create_dataset.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "bb97a8bc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The autoreload extension is already loaded. To reload it, use:\n",
      "  %reload_ext autoreload\n"
     ]
    }
   ],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "b07f6c77",
   "metadata": {},
   "outputs": [],
   "source": [
    "import re\n",
    "from dataset import COCOPanopticDataset, COCODataLoader, COCOPanopticExample\n",
    "from copy import copy, deepcopy\n",
    "import json\n",
    "from PIL import Image\n",
    "import pickle as pkl\n",
    "\n",
    "from gradio_pww import unpack_layers\n",
    "import psd_tools\n",
    "import numpy as np\n",
    "import torch\n",
    "from pathlib import Path\n",
    "from functools import partial\n",
    "import itertools\n",
    "import random"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7a5c0049",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "f9b387f7",
   "metadata": {},
   "outputs": [],
   "source": [
    "def segmap_from_layers(layers, globalprompt):\n",
    "    ret = None\n",
    "    retdict = {}\n",
    "    for i, layer in enumerate(layers):\n",
    "        randomcolor = torch.randint(0, 256, (3,))     # RGB\n",
    "        code = randomcolor[0].item() + randomcolor[1].item() * 256 + randomcolor[2].item() * (256**2)\n",
    "        if f\":{i}}}\" in globalprompt:\n",
    "            globalprompt = re.sub(f\"\\:{i}\\\\}}\", f\":{code}}}\", globalprompt)\n",
    "        mask = layer[(512,512)]\n",
    "        maskcolor = mask.unsqueeze(-1).repeat(1, 1, 3) * randomcolor[None, None, :]\n",
    "        if ret is None:\n",
    "            ret = torch.zeros_like(maskcolor)\n",
    "        ret = torch.where(mask.unsqueeze(-1) > 0.5, maskcolor, ret)\n",
    "        retdict[code] = {\"caption\": layer[\"pos\"]}\n",
    "        print(layer[\"pos\"])\n",
    "        maskimg = mask[:,:, None].repeat(1,1,3).long().cpu().numpy() * 255\n",
    "        print(maskimg.shape, maskimg.max())\n",
    "        display(Image.fromarray(maskimg.astype(np.uint8)))\n",
    "        \n",
    "    ret = (ret).to(torch.long).cpu().numpy()\n",
    "    \n",
    "    return ret, retdict, globalprompt\n",
    "\n",
    "def psd_to_cocopanoptic(fp):\n",
    "    layers = psd_tools.PSDImage.open(fp)\n",
    "    spec = unpack_layers(layers)\n",
    "    segmap, prompts, globalprompt = segmap_from_layers(spec[\"layers\"], spec[\"global\"][\"pos\"])\n",
    "    img = Image.fromarray(segmap.astype(np.uint8))\n",
    "    ret = COCOPanopticExample(\n",
    "        id=-1,\n",
    "        img=img,\n",
    "        captions=[globalprompt],\n",
    "        seg_img=img,\n",
    "        seg_info=prompts,\n",
    "        cropsize=512\n",
    "    )\n",
    "    return ret\n",
    "\n",
    "def display_example(x):\n",
    "    display(x.load_seg_image())\n",
    "    print(x.captions)\n",
    "    print(repr(x.seg_info))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "1225a399",
   "metadata": {},
   "outputs": [],
   "source": [
    "# examples with three circular shapes\n",
    "threecirclesexamples = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "c6dd9484",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a highly detailed photorealistic image of a wooden table\n",
      "(512, 512, 3) 255\n"
     ]
    },
    {
     "data": {
      "image/png": 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/8PchTuY+AQSAn6U1wEYgkABwy28ZuLFsepXD+ieZALC9Ig2wtuE2AWAv72TgY1ne/ResXniHALCjBxtgEcISAsDuvmbAeoM6BAAglL8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R/48dE1QFAg1AAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a highly detailed photorealistic image of a red tennis ball\n",
      "(512, 512, 3) 255\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a highly detailed photorealistic image of a blue crystal ball\n",
      "(512, 512, 3) 255\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a highly detailed photorealistic image of a gold coin\n",
      "(512, 512, 3) 255\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a gold coin:7924463}, {a blue crystal ball:8606816} and {a red tennis ball:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a red tennis ball'}, 8606816: {'caption': 'a highly detailed photorealistic image of a blue crystal ball'}, 7924463: {'caption': 'a highly detailed photorealistic image of a gold coin'}}\n"
     ]
    }
   ],
   "source": [
    "fp = 'evaldata/threeballs.psd'\n",
    "\n",
    "torch.manual_seed(44)\n",
    "example = psd_to_cocopanoptic(fp)\n",
    "display_example(example)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "3bacba3f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# create prototype from example\n",
    "\n",
    "def _replace_func(matchobj, key=\"\", repl=\"\"):\n",
    "    # matchobj: \"{<OBJA>:1234}\", key=\"<OBJA>\", repl=\"a sunny {day}\", output: \"a sunny {day:1234}\"\n",
    "    m = re.match(\"^[^\\{]+\\{([^\\}]+)\\}.*$\", repl)\n",
    "    src = matchobj.group(0)\n",
    "    if m:\n",
    "        corerepl = m.group(1)     # \"day\"\n",
    "        src = src.replace(key, corerepl)    # \"{day:1234}\"\n",
    "        ret = repl.replace(\"{\" + corerepl + \"}\", src)\n",
    "    else:\n",
    "        ret = src.replace(key, repl)\n",
    "    return ret\n",
    "    \n",
    "\n",
    "def replace_in_captions(x, repls):\n",
    "    newcaptions = []\n",
    "    for caption in x.captions:\n",
    "        for k, v in repls.items():\n",
    "            caption = re.sub(r\"{{{k}:\\d+}}\".format(k=k), partial(_replace_func, key=k, repl=v), caption)\n",
    "            caption = caption.replace(k, v)\n",
    "        newcaptions.append(caption)\n",
    "\n",
    "    new_seg_info = {}\n",
    "    for regioncode, regioninfo in x.seg_info.items():\n",
    "        caption = regioninfo[\"caption\"]\n",
    "        for k, v in repls.items():\n",
    "            v = re.sub(r\"\\{([^\\}]+)\\}\", r\"\\1\", v)\n",
    "            caption = caption.replace(k, v)\n",
    "        new_seg_info[regioncode] = {\"caption\": caption}\n",
    "\n",
