mrvnthss/dobble

View on GitHub
tutorials/cards_projects.ipynb

Summary

Maintainability
Test Coverage
{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "5a958bc6-efad-4db7-b695-98f74d4bb4c5",
   "metadata": {},
   "source": [
    "# Projects with playing cards\n",
    "\n",
    "In this notebook, we look at some fun mini-projects one can implement using the **dobble** package's `Card` class.\n",
    "\n",
    "Before running this notebook, make sure that you have installed the **dobble** package in your virtual environment.  \n",
    "We start by performing all necessary imports."
   ]
  },
  {
   "cell_type": "code",
   "id": "initial_id",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-07T11:54:49.123366Z",
     "start_time": "2024-06-07T11:54:48.887856Z"
    }
   },
   "source": [
    "from pathlib import Path\n",
    "\n",
    "import numpy as np\n",
    "from PIL import Image\n",
    "\n",
    "from dobble import Card\n",
    "from utils import *"
   ],
   "outputs": [],
   "execution_count": 1
  },
  {
   "cell_type": "markdown",
   "id": "f0e007da-99c1-41c9-96e1-b3a6bab958cb",
   "metadata": {},
   "source": [
    "## Playing card GIFs\n",
    "\n",
    "While *Dobble* cards are awesome by themselves, we can make them even more enjoyable by adding some animations to them. To do so,  \n",
    "we can combine multiple images of the same or different cards and create fun GIFs out of them.\n",
    "\n",
    "\n",
    "### Creating a README GIF\n",
    "\n",
    "We start by creating a GIF to use in the project's README that showcases some of the cards one can create using the **dobble**  \n",
    "package. First, we write a simple function that horizontally combines two images into a single image. That way, we can later  \n",
    "display two cards next to each other."
   ]
  },
  {
   "cell_type": "code",
   "id": "3bfa67ee-546c-4cc2-bfde-67274a2e94ee",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-07T11:54:49.163361Z",
     "start_time": "2024-06-07T11:54:49.134200Z"
    }
   },
   "source": [
    "def create_tile_img(\n",
    "    img1: Image.Image,\n",
    "    img2: Image.Image,\n",
    "    padding: int\n",
    ") -> Image.Image:\n",
    "    \"\"\"Horizontally combine two images into a single image.\n",
    "\n",
    "    Args:\n",
    "        img1: The image to be placed on the left side.\n",
    "        img2: The image to be placed on the right side.\n",
    "        padding: The padding between the two images in pixels.\n",
    "\n",
    "    Returns:\n",
    "        The two images combined into a single image with the specified\n",
    "        padding between the two individual images.\n",
    "\n",
    "    Raises:\n",
    "        ValueError: If one (or both) of the images are not square images\n",
    "          or the two images are not identical in size.\n",
    "    \"\"\"\n",
    "\n",
    "    if not (\n",
    "        img1.size[0] == img1.size[1]\n",
    "        and img2.size[0] == img2.size[1]\n",
    "        and img1.size[0] == img2.size[0]\n",
    "    ):\n",
    "        raise ValueError(\"Both images must be square images of the same size!\")\n",
    "    \n",
    "    img_size = img1.size[0]\n",
    "    tile_img = Image.new(\"RGBA\", (2 * img_size + padding, img_size))\n",
    "    tile_img.paste(img1, (0, 0))\n",
    "    tile_img.paste(img2, (img_size + padding, 0))\n",
    "\n",
    "    return tile_img\n"
   ],
   "outputs": [],
   "execution_count": 2
  },
  {
   "cell_type": "markdown",
   "id": "4dfab3f2-cbee-4bed-9656-f5d16221be76",
   "metadata": {},
   "source": [
    "Next, we load the card images that we created in the [cards_examples.ipynb](cards_examples.ipynb) notebook, and we resize them  \n",
    "to be 512x512 pixels large."
   ]
  },
  {
   "cell_type": "code",
   "id": "4a08da46-e1d9-43c3-9dd6-a463b742e996",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-07T11:54:49.303591Z",
     "start_time": "2024-06-07T11:54:49.163981Z"
    }
   },
   "source": [
    "# Path to directory storing card images\n",
    "IMG_DIR = Path(\"../imgs/cards\")\n",
    "\n",
    "# Load all 6 card images\n",
    "activities_img = Image.open(IMG_DIR / \"activities_cci_5.png\").resize((512, 512))\n",
    "animals_img = Image.open(IMG_DIR / \"animals_ccic_7.png\").resize((512, 512))\n",
    "brands_img = Image.open(IMG_DIR / \"brands_ccis_5.png\").resize((512, 512))\n",
    "coffee_img = Image.open(IMG_DIR / \"coffee_ccir_8.png\").resize((512, 512))\n",
    "fruits_img = Image.open(IMG_DIR / \"fruits_ccib_6.png\").resize((512, 512))\n",
    "mixed_img = Image.open(IMG_DIR / \"mixed_ccib_6.png\").resize((512, 512))"
   ],
   "outputs": [],
   "execution_count": 3
  },
  {
   "cell_type": "markdown",
   "id": "13b34c6d-ee1b-4652-a16b-09491a3789c9",
   "metadata": {},
   "source": [
    "Next, we arrange the images in pairs and then create tile images using the `create_tile_img` function."
