InferenceSearch.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "InferenceSearch.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyNASEsqZXKV4DHdSDnjtFCQ",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Agrover112/SiameseNet-Search/blob/main/InferenceSearch.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Q1pa-j80c1Sc",
        "outputId": "59174f8b-3f61-4535-e781-fb65741fc72e"
      },
      "source": [
        "\n",
        "import tensorflow as tf\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "import random\n",
        "\n",
        "\n",
        "\n",
        "print('TensorFlow version:', tf.__version__)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "TensorFlow version: 2.3.0\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4ILFe_KNdamh",
        "outputId": "93055284-7166-414f-8895-a42fcf67caff"
      },
      "source": [
        "(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()\n",
        "print(\"X_train:\",x_train.shape,\"Y_train:\",y_train.shape,\"X_test:\",x_test.shape,\"Y_test:\",y_test.shape)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "X_train: (60000, 28, 28) Y_train: (60000,) X_test: (10000, 28, 28) Y_test: (10000,)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "uiopCCJhdjbp",
        "outputId": "8b23a027-a0a4-40fb-f69d-134f6079233e"
      },
      "source": [
        "x_train = np.reshape(x_train, (x_train.shape[0], 784))/255.\n",
        "x_test = np.reshape(x_test, (x_test.shape[0], 784))/255.\n",
        "print(x_train.shape,x_test.shape)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(60000, 784) (10000, 784)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ja2c0zzidlVA"
      },
      "source": [
        "from tensorflow import keras\n",
        "from tensorflow.keras import layers"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HB6HRbW5dqEp",
        "outputId": "44ff3684-5eba-41a0-dd9c-34187ec8fad8"
      },
      "source": [
        "new_model = tf.keras.models.load_model('/content/embedding_model.h5')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:No training configuration found in the save file, so the model was *not* compiled. Compile it manually.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wuKmicO3hFOp"
      },
      "source": [
        "embeddings=new_model.predict(x_train)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "F8tbITdLeGop",
        "outputId": "eb4d4e2b-5e3c-46da-b789-564883b2b791"
      },
      "source": [
        "!pip install annoy"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: annoy in /usr/local/lib/python3.6/dist-packages (1.17.0)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "16vIoXP8eqE5"
      },
      "source": [
        "import annoy\n",
        "class AnnoyIndex():\n",
        "    def __init__(self, vectors, labels):\n",
        "        self.dimension = vectors.shape[1]\n",
        "        self.vectors = vectors.astype('float32')\n",
        "        self.labels = labels    \n",
        "   \n",
        "    def build(self, number_of_trees=128):\n",
        "        self.index = annoy.AnnoyIndex(self.dimension,metric='euclidean')\n",
        "        for i, vec in enumerate(self.vectors):\n",
        "            self.index.add_item(i, vec.tolist())\n",
        "        self.index.build(number_of_trees)\n",
        "        return self.index\n",
        "        \n",
        "    def query(self, vector, k=10):\n",
        "        dist = self.index.get_nns_by_vector(\n",
        "              vector.tolist(), \n",
