VFuYA7A0jEuSpcgduB1qpsyqaI+ZfB+mSaNc310wWZVmZbVJPlVirEIxJ4IBYtjGDgZ44P1B+z3ayHw5BuLSHGGZhyxPPPvnrnmvk2fXMQx2sPlxssQitwSQlmgxt+pwBljyDnuRu+sPgleL4a8AvdyKf3ELbfNOwDZkZPscevQ12ZhL3Ukd2Upc7k+h6X4i8VaP4Fsmkv5o5JWHyQDljxyQv8AWuA1/wDaz0nTdOkaO3tlEa87ZRJtzj/OOucDrXifxZ8T618WNbb7PcfvJA2SqgpGoPJxwDjA7fnxnhde+DmpTWsa3F4CrYJVlVs9cd89+h6H86yw9GKXvbnqVMVVv+7Pata/bn0TT4naWZomlPVYSuT2OTnA4wMnsPrXEeJf22Y9deaO1WPy8/KQdz7foT+OQTj2rxLxl8B9StW3W+oLtBztZeCfUYz/AJFcpB4Lk065DSSDCtlgvBz6j9fzr0I06dtDH69i07M+n/Cv7QNxd3UU1w3Mf7uP5iN+ODnOOen0z07V7H4A+Ji+IJVuFkby94VCzem3hsA/3cY9vevijw/qsOmxRLuEzZyNwwc9OOeO35etfSX7MulSXOlBcSb8bUCp93gEdx6da5q0YrVHuZZjKrlyvU9O+J/iyPSbue+jkyuEVsk444DHoRk8df7vTIrwzxP+0/cRal9jj3yTQy/MwO7cWBUDB6n9BnmvS/if4f1S60O4jxIyk8u0Lbc/mfUfj9K+XfFVguj6lMpWSMyD5j0Pf/HtSoqLRtj8RVj7sdEbXib9pvXtKkmt11GSNmG4SB8si+gYfKv15OM45OK4a7/au8Wa7qa28d5NMQxAbd+7XI6AHg8Z5OSeaoavFpdzI099LGoUAEyzbf17/Suq+EGteEtOv1kXT7qa4z8rQae7jPbB24rqTitkfOz9tUeszrPAvivxlLDDcXFrqd1My/uSPmYcY4DcKOOTjJAA64z1+j+OvFGj6kt3JcX1ksBPEIxhv7xZSCD9GB+nbbs/jdpfh23Rm0HWYbfGDNLp8m1h/e4Xtnv61tW3jvSfiHpbSaa9ndWoOxsbd8LdScLkg9sHkegNcdaa6o7KWHsrqVz0T4e/Ha68UNZ2eqRTTTX0BWK5IXe0igNtfGMsV3HcQDlMc55+U/2+b/8A4RH4sWNxMqML1PIeIEnfhArDnsVcj6kYwQDXqngaza18aWbRxwsLebzdzEpnGSOWDZ6dNwGcHFec/wDBV/RY7Lw14J1YKIWmv3gkZctn93uUZ46bT1xwKywlo10l1MMwblhm30Pmv4k6ysU9jdM0j/ZxbxFmPVQSCc+6uDW/4P8ADy6pa/Z5FPmW8ankYyOm36+vXH4iuM+I9wuqeEY51DnzrONAvcOETDEdz8p/M9TXvnw80htNu2s42h+2LHn7RJbRzD5cZALqRkjt1wSeOMeniajitD5brqYWifBDT/EAMy2+ywU7ZtmDJuHXAx279/T36fTv2Z9FurRp5tS1S20pVLRXEVzuUoOCWwAFXOQCMggZJHfrIzJrFyy24htpI/luolj2Ryjsq7cAL7gEAfLj+7ueGLn7Zd+Zbstpb2bb5LaRdkcjj+IHsqkZ3rlSw77Tng9tPoyrnmfiL9mK10D4KXHjK88Y31jYwhyoEJkxtcII3O/hn+YrtHJwpwSM+C+HdU8eWmkGSx8I6pqVo0jOJULs7bvmGQNx+6V/ya940q7m/ab8ZzH7TJH8M/DN++oRWkx/c65ejh3wOsSdyMj5uhLtW5pNqmm+PNcjulNjcXlzFcxWonLJtljX7qg4PzRuSQBjB6AV1U8TryPccYtn7BXunyPldvDdMHrUdnpbOW3IRtPArsRZLjO2mjTvXH5V8lzHczCh0zaR8vSpE0wFscdMYra+wLn270q2qszbfXmjmZLMpNPCn7uBU39nNwqqGLHAFakdnj615v8Atg6ne6J+zh4mOnXEtnfakkGjwXEbbXtmvbiK081T2ZBOWB7EA1pTvKSiQcn8NV/4Xt8SZPG7DzvD+l+dpvhJOqSxk+Xc6nj1nKmOI9rdNwOLlxXL/wDBUjwz/wAJ78JYdL0Ozkuj8PLe31rXbyP7unxXk3kWqnuXlaOdsDokeWxuXP0R4a8M6L8KPA0sjCHTfD3hPTHuJiq4S2tLWIsQB6LHH09BXRfDb4dyXH/BPn4iXHiixW38cfELRNQ8Va5byjd5F3NZbre0XI+7Z20dtar6i23feYk9+FlefN06GNTY/n38X3UlprN58sjbZG2KoOWJHynH0OBx157V9narE0Xwct02qq3FlF5uWGOQpwB3P+fSvk34maEbfxeVtG41EqYuTu2mNcEDkruJLZ4wo+uPsj4h+FRc+CYbOLd8sYiIC8FFAH9OP8478dJe7/XY9DK4tqXyPG9Y8U2/w68KytHCbi8upPIt4Y1AZmbGFGfzJPTGe1eL+PPi9LoV1OmoahdX95EPMktLA7I4cfwu/XI9R69BXqPi74cap4gvYYbXzIZItwWZuBAGHJX0YgYH1/PkNS+BcPhKGWCCG5kimjxMEk8zzeMEsDnPfp6n1qsLKF7yO+dOrblhoeH61+0Le6zceWunqsZQspnvZpGbHOBzjP4dakmtrp/Dtnq00N1aQ3o3QtDcluPdf/rcgV31h+zRoH2xZDZ+IL/zGx5XmKiAH12KG/8AHvXmus1jwAttbQ2c1nbxx26iOKFfn2AAYA6jjFepKVO1onNQw1du9RnjekWV8NsySG42sA3y4ZD2yOvNfp3+xx4Aht/BdrNJFmR0B57k+tfIXww+Ei+INZjZbNLe1syJJQFx5zjoPwNfcH7MV0o0uC1kaOOOPgFj909Sf58e9eJmFXVRifRZPRcJNs9D+Inw70/VNDkSaGIyeXjk9iPw71+bX7RvwxvE+I09rAxWGZd0bdATkhq/UbxFeBtBuljmSUleGPOO3PSvlX4hfCaP4g2F1NIoW8hkLrKOdh6/XB6fSubC1nCWp6WPo+1hY/OzU/DdzHrscdvbtfMspXz3VsDBwSAcDHpnBNcb8WtQ1zwj4uuLOPVNShhVEa3IkMQkBUZOBgcNnjtivsPxb8M72x1g2txbR2o/5ZyR/KHA6kHHXnp601vgHq2padHFH9h1CJgHEN7aRyAjOSAHUj15z37da96niIR1Pl8Rl85rli7Hy38GfHPjDUtWnSw8Rahb29rbq+2eU3EXmHAwd2R8x3cYyBx616j4U8e32qapHeXljHpvia2kVo7qFDFDqsXO9HXgeuP4QcHAHFe1+GvgVqlhaQwfYdP05VY7vsljHECWPGNuFHHHrx9K7rTP2edHNt9m1KGS+kkwfMYbWQ+2Dw2cdPx9uPGYqnJWRphcBOna8tTP+Gk39u3NvdR7VeQBiroFbnkqD0GDXM/8FWfC7al+ypY3sat9o0vV4JSrdQHhmQ499xX/APXXv3wm+A9voc8dteJJPa53IyOyMCfx/XtmuM/4KN+EEf8AZo8R2SRM0aPaSRs53YZbqMYPp1OT2Ga8rD1714W7nXi6H+zzj5M/Pv4Z+GofFeiaUJEUmG+wGPdIlJxjPctnj+6PWvRPFPjyD4Y+H5riX7QzH93amLmVpT91QefmJ9jx69Dx/wAIr3+ytJuJJlMdnpcRQTHjYjfPJL7lQqjHtXQfC7RZPGXjRfGOvW1tYaPpbldLtbmUfulI5uX+8gZiCQGKgHPOFVT7eItzXeyPh9tDGXVvjetikax+HVj2ArlEiltt2P3bEEEN2I5HqckZq/E3xR8avFHgq60a/wBF8P2tmo23EtjKkMzoo+aMMZj8p6EKATjb6g+r2SX2t3d3DoMMi2UEsm25uAZYpjkFth3Zb72BghT6gDFdHpXwO0+I2/2ya9vltiGWJpmSAMvC/ulwCB2DZ5561UeXR2RrGKaPG/AHx4+I03hOw0qz+FOk32j6UojijtLlkhyp+U5LMCwOScZO45ODXZfBnxN4z8X/ABfvrvxF4LuPDtmdLWJZ5pPOIKS7giyYG7d5hOPRMknjHsdro0dszbUVd5yffgDp24A/Kn6le23h60a4uZFhjXoe7n0A7n6VnKML+6tS4xsfr4LfAAx9TSSwcqARU6Nu+9+FDjnPavkuY62V2gwacsGD6mpGbn+tAORzRckaE2jgVxf7Rfw2k+LXwM8VeG7edbS81bT5I7O4I/49rlfnglP+5KqNj2ruVAIqK5Tzoii/xcVcZNO5nuea3Pj3/hen/BOb4h+KreGSwvtS8Ba2bu13bZLC8hs7iO5tif70c8csef8AZzX3ReeHLTxlot9byRr5Gp2skBJH8Eilf5NXxVo37NXiLVtM8ceH/DOr6Xpfhf4oW89l4gtry3leXTZJo/s11eWJQ7fNlt/laKTCeaiTbgTKsv3NocimJfLj8tQo2rnhQOgr08Py3Vu5z1NEfzPfGLwDP8MvjZPpeoDy5NEvDp80L7ldGVvLAwQAM4QHvnAx6fY2maDH4js1z8zsPkXdg++Pz+lR/wDBfL4VQeEPjlDrGn2YRrrUoorkKp2ysbW3eCVucZbypkz1YwknoMzeBNY+zw7mZlZVxgHt3/8A1+1bZjJ2ij2sl15vkY/iX4XiK1EUK+Sp4Z+4OD0/xrh9Q+HrG6ZVkHmR/IWI7n9OPWvbJtejlceaFkZuikDb3qj5Vjq+9Rbtlvl34wABwK4KcpJn01PD3PFH8D21krNOTcJtBSKMfe+pP+eKqTfD86x8zQx2o24MSHdn2PA4/wAPU17avg21jeOXyA7LnbkA/wCfWsfxELPRbK7vLhBuUMygjGcepru+sNKyOqODS1kcN4c0I6FaG2hjDSXPybQvO48DAr3T4OeFjodjD5i/vE52M/Jz1GPX+fP4eQfBzWIfFmq3GqTqz28J2RgD7xPQ/hx+de26TrltcQOsMnzqMAmTaqkYJx7kd+KwleTsdWCjG7kjtNQRb+xMeVX90fLUHrjofXP09K8b1VV0XWZ45D+5lx0PGRz/AF/Q16d4X1hUuvtN3cL5bOUTbk8BR07ZAyPxrlfizYw6npzeR/rLfLLIfvcYwCcelPkaZ1Vkkc3ceALTxDDskjhmj6YUg4/H2rJm+EN94M1TzLS3W7s8ElSgYxgkdMnr16dhWV4E+LEfhrxV/ZmoL8k3MJbg4Oc9ug4/OvdfD2pWusMGhkykkYLY5Ck+ho55R0MJYaNRcx5nZaRDcH97Z3aSL0EKnjjqByPyxW5ofgK11KeNljeRUb/lqm0j6cgH9fzr0BrOO3l863X5s8ENtXOMfyHeqLaxBohm8yz2JuVQ4A+Yk9COMeuT6/hXHU5nsZSwyitSxo2lQ6fDlvvQKSAf5/Wvn/8A4KDmN/gN4mMjBo1sjM+3nOxg364/KvatR8WrHNyrKpYKrNyoz046/wD668J/bAuX8V/CLxFY5R5pbCZMo+RyMAAduM/55qsNT5akZLujgxkV7KSXZn5v618PfiNq/g/T9N0XR7fUtIAjnlAuIreS8fO87jvRmVTtweTkZye3Y6b43+KmgWf2W5+EcN9aLtItrK7SG3Q7QP8AVrvD4AABbdgKMYr3P4bpbvoVuyrJJDHEItytt84qMMeh/iB45NdZbRRlAVHDHoOeK+mm4vdXPz5005XOB+Aeva5418LXt74g8M3nhW8W+ZFs7klmdAkZEgJVflJLDp1U8130MKg49R37mo9Z1y08NQCS6kVQ4yqBdztj0H9TxXnfjD4hXXiAyRqzW9qT/qw3zN/vN3+nSpjFv0K2Oi8U/EW10ffHa/6RcfdJH+rT1ye/4fnXm2veILjXbzzbmSSV+gz0UegHQVBdXu4/KfoR/KsXUdQaVmWPd83Ga2tYNz9+xLt+lO+6BzVZDhx/nNSNIR718MmdbVxw4OO3pTzUXmikabHTtV3IJXOxs1Y0eD7VfKD8w6n3qiZGY8D8a3vBttzu25yepqY7kvY7X4Z2K297fJ08qdZF+joD/MGvXtDk2qoJ7d68o8JJJF4rkVdqia3QnP8Ask9Pzr0zSbhonVTzxXoUJNHPUXQ+NP8Agt78LIfFvwAutUW2WaRdT0SOaUIP3EMc14GfcOeBcYOc4yMdTXwvb6utjbI4bZsDZUnoOf8A69fsD+2V8Nrf4s/sseOtJmfZ5mlvdo//AE0tiLhB7AtGASOxPWvxlvpC1nFI4HTdgD1HIH5iurEe80+h6uTztF23ub2n601yytvUhWC5JPI9uetdd4aWSWzkkDdB0K5GDxz7/T0rznw6zJJJI0fyqAoyp9Qc/pXWaTr7WoVZCzRcDCqfl6gfh7evfmue2p9fhaitqdRf3o0mDNxIrfwqQRnP/wBf065xXzV+058SrjXtdttBsXb7RqEwgRd2OXIAzj3PPpXqfxL8ZR6Vpc0qyKZdoA6447j3Gfzr5zsbS61Xxs3iBgzG1lzAc8EjknmuujTvqzur1Uo3PVP+EvtvhdolvY2bbo7SMIZTw0jZ5Y4Pc/lUOn/tB/ZbrzBJB5iuDwzKSuec8/4B8r3B4p7yhRXuBWLqsQ546WR43cqQwrbXMDFnBi6vSJBeif8tPW85a7r7DM961Jvk4hdryZoByEp8GC8HzsqJpRN4FxGM9+lftIrGv/HwpErY8zeWG7oPpwOeBnHrmqus/tJQXc7DzkkYgIqhiN2cEkj8Qfw/GvkebxdNHAwEjqoXjn73HrXm/iD4seKND15buO+tfs8Zx9jWHKtnndu+8SRznOPatI0XNGtTNEnqfa/x2SPxF4JtfE9k0kd5prASBeksZOAx7jB499w9K9B/Zh+OLa5olvFNIrNtwM8F8evqcg+/Oa+dv2fPizcfGLQf7Okj2WrptnBHTocdM9QDWji4+BHjqNRuXTrxiYnHzBW5Ow/ofwrllS0t1R6OHxK26M++NG15NTt1YNt43eWSAc8HOO3/ANesvxXex2yMFWOVBh2w24rj6dsdx6V5l8NvipHqlksi3nzTLgoMfKQeMHpj256CreueMc2zR+c3nM5fbndtBy2P1yB6Y9s8jpnRWq2Q7xRrH2+N/JnEEihX2qwGUUjJz3HUE/T1rgfHcUOt6OtnN80d0qxPnJDoeD9cgn863LoRahCxMAElwCMFQOMHHHbHX8K4/wAU3nlm2tzLHv8APSNSTnA4G449GI4Hr604xvseHVqOzZ57ZWSwG4YNGLVJpDDtIRQm44JIAx6Y6dT3rB8RfE2OwDw6btkboZmX5V/3R3x6nj61h+L/ABFe317NazERJDK6GCMnbuDHOf7xznr+AFc3f3fkH5tu6vehT6s+GlLW5PquuSXlxJNNK8sj9XdsmsxriSVyqqzM3QDmnabp114jmxAu2FfvyMPlX+v4V1mjeHbfRIgY18yY8NKw5P09BVSlYUbs5OfwxqUybVs7j5hydhqu3grUUcf6Ddf9+zivTIjtGfb8jUjAhedxGaxlUZXKfsekn4ZOKXzuahEgYZ6UjyKvXrXxp1D2u1D7ed3uKcJ8L9feq7Sqy9vm4P0pI38uX7xPpk0E8p0/hzwr/bll5jTNGN5TAXrjHP6/pXo3hT4cQ2qRq1wCepwn/wBeuL8H3a6R4Yt7m4lWOFImupHK52qcuT1HRT+ldx8P/GVxq3h/Trm+s1try6tYpZoo3P7l2UFlyRztJIzxnHavbw+DpuKcjGTZ13hr4fxHV/tEdxu2rsxt5reu9L/smNW8zzNzYUHgscE/yBrJ0LxbDF4gtdLht5GmuYJblnaTCokZRTnjPLOorW8UXrLPbA7V2xSScN3+RR6f3jXdPC0I0JTS1ORyk52OX+PP2rWP2ffHVnZELeXHh7UI4Mjo5tpAPTvX4qauim1t1RmyqnaSeScAV+4tpBFrem3Nm0n/AB+RPA/GSNykH+dfhwJ98VuynaVAV+4zj/69eZzNo9nK9G16CTNNpWmJIJXaSNwpZV3Feh5A7Yz+dQyeKW0+ZGMjKoG0gkfeOTgjJz0J/D1qxqs32SwWONWVmJYg9yBXJapdvKfvhfl3ZzlTz1P+cfWtKdtz6CjdO5jfEjxHea3OtoAuHJUYI5HdsY4HX6498VJe2q6X4Ojtwm35QNrD73Y49zz/APWqHw8YXlm1S4w2Qwj3YIjT1Y9ic5+mPfNTWvEcbzGOCaGQxEfOzBlHfGD9cfn2r0qUbonFYrSzPKvG/wANLLXdSWeOx2MV3AiMZByQAD0H/wBbtWDZ+FvsGyOWBt0QDb8YDAjkj8cYBIxk16Vri7RJJJN5cjKd6Z2oyj7uMDOOTxwSR0xkG5B4RkW7hZo4VhdQ7BTtwT0G78MnsOPUV2RkjzFzSd4nnp0KK3uY45tu6YjYp5wSuSDjr+Falr8FdP1S2jvHhWSO3cIoZAd3znIIHVRweuevStfUfAF55/l+XHMwO2JVTOznBBIGSRuABHXn3NdvpHgu606WO2jsbxWXEyKpby0/yeSD24z0qpyjFaGlOjUndyWxT8B6BZ+HbyNrWMwhDkxswUZ5yCCeNy5GDnOPTmu28TaBb/ErwdcQTLtwF8ghTvB7OPcH6jtXP2cLW1s17qm6RQCrRtgJvXAHX1+YcjPB54q0nja00/7GjeSyyISHODuxwAPQ4/LpXJJdUd+FrWlySMX4U+JbzQb2bTLpdtxZv5UibhgdORkdCMEH8OK9S03XLjVXDNNJDtUsqEYwOnTJzz+XA6HFeU+ONUisPE1n4g05XcEm2uAFCBxnKkc/hyB96u+8JeJI9eX7ZData27Iu9ZWxgDkngcD73pnFcc7RPSnUk4HYNPJc6Z50eFwu3avIIC+vUcj9Bn1riPFkzQwSXc3zJD8wMZ5VVYknr/sjP8AjXVbTpUcn7vzFZQJVVQox0JAHYD09uBXnXx71ux8HfDTVdSkZbW1sreV5ZmUttAB+ZguW6k9ASePWsIq7seXWnaLkeN+LvESjU7ib/l4vZnkVByQWYnH15qvpPhOS+mWbUGIXORArfM3+8e30HNcNon7QvgGzk81vEUcl03WaW1nUj6ApwP19Sa6fT/2i/A8hXb4q0pc9fMkKY/76Ar3mnsj5Hd3Z2VpdWse2GJ4VC8BUYAKOmMVoIMqQenWvCfCXxG8J6X8VdYVvFml2tjMfNt7qOfzEk3K2UypPdufTFexaf8AE7w3dn914g0GTcONmoQn/wBmrN03YfMdDAmFGM46ZxUzQ5Rv4vwqlpPiXTb1f3OoafNz/Bco2fyNakW1hlWU+4NYSTW5aZ+uTSgoMFfy60gk53Ej6moN+frmnFsDbjnrXyHQ6CUyYBJ/lUU11tt5MfeZSB9T0qGWcr19OBS6QPt2vWEP3hJcKSCOML8x/RaIxvNID0z/AIRuDX9ButHkkkjt7q0eyd4iBIiMhQlcggEA5GQRnsa19S8PeJrdt+la9pILHOy+0lpR+cc0dc7rfiO58L6fBd29peX08k4jW3tlUyS5RyBlgQq7gu5sHAycHpXnkf7T3iyPwDceKLx/CNv4ftbaa+luZr42qQQRSGOSRzJHkIrqVLkBc/UV9RT00OeSufQ/wc0DxGmt3GreJr7R7i6WA2NqmnWMlqnll1dmYPPLklkUDBHArpPHWseRq5Xd8yW8agE8Dczk/oFrn/gr4uufF+m3U01vLZiCZYRDMm2WNxEjuGPAYBnwCAAQM96j8dXLXOvXm3d/rUi4PQCJf6k0sdK2HsjKMfeOq8Jagsh3HG6Mg4Hevx5/aN8Fn4bftB+ONC2PDDpeuXa26MekBldoST6mJkP0IPfFfrp4RX7JGq4XO3nHSvzu/wCCsfw9bwb+bc1qzk3kxhdxnzkpdgdn9ueg34y08smxgfv0hxvcu3+Eigb/tr7GvKp/CduBlarbufKd/fN50jfMOCcE7sdQD178cdeaxFZrkKZG5YYAPQAdvwrS1O43TtuzuyADgc/Xv1zVWBFW0kZlDYH7sh62ifRU30POdc8QzaDYG3Zg3ltz8udmOw9eMc9a4ux+J1tP4lazluI45HIfy920jucZ57/AK1d+KQuLme6+xrJEVYg5wc5yCQT3/Sue+Hv7OWn+IJHutQs4p7if5nkkXex/wA+ntXqRmoQuzlnTc52R0Hif4xeG9AmaO6nS8vIwRHCjbgOmfYdM+nWqukftcRjVA4s7JocBNn2hfM2j0HQ11unfAPwPpNt+80exVwCTLtC/l79etWdU+F3gW48vzjDHbpygZFfGeOT7/rUQnCW9z08PSaV00LP+1R4fbR/tSpIt4qdo9rc9vTjOeuP1rzrUv2vNcuNZefTJFNrv5SKFpdwHGCy5GT7Y/Suxsvhd8M7Gd7pvL27sqsUCkdSB+J644PNdl4cm8CwSfZ7Wz/tBoiVZpVVQueeFx+H4d60lypXd2dL7KSR5xZ/tjL4utf7P1TR76HY2RPBbSyRjjuNhA6/l61wOv8AxfisvFiWqw6hbw3D/upbm2aFSM5wuRx24OM5PXpX19o2l6Hr7bbaC3hiKkhIkAyAc/l7fhXG/Fb4G6b4vs5gYYVcFnVtuGUrzkH9fSuaniIxdmcdbCyqPmi9Ucp4J1qPxVokVn+6UxyK5XeSW+bnjryCT/8Aq49d0nRU0VI1T7wXjPQn+g49+lfPvw30y48LeIVs7t2VRLsSRSF4GRgHPqRwc/pXvkd351vbkM7FsKqlgSMDJOfU9P61jiNy6MkoXZoahqn2KYNIwYbDhDk5+ZQBgDOeMDHvXzz/AMFEPGzeB/2fdRjjczz6pdRWSIzjALuZGx/2zR/517hcai0jeXH0twd7DnI7e/bPHpXzX+2H4I/4XTLp2lrfx28elTG5ZWjMiu5XaoYAj7qluP8Aa69j04Gm51UjyMzxCjSk+58QnxhLEQsljIMgHqOcjI7dwRQ3jiNyu6xmPvsBxXtP/DE0jSs76ss7MdzfvDCT+PlPVl/2K4RCqrJcI/8AEx1lXB+i/YRj/vo19D7Fdj5X2z7nhUni61YHdYydusY/xqnP4isXHNrIrNydo6V7bqH7El8kRMF8d69tyyZ6+yfyryjXfAq6N4m/stdRjvbgyrBugVGj3s20LvEhXIJ55wPXrR7OMQ9o2YUnirS0b5rGZz/vDn8MV6f+zL4kt7D4teE9StovssQ1