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diff --git "a/1 \351\201\227\345\244\261\345\256\240\347\211\251\347\232\204\346\231\272\350\203\275\345\257\273\346\211\276/\345\256\240\347\211\251\347\213\227\347\232\204\345\233\236\345\256\266\344\271\213\346\227\205-simba/README.md" "b/1 \351\201\227\345\244\261\345\256\240\347\211\251\347\232\204\346\231\272\350\203\275\345\257\273\346\211\276/\345\256\240\347\211\251\347\213\227\347\232\204\345\233\236\345\256\266\344\271\213\346\227\205-simba/README.md"
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+++ "b/1 \351\201\227\345\244\261\345\256\240\347\211\251\347\232\204\346\231\272\350\203\275\345\257\273\346\211\276/\345\256\240\347\211\251\347\213\227\347\232\204\345\233\236\345\256\266\344\271\213\346\227\205-simba/README.md"	
@@ -0,0 +1,30 @@
+# 赛题一：遗失宠物的智能寻找
+
+作品介绍：
+    伴随着人们物质生活水平的提高，越来越多的家庭选择饲养小动物，它们不仅是家庭的宠物，很多人也将他们视作家庭成员之一，给予百般宠爱和呵护。然而即便如此，意外还是难免发生——宠物的意外走失给很多宠物家庭带来了困扰，满大街发传单、贴广告不仅浪费时间，成效也甚微。
+
+作品截图：
+
+注：下图中参数Dissimilarity代表不相似程度，即：此参数数值越低说明两张图片中狗是同一只的可能性更大。
+![同一只狗对比图：](./1.png)
+
+图一：同一只狗对比图
+
+![不同狗的对比图：](./2.png)
+
+图二：不同狗的对比图
+
+![综合对比图：](./3.png)
+
+图三：综合情况对比图
+
+
+安装、编译指南：
+    1.使用Siamese-Net-train.ipynb生成net_params.pkl参数文件； 
+    2.运行Siamese-Net-test.ipynb中的代码，在其输出中查看结果。
+    
+团队介绍：
+    团队成员：刘增辉 
+    联系方式：15166663386
+
+使用到的 AWS 技术：训练过程中使用了Amazon SageMaker服务器，其强大的算力为训练参数节省了大量时间。
diff --git "a/1 \351\201\227\345\244\261\345\256\240\347\211\251\347\232\204\346\231\272\350\203\275\345\257\273\346\211\276/\345\256\240\347\211\251\347\213\227\347\232\204\345\233\236\345\256\266\344\271\213\346\227\205-simba/Siamese-Net-test.ipynb" "b/1 \351\201\227\345\244\261\345\256\240\347\211\251\347\232\204\346\231\272\350\203\275\345\257\273\346\211\276/\345\256\240\347\211\251\347\213\227\347\232\204\345\233\236\345\256\266\344\271\213\346\227\205-simba/Siamese-Net-test.ipynb"
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+++ "b/1 \351\201\227\345\244\261\345\256\240\347\211\251\347\232\204\346\231\272\350\203\275\345\257\273\346\211\276/\345\256\240\347\211\251\347\213\227\347\232\204\345\233\236\345\256\266\344\271\213\346\227\205-simba/Siamese-Net-test.ipynb"	
@@ -0,0 +1,363 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "----------------\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "done!\n"
+     ]
+    }
+   ],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "import torchvision\n",
+    "import torchvision.datasets as dset\n",
+    "import torchvision.transforms as transforms\n",
+    "import matplotlib.pyplot as plt\n",
+    "import torchvision.utils\n",
+    "import numpy as np\n",
+    "import random\n",
+    "from PIL import Image\n",
+    "import torch\n",
+    "from torch.autograd import Variable\n",
+    "from torch.utils.data import DataLoader,Dataset\n",
+    "import torch.utils.data as Data\n",
+    "import PIL.ImageOps    \n",
+    "import torch.nn as nn\n",
+    "# from torch import optim\n",
+    "import torch.nn.functional as F\n",
+    "#plt.switch_backend('agg')\n",
+    "\n",
+    "def imshow(img,text=None,should_save=False):\n",
+    "    npimg = img.numpy()\n",
+    "    plt.axis(\"off\")\n",
+    "    if text:\n",
+    "        plt.text(75, 8, text, style='italic',fontweight='bold',\n",
+    "            bbox={'facecolor':'white', 'alpha':0.8, 'pad':10})\n",
+    "    plt.imshow(np.transpose(npimg, (1, 2, 0)))\n",
+    "    plt.show()    \n",
+    "\n",
+    "def show_plot(iteration,loss):\n",
+    "    plt.plot(iteration,loss)\n",
+    "    plt.show()\n",
+    "\n",
+    "\n",
+    "class Config():\n",
+    "    training_dir = \"./data/faces/training/\"\n",
+    "    testing_dir = \"./data/faces/testing/\"\n",
