240_SSD实现.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1. 多尺度目标检测实现"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "561 728\n",
      "(561, 728, 3)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\11_Anaconda\\envs\\py3.6.3\\lib\\site-packages\\requests\\__init__.py:104: RequestsDependencyWarning: urllib3 (1.26.11) or chardet (5.0.0)/charset_normalizer (2.0.12) doesn't match a supported version!\n",
      "  RequestsDependencyWarning)\n"
     ]
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import torch\n",
    "from d2l import torch as d2l\n",
    "\n",
    "img = d2l.plt.imread('01_Data/03_catdog.jpg')\n",
    "h, w = img.shape[:2]\n",
    "print(h, w) # 打印导入图片的高、宽\n",
    "print(img.shape) # 最后一个元素为通道数，通道数为3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 在特征图(fmap)上生成锚框(anchors)，每个单位(像素)作为锚框的中心\n",
    "def display_anchors(fmap_w,fmap_h,s):\n",
    "    # 使用d2l库的set_figsize函数设置绘图的尺寸。\n",
    "    d2l.set_figsize()\n",
    "    # 创建一个全零的张量，形状为(1,10,fmap_h,fmap_w)。这里1是批量大小，10是通道数，fmap_h和fmap_w是特征图的高度和宽度。\n",
    "    fmap = torch.zeros((1,10,fmap_h,fmap_w)) # 批量大小为1，通道数为10\n",
    "    # 调用d2l库的multibox_prior函数，以特征图的每个像素为中心，生成多个形状和比例不同的锚框，并将结果赋值给anchors。\n",
    "    anchors = d2l.multibox_prior(fmap,sizes=s,ratios=[1,2,0.5]) # 生成以每个像素为中心的锚框  \n",
    "    # 创建一个张量，内容为(w,h,w,h)，用于将锚框的坐标从特征图的尺度转换到原始图片的尺度。\n",
    "    bbox_scale = torch.tensor((w,h,w,h))\n",
    "    # 使用d2l库的show_bboxes函数在原始图片上显示锚框。这里需要将锚框的坐标乘以bbox_scale进行尺度转换。因为批量大小为1，所以使用anchors[0]。\n",
    "    d2l.show_bboxes(d2l.plt.imshow(img).axes,anchors[0] * bbox_scale) # anchors[0]是因为这里的batchsize为1   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
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\" 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       "   <rect height=\"135.9\" width=\"176.35508\" x=\"33.2875\" y=\"10.878096\"/>\r\n",
       "  </clipPath>\r\n",
       " </defs>\r\n",
       "</svg>\r\n"
      ],
      "text/plain": [
       "<Figure size 252x180 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 探测小目标\n",
    "# 调用display_anchors函数，输入参数是特征图的宽度（fmap_w=4）、高度（fmap_h=4）以及锚框的尺寸（s=[0.15]）。\n",
    "# 这行代码将在特征图上生成并显示锚框，特征图的尺寸是4x4，锚框的尺寸是0.15（相对于特征图的尺寸）。\n",
    "# 对于每个特征图的像素，都会生成一个以该像素为中心，尺寸为0.15的锚框。\n",
    "display_anchors(fmap_w=4,fmap_h=4,s=[0.15])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\r\n",
       "<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\r\n",
       "  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\r\n",
       "<!-- Created with matplotlib (https://matplotlib.org/) -->\r\n",
       "<svg height=\"170.656221pt\" version=\"1.1\" viewBox=\"0 0 216.84258 170.656221\" width=\"216.84258pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\r\n",
       " <metadata>\r\n",
       "  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\r\n",
       "   <cc:Work>\r\n",
       "    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\r\n",
       "    <dc:date>2023-05-17T14:46:30.178698</dc:date>\r\n",
       "    <dc:format>image/svg+xml</dc:format>\r\n",
       "    <dc:creator>\r\n",
       "     <cc:Agent>\r\n",
       "      <dc:title>Matplotlib v3.3.4, https://matplotlib.org/</dc:title>\r\n",
       "     </cc:Agent>\r\n",
       "    </dc:creator>\r\n",
       "   </cc:Work>\r\n",
       "  </rdf:RDF>\r\n",
       " </metadata>\r\n",
       " <defs>\r\n",
       "  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\r\n",
       " </defs>\r\n",
       " <g id=\"figure_1\">\r\n",
       "  <g id=\"patch_1\">\r\n",
       "   <path d=\"M 0 170.656221 \r\n",
       "L 216.84258 170.656221 \r\n",
       "L 216.84258 0 \r\n",
       "L 0 0 \r\n",
       "z\r\n",
       "\" style=\"fill:none;\"/>\r\n",
       "  </g>\r\n",
       "  <g id=\"axes_1\">\r\n",
       "   <g id=\"patch_2\">\r\n",
       "    <path d=\"M 33.2875 146.778096 \r\n",
       "L 209.64258 146.778096 \r\n",
       "L 209.64258 10.878096 \r\n",
       "L 33.2875 10.878096 \r\n",
       "z\r\n",
       "\" style=\"fill:#ffffff;\"/>\r\n",
       "   </g>\r\n",
       "   <g clip-path=\"url(#p8ee2835808)\">\r\n",
       "    <image height=\"136\" id=\"imageb24f1cc060\" transform=\"scale(1 -1)translate(0 -136)\" width=\"177\" x=\"33.2875\" xlink:href=\"data:image/png;base64,\r\n",
       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\" 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      ],
      "text/plain": [
       "<Figure size 252x180 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 将特征图的高度和宽度减小一半，然后使用较大的锚框来检测较大的目标\n",
    "display_anchors(fmap_w=2,fmap_h=2,s=[0.4])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\r\n",
       "    <dc:date>2023-05-17T14:46:30.338597</dc:date>\r\n",
       "    <dc:format>image/svg+xml</dc:format>\r\n",
       "    <dc:creator>\r\n",
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6MmdIFUiLVAXteuCdN9/l67/yywgRGbsNYzdi6xlaKt774Xv8wb//Q/7Bf/73KaopZdngxoHzVc8wgGsHDiYVr9+7wbKxxBT45h9/k3feeZvD6QF/+s2Pabstr/3P/xGlyVD78+/9gA/efZ9f+9W/S9oxKHiHDFdhgPz0HYi88wp2PLh8noJMyMR1riGlQqDzxSAlSUpijD+Svfg868eOiYUuscs7dGcPkfIUaQzGGLz3jKMjxgDBI4QkBE9K6foWHnZcrPceq2AchuvblNaK4AL9eo0aPEIqlHAU6uoKH1FEEgNG9kzqQFFACBvaQfP9d074//7rH/L4vEQv9lguIjOrc+igFNEHurajk4Fa1VgtMVqjtcaHwKbt2LQ9pBOEFISxQxqD0CXaFFS63MXUAqEEQuf3pbXGGnP9XEophIQ4djSp40t3a6LraeoGawxVVRG1QZQTquVNhgsLsiAMnpOjp+zNa6qqoG23DMOAHweCtAxDz59/97u8+uqr3Lx18zr27PuR49MLJlUNw5Zbi5pSS5IbuNhccHx8wbyZokvFvTsHaHkD37f0G4Vza04++YDb+zNkisSYGNotYRyvL8jr5E6pzKUnlQPjq0T26g6025mVFNfATyqhpCDJRBSRJOV1mHYVVlyB+vMA+scDsciiHdkcYCf70B7jYsi6CClRSuG9I4WIiLn4IWW4zlafZa0J5wPBues3URQFyUfCuEWqDq0kUYAwClUW+Y+7QAoBESNWCEIbeOt4y7/4vXd455GnqBbcf3lCXVqq0lAYgUweIyLjGFjjka7FI6gKTVPXOY4D5lHgY2QcR0KI9KJmMzouNpdsRwcx78JXJ0CpnBgqlXdhJeU1Q2FV5GYV+drtKSpIxnFAK81qvaaaVhR2AqpA+Ja9SnDWjgzjQF059hdzIBB2mhMAayyr1RprDK+//iVuHN6gLEtSSvTdir/z9btU6Rd4683vEKVmszqnXjTUVvOll1/hez94i8ntQ0oJVkj25hMWs4az0zWvP7jDSy89oKks3TDgVpeY3V1Hm92dZ/fe8oZjrsEQgmcMHuc9fvfhXEDJ/PvGFhSmwlqDLQpMWaDLgqIoMLvNT6lMbaZnEPuCQUzmV4W0mMkh/eUHCD/ivUMLgTaKEBTeJ2IKRAKjC0gSWgmkCCgR8QmC8wzDiJR5Z04pUZYlVwqyGAIhBuKYiNsWbQ0pBUyK9J3DOcGjk4F/8rs/5OnGcuvubWZTxXxSUusp1lhSbDEqIYNnE9YEnRC1wfscn1mVaJqKrusxQuAd1LpgGDyFlWijkFJQaMVF5+nGntFHEhLEs6xcS4kRAklESbgxr1gspyxqTXQdIXiGsWd1cU5dGebSIqPHuS3OJSZ6zkREgnY0ugQ1Mp1VFFrhB48pSi4uV9RNzWQ2QZcGrRRpbPGbJ0zEmmUtuH3zACUjNiUu1xuEVIx9YL3ZcPToMQ9u36CsS06eHNN3LfcePODBKy9ji4qLbc/qckSaAq0V2uREV+002VcKjBQFzjm8D6w3a45Pjnj86AlPjp/y9OKSi4s1hVbsLeZopSjLhqqaEKOgLC0vv3KPN770ZV770pc4vHmDqmlAmJ144SfbjX/8cIKISAJlGqLSiBgQIlM2WVjjkSISoocUcc6hRcR3I6SAH3tE9IiYS9V97zBG07cdIkFZFPgQs/wl+vz7WjN0PcSO0Xt6b/nwzPM//sG7nIcpL92/xf7EMJnW1HWNEBIjBTI2SAJju2FSWfAG32/RRlDYAmM1WkJpFUNMGG0Zx4iwEvxIYwQiKGQMxEJjlaQfAy5EXMgXmpASKcHI/Dcro9hrSqaloTKaMPQ5BEkRLaBdX2C0RAiF9571eg2mRBFpplO8zalRPbvBZLGPVBNi9CAEB7duU00mlJMS0fW8/8Nv0Z69T6kkOgmaoqZuCiaFpe8H+r4njZ5XH9ymtgb6jl4EZnsLposZm36LLAs2qzUnZ1tWm4EkFUpryiLvmNJcgThXJUNIeJ/vvn3fc3Z8xOrkmLHtcMOATVBKwV5dcvfOLdabDQcHSz559IRP3nuPW8uS86MpJ5OGwmqklhSlJKGvRUtfMIifLaVzzIQTpJhw3QAiIqIj+BGCQ5DQMhLHnuhHvOtx/YDvB0RMKARRCCQ5292sVvRa50QxRpRI9H1HipkVif2WMUhOhoJ/+62H9GafB3duMq80s0pTFAarcvLghxEZAzJ6wtCT/IhVgklVEEOgaerrhEVjkCkSosBUhr4fM4mfAoWR+KDwETQCKxS9c0SbSDHHg1VpKZWk0BIrodKJ0uTk1rsIMqKNwA8tohQMqwuqsiQOA4wdyiRmswqtHUN7jHZbYtySZh1UC4JzLKc1VVOgC03bnvPJu++xPvoInVqCmTAOHuciFxdb0iQXJZb7t6jLAiMTRiTc2IIRlMspSEs7BB49POXJk1MGH0lSZaWcAGstVVWhCntNPaZELnaknJT5oef06VOS88ybCR9/8pj7N28hvGNqNDNr0VXJrcWE1DU09hY39udYBSJ5/DjkCyOGnCwn8RPFEz8ZiHccqZYKHxJp9CQfEDIgCUQ3oEXehSUQQhYEDe0G1w+4bsiPF2qXAObsVSNx/UByASHIks1xJKbEOAx0naOj4ZsfXBKKm7y8XFJVknpSUFqNlYoYRkSCymp8PyJFRBhBEhKVJKNIqEJTl3rHaSqSlqgU6YeQb5tKgJYIqYnJ4xRMrEERMBK0SEid5ZgxJebTCdJ7FBGrBZUWVFaxuVxhkEzmBXVp0UZglUTqiBMD1bygWpSMXoCPSJVZHB8d/eoI3IpgDOgCXe8h6XArxemj93j68RFNXVEWe6xXPeMY0ark5OyYtnWURcnDxyfMZ1OsEWiZ2J/PWMymzBY3ODnd8u3vvEO77tlutqAEympKa1ASnDZE16OsQe9YGKU0KIuSihgj64szzo9PkV6g65rtZkO37Li5vyCqyPl6zZMnZ+zfuMO9lx/QthsO95coUyBTYLtZsQg3//Jmxy8GxLlTLeGJwoMskGKTcS3Ae4eUCaM1fnQIAn27xUhJCpl+ScFDDLvEzz9TSAGYkhATzvWk4AldTvyMUkQf6UbLtx9vaL1hWSsam5g1BUVVoISm0AYlBUoLlEwwKcA7/DDghw298IRgsMaiDCQhEShIAoFHiSzr0EJTGEHvHCkEsAqjElqAT5KAzSGEMUgpMVqRZMT7QGkMWoGUiSQTnXeINrK3MJQ288rWWHShUWWJKgum0hBGRzcMqDRiTI2x5Y6jNmgzxSpLGDast1uEctx96TZlNefs9JJHT37AtusZRofSiqKqgUBdGqIf6VxgNikxhcQ0U1qv+f0//jYfffQYrQzWGipbgrjqfxQYLQCJEhIrFYXK7IuwFqkMx0envP/BQ0IUrNst2jsmhSU6R11W+KHj/PSEcRx59913efW1V2jbnpQk06ZmWJ9nRsP7vPvHdC1z/YJBfAVlAVIjZAlCoYwlpYCQkZTGTKWInL1CyhW3EEkBxsHjB0cYciycDxpYayCOVMYQZCIIwVAkxiBZBThZOz448pyGkmlTMa81trIorVFCInd9ekqJTHEhMUVBOVFE3yNHy9hZ4lOHEGBKTUwSJS3eXal3BUoKSIJxHIgp0tQVxkaGcaQsEh6FDxEpQO9ATIoIpWnbEa0yoe+cw4qElAElJG7smRdzyrrAlgWqLLHTGcKWKFNTKk0ZAt6NpBQoqhpdTpG6Ruoil8KHkWbSUM0WtK3j6MkFH7z3kHbwdN4xjAO2sIx+REaPJlHVJWVRsdyb0UwbyqbhrQ8e8smTx0glkEpgjKYqSsqqIoVMkxZlyXQ6xRYFZVlirUFpA1ozjJ533/+A8/MV2mhsaenajroomNQN7Das4EcO9yuqIlLowLuPPsRosPZL1E2TNStXvYyfo8PlJ9iJIV+hJdo0eGWQpkSlRIiOGNK1fhZ2nRAh4IaB9WpDjAI3RiSKcQgMw4BSGjcGtFb0UuDR+GQ5u9A8vWg53gycbz1RFwilKazB2ILJZJp5WmuR0mCspa5LtAGjDIXWRL+BqLCpwdeart/S931+NzGSxFXZVILI1gCCnJ0XQoJOSB+QKWCNIApNiODcSIoeqy0pJIRI1FYjReZGkZJZVSB8Yj6tMSYR4ojSYOoK3UwpJvuoeo4sFggE2nfIbkO7OeeyHbB6gS0mFEVJdJ6AoFu3vPPeBzx5csxkMqPtet754CHWGsqiJIZnkvoQA2WhaRqLLi16MsNFePLkCUIIJpMJKsmc28TEvJnsKm4RYwxFUWDrBqnMrsilUUYxjiELiPqeOirqqgQnkbpg6HtOT0/Zm0+wVpFiT1nUpNBx7/YeRjhSGkHPmM4XO42G+lQzwRcM4gxkgUSYhrJeMKye4L3LZdhgiL6jH4bMQOwUX1fgSEnSbjtUygdNKU1ZGrQ2DC7wwXHPo5NTVmPCY+i3I1Jl+kVpRakT1kasEsz3Dtg/PMAYTd00SGmwVYXSghhH6Fq036JVT0hrVpdbUlJImWiakiQ0zsM4BFKKhBSRQmKtYujH63cbdy1BpTVEBAFFTGAkbDYbfMq7cvAjSkqU2JVqY2LaVMRtj1GRsjQYo/JOrQRJW4Is0GpCwOSwp+1oz8/oXeTR6YbvvPsWslqyf2OPm3t7+NWWfrVhs+04Pjnn5k2DDxFjSx4fHTFpJjRNhZZkEEmLFFA3JfPlEjuZ8eTpCW3bUpYVVVWBi0TvSSHgnaOsC7TJybXSGqEtIQmGkHMBLTwffvQhJycnuGFkfzpHpIBIASU0m7bF9R0yeRazCbWp8EPkvbc/4NbNfV596TbNfIJtGvYOD9HGXIusfkogfq4LQFvE9AbF+ilybAkpgC5A1wQz4t2WFBVKWfrW0fUjzg1IfKZSNESViHLCB8ee77/1mNN+BJHLutoklAZrIvPZHGM0i+WS6WxKVTfMl3tIa54JerQkhZbQ9gTXg+8pCkUMPUrKLCENI9NpjVYWTEFIieADfT+wXkOK0HU9QgZIBpkS06Jgs92SlEKQNQQ+JLZjJMYM6BjCTlAf0CJQpJLV1pGKObNygiQipUaJihQ1KSiSl8TR42SHTy1D36KiQ2vFuOn4j996h3/7R++hhOXuvZv8yje+yq3ljHa9pe16nh6f0vYDtigYfQJp2PYj2lpsZRiGYRdOTWiWS0xV03c9q/M1IiomVU3T1ETn6FpPUWr6cYuSASNr0BJtLMZIlCnpR48XinHoeXp8QvAjhRbMylzJc86gtKISidLmu2BynkrV+Y5nNAd7c1TM8tRqUVBOFqALhNQ/PRA/by4CIKsFeu8lfL+GcUMch12VTkFKBO+JLuBHx9ANjL1DoInA6BPnK8kHDx9zfNEzBsls2mC0JsYslJ9Op8znc5aLBUobqsmEoigIIeDHDkkArZEYfBgJbkAkj4yBlDzKGFzINfz9g8OsWQgC52IulxcFfd+jteb8bINSirOzM1arNV3rENKjlaAsJchcWg/eI7WkNKCFYhwdtixJMctJ+02LN4lSK56ctdz5ym106slWG5IIiAgxJkQCmWLmmOuKMMLmcsOjR0d8+3tvcb5x1CZycb7i5OSM+zf2aSYNzueYFQRKaSZNRYqeruu5PD8njgXF3iIzPAmE0MQI56cXfPD++wQXmU1qjNGgc9FHSkmIjuQlwSlicggFUhuKsmS5mNK7wOpiy97+PkVhGbueJ5cdd2/dYDEVGKPYW064ceMGdV1jtWZaZpouiEQznxPrCdX+Pfbvvoa0zTWAf3pl588uqSmWd4hum8vF/iR3ZuwqOn4Y2V6uWJ1f0K7WEASjh03vOTq95PQSXITlfIEyCikdk0nDZDKhqkqkkpRlSdM0hBgzDx1Ghm2LthapBEIkitLS9z1K5Pg7uh5b5LcWQkAJgVCaiMaHxOADVuUukhgjbnRMpiXeB27c3Ge+mNC2Pd4F2naLaiPBJ4RRJBQpQbN7/qt8xLlI30HbSp6en3HkR0oJ9+7tc//GBE1CaJVj06qgKCvKpiYKjYsRN46MXc/qcsXZRcfx2YZNDykG9IXg9PQU719BCsF6vc6aD5/dkqyWTOqCpioIviFGj7WWxWLJpJniHWzOVrz37ockH6msZlZXuawdI9LkErZAZCETEec9Y5fQ2tCuBNNl3r3bjWK5XLJcLnm8/YQnJ+ds245ZZWnqkqJpOL/c4Ha06fHZBbfu3uHw9i0WN26zvHmPerZH0UxzuPI3oidmpxslIVIAqSj37hPdlhQcOjiUkjgghYAEtJAkH+lbz6p1XHYRlyyLpaAqLEoolJQ08ymHNw6yjgKIQNt1bNdnFGVFXdV471EiUhWGICJVZSkLQ7ddUVQW50eUktR1xTAOO41vIAbQRUEkYMoK77PIJfjAZruhrmuUUgx9R1VVVJWlaSbEGLm8uKBdt4zjSAyZ/yZemRpCiJ6+3+JKTZxNmcwLPjlZcXze8vB4xeH+IYvK5kBayZ1eIDH0PUmC24mkpMi8c+8E28GTMEQBWiumkwlt17Foyl3lLLBer1mtLplNKyaTCWVRMo4jZVUxrUtMYdm2HefrDattR9+PWK3ZX8zQWuGcoygtpTV0XZetv4SkG3qiG9EK3NDuNiXP3sEN9vf20FLy4MEDzk9OcEOH947TLThVM5EwjB2bbWA2m1BNCpK26LJGlxU+RIZuS9M0GT8vwPrkBZinSKSaUU5v4zdnjOOW2GWaKqVADENO4qRhiIExRubzihtFiZCKFBNaaybTKUVTZX3uroLX9z378wVnl2uUMpSlYdN6JsslRTNhGAfKumL0Dmk0SIWuakY30vmUb6XaQsqiFJEiWgEktCwwpmC92iLQuCEgraYwNcFFQhgpCw8JJk3DvCnp+54YI+MwMnYDUmQlVoiBOC0YR8c4OKwFGSq2m553vvcxd2ZzJq9UWAu6MLlM77ssqhESrWuEUqBaEonvf3RC5zRFUTGf1TTTkrPVOReXe7DTmcQYKYqCYehpuxFEz8npBfv7e1RNxRgCJ6sNl6stKYFWkeBa9vaWTKoSHwI+BrQ29GOHVAJbGoa+RxnFvJrgnEeEQBwjfetYucT88JDFYsbLr77ER+++u7tjRapGY5VAJsd8OsFojYgeKypkiBAiVkpc3zIOA8u9gx9pjfCTrM8HYpHBCgLdLDGzW6h+i+pWSOMQakvSFlUmqiS40czZi5EQInYXr4YQKGxBIjEOLYvl8vok1ZOGJKBqamxZk4SkbCY0sz26YaCqs8LKh0BRFlmI7j1KG6SGlDxaZB45xPy3yrJkGIYsivM9y+WczWaDEIKh7yjLEtcPWGvo2o5xHLHGQBx2pdeItQaNJISw48OzUq+wBb70FEWJFJJzkejakTd/8D6z5Ve5s9jDJwnCoIQgJDLPbSxWa5wqWPWKN999SEBglYLg2G4d7C+YTqfMJjXnZ6ecnp4C4H1AasVq0zKdzujHwOV6S9d1nByf4H2kqWv2lw0H+3s0dXXdZ6i1hpSuFWUxRprJhJQSbdtibWaGtn1PDIKz44ExOPbv3qYqLVoJtITCWA73FhhrMLu7mW4atNJUZZXFWCEzVLawJKlou44pV/nc5wPyTwxiwZUHgwAFqIZy/2XGsScMG0QXiD4QpEbZlmrm8UOk7wbGccwHUoEQNttLac3g3I4ZSMQYSEiKssaahLYF3eix9QSUReqIkvnAaJ093YQQmB1lI0UiCpBCZT1yioDMyVkIGKNwLn8uCsM4DFRVwejG68bUcRxz6JASSkSUUlhrs8NRymGBcw65E3tLmYGtNezNawoluDhfQwy8/9b7QM+DV19GKYvUFqkrtK0QZU3stwxd4E++/5iji44kDck7SlVgiwI3Oo6OjojjnJTg8PCQs7MzEJJ1P3J5eYlLkovNlkU3Y71ec3J8zHw2R0nJZpOIbos8PEDWKucKStJ2HVVVsF6vMy9sc/t+WZYopRi9xxhBEBBCZH1xyunqFCEF0fVoBdZINutzDg4O6foOa+w1z3xV1XTeMQ4jZSMwVcUwDJ9qdfobAfHzwrlstySRdka1uE1qT5FdR0iBpBVSa1y3RieP9hLQJMBIRVlWAIzOkUQkpUxXaa3YOkelFGVRoGxJHzq0LfExoY3Fj23WXGjDOORu5txZomjbFaWVpBiQSqNSxPlA3/cURYEQkDeiXGlUu8oVBLxP1zvU0PfIwlIYi1KSGBPeObTQ+fpVinEcc8FE5PYnxojVoKclTVmQRoeRI5vjp1zWJbPbdygXU0xZI7RldJ40jLz/4Sf8wZ/9EFRBU1aUWrC/nDGZzyitoe97jN5nOp1weXmR70LecbneEBJs2i6HNiR8CMyX+1itaLdbrI5ooWnbDqNtjsdTom4qYsxJWFGUu2OT5ZYAishkUuN94uzsgu265aJrkUqhBDRlgdI65xRSXGuJr+5SZZVzEz1Y+q5jLiRlUZCUQe60xJ93fc6YeKcyvWqDFwo7vYFb3oVhpADcRiDGEWhBjphCokyROwRIeJ8LC1JAaTXDMCBtiS1LlO9zf1syKFFSNfnlmszgMcYrakZiTcHQb69F1lIkpMzJYdQGN3YA1zun0blcHLzPzpwxImJEJZHDHaszXZiywJ8AXdthraWwFqk1VmbePOuh8+cilTR1TXQjwzDgRoesJNZW1NMGh6EbBcpr8AmjEiYFnl4M/Nvf/zan/cB0UlEWFdPJhP3DfWTy1IWmaQqUkQQv2HY9vYeLbY/zjqqu0dZwMN9HBEc/RNw44IfArYMlk6baFaAUVVUwm9WEODKf7ZELrGJ3p8msR1mWxJSwosjJZt/vKqGS/ekcnyT9xDNd7BNCoO+7XD0taqqqwnuP0IqTy3OsyfqM6B3WGqRUzPb2spfHzt3r86zPGRPnf55nj6UqqOa3iZtLzLimcFtSWZIGS0weYiKGeJ2hh50vWs6qC3wEROY/53tLkgChdwUQwXX8+awVPEsEr1x4rnhkYyxaSTwyt/slSfCOGAXD4ElJZc2DkMRAlpOObtcqlStWIfSUZYFWWftbFAXOOYQUCCVR0uzknBIhFaUQ9F3PsJMWKmszrSYS4HFZ3JFj9l1vYoyRTbvm22++xbsfnTApllirmNQV09mMuiwQaLQgV9h41hYfYqSqa6bzGV3X4Zyj6zqMSMym0yye0pKi0MznMyZlgdGK9aplsZziXWQYul3LmKOpG0IQjON43bLvd0zIFftxUVzgI1xsO+7dv0sMkY8++ij30wlB05SE6JlMK0ieoR0x0xnd6NBljU+C6XKPop7kfOoFtNm9WGtXEUkoVLWPnt9AbY+wxuK1zsKU0Ofbv5GkmIgxYa3Fe09d17RdS1E39C6ijSFqhdIFAYknA/8q6VNKUZbldXt5Lhnb51qgJCntdtsQSVHgfSIlQdf2BG8oC5t9zrZ9dijaPW9RFNexdtgJ35NP16FINhGRz1psjGHwIT82aIwoCUOPUlkoL5JHSUvZ1OiqyD5sPuQQisiHHx/zb37vWzhR0VjNYjHhxs2beOdwbmDbtuzNZwgBzju8z1z8MPT0Y/Z1u2oeGMcRU5hrIC4WC5LPecioJNFHzs/OdoIewdGTU8YxX5jWrplMarRWNE1DjJFuZ7EAEILHFgqNZK8wJGE4P11x69atzNq4kSQ8t2/fwHvP6ekpd27dZnl4m/3bDzDlBFs1Oa+R2azm81TqrtYLBvGuhUUazHQfVZS7OrxGFAXRmeyCNXicz9rdcXTYoiDEgC0rjC1wKaCNZRRZLulDxOjseZCBHElJYGyReWCfS9lqB7rROURKJC1xfpfciUSMA8PgkVITA3ifO36dCxiZSCnkfjBrc1+cNpRlCSRczDLHmAKlsbk8PA6MYy7vmqrJ2bk12UTRaJxzGG1QKoGI2KpEao0p6yxrRHCxafm9P/guQ6y49/IdXn/1DvvLOU+PnvLmD36AkoqirDDasFgsUUT6tkMqyWIxZ3Se1Waza+8XOOfpd/G/FIJHzlEVhrWIDJNsYdX2I0fHZ2ijOHpyCijiLtG7dXuPyaTi9OwSKSV7+0uGfuByWDH0PVZnTUUMidE7rNU4p+n7jrouKets0TCZ1MynE+bzOfPDG5SThuneHtP58pmL0N9Mt/NfZ2VTam0naFMRFGgtcCkgrc0tTM7jfAc+661ikdBliTYVzifqWcUYBbas8EnmDhElCT5irSWGLNhJgDKGkHL8myKMw4hQGpESPgpcSDkhA5KSRJkpO9f2pCRwPseJQnqkkBSlzeVXIiG6XdgiKJuKvu+oypq0i+VzJi+zJ90wXH8vhUIpgzb5+2JSI3Y9a2VZoavcgv/w8VP+P//2D3l83POVb/wi/4v/9f+Oejrlwx/8OZ88erwTnyf29w9ZzifYwjD2GwKJyWxCu92SYkIEly0KlMnd5QJcyOHPydkGgaQpDX0PdTXSjx2iLCnRfHK+YTFfEvzIoq7Y9oknJ0e0bcvtW7c4PfuYFAPz+QxbFAxiRJtsEoMQaFPQNDnGVkrlFF9KClNQTyY08wUhe3uhpcBoxc6W4oWtFwzi/OokkTS2RDfsqCdFUVgiuS08mUAsClz02ZhDScqyyHGryq0xbT/sAJFjuhAiQluiUEQpclGhzEdCa02MuQhwFQIE75FCXf/cx3xSrwRDWIV3AzEGpEw7n7Z8AobhihNO12HLOPY59Ak+yzSr8rrKloTM2mSVqauQIsLsklBrEbainC1yy35dE5Pmz779Fv/q3/wRur7FV37xLv+H/+b/SN1M+PPvfIe33347994Bw9Azdi2xsaQwUhrFpCro6xI/dIio2JtNQWvOLjeklO9YOezJv59SYn95A1to9g/22LZbJpMpTdNw89YNyqLEDYqqtjtrL0VdN5ycnnF52VIUFaeXgWZSM59ZptNnwqemEDRNkxM5KbFFiS0KJk1D1TTYsqRzgePjY8rpgu12g6km6OLFQe8FgvjZpSWTJwxrCCNZpKJIWqODxjuXpY87Ckbtuoadc5mikjtlmtY5pjQlo8uxtq2yhkIhiKMjxkQIPvO0IWRvZDLtlZO4+ClrKrWTGOYOFIgi5hajnWu8UfoawNkQJu20yiJn1zFfFErr7LIpRU7UpKZQxTVvHFIiECnsrj/NKGT0GGmIbuAHb3/I//2f/ktEeYNf+eqr/O//m/+a2w/ucnZyRIwj465cPplMdl3ZksWkYlIYyqJif7nHS/fvsN1sOTs74/zskm0/IhAcn57n8Mvk1npbGKxVzOYN+/Mpt27fBHLyCvBGXbNer3C9ZDqpGPuIlPNdwaOjC4pN19Nut7QhUDZLRDtky9giVylDyDazShvGADJJXBQwjAzeEVA0s8WOM1bX5iovar1AEGduVeysIaPzWSC/k1lLrUl9RKQMd6M1LnhcDMgQKZsCH0CafLvRO3PpFAIIjRsj9bwkOgcJpNL5lkYkCfDeY3RmEa6aGtmZssSUixpXcV+MeXe2OoO99UPuRBjH7I2g5PWuvIvyKcuStusQUmBKS5IZCMMwkpJDSUdVTzBlgbCGJEBpg1C5qKIl6DiyOl/xve/+kKRq7r3yMr/xX/wG919+mRAcQ98zthsKa/DOMZ1M0FJy52CPW3t7+LHFbXuiDuzv79NUJXdv3yQmycn5JX/6ne9ysd7Qb/vdTuk52Fuwtz/j5uEBN/b3uHfvPux65EII9EPPbDbFDy1Ex6lboXZG4nUjmEnFetgy+JFClRydnqOVZH+xh9bgRaSsamKCy/MLotDUzQRTViglGfqOQES2HcOOQbmyvH1RIcULDid2IBYaYScgVY55pSCQq2t91xJGhxKCVGgkkj54yiRwIftQCFEgd35u1li8l0gj6UdHURRsNhuk1Li+RSoQhKxvtfVzJnh518x665RjR5FyM6YQxGiwSjHGQJCC6AasMaRxQO8KNJGE1gKtJd45fPBUdUMgIULChZG6LEkp5nl5KpG0orR17ttTBl02CGOxyXH+8H02q5Ynx+dMZjN+7df+Pq+88VVSEmzOV2zPLhjWGy5Oz7g4O2fv1SU39g84XC744z/+Fk+fHpFiwlSGr375S9w+3OPgcA87abjz4C66aZC25O2332dS5mbMw8MFd+7e4NbNm8znc6aLfaJQ1+VyPzr8ONBtLllfnFNWnvOLy+sKXlNoXntwl9Wm4/xyzXrs2ZsvaNuBFKCqLS6sqaqK2WxBVTbUdYNUijEE+jFXMpMPDF3m6l/0ENsXCmKB2M2JCMCw281Evr3u+F03ujyEZnSM3lM2UwpldrqGXFqOMeSELe5cF4XOO7dzO/42oKUkSpGF9jKXmp+PZbXWpJ1YXUlJDB5rDFKCDwldxOwnkTxKCWSSCJHDD62z9VJh9M71MRHDs4KA3NliSSlp2xYhQBmNljo7wnuP2jVWIkBGx6MP32a4OCORFXp37tzh9ddfZzabIYD1esXFxQXrzWbXc2i5vLxksVjwu3/0J2wvLinqhotuw+WHj1mtWqZ1wa//g7/HS6/cpyxq7ty8xX/xP53zjS+/xsmTTxi7LZNpw3Jvj7osKIzaNdKa63AilIGuU2hD7mpxgbPzi+vcQuNpqpr5zX32FjNOzi8Zup6hHzBSsd2OLBaLayelYRxJ2y1iHCiqapevPCsvD8OQK562Ykfwf27cfSExcYoO51YkPFcxsVQyK/zJPK4xBhcim+2W+d4BMSXCLoZ1ziNURAhF13VUk4ah9yCzyXTTNPi+Q0gFOgPNGPMpkBttcGlAiHidoOXwIPfykSLjOFBVlovuMmsjtKZuCkL0xJhQ2hBDZHQD0UvKokQpTdiZwozjmA1Grp979/5T7jNMKSERXJw8YX3yhGlZseodzWTK/PCQ5XIvaz2kZD6fc6wUbhxpmobFYsF6vWa9WvHG/XvcuP8adw9v8t2P3+dfXnyTgOXJ8SV/+Ed/htFw6AKLvRtMmwnVG29w994dVuenJNejJBBGfC9I9Qxd1Ne2Y0IrKiVwPbTthrKuuHPnDlJK+r5ntbqgGx2kwBhyPnA1rXUcB4zIjzMmh0CdG6gF1HaKgOvcZxgGvPfZE2T3+S8MxfwJ1wvdifNNIhJdh9te5nJtAmIE7xF4CptvM1IoqklN6Hr6vqMo6usBQykG3DiiTYlAsFldYMqGIBLRJ6zSCGPZtqu88+2qaPBsmHlO2LIgPqUsUsp2s9no0IUBYwVuu0WEEalVDiNkjpkLrWDXrd0PPVplo79x170SQqSq6lyp2g1e0lpn9yFbABI3DgzDwOXJESLlKmLctlR1Qz2ZUddNTnpjojCG2XzOdDbn7OTsWpNx984dbgDhg6cM73yAf/IQ7RxRaIRtePTkhO9/+22+NoDvRw5fuoeqGiqtkEqDHwjDhm67Ioxbotui5CQ3f9oSHV0WS3mNMgVl06BtATEndsdnWy7XW4RUNJMpdVEQpNoZzCRqU1IJyWazwXmPUpbwHOVYlgXsuO56Ms1J925Wt7jqdP6c64XHxBBIbkAHTyILQpwbieOAjB6rwUvy7DgFRaFz57AxaGl342tV1iKMDlNanBvxTpBUSWEqhm5Em4jUkjBGiAGlDEI/G0kQgt+xEBZrC0Ia0VYRx4EUsj9G9J4UHZpEUZjMEYeIUia794RAUtlQWxidTf5iQitNWRbXDEaMHql2ZtRaoY1FSo0fOtYXZ7huy2y2AG0xeuTBS3dZPHiNsm4QQu4ESFlAZHel5SvHzfPzcwqhmCvN8ekxCsGX9/Y4CZKPzlcYAz987xEyCt5wI2VTsLhtsv2AEEStsarBjS1uu6Ffn6GKEjtZIkSZefsQSBGayQxb1vRdx8XxCX3XIcjOPCIm4jBQlDVtjIw+ILUhIFlvO5pCI8cB1RT4ELAxazdkJUhIPIKkVLbDNeaFMhQvvNhx5XqZUh5CnqWP8TobzhxkHhYT8SSRctt89LiuxydBlAZlSlRRMQ4DQuZyqi4NIYz4EIkpyzm1UoSUd11ty53F7EixkwBelaoLbRHeZVOXFAnjiBK5vK3mE6rS0HUDUuj8+kNkjIGirnaeFuGZDeluMilkVkRribUamV1TGIeO1cUKRSCMPdooymmDFIYmSV45eJ3Z/VcxVQky6zZQkr3DA27cvs3J4ycMfc/BwQGb7ZZ2tmA5m/HxyZ9zdHpCM2n4lTv3GB8fsdaKk37Ln779DpfbliQsYJgu5xRViYseoqJspojocGPP+vQJExKVzHZXWQmYoSB33HeYTlkslwwBNtt19uGwma2ZNNmce9sNrDcb5k2Fqotdn14OH+wVvajUblJfYugHuq5lttO6vCgYfwEgZtcsejX3bZfUxZTjYiJKaqTQDP2KGD2+60kuYKzIxQxACkMwAaS5Hq3rfY/RDQnH6AYKrbKXm5TXF8pVp0AGl372eQzI6BAxEcYRvauRG2uzVnl9gXMDShXIK954p6011uYRYlKyWq2YzmbXRZGrxCVTewo3RIbRkYKjqgq2vacoDNIaggdbV8xu32R++9aOgbm+f6ELy/Jwn5s3b+LHnQrOe8R8wrf+5AecrLesR0dtFXfqgi/N5nx/s+F4HBkLww8eHjGZfkw/tLz+ja+yvH2INpYYFUU9JbqBsDqjX53m5FdpbD1DCHWtI8Y7/O49SyEwRnJ4Y4/VakVZFkwmE7rBXSvXlBbXFq3GWuJO1df3PVJJhFeEFKmnC3zwbLct/dDni+pnk2ITCBRSWaLUJJE5Ym0KgrQI7bO9v8tqNi0FIZuu4foeoQrQJcpoImI3dy5ba4/Oo5Mg6T7bSbkRF/Jna/SuafRZl0Uic8XDMFAUkZgihcqGKXkiZ0BZhSkUvmsJ3Yjw2RAx4olCUTQNbnQorfHJMcRATFAUFSlBPWmQRqGUJIWsV9BKUDQTjDaM3SVSRkxVI6SgsOApKZo50/neTkMAQmbxPyEwnc6ppzXKSIqkcUNPoy1vzBt0IRljTdHUaCK35zPeX28I7cjgBS99/Q2+8+67HJ0+wVQNtqmol3OUNGAqiukeeEc5diir8MMqN+jaOru4S4lShsJAKiPzvTzPI4ZIXZSUVUlhC8a4ygWUSYUSAqNULsenPITeKI0pslx1dB6pNG5oc2NoTGjk53L8+ex6sSBOAkRub0+6yIYqxpAGjdKGPgiEMRgh2axWMA5453ddBgVC52mXPkaK0jLGiDUKqzSjzzM3hi57vwU/4lO+dcWUNQbsAAzZR7fvBpwfkDJRlAYIO/FQgJRDGxccceiJQ8iioeCzmm42Z315TlmWeO8wjcHFSF1XjM5l93nkdfezFHLHR0eEzHcj5/zulmquf143+zTTfZSyzw4bYsc2SQSSoi6ZL6acPT2hrgqGzZoDmXhjscDTopIiDp5ZVXFnueB4HDiJ0A09592WzfqSw8P3uPngFqYqwBS5xaqqkWmP0G8I3iOGASc3WKkwZY3SBb5zJBkpq4obt25SFgXnZ2e40eFjoHcOYw0H5RI3joiQqKqKumryXdf7TGmmxOg9RVntxkTkGF0JSfB5E+PZJOLPtV4ciHfMgkCgywZfTpHbBqO3RCWQKqGUILjMHhht6LsWdw3iTMfY6lnvnVQGHzxJSqqqZOyyKL3rOoTIfmdXselVefmattk5tAuZ1VIhZvMURciGIMIitCDFcReOeIK/GqoiMDbrdRP59cmxw9gSHzzRDyRtkbJEylxKjW64NkfURu5YjIAWlkk1A5176nRzQNHMP3XoxO74tW1L13WklFgslnTrLeMwMpktsQ7Mkwvm52tGIdkMHSnCRFuWxjI/2OfRyRGTqkAMik9Ojzm/vKCe1tilQWqJROKMYhzz3ePi/BK56ZklIARs2RAIgENIEDIwnVYYvc96nSe1+nWkqqprU/Rqd4FcOcUXZUlV10hjYBdyXSWpeSRwvG4h+5ms2ImUct+oNOh6Qbg8ymYpMSJV3Nm1RsIwfoorbJqGcXxGiBdFmWNdnZO2DI7chwe5C/qKHZBSXpea86551Q0cdkT6bronufdNk5sbBQKkIIbcFDn0A1cjrKq6AiLGKISICBGRIkHIiVGuEuZkz+oCYyzCaLzP+o+uawnBU5YFpbYoaRBaIVWBqfcxRX0du19Xr4SgKLOOOfefJe7evcvF6RkhJYq7d1g9fQrnTxCV4dy1lLYkasHhrQNabZhuJLOiIhaC+eEezWSCFtkDznuPELnSWOqSclohi4pxs+Li6Am6qKmnc5LWmXUInhAcQkSMEWgtsEWD0AXn5xe73bfC9WPWEj8npHejw7uRqmlyE6y1eOdRBuoqd36IF8QRw4vmiXdXlgCEFCSrCWoXYniBCIkw5ltJGPOIhKQkQUqU0QzSkpTFpYTQ2eRPmYLgIt5FhMwzQerCEKPD1nnyZfAeKcV1ESXGiAsOiNSVwaqIUTGPI0iB4F3O1LcDyTni7qK6GqDT9z2NlZhaE2JCCokMEe8dYQw4NWLrKVpVFLZBG8M4enwiC3bKBiUSKgaEKpAihxNRl5hykl1vnls+RZwfGQaHEIrZYo/Toycc7O0zqSd88uRD0tKy9/e+irvRMPjE6ZMn3Lx5m/7DR0wnDU/Pz3nw8te5eesmk+WC5d19pssmt1yJyLjpCEOHkYKirhB6x4XHRD909G7A+462y5NJsxebggCjC2ipiSE3DjRNc70b927IYyuEoChs1ryI3C6mTJmnSaFAKOpmwuHtW3kGi3xxeswXB2KRqTVSzvqltCS5I9RtiW+vet92c5JjYhzzlKQks5+XLStCyu1IKMEYAoXKOoht22GszbGjVFildtaxWTAUgqcwRRYfhYBzPTEMyJjA59G6QoRr9/cwBASJ9WZLGB1FYXczRHLZerva7FqdPLauSZFcSjYSpRVC5rtL129Q3mSNhswNsNpaVIrEYUPaiZmktthmj6KZ/YVSqxAiz8ELjn51iU2RZVOzPj+lspZZVXC5PqcwhurODYoYsXsTYkx8+e4v0Y6OL02+RjmpUYWlnk1RIhF91kS0fsBKzdnRUzbblsnBHp7I00efsD45xRrNq196A6sVq6Hn4vxyF9LMkUJhy4bFYp8xRLzokaOj71uKnR2sDyFXLnWuzPqQqMoKZHa8DCHlThKls0vqz7aeeDcpEoXUE4pyidfnoAxePOuNy/4DeXijC5ExJFJIxH5AWklRSJIQmOuuWcUwOJSt80HyHqMNKT7TSlwlFTFkq4Cx26CFw2iFUdnU2+04W4A4ZvNtnEcldn1vuTVptVphCsVms6GZTZFSsukHbKnRZYEpLEJERtdDlEyrEikM3uUMXCuDwhOcQmqDKgqSajD1DXQ9u579dr0iiJg4+fgjfvt//OfEbsXtWze5e/8+FyenWCnotx1ODhyfHHPZbijLii9/5csYY5gJcT2ZKKpdmX8cuDx6wtOHH7GYT7gYE99/822Ozi4QSlGViuXBgv3bt1gulhzeuMVms2HoPOtVNnHRqqCe1synDeWkoZASrKFtW0IwFEXJdjNcx8PjMFDVFWU93UlfDZKsAzHP8faf1xn+s+sLALHYsScWUyyQpiFJhSdlKqmwuJh73RCS6CJKJkLKwM1xaa7oCXIVK4RclHAxOy7GQRGTuNbMCpGre8GN9H2PcyNDu2ZvWWNUQCVHij67SInMYmxWlySXAZ9CZBgcYcczl2WJMoIkno2E1YVFF5k6lLbA2gnIkrJaYFSdwxtbXRdXRpeVerawYAyinKOrPWTRXGn9rlfwnje/8+f8y//u/8HlJ+/z+p1