SK3cf7Mp8lifbEh/KuG+IXwO8SeB7m3bVtN+yJcbvKYTxS+ZtxkfIzY6jrjrV34ZtJozIw+WS1njmXj7pByP5Vz4iKUTWjJylY/qIBJO75vrT2m7Zb61RsWdbf8AeMzSZ5JNTM4K/wD16+Ajsek1YJpsnb0Pr1q/4Ethc+L4y2cW8Ly9cfMcKP8A0I/lWS7jdndzjt0rmvF2qeLbCdpPCurWOl3JGyU3Nkt0si9QAG6fh1rXDtKonIUtT6R0HTIbwx3DJI0lvlEYSuNu7GehxyB3rptL0u2n1v8AtP7Pb/2otv8AZBe+RGboQbg/lCUqX2bgG25xkZxmviQfGP4+aCu2DXPB9zFnO1tEwx/75er2i/tZ/H7SpAstj8Pb6PPWSxuIz+O2YfpXuwxFLuYuLPvDwxokdlNcSQy3JkuH86QsVbc5VV6bR/Cqjj0rk3lk1TUbqTzPvXUrAkgZ+dhz6cAflXzx4O/bi+L0N0sd54L8CXTOQMW99dwM57AAiTn8K9+8Mxy/2fbfaVXz2jVpMchWIBYA4BwDnnFZYzEQqQUYO5motPU7PRovs1uq5DKO+O9fO3/BWf4UH4gfsvL4ks4TJqXgK9XUV2qC5tZcQ3Cj6ExSH2hNfQOk3HK/eZRxirmv+GrHx54X1PQ9TjEul6zaS2F2meWhlQxv/wCOsfxrljoEZOMro/CXxle/Y0SeMtJHIAwPIJHQfXHNcxrev/2bp8jSMyljlWQ4OeccdeOnFdv8SvBt/wCAde17w3qlvJDe+H9QmsZlYYZdjlD/AMB3KTwcfMPXNeZ69YySWu3az7dwZmbPGeB+uK1i0j6TDyd7pmHp1rJqrSMw8xJieoyuM54FdJoczaLIE2+WuD/wEccUnhXS47Oylmj8xUXLhpMZUY7H04PNavhnw/8A2qJpLoxlpiHUj7wxx36dhirqTuenTilsYPjAzaijBdmzBYE9h9c9+K8v8QW11ZyR+Yks6qCAqyZ2dxk/n/k17xP4Py7W7RiMSMfvNwR1xnp/X2rOn+Diy27P5NxcHdjaiHgdfvYGa2p1uXRlfVVJaHhGnahPLdJMtqeWwyFBkDvgY5OAa6nwpZT6hqCSTLLCqkoI1JG0cd+Dg4z/AICvQ9L+GWnwzr52mX3ns/3Xj8sY/vZOMH2Fd94a+GenzQrG1vDsxlMv80YJzyenHHrWlTEXVkOngXe8jE8BWbQu3ltIsalRz6Zz7HjJ65/nnqbx2vDIqt935CG7jAq5B4Vi0aaRIt6rGQdjAcjbnj3PFUY9NXTryRo1a7mmlVTtO6SNT90Y59s/hXBJtu53RioqyPNPH3w6+xIZLVuNwcEudykcnt+v1rR8OeKcaGtuNqNGQXUjPJ4G09OeRxwea67xFpSNprRsZJGkO75fz4+vAwD3rzG4X7LM4RlkjUlgw/vnjCn1BGPbNXGV1ZnmYu0XeJ109+bc1qzk3kxhdxnzkpdgdn9ueg34y08smxgfv0hxvcu3/eSEjPYdvyFesX/h9vFHhdoxqdjpMMTRyXV7fRXklvuLZCEwQy7WPzH5gBhTznAqTwz+xh4u+IekXt/wCBZtF+JUWmRpNd2/hi5lnvrdXLqp+xTRxXT/NG4/dxMPlJ6cn2spdON3KSuz5HNpTlaKWh5fBafLjr6+1U/FXiHT/Bmhy6hql1DZ20Q5dycseyqByzHnAAJNVf2jfGN3+zFrH/AAj/AIj8P65pvi54xImkanZS6fMinGGcSKGCnI4AJOR0BzX1F/wTD/4IA+Kf29ItP+Knx81W90PwPId2meGbBvL1LU0z/wAtG6WcB44GZ3GcmI7Wb2K2JhTV2eNGi5Hwjo9l8Rv20tYu9J8B6LfWvhq1OzUNRcNHDED/AM/E65CgjnykyxHXcOk/7TH7Hek/s9/s7zX9nJJqXiDT7+bc1qzk3kxhdxnzkpdgdn9ueg34y08smxgfv0hxvcu3+1X7eXiH4S/si+BLb4aeCrPQ7O70WERW3hfQlVItKBB+a6deEduThi0rZ3MOd1fkv+1Nr+tfEfwB4wsLiO1kW1tBeSJCNixIjCUEKSc42e5rijXnOXPPRHd7OnCNlqzzT9qiyTWvh9pWpxtuUXKOp/2JYyf57a8F0aLyNUZf4mH5d817/qyf8ACV/snWM33pIdNgdj6NCVDZ/74avBorcw6yh3ffIHPbPHX8q3xUW1ddjHD6M/pqE2E/xpFn2jp+marRybeG607cArevpmvz21tD2CeSUsvoSePaktUS8cr95h1BFOtNLu79S8VrcSxqMl0iZlUdOSBVxNNn07aLiCaBpFDp5iFSwPIIz25BzRKLWpDC18KW93t3blzx8rVsWHw70ooGm86THYy4/lim6UFCqp3H1rpNO0G51m0k+z29xNGvys0MDytnHQKgLMfZQTiqpxctES9NS54P0nTdHLG0s4Y3Uf6wR7pOe27r+Ge1dlps+8fxD361yFrpQ8IQ2z3trrkBuiEiD6Pe4dz0XmL756BepOcV2fhbwr4j8XQxtYabd6FZSJ81/rEKwyxju0dqSzswwQBMEXOG+dRsbup4Wd7NGEqkd7mtea1a+EtDbVNWurXSdMiG57y+mW1tkH+1LIQgHuSKoRftCeG4tBbVob6K40fDNHqCgrb3QVS7tC7ALLGqgkyoSmQyhiysBt6R8P/B+leJYdXh8N6NJrFllYtYurRLnUyTwSbpwZSx6Z3dMDoAK+Yv2/J5fjB8Srfwzuma11nydLuPKcowtXuIHuQjZG1jDDINw5BPFdHLTiiacZVJqPc+Mv+ChnjHS/i18cpPiBpOm6pY+HfGkEU1pdXUIgXVjbqtvJcQJuLGJmiBBYAtgtggg1826zerDcvC3lsrONob1GCD/I8+1fbf8AwVY1S11nSPBdrZW8Frb6AlzZ2kESeXDFEEg2qqgbVVQgUL2AOBxX5/eNGkZFMbvDPCgDKAMOp9O+Rn17D3zz0pKep7/K6No9juNL1ZL2yjVV8tRgMMggj6njIGParFjquxlbyHSFVDHB2qDzz0OeOTj8K838JeIJbaTbcFBubKjPO7PA/PuOx7c1176/BDaGMMDuO9kOSQ2cdemP04GOtdHJ0O3C4rW7PQ4dUTUpfLaRpn3YDr8qk44BI6j/AOt6Ctmw8Q2torJIw2qQgA+ZvTPHPY/TH1rxVvGElnepCrJIsZJLBzwc/jxk4zWgPixbSxb/APWo2FMa4+Xvk89T09PTpWnsWevSxkEeu6jJa3Bt7iJYWWJmWVW6Lz1/Aj9ajE1nBCv8MnmbkDNlZMgkAfTFeY/8LNttRhb96f3aghW+bkZBXjrn39fwqrb/ABWkRvMHlz4fdjaMoe4UZH+zn0xVRpWNZYyPc9X1rXbeJpP9MkEYkxIGwyoeBsPt/nNM1K9s7dVit0ELYUxNgcEdSp6jHoRjpXkt74vbUYV8uaCGa5POUDDIHPBxnvyferGsfEmW7s9i3DSLIuV8pvn3ZGO3t14/GplSvscdTFxsbvi/xEdClm3FftUhlWIYBVwxyCQB1BOffn1IrgH1L+0rvdIUEiDCIjYycjj0zj61S8XeI21CUM8iNJHkR5bJweg6559faqfh2y/tLy5JPMkWPIV3HDnrzz1OD19evUUlFRPHxFdzfLE+wP2HfiJffCm2uZLcXUMepT75GV8Bljwqr1zx8/XI5/AfXzeNfCr6bZ+