    "    ret = deepcopy(x)\n",
    "    ret.captions = newcaptions\n",
    "    ret.seg_info = new_seg_info\n",
    "    return ret"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "1da9a245",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'it is a sunny {day:123} today .'"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "k = \"<OBJ>\"\n",
    "caption = \"it is {<OBJ>:123} .\"\n",
    "v = \"a sunny {day} today\"\n",
    "re.sub(r\"{{{k}:\\d+}}\".format(k=k), partial(_replace_func, key=k, repl=v), caption)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "88f47455",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {<OBJ_A>:7924463}, {<OBJ_B>:8606816} and {<OBJ_C>:8600493} on {<OBJ_D>:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of <OBJ_D>'}, 8600493: {'caption': 'a highly detailed photorealistic image of <OBJ_C>'}, 8606816: {'caption': 'a highly detailed photorealistic image of <OBJ_B>'}, 7924463: {'caption': 'a highly detailed photorealistic image of <OBJ_A>'}}\n"
     ]
    }
   ],
   "source": [
    "repls = {\n",
    "    \"a gold coin\": \"<OBJ_A>\",\n",
    "    \"a blue crystal ball\": \"<OBJ_B>\",\n",
    "    \"a red tennis ball\": \"<OBJ_C>\",\n",
    "    \"a wooden table\": \"<OBJ_D>\"\n",
    "}\n",
    "prototype = replace_in_captions(example, repls)\n",
    "display_example(prototype)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "3670211b",
   "metadata": {},
   "outputs": [],
   "source": [
    "import random\n",
    "import itertools\n",
    "\n",
    "random.seed(42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "485ee2da",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "72\n",
      "{'<OBJ_D>': 'grass', '<OBJ_A>': 'a red crystal ball', '<OBJ_B>': 'a blue ping pong ball', '<OBJ_C>': 'a yellow tennis ball'}\n",
      "{'<OBJ_D>': 'grass', '<OBJ_A>': 'a blue crystal ball', '<OBJ_B>': 'a yellow ping pong ball', '<OBJ_C>': 'a red tennis ball'}\n",
      "{'<OBJ_D>': 'grass', '<OBJ_A>': 'a blue ping pong ball', '<OBJ_B>': 'a yellow tennis ball', '<OBJ_C>': 'a red crystal ball'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a yellow ping pong ball', '<OBJ_B>': 'a red crystal ball', '<OBJ_C>': 'a blue tennis ball'}\n",
      "{'<OBJ_D>': 'grass', '<OBJ_A>': 'a yellow tennis ball', '<OBJ_B>': 'a blue ping pong ball', '<OBJ_C>': 'a red crystal ball'}\n",
      "{'<OBJ_D>': 'grass', '<OBJ_A>': 'a blue ping pong ball', '<OBJ_B>': 'a red tennis ball', '<OBJ_C>': 'a yellow crystal ball'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a yellow tennis ball', '<OBJ_B>': 'a red ping pong ball', '<OBJ_C>': 'a blue crystal ball'}\n",
      "{'<OBJ_D>': 'grass', '<OBJ_A>': 'a yellow tennis ball', '<OBJ_B>': 'a blue crystal ball', '<OBJ_C>': 'a red ping pong ball'}\n",
      "{'<OBJ_D>': 'grass', '<OBJ_A>': 'a blue tennis ball', '<OBJ_B>': 'a yellow crystal ball', '<OBJ_C>': 'a red ping pong ball'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a yellow tennis ball', '<OBJ_B>': 'a blue crystal ball', '<OBJ_C>': 'a red ping pong ball'}\n",
      "74\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a red crystal ball', '<OBJ_B>': 'a red tennis ball', '<OBJ_C>': 'a yellow ping pong ball'}\n",
      "{'<OBJ_D>': 'grass', '<OBJ_A>': 'a red tennis ball', '<OBJ_B>': 'a blue tennis ball', '<OBJ_C>': 'a yellow ping pong ball'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a red crystal ball', '<OBJ_B>': 'a red ping pong ball', '<OBJ_C>': 'a yellow ping pong ball'}\n",
      "{'<OBJ_D>': 'grass', '<OBJ_A>': 'a red crystal ball', '<OBJ_B>': 'a yellow crystal ball', '<OBJ_C>': 'a yellow ping pong ball'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a yellow crystal ball', '<OBJ_B>': 'a yellow tennis ball', '<OBJ_C>': 'a yellow ping pong ball'}\n",
      "{'<OBJ_D>': 'grass', '<OBJ_A>': 'a red crystal ball', '<OBJ_B>': 'a blue crystal ball', '<OBJ_C>': 'a blue ping pong ball'}\n",
      "{'<OBJ_D>': 'grass', '<OBJ_A>': 'a blue crystal ball', '<OBJ_B>': 'a yellow crystal ball', '<OBJ_C>': 'a yellow tennis ball'}\n",
      "{'<OBJ_D>': 'grass', '<OBJ_A>': 'a red crystal ball', '<OBJ_B>': 'a red tennis ball', '<OBJ_C>': 'a blue ping pong ball'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a red tennis ball', '<OBJ_B>': 'a blue tennis ball', '<OBJ_C>': 'a yellow ping pong ball'}\n",
      "{'<OBJ_D>': 'grass', '<OBJ_A>': 'a red tennis ball', '<OBJ_B>': 'a blue tennis ball', '<OBJ_C>': 'a yellow tennis ball'}\n"
     ]
    }
   ],
   "source": [
    "# setting one: balls\n",
    "objects = [\"a {color} crystal ball\", \"a {color} tennis ball\", \"a {color} ping pong ball\"]\n",
    "object_colors = [\"red\", \"blue\", \"yellow\"]\n",
    "backgrounds = [\"a wooden table\", \"grass\"]\n",
    "\n",
    "retspecs = []\n",
    "\n",
    "# iterate through possible permutations\n",
    "specs = []\n",
    "for bgr in backgrounds:\n",
    "    spec = {\"<OBJ_D>\": bgr}\n",
    "    for objperm in itertools.permutations(objects, 3):\n",
    "        # print(objperm)\n",
    "        for colorperm in itertools.permutations(object_colors, 3):\n",
    "            for posname, obj, color in zip([\"<OBJ_A>\", \"<OBJ_B>\", \"<OBJ_C>\"], objperm, colorperm):\n",
    "                spec[posname] = obj.format(color=color)\n",
    "            specs.append(deepcopy(spec))\n",
    "            \n",
    "print(len(specs))\n",
    "random.shuffle(specs)\n",
    "specs = specs[:10]\n",
    "retspecs += specs\n",
    "\n",
    "for spec in specs:\n",
    "    print(spec)\n",
    "    \n",
    "    \n",
    "# iterate through possible combinations\n",
    "specs = []\n",
    "for bgr in backgrounds:\n",
    "    spec = {\"<OBJ_D>\": bgr}\n",
    "    specset = set()\n",
    "    for objperm in itertools.combinations_with_replacement(objects, 3):\n",
    "        # print(objperm)\n",
    "        _spec = deepcopy(spec)\n",
    "        for colorperm in itertools.combinations_with_replacement(object_colors, 3):\n",
    "            for posname, obj, color in zip([\"<OBJ_A>\", \"<OBJ_B>\", \"<OBJ_C>\"], objperm, colorperm):\n",
    "                _spec[posname] = obj.format(color=color)\n",
