# 使用 AI Hub 模型和标签与 GStreamer API

本节介绍如何在 Qualcomm 评估套件上将 AI Hub 模型和标签与 gstreamer 命令结合使用。

前提条件

1. 从 [IoT - Qualcomm AI Hub](https://aihub.qualcomm.com/iot/models) 下载模型文件。
2. 选择 `tflite` 作为 runtime，`w8a8` 作为精度。下载模型的参考步骤：

![../_images/download-model-runtime-precision.png](data:image/png;base64,UklGRjZIAABXRUJQVlA4TCpIAAAvm0JOEFUL47aNHMme7b/pCbsX3xExATxRl98Iwo6wHcXKHYlh9AVlU07c00sc7hg734de0p57jq+eoQrpGKPSZ8Ib/1CF+ksu1HmDl30HXE8ulS3ujUX+f9ey3TjnBA1dRjlAo5yNco5QyDnn7CfmnINyzjnnnLMEXxmJOduPqersvc85fe/Zu8/dDgrQZdS8Hd8sfBwVuZi3A9MQ0nJAmsSqehLVBBwW9SjWCAwtthx4thcXe9ChR2As9NoRCT6btpiRuVA/pDISd2pqLJSXAzU0Xk4jEHRY1XWhw2MPLuo4gbSY7ysPIWd04akS8yQaeQK2cDu1Ixds/csjME2nhyG059FgOaCEIlxAgbkeu/BfChPQBBZTeQyu2shDOJ6Hq9oRmUXYBbW2bdfK3IfocpIZLPKX8EugBMr5EkkplJGDfPLJw08Dim1bz5N9398+mdDlL+m9ychfIhlCJMNARjJNXFDc/x8SJEmOmpzzGPWhg4Bz8MYa/78kSZJGhIULBy5sOLDhwIEDBzYcOLBhwYYNGzZsuLDgwIILB+59X2zMwj28MmM2qyvXbFHL4QHKXIxwUPbEcJB6BEgdFrpZhx6hRUGXYu99WvQlR+QeOgzzOUoOT5ByvAAlR5CSw0GqULYwQOpQMMATIFnBkGLv3T9sCVKSyD3k8AQlx8s9XA2Pv1nK4Q+UHA5SjwClR4DUIWHYE6JpSLH3PimqQcvhc5QOyTwVtm3b6P+LmXQAbdu24ZCk+v/ajv2H4LaRI8k1OapcvQHXc/sAvO//P3Mj59+4P8HllS633PLyqWTJcsopp5xyyilZTjklyynpzFLllls6m+09zzPDkUTpeNvJHCfuVo8jm3G8qNLZ5jo9vGo6qxQgHQzWBC5NscSwcs5bGdxCHZ1qQZgtnYNKB7laXGIpFs4UwMbxKS6xIJzobF8isLhA3AlQ5TxO8qVHlbMvDYTLqpcYsJCwuKBKnbO9gLAQyNa5kkFe6ZyzBJWXVUrGnGrHagqHcRhccs62ABG4sNA/wOZyYvU4m1cQkEAXKuWojpCz5RyJBR2EAUsRBh12nLQti23pLP4D1+o2FPwHnJ5CBKei40KVI4W1OoHAVk9BGN/bztmmcxawAB22viTgAovLzqZwoNMlguU5p4Wgu5bOlhRJkiRJ8tnTYcCEC/f/L1k49yQMaNBAy4pUC4wkN1KyR4tZUNBwoOFAw4EDDQ0HGgYGTvaGhoH5rIUFC2rP139JjCRJiuTB1b1NrZdU9EBXcry96P+/SHb/fyNblixZsmTJkiVblmxZsmTLliVbtmxZsmTJkiVL5SrZcuTZRmaawkkvIZy6otuHmRldsgXmREWijY0lTWcBuSocm2ygNhBmdtkBe7Y8Pmg5jsme8WFmpg2wn7SMzBKyAFacFcSeXYTzWkfQRZ0FhB1zUifkmCzHRTEnPmcFoV5CdBbAmlkxc1z3BoI2W2D73EIYtpA32SPf9i35/V7AewNHjX8rhnEigW3Y+IYEBQUNC/f/lwQaCgoKshDANlCwGAwW9/+XHB4Wg8Fg/x24jaRIWeYs71235gFU6/+XHTetBBoaCj47m6CgoKCgoKCg4IMPPigoKCiYPQMNB6aNvHc1vj5nnpzRCQsNekA9iIm6gex7WnjZ9wK8Dp3QaSAL9YVyA6lB0A1kpUMNQ1OAd7axdLA2MA1k33XEBEVNDccwZ5hgaI6ZTioZOnVkT4bmDApOCcambiD7vooOHfrMsjZwG8hG1UA2Og24h2E+ZsH7MtT8noHpxBVk+TcwQ9PC0NtDmIZmoysNDN3hnAAoAtjGkQQFDQP7/1fMEwINNTN7CAoKwhgARHv24GEYhmEYhmEYhvteeHi4nzo83Pa+0H9HbCMpUqoHl+oYFt9nYUHUmVlG1FSBDE2diaVDJQtjMQy1HoIzsISon/zJvyiG9oxk7BQsIYpd9yeLor0Ad+fubelQ/Bxk1y0E7Az27atoy4h6FeJpWQgtM7trt7/K0hKitttTMfeS9jQ0fPvKqyxr6VAr2y/QnjwWQf90THuVVS0ZquUc2pPGYuifgCUFPDELwK1LS39RatijxWMly0zscLEA7PuP5YXDJUtNv12GwnLSYZPpFrHXIJZH0ByDlPVYazmWRc5GfBTeDe+XtDcG8QYZL8UnJ8XSyENS3g8p9kKDmAqPeAQO5UPQYFnkYShnegIejPfHzYDJtOeiTD3JykVzckhTvfAAlHOslOpgm5UFHXNsgVj46My+XUa6G02H2eictIxxg9QbActtu8UY0fJ2OXAKLbeZGKmYbWOhTVjEG7S7GaZnYyob9AapGbEljEzpZ+JCRS2yzCId6oWFF6KxmHmlpdXCwiGIqRhtYtYhiYmY7qQr+zRBn8wGYpugNkmuEbFsQWc3FszcUEo5M88wtUib+Rkp5b1waQExiRGmh0mMTWJxKolZmel0TJNKPRwPN5aWNubRLG/Mp4L6zSTXcI5anEqlYfOpINPBsnborTrS5lilaXpVONriSitm1euDl2B942iM9Fgub8p0zTGcQktnZaYen4ho9UYmxXgB0fqxnMvG3DRct+LcB8dJiFkMM3ITb4C2HmZyzRCLaDbk7FwmyGxIX4uxfY2hvBOdghGrew/XACui0mYcbWbWAKCvy2pFvR4YzY0jBd0YDcdjOVupek7eA+WCRWStdmag6tWhlANEsyRTsabHckys9cPxsE2saRuSznhjaWNm1YYNuYxo/VDK5UpVSXyaMpYbT0VVr44vJ1ez7y4Y6zyiQX41RkjQq/Hzq+NXeyuh0ingrwa0BmUwa6CoLOE0EARtRb0OGImpcUgCukGSy8ZajgMpZxnaBSlnqW2VGsolZgdSTrMkRj2UmywhN3Qm1pjYzGTGENPYppTzaK1l01JOp