MrjQ/DbeKNDcT6frAsYY9StG+6Qk6gSYZWZWG7DKTkHrXxR8InU+HbBVCgeXuz3QnLf1H510njz4uNosFpoqzfulKzzjPDKMhR9Tz+VeNTcpV7rud2MjCGE97sfoZoHiXwj+0zjw/8QPDfh7xhpq3qyWUGrWUVytlL5pTzIt4by3AbhkIbC8Ec11XxV/ZW8QJ8JbfwN8MfH0nwt8PtO73LW9g97eeU+P3UNwZ1eFBz90b/SRRwfjv9jH4jzX+r2l3JLsZpUkG4kF2O9z157qf6V9YfEv47SSeHnsrGXfdTCOAMvLMzEAgcdR9K9aOKlCWj2PjJU7s+Gfin/wRW+KHhy7vNS8IXmg+PNNkykf2a4+xXrFHk3Fo5iI8/MfuysSQfx+G/wBpr4G+IvhB4j8QaX4o0TVdB1TUNIaxa1ubcxygvuVJNrYDRkFhuBIODjOK/ow+FNrH4R+H2n2dxMvmQozyEnqzMWP8+teb/tAfs8fC79rVrO08ceG7XxAunMVtrgzTW80AY/MFliZW2kjJUkqcZxXoRx6lFKojKN7s/mR+A9sfEn7PV5p3O6F7uzGei78yL/6Mrwyaw2RRSfNuQ5GO2Oa/pVT/AIN7f2dNK1y4m8O3XjXw7p97MZ7jTLTWluIHfaBlHuI5JE+6ON5HoBXgnxU/4NR/h/r+vSSeEfi14s0HTZHLNbapo9vqskeSSQskclsNuDgAoxHcmu6pmFJxSIp02j6d8C/B7xF8QQZdJ0ya7hHHnkiOEHuN7ELn2BzzXo3h39izX7+4j/tK603T7fP7zY7TyAewwF/NhX0PD4itIGWFdqIp2Lt+6P8ACk8Q60LbT2SNv3kvyrg9DjrXz9PC0ErybbOiWJqt2Ssc14Wji0eeHw/ocbW+maWojlmP3pnAHGcfMemT0HTjAFM8VfAzR/FNyzLbSaZIxZ2lspBHHKx6tJCQ0MjHJ+aSNmHYitXwRaKsPyrtVSTkfxH1J/Wt5pWa4jC8Lnoe9dG61MZNp2R5Rcfsu7LkJY6tZvGGLSNqGjq7YOcBGt5IAMcdVYED8R2XhHw5a/D+zs9Nhma4mmkAuZyAplYAkAKOEjHICjpySWYszdB4p16HwvoFxeSsqLEpOWOBn61wfgrxOPEOrR3BaOTc5KlTnt/gaqrGNLSK16ii5VFeWx28GqRT6r8zbZGjKqp4PBOaofEDXl0Xw3cyM/zTDy1wee5P+feududV8rxQu0NsXIG7vyea5H47+O9klparJ8u5U565Y8/pWUqzsWqWo99Za0t7ceY2WO4jvXyn+0d44EHx2sLxZFxbi4cALnH+rXPHfD9Pevc9f8U+TIq8loYy3418V/tL+M5G163voY8yJNOPnAONsbPn1+9APyrDfQ7MPJRqxk+6OC/bU8Zy+JbSG5aRZFVwUGePmBJ/CvkTxJettm2CNWPzKijOc9vocenPsRivePj74r+2aNbhP30Zjj4OAJBt59ueeP8AJ+ffEUfkuxVj877VJHzDHPX8D+tZ4enZWZ9HirORz9xcLNMzRnayyhysgyyevU9v8Pepm8Wzwrtk+dQchwNzIAevv9frVHXba4nlWa2b7q4kA4L85/Hnn8K5+LXvsFzsZsMflKuPvHvmuyJ57jym3P4hjtlkEEwXcwO0ttZ+gP6DrWVN4k+zlt7bmK4UZyMDHf1OPwyfpTWube8RmdI2I+XqeBz6e9WE0mG8VdqROvTPXB471tGo+ppG7e5HYeNPsT7mdpJWB4xg5zn6dxUdz46kmGIwSzfKSucDnsD34H+RV5fD0LTfut25eMkdfrVg6CqqFVo2Mf3gw6ccf0rTn7FyjJLVlA+M7q9VUk3Hau0DaW3HH54A/X6Vfs76a6hiBjaNYRlTuJbPc/pn8abKosoQFRW3EICp6A46/jVeKxutQ+XdkffUqOvpzxWfM2ZSd9i5Frhup/JVflk4JB6DjtxXaeDtKW8lWONGEMahgcbdxPAGevUk/nXM6Z4a8sxiPd83MhB64IwB+tereBNEbTp4RMyiSR1JTOdrcYx64/qa56stNDSjSfNdnsPhUrZad5ufLhtSpBRsAgZ6e2B05rg9a1dvFmvvc72Vbp1fJ6LEPy4wM9O/5afxA8Rw6d4bTTYZP3l022QKeRGB83/fWdv4+1cdprSXmu6Tp7MWm1m5xKBwot4xvlJGOhwsf1kFcmHo2vNlZtik7Ul8z374C/ECfwo0F40v2eHEl9tPy+Wm0rHwR1K4J/Wvpr4K/EOTxpqmm3Uj+ZFbzfaiM4Y4HHt1NfDnxC1iSy0mZhJzNIFznHyZ4/z717t+zb41bQ9Ng+Yt+7GSR0PfmpqrS54Z953XxgeS3aPzvmVP72M/hVDSfjALJd2/g5OfQ/4V836x8VP3ilZPm28kc7e1bXh3xh9vtSdzKGUHae/tVKQuU+mtL+Nkcctv5z4Ex2gsPlz6V3Fj43WeAyeblWHG0/8A66+R7jVJZdJyrKXgxIo9vzrr/h/8VZE/0V2znIweCD7U9Q5Ue56d4jNzLcRttf5SGG7j0yP89q3tT1xksrWFm3TCIF1/uMeT17jp+FeYwaq48QW6qzGO7AcMGztHVj+WfyFaFz4pmvdYDKzZzkA/eAHt+lbQFI9c0TXYbLTlWPCs3UE9+laf9t+VNvb/AFSjIJPH/wBevL/Dl9ca1q1vCdysx+8RwB3zS/tQ/Fq1+C/ws1DUnkX7RDCVhDfLvc8KP++sVXNYxlFXPKf2rf2hpvH3xYs/BmkTSrY6eRLqDwnJMmflTt04PbnHpXqXwZtfsekW900bQq8YWJQvVRwD7Z6/lXhH7Gvwsn1nRrnxd4lZptU8QTGXdIOkfU4446kf54+iJdY+yXQjh2rHCAuP4RSnJy1L5UlyoyH8RtcvHM3y5JG4t19a8a8f+PDr/wATVt49zx2YLlhyoPI/qTXV+LPEcmn6FNN5gSSOSQAdvvEDj8q8m8PxsuoXN1KzNNcyZJI+Yf5zUxfUqx0XivWyEkbcp/dnnPTj86+NPjNqDXWqXlrKNu27lRcEgiNz1z6YlI9K+qPEV8qvjpxjn0r41/aI1OTQtV03VGYrDd4t593ChhlD+O4qfwNRHVj2PBvEHiX7dpsdnlf9FdoWCn5lIJHPvxXBajK7zTwyf6xT8vOOfrius8aWw0vxneNCqr9uYTMdvys3Qn8CCMVh+NtJJt0ukH7xsZzx0HNdfKuh71OTnBSOdkjNteRiQn5s+XJ/DJnjn3/z6Vka3oEN0rtHH5dwuc8HHP4d66XSo01eA29xtyDwxHT8Oxq5eeGjp8cnl/6VZycsejx/h/h6HpVpFcvMeUIs+nSMrMscmSEY9Ce2as6f4jMGVdWUY/g7npnNdZrXgq31C3Pk7l3NuAB6g8/lya5bUPC01tN5aqxRjnduzt49K05UYODT0NWx15FiyJC3HTOcU6PVIzb/AD7jIzEDeN23PBrl7jRptOuR8zKrcHjNaOmQPu2zKx/iXjrVco5Sb0ZqyjzpxIxZUUfc9T7+tbWjLtlXYsjLjkJ05/wrP0mz81kMasxP8J+au28FeDvt5kmmBitof9YVHXHRQen154qXsaU6asanhPS/ssDX02xVU5g3cKzdPyUfXn6VrW2sx6QWvbiQRtH8yg9uOB+PX/8AVWJrOuyoY/3EcaqMQRZyQOxx2GMfXrVWwabXZkMjYt4SdpJ/bc1