1200_images.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total 1200 images are created.\n"
     ]
    }
   ],
   "source": [
    "# 2012\n",
    "from PIL import Image\n",
    "import os\n",
    "\n",
    "# 提高像素限制\n",
    "Image.MAX_IMAGE_PIXELS = None\n",
    "\n",
    "# 设置源图片的路径\n",
    "src_path = \"/Users/huanjingheng/Downloads/STATS-402/Building_change_detection_dataset/Building change detection dataset_add/1. The two-period image data/2012/whole_image/train/image/2012_train.tif\"\n",
    "\n",
    "# 设置存储分割后的图片的路径\n",
    "dst_path = \"/Users/huanjingheng/Downloads/STATS-402/new_splitted_images/2012\"\n",
    "\n",
    "# 读取图片\n",
    "src_img = Image.open(src_path)\n",
    "\n",
    "# 图片的大小\n",
    "src_width, src_height = src_img.size\n",
    "\n",
    "# 切割的大小\n",
    "dst_size = (500, 500)\n",
    "\n",
    "# 计数器\n",
    "count = 0\n",
    "\n",
    "for i in range(0, src_width - dst_size[0] + 1, dst_size[0]):\n",
    "    for j in range(0, src_height - dst_size[1] + 1, dst_size[1]):\n",
    "        box = (i, j, i+dst_size[0], j+dst_size[1])\n",
    "        dst_img = src_img.crop(box)\n",
    "        \n",
    "        # 创建文件名\n",
    "        filename = f\"2012_{i}_{j}.jpg\"\n",
    "        \n",
    "        # 保存图片\n",
    "        dst_img.save(os.path.join(dst_path, filename))\n",
    "        \n",
    "        count += 1\n",
    "        \n",
    "        # 停止条件\n",
    "        if count >= 1200:\n",
    "            break\n",
    "    if count >= 1200:\n",
    "        break\n",
    "\n",
    "print(f\"Total {count} images are created.\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total 1200 images are created.\n"
     ]
    }
   ],
   "source": [
    "# 2012_label\n",
    "from PIL import Image\n",
    "import os\n",
    "\n",
    "# 提高像素限制\n",
    "Image.MAX_IMAGE_PIXELS = None\n",
    "\n",
    "# 设置源图片的路径\n",
    "src_path = \"/Users/huanjingheng/Downloads/STATS-402/Building_change_detection_dataset/Building change detection dataset_add/1. The two-period image data/2012/whole_image/train/label/2012_train.tif\"\n",
    "\n",
    "# 设置存储分割后的图片的路径\n",
    "dst_path = \"/Users/huanjingheng/Downloads/STATS-402/new_splitted_images/2012_label\"\n",
    "\n",
    "# 读取图片\n",
    "src_img = Image.open(src_path)\n",
    "\n",
    "# 图片的大小\n",
    "src_width, src_height = src_img.size\n",
    "\n",
    "# 切割的大小\n",
    "dst_size = (500, 500)\n",
    "\n",
    "# 计数器\n",
    "count = 0\n",
    "\n",
    "for i in range(0, src_width - dst_size[0] + 1, dst_size[0]):\n",
    "    for j in range(0, src_height - dst_size[1] + 1, dst_size[1]):\n",
    "        box = (i, j, i+dst_size[0], j+dst_size[1])\n",
    "        dst_img = src_img.crop(box)\n",
    "        \n",
    "        # 创建文件名\n",
    "        filename = f\"2012_label_{i}_{j}.jpg\"\n",
    "        \n",
    "        # 保存图片\n",
    "        dst_img.save(os.path.join(dst_path, filename))\n",
    "        \n",
    "        count += 1\n",
    "        \n",
    "        # 停止条件\n",
    "        if count >= 1200:\n",
    "            break\n",
    "    if count >= 1200:\n",
    "        break\n",
    "\n",
    "print(f\"Total {count} images are created.\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total 1200 images are created.\n"
     ]
    }
   ],
   "source": [
    "# 2016\n",
    "from PIL import Image\n",
    "import os\n",
    "\n",
    "# 提高像素限制\n",
    "Image.MAX_IMAGE_PIXELS = None\n",
    "\n",
    "# 设置源图片的路径\n",
    "src_path = \"/Users/huanjingheng/Downloads/STATS-402/Building_change_detection_dataset/Building change detection dataset_add/1. The two-period image data/2016/whole_image/train/image/2016_train.tif\"\n",
    "\n",
    "# 设置存储分割后的图片的路径\n",
    "dst_path = \"/Users/huanjingheng/Downloads/STATS-402/new_splitted_images/2016\"\n",
    "\n",
    "# 读取图片\n",
    "src_img = Image.open(src_path)\n",
    "\n",
    "# 图片的大小\n",
    "src_width, src_height = src_img.size\n",
    "\n",
    "# 切割的大小\n",
    "dst_size = (500, 500)\n",
    "\n",
    "# 计数器\n",
