combine images of different sizes with same width

combine_images.ipynb

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  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "fc99d84f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import numpy as np\n",
    "from PIL import Image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0703e8ce",
   "metadata": {},
   "outputs": [],
   "source": [
    "images_dir = r\"combine_images/\"\n",
    "files = os.listdir(images_dir)\n",
    "images = [Image.open(images_dir + file_name).convert('RGB') for file_name in files]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "7cbf449b",
   "metadata": {},
   "outputs": [],
   "source": [
    "required_width = max([im.size[0] for im in images])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "283837f8",
   "metadata": {},
   "outputs": [],
   "source": [
    "new_images = []\n",
    "for im in images:\n",
    "    width, height = im.size\n",
    "    ratio = required_width/width\n",
    "    new_width = int(ratio*width)\n",
    "    new_height = int(ratio*height)\n",
    "    new_images.append(im.resize((new_width, new_height)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "5b445308",
   "metadata": {},
   "outputs": [],
   "source": [
    "full_width = new_images[0].size[0]\n",
    "full_height = sum([im.size[1] for im in new_images])\n",
    "positions = np.cumsum([0, *[im.size[1] for im in new_images]])[:-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "6817f585",
   "metadata": {},
   "outputs": [],
   "source": [
    "combined_image = Image.new('RGB', (full_width, full_height))\n",
    "for pos,im in zip(positions, new_images):\n",
    "    combined_image.paste(im, (0,pos))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "bde6e584",
   "metadata": {},
   "outputs": [],
   "source": [
    "im_format = 'JPEG'\n",
    "combined_image.save(images_dir + r'result.' + im_format, format=im_format, quality=100)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "faeb3239",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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