qzk3kxhdxnzkpdgdn9ueg34y08smxgfv0hxvcu3/uPFOom4mY7WO4gnaI1H+AP/fRNaHwgkbxT8Stc1pvlt9PiXTrRD/AgO+Qn0JYpnvxjtWXqmsW3hnw9eXGA9pp0eZgePOkP3IB/vEgt6A89cDsvgXoE2i/Duz87c19qUhuLpmON7uSz/kTiipaMdDw51HOTkw+K1xIsdvDvPG1+R3z/n869U+Ed439ixtG21hEDjPHf/P4V5D8ULlpr5lOGVG2jHp3/nXp3wc1FZ7BVxgRx4xnoeO9ctVe6KPmd1eeJ2mhj2bvlypH0Nei/DbxD9q0+NR8sjLk8jI7fjXjk92ttrLIxHz8gdvSu/4B8r3B4p7yhRXuBWLqsQ546WR43cqQwrbXMDFnBi6vSJBeif8tPW85a7r7DM961Jvk4hdryZoByEp8GC8HzsqJpRN4FxGM9+E9Wt7e3mvJBIzwx+VAoILbn5ODkE4APTt0oi11pb5dj7lkYAAAkYJ755Ofw6msCz3weG7WGQKrTKZpOfvBjkZ9MDb7ZFdl8FNAj1zWH1G44sbU/Ju4GR1PXr1ro5bIyVj1D4eWq6NYNdXOUlmA2blxj6c9K+d/2r5m+NPxQ8P+Gy7Gza5+0XIz95E6gn0z279fSvX/AIi/FKO1064MPyfL5UJDY5PAx+Hf+RryHwhoLav42uNRZmmmSBYwWPypkknv7dfrU6FJdT17w3ew6Dp0a2xRYbWMRqv3VXA44zVaDxM2q3e1tpXdk45yfeq0lyp05bKE/IFyWx8zHuSf8apxTW9rcItqW2pwc9Qfas2x76nL+Oj9p86BtyjzHZwBkn5v0rgVObmY8t6A9uK3Nf15r3Ub7zNxVZmGDxjHSuTe9Zrltuc5Gfekthmf4v1gRKUK7eCvuM+2a+af2lPDH/CQeDdesUz5nzXMB5JVj83H/Asj8a+j/FMqW1hJtbzJOw78+nrXinxP8yO6guHVvJkYwPt7hhkZ/EfrSi9bky2PjNdYfxv4Zt51b/iYW/yMpHLSgDIOf7wxj/GptIu7HxTp01rNGu7avmgMy7mIwwPoRjtWR8WtMn+E/wAVr5oY2/svUm8woDwVJycejK3I9j6VZ0PWLWS+W7jZGaYcOQAsvT73o46c4z9a9CUbq8Tuy/GKD9nPYj1nwv8A2TeNcQhhGDgA9/b/AD/StbSLGO8tPOjUeYwG5T0YfqfWtuzuIdZjWNf3c3ClWBIwDg9+pwePSsyLT/7A1llWP9zJyAR90g9KzjK71Pd5Fa8SpqPhm3eUMUeGRmPTlZD1/wAkVy154ee2ucbGkXr7/jXsOmT2t2jLI+QpxnPOMf49qzH8I2eoXd0i7twYEBlx15yD+P8AnmuiLMpR6nktxpUku5VjyAeQR0/Oqsvh1oZGPl/Ljg/4V7Df/Ctp4pPLeOMrwWOGHtkcH9arHwzp+lHc08TyA7RGoA29v69fcVXMSqd9Wcj4W8NSauyRQQyGNcMSRgAdP854rt9bnh8JaDFJcGNRENggQblyRge57/zpL3xZDoejLHa+TEWUJgfezz1+hB/LrXBzyza/qX2zUJm8mFd0YY87iTg+3T6/pUONyK1aFGF3uSCKbW7+Sa45aViJAO3ogxxx3PuetWJNUb7bDpWl7WvZP+Wg5WBB1kPbjoo7nj1NYOp+KZLp5LPT41CpkPIclUGO/wDgOe3HJrqPB2lDwB4YuNTmbzL66AKlzlpCchQfp1+n0q+XlPnqtaVSV3sZ/im0XXvFOi+FrXP2LT5Vknyd3mS5yd574GQfVnNe7RCPSNLXdtUQxiPnjBxzXj/wF8Otq/jCa+Y+btYncwySc5Lfie9eo+L7otepar93HzZ7k+39a56qTshRvuct41/fad527dzx+YrtPgZqbTysueM9AeR2rl9csvK0Vwd3JyD9D0xWj8Ebh7bxPLEv+rHbPX61jOKcNBrc7zxrIyaoHXdkH1+U967f4cX0dygkDb9vQkED1Fcb49tjA7ORjcp5POTir3w21NrK2zuxuHTjk/jWKjoUe96bILq1V1VQrLg/N0NPieaFpI2Z5IV6Zb7p6cVzvhfXxGFGML0IHau40cw6juVrdW44bnJ9c0rWH0PRvGvi6OxkWHCSsxRQExuReB0616ZbauPB/gSIkRrNPGC4K7VXpjI+leE/DmaTxn8SWurpi1va4ZEkYMoA7g455z78j0rtPid4+84SXDM32aFNsW05DNn6/T3+vSt5XM1scv4n8XXPirxUtuxfybUFgu47XbryP/1dO1dl8IZftS3U/wAreZMyOA2NoAAPXnAOa4SxkXTPC1xeNta4vMsoH32J6cdsdfxr1b4ZaPb+A/hnb3mp+W7rFvfdw7sTkLz6Zx1xxUu60KNrXb2NLJ4oJh5gI3bf4e4H1rOtLeTTdOaZmVGkGRjGR75ritN8WtL4purmb9zHMPMZRnAOeAvv2/pXQ3ur/brRrpv4PlQAg4/H/wDXUyj2Ha5wGqXDJq96itmNnDqM84rnEvmF9cHzB5av0z3HStfXZWi1efc2cx/eyTnPp61yGlq0EU83meYzyllx/D0xUcumgcrsL4i1BoomZiu48BQfuj0rzTxzZprNnIsh2vt+QEcqexrvNavQ0xdnLNjG01xPiKVn8xkJbjOBSswS6HzX8efAY8ZeHpZPLAurdt5O3ow45J/L6Gvna1jvNEv5LeNQJs8xTcCb1GezDHXvX2F4rtC95Inl/upiSQB92vB/jF8OAZ2ubVSHViSwGDkdD7dK78PP7LMZR6nKeHviG1tMyOrNIgG5GbbLHjPAPRh1/Wujs/F9vqsFwv2oSzMB5aTfIxbjqOhx7da4eS2t/EkMlvqNuy3VuDteIkM3uMVhXUV1p7ssVxJLGrYEdwnzDH+1/iK6fZpnTQx1WlpHY9h0zxFNY3jGOEnjGT8oA749fX8637TxLD9ujuIXjm2qEZV4yO/4B8r3B4p7yhRXuBWLqsQ546WR43cqQwrbXMDFnBi6vSJBeif8tPW85a7r7DM961Jvk4hdryZoByEp8GC8HzsqJpRN4FxGM9JbOOdfJuEkk6ygHOMYwBjPXjj2/PymbxPrWq7vlm9My3OPXqBnPerOneEr7WpFW4vFjjbBaOBcbvXnrQqdndmdTNJtWgrGvq3jaG1d4ldnmkJC8hmbnHA6D+fSo7XTNQ8SzL5zSWtmWyVH32/wzWhofgiDQtzIuXHJdvmLfjXQWelSX08ccasysdnH8qp6bHnVKkpu8iLwj4Zju75IbeFUs7U8jGQx781L8SdU8yYW8YVYbQbAqjgsRyfwH867RdITwl4dkl2rlVOAerHnA/OuBtdLbVtbWORyzM2X+uaz31DyPRvgNoQ03SZJApU4xuPUZP8A+utLUpmutWZi3yqx5HbFb3hXTl0jwmsYD7mXOBznGen51g2Fv52pysfmzgDA69P8K55LmZqnZD7vTPOs5Azc7ScA1Q+FJFh4zk4HLdfpXQMjRQv95evJrnPCsXleKJpI921jkHb1pWvdMnlPU/H0DNpathPmGB7en41D4WUJDHtbdtHI6YqTxeral4SilVV3R7cnHT3/AJ/nWTod81tOoDBQT3P86yjTuiuY9U8O6p5CQybg3qAPeu08O69M0keG27TycZrzvw5IpjRgNy9q7DQb5VYKvyeWcZzUuIuZ9D//2Q=="}'