    "count = 0\n",
    "\n",
    "for i in range(0, src_width - dst_size[0] + 1, dst_size[0]):\n",
    "    for j in range(0, src_height - dst_size[1] + 1, dst_size[1]):\n",
    "        box = (i, j, i+dst_size[0], j+dst_size[1])\n",
    "        dst_img = src_img.crop(box)\n",
    "        \n",
    "        # 创建文件名\n",
    "        filename = f\"2016_{i}_{j}.jpg\"\n",
    "        \n",
    "        # 保存图片\n",
    "        dst_img.save(os.path.join(dst_path, filename))\n",
    "        \n",
    "        count += 1\n",
    "        \n",
    "        # 停止条件\n",
    "        if count >= 1200:\n",
    "            break\n",
    "    if count >= 1200:\n",
    "        break\n",
    "\n",
    "print(f\"Total {count} images are created.\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total 1200 images are created.\n"
     ]
    }
   ],
   "source": [
    "# 2016 label\n",
    "from PIL import Image\n",
    "import os\n",
    "\n",
    "# 提高像素限制\n",
    "Image.MAX_IMAGE_PIXELS = None\n",
    "\n",
    "# 设置源图片的路径\n",
    "src_path = \"/Users/huanjingheng/Downloads/STATS-402/Building_change_detection_dataset/Building change detection dataset_add/1. The two-period image data/2016/whole_image/train/label/2016_train.tif\"\n",
    "\n",
    "# 设置存储分割后的图片的路径\n",
    "dst_path = \"/Users/huanjingheng/Downloads/STATS-402/new_splitted_images/2016_label\"\n",
    "\n",
    "# 读取图片\n",
    "src_img = Image.open(src_path)\n",
    "\n",
    "# 图片的大小\n",
    "src_width, src_height = src_img.size\n",
    "\n",
    "# 切割的大小\n",
    "dst_size = (500, 500)\n",
    "\n",
    "# 计数器\n",
    "count = 0\n",
    "\n",
    "for i in range(0, src_width - dst_size[0] + 1, dst_size[0]):\n",
    "    for j in range(0, src_height - dst_size[1] + 1, dst_size[1]):\n",
    "        box = (i, j, i+dst_size[0], j+dst_size[1])\n",
    "        dst_img = src_img.crop(box)\n",
    "        \n",
    "        # 创建文件名\n",
    "        filename = f\"2016_label_{i}_{j}.jpg\"\n",
    "        \n",
    "        # 保存图片\n",
    "        dst_img.save(os.path.join(dst_path, filename))\n",
    "        \n",
    "        count += 1\n",
    "        \n",
    "        # 停止条件\n",
    "        if count >= 1200:\n",
    "            break\n",
    "    if count >= 1200:\n",
    "        break\n",
    "\n",
    "print(f\"Total {count} images are created.\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total 1200 images are created.\n"
     ]
    }
   ],
   "source": [
    "# change_label\n",
    "from PIL import Image\n",
    "import os\n",
    "\n",
    "# 提高像素限制\n",
    "Image.MAX_IMAGE_PIXELS = None\n",
    "\n",
    "# 设置源图片的路径\n",
    "src_path = \"/Users/huanjingheng/Downloads/STATS-402/Building_change_detection_dataset/Building change detection dataset_add/1. The two-period image data/change_label/train/change_label.tif\"\n",
    "\n",
    "# 设置存储分割后的图片的路径\n",
    "dst_path = \"/Users/huanjingheng/Downloads/STATS-402/new_splitted_images/change_label\"\n",
    "\n",
    "# 读取图片\n",
    "src_img = Image.open(src_path)\n",
    "\n",
    "# 图片的大小\n",
    "src_width, src_height = src_img.size\n",
    "\n",
    "# 切割的大小\n",
    "dst_size = (500, 500)\n",
    "\n",
    "# 计数器\n",
    "count = 0\n",
    "\n",
    "for i in range(0, src_width - dst_size[0] + 1, dst_size[0]):\n",
    "    for j in range(0, src_height - dst_size[1] + 1, dst_size[1]):\n",
    "        box = (i, j, i+dst_size[0], j+dst_size[1])\n",
    "        dst_img = src_img.crop(box)\n",
    "        \n",
    "        # 创建文件名\n",
    "        filename = f\"change_label_{i}_{j}.jpg\"\n",
    "        \n",
    "        # 保存图片\n",
    "        dst_img.save(os.path.join(dst_path, filename))\n",
    "        \n",
    "        count += 1\n",
    "        \n",
    "        # 停止条件\n",
    "        if count >= 1200:\n",
    "            break\n",
    "    if count >= 1200:\n",
    "        break\n",
    "\n",
    "print(f\"Total {count} images are created.\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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