Created using Colab

Author: masoudshahrian

Crop_Image_from_Dataset.ipynb

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+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "provenance": [],
+      "mount_file_id": "1qWx9A_Hd8Zfr4YUc2LLcQyNnEo3pk7Cv",
+      "authorship_tag": "ABX9TyPcv4NcEDksXiMZKsayKCcZ",
+      "include_colab_link": true
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "view-in-github",
+        "colab_type": "text"
+      },
+      "source": [
+        "<a href=\"https://colab.research.google.com/github/masoudshahrian/DeepLearning-Code/blob/main/Crop_Image_from_Dataset.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import cv2\n",
+        "import dlib\n",
+        "import os"
+      ],
+      "metadata": {
+        "id": "ZW3zk97M7cd3"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "VqXFIcD-bqdQ",
+        "outputId": "19a77c0a-1091-43ee-9e6a-a24f4985484f"
+      },
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "تمامی تصاویر با موفقیت کراپ و ذخیره شدند.\n"
+          ]
+        }
+      ],
+      "source": [
+        "\n",
+        "\n",
+        "# مسیر به دایرکتوری تصاویر CelebA\n",
+        "input_dir = '/content/drive/MyDrive/kaggle-celebA/img_align_celeba/img_align_celeba/'  # مسیر دایرکتوری تصاویر\n",
+        "output_dir = '/content/drive/MyDrive/Image/CelebA_Image_Croped/'  # مسیر دایرکتوری خروجی\n",
+        "\n",
+        "# ایجاد دایرکتوری خروجی در صورت عدم وجود\n",
+        "os.makedirs(output_dir, exist_ok=True)\n",
+        "\n",
+        "# بارگذاری مدل شناسایی صورت\n",
+        "detector = dlib.get_frontal_face_detector()\n",
+        "\n",
+        "# لیست کردن تصاویر در دایرکتوری ورودی\n",
+        "for filename in os.listdir(input_dir):\n",
+        "    if filename.endswith('.jpg') or filename.endswith('.png'):\n",
+        "        # بارگذاری تصویر\n",
+        "        image_path = os.path.join(input_dir, filename)\n",
+        "        image = cv2.imread(image_path)\n",
+        "\n",
+        "        # تبدیل تصویر به خاکستری\n",
+        "        gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)\n",
+        "\n",
+        "        # شناسایی صورت‌ها\n",
+        "        faces = detector(gray)\n",
+        "\n",
+        "        # پردازش هر صورت شناسایی شده\n",
+        "        for face in faces:\n",
+        "            # استخراج مختصات صورت\n",
+        "            x, y, w, h = (face.left(), face.top(), face.width(), face.height())\n",
+        "\n",
+        "            # محاسبه مرکز صورت\n",
+        "            center_x = x + w // 2\n",
+        "            center_y = y + h // 2\n",
+        "\n",
+        "            # محاسبه مختصات جدید برای کراپ\n",
+        "            crop_x1 = max(center_x - 64, 0)\n",
+        "            crop_x2 = min(center_x + 64, image.shape[1])\n",
+        "            crop_y1 = max(center_y - 64, 0)\n",
+        "            crop_y2 = min(center_y + 64, image.shape[0])\n",
+        "\n",
+        "            # کراپ کردن تصویر\n",
+        "            cropped_image = image[crop_y1:crop_y2, crop_x1:crop_x2]\n",
+        "\n",
+        "            # تغییر اندازه به 128x128\n",
+        "            resized_image = cv2.resize(cropped_image, (128, 128))\n",
+        "\n",
+        "            # ذخیره تصویر کراپ شده\n",
+        "            output_path = os.path.join(output_dir, filename)\n",
+        "            cv2.imwrite(output_path, resized_image)\n",
+        "\n",
+        "print(\"تمامی تصاویر با موفقیت کراپ و ذخیره شدند.\")\n",
+        "\n",
+        "\n",
+        "\n",
+        "\n"
+      ]
+    }
+  ]
+}