b0G15/wffzW7BfeDw1i1kkS8yd3zMG6++zny5yLHuOIJ3xCHtYm+F67LCr55OeHJ8ycPHZ7z74Qm9cxzMJ7z+4C6v/8KrFJMpVhW0m5b1qmW77VmttgghmE4XoFQW+GuBVHm4Tz+0O6uF3GB6ZSq+mM+p65oonmmGr1x+zK6srrV5obswvHAQ73wErqbXV0tMMSeogsHOCEHg+xXCRIZhZOwDPoC2ZU5+VMkYwOgKIQ3SZO+ulEKurCmDiCmPNSBBuJJd5gTNO4/Esb14TF1bmrrICVkKpKR25c6A71u08HRjxzgEjLaIKDFSc3G5YTqfIgWYwuCix+iS0lpMUZBkQVFNQRu0LvNJIRBTjzEFoAmuRwpQ9ZxUzEAXmHJGUc8RqiRzS8/W2aOP+W//r/83plrw1a9+jZu3DignDW+/+SZ66DFVhbGSrtvy+KMPEMlTCM/Dt97k+PgEP3i0gqYqWcynlE2FAC7Oz/nh2+9zcrpldIGD5ZzZrOL+/Vvce3CbpKFbrXlyesSjR0f4MBCCAymomxpbFthygjYlIYEUkbIomC+WlPWE1aZFmRGpPbaUWeJpK6w2uRMnhawQ1BLbZId7YSvyyKEXt16oiu15R6KUQCiDbZaMdkpRZG8vxxof4q50LIgI3BiIAiaHNymkphtDnpss5E6UoyhKTQhZ9yu0RO5mDMcYCT4zH123RctAPW2YLabYqsQPPVJZRHJs2y2lTkQ3ZpG8NQSfdr1iClMWjASSzHGt0DrfRVIebYDSIHJ8a6opxuZZISmFXKmMfidGTUhtsPUMbE0yFbKYZLOUz7ISwPEnH7C6OObRxSXNVHP3/kv4kGgWMxgrqqrm0dExy+WS9bZjf3/B99/8IW3bZo5aGVJwtIVhs16xvzenKAq67Rat4NXX7rHcW1JVFWHo0Bpcv2Vz3nGx6nn08Izjp6ccHEw5PNxDzPJwzKqumc3mlFWN3I39hWwdoIylLEGqC/p+uLbAuiJ/M1uU56kkpdFFhSkrxK61/8UVnb+QRtGrlV+kKhfI+hDTnuJZI9CkKBBoTFGgpaIbAlEoOhcom4bSaFxkZ2KSiwJCACJkMA95KpPczYLz3hPciBABU5eU9YKqtNmvWGnG0TO2HVZnhx6rsyuNc47JJNu4RhkQRrC4MUcZk8EpxK5D2eBRWGUoygm2nmGK2a4fjey4SUlKYWcGkyjKKaqoiLpEVTN0s0Da6i8cpRgCl4/eo3QtZ13P7/7BN1ld9Hzp9Vt0w5pHT86ZTxcUheUHf/rnHOzf5MOHD5nP57ldSkouzrcE1zMtCxbT7CWcvTcMDx7cZ3Gwn8vFfcfxkwvWm4HVo2Mu1i0Pn57TdpGD2YzJpGYxn1FWNcaYaysr7xwxBGRQmJ2vXWWr7HkxmbLdbHetYIbJZLJrvs12umjLdL5kcXADZYoXYiD42fWFgViQ8i5hGszkAH9mEUiE0ISQ/XzzGC2DqQpKW+FNjqeQZjdCwO2m1ke0zlrgXFZ2ILIjT9wldc6NTKcNzWJOVAokWRw0QHQOW1aoNDIMLUnlXcMPjhShbhq64LKqri5xISB1QTOdkmSmAVVZkMjCJB8FEoM2esd4RLQuIDmkiCAkRTVBmhJ0gSwn6GoGcncbFWnX0JmT0fUnH/Pa4ZJZs8fD80v++Ac/ZN0d8bVXHtBednz08RGjd9y6dZsfvvcRtVFoW7Ntt6xXG843W6yWCOGpyux8b4wlhsR22yJthfew3Wy52DqeHF/yznuP8FHn3kdlcSHSd9kX5GrjGIaRdjwDrSknDfV0AoQ8Gi1EbKk5vHHIMGQhkFJZkmmspWmaPD6srJjMFtSTGWXdvDAN8fPrC9yJARGJSiEne3iT9cDSWFQ1wyoHXuJ97r+TSqGLIhsMCg0+4pLEjw6Cz/PpZETukr7gHMQ8HmH0gXK6x3S5nzUUkmwpK0Boy2S2RPqOMLQkLFJGAiOy3tJdbFDFHIVEK4sSBmktpm6Iu6TOWssY2OlfJUYbtMpjzYTSWKuQ0hPHhEqJoqhAW6Iq0NUCWewjzfRHdjEIKbn1jV+mJ2IfPiaWgspNGMPIoydnTAvJUGrq2QEeweVmw61XHlBPKqRMDH3Hr3z9yzTTKav1loVYUS5uMrrA8fEps8WMGODo8TF93/Pw6Jyn51uUKplMGoSWu2qcJ8kZ23ZkHC+yoMcYRgKBRONGrDTIZkrqHEkPBCOQRlNNGwYX8HHXud5U+Q6mFFVVMalryiILiv5W7cSf+iPGYsuKXspsPKgsSURGnwhRIlEgTBbBS4sgC25wjgS4oUdriTBZeplilnhGcsZcFw2L5WGunImE8302yWPXMh88rs9z87SRWaFFrh5WVUW6ShirCl1kvYeHXdkZ4uCy/qCoMEVFUdaYwl53jAgRIQUQEl1WqKIh6gZppqhyhq3n1z1/z4C8S0qVYu/uS/Sby1zdauZs+o4//+73efeyRZmSiKRdbZjXJb/01S+xf+Mmb/7ghzx8+AlIyabruH/3Lvff+BqmO8KnmMvNs4aztmd9uuL07IwYIufnlxRlxf7egq7r6NocmtkiDyh/enKGlGLXvWEo6uz33HcjJMGhKWEc6DeeQkfKOrvGS2GICZLO9l26KKjrmslsyWQ+x+5447+1IJZS5slC0iAwkDwxSlRVo3VBFHlSpS5qEIqUVG7TEwKlBBiD1gJhJEYqkgokbSEpqumcyWwPYwrSrsghdl3O45DH8SY/gnNomb0lQvCwG/3lw0CIDts0qMLgd7LPmBJKXU1PEmhboss6C2VMcf3esveEzBjeXQDCNOjiAFEtUM0+Upc/8rhcndDlzXucPPqYqrng8EBy3wpwA2998JiLjSMpgfAJW01oR8d//M3fYoySs83AZDrjQTPn44cf8/bTLb/4+l3icEkELtcrnhwd51ENO4Wf0BJtBEqDVAmtJaqwCLJ5+CrmC79sZmz7gUDko48eMptX1E2JJNB3G9wQEaXAFNOdT1vDatMiqwohJLYsOLx9h3o6xxQV7ApB8MIZti8OxM/z2SEEnPOkKACFUkVu91YV9XSJMAVJaKSxpCSuGYOqqii0QJR5h00yuwcZaxFSUZcl1WSGKavsChQDUsldzO0QCKqywg1AdCgEUka0FoxDt/NRi/RJoKwhAKN3eZqpA3Y2pLaqiUKibYUpG5QusVrnwpO40oxkTluVBUJPkOUMWS8QpiEhPyUCf56ZiDFSTRbcf+3LVDIxti395oyX7xwyKQznly1qOuejR084XXd8780fMvQddjKnDYrTpyvUuObL9w9ZdyMPTzpOP3if1vV0bmRv0XBrOWE2zZXCy/UaHzzODbteQjBGYrTGWA1SUzcz0q5U/OGHn/DOex/w9a+/RlNVRD9wcXaC0gI7ragnASUl0ipi2tI0U5Z7+wghqafzbBy404h/EbswfOE7sczjTgdH8AMYg0o1Y+wQGoyZoE1NUhakRPjdjI1hyFPum0k2FgxZx+tDwqWWFCPSaIrpAqGzP4WPHlQe0SV8PrBJapwf8+OVIjhPSqClQJkGwYbgt+imICro2xaZIlVR0Dm/46olVhaYsqYsF2gzRWhJEKCSR6Qs+kmmQukKaaekakpqlkjd8Fm94bVUdGeMmDuoLfMb93jy8BFBB9Z9NoKprGL5+iss797h9S+/wb/+zX+HDD53d8uAlPDyK28gU8em74ntORfWQuy5f3PBZFZzsGxYTEoEmvWqZRhHLlo4OzvPAiZlsSoSZOJitcWYiq7NxonOe043a4LN8+xc23L29Iiz1SWz2YzV2Yq6PCdVNcLWsPPxsEXJdLGHNvY6fJJfEIDhpxJOiGt39pSyPX+IEW0NykiIIz74bDLS92itdm47MceuV3MdQiSMA7saLVVVo6VAxJCNtIkImatxSiSiTLhxRBFRRiKx9H5kdbmiNIqyylZU/YYdXZcwSjJsRtbbLARXZYWtGoTRWFthbbnTDI95aihZLyEALRUUM+TkFrKcIpQha+aerR8FYLnz6C2qmvuvfYmH779Ns13Tnh6xCYHNdos6v+Tuvfv8w9/4B4xDz7d+8AFlNePmS/eopvt8+O4PmZqOG03J3aVBL24ymZbUdcF0PiUKCUkS6XA+cHZ2vnO0z50vzo27oo1gs9lgTW416vqe09NzTi5WDIOn2/acnG44v1hTFDPG4xVSamw1o9mrs2ORMbkRdCcxAPHCOjj+svVTiYmFlDsTE66zXoAU+90ky4gLYG21833QSJWF54mrkx4YXUsYOiqrqQpNDD4/T4rZUDB5CD53Z4w9+BGpILgBv+uCbpoGwpgdihTossi2ANaihWTbO/rNgBQR5ROqmTAxhqqcoZQhiogQHpVkNoeRGmVrsDNUfYColiSZHSp3ML8+Ds+D+BrA1w+RzG/cZvSRt771x8wnE5wbOVn3nB6dMKlqbh0s+J/9o1+l7Vre/uCI2WTO+x+/hxWJ1770Jb724BbC9cQ4Yq3M01VT4vRyTdeNdO3Ips165SuvY7GL+5umQWnBpJkxneY5Jj/84VtcXq7ZrDuOj88pvvoaUYy88847QOSNN17n/OKC6WpFMd1jPt8DZa4dmF6gyc9/cn3hIE4p0m7XBJf9z0L0+NHjncf5EZRmCIltNzIGTV03hBDouo7bd1MW+ux44LHv0CKijcTvWs2z0CKPdJUi4YcO13cMQ0/VlDuzEEVKhihltlTSIHwGtqlKQsjPoWQ2MGy3A4UmD8ypK2bzBQKBG3tEoRDSZRoQiyqmqOkNkt3Lt1Qhs1XXj6LTxJU2+hlXuqvfgRBIpTm4c4+A4uOPP+Rwf0kVNX0/cnz0mFu3D7h7a5//6j//ZSb6e7z/6EMOa8M3vvQlvvrl1xm3K/aXS7wf6fs8NSmMidHnUGG9anG7IkhVlmilaaoGrRXzxZQ7d25xeHiTlODk5JhPnjxhr/UgV0gE3kf29mf86t//5Z3ZyxG37z3Ir31HRzbzJaassoY7pd0u/MVC+YsFcYpIESgMDAlWfSbajx9fMHYJaSWdc6y7kU+eHPPkrMXsnN6j9+wvGsoi72qSxKzS7B9MuXNvn1u3DrEqQPSI6EnjSD+2+LFFhdzLRQp4nzt6SepZv1caSXFEBI+MiSQhJZOlg4VmSILQe2otmTYTtDCMbkNVCLSoEdIwCkU9OUQuHhDLBUoUf/mpeu4HV+C+Bnl6tl8JkS+4r/zKr/OHn3wAAurpjLoeQCR6NxIwTOqa/+3/6h/z9Oycrnfszw8oSk2rRnrfYYSk67KhycV6yxCyX0dhDSoZZrOCSVVTFSU37tzFx8ijR484Pl0hbMXxyTEHBwf82j/8h9z7+Cmnx8dUWnCx6Tg6PeLmjX2+/OqrvPnm9ynLmrKosKak6xz1vsUU9XX39E9j/UR/6Ud5aV3tMp96HALXd5yenPHW20e899YHJGHZu/kaN167yenTp5w8fMR333qL0/M1rQ8M4wZjNClGHp63yN34ASkkpdLc3d/Qrlt0SMyXDUaBCI4UstxS7UYq+H4kmLSL+1IuquzIdi1LvMwz52SSFOUUHzMFFWJkvdnSGIPQNic0SWCbBqML1AgXZ6ccn19QzDru/MJNqiLbVSX+0xn4j/zZZ/8vwWu/9Itcnn5E98kHrI7P2L91SBSJ6XxO2/W89fYnfO0XvsLdl+7w5OgJFxcnqE3295hNGi7Wl2y6Hr/e0g8j7a47GaDUBXdu3mZ545DJ3pzlbMEf/cF/5PzkKd1mxWa9QuwMAyfThsPDPVJ0GK1Zd1vOz9es2566maKKhrPjU+6+9AZJSpS1DKOj2oVuXxQb8dn1E4P4qr/tswP1roAc8zQT+q7ld3/7P/Anf/ynLOZL7t27QTI1JxdrHp+e8/7jI07XW1aDZ912GQhjPuDW5N6sQmaQ+BQ5utii8dSV5SWmTOsCLbJPRHA9KfSoaEh+JHmZ2YmUCAikzaMKYlQIVWMKSRh7ogBjBN7n+XUAAclktrxuoIyt5+2Hb/O9P3+TD975EL/1GFOzvP+b/G/+T/9nbn/1715rmz/vySubCb/06/+I9/7sP7DafJPtdk09nTKOI5Om4eadW3z7e9/nH/+X/5gHL0/4+O138C4SguFi1bJeb7i8XFMWBdt+yJZcSjGbzZhOZiz397l37x4+Br7zZ3/KZnWOJDB0GzbrNS+9/CrHj5+gEhwsZxwc7jGZLXAhMXZb3NAyKQ3SlJw++oTgHEHkscHX/XM/xfXjgThlPYRAZK8z53BxNxFHCUJIOO+xWuHHgXYY+P/9D/8Df/Kt76CbJXbScL465enRQ7QQCKtp1+dIETAqokVgu91mD2KpcDvju052GC1xJkLQgKf85IzlXDGpsn9w3LETKQi6ccQ5j+mHnZVryBNHgyBFyTCMO5+ECjd6XIhotSsdp0BZFeA90+mMECTf+c4Peeu7b3L09ITVtsUliTENxm05e//P+Jf/7L/lv/6/vEY520PC544Fk090vWdEcu+1l/nun30bqfLr3qgtt+7us3Ud//I3f4evf+1rSCNpVzkB6/uB0WVNiQt5fEPuSaxZLuc0iz0WNw7yHfLoiGF1Sbte5bFcCcBzfnbK/sEh682GyWLKpGloprNckBL7uHFgc3GKEitefXA/P05nqewzz7uf3vqxQJyu/hH5VmGNJcbA0G1RRmTXHqWIwbFdnfPf/7//Gb/9279DGByV2eLWJZJsXG2tpTs5x/cBGXUe4J1ajNb4rmP0gejC9SSj0UE7wEYMrNseITQTY7PjY2OhzxxwVJY+dEgkIgjc0CNkQhGRIgNMpQDCglTYsmbsWkYHpN3UpuWCYeg5Ww387m/9a7771kdMioLpdEJVLSkSuCAJ0WOU4uk77/P0wze5+41fQyJJIg9+/En3oyQSZVUwmy0Y0sCDl+5zdnrBdFbTdwMbt+Fgf48PPjrit37rd6jLxHwyJflAWVi0zu9DKUlRVOztLXJjZ13x0r17RCQfvfsWIoxUhWJ/PsOH3MN4+86Cxf4Bs71DbFkjSazWaza9ZzpfEMYtJ2eXxHbLJA0EGamnDUXVUFQz1AsadfvjrB8znEgEPyCk3GlLszV+HrjXMq4uKMoSpTV/8s1v8s//2T9ns15zc/8AFxJtCNRVSVmWrNfZGqnre8bBE0J2CLoaBjiMI4PfDZXhaqCNQBEYh4jvA2GITJZT/sHfuU9pCwiRvt/A2NM0U7pti1QJESPSqOsOg0JKdNXQ9z3dziAwjhEhI8FDCIp3jh3/7I/+DUfnA4vplEJaoq6I2uB9thiwhUWLSBh7Hr33A+5//Vdh143yuU6KkjSTCTfuPuBUwEGIVJM93nv7Xeqqoilr1m3P3rxis75g6BWtCFS2QGDQVjCbTQk+IAXUVbmzRVB03QapDPdefonFfM7q7JR3f/gmhZb4cWDdbwhuSrdZ5SlKixnzqmLbO1waUVJSVzVPj5+yXZ1ghKO5fYvaSGzV7GZX/4yDWCro+20euVU2CJGdIK0xhHZDd7Fh0w389m//Nm4Yubl/SG0Kbt+4gUiB7WZ9Xfy4uLi41ikAXI2XretMVSUZdu1GLnuceYFMntJIzrqO/slTij833L6xz4O7M3TVMK4DSkPbDmilUBrK0pCk+FT8Pgw9SmmMsYxdj/CZ/nMu0g+ej55uee/EURSL7EKkKoIqcS5Ckkzs1bjdhBawPnkM0eXhL3we0Xd2eda2YLZ/k9HnmXhRPOXwxobV6QlCl9zc32M6bbh5c5+Ly5annzzBuZaYNEFGqskMoQyz+RQZ8/G21jKd1vTDmHsFp3NeunWX5a07jJtznj58n6kLPHz8hGWMnJ4cs3+wx917D5hdmQ32Pet1x2q1QnUdi1pz8vA93PaC6Y2XX2gr/l93/bVAfJ2shXg9x6Jvtwihcgt61jxmF8ng+b3f+V1+69/+O8qiRArB/uEBPmVj7bYfuVh9kpPDBCiNVIkY3HWnxmazoR8GIuq6uVCqPK4gV54ESNg4x8Ona95+/5S9vX2m05p6IWjlMdp3yDhSVZaER8psI4CUWecgNVJptM5m3uPgGLqW9brj4ZMVUiuassCnQCB7x0k0plBEP4JMjA4aa5HJk3YjzT4vw/+MeROoouLg9gPqZob3gtXZKU2hubhc0bmB/Rt76Epz/37Ju4Vi6HpOTs7oO8fZ6UXug4uCxWyy0/YWbNot6+2W9eMTnv7x9xBacf/ubb72+st8+ZdvMg5biuYdfD9SKcF4ccZ7l5dMpgvKekIxXaBi5NbtG2xOEu36nGq74cnDD1i8/A0U9md3J/Y7b4ehc5SFRstM/stdHCykoZrM+ePf/z3+1W/+G1zv8IPnYG+fTdex3W5x/YDbDf2OMeJi9kiLMeKDzyYmO+OQoiiQpnzWzUyiUTkWb7uWYXRIkbs2np5f8PHDI+7eWLJcFNx7+S79xTG+W+P9QEqOQlckkQiQ+WCdRURCGaS2rNoN43akHWA1CjbrLXcWJas2oJVmOZkyqaps+GINndviUMSYud3Z7PC5w/l5a1VXvyuRuqCeH3LvVYlr13SXxwShOD0/oW1bZBJYbbl18zbr9ZqEwly2rFYrZJJ4F9h2A/cf3GYICRUjQhW0my1PHz1lGFvai1Mef/wRZVny2mv3uHXnHm67YXV8DJOC1XrL6dFDjKmwkw1VU2Vq0yj6MTuNHj36mFf7NVWz/zne90+2/to7cXZ+DBRlydBt0VIhU8QNLWnHIjw9esI/+af/hMefPGZvb4+LiwtOTk7ywU25upbHt2aXHnaOQFcgFUIwmUx27umKMaRrwGslMTtl23I6Y9ttCS5QlSWb3vHx4yNuH8yvhzVWdcXl9jK7x9tsmSTIZdjsCJQIMXBlgrDZ9qwvOy7byNN14ul5x7RW3JkvECkhd53PkLuTvcu8uDaSwspnrpIvcImdg5FQkma54MFXvsb7P/gejTBcrtasTlbZhrWW1HW9s/JSzOee9TobWruQx6ytVitmYs5227HdtrTbgcVySggl+/vL/L5C4NEnx2ymLbcP97nxymucPvmQ2Xyy63OsSbYCEmHo0SkwX0zouw3r0xMuj4+pmv3rO/fPHE+cvYA1Q99RWIPrt7mVXihSSAxjx8cffsDRkyeZIlOGg4ODbB5NlkYOwRMklLvRq0aZaw9jIQSjd3jvs9ealISURShSSogSi6ZQhulkwnzSsF5fYqRl2zuS1HR9z+UqoKRFuiELc7TK1qoiWwKQoCgK2t4hIBuAx8AwRo7PNpy2kncfbzjejiz8GiUi928eZu3GmD2RnfN4l0AkrJWUlWaxXORw5QV5KnwKACK7fNZ7h9z7yjc4f/oQUVo2J8d0mzXbtqVpml3ca1BK0DQH2dC6LEhSIlCEkO8wotY0dTY/jCkxn893nnZXbflTVNMQNRzcOmS7WmGtoa5nxGKKSomTRw+53GxI0oPrCd2W/vKCn55i4tn6a4H4SqwyDgPG5FlvRdkQ+pbgR2TKzovZb8DgXTZKMVpRVeX11PVxGJEiE+LbdsvgBkLIptijc9lIZcxzi5XWpN3BuBquqJXABY/WhrZrUbqkLiuskWw2HSdnK5pySURTNhPGocWidvGwQQiNVruBKlaSfCRFj4iB0krO1gNHreVs8GyCIjkJqxVVCa/evJOLN0GDLEAEjLWZby4U0/39nW44m9K+yJXJOoW2FXs37jCbTzg4vMXRo0ecHj2h3lyipOLo6AjnE1Zn56IUJUOfHYz6wecBPmWFMIbJpCEEjymy7UBVVxhjd7piSzWdMLoBW0nGsUfl5hsmjeXk6THCCJY39kmhpUyaWFqUyRKBn/b6a+/Ecmd8MvbZ5aYfHGUzpd9sGJ0nJMF0vsToLGz3LhBjoAolzrnsLtOOzKZz2r6lbVv60ON8TuhG53aUWsgDX3bKtSvVW0qRMQXG6HHeoZRlcAnnB7qNZyVHLi9L0o0FZVkj9Yip69yibjTD6NH2qnPD5+IHCSMFaRyYzzQHy5rN0HN/qpmZxOAC8yqr2BampVoUnLawavPMPCUlJEE5mVDP97L5C/7Fglg8U8MJEkkKbDHB3miYzA/Yv3mH1fEn9NuOECXbzYbRDQgfkFoxhkiMElmUIATzunnOWUlQTSbUzWTn0qOJMeTE15RU1YzCHmCLkrOP38p3HaM4PNynm9R0XUspPGJs6fSUZrm/e8k/gzsx5BcmpKSs8ggCKSVDN1A2M/quo1+v+PCdt7NKa6d3KCvL1bRQ7z1t36FMrrD55+SIV06WwDNLqvDMZnUcR6TKhnVKSrquI4TIZrNGlpq9/Rn7iylaJMZ+S79ZM5lZ6mrGmARK7Bwud0or7z1+HJEJCLn5VIaBb7y64I27Cu80J5stx+ctvg8c1obXHhwyuXHANk74wbunHJ1tEQL6oadoHlAsb+7EPNkZ9EWdxs+4tu1Um1nZZyrD/u2SZjJhfZLneZydHjPEACRCiLTDQDNboLUhkX3pFOKacmuamhg9Z8cXhBho5gtu3L5L2UwxZQ3aYg9uIoTh4uHbDEOPsSXGGOq6JnhHSPvszW8xXey9oHf9462/djix+4oU8zRQrTV979h0I1VTUfue408+QWnNcm/JdrNr7tyBGMCnxHbocvIlIfp0zd1qrUE9A/SVtO+KYitKiy3MzoFyxGrDcjphUkiawuaBMh7C2DO0a6ydYJTMxobRobUgkkOTYRgwWlMozTg60ugpvGI2MagDS9tC7E5pDgpi9DRWMOApJbzyxhv88OPLXDwQ2U72zoNXUeUMsZOGRq69kF74Sjvt8RW6pVCYyZJyGLFnp/SbDRerNULkZs/CFugIOu40HUpfMz7eez764H22mzXDMDCdTrn3ymtMF0tsNcmealoREtz5SolzifXJI3zImuQQ///tndmPJNeV3n93iRtrrpVZW3d1FaspUk1SlDimpBnKY3kMaATY8+oXP/jvMzCAgYEBP9kwbMk2bFgjazSgNCJNcWuyu2vryiX2uHcebmZVc/GMKFWzu8n6UJkFZBUyYzkZce455/s+i9ARo90Dtm+/hA7Tx7TX/zC+YLPDHwShNFhLFAtsXlCezymP76K6EgugHb1ehFaeQZuXS5ZlgRXQWuv5VlIgA+O9kFccNLnqqK0nrtZ2XsasXJWERiCR0qcROEeIwrYVqQ7paTAauraiKSRCK4QWhNGAxjoCCcXDU0wQYkxAt2JT52UBXYftLJGO0QqEViTCMR4PSEcpm4cv0J/c5N5Jy3xR0lpBP44YRB3TvdtIbfDBpa84I/6cc/AJ+Ek9nfZQacLDxTm/evPXhFHEcDjEBF4DwpMSvDFM3TREkU/zTk9P6A8HTDanbGxtMtzcIsqGK1aNQK5GDMiGHHz7DT5++285OX6A9782jLZuMdndI0pWkgRfcioBXzSIH5EfEkrgpCVJE6pFznt338O1ObEJECojEoqqaHl4PqfpLChN17SE2vuzrQPVGIMJowuRlHXXbu1YHwTByjFegJA0TUsWG6IwocoL6qKgnwyZjFJ2dkb0+iFBILF1iUP59EVpjAmBjsBECNuu3k6iAp9/l1XDoioJsoTRdMq8VlA3jDY32Dy4STze4Xzh+OUv3mJ2uvCmhMoxmYwZ791eUfL9Auxx8sk++86+ShJEETqOSLKEk9MTwjCiKAqSOGYxM/6qvGrpz+dzPlosmEwmJJH3nRtNN3nuxZcYjKc0rVvNXqjLzxQCkw64eeePGC3mq25ngFyJKPKYNCV+F/yBk8vSi2VkPW7feYX7H75H/zfvkT+sUZnBWF/XtRKq+exi2v9Rm4J1oBrjr8prO9a1te3amce5FfUfyJc5TenQzrE9HjLqZzjhmDcNbmFJGkEoHUQCqRKsrjAmpm5b/zlFQ9t2aMTqCwLnswXpMMSFMTZOaLXXpEh3DhDDTeZ1yM9+/tf8+tfvooQiihRpJLjx/AukW7eeyBXoEr78mSQJ/X6fYc/bKQRSreZJSi+IXZbEcXxxvNu2ZTgasXNrnxu3nmO4seu1NQwX50A8EpzOOYSJSUfRBXv7Se71Gl9siu2RoXfPAZRYJ7yyeJww6EVs9GJOZj5YBB1nZ2dY5bWGbdeR5zn1qmu3tpWdTqf0ej2Oj49Xwtkrd05YiZMI0jT1yj+1V5zs9zIyo5mkXtK/KFs+PirIAsEoCYhVgdoIMKFEJX6CzQQGozLmTUXVVDS2xXUtRZEz2ojZe+GQcLTN3eOGj05yDvZ2Eb0bLETCR3c/5ud/8yZNWdBLQqSwbE7GHL70Ci5K+DIIkZ97TtbnQ3pJ2rqqScIIYwxxHGNCQ5SEWOspXl3nrQlGoxHD4ZB4mJD0MsaTLUyUXezH+rh/GhLHZX+d1f8/2VD+nTt2n2FtOE/MtKuCeVWWuLbj4MYmZxW0tqHD8eDBPWZ5wWR7m6ZuaOqW5bLwvsBGX+RmTV2vqEYdsfELxyiM/S1QSqQUlG1L3Tpi5whtx0aWIETL6aLB2Y4osMheiK0bEtUQqo40iWjaDuEE0NKVOco1XrNYglCOUZaQbGSYwYRa9nnv3beo5xVt21HkBbOzc/7m//yMrq5JAkMoFf0oYGNvk8HBIUp8+UMvl/ApjHANRmuU0kTJKj3DEsaGJI1XXsw1RVEQRcHKkxrqokaIEG2yTwwtfS5H8JHnpwm/89FfB/KjDwChpNefjWICoxgNDAc3pijr5aj6g/5qNSxQUgOCIDBobcjSlCzLmE6ntF2LlsLT7wVEYUASJ6RJSpaknnLUNNjVUH4WxYQmpHOOvLF0BNRNxyIvWZQVxw+XHJ8VNM36pmexbUNTFd6zuWt9J0w6BuMhyXCC1TG/ff8+8/Oc/YNDhqMNPvzwLj/9L/+V9955G9qaUDviwDLuG269+Ap6sH3RlHkiWAebkKg4Y2P7pjfssR0O592erK/Zl2WBlIIojrwfB86nIMMxYZKsouEyhRCfznPXC7dPP54wvlCz43NexVckHVJ7/a22nBM7x+72DnePjjk8PPTjiasWszGGPM/JsozBMGNra5N+v0++XHL/I9+t8yW34BHDcHt5AXCOwAS0neXhbHnx/7GBmg6EIooThJK0wrDIJWFV087OcF1DWyxw1QJlQlCKLgQz7CGSMSUxd+++TVU1vP/giP/1yze5f3RC1zp6UUDUC4lNR78X8Pwrd7h1549B9S8Zy08kmNd3SAkqYrx1w3uNrOaw18zxKIouTHkeXXMoE5D0M1aWUs8kvmCd+BKr1sSK7SH8NFvQw9aOenFGTcvOziY7uzuMp1scnT2ka9aD2d6PLs0idna8V8Tx0QOsdV6AY+U13K1GP5VWdLldzSE7pNTkRclsXnuXJmAucpIwwIQ9hDbEcQ+hJM6l5IuCSDjassDVS6hLtAnprMUksfeZ1gkq6BFFGXcfHvHWBx+RFxVGx/SzhDRw9BPDeGjY2B5x+7s/IBzvAXL1VX5cleF/GL5ysJKKFZpsuMFgMKSpa7RSVFXlrYeb1lubOajqivF4TBxH9Ecj+qMxCLFq0jx7kfwHVicEKztvrIoQccpZXfNgXnFyvmQ6kUy3tnn9O6+w7BqaVhLo0B/YrsMEkuXsnLP7HxNLGOzcYJHnzJYLhFSkcUycptw/Oea8yGnrDkNLGnp3+KbzMxN116CDAF3WnBQVDxYVexsDntva4J2PT5lUMdNOEnQ5TX6OVJLG1oQ6JNAhBAkyzmgrS88oticpYeIH5quqAmfZ6EWeDjVM+c7332Dj8PsIYVYr9CeZE/vzsH42cUo0GKGP7xEqgRXSu7Y6WM68jl0cRl5T2SiCbIyOBn8AmerJ4/cO4k/vspSaloB3PjjmN//vLlWtmM0rrBS8uDUhiTLCOF6lB475bMbZvfssTu4xCCWbBzcoar94y6sCJySuhY/v3+fh/JyqqtFCEEUBy6Kga1uWDRR1BVpihEK2UNuW6nSGdRYZRSgn+PBsTv+dY3ayht1NQ5IEFx4gSgRYJzF0lPOHZJFlZxoxFSOiOOH09JSmbOibiDCruPWtb/Lc6z/GxP3LO9QTX9hdpqY6MGSDEVJr39h4pKXfNA2mben3eigTQRAz3Njymmk8m1dhuELxFOcc948W/PbuOZgBRZmTHx/TScGD0xNevPNNDm4/R7ziYIWqz6TXY2c6oVicM3t4xtnDBXlVYYxktlxyer6gqRvviycgwI9ZWiEo2paqsZgk80J2FjonEUpAGFFiePvuCV3VQNtxONYc7myS9g1Rz1xQ8Z2TdI3jwYf3KOZzdFcSihoByM7Sixw6idkYjBnfGnP7jR8RjA8QTzRw//+QSpP0R5zNlmjh/NpC+VmJMAwxWuNwqDBhuLXHdGf3S2cnXzWuVKZlWbSMp/vM84KjeYXUmlm+pG4aTn7y3/ng/Q/YvXmTQX9AmqXE2YCoP4aVJ0bbORwdi3xOmS9p2oa6qWm7Dtu1hKEXVamsQCrDze0JJjK8/d67dCt/CCUN944f0t/f5+jBx3TVOXs7G+zc6LGxHRFlGpRCBxGBiWi6gHxZc/fdU2gbQuGdTgPVINqOyahHb9AnnYw4fPnPGOy+SquU17p8Clbmn4EQ7OztE2V92nKJE/LClsx2liAxJFmf7b0Dnv/WawRh8qS3+A/GlQWxEIIszbi1d4vT5ZIPj084OZtjlSIwimo+56OP77EsS6bTqRdmDu4ThmZVdLY4LEVZkOcly2VJY/GGflWFQxAnCa0VIBQbG5v80+9/n/fffZv/+8tfULQdOgoRkx12bt7iPM8JDLx6c8qd/S1efn6TLG2w2vkZ2ijDmhCJwVpJ21RUdc2i6xj0M/pGYjJNb7rJYHOfG3deZ7D3Ii70jY2nFgKmu7ts7R/y27/9OYHoWHbaNz1MxPjgDt98/U/Y2t5GGfOEU6GrwZVeicfjETdv3iCczRl/cJez+YJl2aHckkhLZvOZd811jrOzM7QQpEmyamE6Iu0ubK3atkM4kM4SyNWU26o71DQt440JL3zjDrOzY7Q2aBzD3iahTlmczAjcgu++eoN/8doumSnJQkvbNYQ6wpgUGQTIuIdzIWEcY20NtvHD5M4SJinJsM9k7wVuvfID4s