+    "    train_batch_size = 64\n",
+    "    train_number_epochs = 200\n",
+    "\n",
+    "class SiameseNetworkDataset(Dataset):\n",
+    "    \n",
+    "    def __init__(self,imageFolderDataset,transform=None,should_invert=True):\n",
+    "        self.imageFolderDataset = imageFolderDataset    \n",
+    "        self.transform = transform\n",
+    "        self.should_invert = should_invert\n",
+    "        \n",
+    "    def __getitem__(self,index):\n",
+    "        img0_tuple = random.choice(self.imageFolderDataset.imgs)\n",
+    "        #we need to make sure approx 50% of images are in the same class\n",
+    "        should_get_same_class = random.randint(0,1) \n",
+    "        if should_get_same_class:\n",
+    "            while True:\n",
+    "                #keep looping till the same class image is found\n",
+    "                img1_tuple = random.choice(self.imageFolderDataset.imgs) \n",
+    "                if img0_tuple[1]==img1_tuple[1]:\n",
+    "                    break\n",
+    "        else:\n",
+    "            while True:\n",
+    "                #keep looping till a different class image is found\n",
+    "                \n",
+    "                img1_tuple = random.choice(self.imageFolderDataset.imgs) \n",
+    "                if img0_tuple[1] !=img1_tuple[1]:\n",
+    "                    break\n",
+    "\n",
+    "        img0 = Image.open(img0_tuple[0])\n",
+    "        img1 = Image.open(img1_tuple[0])\n",
+    "        img0 = img0.convert(\"L\")\n",
+    "        img1 = img1.convert(\"L\")\n",
+    "        \n",
+    "        if self.should_invert:\n",
+    "            img0 = PIL.ImageOps.invert(img0)\n",
+    "            img1 = PIL.ImageOps.invert(img1)\n",
+    "\n",
+    "        if self.transform is not None:\n",
+    "            img0 = self.transform(img0)\n",
+    "            img1 = self.transform(img1)\n",
+    "        \n",
+    "        return img0, img1 , torch.from_numpy(np.array([int(img1_tuple[1]!=img0_tuple[1])],dtype=np.float32))\n",
+    "    \n",
+    "    def __len__(self):\n",
+    "        return len(self.imageFolderDataset.imgs)\n",
+    "class SiameseNetwork(nn.Module):\n",
+    "    def __init__(self):\n",
+    "        super(SiameseNetwork, self).__init__()\n",
+    "        self.cnn1 = nn.Sequential(\n",
+    "            nn.ReflectionPad2d(1),\n",
+    "            nn.Conv2d(1, 4, kernel_size=3),\n",
+    "            nn.ReLU(inplace=True),\n",
+    "            nn.BatchNorm2d(4),\n",
+    "            \n",
+    "            nn.ReflectionPad2d(1),\n",
+    "            nn.Conv2d(4, 8, kernel_size=3),\n",
+    "            nn.ReLU(inplace=True),\n",
+    "            nn.BatchNorm2d(8),\n",
+    "\n",
+    "\n",
+    "            nn.ReflectionPad2d(1),\n",
+    "            nn.Conv2d(8, 8, kernel_size=3),\n",
+    "            nn.ReLU(inplace=True),\n",
+    "            nn.BatchNorm2d(8),\n",
+    "\n",
+    "\n",
+    "        )\n",
+    "\n",
+    "        self.fc1 = nn.Sequential(\n",
+    "            nn.Linear(8*100*100, 500),\n",
+    "            nn.ReLU(inplace=True),\n",
+    "\n",
+    "            nn.Linear(500, 500),\n",
+    "            nn.ReLU(inplace=True),\n",
+    "\n",
+    "            nn.Linear(500, 5))\n",
+    "\n",
+    "    def forward_once(self, x):\n",
+    "        output = self.cnn1(x)\n",
+    "        output = output.view(output.size(0), -1)\n",
+    "        output = self.fc1(output)\n",
+    "        return output\n",
+    "\n",
+    "    def forward(self, input1, input2):\n",
+    "        output1 = self.forward_once(input1)\n",
+    "        output2 = self.forward_once(input2)\n",
+    "        return output1, output2\n",
+    "\n",