    "            specset = set(_spec.values())\n",
    "            if len(specset) < len(_spec):\n",
    "                continue\n",
    "            specs.append(deepcopy(_spec))\n",
    "            \n",
    "print(len(specs))\n",
    "random.shuffle(specs)\n",
    "specs = specs[:10]\n",
    "retspecs += specs\n",
    "\n",
    "for spec in specs:\n",
    "    print(spec)\n",
    "            "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "99c51e0f",
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "examples = []\n",
    "for spec in retspecs:\n",
    "    x = replace_in_captions(prototype, spec)\n",
    "    # display_example(x)\n",
    "    examples.append(x)\n",
    "    \n",
    "Path(\"evaldata/\").mkdir(exist_ok=True)\n",
    "with open(\"evaldata/threeballs1.pkl\", \"wb\") as f:\n",
    "    pkl.dump(examples, f)\n",
    "    \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "c5bf3f79",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1440\n",
      "{'<OBJ_D>': 'grass', '<OBJ_A>': 'a yellow ball', '<OBJ_B>': 'a blue ball', '<OBJ_C>': 'a green ball'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a blue ball', '<OBJ_B>': 'a yellow ball', '<OBJ_C>': 'a white ball'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a green ball', '<OBJ_B>': 'a white ball', '<OBJ_C>': 'a red ball'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a yellow ball', '<OBJ_B>': 'a red ball', '<OBJ_C>': 'a white ball'}\n",
      "{'<OBJ_D>': 'grass', '<OBJ_A>': 'a yellow ball', '<OBJ_B>': 'a red ball', '<OBJ_C>': 'a white ball'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a green ball', '<OBJ_B>': 'a red ball', '<OBJ_C>': 'a white ball'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a green ball', '<OBJ_B>': 'a yellow ball', '<OBJ_C>': 'a pink ball'}\n",
      "{'<OBJ_D>': 'grass', '<OBJ_A>': 'a red ball', '<OBJ_B>': 'a pink ball', '<OBJ_C>': 'a white ball'}\n",
      "{'<OBJ_D>': 'grass', '<OBJ_A>': 'a white ball', '<OBJ_B>': 'a yellow ball', '<OBJ_C>': 'a pink ball'}\n",
      "{'<OBJ_D>': 'grass', '<OBJ_A>': 'a white ball', '<OBJ_B>': 'a blue ball', '<OBJ_C>': 'a red ball'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a pink ball', '<OBJ_B>': 'a blue ball', '<OBJ_C>': 'a yellow ball'}\n",
      "{'<OBJ_D>': 'grass', '<OBJ_A>': 'a pink ball', '<OBJ_B>': 'a red ball', '<OBJ_C>': 'a white ball'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a green ball', '<OBJ_B>': 'a pink ball', '<OBJ_C>': 'a red ball'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a yellow ball', '<OBJ_B>': 'a red ball', '<OBJ_C>': 'a white ball'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a white ball', '<OBJ_B>': 'a pink ball', '<OBJ_C>': 'a green ball'}\n",
      "{'<OBJ_D>': 'grass', '<OBJ_A>': 'a red ball', '<OBJ_B>': 'a yellow ball', '<OBJ_C>': 'a blue ball'}\n",
      "{'<OBJ_D>': 'grass', '<OBJ_A>': 'a green ball', '<OBJ_B>': 'a yellow ball', '<OBJ_C>': 'a blue ball'}\n",
      "{'<OBJ_D>': 'grass', '<OBJ_A>': 'a pink ball', '<OBJ_B>': 'a red ball', '<OBJ_C>': 'a white ball'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a red ball', '<OBJ_B>': 'a yellow ball', '<OBJ_C>': 'a blue ball'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a green ball', '<OBJ_B>': 'a white ball', '<OBJ_C>': 'a blue ball'}\n"
     ]
    }
   ],
   "source": [
    "# setting one version two: colored balls\n",
    "objects = [\"a {color} ball\", \"a {color} ball\", \"a {color} ball\"]\n",
    "object_colors = [\"red\", \"blue\", \"green\", \"pink\", \"white\", \"yellow\"]\n",
    "backgrounds = [\"a wooden table\", \"grass\"]\n",
    "\n",
    "retspecs = []\n",
    "\n",
    "# iterate through possible permutations\n",
    "specs = []\n",
    "for bgr in backgrounds:\n",
    "    spec = {\"<OBJ_D>\": bgr}\n",
    "    for objperm in itertools.permutations(objects, 3):\n",
    "        # print(objperm)\n",
    "        for colorperm in itertools.permutations(object_colors, 3):\n",
    "            for posname, obj, color in zip([\"<OBJ_A>\", \"<OBJ_B>\", \"<OBJ_C>\"], objperm, colorperm):\n",
    "                spec[posname] = obj.format(color=color)\n",
    "            specs.append(deepcopy(spec))\n",
    "            \n",
    "print(len(specs))\n",
    "random.shuffle(specs)\n",
    "specs = specs[:20]\n",
    "retspecs += specs\n",
    "\n",
    "for spec in specs:\n",
    "    print(spec)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "c18cb385",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a yellow ball:7924463}, {a blue ball:8606816} and {a green ball:8600493} on {grass:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of grass'}, 8600493: {'caption': 'a highly detailed photorealistic image of a green ball'}, 8606816: {'caption': 'a highly detailed photorealistic image of a blue ball'}, 7924463: {'caption': 'a highly detailed photorealistic image of a yellow ball'}}\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a blue ball:7924463}, {a yellow ball:8606816} and {a white ball:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a white ball'}, 8606816: {'caption': 'a highly detailed photorealistic image of a yellow ball'}, 7924463: {'caption': 'a highly detailed photorealistic image of a blue ball'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a green ball:7924463}, {a white ball:8606816} and {a red ball:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a red ball'}, 8606816: {'caption': 'a highly detailed photorealistic image of a white ball'}, 7924463: {'caption': 'a highly detailed photorealistic image of a green ball'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a yellow ball:7924463}, {a red ball:8606816} and {a white ball:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a white ball'}, 8606816: {'caption': 'a highly detailed photorealistic image of a red ball'}, 7924463: {'caption': 'a highly detailed photorealistic image of a yellow ball'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a yellow ball:7924463}, {a red ball:8606816} and {a white ball:8600493} on {grass:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of grass'}, 8600493: {'caption': 'a highly detailed photorealistic image of a