8jZkAStxnImIDLTqhBCJzqVi/wLxVg8JVB/p9qa+QZ18bMNvIovoQ7KAi7lP5orXIWCw9v5NSgA/TJ5mzsWcKn0rxQ4Jmo5ex3p3PQPP/sH/DEBIGMfHjRG6c/3iGxJDrVt9YeeIyLaatlbsyE3kbfwOEoC+cwzAZGPpJzGdjdLs2Qsl/E8RERrluSQ2qRDOCa1LKWyth7OtGo41xGo1+sdkdnlpxkSMH2r0A9A69Roz46TghG/eEGVq7ovHBpqYUAByKBXYE3iHUYApP2O4PtWcCpPfhYTBpDPkSm42Zd2ZBZ2CP1RqhYF3RjNYfqz16oce66HchmzfzK1iM8RlarBWFaJzUyssCFnDbZZr5oxkGNl0/MxkrLiyWSWzrEgZWWT242Tty+0szcof6RQBWxyTDmpBQAF4EQCSMmpQfKLdyAaKKCEEgmmK1GZAiH4o5XEqiY7+cHqEjLqJRHnVnDohS4nhJILmt0lN/9KZaf6TAGICC7SBmnVpg3kmHA1lgObWSN6dqKt5Fi2q0FiPrtOa1NuhM5wOrV5KoWM5SCxiWm1lAst2c9j3VhQUG5yV8l29RleKXpkB6Qp2oS8wsBvzapqRnlNpPu5CtkepYss/FLFLaCzSrxaoUnRl6heQqnss7xUgquRHbYCSp9+gXCQV67yRei5yqR1wObOQztbdkl/6xhlTGHKzNJGtqr2UsFtZ3Nypq35FNYWhrpVVUW6BapVyZ1Jnk+844mPt98Rklfe8J3qCtmz10pFAxz1oiIMO3tlWNjPKho/+/OXSZ61DYniNX6gps3J0UCoH66JXSTV2TQJC3si6Hcmd4uSEbNu/gccfyrPrgKtm20Nfiyn0xhatErKgWXZQtsyjWlsSS51M7Iqx95iSiXlqAsMbasQ2QnaruXVl6u3hbjV2xYDzOxw0Sy3h5NjVC/W56HRAT4/l9gpC++Hqo8gRJB4iPPJoUkeJN4XK6S5kJFNcK9sv1xJB/l5dVYxkG9U75itCybphcyrcLDWGt8awobcMBaTHLpiVg/lJmbLpswEi5mX42XMwqxKyvlULsQ5OSa2i84US8qY0CVORDYvp5ROexu3xLgafbbiWUVvh2dS5baMDlR1goBZZt9FQE90y5GSZ2Fs0gGeTCZb+JY4e4E2cmUzxgy4apz0yrKcHN1dF8ih+acreDozEPt37TDJibA4LeUqWkRrZuU04nLqzSmiZdNzAVN3NI2pHJupRRyn5ZBytJgaSd1uxnNEy6uxnGVdmZpKtpV2Z4wKZ+8Mn/Z8RL+3GIX/fk6KR1mO7bAv1Re5IyMPIxsRQu/fK0Bii3EZI3Yn9+rUKRO3Ji4Y4jI5GYSAyq76IVts+rOzrIXrgdMOygUqM1wQezZdOlJyQqweSjlNmfGbUm4yq8ZyPJ/EWJZy3qbIaZ2KlRq381JOG1P57Dr/kZQzVWBhNJTj2mI3/uIvujaJ/e+wZy0pWe/eYY9Rt3rnFm73JnOMk5paNhXReGPCjqJybzGJjlht886zYvZCvXOINVUDJbvbUrUqNZy8dV8kwaIXHf35s4rGvY83/jmjWbUJD276BcUIAe7wzv/U9XpVPA4n1rHVWMrh7NJYyg2KiAPZJobGxOxQjlM5hsS2KHk5ubEkl5hJ3ADZnJRyY3NGSjmPuCWR06QsSzHjF9zdKcvBmSReeUzgjujjk2jJiddSs7KFftWLjgmZv0iPDe5w8Mrk5NHMmGQfEyAUiJdJMnzYs7cJGYka3HOQcWJg+Mlz2L/pnwGloM3ndes4yZRNOdbWaimnM+alTC3l9UZmOz21OIW4MJONkZ48UMNUjg2Sfj+7mkqxZMxQbuINppDNj1NJhiPEKTQzchYzn8km5EMN4LruGVc8TSVxXSJTABfgARjhgolCui4QOJMEgPAzyd30ooZIAYzuARdAm9bc1ARHzXDSTbkJw6BO1wGnOaBNjazZMRFTWK8ODKIZrCrMHAO3Op8+qiOM5paXp2uWea7QQRKjYhZT5rmeX16eGxmb+bPV3PLyICAbrdaYWq3gk1wDajFJNVqtMvOl51c1TmDfPP1gn3PuQGr0Qu3vGzdw9h9ovb+va0hGZ6ejnQtHwz53QJuu5OybEWt4Ne59R3+oa2s1Ggs4xwxnxnBqKawnnn+aIMstpu+JpTDkmaUcLTK0FnGqY4w0ay0yzMaaQossPT2bu32uTJpUBM5xYvuN6jRNr9dHr+vtqwPQqdHsUzOTwViPaO1zjWolcKn5SuuJ50YnaAoR291TxwQ3wFSIjjGyEG+AN+gQ6wbYPnc6F3aem6kJ79PckEZrfrHXMayC8Dpw14FcF2krnZahrUI+181vbNS4vDSFzJOAUyUlAxACI2aJAWDEuDheMpZZljfeIpbJnzxbMqbZeqzqxi5xwjx09WOY3ME/WvVjmVRPUTWGycXJS1SNZc7CjlU1prnYcZPZrFpWRqLKgPZ1/we63jX/mwvmtNFQ/+x8o5+KN0DX3ktrpW59zf4t4mtBnD29X0MSs4a4gfaVAgBAmUy7cR3QgDD3R7TWAOCaYDrUrOBa0ywaDTo1/+qc09i3cV0DTdfeLyau0K3GJ681pLruSg3/NuhM/zToaN2ImlhmqfWNUgAqTQP+U2AKhgFG0HjM/aRbcl9Dyk5kpQ6EufTTIo+u1BAiyQEOru1lT3Oum0rn6WWnDuK41stSkrMzQQlWdt+akdEgFSGKA+Wm8mnTcRbnmRAs36zqwqCUFMwYdbhrrYzccEuClGBl1ErdMpFYMKVmg1MgHCyodIP++HiHup/3S1dWmXp6c03MPMbriEBqwVV00oqMsd4nBKX9AAC5AAA4AKYlPQC8hJSGRloGXB8AgHYzp87vXLdJaCdkjrhvf2xWNSG4SuSHER/c5DR3vbxx+PtzOzqVp1wlgAwXjKjsruF6AB2lda73IqOBTvOH4lBCPqJG+QBMLQbAhJCaj7N4swIwvU86sNmhh4UEMEDqcddWFS/gUFT5FOOYWlikwQLBZEbdm7rJRQs/+Y9WfkkBZNDalvXGNuStu3EXx/kXEg3V098KTK8pi/pYF8ngg7N8RM2ZGo2tNZVWXIUHZ72n5j8EBW0qnVKADrQOBCldmmBJaC0PsmuCnSWUZ0MpFZxRmlAeJGmCs/21dk0HTaWhQmbNWhMUgJGA5mWgg1zrJ3x2WUDqtIN2KywAWKaDIICE4A4AxmyX9DKnll1LZLlRb08IjrSDpFha9DR6HO3MUk150CZ11uBN7Rrwp8QiwexxbyOiU9kMn8/ikPUrH5EDKFQAHJEYCMiBInLQQFBRBUAIVwqV5OIS24VSColElGZcrak6Z2G8ZYfj/C1ECkAskgdqIJjM0KlUBgpXSMHkpEQkNSlEFfzWtjQZqwgiT3UDRrM0mBXlre7DwKoyEpECRwPETK9BIQ99U7qKAOC4Jis7msLju5VlEmU7BOuYmdrLEKgDoCMlRBJNsjYVsQht6qbKMMyPROfmM+RTAHXTGGBTlRzpNKWuQ6HYlIykCI3JKPa2rmwgYdeOqW1zVlofgIawim0zkRr69Te2bFVeGkdtZ8jQ3FPznIwBNlXK1pgb2/YXWnuLx+TpDMAe+XdsNjOQFZqxt+W9mRnv3hodP6B79EFaQWjFJkoXSozUDLc+jx3bWClY8RncMgbYm1AMdxsZoCxTiNci5nbx7zsdyg/ZFqedAzYnv8p95n0FdTXsoCNTuXF4hXn7Z6H+G1yr2Yw9IXEvijfmzdmMXWX8W3lA5W22JZ0mTysCXyfZQ6RZ7N39+M+PKblkg4DKGYuBHLfyTTXOW9egIBez77AZmbZv+bxgPiWL33prIbf2OgO2sbwdqCErwL191PKWqx/0PogBIs6jo6h99xBo32NzSsZ5q6uWBZsB8dmJe5GCnLEt8Q0csljOfOrG85nLYzbjqtv6j6lwTXE5HoNR6IwFc5I7HjmDIEJfJDKYyt3TGEIZbrfjMIZ6e61zrw0xFOHKsFA5FcY7frNCVkd7tYaU8ahKGSY2zC04P1ORkpEYkvlcn5TeGqYAIDDl9rDKH0oIqXC3fh1R6TfingPgvEr76wyghCg7QPEosy5ANt17eKV4RPrbAlr+vAtmw2TVgXPN+AUaev2AGpy/nvfWt5cB9F4AkDc9aUkZP00wjr7r+f0zhm5Lmc51j3r86HceSx646KL820joVAbVXAFIty+SVsjkTsjCAmzxUXJ5Geb2cFfk2UdLqfLJTrtyMW9dTmxWDrdqygdXM8nuJIKFGS1Efn5CXZMfiuUIcAFw8NfsT8O9efL5EjYUL/gs9IKKZd5XeMRa0UIqvxex5HAxEX5u58Lfe2jb1fafnraiFuuKp1sJe5j3k6qVtKSjV31QN2xSAAndUrDyFUyVmXeqyA6b3ie5PR6K3M45JycliybHM5FHxUGEx+F3os5/hCy5txAt9pyvrTRF5RS77ZE2+yEtjCPeWjpDrrl71rr8Hp3nw2FQJwHA4r+fupXH1fhPljUZNpQ9TdJW8SUEXOP+gKJHsizf/jlSgwm86Z+22R6RDXjY/3G3SWgHVBpXvW8tVKFafJSjG67vqGwggwIIvXa9vY4g3J6G9I4lrHFQyIjDQCcAU5vPC03nYr3nuPacfhLPwXFHPqDN6Xv2ykSpmal24uIaA8Tbda3C2Oh6bn/Ke6ul8nDCb7J7Tu/qSGPuLhEF0/BqCABH95MtvEb4jWoTL0UsAIuPfOGPSRbNZ+V9RfI/R1+4OMhPH/ZxJyPRJXreqOpj1MJrqUbhYD4IjZLnp5Pt1AQK8wzV+SG7AvLzWJzidvUN0V6QOLnvVwOlNsIxDsW8Wm6X8TyzdxiqbzTtS5ZvusGj0fkQp5Vf+Xi6ess00FE4lQASu+EC2/Z3BGDxuHiO2PqPweNunws2j8uu6lRHuBceida8SI6qoGALe14tcNHNxcbwf972Dq6guDu80P7ZZ94/GkIp+SmV1zJ/DyGPbtKHiOrt5pPCHmXtjWPkYyouySWvYHR454xSu9IdMSXV2VD8I6Ir1hhRkpyWJDFs+Db7HXebD5BWeNWIT0/A+tZPObq7ivN2dVh3FfZtUmY5hgKooWituzfLjr+JmtKbz9dt74Nk6+ytiHMQZEEAJcfnT4KOMtUSID4cBiqnqvJ7xIeqx/WZyctM0zOQqC985jdJ0FF6HcXoff6nA6Rq+eenj3xsill0hlPxWwzxvuC7+aMndhJF9pyQ3MMjwXEn/0b2s8E4c8W8psvnoFiB00d+IqLoz9eUVCy4ovhOe+ffFc2KzEfMfisKcFl1g5exT7xeFEVtqvyI47Y4suEbvfPzyGMeEnX2aMTjjHXtebRAKV7D3sbuJ+NVK+X9agspNltH0RSHdswQjx7lA8TisZyxbLcKoyjbVuNqgfx8Vn0QRWzvzr3sO017KFylFCuj6E+pKC5PdXH+oS4uhiKdQqAjaewQxrP+Nj15T51Uxt3mV/UCFiom+5k56Zkn9vZlNIQQhNtsdiG2nrfrz+BFxXBd5+di+RoA0AW1LpZflUAL5kd4N/Mg7I+V/7Zk+oC//uTvrJ4JX9y+NJUyi6jyBX9nlGCcfiquaq83mScASujdn4zUELL2EGfcT8lm53LMXu/6vFIgSK+8mv/Ef0dEy1qizsFGM5rMy2K8sMXeP78BLqrjaBDk9nH4OuNzbx4vW/Y79vQq3pIb2kzuL8L8Gzbgic1FEQwOTm1XPfZwLDZtL2i/xlpaSWVf2Nvjojca/JaS9qvcEs1heGy/FRxEu7emW+HtF/3jp4OFJPNeHLBsN3LH1SwoRt8Jd0fZ7nP/FXa3k7a9YB8FH1fb0SYeV4ZW3Wxul7PxbsV2xRifRMfhk3HkfSO83KzahxvT8F7+EsHwhHNusyCenLK8M4vxXiL6i2ghvCCP752Pdw+usn2luNz//dNsSvjeyjoMkJ5QXukDCLn3iGzA4HSOjrNDT3GUPOmZwg6ALhm0FJGRbxUdwVIZdoqx3JM+Hkk4IeTT/xfNUxiYkkGwju9kefZ+/P+v9I4+iPvlFuhM1z+eLulM1uygZbzDtuNjE9dbUZ6xJyeybQ1v22/RyLFycCh3W6hh1itZ7B7tVyjlP2dpYEPJ692PMLOAwNS9/h3TGfRJLFIz7He3vpp1J96t8SprwwmQwG9DW+HrDVGWLADbmOxtVz2xjbOkx36WxXkZnkKrTGLOyaBQsuh9IrxTBuoew8MJ84qreeyq1gnu2XsLUVan1OXpinSPlaWY42CgJGsD6yUzXIhe1T1jZRnT+DfLVu2VvCHsnhhv2z+K8sMyekq8stzpPx7FSZk37zwN7F54ujQm0VSu/kCgs4dl8h+wHe3hfVt+J+mxPinKciBnyZ/ZneB5GT6RQBeiZ1ejwC7DN1DNXgu37eVx9XtiU+Zl6bk9mx2F5UGvrhoGqAxH1KIi9Soh6BMPsiWAn3GXdc4gMEU8kYh4Mlrnib334k0/QgBNrKswHFtECHPyeEIMAR7nSy2TEmkWXef3ABrqZsbwh2BAatinNx083o5H2XRZDeHZIlvu7DXRsCwxhi9Mt+Nj9mKHUpjysFumBFWo0M79xJsfbC+2LL6+qLgzx4JhQJYEH0koP7zWq3iqXLjNPS2OTuphjMEF2BsVjeY/f+U29ySF4AzcwCVnTZcCCcZcSrfZlxdyHFAnhX4fHLkXuP2zDsCyA3yvs+y7HYBO34TrNpemD8o8NXKv6Sro943UJR8HFKiRPJfjqdyn07HkQI4yd+xSNwAg/SZIoNM9ygOXBGPOA5dCs08gcA3jfvaObkTDWTYDIt3AhbPAVBlTHvKCdpogJTQ7FLSRu9s/MzKiAMHSVJNl05UXcm9KW21hea79s092eNIwDEAACMxc1LxpplECkIXS6DpWFU877eTbw4aK1TwgC0EuAtMEBLnx5BPNgwHIyo6WQnr9dVOQi54AQFYKpXKDPCDbTcOg5s14KmsoAXHrieYT6ZDy7OIWAgRZOkaYovASUcVK4UJKB1LppI50gEsOGmSNIt2XEmos0tE65TVaR0rOHZmmXNZweB0Dt8LN2f/RkXIfUs7rUpdgGMjNRqVgOk69XhEQDo5MDSf3U21ikg7UXWlfynq/dUMy5aY6mLIyJ6ahLsd9c5G0CW5fApgoUmkYkgKXF3X121FY1o6x277c1jgkbhkcLAodDwAzOL+7px8vgiPFcsCAYJ8gv7BxpeAYfgTXMB4ARvBQeA0j1BTC7IVhmqZZtIyUrWjeboL4UJtIzOcZHCYQE2BqZtOWDPW4a63iFq5YbDcbaMkD9Cr/4Rr9VHVOms+zMsvqBiv3bDX1sczDqkhmuLqMLLOso7ux9ZUel2Ugxek2jh55AM6cH8ruuXlG9Ll55h5m03YLCBPaShC0NrNZM1ji5m7AdJzFdpNn1+EBkKnhy3XsszLL8gYrTnQV9VlpZequZJn89UpZaI4ToycBzZtmGtot/5k3qrVzY7H4Bq3gz4bypznN+ibqt27Kl+fbr/+kbzSxxZ6xay9T/eYShUnrt2840f0y2sOPVtqYRN9+c4mmIGkHfvLODSe632zTw4+WC41IFH7y+vqbSRzkmkLU7HnNWEDlOnr140Gxx8o1E2/3i5NLXcU1hchFAYVTdAmrVbPylr32aMWD9mwmLMLkUrEQNXse5ArpP/b1BrRQB73FRTfpO47cBQYx+Xv3o8YVMmE3b/URRZkCmmFmtQXdaHYi4xzdtjwATbMMdACQY+gDSGtJKQAm1/kDzbE5kNKH63ygmRHIHTdsGx5QQpEha3DjuCwFSEoG69o+MqU0wokQ6idpBMMzAUZLawTRZAzguEbYiJH10dZxgnr8OvNekylWIPMRI0sAKy69xvs4EgkA1rUjQavVGpsJHlgE16ZnvWcAzABE4ygHQMsQgCGA8dpjew6EcXnFKcP2S7fo34BdPMUR8f5g9wccBzO6ndIf9ICK2NM+Zfjgw8UAmGGSHkAJoLnya8T4d+YMagGVU0bz5CuLTztEEgTg5+UMqnlwbU4jxACaRxMhAOnSeum9sh2kOmQGAC1qPNFRTjYjHC6mFAAkRbPADUMB3EWRwmpjCAU/4GCJGykB2thauJoDEI2mxratF8BFXtEQaFvB9HFAPH3B+AHlTomTyAAQN0NEUg/eazvJDI04QUUkg5A/HrPpoDp/atpCfUJweeY36PvyW76cKKNpmnNQa07KvOMMK2/iNaac29QCXIqHtE7l7QyLEGDANaIiX7PkOGfS4ziiLxLBHQDXiMpyYbEQ9nmcSABqmlh8bCR4I8aSqQuum7kQEl4neUCHzDFLmwUbo+MiOpMK4hQHEMrS2gP3UdUGqAFNtQEAzwEo5Q4459YgsCpw7qw1LgYOgCbmCFeUBHAGAZxBboliop/jCrgnXrzEsel20GjfdRyLfXvX8AQ34UtXc+WR3KJ1t/an7JU6mdfeqD72grECZOW0ObKPQ5EK1f/9nG9S+gpO2Fpz1ClDy7ftdcG3EJ7mqoO6NiG1pWbn9un+uA5gMC9962kc0YcrnRWAX3hOn3581NRAZ87Eq48vT6zDKf5KghB9nt2kFK1mnjAnvKT96XKmTKh1mdT4VI+c4pi8X11EEZEiJyKmFmfEzDQAgBAo86zFo3ItoiKQoMiU9RxooJWujak0El4TX3tfc0Y04flha6+MI54ER4hfMESZPo8AbdDTsbzTva1ldp6su17Jph/dWgSrBat/63zCWxdN8fDwy2eJ4XM6rYb3LAzeW23X+r/Krl5rokMpWXAP0j8mMJIKd1rXH/Wb/Sd2nzwxZwFA0ZIaPtbDYF4jRhE8ZEzW4xDRzd73OVH2JsQb9HZQk3ebte9q4Wr4zFOnC04PVXa+5kd3jxmWxtFJWT7VlUq/03/D6eoeRl4AOTg0XHSCUTEdiaC0JVZKJJRfYOAjBEMDcO+IEISrCIpBoMqHmuZphJuT0FAQhGoAYk3o70ay70GklNYaEXA8mgz20up3KyzMWVgtwqVm3unpad3s1qyFe3t51/JHOcPZ7ZxRqZ/jqK56+m4354F7S4/oV1hYmB591IOCJmT6pfhI6dQ4KeUGD+RYxSOI1n0zp/BlHQDvZN/mUsEJL0aYEmOu58R7LBU0AhUSYy69h8/kDYTaDGbJFEdOLq0f72KyfA7z6/C6jsNVHJo6Qm64sdYhB0iP2PQIA1olhKoYEEZ1woLRCWqCgagjgRbiwCMYrQwyniOaG2MCgNcUwGMwfR7uIH1N67ZHeM5UeBuhFLZKsqk71l65MeP4sTFOp7koQzLJirk7PtJHdyrv84/+fveFYLae8uIxvQPrvFfJEJ3OqdPa0woLb918nyPzNREl6EX6kkjrKYVrgPsMXOD9nZVSjM/wF7T3vXk3fX2TIbKnj/fjl4Ny8kvF7fFXfAEsD3nKZrgAyyM32RhYh6AoeANiQUXlAOeZIeBqBCAIQiElpjLUJB1FkVgVgSCEELTRLke8ZcSS4HVUNIwsU0b0dx2EE27kF+5ovNKt8319UzXVXNm6V6rd7zujRCJro0eoQXQuv44UANHbK9NdG/7E15cP9zjzhL9Ua3+Eu+SgDLAiHp18AOHW03x9x+cDWOf3u2B3vpbF6wnxzBP2uqDDKL3vYZ7OUaRSsjm1aPk2CV/jPt0W1xoBGAewxhkBYKyJAGgAWARAFJQaixwcA+uROeOSQNZC8Ag