   ]
  },
  {
   "cell_type": "code",
   "id": "5129c263-31f8-47b3-87f4-a7c8c1d743b8",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-07T11:54:49.306808Z",
     "start_time": "2024-06-07T11:54:49.304350Z"
    }
   },
   "source": [
    "# Arrange images in pairs\n",
    "img_pairs = [\n",
    "    (mixed_img, coffee_img),\n",
    "    (fruits_img, activities_img),\n",
    "    (brands_img, animals_img)\n",
    "]\n",
    "\n",
    "# Create tile images\n",
    "tile_imgs = []\n",
    "for img_pair in img_pairs:\n",
    "    tile_imgs.append(create_tile_img(img_pair[0], img_pair[1], 50))"
   ],
   "outputs": [],
   "execution_count": 4
  },
  {
   "cell_type": "markdown",
   "id": "dd84c446-c139-45f2-9373-6729204c1fda",
   "metadata": {},
   "source": [
    "Next, we write a function that takes a list of PIL images, and turns them into a GIF."
   ]
  },
  {
   "cell_type": "code",
   "id": "a6d857f4-20be-4e2c-abf8-02737c129b41",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-07T11:54:49.310325Z",
     "start_time": "2024-06-07T11:54:49.307912Z"
    }
   },
   "source": [
    "def create_gif_from_imgs(\n",
    "    imgs: list[Image.Image],\n",
    "    fpath: str | Path,\n",
    "    frame_duration: int = 1000,\n",
    "    fading_frames: int = 10,\n",
    "    fading_delay: int = 100\n",
    ") -> None:\n",
    "    \"\"\"Create a GIF from a list of images.\n",
    "\n",
    "    Args:\n",
    "        imgs: The list of images to turn into a GIF.\n",
    "        fpath: The path used to save the GIF.\n",
    "        frame_duration: The time (in ms) to display each individual\n",
    "          image.\n",
    "        fading_frames: The number of frames used to fade between\n",
    "          consecutive images.  Set to 1 to disable fading.\n",
    "        fading_delay: The delay (in ms) between the fading frames.\n",
    "    \"\"\"\n",
    "\n",
    "    num_imgs = len(imgs)\n",
    "    alphas = np.linspace(0, 1, num=fading_frames, endpoint=False)\n",
    "\n",
    "    # Create frames of GIF\n",
    "    gif_imgs = []\n",
    "    for pair in range(0, num_imgs):\n",
    "        for idx, alpha in enumerate(alphas):\n",
    "            blended_img = Image.blend(imgs[pair], imgs[(pair + 1) % num_imgs], alpha)\n",
    "            blended_img.info[\"duration\"] = frame_duration if idx == 0 else fading_delay\n",
    "            gif_imgs.append(blended_img)\n",
    "\n",
    "    # Save GIF\n",
    "    gif_imgs[0].save(\n",
    "        str(fpath),\n",
    "        format='GIF',\n",
    "        save_all=True,\n",
    "        append_images=gif_imgs[1:],\n",
    "        loop=0\n",
    "    )\n"
   ],
   "outputs": [],
   "execution_count": 5
  },
  {
   "cell_type": "markdown",
   "id": "309cb397-237c-4da5-9e04-d717c00aa810",
   "metadata": {},
   "source": [
    "We apply this function right away to create our GIF to use in this project's README."