0XvVy/U/6gPcVxHCYRf/LDf065nHP0wV0CFbCxe4NvvvYqz734Cll/gpCPZMBP4x3lC+BKc2IhBMfHx6TDEf1+j5defo26Knjrzb9ma5xh29YzRGpvCG6UIl/6Wi/OsjsdkiQJi9J7LXfLHC0sgXQorT3FqelAGY6PTpjNlmxu7jLZ2GJWNQQm4Pz0iExWPP9cnx/+kwNujBxtvaTrcoQAE4QEQYwTAidCnEiQWuPairrIGY/HhIFEhprN/dvsvfQ94uk3QJvVjq6fnuITLwQ7+wf86Y//FWf3jxgNhkxu7BD2U6QOLxZwTlxWNZ5lXPHC7oif/PQn/NmPfkwaJWTRECEgiyQf/vZXyFU/PlCapqnJywKHY7HMaeqarskJw5C2tQRaY4wG1yFjP6RTlhV5UaCM48HREf/+r/6Kg71dJtNNPv67X/Pw/AFb4x6vHu7yoz/+BgdbPfIH7690HCRCe16ZQOKkZxI7Zzg9OWZ2ekIWp9T5ksAotvdvs//yHxFtHuBUiKAFhGc9PM3reLHupAbsHtxme//QS3SJteWwwD7iLf3sJxNXGMRSSkZbE8pmyX/6j/+BF1/6Lk4rOtewOJ9T5h0mcOSLBZFSBFLSBda3jeslRdlQNwWb0wlCSqxrcCvjcOv8l6TuGlCCZVXitOLBw7t8eO8d6rJmFClubt/gW4dbvH7nJi88t001f0C+nBNFhljGXk3etQjRIWSMCDT56THFvQ/Z3xjhnMIlGXfe+FOe/96fE01uQpDir1V6xZhe42kNY4FYNV6CVensk399erf898WV5sSvffsV/u2/+df85b/7S/7bT/8zyWBEHGnqqqKsS5wF4SzFcsmo1yftBbR1jessztqVAHdF1stoakG7SiPoGprV/HHXdbStpcyXZNqxPeoziDeYZIZbW31efmGfySimzmfMHz4gjgLifo+1w6UMQoQ2oBICIXH1khdfPEQbgUymJNsvMX3+28QbWwgdevInPMJ1e7pxsZXPwsZeEa60OhGYhD//l39BJC3/43/+b37x5t/RlQFxlOJcR9NalBS0nWUhBFKEICVGahpaBmlCV5WUwvlZXyVo2xqjuGBJu8KbLNZtx9lsQRYaBhsD9m9ss7c9xLUl50dn1OUJ/QQCI3FaIZVBaVAmwgpNZFKUDEg3thhv3yZI+sjBFJVso3QftFy11teX36c8D/4a40qCWKzESJyUxMMJP/jhP2MSVdy+OeZX7x5z9/ghSRJRlTmBkvSzDOHsheGJxpGaEElHLzGe9SEUofaPqqrQDrIkoapqbNNRtlC0jpPzBWmgiKOIznXs9i2joERREqjYG2tLjZMBTjqE9ja8gQZ0QLL9DeKN2wjVw0rpJ9LWfhNr8ZLrAH6qcaXphMDTkNLpHvt7U+bH9/nN2zVnZzOKsqHpWkZCYFwHCkxiCJRmlKXMz2e0bUMiOkwSUnaSpvSi16aXMF8W9BPYiOGj8wUPS4FrHUkcEKUptusoHh7j0gACRxwFRHGCjlKEMigVEqYGQo0IFNp0dCYlGh8i9ACEuJwfEJ8errwO4KcZV5dOrJ4dILQh2jpkNHyH3Q3Dz96qOF/UxLEiSVOS0IC0JEaShJp+mmD7mrOzMyLRMuxHNNKQL8VKjlUxHY2ZnZ+STIZsDiLeOymoXEisHOMsItEdWWhJQkkUK7RRdCiM9k6lUZwSxAHWGJQZgJkSbewjgsuO1WW5VHxmz67x9OIKr8Sr3NHhZ3o3D5nc2mf/bMnNd08oioZeCgebffpaUbUV/TTBKJiME1yrCNo5gbWkQUvQ69P2Al9PDg1V06BlSiwFw/6A0aDjfLFklBpiZZkOU7anCf2eI5CeHxcmCWGcocIYE8W0WHSQYaIJwfA5RLSFFeFXosz0dcaVW9wIwAmJjkdMbn+Hw7zje0c5FDWbGzEHW0NU1yJkSBrHJJFGK4sUGltmxIFAKUnUM+gwoCormqajCgJMZFBdS2clOybk5tgw6kWkoUKIjv4wJss0SRIRmBCpA6RJEDrCYQnjEJltEIz2Eb0dL0e13uhrPLO44iC+HAt0KMz4kO2DBW+UBeMoou0qAmWJAkkaGQLdEprAawR3LVHggA5HQ5Z5lnNZaCDk5OScUexLZWvhPOs6kiREaUeSxiRZhpQCdICMI1QQoHWE1qE3NjchYrCHGNwC6U3D5Veka/V1xtWbjV3QiMCpkN7uc2w3Mwa9hLPTIxbLGUo6Ii1JUkMUeYZFkefE0RjbNSA6gmCl/hMqnJVEqaFc5tiV2bkJHUkvRa811aIQFcbEkWf4qsB7PmupUQK6aINg4wDV3wH8FfipnEK7xhfGY3XMk04iwzGDvZcJVUyUJDTlgq6tsE2FNBKllW86oCGI6LoaREcUBlRVTSQdTW3RSoMErRRFWaCUJDCKLOujpMEkPcyK2uQf4KSiUxkiGWMGO6h0G4i8B/Q1vjIQ7vOcFa8CzoFda4d1uHJBffIebX6CaHPacuYlrVaaXtaBxlKVOV1bopV3ABJIlnmBkoKqXqC0om1bFJI4jImSFKUNMjDeTHxl+C2EQkZD3GAXlW17Y0U0XijVrYUzHsuuX+PLxWMM4vUvd/lCm9PlpzSLI2x5jmxybNdesG9r22HbGtdWBEqs5F29tJXAURVzdBAggECHCGGQgSaIQ7RSCAJqp+l0TJhtE/Q3/eyDNI/MPYjLjbsO4q8EHl8Qr/DZt29xTUFTzlD5Ma5a4roa19TUgOsahG2xbYWju6DOeC3g7iKPlVJhkd7lPozRUoPTdPEY1d+CcIgTGsUj0gzXQfuVxGMP4jUuP8UBnsUh2gpbzrHFDFstvGm4bbFtjW1LhPRBbJ31zvXWv8laGtYFCicihEqQ4QAZDZFRCirCD1yuUwax+rkO4q8ivrQg/rz0wvu9WbAttDWuKrBNjm2XdG2OaAusbXDOM3aF86xqrQ1OaayJUWEfFQ4QepU2PFIeuewiimdmCu0aXxxfXhD/I3CrhSB0IGqwNbQtrmvo2grn/FC6lAFKGc+0CAIQBgh4GoTtrvFk8FQFsTcLWF9L3SO3//VfVq86sap6OP4xEbxrfPXxWOvEXwjCD8xfVhDEpZvWo/O8zpftLGARKBzyE8F8HchfNzw1QfzJ5u8jE7wXMbka01lXJ3iUanMduF9nPDXpxDWu8fviegrxGs88roP4Gs88roP4Gs88roP4Gs88roP4Gs88roP4Gs88/h728KTVLZzTdgAAAABJRU5ErkJggg==\" 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       "   <rect height=\"135.9\" width=\"176.35508\" x=\"33.2875\" y=\"10.878096\"/>\r\n",
       "  </clipPath>\r\n",
       " </defs>\r\n",
       "</svg>\r\n"
      ],
      "text/plain": [
       "<Figure size 252x180 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 将特征图的高度和宽度较小一半，然后将锚框的尺度增加到0.8\n",
    "display_anchors(fmap_w=1,fmap_h=1,s=[0.8])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2. 单发多框检测(SSD)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import torch\n",
    "import torchvision\n",
    "from torch import nn\n",
    "from torch.nn import functional as F\n",
    "from d2l import torch as d2l"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 类别预测层\n",
    "# 定义一个函数cls_predictor，输入参数分别是输入通道数(num_inputs)、锚框数(num_anchors)以及类别数(num_classes)。\n",
    "def cls_predictor(num_inputs, num_anchors, num_classes): # 输入通道数、多少个锚框、多少个类\n",
    "    # 每个锚框的输出通道数都为(num_classes + 1),加1为加的背景类\n",
    "    # 每一个锚框都要预测他的类别\n",
    "    # 返回一个卷积层，输入通道数是num_inputs，输出通道数是num_anchors * (num_classes + 1)，\n",
    "    # 卷积核大小是3，填充大小是1。这里输出通道数乘以(num_classes + 1)的原因是，每个锚框需要预测num_classes + 1个类别的概率，\n",
    "    # 其中+1是因为增加了背景类（即没有检测到物体的情况）。\n",
    "    return nn.Conv2d(num_inputs, num_anchors * (num_classes + 1),\n",
    "                    kernel_size=3, padding=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 边界框预测层\n",
    "# 定义一个函数bbox_predictor，输入参数分别是输入通道数(num_inputs)和锚框数(num_anchors)。\n",
    "def bbox_predictor(num_inputs, num_anchors):\n",
    "    # 返回一个卷积层，输入通道数是num_inputs，输出通道数是num_anchors * 4，\n",
    "    # 卷积核大小是3，填充大小是1。这里输出通道数乘以4的原因是，每个锚框需要预测4个值（边界框的中心坐标和宽高）来确定边界框的位置。\n",
    "    return nn.Conv2d(num_inputs, num_anchors * 4, kernel_size=3, padding=1)    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([2, 55, 20, 20])\n",
      "torch.Size([2, 33, 10, 10])\n"
     ]
    }
   ],
   "source": [
    "# 连接多尺度的预测\n",
    "# 定义一个函数forward，输入参数是输入数据x和一个网络层block。\n",
    "def forward(x, block):\n",
    "    # 返回通过网络层block处理输入数据x后的结果。\n",
    "    return block(x)\n",
    "\n",
    "# 使用全0的输入数据和一个类别预测层，进行前向传播。这里输入数据的形状是(2,8,20,20)，表示有2张图片，每张图片有8个通道，尺寸是20x20。\n",
    "# 类别预测层的参数是8,5,10，表示输入通道数是8，锚框数是5，类别数是10。\n",
    "Y1 = forward(torch.zeros((2,8,20,20)),cls_predictor(8,5,10))\n",
    "# 使用另一个全0的输入数据和一个类别预测层，进行前向传播。这里输入数据的形状是(2,16,10,10)，表示有2张图片，每张图片有16个通道，尺寸是10x10。\n",
    "# 类别预测层的参数是16,3,10，表示输入通道数是16，锚框数是3，类别数是10。\n",
    "Y2 = forward(torch.zeros((2,16,10,10)),cls_predictor(16,3,10))\n",
    "# 打印Y1的形状，这里是(2, 55, 20, 20)，表示有2张图片，每张图片有55个通道，尺寸是20x20。这里的55是因为每个锚框需要预测10+1个类别的概率，共有5个锚框，所以通道数是5*(10+1)=55。\n",
    "print(Y1.shape) # 5 * (10 + 1) = 55, 55为每一个像素输出的所有锚框数对应的类别\n",
    "print(Y2.shape) # 2为小批量里面有多少图片"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([2, 25300])\n"
     ]
    }
   ],
   "source": [
    "# 定义一个函数flatten_pred，输入参数是预测结果pred。\n",
    "def flatten_pred(pred):\n",
    "    # pred.permute(0,2,3,1)通道数放在最后\n",
    "    # start_dim=1把pred.permute(0,2,3,1)后面三个向量拉成一个向量，这样就变成一个2D矩阵\n",
    "    # 2D矩阵的高为批量大小，宽为每个图片的所有\n",
    "    # 如果pred.permute(0,2,3,1)不改的话，对于同一像素的类别预测flatten后会相隔较远\n",
    "    # 返回拉平后的预测结果。首先使用permute方法调整通道数的位置，然后使用flatten方法将除第一维（批量大小）之外的所有维度拉平。\n",
    "    return torch.flatten(pred.permute(0,2,3,1),start_dim=1) \n",
    "\n",
    "# 定义一个函数concat_preds，输入参数是多个预测结果的列表preds。\n",
    "def concat_preds(preds):\n",
    "    #[print(flatten_pred(p).shape) for p in preds]\n",
    "    # 返回连接后的预测结果。首先使用列表推导式和flatten_pred函数拉平每个预测结果，然后使用torch.cat方法在dim=1的维度上连接所有的预测结果。\n",
    "    return torch.cat([flatten_pred(p) for p in preds], dim=1)\n",
    "\n",
    "# 打印连接后的预测结果的形状。这里输入的是两个预测结果Y1和Y2，输出的形状是(2, 35300)，表示有2张图片，每张图片有25300个预测结果。\n",
    "print(concat_preds([Y1, Y2]).shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([2, 10, 10, 10])\n"
     ]
    }
   ],
   "source": [
    "# 高和宽减半块\n",
    "# 定义一个函数down_sample_blk，输入参数是输入通道数(in_channels)和输出通道数(out_channels)。\n",
    "def down_sample_blk(in_channels, out_channels):\n",
    "    # 创建一个空列表blk，用于存储网络层。\n",
    "    blk = []\n",
    "    # 循环2次，每次添加2个卷积层、1个批量归一化层和1个ReLU激活函数。\n",
    "    for _ in range(2):\n",
    "        # 添加一个卷积层，输入通道数是in_channels，输出通道数是out_channels，卷积核大小是3，填充大小是1。\n",