white ball'}, 8606816: {'caption': 'a highly detailed photorealistic image of a red ball'}, 7924463: {'caption': 'a highly detailed photorealistic image of a yellow ball'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a green ball:7924463}, {a red ball:8606816} and {a white ball:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a white ball'}, 8606816: {'caption': 'a highly detailed photorealistic image of a red ball'}, 7924463: {'caption': 'a highly detailed photorealistic image of a green ball'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a green ball:7924463}, {a yellow ball:8606816} and {a pink ball:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a pink ball'}, 8606816: {'caption': 'a highly detailed photorealistic image of a yellow ball'}, 7924463: {'caption': 'a highly detailed photorealistic image of a green ball'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a red ball:7924463}, {a pink ball:8606816} and {a white ball:8600493} on {grass:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of grass'}, 8600493: {'caption': 'a highly detailed photorealistic image of a white ball'}, 8606816: {'caption': 'a highly detailed photorealistic image of a pink ball'}, 7924463: {'caption': 'a highly detailed photorealistic image of a red ball'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a white ball:7924463}, {a yellow ball:8606816} and {a pink ball:8600493} on {grass:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of grass'}, 8600493: {'caption': 'a highly detailed photorealistic image of a pink ball'}, 8606816: {'caption': 'a highly detailed photorealistic image of a yellow ball'}, 7924463: {'caption': 'a highly detailed photorealistic image of a white ball'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a white ball:7924463}, {a blue ball:8606816} and {a red ball:8600493} on {grass:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of grass'}, 8600493: {'caption': 'a highly detailed photorealistic image of a red ball'}, 8606816: {'caption': 'a highly detailed photorealistic image of a blue ball'}, 7924463: {'caption': 'a highly detailed photorealistic image of a white ball'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a pink ball:7924463}, {a blue ball:8606816} and {a yellow ball:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a yellow ball'}, 8606816: {'caption': 'a highly detailed photorealistic image of a blue ball'}, 7924463: {'caption': 'a highly detailed photorealistic image of a pink ball'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a pink ball:7924463}, {a red ball:8606816} and {a white ball:8600493} on {grass:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of grass'}, 8600493: {'caption': 'a highly detailed photorealistic image of a white ball'}, 8606816: {'caption': 'a highly detailed photorealistic image of a red ball'}, 7924463: {'caption': 'a highly detailed photorealistic image of a pink ball'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a green ball:7924463}, {a pink ball:8606816} and {a red ball:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a red ball'}, 8606816: {'caption': 'a highly detailed photorealistic image of a pink ball'}, 7924463: {'caption': 'a highly detailed photorealistic image of a green ball'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a yellow ball:7924463}, {a red ball:8606816} and {a white ball:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a white ball'}, 8606816: {'caption': 'a highly detailed photorealistic image of a red ball'}, 7924463: {'caption': 'a highly detailed photorealistic image of a yellow ball'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a white ball:7924463}, {a pink ball:8606816} and {a green ball:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a green ball'}, 8606816: {'caption': 'a highly detailed photorealistic image of a pink ball'}, 7924463: {'caption': 'a highly detailed photorealistic image of a white ball'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a red ball:7924463}, {a yellow ball:8606816} and {a blue ball:8600493} on {grass:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of grass'}, 8600493: {'caption': 'a highly detailed photorealistic image of a blue ball'}, 8606816: {'caption': 'a highly detailed photorealistic image of a yellow ball'}, 7924463: {'caption': 'a highly detailed photorealistic image of a red ball'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a green ball:7924463}, {a yellow ball:8606816} and {a blue ball:8600493} on {grass:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of grass'}, 8600493: {'caption': 'a highly detailed photorealistic image of a blue ball'}, 8606816: {'caption': 'a highly detailed photorealistic image of a yellow ball'}, 7924463: {'caption': 'a highly detailed photorealistic image of a green ball'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a pink ball:7924463}, {a red ball:8606816} and {a white ball:8600493} on {grass:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of grass'}, 8600493: {'caption': 'a highly detailed photorealistic image of a white ball'}, 8606816: {'caption': 'a highly detailed photorealistic image of a red ball'}, 7924463: {'caption': 'a highly detailed photorealistic image of a pink ball'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a red ball:7924463}, {a yellow ball:8606816} and {a blue ball:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a blue ball'}, 8606816: {'caption': 'a highly detailed photorealistic image of a yellow ball'}, 7924463: {'caption': 'a highly detailed photorealistic image of a red ball'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a green ball:7924463}, {a white ball:8606816} and {a blue ball:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a blue ball'}, 8606816: {'caption': 'a highly detailed photorealistic image of a white ball'}, 7924463: {'caption': 'a highly detailed photorealistic image of a green ball'}}\n"
     ]
    }
   ],
   "source": [
    "examples = []\n",
    "for spec in retspecs:\n",
    "    x = replace_in_captions(prototype, spec)\n",
    "    display_example(x)\n",
    "    examples.append(x)\n",
    "    \n",