+    "class ContrastiveLoss(torch.nn.Module):\n",
+    "\n",
+    "    def __init__(self, margin=2.0):\n",
+    "        super(ContrastiveLoss, self).__init__()\n",
+    "        self.margin = margin\n",
+    "\n",
+    "    def forward(self, output1, output2, label):\n",
+    "        euclidean_distance = F.pairwise_distance(output1, output2)\n",
+    "        loss_contrastive = torch.mean((1-label) * torch.pow(euclidean_distance, 2) +\n",
+    "                                      (label) * torch.pow(torch.clamp(self.margin - euclidean_distance, min=0.0), 2))\n",
+    "\n",
+    "\n",
+    "        return loss_contrastive\n",
+    "\n",
+    "if __name__ == '__main__':        \n",
+    "\n",
+    "    net=SiameseNetwork()\n",
+    "    net.load_state_dict(torch.load('./net_params.pkl'))\n",
+    "    folder_dataset_test = dset.ImageFolder(root=Config.testing_dir)\n",
+    "    siamese_dataset = SiameseNetworkDataset(imageFolderDataset=folder_dataset_test,\n",
+    "                                            transform=transforms.Compose([transforms.Resize((100,100)),\n",
+    "                                                                          transforms.ToTensor()]),\n",
+    "                                            should_invert=False)\n",
+    "\n",
+    "    test_dataloader = DataLoader(siamese_dataset,num_workers=0,batch_size=1,shuffle=True)\n",
+    "    dataiter = iter(test_dataloader)\n",
+    "    #print(len(dataiter))#30张照片\n",
+    "    x0,tes,tes1 = next(dataiter)\n",
+    "    #print(x0)\n",
+    "    #print(tes)\n",
+    "    #print(tes1)\n",
+    "    \n",
+    "    print(\"----------------\")\n",
+    "    #print(len(x0))\n",
+    "    #print(len(tes))\n",
+    "    #print(len(tes1))\n",
+    "    \n",
+    "    for i in range(10):\n",
+    "        _,x1,label2 = next(dataiter)\n",
+    "        concatenated = torch.cat((x0,x1),0)\n",
+    "    \n",
+    "        output1,output2 = net(Variable(x0),Variable(x1))\n",
+    "        euclidean_distance = F.pairwise_distance(output1, output2)\n",
+    "        imshow(torchvision.utils.make_grid(concatenated),'Dissimilarity: {:.2f}'.format(euclidean_distance.item()))\n",
+    "    \n",
+    "    print(\"done!\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git "a/1 \351\201\227\345\244\261\345\256\240\347\211\251\347\232\204\346\231\272\350\203\275\345\257\273\346\211\276/\345\256\240\347\211\251\347\213\227\347\232\204\345\233\236\345\256\266\344\271\213\346\227\205-simba/Siamese-Net-train.ipynb" "b/1 \351\201\227\345\244\261\345\256\240\347\211\251\347\232\204\346\231\272\350\203\275\345\257\273\346\211\276/\345\256\240\347\211\251\347\213\227\347\232\204\345\233\236\345\256\266\344\271\213\346\227\205-simba/Siamese-Net-train.ipynb"
new file mode 100644
index 00000000..d0c8227b
--- /dev/null
+++ "b/1 \351\201\227\345\244\261\345\256\240\347\211\251\347\232\204\346\231\272\350\203\275\345\257\273\346\211\276/\345\256\240\347\211\251\347\213\227\347\232\204\345\233\236\345\256\266\344\271\213\346\227\205-simba/Siamese-Net-train.ipynb"	
@@ -0,0 +1,522 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[[0.]\n",
+      " [0.]\n",
+      " [1.]\n",
+      " [1.]\n",
+      " [1.]\n",
+      " [1.]\n",
+      " [0.]\n",
+      " [1.]]\n",
+      "Epoch number 0\n",
+      " Current loss 1.713860273361206\n",
+      "\n",
+      "Epoch number 1\n",
+      " Current loss 324.78607177734375\n",
+      "\n",
+      "Epoch number 2\n",
+      " Current loss 145.2863311767578\n",
+      "\n",
+      "Epoch number 3\n",
+      " Current loss 60.88298416137695\n",
+      "\n",
+      "Epoch number 4\n",
+      " Current loss 43.20184326171875\n",
+      "\n",