    "        blk.append(nn.Conv2d(in_channels,out_channels,kernel_size=3,padding=1))     \n",
    "        # 添加一个批量归一化层，输入通道数是out_channels。\n",
    "        blk.append(nn.BatchNorm2d(out_channels))\n",
    "        # 添加一个ReLU激活函数。\n",
    "        blk.append(nn.ReLU())\n",
    "        # 更新输入通道数为当前的输出通道数。\n",
    "        in_channels = out_channels\n",
    "    # 添加一个最大池化层，池化核大小是2，这可以将输入数据的高度和宽度减半。\n",
    "    blk.append(nn.MaxPool2d(2))\n",
    "    # 返回一个顺序容器，其中包含了所有的网络层。\n",
    "    return nn.Sequential(*blk)\n",
    "\n",
    "# 打印通过下采样模块处理后的输出数据的形状。这里输入的是全0的数据，形状是(2,3,20,20)，表示有2张图片，每张图片有3个通道，尺寸是20x20。\n",
    "# 下采样模块的参数是3和10，表示输入通道数是3，输出通道数是10。输出的形状是(2,10,10,10)，表示有2张图片，每张图片有10个通道，尺寸是10x10。\n",
    "print(forward(torch.zeros((2,3,20,20)),down_sample_blk(3,10)).shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([2, 64, 32, 32])\n"
     ]
    }
   ],
   "source": [
    "# 基本网络块\n",
    "# 定义一个函数base_net，没有输入参数。\n",
    "def base_net(): # 从原始图片抽特征，到第一次featuremao产生锚框，中间的那一截叫base_net  \n",
    "    # 创建一个空列表blk，用于存储网络层。\n",
    "    blk = []\n",
    "    # 定义一个列表num_filters，表示每个下采样模块的输入通道数和输出通道数。\n",
    "    num_filters = [3,16,32,64] # 通道数由3到16，再到32，再到64\n",
    "    # 循环遍历num_filters列表，每次添加一个下采样模块。\n",
    "    for i in range(len(num_filters) - 1):\n",
    "        # 添加一个下采样模块，输入通道数是num_filters[i]，输出通道数是num_filters[i+1]。\n",
    "        blk.append(down_sample_blk(num_filters[i],num_filters[i+1]))\n",
    "    # 返回一个顺序容器，其中包含了所有的网络层。\n",
    "    return nn.Sequential(*blk)\n",
    "\n",
    "# 打印通过基础网络模块处理后的输出数据的形状。这里输入的是全0的数据，形状是(2,3,256,256)，表示有2张图片，每张图片有3个通道，尺寸是256x256。\n",
    "# 输出的形状是(2,64,32,32)，表示有2张图片，每张图片有64个通道，尺寸是32x32。\n",
    "print(forward(torch.zeros((2,3,256,256)),base_net()).shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 完整的单发多框检测模型由五个模块组成\n",
    "# 定义一个函数get_blk，输入参数是一个整数i。\n",
    "def get_blk(i):\n",
    "    # 如果i等于0，则返回基础网络模块。\n",
    "    if i == 0:\n",
    "        # 使得通道数变为64的featuremap\n",
    "        blk = base_net() # 使得通道数变为64的featuremap\n",
    "    # 如果i等于1，则返回一个下采样模块，输入通道数是64，输出通道数是128。\n",
    "    elif i == 1:\n",
    "        blk = down_sample_blk(64,128) # 通道数变为128\n",
    "    # 如果i等于4，则返回一个自适应最大池化层，输出尺寸是1x1。\n",
    "    elif i == 4:\n",
    "        blk = nn.AdaptiveMaxPool2d((1,1)) # 最后一层，把图片压缩到1×1\n",
    "    # 如果i等于其他值，则返回一个下采样模块，输入通道数是128，输出通道数也是128。\n",
    "    else:\n",
    "        blk = down_sample_blk(128, 128)\n",
    "    # 返回对应的网络模块。\n",
    "    return blk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 为每个块定义前向计算\n",
    "# 定义一个函数blk_forward，输入参数是输入数据X、网络模块blk、锚框大小size、纵横比ratio、类别预测器cls_predictor和边界框预测器bbox_predictor。\n",
    "def blk_forward(X,blk,size,ratio,cls_predictor,bbox_predictor):\n",
    "    # 通过网络模块blk处理输入数据X，得到输出数据Y。\n",
    "    Y = blk(X)\n",
    "    # 在输出数据Y上生成锚框，锚框的大小是size，纵横比是ratio。\n",
    "    anchors = d2l.multibox_prior(Y,sizes=size,ratios=ratio)\n",
    "    # 使用类别预测器cls_predictor预测每个锚框的类别。\n",
    "    cls_preds = cls_predictor(Y)\n",
    "    # 使用边界框预测器bbox_predictor预测每个锚框的边界框。\n",
    "    bbox_preds = bbox_predictor(Y)\n",
    "    # 返回 卷积层输出、卷积层输出上生成的锚框、每一个锚框的类别的预测，每一个锚框到真实边缘框的预测   \n",
    "    # 返回输出数据Y、生成的锚框、类别预测结果和边界框预测结果。\n",
    "    return (Y,anchors,cls_preds,bbox_preds)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 超参数\n",
    "# 小的size看小的特征，大的size看整个图片特征\n",
    "# sizes 是一个二维列表，表示各个尺度下的锚框大小。数值越小，看的特征越小，数值越大，看的是整个图片的特征。\n",
    "sizes = [[0.2,0.272],[0.37,9.447],[0.54,0.619],[0.71,0.79],[0.88,0.961]]\n",
    "# ratios 是一个二维列表，表示各个尺度下的锚框纵横比。这里每个尺度下的锚框纵横比都是 [1,2,0.5]。\n",
    "ratios = [[1,2,0.5]] * 5\n",
    "# num_anchors 是一个整数，表示每个尺度下的锚框数量。这里的计算方法是：每个尺度下的大小数量 + 每个尺度下的纵横比数量 - 1。   \n",
    "num_anchors = len(sizes[0]) + len(ratios[0]) - 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 定义完整的模型\n",
    "# TinySSD 是 PyTorch 的一个自定义模型类，继承自 nn.Module 类。\n",
    "class TinySSD(nn.Module):\n",
    "    # 构造函数，输入参数是分类的数量 num_classes 和其他命名参数。\n",
    "    def __init__(self, num_classes, **kwargs):\n",
    "        # 调用父类 nn.Module 的构造函数。\n",
    "        super(TinySSD,self).__init__(**kwargs)\n",
    "        # 保存分类的数量。\n",
    "        self.num_classes = num_classes\n",
    "        # 定义一个列表，表示每个模块的输入通道数。\n",
    "        idx_to_in_channels = [64,128,128,128,128]\n",
    "        # 对于每个模块：\n",
    "        for i in range(5):\n",
    "            # setattr是给对象的属性赋值\n",
    "            # 创建模块，并保存到 self 的属性中。\n",
    "            setattr(self,f'blk_{i}',get_blk(i))\n",
    "            # 创建类别预测器，并保存到 self 的属性中。\n",
    "            setattr(self,f'cls_{i}',cls_predictor(idx_to_in_channels[i],num_anchors,num_classes))   \n",
    "            # 创建边界框预测器，并保存到 self 的属性中。\n",
    "            setattr(self,f'bbox_{i}',bbox_predictor(idx_to_in_channels[i],num_anchors))      \n",
    "    \n",
    "    # 定义前向传播函数，输入参数是输入数据 X。\n",
    "    def forward(self,X):\n",
    "        # 初始化锚框、类别预测和边界框预测的列表。\n",
    "        anchors, cls_preds, bbox_preds = [None] * 5, [None] * 5, [None] * 5\n",
    "        # 对于每个模块：\n",
    "        for i in range(5):\n",
    "            X, anchors[i], cls_preds[i], bbox_preds[i] = blk_forward(\n",
    "                X, getattr(self, f'blk_{i}'), sizes[i], ratios[i],\n",
    "                getattr(self, f'cls_{i}'), getattr(self, f'bbox_{i}'))\n",
    "            # 进行前向计算，并获取输出数据、锚框、类别预测和边界框预测。\n",
    "        # 将所有模块的锚框沿着第一个维度（索引从 0 开始）拼接起来。\n",
    "        anchors = torch.cat(anchors, dim=1) # 把所有的anchors并在一起\n",
    "        # 将所有模块的类别预测结果拼接起来。\n",
    "        cls_preds = concat_preds(cls_preds)\n",
    "        # 将类别预测结果重塑为三维张量，第一维度是批量大小，第二维度是 -1 表示自动计算，第三维度是类别数量+1。\n",
    "        cls_preds = cls_preds.reshape(cls_preds.shape[0],-1,self.num_classes+1)   \n",
    "        # 将所有模块的边界框预测结果拼接起来。\n",
    "        bbox_preds = concat_preds(bbox_preds)\n",
    "        # 返回锚框、类别预测结果和边界框预测结果。\n",
    "        return anchors, cls_preds, bbox_preds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "output anchors: torch.Size([1, 5444, 4])\n",
      "output class preds: torch.Size([32, 5444, 2])\n",
      "output bbox preds: torch.Size([32, 21776])\n"
     ]
    }
   ],
   "source": [
    "# 创建一个模型实例，然后使用它执行前向计算\n",
    "# 创建一个 TinySSD 类的实例，类别数量为 1。\n",
    "net = TinySSD(num_classes=1)\n",
    "# 创建一个全零张量，形状为（32，3，256，256），代表有 32 张 3 通道的 256x256 图像。\n",
    "X = torch.zeros((32,3,256,256))\n",
    "# 使用模型进行前向计算，输入是创建的全零张量，输出是锚框、类别预测和边界框预测。\n",
    "anchors, cls_preds, bbox_preds = net(X)\n",
    "# 打印锚框的形状，每一张图片都有5444个锚框。\n",
    "print('output anchors:',anchors.shape) \n",
    "# 打印类别预测的形状，32为批量大小，2为类别1加上背景为2。\n",
    "print('output class preds:',cls_preds.shape) \n",
    "# 打印边界框预测的形状，每张图片有5444个锚框，每个锚框有4个坐标，所以是5444*4=21776。\n",
    "print('output bbox preds:',bbox_preds.shape) "
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   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "read 1000 training examples\n",
      "read 100 validation examples\n"
     ]
    }
   ],
   "source": [
    "# 读取香蕉检测数据集\n",
    "# 设置批量大小为32。\n",
    "batch_size = 32\n",
    "# 使用 d2l 的 load_data_bananas 函数加载香蕉检测数据集，只使用训练数据集（train_iter）。\n",
    "# \"_\" 是一个常用的占位符，表示我们不关心的变量（在这里，我们不关心测试数据集）。\n",
    "train_iter, _ = d2l.load_data_bananas(batch_size)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
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    "# 初始化其参数并定义优化算法\n",
    "# 选择一个可用的设备进行计算（优先选择 GPU），并创建一个 TinySSD 类的实例，类别数量为1。\n",
    "device, net = d2l.try_gpu(), TinySSD(num_classes=1)\n",
    "# 使用随机梯度下降（SGD）优化器，学习率设置为 0.2，权重衰减为 5e-4。optimizer 的参数是模型的所有参数。\n",