5glHQyD0VEHUwESjt0xwpFcchyag3ZkOCJMmGpOBkAE37TaFv9a1vsikAFD2N1pgN1gFLIcGoBa1zqTUmA65xLrJBU/40elQrG2CTpYAD7L5DNuC4xpgNmwSjBoj+0iIjYEySjHowJiP6ycZkTLcSlmohyag1ao3J7Is/K5QV2/Hx06SO7oNUS4DjJwcATdZTmAGX+VEM0kfuAWuDyk3CpYVkTDHJksfqg/u9whrjuJQIDhp2Gn1mSgvHTso7l6l5tBhoOWpMcC3b15QXjpWKyxttUMtUm1e+ODm+Qia4pwy3xINxIX9LJbe2ctO4qcfltEfKn35mv8A1f5tXrWdzq3N2faC51kfvfLkYzeOyzL1v7+4eKY/ytvtUf9uvYr8/oNU2n/GboNXLhQbAfSOttjl+U6wW3/kCf9dln+/buz+2d794nKw/yt/Ppxq2+wOQNlQ/qTmMXyp85FvIdRM+ugP4cUb5soxOrqlOh+Z1/qGFehQziViZ2dH7vqPP3aPk4uuP/rbbLxBPHlIPUtGCnMEBTtZt02zARiPTR8k/9SzDJa3u8aVSypMQuNO/DtIJAndzNsAE00977yexg5adbi2bZOzw60VmEGQrNM/0Ez56dYpfXanwMz96cUk+zHy0HKEQJAusr1c4Zlq+/zEKebIO3mZx5ZkAZkzotW+nAb+4FRewz8WVb2HeZfqjjfd5m0K+zEB93u0AYnNvQxYjDt7zC4VKPwnh1rc5jiCdc4EZixFp73PmpA/JeIT5OU7mOBlIZ+bq/a6ydqEAZgD1AjlH8D5lv5wLAGOfMXiPC3S7NgGOx+JmIAjCIFPBMwbAMXh6xtZzMye8n5PIKtFXV84OcZD5mwfOnt8kkizTKkWhYDLUOd39ITMfUg/eIe8XuXmvhbvsPuZKf7VAeOoHYm6835vMDk8F8N62cmH7HxvqVJyQjzVZHzoo5L8BEKK3HnO/E7hydk03TcgBZp9wZF31AWbXOMQvuh4vCp4/9/hbP8iuYm9mZs2YJVM+M+KPYyIBv33+hbr9cdb9vnnA6qoirogZMAObkXpyIaXg6eLYqQhpe5gx/qC7DRHgrpKpykGFk7v6FZ6JM3j5rjNP7Ayes3KVL3+3zzzcccRCD0FK4dSzdOWfpA6bfzPLmdK7m75PPhp++YOL1123PKoelIKp1A38uktQ1zeuHPRjArBKDQfrMZy+KbyzvdV2dZ4qEadzXFRXa87rcMr4pqV1/IDYB1nlnJ0GvVB814/hyUM6lMdZ5eCCqxUb7eCS9+92109nl5zACBsxwYkSBQvzIEAfB8veH1VV7I7uTiCxYhUMni2OWhWFr2ZwY71rc84TmP1KXosr4s1+i8WCM5CszAivUDnkJgUi36VZcs6r6wEOxcfm8+27dL5wbS69u6vvM9Vu3VaMzdFvskeAn0RwrPKVb8wTG/7YgwyZdQosvNjeeYqTNk88wBKudFHmiQiui+GS1vhBsW8yZNaY1+JGe7RvyQc7o3bIrCP0RtBOlKIAICqWfWNhDG/P2QlxPBU/MgBhBQA3rXLtcN6eYMZYAMt7gIFAwhAEw/D36sQqZHXYZ5ZB0+Tugr2MEO7qcJ9ZwuDJ4tmqiy7w4hmH0PflDoTYLGmNX8o96RZc7SDz+VMlkx+tV/6lSjpkzj3+rZwpIjADgb828/5grjnay0lmeuWfbGfMPLgYmXvzBMI1uHDyazmW+creFzSGCGH7mzwCnNw14bbEV1tyYzvyHlCz81SlsYYPB60xcukaQwdlvWT2/NXaX0mEjj8+w/4xB9j94of8aF6ZX+/1kJF6/OlP+a5rdL/fqKtSi6jX2YPTvK9NW0gmtK0RAwoA8AMOTkUAryil7dn2eEW10qIj6rYCA7G9551mWDXDVjntcr05uHhaXrk6mWg1EjHn6/Xg4rR8JPHE6DxVOGEePRXHYYkgvhd+pNdcaXWlH19mPMI5OWIIP5Ggvut5CcS9+fS939hKH839xo5/C8Ahbd9K4WR1gLdpnXMEZZoTtLs0j/aPyvpaPYA3t3k/seAN6+z1s27H75y+q2UjvF7MDEEEmpu8wJp+D7JHv5puQ2a5oJlZ3YZwqgXW+b5D4/2+MgOiaw+6TY3XGL3m9bzQTX7tZ77wT0T3LAieJRQDiDV3ApwDx51Dn3nZ5RGEixwcB3COg7Auw3lNwZGETc2KswIgcueEcI5HAGEjAFifmjEhXIwQrUjNUKxN3PJ3RDCce3PcJ3pUAWsqULkwXevzK283N0cYw90tL8zxPpU5M2/3vgm4XK9ErzxT7GFKH766mGPvADjIjDUzH1ntg3GQKv+ULvp095gWjoOcJu74eE+L7zqx0wJwN5MAALTsdOs6sTsiFJzCClMsAQCgVHOgJiqlCPNg6lo7rWrkla+1r7WrifJaKRcNBwBDoxIioUngECtSe8FqooIJoSIVCk0IZg7QY5oaWhkkRLtQK2oWFNviCEadW8ZO3Ypsa+FzVZRRuU2e96nUcrFbRsMRKRUlYqGRBU8V7/zI1cXlyXXmEdbzGlLDQ3rAPUigc0jgkHABkrMXzX7M3y4ER0ZEpHkAAYbqCDRoA4wwzZUTGDREYpTgFRcKFYfagDeQSuuZUJhBOcQ6AjGEg6fm56kG9KZmtBZp2KKDUJQp751gznPYGnhsirgyt4wKCafcBsuIjmWhCs7eyKjExLIRrkxlnqyLlbVfeKLqyzsvmjllbgbgHiZgvRJP/LfeNX9bUI2JVXW1kIkRlQOknrUE6jlEz2hqUaYGwFMNjgjQzDvwFkzIvBtRpNKizUgkIgkNwFqCgai1ojRk6BAMRVdRSr0GgCTvVhhhSUvHgbmqMieW4ort/ntloorL1P0HWiju3q7l+Y10y4hTI/9DX3WVF0uVt2oUzAC4BwqAGSa1sPonEWNlIV1BWTbywlNbh+CtV0iiYqgZscYzD1G5FuKAIIS0oJ3jiqcEzrlVAijzwaoQAg0QPRKOyYjiPNSOGs3AG244YagdCXxrTFY7O9tELn9riyJVZXEN1AhFaFu3DFeOloG8u+VSBbRni2NXyj2K0bPHOkELrc2LDjLFFKkQIvEahVaaOo+RKEzyOE7BUQHBUgeUA2MplAMAReoAgiLEIxVguPNeB9YqcAGMIhwgEqJ8BIMGIXoVgBOFgLXZKgIseey8XHXBQItlHN22TZmqx9+qLGUVjK4VuACDADHwwCxvvgpVmItj6Fq9daNIoQdKBC506N19TAiGZVkdyzIszbK0Dt2OoVlUoVVYY7IMF4gL0QjNmf5kn2YBvVCsVt71KGx0yBJmvY7A3E+HbscQzTM5JgzZ4I8GBaC/mAW4bOMiLygO20Na5CMAMgrareaGPH/oATA6zVze7K4bAIAMgVZevb1zvbrfqEfKW+acCFshw2xoF9iORlGe5RCGszxqsbgwO7+5wXMDNungbrVywoBkwDXIdvKSEJwtZQRFspShyFkkdQhCBZwb9Ld7NU/MJLK//TLPd7VHyn4HG77m2NiGaIbjMGiNhhGydsse+ckw6iLLF9TOcjCzuQEgPOHE3wxnw/FHknGw3npC0RpAc8K1zCD9+gkAZDk8QmGMv5RHmmPtCgAwd4c100rac8p4ODn4V79U9Pg9YkxlCwO4PiDjzwCAlC3C6dayyeM4Jdd4nspD5Rw9j/m8iqFuBFkXl2LcmoOYR4GdRFE2t8dI21mu5wD4Ml9leZHW3ZWsFAQAmyRrkwGMRrh8za37FyWFpBcZASChPBs0yVpjMgAkbRoEOCRsmK3VGo0wCYddcmqDMQi0Rj0kZXt3oH4sHjRG7QcL10WTtVrt7rMBwGjUFulxKNIWGSFBygRAqzUGAcZcy9g70WJ0wV0ny+M7mR0ENkN7hIEYMx+NS3vZshsvozHGiyD0y4qPNvg0zc2+eY7l+v1KFmher1/O+gJU+gVP12u1ohrxemKOBFRfMLbXKZRUeL9OPoN/t93p3u0zlduEf19lPsDMdvn8k6OG95urnwTR3XmmX2X8igfI8I8Q4PrVKM7op9CPBms9vX61H+IM+kzoFFl6jAkc0e5W9ghr3u+Phfcac5h+gfl9I57u3VKVabE5Pj/p+25z9XjQb33D/PxH32qtg7e8zR6mBVTxLVeaSfG4+CAry2yJxiQKch/9Z0OEVpnMIBtjOylbwsxurM65asnm4Bxht0DZ+ghJIc+S1imfOt2b1Hv5+PHK4KzPDHFC/pyTkuwZXmfKStVeKvCKJ+Qj7aU6Gfc2XRvBQ3rouU7+3QVmz3AofQCit05Pquavoysz/A8lWNcPpQL2eLLAum0mOK2jefqHHAa12uoLUrFIjwIRNg+si/7rfWurn6U30rvwW08bWYcI+O3NCQP89Nf8wH+NztGrwrXlFg8xbh7wtYVTBxyj7y+6yVHdMztAEcF03pIiYrCsQzExcXAAXPQ+83IRs6A01x/1cKcwl35d6tc9ixnsg9f4Mi46qOYVbt1cyjv4yinxrmXnEzsTzmGMuef6IvFjhYWtf2kBPMI6+XNqzZo11gLYJSf+ZvPE0x+DB/foH4EhO+spzKXrTRe3eDHFKePNolM8mDlUaV5xPMLrCbTZpZWTb0674Jx9m80Rqx2DF//LyX5gceGEVNDc9YWGs+9mLtka6eCFxuV+uwqn9jtCv8+jSX97lHnZJMpfZQy7z243PrSp9K9OTSs5qH+wJMkSgMUi3DTZ6GaGD96bUNbEdHWe+qub5w59lH7rTz61Eyzf1Rfqsazp0qwhwgDRXvHD0r5xRuDt7LYahVPpq1OH990WJWCP9t7d3ibndoZdCsO+lT1zHqI07YIRQ/9tt9X7TtuD+Rq/1GHAsSIBvu/9rv0G5D/XOnmpYfm364/99b1gav3y/bo107Y35Ik+vjE9wyvb9ePjznvjyj6dnmZb8XpFr8iNRrYLL9F/jFe72H13Xhxj9ouVoEvlzFq8OkDPQgmYf4JS6ynXQnjp1Ha+6Z1P2OmWJhxgk2+UJKfbd31sah+HZHp09+Nzynj7llyore7ULrYEYf5myp5ePuY0HvYOr6wJ3OOl1lV619zK4Y66AOBa3/IrH/TkVn9XuC5g52UIRqcjCENLn/4dDpQoXDLrTADUlzuJQWeComkCka/ZVb7/rsRiw+Bph80GWDJrdb1mV3WQNDsD3mbWQv0ksM7O3jASEg55PgDqmktmHQHA+8vv+HXO5P2FsMvD6qmbfMgNI39o3aJr7hGof9QnZQrlrrjlHgE27ADW2clALbR7X+k4df4D1gXwnlYbCbj22te6xm7d/gPf3k1H6l1oaoaWLs0wEGgMmO2wWgbDopYj/TwcwJ2vxDIDLv3O9VKsDq4HwAGNzA+qxQFkK2PjDzIUAAfzxKPGD4v4Rv0k1BEw6xNAWQpajLLSDOhx1VaFLmGGIt12hGiXMOzbzwwEg4bAbIet5iCQG7vAwg5bVWoySdbEJwBGA2SKSLnJUJDtKkNZhrNMM816vq050gdkesp0B5Cej5oAtjHRprreHKgRJhZTkKlGQ2O2o1krwahZhkD9POkU//5PoBn0j3XQ7PP4XTMQdNhYm63j8spm+wNaZ9AxBbx75e7GvVteXthL593XfRUUkAxL5pFVNEOgTRs840wC+z+dHADwFgbBqOOoUOoZFVOnlrEIbOhycbGtTVmiW0Ybi6WhmL9XNV0wMC80Ts3oWPRV2goxYJ5atMALdhTJbDFvC0tc2BPo0Ke1tGAvikZ1j6hRLNuoCFAzjKmRCmVoE8mwDGHwjCI61+QDb4EsMlhZNbnFvCjbH/RnCJSqAAXZX8gaRarVpAK9KFO5ZVDOzHllFleOYbRnFKfrqmMR1kdAN0SgphawUkcLKhRk1Ti3DIsllEQX/pZq26YhzFL2dlRHVuf5xNWDUecaDEKfgVK5ZYT2Z2QyR3HEuDDkon/V3yriLG1NY8vmqXJNrRwueOYpJu6xY+Gjg1FXtcD7CqYylaVCLQOKrOoRZeqvJqk5JBmHENpYLOZMvl1cq2fhyWfezZ8v9WjRE2owWuiiRgPWN8Be5YVhXmFhCIhCFiwky5JR1BaUyvK3oWM7VkQVt8lTM4ShlcIeOz76i2+625NFz1WDE5DbzqUGtE8gNYPO0qxO2oExkU+ArGd0OmZUY1jjKJJhGkmWDCNZhmjVzOPvfu4xpr7KnpMAC10Ume8TyCo9kl2GxBJWhkUNWJqmWVano1kdS7OtpvqnSQD2MVo16c+xI1VtRSHY5fmqWjn5nCOM7/txh6kajtjxZe4Uff5m71s4dbMzmLtmR39g8v8ddLdZhAIq95YrTf9tq9V5NF8PPK3XnLT+9RPpFPQa0PUT1W/2Ag1oJIFOJQW9pqRT/qs9SPWbueAuMFillwEAIwF0yv2RAr2GpFP+dMZ5qidtAGxMUip7Yu5YJVefWPEDEwZAuEdrIF5vszasJclFb0fxtJmcAbC8GHE4