+      "Epoch number 5\n",
+      " Current loss 48.66731262207031\n",
+      "\n",
+      "Epoch number 6\n",
+      " Current loss 49.44739532470703\n",
+      "\n",
+      "Epoch number 7\n",
+      " Current loss 17.15616226196289\n",
+      "\n",
+      "Epoch number 8\n",
+      " Current loss 29.07176971435547\n",
+      "\n",
+      "Epoch number 9\n",
+      " Current loss 11.465566635131836\n",
+      "\n",
+      "Epoch number 10\n",
+      " Current loss 10.56815242767334\n",
+      "\n",
+      "Epoch number 11\n",
+      " Current loss 30.781404495239258\n",
+      "\n",
+      "Epoch number 12\n",
+      " Current loss 19.649234771728516\n",
+      "\n",
+      "Epoch number 13\n",
+      " Current loss 12.450602531433105\n",
+      "\n",
+      "Epoch number 14\n",
+      " Current loss 22.088220596313477\n",
+      "\n",
+      "Epoch number 15\n",
+      " Current loss 5.971309185028076\n",
+      "\n",
+      "Epoch number 16\n",
+      " Current loss 11.896441459655762\n",
+      "\n",
+      "Epoch number 17\n",
+      " Current loss 7.755023002624512\n",
+      "\n",
+      "Epoch number 18\n",
+      " Current loss 10.777156829833984\n",
+      "\n",
+      "Epoch number 19\n",
+      " Current loss 9.342622756958008\n",
+      "\n",
+      "Epoch number 20\n",
+      " Current loss 4.046860694885254\n",
+      "\n",
+      "Epoch number 21\n",
+      " Current loss 5.377322673797607\n",
+      "\n",
+      "Epoch number 22\n",
+      " Current loss 4.2471747398376465\n",
+      "\n",
+      "Epoch number 23\n",
+      " Current loss 5.604571342468262\n",
+      "\n",
+      "Epoch number 24\n",
+      " Current loss 4.227222919464111\n",
+      "\n",
+      "Epoch number 25\n",
+      " Current loss 4.730830669403076\n",
+      "\n",
+      "Epoch number 26\n",
+      " Current loss 3.9757137298583984\n",
+      "\n",
+      "Epoch number 27\n",
+      " Current loss 7.978604316711426\n",
+      "\n",
+      "Epoch number 28\n",
+      " Current loss 5.266254901885986\n",
+      "\n",
+      "Epoch number 29\n",
+      " Current loss 4.318082332611084\n",
+      "\n",
+      "Epoch number 30\n",
+      " Current loss 5.259028434753418\n",
+      "\n",
+      "Epoch number 31\n",
+      " Current loss 7.068166255950928\n",
+      "\n",
+      "Epoch number 32\n",
+      " Current loss 3.5887744426727295\n",
+      "\n",
+      "Epoch number 33\n",
+      " Current loss 6.970097064971924\n",
+      "\n",
+      "Epoch number 34\n",
+      " Current loss 4.224609851837158\n",
+      "\n",
+      "Epoch number 35\n",
+      " Current loss 2.7782235145568848\n",
+      "\n",
+      "Epoch number 36\n",
+      " Current loss 3.569906711578369\n",
+      "\n",
+      "Epoch number 37\n",
+      " Current loss 3.3036742210388184\n",
+      "\n",
+      "Epoch number 38\n",
+      " Current loss 2.306980848312378\n",
+      "\n",
+      "Epoch number 39\n",
+      " Current loss 5.208280086517334\n",
+      "\n",
+      "Epoch number 40\n",
+      " Current loss 1.7637968063354492\n",
+      "\n",
+      "Epoch number 41\n",
+      " Current loss 2.2269771099090576\n",
+      "\n",
+      "Epoch number 42\n",
+      " Current loss 2.8122124671936035\n",
+      "\n",
+      "Epoch number 43\n",
+      " Current loss 3.1900908946990967\n",
+      "\n",
+      "Epoch number 44\n",
+      " Current loss 2.7690773010253906\n",
+      "\n",
+      "Epoch number 45\n",
+      " Current loss 2.7735445499420166\n",
+      "\n",
+      "Epoch number 46\n",
+      " Current loss 2.5923378467559814\n",
+      "\n",
+      "Epoch number 47\n",
+      " Current loss 2.1160149574279785\n",
+      "\n",
+      "Epoch number 48\n",