    "trainer = torch.optim.SGD(net.parameters(),lr=0.2,weight_decay=5e-4)"
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   "execution_count": 20,
   "metadata": {},
   "outputs": [],
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    "# 定义损失函数和评价函数\n",
    "# 交叉熵损失用于类别预测。reduction 参数设置为 'none' 表示保留每个元素的损失。\n",
    "cls_loss = nn.CrossEntropyLoss(reduction='none')\n",
    "# L1 损失用于边界框预测。reduction 参数设置为 'none' 表示保留每个元素的损失。\n",
    "bbox_loss = nn.L1Loss(reduction='none')\n",
    "\n",
    "# 定义损失计算函数\n",
    "# cls_preds 和 cls_labels 是类别预测和标签。\n",
    "# bbox_preds 和 bbox_labels 是边界框预测和标签。\n",
    "# bbox_masks 是用于过滤无关的负类样本的掩码。\n",
    "# 函数返回总损失，即类别损失和边界框损失的和。\n",
    "def calc_loss(cls_preds, cls_labels, bbox_preds, bbox_labels, bbox_masks):\n",
    "    batch_size, num_classes = cls_preds.shape[0], cls_preds.shape[2]\n",
    "    # 计算类别损失，然后调整形状，以便每个样本有一个损失值。\n",
    "    cls = cls_loss(cls_preds.reshape(-1,num_classes),cls_labels.reshape(-1)).reshape(batch_size,-1).mean(dim=1)      \n",
    "    # 计算边界框损失，只考虑非背景的预测。\n",
    "    # mask使得锚框为背景框时为0，就不预测偏移，否则为1，才预测锚框的偏移。\n",
    "    bbox = bbox_loss(bbox_preds * bbox_masks, bbox_labels * bbox_masks).mean(dim=1)   \n",
    "    # 返回总损失。\n",
    "    return cls + bbox\n",
    "\n",
    "# 定义评价函数\n",
    "# 计算类别预测的准确性。函数返回正确预测的数量。\n",
    "def cls_eval(cls_preds,cls_labels):\n",
    "    return float((cls_preds.argmax(dim=-1).type(cls_labels.dtype)==cls_labels).sum()) \n",
    "\n",
    "# 计算边界框预测的准确性。函数返回所有边界框预测和标签之间的绝对差的和。\n",
    "def bbox_eval(bbox_preds,bbox_labels,bbox_masks):\n",
    "    return float((torch.abs((bbox_labels - bbox_preds) * bbox_masks)).sum())  "
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      "class err 3.25e-03, bbox mae 3.04e-03\n",
      "3202.7 examples/sec oncuda:0\n"
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   "source": [
    "# 训练模型\n",
    "# 设置训练周期数和计时器\n",
    "num_epochs, timer = 20, d2l.Timer()\n",
    "# 创建一个动画对象，用于动态显示训练过程中的类别错误和边界框的平均绝对误差\n",
    "animator = d2l.Animator(xlabel='epoch',xlim=[1,num_epochs],\n",
    "                       legend=['class error','bbox mae'])\n",
    "# 将网络移动到相应的设备（如GPU）\n",
    "net = net.to(device)\n",
    "# 开始训练周期\n",
    "for epoch in range(num_epochs):\n",
    "    # 创建一个累加器用于存储训练过程中的指标\n",
    "    metric = d2l.Accumulator(4)\n",
    "    # 设置网络为训练模式\n",
    "    net.train()\n",
    "    # 遍历训练数据\n",
    "    for features, target in train_iter:\n",
    "        # 计时开始\n",
    "        timer.start()\n",
    "        # 清零梯度\n",
    "        trainer.zero_grad()\n",
    "        # 将特征和目标移动到相应的设备\n",
    "        X, Y = features.to(device), target.to(device)\n",
    "        # 前向传播，得到锚框、类别预测和边界框预测\n",
    "        anchors, cls_preds, bbox_preds = net(X)\n",
    "        # 获取边界框标签、掩码和类别标签\n",
    "        bbox_labels, bbox_masks, cls_labels = d2l.multibox_target(anchors, Y)   \n",
    "        # 计算损失\n",
    "        l = calc_loss(cls_preds, cls_labels, bbox_preds, bbox_labels, bbox_masks)  \n",
    "        # 反向传播，计算梯度\n",
    "        l.mean().backward()\n",
    "        # 更新参数\n",
    "        trainer.step()\n",
    "        # 更新指标\n",
    "        metric.add(cls_eval(cls_preds,cls_labels),cls_labels.numel(),\n",
    "                  bbox_eval(bbox_preds,bbox_labels,bbox_masks),\n",
    "                  bbox_labels.numel())\n",
    "    # 计算类别错误率和边界框平均绝对误差\n",
    "    cls_err, bbox_mae = 1 - metric[0] / metric[1], metric[2] / metric[3]\n",
    "    # 更新动画\n",
    "    animator.add(epoch + 1, (cls_err, bbox_mae))\n",
    "\n",
    "# 打印最后的类别错误率和边界框平均绝对误差\n",
    "print(f'class err {cls_err:.2e}, bbox mae {bbox_mae:.2e}')\n",
    "# 打印训练速度和设备信息\n",
    "print(f'{len(train_iter.dataset) / timer.stop():.1f} examples/sec on'\n",
    "     f'{str(device)}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 预测目标\n",
    "# 读取待预测的图片，并将其转换为浮点型张量\n",
    "X = torchvision.io.read_image('01_Data/04_banana.jpg').unsqueeze(0).float()\n",
    "# 从四维张量中移除单维条目，然后调整各维度的顺序，最后转换为长整型张量\n",
    "img = X.squeeze(0).permute(1,2,0).long()\n",
    "\n",
    "# 定义预测函数\n",
    "def predict(X):\n",
    "    # 将网络设置为评估模式\n",
    "    net.eval()\n",
    "    # 前向传播，得到锚框、类别预测和边界框预测\n",
    "    anchors, cls_preds, bbox_preds = net(X.to(device))\n",
    "    # 对类别预测进行softmax操作，得到类别概率，然后调整各维度的顺序\n",
    "    cls_probs = F.softmax(cls_preds,dim=2).permute(0,2,1) # softmax使得变成概率\n",
    "    # 调用多框检测函数，得到预测结果\n",
    "    output = d2l.multibox_detection(cls_probs, bbox_preds, anchors) # 里面调用了NMS   \n",
    "    # 获取置信度不为-1的预测结果的索引\n",
    "    idx = [i for i, row in enumerate(output[0]) if row[0] != -1]\n",
    "    # 返回置信度最大的预测结果\n",
    "    return output[0, idx] # 只要置信度最大的框\n",
    "\n",
    "# 对图片进行预测\n",
    "output = predict(X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
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      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
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   "source": [
    "# 筛选所有置信度不低于0.9的边界框，做为最终输出\n",
    "# 定义显示边界框的函数\n",
    "def display(img, output, threshold):\n",
    "    # 设置图像大小\n",
    "    d2l.set_figsize((5,5))\n",
    "    # 展示图像\n",
    "    fig = d2l.plt.imshow(img)\n",
    "    # 遍历预测结果\n",
    "    for row in output:\n",
    "        # 获取置信度\n",
    "        score = float(row[1])\n",
    "        # 如果置信度低于阈值，则忽略该预测结果\n",
    "        if score < threshold:\n",
    "            continue\n",
    "        # 获取图像的高度和宽度\n",
    "        h, w = img.shape[0:2]\n",
    "        # 获取预测的边界框，并将其转换为实际像素坐标\n",
    "        bbox = [row[2:6] * torch.tensor((w, h, w, h), device=row.device)]\n",
    "        # 显示边界框\n",
    "        d2l.show_bboxes(fig.axes,bbox,'%.2f' % score,'w')\n",
    "\n",
    "# 显示置信度不低于0.9的边界框\n",
    "display(img,output.cpu(),threshold=0.9)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
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    "# 定义平滑L1损失函数\n",
    "def smooth_11(data, scalar):\n",
    "    out = []\n",
    "    # 遍历输入数据\n",
    "    for i in data:\n",
    "        # 对于绝对值小于1/scalar^2的数据，采用平方损失\n",
    "        if abs(i) < 1 / (scalar**2):\n",
    "            out.append(((scalar * i)**2) / 2)\n",
    "        # 对于绝对值大于1/scalar^2的数据，采用绝对值损失\n",
    "        else:\n",
    "            out.append(abs(i) - 0.5 / (scalar**2))\n",
    "    # 返回平滑L1损失\n",
    "    return torch.tensor(out)\n",
    "\n",
    "# 定义不同的sigma值\n",
    "sigmas = [10, 1, 0.5]\n",
    "# 定义不同的线型\n",
    "lines = ['-','--','-.']\n",
    "# 定义x值范围\n",
    "x = torch.arange(-2,2,0.1)\n",
    "# 设置图像大小\n",
    "d2l.set_figsize()\n",
    "\n",
    "# 遍历不同的sigma值\n",
    "for l, s in zip(lines,sigmas):\n",
    "    # 计算平滑L1损失\n",
    "    y = smooth_11(x,scalar=s)\n",
    "    # 绘制损失函数曲线\n",
    "    d2l.plt.plot(x,y,l,label='sigma=%.1f' % s)\n",
    "\n",
    "# 显示图例\n",
    "d2l.plt.legend()"
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  },
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   "execution_count": 25,
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   "source": [
    "# 定义焦点损失函数\n",
    "def focal_loss(gamma, x):\n",
    "    # 根据公式计算焦点损失\n",
    "    return -(1 - x)**gamma * torch.log(x)\n",
    "\n",
    "# 定义x值范围\n",
    "x = torch.arange(0.01, 1, 0.01)\n",
    "# 遍历不同的gamma值\n",
    "for l, gamma in zip(lines, [0, 1, 5]):\n",
    "    # 计算焦点损失\n",
    "    y = d2l.plt.plot(x, focal_loss(gamma, x), l, label='gamma=%.1f' % gamma)   \n",
    "\n",
    "# 显示图例\n",
    "d2l.plt.legend()"
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