Skip to content

Instantly share code, notes, and snippets.

@nymwa

nymwa/hiraganappoino.ipynb

Created January 15, 2021 07:28
Show Gist options

  • Select an option

    Learn more about clone URLs
  • Save nymwa/176e40faca6d89f6aa64e9a71e0e3e5e to your computer and use it in GitHub Desktop.

Select an option

Learn more about clone URLs
Save nymwa/176e40faca6d89f6aa64e9a71e0e3e5e to your computer and use it in GitHub Desktop.
Download ZIP
hiraganappoino.ipynb
Display the source blob
Display the rendered blob
Raw
hiraganappoino.ipynb
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "hiraganappoino.ipynb",
"provenance": [],
"authorship_tag": "ABX9TyPLVTzQBmzqB0VWZ/zWxf5E",
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/nymwa/176e40faca6d89f6aa64e9a71e0e3e5e/hiraganappoino.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "IHbVNiFk8SWv",
"outputId": "2bc562d6-8779-4894-f532-dfa63f4e3b0e"
},
"source": [
"!pip install svgwrite cairosvg"
],
"execution_count": 6,
"outputs": [
{
"output_type": "stream",
"text": [
"Requirement already satisfied: svgwrite in /usr/local/lib/python3.6/dist-packages (1.4)\n",
"Requirement already satisfied: cairosvg in /usr/local/lib/python3.6/dist-packages (2.5.1)\n",
"Requirement already satisfied: cssselect2 in /usr/local/lib/python3.6/dist-packages (from cairosvg) (0.4.1)\n",
"Requirement already satisfied: pillow in /usr/local/lib/python3.6/dist-packages (from cairosvg) (7.0.0)\n",
"Requirement already satisfied: defusedxml in /usr/local/lib/python3.6/dist-packages (from cairosvg) (0.6.0)\n",
"Requirement already satisfied: cairocffi in /usr/local/lib/python3.6/dist-packages (from cairosvg) (1.2.0)\n",
"Requirement already satisfied: tinycss2 in /usr/local/lib/python3.6/dist-packages (from cairosvg) (1.1.0)\n",
"Requirement already satisfied: webencodings in /usr/local/lib/python3.6/dist-packages (from cssselect2->cairosvg) (0.5.1)\n",
"Requirement already satisfied: cffi>=1.1.0 in /usr/local/lib/python3.6/dist-packages (from cairocffi->cairosvg) (1.14.4)\n",
"Requirement already satisfied: pycparser in /usr/local/lib/python3.6/dist-packages (from cffi>=1.1.0->cairocffi->cairosvg) (2.20)\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "sr1hbOnA8QUo"
},
"source": [
"import random as rd\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"from io import BytesIO\n",
"from PIL import Image, ImageOps\n",
"from svgwrite import Drawing\n",
"from cairosvg import svg2png"
],
"execution_count": 7,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "YkkKE7Go8Q65"
},
"source": [
"def gen_svg(sample_width=False):\n",
" svg = Drawing(size=(256, 256))\n",
" for _ in range(rd.randrange(1, 6)):\n",
" ps = [rd.randrange(256) for _ in range(8)]\n",
" width = rd.randrange(2,10) if sample_width else 6\n",
" svg.add(svg.path(d='M{},{} C{},{} {},{}, {},{}'.format(*ps), stroke='black', fill='none', stroke_width=width))\n",
" return svg\n",
"\n",
"def to_img(svg):\n",
" png = svg2png(bytestring=svg.tostring())\n",
" img = Image.open(BytesIO(png))\n",
" _, _, _, img = img.split()\n",
" img = img.resize((32, 32))\n",
" return img\n",
"\n",
"def show_img(img):\n",
" plt.imshow(np.array(img), cmap='binary')\n",
" plt.show()"
],
"execution_count": 8,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"id": "0TOui6Do8XG-",
"outputId": "bbfd2e10-72fe-4c4f-de4b-f53b6a618812"
},
"source": [
"for _ in range(4):\n",
" show_img(to_img(gen_svg()))"
],
"execution_count": 9,
"outputs": [
{
"output_type": "display_data",
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"tags": [],
"needs_background": "light"
}
},
{
"output_type": "display_data",
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"tags": [],
"needs_background": "light"
}
},
{
"output_type": "display_data",
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"tags": [],
"needs_background": "light"
}
},
{
"output_type": "display_data",
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"tags": [],
"needs_background": "light"
}
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "KRXm8RfX8YVB"
},
"source": [
""
],
"execution_count": 9,
"outputs": []
}
]
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment