TextMode_CharacterROMCreation.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "source": [
    "import numpy as np\n",
    "from PIL import ImageFont, Image, ImageDraw\n",
    "from matplotlib import pyplot as plt"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "source": [
    "def getCharacterMatrix(character=' ', display=False, fontName = \"\"):\n",
    "    font = ImageFont.truetype(fontName, 8)\n",
    "    width = 8\n",
    "    height = 8\n",
    "    im = Image.new(\"L\", (width, height))\n",
    "    # im = Image.new(\"1\", (width, height), (0, 0, 0))\n",
    "    draw = ImageDraw.Draw(im)\n",
    "    draw.text((0, 0), character, 1, font=font)\n",
    "\n",
    "    if display:\n",
    "        plt.imshow(im, cmap='gray')\n",
    "        plt.show()\n",
    "\n",
    "    gg = np.array(im).flatten()\n",
    "    st = ''\n",
    "    for i in range(gg.size):\n",
    "        st=st+str(gg[i])\n",
    "    return st\n",
    "\n",
    "def FontToMem(fontName=''):\n",
    "    st = ''\n",
    "    for i in range(0,256,1):\n",
    "        gg = getCharacterMatrix(chr(i),fontName=fontName, display=False)\n",
    "        ## reversing as they wer reversed\n",
    "        st = st + gg[::-1] +'\\n'\n",
    "    with open('./TextModeMemoryFiles/CharacterROM_ASCII.mem', 'w+') as fil:\n",
    "        fil.write(st[:-1])\n",
    "        fil.close()\n",
    "\n",
    "    \n",
    "FontToMem(\"Fonts/brixel-8x8-mono.ttf\")"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "source": [
    "getCharacterMatrix('K', True, 'Fonts/brixel-8x8-mono.ttf')"
   ],
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ],
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAPUAAAD4CAYAAAA0L6C7AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+j8jraAAAKPUlEQVR4nO3dT4iU9x3H8c+na0Ibk8ZD/yAq1ULw0BxqlJRgKW3EYokkOfSg0B5CYU8RpZSQBnroodeSnApiTQNJI8VECBKSBipNCo3VVUuia4KVtK5NakKaanqRNN8e9hEUdneemfk98zzznfcLRHecXb/j+PZ5Zmfm93NECEAen2l7AABlETWQDFEDyRA1kAxRA8ksa+KL2h7Zt9Q3btw4qj9KMzMzI/uzMuM+KyMivNDlbuIprVFGPcqn5OwF/w7RJ+6zMhaLmtNvIBmiBpIhaiAZogaSIWogGaIGkiFqIBmiBpIhaiCZWlHb3mb7LdvnbD/a9FAABtfzZaK2pyS9LWmrpDlJxyTtjIgzS3wOLxPForjPyhjmZaJ3SzoXEecj4qqkA5IeKDkcgHLqRL1K0oXrPp6rLruB7Wnbx20fLzUcgP4Ve+tlROyVtFca7ek3gBvVOVJflLTmuo9XV5cB6KA6UR+TdIftdbZvlrRD0gvNjgVgUD1PvyPiE9sPS3pZ0pSk/RFxuvHJAAyElU/6kPnpkVHiPiuDlU+ACUHUQDJEDSRD1EAyRA0kQ9RAMkQNJNPItjsYPzx3nAdHaiAZogaSIWogGaIGkiFqIBmiBpIhaiAZogaSIWogGaIGkukZte39ti/ZfnMUAwEYTp0j9W8kbWt4DgCF9Iw6Il6V9OEIZgFQQLF3admeljRd6usBGEytJYJtr5V0OCLurPVFWSJ47PD3OH5YIhiYEEQNJFPnKa1nJf1Z0nrbc7Z/1PxYAAbFtjt9yPxYkL/H8cNjamBCEDWQDFEDyRA1kAxRA8kQNZAMUQPJsO1Oh/HcMQbBkRpIhqiBZIgaSIaogWSIGkiGqIFkiBpIhqiBZIgaSIaogWTqrFG2xvYR22dsn7a9exSDARhMzzXKbK+UtDIiTti+TdKMpAcj4swSn8MaZQVkvm0Y3sBrlEXEuxFxovr1FUmzklaVHQ9AKX29S6vaqWODpKML/B7b7gAdUHuJYNu3SvqjpF9ExPM9rsvpdwGZbxuGN9QSwbZvkvScpGd6BQ2gXXW+UWZJT0n6MCL21PqiHKmLyHzbMLzFjtR1ov6mpNckvSHp0+rixyLixSU+h6gLyHzbMLyBox4EUZeR+bZheGy7A0wIogaSIWogGaIGkiFqIBmiBpIhaiAZogaSYS+tPozyxSCjxgtd8uBIDSRD1EAyRA0kQ9RAMkQNJEPUQDJEDSRD1EAyRA0kU2fbnc/a/ovtv1bb7vx8FIMBGEzd1USXR8TH1VLBf5K