    "Path(\"evaldata/\").mkdir(exist_ok=True)\n",
    "with open(\"evaldata/threecoloredballs1.pkl\", \"wb\") as f:\n",
    "    pkl.dump(examples, f)\n",
    "    \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "adf26121",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "dd0a06b4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "108\n",
      "{'<OBJ_D>': 'a fruit basket', '<OBJ_A>': 'a green watermelon', '<OBJ_B>': 'a yellow orange', '<OBJ_C>': 'a red apple'}\n",
      "{'<OBJ_D>': 'a kitchen table', '<OBJ_A>': 'a green apple', '<OBJ_B>': 'a red orange', '<OBJ_C>': 'a yellow watermelon'}\n",
      "{'<OBJ_D>': 'a fruit basket', '<OBJ_A>': 'a red orange', '<OBJ_B>': 'a yellow apple', '<OBJ_C>': 'a green watermelon'}\n",
      "{'<OBJ_D>': 'a fruit basket', '<OBJ_A>': 'a green watermelon', '<OBJ_B>': 'a red apple', '<OBJ_C>': 'a yellow orange'}\n",
      "{'<OBJ_D>': 'grass', '<OBJ_A>': 'a yellow apple', '<OBJ_B>': 'a red watermelon', '<OBJ_C>': 'a green orange'}\n",
      "{'<OBJ_D>': 'a kitchen table', '<OBJ_A>': 'a green orange', '<OBJ_B>': 'a red apple', '<OBJ_C>': 'a yellow watermelon'}\n",
      "{'<OBJ_D>': 'grass', '<OBJ_A>': 'a green orange', '<OBJ_B>': 'a yellow watermelon', '<OBJ_C>': 'a red apple'}\n",
      "{'<OBJ_D>': 'a kitchen table', '<OBJ_A>': 'a yellow orange', '<OBJ_B>': 'a green watermelon', '<OBJ_C>': 'a red apple'}\n",
      "{'<OBJ_D>': 'a kitchen table', '<OBJ_A>': 'a red apple', '<OBJ_B>': 'a green orange', '<OBJ_C>': 'a yellow watermelon'}\n",
      "{'<OBJ_D>': 'grass', '<OBJ_A>': 'a red orange', '<OBJ_B>': 'a yellow watermelon', '<OBJ_C>': 'a green apple'}\n",
      "111\n",
      "{'<OBJ_D>': 'a kitchen table', '<OBJ_A>': 'a red orange', '<OBJ_B>': 'a red watermelon', '<OBJ_C>': 'a yellow watermelon'}\n",
      "{'<OBJ_D>': 'grass', '<OBJ_A>': 'a red orange', '<OBJ_B>': 'a green orange', '<OBJ_C>': 'a yellow orange'}\n",
      "{'<OBJ_D>': 'grass', '<OBJ_A>': 'a yellow orange', '<OBJ_B>': 'a yellow apple', '<OBJ_C>': 'a yellow watermelon'}\n",
      "{'<OBJ_D>': 'a fruit basket', '<OBJ_A>': 'a red orange', '<OBJ_B>': 'a red apple', '<OBJ_C>': 'a green apple'}\n",
      "{'<OBJ_D>': 'a fruit basket', '<OBJ_A>': 'a red orange', '<OBJ_B>': 'a green apple', '<OBJ_C>': 'a yellow watermelon'}\n",
      "{'<OBJ_D>': 'a kitchen table', '<OBJ_A>': 'a red apple', '<OBJ_B>': 'a red watermelon', '<OBJ_C>': 'a yellow watermelon'}\n",
      "{'<OBJ_D>': 'grass', '<OBJ_A>': 'a green orange', '<OBJ_B>': 'a green watermelon', '<OBJ_C>': 'a yellow watermelon'}\n",
      "{'<OBJ_D>': 'grass', '<OBJ_A>': 'a red orange', '<OBJ_B>': 'a yellow orange', '<OBJ_C>': 'a yellow watermelon'}\n",
      "{'<OBJ_D>': 'a fruit basket', '<OBJ_A>': 'a green orange', '<OBJ_B>': 'a yellow orange', '<OBJ_C>': 'a yellow apple'}\n",
      "{'<OBJ_D>': 'a fruit basket', '<OBJ_A>': 'a red apple', '<OBJ_B>': 'a yellow apple', '<OBJ_C>': 'a yellow watermelon'}\n"
     ]
    }
   ],
   "source": [
    "# setting two: fruits\n",
    "objects = [\"a {color} orange\", \"a {color} apple\", \"a {color} watermelon\"]\n",
    "object_colors = [\"red\", \"green\", \"yellow\"]\n",
    "backgrounds = [\"a kitchen table\", \"grass\", \"a fruit basket\"]\n",
    "\n",
    "retspecs = []\n",
    "\n",
    "# iterate through possible permutations\n",
    "specs = []\n",
    "for bgr in backgrounds:\n",
    "    spec = {\"<OBJ_D>\": bgr}\n",
    "    for objperm in itertools.permutations(objects, 3):\n",
    "        # print(objperm)\n",
    "        for colorperm in itertools.permutations(object_colors, 3):\n",
    "            for posname, obj, color in zip([\"<OBJ_A>\", \"<OBJ_B>\", \"<OBJ_C>\"], objperm, colorperm):\n",
    "                spec[posname] = obj.format(color=color)\n",
    "            specs.append(deepcopy(spec))\n",
    "            \n",
    "print(len(specs))\n",
    "random.shuffle(specs)\n",
    "specs = specs[:10]\n",
    "retspecs += specs\n",
    "\n",
    "for spec in specs:\n",
    "    print(spec)\n",
    "    \n",
    "    \n",
    "# iterate through possible combinations\n",
    "specs = []\n",
    "for bgr in backgrounds:\n",
    "    spec = {\"<OBJ_D>\": bgr}\n",
    "    specset = set()\n",
    "    for objperm in itertools.combinations_with_replacement(objects, 3):\n",
    "        # print(objperm)\n",
    "        _spec = deepcopy(spec)\n",
    "        for colorperm in itertools.combinations_with_replacement(object_colors, 3):\n",
    "            for posname, obj, color in zip([\"<OBJ_A>\", \"<OBJ_B>\", \"<OBJ_C>\"], objperm, colorperm):\n",
    "                _spec[posname] = obj.format(color=color)\n",
    "            specset = set(_spec.values())\n",
    "            if len(specset) < len(_spec):\n",
    "                continue\n",
    "            specs.append(deepcopy(_spec))\n",
    "            \n",
    "print(len(specs))\n",
    "random.shuffle(specs)\n",
    "specs = specs[:10]\n",
    "retspecs += specs\n",
    "\n",
    "for spec in specs:\n",
    "    print(spec)\n",
    "            "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "ed20361d",
   "metadata": {},
   "outputs": [],
   "source": [
    "examples = []\n",
    "for spec in retspecs:\n",
    "    x = replace_in_captions(prototype, spec)\n",
    "    # display_example(x)\n",
    "    examples.append(x)\n",
    "\n",
    "Path(\"evaldata\").mkdir(exist_ok=True)\n",
    "with open(\"evaldata/threefruits1.pkl\", \"wb\") as f:\n",
    "    pkl.dump(examples, f)\n",
    "    \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0aff6c54",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dfb6f5b1",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "e7e1b915",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1008\n",
      "{'<OBJ_D>': 'a kitchen table', '<OBJ_A>': 'a walnut', '<OBJ_B>': 'an orange', '<OBJ_C>': 'a watermelon'}\n",
      "{'<OBJ_D>': 'grass', '<OBJ_A>': 'a kiwi', '<OBJ_B>': 'a walnut', '<OBJ_C>': 'a peach'}\n",
      "{'<OBJ_D>': 'a kitchen table', '<OBJ_A>': 'a red apple', '<OBJ_B>': 'a kiwi', '<OBJ_C>': 'a watermelon'}\n",
      "{'<OBJ_D>': 'a kitchen table', '<OBJ_A>': 'a watermelon', '<OBJ_B>': 'an orange', '<OBJ_C>': 'a peach'}\n",