rT4JbounRbOSiwhq0+7yRpMGQFhHpwCcs/JpbcgJrQGA+JMC+UozGQMjkbK5COXCX/PKL+GnKTE9tbwBYRwNUimCyMIpgSYXdApEEYV+r41uMgZG0pFUanzo30MT4pySuL/IIGyjUzk68Dyv8CZhU7omB3TKf5TYyDQWn0p8cddMng6XDEnMVzIJWtNKhfB6A8I2QL7zIkKIyO69c6lyQgaZqIVdvcPuMJk6YmWF6RNNiVNez0AP2w0upaR4uzdcQyuyFhiEGWxfmUQdsWrI0IyaNBe+Ikvo4XoUx3EAZ5MtXEOHOA6QThgBbU2ebIHToSbNBbE786CH8RnR4STGNXahTvXJGYUmT8cpFQNgj6hJi9FnjE4U9jp/R34cK56uJYHstgJSQ8mPkaddVD3IobwtRbUJNZMQbumwjJq6LteOPtQAStZIcqTNSURSlQmRNxWUGi3CLV3s8rHGnjHRRjf+mtLTMV2jhVEylsqQQ2X4hygeXNUI/PeEZQWxihrGccg5XlHIj+5v9s2Tp6drSKIeff/TslVPwxFGzqMfJDFaQs4ANJl4T1iiSq1geuLDY52fGyf0xRep4kc1RXnFDkOcYoZcgm2WfZqBDFIv0VcdGUREku1g3rB6gsOQvyfvctnr6qJCmnL1nRjpV9+QUVl1ciqivKI3Z8RPpq7AebzO0azlvMsVtycRs4ir66K1iNXrHAm893hyZBUGOxpdNTW5wyVK5G5yHxZc8AwaYsBi8lCBckqnKf2cqy1E3Hbr2MAMxIPy1KcUsTTYyy0vx/aMEiKZW9MOxGLHZlmOcm6JTBCznBNBs8b/gIVTtbawxj9QSzkOzkRi2wWwajToWCPvIGeWQxSTQDDI4WxcJ5tbpWFLJs1kaqlNZfKFGc7NatOsznDrPQUXWjgxMybltDpjmqott515qIRIYsbE4cXSCmMSuKSYVV9HGau7wfegBVP1sDAY8B3Egx6Q/4JtF+CQdSwLkD/2FMXMpgjtwVrW7WM3mMOGEiUXlvEYdVrAcE6jtJxwMh5fcU5Tsg32rg4IW4hL8aORdyKIR9Y2OhkgOBqujSzkwT2mAInidQ15ECmCWhYDyCBrTjadBqB4oXxIQM8ak9u70IBLdZil3z7P/LvfSL8L4thYe6KlWelu8AE/nyOT/MHgjOixrdLQ23M8Y4Fi+pGBmKfqF/oJ9q2eYirb72oc8VsqWzaf9ppi6nWmkpNDY37MfZ4VIeJKbOntTCTPiq2Rw3Okh1PMC/Fa2aJAwDeIiRnR4EsOkxwhvi7RgVy+X2Bb7hzof3r0mpde8g/K4Jwd9cz8QV3OzTkiOLDgI3rWYi76Wnq9NsdPNBwnBu0Sr6RPATdttXsdaaSbA8ZW/wHX9Z5zBwJnHCXcDgpy2RZLWthZIz/sI41uarqw5fXIC06E3ZJINy62lumVstPfTduZVnXDlOuy0LLgQrhzWVY6PLjLobxwS1a/xiYRUZq+aY77GJEsaZ/pQi+FiKtIlt59IlzreOUR557af9mSmm2DHv8VlvTIh32g0W5YnbfajN2diWhkbLdKXYfJmDwTK14YCwxc9seFuR9j39Krt+D7nGU95bO/ffyI+d84N8q7F62MrVlhBABsVLzB6IBh8/FEV8Y64H1lslnvO+v0gFrnK8qz9357TrHtMRd8Iiu2tcoPuRrD8vETfKHcqoBg6qRGLKIJVl501szzJnUwHsFiyN+De2ypVOq4AqGudTnU7a5x6pKnzqATvdAv6ILjG20+iZYzulLH25WpzkMKpTtkU3dvb2Gnz7t728+gdJveAqXUtqf2/8lrvuDS4xvpVZ317cc3XuMLdf9e+84jx/OhPw+cGf00mpUYHXPwpEIn3opMdF86yjmhnHDFBUX7FQ8lSkuEEsQR4oYSxBM63ou8RELNUhriAbGEtT6q3igzsINTaSTiFHM9fsi6JmW3OsQF0o84QXUXYmOvEIcQoWBjWbJSDoglrHl1RDAyJ8ILJnWlaNfu9k/NsAn+tyGEl+Ih6H0wvAVZd9oFYhbAmhzc0aGTuhIdJtVmTOOdRmIbAkdPLCc4sV87FmiKNgDC5WCd/5GTulr0Ea7VcnTVYjJDAXwIDCIHRi1ARBME0gjCBAciGBrAUgTaEm2SLRfHKeXjhGt1c/v7tz3UtGZGM0WDAHwmUlJrT5z2mjhNaGUsoQQTTKMKVOTAhaybT9NeTCNSmF2oV0FggNpQ9OgA0IOrBfjgAaj3ADR4RZVPsx4d5ID63yrVWnB1m1HQP6uCgGBbBGckAmqIRIBuj1rkmiVS2fJAB0hRbc2AU9IHZfjXP6tiEDQAYYDeaOaDisA8ROXA2+zIQkASPA/EAfPog8oH/S7YLkM451oZgxPzEbhLr3LALQBGiMitMJQDRASBAtCJQJOrBOSAlIELDjimsuWDDizZrK460oQoodc1sZDj15Ua26OOUFnxQbw7m6sp0YLMVduBAXoEhEOlVnwgbwOScqgv2hWfXYkVnx2dXP8nGHeBHgHhFw4lh3ctNGCABmTActD1iAnD69CXV3bpALoeKUGb54PbugWOujbzG+IWW4TB2B6/yqFTywJCtXvQnNhCvAUhetwRk+UA9Ia4qKkzESwyJ6i3wDV1Ldwb4wSlzFpDqQPuqQDj0VaKYQTjWS+v8y8FoAq+5j5Q7Q144632gVgfqBcQVaALVntThVAZoqMKmqIyxirNPRoSCJZbPIIjodK+DtoR540HAFNpX0UIFNL7P4XjMQSIXgcAYrThyYg2PgKIkouBSILiHJ3XFLwhAmIgnKMAowFIIAJoSGhKQSgereIJ5jm46ESZhStPqqi9DxAGFhQPyhPukxzgiPcLNihdm0Ah+ki8CpZoFUNtPKLyiileZgFurAVhjAPHBFgBmEQwTACAM2hdRAyBcxAWnEEADByEsdyBDRxQlBTyUsIHpiZ2YsVSDzjtEUpLAACvm9oRkqWmm1/YfxeeUlNmalaa8lKz1/a9mtLSXtvddteUlPZaO8TUB3j13/foqWvKSa/Rbn/0Z9/08Weu7dWUlZ1jTNq3OMGDa66k1KysrbXa0vJm6dsrTYm5XlU35ea20gtnaq9rvmUhWZmwPQ+KPQbWFer00icKp7pfQnv40YJ+QxIVk0sVmk7/7f2KpmL3/R5+tJbwdkPynFyqKO1oXAFV120vP1r613yeN6bSFqMdTQHVji1S+ZvRZrKpHUWmBKgL++/C/tvWd5