   ]
  },
  {
   "cell_type": "code",
   "id": "198c1eee-4fa2-46eb-8d4d-746b632dea28",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-07T11:54:49.724730Z",
     "start_time": "2024-06-07T11:54:49.310857Z"
    }
   },
   "source": [
    "create_gif_from_imgs(\n",
    "    tile_imgs,\n",
    "    IMG_DIR / \"card_examples.gif\"\n",
    ")"
   ],
   "outputs": [],
   "execution_count": 6
  },
  {
   "cell_type": "markdown",
   "id": "d2214750-10a2-4f65-b190-a0dd9a9b9608",
   "metadata": {},
   "source": [
    "And here is the result:\n",
    "\n",
    "<br>\n",
    "<img src=\"../imgs/cards/card_examples.gif\" width=\"800\">"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a1fd208a-13d4-47f5-9398-cc23540fe177",
   "metadata": {},
   "source": [
    "### Animating individual playing cards\n",
    "\n",
    "We can also use the `rotate()` method(s) for cards and emojis to animate playing cards. To do so, let's first recreate one of the  \n",
    "cards we created in the [cards_examples.ipynb](cards_examples.ipynb) notebook."
   ]
  },
  {
   "cell_type": "code",
   "id": "76307f9b-67f9-4ad3-8c67-2a256a0e96a8",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-07T11:54:49.934377Z",
     "start_time": "2024-06-07T11:54:49.725401Z"
    }
   },
   "source": [
    "# Recreate card from \"cards_examples.ipynb\"\n",
    "emojis = [\n",
    "    \"Opera\",\n",
    "    \"signal\",\n",
    "    \"apple\",\n",
    "    \"Chrome\",\n",
    "    \"github\"\n",
    "]\n",
    "card = Card(emojis, packing=\"ccis\")\n",
    "card.rotate_emojis(seed=30)\n",
    "card.rotate(seed=24)\n",
    "card_img = card.get_img(padding=0.1)\n",
    "display_card_inline(card_img)"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 7
  },
  {
   "cell_type": "code",
   "id": "0538c8dd-a9fc-4edb-8d97-9b2b97a9d2e7",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-07T11:54:49.937171Z",
     "start_time": "2024-06-07T11:54:49.935038Z"
    }
   },
   "source": [
    "def create_rotating_card(\n",
    "    card: Card,\n",
    "    fpath: str | Path,\n",
    "    rotation_step: int = 2,\n",
    "    padding: float = 0.1,\n",
    "    img_size: int = 512,\n",
    ") -> None:\n",
    "    \"\"\"Create a GIF of a rotating card.\n",
    "\n",
    "    Args:\n",
    "        card: The card to turn into a GIF.\n",
    "        fpath: The path used to save the GIF.\n",
    "        rotation_step: The number of degrees to rotate the card for in\n",
    "          each frame of the GIF.  Must be a factor of 360.\n",
    "        padding: The padding around each emoji image as a fraction\n",
    "          of the image size.  Must be in the range [0, 1).\n",
    "        img_size: The size of the square image in pixels.\n",
    "\n",
    "    Raises:\n",
    "        ValueError: If ``rotation_step`` is not a factor of 360.\n",
    "    \"\"\"\n",
    "    \n",
    "    if 360 % rotation_step != 0:\n",
    "        raise ValueError(f\"'rotation_step' must be a factor of 360, got {rotation_step}!\")\n",
    "\n",
    "    num_rotations = 360 // rotation_step\n",
    "    rotation_imgs = []\n",
    "    for _ in range(0, num_rotations):\n",
    "        card_img = draw_outline(card.get_img(\n",
    "            padding=padding,\n",
    "            img_size=img_size\n",
    "        ))\n",
    "        rotation_imgs.append(card_img)\n",
    "        card.rotate(rotation_step)\n",
    "\n",
    "    create_gif_from_imgs(\n",
    "        rotation_imgs,\n",
    "        fpath,\n",
    "        frame_duration=50,\n",
    "        fading_frames=1\n",
    "    )\n"
   ],
   "outputs": [],
   "execution_count": 8
  },
  {
   "cell_type": "markdown",
   "id": "e96eabdd-1dc5-49b4-860b-94c0b25fd752",
   "metadata": {},
   "source": [
    "Let's illustrate our new function using the card we have just created."
   ]
  },
  {
   "cell_type": "code",
   "id": "79a62885-70d9-4022-a076-acbb19dd8505",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-07T11:55:03.931918Z",
     "start_time": "2024-06-07T11:54:49.937611Z"
    }
   },
   "source": [
    "create_rotating_card(\n",
    "    card,\n",
    "    IMG_DIR / \"brands_animated.gif\"\n",
    ")"
   ],
   "outputs": [],
   "execution_count": 9
  },
  {
   "cell_type": "markdown",
   "id": "891c234f-bd28-49e7-9105-d5b5d13ae02b",
   "metadata": {},
   "source": [
    "Let's look at the result:\n",
    "\n",
    "<br>\n",
    "<img src=\"../imgs/cards/brands_animated.gif\" width=\"350\">"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}