random_single_collection.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from PIL import Image\n",
    "import random\n",
    "import randomize_image\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "num_iterations = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "test_image = randomize_image.full_random_image()\n",
    "test_size = test_image[0].size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "images = os.listdir(\"images\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in images:\n",
    "    for n in range(num_iterations):\n",
    "        rand_color = (random.randint(200,255),random.randint(200,255),random.randint(200,255))\n",
    "        full_image = Image.new(mode=\"RGB\", size=test_size, color=rand_color)\n",
    "        asset_image = randomize_image.random_color_image(i)\n",
    "        full_image.paste(asset_image[0], (0,0), mask=asset_image[1])\n",
    "        hash = random.getrandbits(64)\n",
    "        if not os.path.exists(\"collections/single/\"+i.strip(\".png\")):\n",
    "            os.makedirs(\"collections/single/\"+i.strip(\".png\"))\n",
    "        full_image.save(\"collections/single/\"+i.strip(\".png\")+\"/\"+i.strip(\".png\")+\"_%016x.png\" % hash)"
   ]
  }
 ],
 "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": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}