If you have question about Visuino ESP32-CAM project, contact me!

quarta-feira, 23 de agosto de 2023

LOW COST ACCESS CONTROL WITH ESP32CAM AND COMPREFACE (DEMO VERSION TO MANAGE 50000 FACES)

LOW COST ACCESS CONTROL WITH ESP32CAM AND COMPREFACE (DEMO VERSION TO MANAGE 50000 FACES)

exadel-inc/CompreFace: Leading free and open-source face recognition system (github.com)

This is me, Miguel
This is CameraWebServer´s Front-End - SVGA mode
The Back-End is the Arduino make communication with EXADEL COMPREFACE DEMO 

The examples in COMPREFACE are in PYTHON, JAVA and CURL, but for Arduino ? Based on this i ported to Arduino the basic code for sending the image to the RECOGNIZER service, of the COMPREFACE server.

Exadel

Exadel is a global software consulting and development company that partners with organizations to help them become digital leaders in their industries.

We look beyond the code to understand the impact our clients want to make and help them get from ideation to development and outcomes.

We accelerate the results of digital transformations through an open, collaborative approach combined with our deep experience across industries, business processes, and technologies.


EXADELCOMPREFACE

Exadel CompreFace is a free and open source facial recognition service that can be easily integrated into any system without prior machine learning skills. CompreFace provides REST API for facial recognition, face scanning, face detection, landmark detection, mask detection, head posture detection, age and gender recognition, and is easily deployed with docker.

Efficient for 50000 registered images (DEMO VERSION).

Contact to get the PRO Version of COMPREFACE

Maciej Walendowski to the PRO Version
Maciej Walendowski 
Global Senior Business Development Manager 
Exadel Inc

See the link below how to install on WINDOWS or LINUX




Start DOCKER, register the IP of the machine that is running


Enter IP:8000 and create the Services and Subjects for recognition, write down the API key


Launch and test images to recognition

This is my Picture on COMPREFACE WebServer

Arduino ESP32

Install Arduino and Select Board AI-THINKER ESP32-CAM

Code based

curl  -X POST "http://IP:8000/api/v1/recognition/recognize" \
-H "Content-Type: application/json" \
-H "x-api-key: <service_api_key>" \
-d {"file": "<base64_value>"}

Follow code

//https://onlinejpgtools.com/convert-base64-to-jpg

/*
FRAMESIZE_UXGA (1600 x 1200)
FRAMESIZE_QVGA (320 x 240)
FRAMESIZE_CIF (352 x 288)
FRAMESIZE_VGA (640 x 480)
FRAMESIZE_SVGA (800 x 600)
FRAMESIZE_XGA (1024 x 768)
FRAMESIZE_SXGA (1280 x 1024)
*/

#include "esp_camera.h"
#include <WiFi.h>
#include <ArduinoJson.h>
#include <base64.h>
#include <EEPROM.h>
#include <Arduino.h>
#include "PinDefinitionsAndMore.h" //Define macros for input and output pin etc.
#include <HTTPClient.h>

#define LED_FLASH 4

//
// WARNING!!! PSRAM IC required for UXGA resolution and high JPEG quality
//            Ensure ESP32 Wrover Module or other board with PSRAM is selected
//            Partial images will be transmitted if image exceeds buffer size
//
//            You must select partition scheme from the board menu that has at least 3MB APP space.
//            Face Recognition is DISABLED for ESP32 and ESP32-S2, because it takes up from 15
//            seconds to process single frame. Face Detection is ENABLED if PSRAM is enabled as well

// ===================
// Select camera model
// ===================
//#define CAMERA_MODEL_WROVER_KIT // Has PSRAM
//#define CAMERA_MODEL_ESP_EYE // Has PSRAM
//#define CAMERA_MODEL_ESP32S3_EYE // Has PSRAM
//#define CAMERA_MODEL_M5STACK_PSRAM // Has PSRAM
//#define CAMERA_MODEL_M5STACK_V2_PSRAM // M5Camera version B Has PSRAM
//#define CAMERA_MODEL_M5STACK_WIDE // Has PSRAM
//#define CAMERA_MODEL_M5STACK_ESP32CAM // No PSRAM
//#define CAMERA_MODEL_M5STACK_UNITCAM // No PSRAM
#define CAMERA_MODEL_AI_THINKER // Has PSRAM
//#define CAMERA_MODEL_TTGO_T_JOURNAL // No PSRAM
// ** Espressif Internal Boards **
//#define CAMERA_MODEL_ESP32_CAM_BOARD
//#define CAMERA_MODEL_ESP32S2_CAM_BOARD
//#define CAMERA_MODEL_ESP32S3_CAM_LCD

#include "camera_pins.h"