hkqelLy0x4PJaajssLo8zjv6F7BRwudrGLfV6KB8/nISvKGRe7WErKDT7+upnRHjw3mpKS0jTli4tdLCVl9OiVl1NNtQfP2ZYPR49OBkoW6K0fkXgS7ppHNnnemd4uMk/ARcJ0wW6TgVLFxVJGryxm5uyNUau3d3edBw+zved92ecfzNWPMG62BpqmPHGxlNF3nkfTOobZ0ftu8OAhGEa38/K/83OLbqUpS1zsUUavZFIzDEEQhh1+vXjwGAiCWF+//PohxqXbf6UpR1wsZfTjqGmGQLdY5OGDbJAaONB96EpThrhYyuiV3ml771/QW4takqQGLn+IYbnoyhA6ZbQrR+aLpG61RDfWd56g77eaMsTKf6tmCOTcMp0S//8jF1tpCsw64qDmfjbItQPGf2OW9pLndPkDF10J4hkaaXnOBjTy72zlGeFSjym5fKS85DodcOdWU25o3KLYmdbJcyYIohkGOkMY3DdhpBzl8pH2kufqO0sQjrdXtVwjlqVpliGQle42azBY2SrWKrU3x25nZapo7OBHPRfJ9lGj7gRDVzFWg/vs/OfblByalYv9CMnKtTMlG8NINWslDGizmOawTy8Igm2sCGOxe3MDxolgTBUvzRAYKcQTFUSlMD55DGrI5lWQ8uzk91m/cqtXanCL12N08tw2uTAprjcHhTMzyTI6tFmdzoAuoWFZdYVtjprB7M11NK0jCKaq0ZaIXKFSjI7VGQgdjd6PUY+yTaV1LK1TJ9oKaDlO++z84PLD3uiyHFgUvN1Eu9gGMjTbSKoZE6NjGB2LKWB6gmXuPcA2roptHEXrdGxjI6tjWVOBW0Yu8uBgWBOpNpGsjsVYsaypcWyimiYb2SpnZ7cMDO7/w2VLDxf6/32gvJRVrSrmbHtpUyKl6EEOrFCLPScycVMrOnYsVo2Ks7VlcilKxMKYuii2yDWRicUWt4wGWmfK7Wix9FAVh7KmP6AUoawpF/HJVTuxFlO5bK68XL/8cNkqObEwVQG2tl1sc3Jt4yzzGt0ybAW5lnE21QhbQ5ytItT2dqG2cby7KXqMsAWE2kJzbQ00a1IQI5ZXtoaBtr9tsM1psFUghojPeW2h42xtG+TlfcodI6I6rkpSiaFt3k5BhaoazmvLq4pKDLC1LSurYopVZOhAlW2cqqw/uVUuQnHu8yVSbIAtwKJCrDqqLFUmt4zcLlvlNtj+QH7KmxF1/1BbRVTiqibF1DgqKnFqcfELBdg+jIn6A5SB/RmLaoRbRmgD4jBvVZLA0GXVqcWmCoSBVXQbVZmqf5Pdx+bmEoldGuK6rFCzsPid8hJVMG4rFaOiCipsI0zFtoAAW7GJz9V214wCvfgDt4y8AFvD1LGNPRAHW944GwqVu+pUCiEukXjpANuIBltcha1hnK2CDC3ItcnJCw0fyw9fLWdD8yhq7FSyKq8N5ZYx0EQnKkY1KhKrAqg8xtIljjpio2UsoTLFbUFZFHMaLUSUIhTB0tA/12JC3DBW58f4NJg6EpQiL1QRRstz8HbnG5YdVi62+7hqkm8i00SSJMsyNBmXx7CIBcOQJtZEmhjSZCJNtOmu80ws25hHnt9Ek3mjTCaCQIxQP1lWJtSHZV46jqRN5BPI07d9dl2v5LCj+VCXJ+dcKRIdQTCsmtYRBMui6606VkewrI7VoTosoWNplmUI7P0QVcbKojI6aVmaRT1oNUswrE6eh93Oq39q+bEdf/FxUOSrMZF63waBtCS1HtsSIUOHIQhC6n6oKuomjxWD+shXnHfZxUKzjunIX7RIuogEO5wNUuuxLRlk6GCn+AlpR9RNHisC4yMP61cuNtsMvY9v3+vmybEqHAPWQX4rS/Cu+rsNny9WbPs0bzv0/n9n0uTtYJBdByT9EuQ4pcX/3tmalK/mOhdfv8vei64pR449/svWpDwNXidpr+Zcs6MMsbK/+7u7pD7S52JCeqXDXa5/m4utFJxtiOY16A7ctTOzCqrHK32ym12Xv9ptFl1TlpyHaWX/xROM9z/88rtSq0B7vK5z8fX19csfsLdr3WN5cv66Fbf4Iwd++OUvv2uf9R6vfXZd/vIH/P2dF5MzhJUmdjSNu9jinfe+5f+vX77Ha9eH3/I7z2G+uOhWmpLlXN4rbnHR/cj1vrrH66p3dpmTeZcrdjSNc62rL+blSxCKz7bKV8fk48tjitA2+VduNU25+V2Fr++GqalyBOa2GGOm7Ph9NchMTiskRan+qrVy4ncpHTam22BYfsuYQMuKzrGZbhmWkpOPG1uYYZjfm5Ue0BicKid9doJN5dqt9zWhlLjKXmvvfgL/z4zLnBEnwWXyW2fCnX72DDgtTo2T4wQ4qXildXmVVXnlVSkb6vavsiwXWMfbnwg=)
3. 按**芯片组**过滤，并为 Qualcomm Dragonwing™ RB3 Gen 2 选择 **Qualcomm QCS6490**，为 IQ-9075 选择 **QCS9075**，为 IQ-8275 选择 **Qualcomm QCS8275**。
4. 如果您尚未从之前的任何部分下载标签文件，请在您的设备上运行以下命令来下载并解压这些标签：

wget https://github.com/quic/sample-apps-for-qualcomm-linux/releases/download/GA1.6-labels/labels.zip
        Copy to clipboard

unzip -d /etc/ labels.zip
        Copy to clipboard
5. 将模型推送到目标设备上的 `/etc/` 目录。

    - `/etc/models/` 适用于 所有模型文件
    - `/etc/labels/` 适用于所有标签文件
    - `/etc/media/` 适用于所有视频文件
    - `/etc/configs/` 对于所有配置文件

Note

    1. 每个模型的常量和模型名称可能会随着 AI Hub 更新而改变。

        如需了解更多模型常量详细信息，请参阅 [在应用程序中集成 AI Hub 模型](https://docs.qualcomm.com/doc/80-70022-15BY/topic/integrate-ai-hub-models.html)。
    2. 以下部分对通过 AI Hub 下载的模型使用占位符模型名称。将命令中的模型名称更新为通过 AI Hub 下载的相应模型名称。

Last Published: Nov 05, 2025

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