      "{'<OBJ_D>': 'a kitchen table', '<OBJ_A>': 'a grape', '<OBJ_B>': 'a walnut', '<OBJ_C>': 'a green apple'}\n",
      "{'<OBJ_D>': 'grass', '<OBJ_A>': 'a watermelon', '<OBJ_B>': 'a walnut', '<OBJ_C>': 'an orange'}\n",
      "{'<OBJ_D>': 'grass', '<OBJ_A>': 'a green apple', '<OBJ_B>': 'a peach', '<OBJ_C>': 'a grape'}\n",
      "{'<OBJ_D>': 'grass', '<OBJ_A>': 'an orange', '<OBJ_B>': 'a kiwi', '<OBJ_C>': 'a green apple'}\n",
      "{'<OBJ_D>': 'a kitchen table', '<OBJ_A>': 'a watermelon', '<OBJ_B>': 'a grape', '<OBJ_C>': 'a chestnut'}\n",
      "{'<OBJ_D>': 'a kitchen table', '<OBJ_A>': 'a watermelon', '<OBJ_B>': 'a peach', '<OBJ_C>': 'a grape'}\n",
      "{'<OBJ_D>': 'grass', '<OBJ_A>': 'a grape', '<OBJ_B>': 'a kiwi', '<OBJ_C>': 'a red apple'}\n",
      "{'<OBJ_D>': 'grass', '<OBJ_A>': 'a watermelon', '<OBJ_B>': 'a kiwi', '<OBJ_C>': 'a walnut'}\n",
      "{'<OBJ_D>': 'a kitchen table', '<OBJ_A>': 'an orange', '<OBJ_B>': 'a kiwi', '<OBJ_C>': 'a green apple'}\n",
      "{'<OBJ_D>': 'grass', '<OBJ_A>': 'a green apple', '<OBJ_B>': 'a red apple', '<OBJ_C>': 'an orange'}\n",
      "{'<OBJ_D>': 'a kitchen table', '<OBJ_A>': 'a peach', '<OBJ_B>': 'a watermelon', '<OBJ_C>': 'a red apple'}\n",
      "{'<OBJ_D>': 'grass', '<OBJ_A>': 'a red apple', '<OBJ_B>': 'an orange', '<OBJ_C>': 'a kiwi'}\n",
      "{'<OBJ_D>': 'grass', '<OBJ_A>': 'a red apple', '<OBJ_B>': 'a grape', '<OBJ_C>': 'a chestnut'}\n",
      "{'<OBJ_D>': 'grass', '<OBJ_A>': 'a grape', '<OBJ_B>': 'a watermelon', '<OBJ_C>': 'a kiwi'}\n",
      "{'<OBJ_D>': 'a kitchen table', '<OBJ_A>': 'a green apple', '<OBJ_B>': 'a red apple', '<OBJ_C>': 'a walnut'}\n",
      "{'<OBJ_D>': 'grass', '<OBJ_A>': 'a grape', '<OBJ_B>': 'a chestnut', '<OBJ_C>': 'a peach'}\n"
     ]
    }
   ],
   "source": [
    "# setting two, version 2: simple fruits\n",
    "objects = [\"an orange\", \"a red apple\", \"a green apple\", \"a watermelon\", \"a kiwi\", \"a chestnut\", \"a walnut\", \"a peach\", \"a grape\"]\n",
    "backgrounds = [\"a kitchen table\", \"grass\"]\n",
    "\n",
    "retspecs = []\n",
    "\n",
    "# iterate through possible permutations\n",
    "specs = []\n",
    "for bgr in backgrounds:\n",
    "    spec = {\"<OBJ_D>\": bgr}\n",
    "    for objperm in itertools.permutations(objects, 3):\n",
    "        for posname, obj in zip([\"<OBJ_A>\", \"<OBJ_B>\", \"<OBJ_C>\"], objperm):\n",
    "            spec[posname] = obj.format(color=color)\n",
    "        specs.append(deepcopy(spec))\n",
    "            \n",
    "print(len(specs))\n",
    "random.shuffle(specs)\n",
    "specs = specs[:20]\n",
    "retspecs += specs\n",
    "\n",
    "for spec in specs:\n",
    "    print(spec)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "5d561226",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a walnut:7924463}, {an orange:8606816} and {a watermelon:8600493} on {a kitchen table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a kitchen table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a watermelon'}, 8606816: {'caption': 'a highly detailed photorealistic image of an orange'}, 7924463: {'caption': 'a highly detailed photorealistic image of a walnut'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a kiwi:7924463}, {a walnut:8606816} and {a peach:8600493} on {grass:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of grass'}, 8600493: {'caption': 'a highly detailed photorealistic image of a peach'}, 8606816: {'caption': 'a highly detailed photorealistic image of a walnut'}, 7924463: {'caption': 'a highly detailed photorealistic image of a kiwi'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a red apple:7924463}, {a kiwi:8606816} and {a watermelon:8600493} on {a kitchen table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a kitchen table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a watermelon'}, 8606816: {'caption': 'a highly detailed photorealistic image of a kiwi'}, 7924463: {'caption': 'a highly detailed photorealistic image of a red apple'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a watermelon:7924463}, {an orange:8606816} and {a peach:8600493} on {a kitchen table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a kitchen table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a peach'}, 8606816: {'caption': 'a highly detailed photorealistic image of an orange'}, 7924463: {'caption': 'a highly detailed photorealistic image of a watermelon'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a grape:7924463}, {a walnut:8606816} and {a green apple:8600493} on {a kitchen table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a kitchen table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a green apple'}, 8606816: {'caption': 'a highly detailed photorealistic image of a walnut'}, 7924463: {'caption': 'a highly detailed photorealistic image of a grape'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a watermelon:7924463}, {a walnut:8606816} and {an orange:8600493} on {grass:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of grass'}, 8600493: {'caption': 'a highly detailed photorealistic image of an orange'}, 8606816: {'caption': 'a highly detailed photorealistic image of a walnut'}, 7924463: {'caption': 'a highly detailed photorealistic image of a watermelon'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a green apple:7924463}, {a peach:8606816} and {a grape:8600493} on {grass:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of grass'}, 8600493: {'caption': 'a highly detailed photorealistic image of a grape'}, 8606816: {'caption': 'a highly detailed photorealistic image of a peach'}, 7924463: {'caption': 'a highly detailed photorealistic image of a green apple'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {an orange:7924463}, {a kiwi:8606816} and {a green apple:8600493} on {grass:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of grass'}, 8600493: {'caption': 'a highly detailed photorealistic image of a green apple'}, 8606816: {'caption': 'a highly detailed photorealistic image of a kiwi'}, 7924463: {'caption': 'a highly detailed photorealistic image of an orange'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a watermelon:7924463}, {a grape:8606816} and {a chestnut:8600493} on {a kitchen table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a kitchen table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a chestnut'}, 8606816: {'caption': 'a highly detailed photorealistic image of a grape'}, 7924463: {'caption': 'a highly detailed photorealistic image of a watermelon'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a watermelon:7924463}, {a peach:8606816} and {a grape:8600493} on {a kitchen table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a kitchen table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a grape'}, 8606816: {'caption': 'a highly detailed photorealistic image of a peach'}, 7924463: {'caption': 'a highly detailed photorealistic image of a watermelon'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a grape:7924463}, {a kiwi:8606816} and {a red apple:8600493} on {grass:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of grass'}, 8600493: {'caption': 'a highly detailed photorealistic image of a red apple'}, 8606816: {'caption': 'a highly detailed photorealistic image of a kiwi'}, 7924463: {'caption': 'a highly detailed photorealistic image of a grape'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a watermelon:7924463}, {a kiwi:8606816} and {a walnut:8600493} on {grass:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of grass'}, 8600493: {'caption': 'a highly detailed photorealistic image of a walnut'}, 8606816: {'caption': 'a highly detailed photorealistic image of a kiwi'}, 7924463: {'caption': 'a highly detailed photorealistic image of a watermelon'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {an orange:7924463}, {a kiwi:8606816} and {a green apple:8600493} on {a kitchen table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a kitchen table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a green apple'}, 8606816: {'caption': 'a highly detailed photorealistic image of a kiwi'}, 7924463: {'caption': 'a highly detailed photorealistic image of an orange'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a green apple:7924463}, {a red apple:8606816} and {an orange:8600493} on {grass:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of grass'}, 8600493: {'caption': 'a highly detailed photorealistic image of an orange'}, 8606816: {'caption': 'a highly detailed photorealistic image of a red apple'}, 7924463: {'caption': 'a highly detailed photorealistic image of a green apple'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a peach:7924463}, {a watermelon:8606816} and {a red apple:8600493} on {a kitchen table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a kitchen table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a red apple'}, 8606816: {'caption': 'a highly detailed photorealistic image of a watermelon'}, 7924463: {'caption': 'a highly detailed photorealistic image of a peach'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a red apple:7924463}, {an orange:8606816} and {a kiwi:8600493} on {grass:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of grass'}, 8600493: {'caption': 'a highly detailed photorealistic image of a kiwi'}, 8606816: {'caption': 'a highly detailed photorealistic image of an orange'}, 7924463: {'caption': 'a highly detailed photorealistic image of a red apple'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a red apple:7924463}, {a grape:8606816} and {a chestnut:8600493} on {grass:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of grass'}, 8600493: {'caption': 'a highly detailed photorealistic image of a chestnut'}, 8606816: {'caption': 'a highly detailed photorealistic image of a grape'}, 7924463: {'caption': 'a highly detailed photorealistic image of a red apple'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a grape:7924463}, {a watermelon:8606816} and {a kiwi:8600493} on {grass:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of grass'}, 8600493: {'caption': 'a highly detailed photorealistic image of a kiwi'}, 8606816: {'caption': 'a highly detailed photorealistic image of a watermelon'}, 7924463: {'caption': 'a highly detailed photorealistic image of a grape'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a green apple:7924463}, {a red apple:8606816} and {a walnut:8600493} on {a kitchen table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a kitchen table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a walnut'}, 8606816: {'caption': 'a highly detailed photorealistic image of a red apple'}, 7924463: {'caption': 'a highly detailed photorealistic image of a green apple'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a grape:7924463}, {a chestnut:8606816} and {a peach:8600493} on {grass:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of grass'}, 8600493: {'caption': 'a highly detailed photorealistic image of a peach'}, 8606816: {'caption': 'a highly detailed photorealistic image of a chestnut'}, 7924463: {'caption': 'a highly detailed photorealistic image of a grape'}}\n"
     ]
    }
   ],
   "source": [
    "examples = []\n",
    "for spec in retspecs:\n",
    "    x = replace_in_captions(prototype, spec)\n",
    "    #display_example(x)\n",
    "    examples.append(x)\n",
    "\n",
    "Path(\"evaldata\").mkdir(exist_ok=True)\n",
    "with open(\"evaldata/threesimplefruits1.pkl\", \"wb\") as f:\n",
    "    pkl.dump(examples, f)\n",