// ===========================
// Enter your WiFi credentials
// ===========================
//const char* ssid = "DaltonReis";
//const char* password = "!anadal!";

const char* ssid = "Andreia Oi Miguel 2.4G";
const char* password = "xxxxxxxxx";

WiFiClient wifiClient;

HTTPClient http;

void Recognized(void)
{
  digitalWrite(LED_FLASH, HIGH);
  delay(10);
  digitalWrite(LED_FLASH, LOW);
  delay(10);  
}

void startCameraServer();

void takePictureAndSubmitFacenet() {
 
  camera_fb_t *fb = esp_camera_fb_get();
 
  if(!fb) {
      Serial.println("Camera capture failed");
      return;
  }
  else {
        Serial.println("Camera capture successful!");
      }
 
  const char *data = (const char *)fb->buf;
  // Image metadata.  Yes it should be cleaned up to use printf if the function is available
    Serial.print("Size of image:");
    Serial.println(fb->len);
    Serial.print("Shape->width:");
    Serial.print(fb->width);
    Serial.print("height:");
    Serial.println(fb->height);

    //TO MAKE THE COMMUNICATION WITH COMPREFACE, I WILL NEED A COFFE :)

String encoded = base64::encode(fb->buf, fb->len);

    //Serial.println(encoded);

    // Killing cam resource
    esp_camera_fb_return(fb);

   http.begin(wifiClient, "http://192.168.100.90:8000/api/v1/recognition/recognize");  //Specify destination for HTTP request
   http.addHeader("Content-Type", "application/json");             //Specify content-type header
   http.addHeader("x-api-key", "91d3c644-ab7c-452e-a4c9-883ac1ab896c"); //KEY
   
   String Package = "{\"file\": \""  + encoded + "\"}";

   //240x320
   Serial.println("Post...");
   //Send the actual POST request
   int httpResponseCode = http.POST(Package);
   Serial.println("Analyse...");
 
   if(httpResponseCode>0){
 
    String response = http.getString();                       //Get the response to the request
 
    Serial.println(httpResponseCode);   //Print return code
    Serial.println(response);           //Print request answer

    //https://arduinojson.org/v6/assistant/#/step4
    StaticJsonDocument<384> doc;

    DeserializationError error = deserializeJson(doc, response);

    if (error) {
      Serial.print("deserializeJson() failed: ");
      Serial.println(error.c_str());
      return;
    }

    JsonObject result_0_box = doc["result"][0]["box"];
    float result_0_box_probability = result_0_box["probability"]; // 0.99984
    int result_0_box_x_max = result_0_box["x_max"]; // 392
    int result_0_box_y_max = result_0_box["y_max"]; // 392
    int result_0_box_x_min = result_0_box["x_min"]; // 66
    int result_0_box_y_min = result_0_box["y_min"]; // 2

    const char* result_0_subjects_0_subject = doc["result"][0]["subjects"][0]["subject"]; // "Miguel"
    float result_0_subjects_0_similarity = doc["result"][0]["subjects"][0]["similarity"]; // 0.78965
   
    Serial.println(result_0_subjects_0_subject);
    Serial.println(result_0_subjects_0_similarity);

    if(result_0_subjects_0_similarity>0.99)
      Recognized();

   }else{
 
    Serial.print("Error on sending POST: ");
    Serial.println(httpResponseCode);
 
   }
  
    // Killing cam resource
    esp_camera_fb_return(fb);

   http.end();  //Free resources
}

void setup() {
  pinMode(LED_FLASH, OUTPUT); //LED BLINK > 0.99x
  Serial.begin(115200);
  Serial.setDebugOutput(true);
  Serial.println();
  camera_config_t config;
  config.ledc_channel = LEDC_CHANNEL_0;
  config.ledc_timer = LEDC_TIMER_0;
  config.pin_d0 = Y2_GPIO_NUM;
  config.pin_d1 = Y3_GPIO_NUM;
  config.pin_d2 = Y4_GPIO_NUM;
  config.pin_d3 = Y5_GPIO_NUM;
  config.pin_d4 = Y6_GPIO_NUM;
  config.pin_d5 = Y7_GPIO_NUM;
  config.pin_d6 = Y8_GPIO_NUM;
  config.pin_d7 = Y9_GPIO_NUM;
  config.pin_xclk = XCLK_GPIO_NUM;
  config.pin_pclk = PCLK_GPIO_NUM;
  config.pin_vsync = VSYNC_GPIO_NUM;
  config.pin_href = HREF_GPIO_NUM;
  config.pin_sscb_sda = SIOD_GPIO_NUM;
  config.pin_sscb_scl = SIOC_GPIO_NUM;
  config.pin_pwdn = PWDN_GPIO_NUM;
  config.pin_reset = RESET_GPIO_NUM;
  config.xclk_freq_hz = 20000000;
  config.frame_size = FRAMESIZE_UXGA;
  config.pixel_format = PIXFORMAT_JPEG; // for streaming
  //config.pixel_format = PIXFORMAT_RGB565; // for face detection/recognition
  config.grab_mode = CAMERA_GRAB_WHEN_EMPTY;
  config.fb_location = CAMERA_FB_IN_PSRAM;
  config.jpeg_quality = 12;
  config.fb_count = 1;
 
  // if PSRAM IC present, init with UXGA resolution and higher JPEG quality
  //                      for larger pre-allocated frame buffer.
  if(config.pixel_format == PIXFORMAT_JPEG){
    if(psramFound()){
      config.jpeg_quality = 10;
      config.fb_count = 2;
      config.grab_mode = CAMERA_GRAB_LATEST;
    } else {
      // Limit the frame size when PSRAM is not available
      config.frame_size = FRAMESIZE_QVGA;
      config.fb_location = CAMERA_FB_IN_DRAM;
    }
  } else {
    // Best option for face detection/recognition
    config.frame_size = FRAMESIZE_240X240;
#if CONFIG_IDF_TARGET_ESP32S3
    config.fb_count = 2;
#endif
  }

#if defined(CAMERA_MODEL_ESP_EYE)
  pinMode(13, INPUT_PULLUP);
  pinMode(14, INPUT_PULLUP);
#endif

  // camera init
  esp_err_t err = esp_camera_init(&config);
  if (err != ESP_OK) {
    Serial.printf("Camera init failed with error 0x%x", err);
    return;
  }

  sensor_t * s = esp_camera_sensor_get();
  // initial sensors are flipped vertically and colors are a bit saturated
  if (s->id.PID == OV3660_PID) {
    s->set_vflip(s, 1); // flip it back
    s->set_brightness(s, 1); // up the brightness just a bit
    s->set_saturation(s, -2); // lower the saturation
  }
  // drop down frame size for higher initial frame rate
  if(config.pixel_format == PIXFORMAT_JPEG){
    s->set_framesize(s, FRAMESIZE_SVGA); //<=====================
  }

#if defined(CAMERA_MODEL_M5STACK_WIDE) || defined(CAMERA_MODEL_M5STACK_ESP32CAM)
  s->set_vflip(s, 1);
  s->set_hmirror(s, 1);
#endif

#if defined(CAMERA_MODEL_ESP32S3_EYE)
  s->set_vflip(s, 1);
#endif

  WiFi.begin(ssid, password);
  WiFi.setSleep(false);

  while (WiFi.status() != WL_CONNECTED) {
    delay(500);
    Serial.print(".");
  }
  Serial.println("");
  Serial.println("WiFi connected");

  startCameraServer();

  Serial.print("Camera Ready! Use 'http://");
  Serial.print(WiFi.localIP());
  Serial.println("' to connect");
}

void loop() {  
        Serial.println("Sending Face...");
        takePictureAndSubmitFacenet();
        delay(5000);
}


When detecting Similarity greater or equal to 0.99 will do a FLASH.

COMPREFACE IS REALLY COOL 
See the FLASH Light :)

ESP32CAM in my LAB

CURL tests

curl  -X POST "192.168.100.90:8000/api/v1/recognition/recognize" \
-H  "Content-Type: application/json" \
-H  "x-api-key: 91d3c644-ab7c-452e-a4c9-883ac1ab896c" \
-d '{"file": "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"}'

To do

Movement Detection (Hardware and Software)

Contact