+      " Current loss 1.8963524103164673\n",
+      "\n",
+      "Epoch number 49\n",
+      " Current loss 1.9323132038116455\n",
+      "\n",
+      "Epoch number 50\n",
+      " Current loss 1.6941367387771606\n",
+      "\n",
+      "Epoch number 51\n",
+      " Current loss 1.5185235738754272\n",
+      "\n",
+      "Epoch number 52\n",
+      " Current loss 1.3351315259933472\n",
+      "\n",
+      "Epoch number 53\n",
+      " Current loss 1.4935392141342163\n",
+      "\n",
+      "Epoch number 54\n",
+      " Current loss 1.696033000946045\n",
+      "\n",
+      "Epoch number 55\n",
+      " Current loss 1.4519634246826172\n",
+      "\n",
+      "Epoch number 56\n",
+      " Current loss 1.3522239923477173\n",
+      "\n",
+      "Epoch number 57\n",
+      " Current loss 2.163501262664795\n",
+      "\n",
+      "Epoch number 58\n",
+      " Current loss 1.4881004095077515\n",
+      "\n",
+      "Epoch number 59\n",
+      " Current loss 1.3160525560379028\n",
+      "\n",
+      "Epoch number 60\n",
+      " Current loss 1.492385745048523\n",
+      "\n",
+      "Epoch number 61\n",
+      " Current loss 1.5606610774993896\n",
+      "\n",
+      "Epoch number 62\n",
+      " Current loss 1.575583815574646\n",
+      "\n",
+      "Epoch number 63\n",
+      " Current loss 1.3285399675369263\n",
+      "\n",
+      "Epoch number 64\n",
+      " Current loss 1.8814976215362549\n",
+      "\n",
+      "Epoch number 65\n",
+      " Current loss 1.2787622213363647\n",
+      "\n",
+      "Epoch number 66\n",
+      " Current loss 1.693803071975708\n",
+      "\n",
+      "Epoch number 67\n",
+      " Current loss 1.4931622743606567\n",
+      "\n",
+      "Epoch number 68\n",
+      " Current loss 1.3682575225830078\n",
+      "\n",
+      "Epoch number 69\n",
+      " Current loss 1.8393974304199219\n",
+      "\n",
+      "Epoch number 70\n",
+      " Current loss 2.1517953872680664\n",
+      "\n",
+      "Epoch number 71\n",
+      " Current loss 1.3072800636291504\n",
+      "\n",
+      "Epoch number 72\n",
+      " Current loss 1.4640612602233887\n",
+      "\n",
+      "Epoch number 73\n",
+      " Current loss 1.2721275091171265\n",
+      "\n",
+      "Epoch number 74\n",
+      " Current loss 2.362051248550415\n",
+      "\n",
+      "Epoch number 75\n",
+      " Current loss 1.2024977207183838\n",
+      "\n",
+      "Epoch number 76\n",
+      " Current loss 2.136240243911743\n",
+      "\n",
+      "Epoch number 77\n",
+      " Current loss 1.2629942893981934\n",
+      "\n",
+      "Epoch number 78\n",
+      " Current loss 1.6333658695220947\n",
+      "\n",
+      "Epoch number 79\n",
+      " Current loss 1.4358388185501099\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "import torchvision\n",
+    "import torchvision.datasets as dset\n",
+    "import torchvision.transforms as transforms\n",
+    "import matplotlib.pyplot as plt\n",
+    "import torchvision.utils\n",
+    "import numpy as np\n",
+    "import random\n",
+    "from PIL import Image\n",
+    "import torch\n",
+    "from torch.autograd import Variable\n",
+    "from torch.utils.data import DataLoader,Dataset\n",
+    "import torch.utils.data as Data\n",
+    "import PIL.ImageOps    \n",
+    "import torch.nn as nn\n",
+    "# from torch import optim\n",
+    "import torch.nn.functional as F\n",
+    "#plt.switch_backend('agg')\n",
+    "\n",
+    "def imshow(img,text=None,should_save=False):\n",
+    "    npimg = img.numpy()\n",
+    "    plt.axis(\"off\")\n",
+    "    if text:\n",
+    "        plt.text(75, 8, text, style='italic',fontweight='bold',\n",
+    "            bbox={'facecolor':'white', 'alpha':0.8, 'pad':10})\n",
+    "    plt.imshow(np.transpose(npimg, (1, 2, 0)))\n",
+    "    plt.show()    \n",
+    "\n",
+    "def show_plot(iteration,loss):\n",
+    "    plt.plot(iteration,loss)\n",
+    "    plt.show()\n",
+    "\n",
+    "\n",
+    "class Config():\n",
+    "    training_dir = \"./data/faces/training/\"\n",
+    "    testing_dir = \"./data/faces/testing/\"\n",
+    "    train_batch_size = 64\n",
+    "    train_number_epochs = 80\n",
+    "\n",
+    "class SiameseNetworkDataset(Dataset):\n",
+    "    \n",
+    "    def __init__(self,imageFolderDataset,transform=None,should_invert=True):\n",
+    "        self.imageFolderDataset = imageFolderDataset    \n",
+    "        self.transform = transform\n",
+    "        self.should_invert = should_invert\n",
+    "        \n",
+    "    def __getitem__(self,index):\n",
+    "        img0_tuple = random.choice(self.imageFolderDataset.imgs)\n",
+    "        #we need to make sure approx 50% of images are in the same class\n",
+    "        should_get_same_class = random.randint(0,1) \n",
+    "        if should_get_same_class:\n",
+    "            while True:\n",
+    "                #keep looping till the same class image is found\n",
+    "                img1_tuple = random.choice(self.imageFolderDataset.imgs) \n",
+    "                if img0_tuple[1]==img1_tuple[1]:\n",
+    "                    break\n",
+    "        else:\n",
+    "            while True:\n",
+    "                #keep looping till a different class image is found\n",
+    "                \n",
+    "                img1_tuple = random.choice(self.imageFolderDataset.imgs) \n",
+    "                if img0_tuple[1] !=img1_tuple[1]:\n",
+    "                    break\n",
+    "\n",
+    "        img0 = Image.open(img0_tuple[0])\n",
+    "        img1 = Image.open(img1_tuple[0])\n",
+    "        img0 = img0.convert(\"L\")\n",
+    "        img1 = img1.convert(\"L\")\n",
+    "        \n",
+    "        if self.should_invert:\n",
+    "            img0 = PIL.ImageOps.invert(img0)\n",
+    "            img1 = PIL.ImageOps.invert(img1)\n",
+    "\n",
+    "        if self.transform is not None:\n",
+    "            img0 = self.transform(img0)\n",
+    "            img1 = self.transform(img1)\n",
+    "        \n",
+    "        return img0, img1 , torch.from_numpy(np.array([int(img1_tuple[1]!=img0_tuple[1])],dtype=np.float32))\n",
+    "    \n",
+    "    def __len__(self):\n",
+    "        return len(self.imageFolderDataset.imgs)\n",
+    "class SiameseNetwork(nn.Module):\n",
+    "    def __init__(self):\n",
+    "        super(SiameseNetwork, self).__init__()\n",
+    "        self.cnn1 = nn.Sequential(\n",
+    "            nn.ReflectionPad2d(1),\n",
+    "            nn.Conv2d(1, 4, kernel_size=3),\n",
+    "            nn.ReLU(inplace=True),\n",
+    "            nn.BatchNorm2d(4),\n",
+    "            \n",
+    "            nn.ReflectionPad2d(1),\n",
+    "            nn.Conv2d(4, 8, kernel_size=3),\n",
+    "            nn.ReLU(inplace=True),\n",
+    "            nn.BatchNorm2d(8),\n",
+    "\n",
+    "\n",
+    "            nn.ReflectionPad2d(1),\n",
+    "            nn.Conv2d(8, 8, kernel_size=3),\n",
+    "            nn.ReLU(inplace=True),\n",
+    "            nn.BatchNorm2d(8),\n",
+    "\n",
+    "\n",
+    "        )\n",
+    "\n",
+    "        self.fc1 = nn.Sequential(\n",
+    "            nn.Linear(8*100*100, 500),\n",
+    "            nn.ReLU(inplace=True),\n",
+    "\n",
+    "            nn.Linear(500, 500),\n",
+    "            nn.ReLU(inplace=True),\n",
+    "\n",
+    "            nn.Linear(500, 5))\n",
+    "\n",
+    "    def forward_once(self, x):\n",
+    "        output = self.cnn1(x)\n",
+    "        output = output.view(output.size(0), -1)\n",
+    "        output = self.fc1(output)\n",
+    "        return output\n",
+    "\n",
+    "    def forward(self, input1, input2):\n",
+    "        output1 = self.forward_once(input1)\n",
+    "        output2 = self.forward_once(input2)\n",
+    "        return output1, output2\n",
+    "\n",
+    "class ContrastiveLoss(torch.nn.Module):\n",
+    "\n",
+    "    def __init__(self, margin=2.0):\n",
+    "        super(ContrastiveLoss, self).__init__()\n",
+    "        self.margin = margin\n",
+    "\n",
+    "    def forward(self, output1, output2, label):\n",
+    "        euclidean_distance = F.pairwise_distance(output1, output2)\n",
+    "        loss_contrastive = torch.mean((1-label) * torch.pow(euclidean_distance, 2) +\n",
+    "                                      (label) * torch.pow(torch.clamp(self.margin - euclidean_distance, min=0.0), 2))\n",
+    "\n",
+    "\n",
+    "        return loss_contrastive\n",
+    "\n",
+    "if __name__ == '__main__':        \n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "    folder_dataset = dset.ImageFolder(root=Config.training_dir)\n",
+    "    siamese_dataset = SiameseNetworkDataset(imageFolderDataset=folder_dataset,\n",
+    "                                        transform=transforms.Compose([transforms.Resize((100,100)),\n",
+    "                                                                      transforms.ToTensor()\n",
+    "                                                                      ])\n",
+    "                                       ,should_invert=False)\n",
+    "    train_dataloader = DataLoader(siamese_dataset,\n",
+    "                        shuffle=True,\n",
+    "                        num_workers=0,\n",
+    "                        batch_size=Config.train_batch_size)\n",
+    "    vis_dataloader = DataLoader(siamese_dataset,\n",
+    "                        shuffle=True,\n",
+    "                        num_workers=0,\n",
+    "                        batch_size=8)\n",
+    "    dataiter = iter(vis_dataloader)\n",
+    "\n",
+    "\n",
+    "    example_batch = next(dataiter)\n",
+    "    concatenated = torch.cat((example_batch[0],example_batch[1]),0)\n",
+    "    imshow(torchvision.utils.make_grid(concatenated))\n",
+    "    print(example_batch[2].numpy())\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "    net = SiameseNetwork()\n",
+    "    criterion = ContrastiveLoss()\n",
+    "    optimizer = torch.optim.Adam(net.parameters(),0.001,betas=(0.9, 0.99))\n",
+    "\n",
+    "    counter = []\n",
+    "    loss_history = [] \n",
+    "    iteration_number= 0\n",
+    "\n",
+    "    for epoch in range(0,Config.train_number_epochs):\n",
+    "        for i, data in enumerate(train_dataloader,0):\n",
+    "            img0, img1 , label = data\n",
+    "            #img0, img1 , label = img0.cpu, img1.cpu, label.cpu\n",
+    "            optimizer.zero_grad()\n",
+    "            output1,output2 = net(img0,img1)\n",
+    "            loss_contrastive = criterion(output1,output2,label)\n",
+    "            loss_contrastive.backward()\n",
+    "            optimizer.step()\n",
+    "            if i %10 == 0 :\n",
+    "                print(\"Epoch number {}\\n Current loss {}\\n\".format(epoch,loss_contrastive.item()))\n",
+    "                iteration_number +=10\n",
+    "                counter.append(iteration_number)\n",
+    "                loss_history.append(loss_contrastive.item())\n",
+    "    show_plot(counter,loss_history)\n",
+    "    torch.save(net.state_dict(),'net_params.pkl')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
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