0OyJeX+JzUq5RhjJ4mWgZi61R1vO13zFfzcfVhzdVPygJ6Ki6i/lP2T4l6ZKkVyJiwW13bB+3fbz0kADq62uJYNsrJB2StCsi3lziepx+Y1GcfpdRZIngiPhI0hFJ20oMBaC8Ot/9/mJ1hJbtz0naKuls04MBGEydRRJWSnrK9pTm/xP4XUQcbnYsAINi2x2MHI+py2DbHWBCEDWQDFEDyRA1kAxRA8kQNZAMUQPJEDWQDNvu9IEXTZTBFj/N4kgNJEPUQDJEDSRD1EAyRA0kQ9RAMkQNJEPUQDJEDSRD1EAytaOuFvQ/aZtFB4EO6+dIvVvSbFODACij7rY7qyXdJ2lfs+MAGFbdI/Xjkh6R9OliV2AvLaAb6uzQsV3SpYiYWep6EbE3IjZFxKZi0wHoW50j9WZJ99t+R9IBSffafrrRqQAMrN9dL78t6ScRsb3H9VLu0DGJb7hvAvdZGezQAUwI9tLqQ+b/9UeJ+6wMjtTAhCBqIBmiBpIhaiAZogaSIWogGaIGkiFqIBmiBpIhaiAZogaSIWogGaIGkiFqIBmiBpIhaiAZogaSIWogmWV1rlStJHpF0v8kfcIywEB31Yq68p2I+KCxSQAUwek3kEzdqEPS723P2J5e6ApsuwN0Q60lgm2vioiLtr8k6RVJuyLi1SWuzxLBWBT3WRlDLREcERerny9JOiTp7nKjASipzgZ5y23fdu3Xkr4r6c2mBwMwmDrf/f6ypEPVacwySb+NiJcanQrAwNh2pw+ZH5+NEvdZGWy7A0wIogaSIWogGaIGkiFqIBmiBpIhaiCZft56CRQxyueOR/mcuNSN58U5UgPJEDWQDFEDyRA1kAxRA8kQNZAMUQPJEDWQDFEDyRA1kEytqG2vsH3Q9lnbs7bvaXowAIOp+9rvJyS9FBHft32zpFsanAnAEHouPGj7dkmnJH01ar46noUH0RWZ39AxzMKD6yS9L+lJ2ydt76vW/74B2+4A3VDnSL1J0uuSNkfEUdtPSLocET9b4nM4UqMTOFIvbE7SXEQcrT4+KOmuUoMBKKtn1BHxnqQLttdXF22RdKbRqQAMrO6ul1+XtE/SzZLOS3ooIv69xPU5/UYnTOLpN9vu9IGox88kRs0ryoBkiBpIhqiBZIgaSIaogWSIGkiGqIFkiBpIZuz30uIFIVjKJP774EgNJEPUQDJEDSRD1EAyRA0kQ9RAMkQNJEPUQDJEDSTTM2rb622fuu7HZdt7RjEcgP71tUaZ7SlJFyV9IyL+vsT1RrswFDCBSq1RtkXS35YKGkC7+n1Dxw5Jzy70G7anJU0PPRGAodQ+/a52u/ynpK9FxL96XJfTb6BhJU6/vyfpRK+gAbSrn6h3apFTbwDdUXfbneWS/qH5Par/U+P6nH4DDUu77Q4wqdh2B5gQRA0kQ9RAMkQNJEPUQDJEDSRD1EAyRA0k09S2Ox9I6vftmV+oPi+jrLeN29Weryz2G428omwQto9HxKa252hC1tvG7eomTr+BZIgaSKZLUe9te4AGZb1t3K4O6sxjagBldOlIDaAAogaS6UTUtrfZfsv2OduPtj1PCbbX2D5i+4zt07Z3tz1TSbanbJ+0fbjtWUqyvcL2Qdtnbc/avqftmfrV+mPqaoOAtyVtlTQn6ZiknRFxptXBhmR7paSVEXHC9m2SZiQ9OO636xrbP5a0SdLnI2J72/OUYvspSa9FxL5qBd1bIuKjtufqRxeO1HdLOhcR5yPiqqQDkh5oeaahRcS7EXGi+vUVSbOSVrU7VRm2V0u6T9K+tmcpyfbtkr4l6deSFBFXxy1oqRtRr5J04bqP55TkH/81ttdK2iDpaLuTFPO4pEckfdr2IIWtk/S+pCerhxb7qkU3x0oXok7N9q2SnpO0JyIutz3PsGxvl3QpImbanqUByyTdJelXEbFB0n8ljd33eLoQ9UVJa677eHV12dizfZPmg34mIp5ve55CNku63/Y7mn+odK/tp9sdqZg5SXMRce2M6qDmIx8rXYj6mKQ7bK+rvjGxQ9ILLc80NNvW/GOz2Yj4ZdvzlBIRP42I1RGxVvP31R8i4gctj1VERLwn6YLt9dVFWySN3Tc2m3rrZW0R8YnthyW9LGlK0v6ION3yWCVslvRDSW/YPlVd9lhEvNjiTOhtl6RnqgPMeUkPtTxP31p/SgtAWV04/QZQEFEDyRA1kAxRA8kQNZAMUQPJEDWQzP8B15gvTzTqPEcAAAAASUVORK5CYII="
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "'0100010001001000010100000111100001000100010001000100001000000000'"
      ]
     },
     "metadata": {},
     "execution_count": 3
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "source": [],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "source": [],
   "outputs": [],
   "metadata": {}
  }
 ],
 "metadata": {
  "orig_nbformat": 4,
  "language_info": {
   "name": "python",
   "version": "3.8.10",
   "mimetype": "text/x-python",
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "pygments_lexer": "ipython3",
   "nbconvert_exporter": "python",
   "file_extension": ".py"
  },
  "kernelspec": {
   "name": "python3",
   "display_name": "Python 3.8.10 64-bit"
  },
  "interpreter": {
   "hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}