        "              k,\n",
        "              include_distances=True) \n",
        "        return dist                                         \n",
        "        #return [self.labels[i] for i in indices]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YHgNHgD4geVw",
        "outputId": "fc6eda88-a792-419e-cf26-778736f139c6"
      },
      "source": [
        "%%time\n",
        "index = AnnoyIndex(embeddings,y_train)\n",
        "clsindex=index.build()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "CPU times: user 9.51 s, sys: 25.8 ms, total: 9.54 s\n",
            "Wall time: 5.01 s\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yBIlfIRXw1R4",
        "outputId": "a636ba3b-30ab-475e-c2ce-ace6863fa5e1"
      },
      "source": [
        "%%time\n",
        "clsindex.save('mnist.ann')\n",
        "clsindex.load('mnist.ann')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "CPU times: user 0 ns, sys: 78 ms, total: 78 ms\n",
            "Wall time: 78 ms\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ORsljbyZjxxO",
        "outputId": "b38257c6-66bd-4773-88ae-9d153e101f6e"
      },
      "source": [
        "y_train[0,]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "5"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 49
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XCxGosQWijIP"
      },
      "source": [
        "\n",
        "\n",
        "v=index.query(embeddings[0,])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Gsv9arJgrphA",
        "outputId": "228af851-cb02-42d3-bc5e-1c9cfb7d4913"
      },
      "source": [
        "index.labels[0]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "5"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 64
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-7S48yqQi3t4",
        "outputId": "39f39a2a-4912-4aac-c70d-c19564ae50f1"
      },
      "source": [
        "v[1]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[0.0,\n",
              " 0.6113713979721069,\n",
              " 0.7337702512741089,\n",
              " 0.739129364490509,\n",
              " 0.7395821213722229,\n",
              " 0.7434507608413696,\n",
              " 0.7733906507492065,\n",
              " 0.7802317142486572,\n",
              " 0.7946605682373047,\n",
              " 0.8195652961730957]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 65
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "mkguEmQGmjb5",
        "outputId": "2f829f24-fd80-46b3-f5b0-072f35e6803b"
      },
      "source": [
        "for i in range(10):\n",
        "    print(\"Similarity score: \"+str(v[1][i]))\n",
        "\n",
        "    plt.figure(figsize=(10, 10))\n",
        "    plt.imshow(np.reshape(x_train[v[0][i]], (28,28) ))\n",
        "    plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Similarity score: 0.0\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Similarity score: 0.6113713979721069\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Similarity score: 