Face_Matching.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyNNak2QMeWmk/HP1Os3tk2K",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU",
    "gpuClass": "standard"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/tusharbansal22/Andhadhun-app/blob/master/Face_Matching.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip3 install face_recognition\n",
        "import face_recognition\n"
      ],
      "metadata": {
        "id": "0sf4enowB-eW"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "known_image = face_recognition.load_image_file('image1.jpg')\n",
        "unknown_image = face_recognition.load_image_file('image2.jpeg')\n",
        "\n",
        "known_encoding = face_recognition.face_encodings(known_image)[0]\n",
        "unknown_encoding = face_recognition.face_encodings(unknown_image)[0]\n",
        "\n",
        "results = face_recognition.compare_faces([known_encoding], unknown_encoding)"
      ],
      "metadata": {
        "id": "Xqtnq6xwFNTW"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(results)"
      ],
      "metadata": {
        "id": "4lmnnutRCW0V"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}