Added initial files

Data Generator.ipynb

@@ -0,0 +1,268 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from PIL import Image, ImageDraw, ImageFont\n",
+    "from random import randint\n",
+    "import os\n",
+    "import uuid"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def make_img(top,bottom,operand,mode):\n",
+    "    img = Image.new('1', (128,128), color = (1))\n",
+    "    fnt = ImageFont.truetype('arial.ttf', 50)\n",
+    "    d = ImageDraw.Draw(img)\n",
+    "    answer = get_answer(top,bottom,operand)\n",
+    "    my_string = str(str(top) + '\\n' + operand + str(bottom))\n",
+    "    d.multiline_text((30,5), my_string, font=fnt, align='right')\n",
+    "    d.line([(30,110),(115,110)], width=3)\n",
+    "    if not os.path.exists('./data/{}/{}'.format(mode,answer)):\n",
+    "        os.makedirs('./data/{}/{}'.format(mode,answer))\n",
+    "    img.save('./data/{}/{}/{}.png'.format(mode,answer,uuid.uuid4().hex))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "operators = ['x','+', '-']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def get_answer(top, bottom, operand):\n",
+    "    if(operand == 'x'):\n",
+    "        return top * bottom\n",
+    "    elif(operand == '+'):\n",
+    "        return top + bottom\n",
+    "    else:\n",
+    "        return top - bottom "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for i in range(1000):\n",
+    "    int_one = randint(0,10)\n",
+    "    int_two = randint(0,10)\n",
+    "    if(i/1000 < .6):\n",
+    "        mode = 'train'\n",
+    "    elif(i/1000 >= .6 and i/1000 < .8):\n",
+    "        mode = 'validate'\n",
+    "    else:\n",
+    "        mode = 'test'\n",
+    "    if(int_one > int_two):\n",
+    "        make_img(int_one,int_two, operators[randint(0,2)],mode)\n",
+    "    else:\n",
+    "        make_img(int_two,int_one, operators[randint(0,2)],mode)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "my_set = []\n",
+    "for i in range(11):\n",
+    "    for j in range(11):\n",
+    "        my_set.append(i+j)\n",
+    "        my_set.append(i*j)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "242"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(my_set)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{0,\n",
+       " 1,\n",
+       " 2,\n",
+       " 3,\n",
+       " 4,\n",
+       " 5,\n",
+       " 6,\n",
+       " 7,\n",
+       " 8,\n",
+       " 9,\n",
+       " 10,\n",
+       " 11,\n",
+       " 12,\n",
+       " 13,\n",
+       " 14,\n",
+       " 15,\n",
+       " 16,\n",
+       " 17,\n",
+       " 18,\n",
+       " 19,\n",
+       " 20,\n",
+       " 21,\n",
+       " 24,\n",
+       " 25,\n",
+       " 27,\n",
+       " 28,\n",
+       " 30,\n",
+       " 32,\n",
+       " 35,\n",
+       " 36,\n",
+       " 40,\n",
+       " 42,\n",
+       " 45,\n",
+       " 48,\n",
+       " 49,\n",
+       " 50,\n",
+       " 54,\n",
+       " 56,\n",
+       " 60,\n",
+       " 63,\n",
+       " 64,\n",
+       " 70,\n",
+       " 72,\n",
+       " 80,\n",
+       " 81,\n",
+       " 90,\n",
+       " 100}"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "my_set = set(my_set)\n",
+    "my_set"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "my_list = list(my_set)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "63"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "my_list[39]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "img = Image.new('1', (128,128), color = (1))\n",
+    "fnt = ImageFont.truetype('arial.ttf', 50)\n",
+    "d = ImageDraw.Draw(img)\n",
+    "top = 10\n",
+    "bottom = 10\n",
+    "operand = 'x'\n",
+    "answer = get_answer(top,bottom,operand)\n",
+    "my_string = str(str(top) + '\\n' + operand + str(bottom))\n",
+    "d.multiline_text((30,5), my_string, font=fnt, align='right')\n",
+    "d.line([(30,110),(115,110)], width=3)\n",
+    "img.save('./human/test.png')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for answer in range(100):\n",
+    "    for mode in ['train','validate','test']:\n",
+    "        if not os.path.exists('./data/{}/{}'.format(mode,answer)):\n",
+    "            os.makedirs('./data/{}/{}'.format(mode,answer))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.6.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}