0.7337702512741089\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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mxGHfmDeLNlwJAgBaEkEAQEsiCABoSQQBAC0dNIKq6syq+nxVfauqvllVb19sP6Wqrq2qby8+nrz85QIAzHEoV4IeTXLJGOPsJL+Q5M1VdXaSdyf57BjjrCSfXXwOAHBUOGgEjTH2jDG+trj9UJJbkpyR5FVJrlx82ZVJXr2sRQIAzPZTPSeoqp6T5IVJvpLk9DHGnsVddyc5ferKAACW6JAjqKpOSvKJJO8YY/xg//vGGCPJ477LWlVdXFU3VNUNj2TuG20BAByuQ4qgqtqefQH0kTHGJxeb76mqHYv7dyS59/G+d4xx+Rhj5xhj5/acMGPNAABH7FBeHVZJPpzkljHG+/e76+okFy1uX5Tk0/OXBwCwHIfyu8NekuT1SW6qqhsX296T5L1JPl5Vb0xyR5LXLWeJAADzHTSCxhhfSlIHuPv8ucsBAFgN7xgNALQkggCAlkQQANCSCAIAWhJBAEBLh/ISeTigjWedMW3W9a9937RZTz/u+GmzkuQNT/vetFmb2Zw2K0nyz6+dO2+LOm7iz2zTj8FEux95dOq87TXv73rRpe+aNitJTr3/nmmz9k6bRCeuBAEALYkgAKAlEQQAtCSCAICWRBAA0JIIAgBaEkEAQEsiCABoSQQBAC2JIACgJREEALQkggCAlkQQANCSCAIAWhJBAEBLIggAaEkEAQAtiSAAoKWNdS+Ao9vmA38+bdald58/bdYHnvnFabNglS767XdOnXfa/3pw2qyTv379tFlJsnfqNPjpuRIEALQkggCAlkQQANCSCAIAWhJBAEBLIggAaEkEAQAtiSAAoCURBAC0JIIAgJZEEADQkggCAFoSQQBASyIIAGhJBAEALYkgAKAlEQQAtCSCAICWRBAA0NLGuhfA0W3zhz+cNuv2X3/utFkvfvnbps2abeNHc+c9+f5Hp816/WX/ddqsJPn3t7582qyNP/wr02ad+vX/O23WbM/YfdvUeXvvu3/qPDiWuBIEALQkggCAlkQQANCSCAIAWhJBAEBLIggAaEkEAQAtiSAAoCURBAC0JIIAgJZEEADQkggCAFoSQQBASyIIAGhJBAEALYkgAKAlEQQAtCSCAICWaoyxsp09rU4ZL6rzV7Y/AIDrxlW7xhg7H7vdlSAAoCURBAC0JIIAgJZEEADQkggCAFoSQQBASyIIAGhJBAEALYkgAKAlEQQAtCSCAICWRBAA0JIIAgBaEkEAQEsiCABoSQQBAC2JIACgJREEALQkggCAlkQQANCSCAIAWhJBAEBLIggAaEkEAQAtHTSCqurMqvp8VX2rqr5ZVW9fbL+0qu6qqhsXf165/OUCAMyxcQhf82iSS8YYX6uqpybZVVXXLu77wBjjsuUtDwBgOQ4aQWOMPUn2LG4/VFW3JDlj2QsDAFimn+o5QVX1nCQvTPKVxaa3VNU3quqKqjp58toAAJbmkCOoqk5K8okk7xhj/CDJB5M8N8k52Xel6H0H+L6Lq+qGqrrhkTw8YckAAEfukCKoqrZnXwB9ZIzxySQZY9wzxtg7xthM8qEk5z7e944xLh9j7Bxj7NyeE2atGwDgiBzKq8MqyYeT3DLGeP9+23fs92WvSXLz/OUBACzHobw67CVJXp/kpqq6cbHtPUkurKpzkowktyd501JWCACwBIfy6rAvJanHueua+csBAFgN7xgNALQkggCAlkQQANCSCAIAWhJBAEBLIggAaEkEAQAtiSAAoCURBAC0JIIAgJZEEADQkggCAFoSQQBASyIIAGhJBAEALYkgAKAlEQQAtCSCAICWRBAA0JIIAgBaEkEAQEsiCABoSQQBAC2JIACgJREEALQkggCAlkQQANCSCAIAWhJBAEBLIggAaEkEAQAtiSAAoCURBAC0JIIAgJZEEADQkggCAFoSQQBASyIIAGhJBAEALYkgAKAlEQQAtCSCAICWRBAA0JIIAgBaqjHG6nZW9WdJ7jiELz01yX1LXg5PzDFYP8dg/RyD9XMM1u9YOAY/M8Y47bEbVxpBh6qqbhhj7Fz3OjpzDNbPMVg/x2D9HIP1O5aPgYfDAICWRBAA0NJWjaDL170AHIMtwDFYP8dg/RyD9Ttmj8GWfE4QAMCybdUrQQAAS7WlIqiqLqiqW6tqd1W9e93r6aiqbq+qm6rqxqq6Yd3r6aKqrqiqe6vq5v22nVJV11bVtxcfT17nGo91BzgGl1bVXYvz4caqeuU613gsq6ozq+rzVfWtqvpmVb19sd15sCJPcAyO2fNgyzwcVlXbktyW5JeS3Jnkq0kuHGN8a60La6aqbk+yc4xxtL8nxFGlqn4xyV8k+b0xxgsW2/51kgfGGO9d/FBw8hjjN9e5zmPZAY7BpUn+Yoxx2TrX1kFV7UiyY4zxtap6apJdSV6d5J/GebAST3AMXpdj9DzYSleCzk2ye4zx3THGj5P8QZJXrXlNsBJjjC8keeAxm1+V5MrF7Suz7x8jluQAx4AVGWPsGWN8bXH7oSS3JDkjzoOVeYJjcMzaShF0RpLv7ff5nTnG/+NvUSPJZ6pqV1VdvO7FNHf6GGPP4vbdSU5f52Iae0tVfWPxcJmHYlagqp6T5IVJvhLnwVo85hgkx+h5sJUiiK3hvDHG307yiiRvXjxEwJqNfY9bb43Hrnv5YJLnJjknyZ4k71vvco59VXVSkk8keccY4wf73+c8WI3HOQbH7HmwlSLoriRn7vf5sxbbWKExxl2Lj/cm+VT2PUzJetyzeIz+J4/V37vm9bQzxrhnjLF3jLGZ5ENxPixVVW3Pvv/5fmSM8cnFZufBCj3eMTiWz4OtFEFfTXJWVf1sVR2f5NeSXL3mNbVSVScungyXqjoxyS8nufmJv4slujrJRYvbFyX59BrX0tJP/ue78Jo4H5amqirJh5PcMsZ4/353OQ9W5EDH4Fg+D7bMq8OSZPGyu3+bZFuSK8YYv73mJbVSVX89+67+JMlGko86BqtRVR9L8rLs+23N9yT5rST/JcnHkzw7yR1JXjfG8MTdJTnAMXhZ9j0EMJLcnuRN+z0/hYmq6rwkX0xyU5LNxeb3ZN9zUpwHK/AEx+DCHKPnwZaKIACAVdlKD4cBAKyMCAIAWhJBAEBLIggAaEkEAQAtiSAAoCURBAC0JIIAgJb+H3eVCSap41iOAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Similarity score: 0.739129364490509\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Similarity score: 0.7395821213722229\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Similarity score: 0.7434507608413696\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Similarity score: 0.7733906507492065\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Similarity score: 0.7802317142486572\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Similarity score: 0.7946605682373047\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Similarity score: 0.8195652961730957\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uQWdXEcpn8T8"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}