    "    \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "98d718eb",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "216fab07",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "210\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a yellow smiley face pin', '<OBJ_B>': 'a lemon', '<OBJ_C>': 'a dandelion'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a slice of banana', '<OBJ_B>': 'cheese wheel', '<OBJ_C>': 'a yellow pancake'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a lemon', '<OBJ_B>': 'a yellow smiley face pin', '<OBJ_C>': 'a yellow pancake'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a gold coin', '<OBJ_B>': 'cheese wheel', '<OBJ_C>': 'a yellow pancake'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a yellow pancake', '<OBJ_B>': 'a dandelion', '<OBJ_C>': 'a yellow smiley face pin'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a yellow pancake', '<OBJ_B>': 'a lemon', '<OBJ_C>': 'a yellow smiley face pin'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a gold coin', '<OBJ_B>': 'a yellow smiley face pin', '<OBJ_C>': 'a dandelion'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'cheese wheel', '<OBJ_B>': 'a dandelion', '<OBJ_C>': 'a lemon'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a gold coin', '<OBJ_B>': 'a yellow pancake', '<OBJ_C>': 'a slice of banana'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a gold coin', '<OBJ_B>': 'a yellow pancake', '<OBJ_C>': 'a yellow smiley face pin'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a yellow pancake', '<OBJ_B>': 'a lemon', '<OBJ_C>': 'a slice of banana'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a slice of banana', '<OBJ_B>': 'a yellow smiley face pin', '<OBJ_C>': 'cheese wheel'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a dandelion', '<OBJ_B>': 'a yellow smiley face pin', '<OBJ_C>': 'a yellow pancake'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a gold coin', '<OBJ_B>': 'a yellow pancake', '<OBJ_C>': 'cheese wheel'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'cheese wheel', '<OBJ_B>': 'a lemon', '<OBJ_C>': 'a slice of banana'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a lemon', '<OBJ_B>': 'a slice of banana', '<OBJ_C>': 'a yellow smiley face pin'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a yellow smiley face pin', '<OBJ_B>': 'a lemon', '<OBJ_C>': 'cheese wheel'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a dandelion', '<OBJ_B>': 'a lemon', '<OBJ_C>': 'a slice of banana'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'cheese wheel', '<OBJ_B>': 'a slice of banana', '<OBJ_C>': 'a dandelion'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a dandelion', '<OBJ_B>': 'a slice of banana', '<OBJ_C>': 'a gold coin'}\n"
     ]
    }
   ],
   "source": [
    "# setting two, version 2: all yellow\n",
    "objects = [\"a lemon\", \"a gold coin\", \"cheese wheel\", \"a yellow smiley face pin\", \"a yellow pancake\", \"a dandelion\", \"a slice of banana\"]\n",
    "backgrounds = [\"a wooden table\"]\n",
    "\n",
    "retspecs = []\n",
    "\n",
    "# iterate through possible permutations\n",
    "specs = []\n",
    "for bgr in backgrounds:\n",
    "    spec = {\"<OBJ_D>\": bgr}\n",
    "    for objperm in itertools.permutations(objects, 3):\n",
    "        for posname, obj in zip([\"<OBJ_A>\", \"<OBJ_B>\", \"<OBJ_C>\"], objperm):\n",
    "            spec[posname] = obj.format(color=color)\n",
    "        specs.append(deepcopy(spec))\n",
    "            \n",
    "print(len(specs))\n",
    "random.shuffle(specs)\n",
    "specs = specs[:20]\n",
    "retspecs += specs\n",
    "\n",
    "for spec in specs:\n",
    "    print(spec)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "71e6b0be",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a yellow smiley face pin:7924463}, {a lemon:8606816} and {a dandelion:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a dandelion'}, 8606816: {'caption': 'a highly detailed photorealistic image of a lemon'}, 7924463: {'caption': 'a highly detailed photorealistic image of a yellow smiley face pin'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a slice of banana:7924463}, {cheese wheel:8606816} and {a yellow pancake:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a yellow pancake'}, 8606816: {'caption': 'a highly detailed photorealistic image of cheese wheel'}, 7924463: {'caption': 'a highly detailed photorealistic image of a slice of banana'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a lemon:7924463}, {a yellow smiley face pin:8606816} and {a yellow pancake:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a yellow pancake'}, 8606816: {'caption': 'a highly detailed photorealistic image of a yellow smiley face pin'}, 7924463: {'caption': 'a highly detailed photorealistic image of a lemon'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a gold coin:7924463}, {cheese wheel:8606816} and {a yellow pancake:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a yellow pancake'}, 8606816: {'caption': 'a highly detailed photorealistic image of cheese wheel'}, 7924463: {'caption': 'a highly detailed photorealistic image of a gold coin'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a yellow pancake:7924463}, {a dandelion:8606816} and {a yellow smiley face pin:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a yellow smiley face pin'}, 8606816: {'caption': 'a highly detailed photorealistic image of a dandelion'}, 7924463: {'caption': 'a highly detailed photorealistic image of a yellow pancake'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a yellow pancake:7924463}, {a lemon:8606816} and {a yellow smiley face pin:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a yellow smiley face pin'}, 8606816: {'caption': 'a highly detailed photorealistic image of a lemon'}, 7924463: {'caption': 'a highly detailed photorealistic image of a yellow pancake'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a gold coin:7924463}, {a yellow smiley face pin:8606816} and {a dandelion:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a dandelion'}, 8606816: {'caption': 'a highly detailed photorealistic image of a yellow smiley face pin'}, 7924463: {'caption': 'a highly detailed photorealistic image of a gold coin'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {cheese wheel:7924463}, {a dandelion:8606816} and {a lemon:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a lemon'}, 8606816: {'caption': 'a highly detailed photorealistic image of a dandelion'}, 7924463: {'caption': 'a highly detailed photorealistic image of cheese wheel'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a gold coin:7924463}, {a yellow pancake:8606816} and {a slice of banana:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a slice of banana'}, 8606816: {'caption': 'a highly detailed photorealistic image of a yellow pancake'}, 7924463: {'caption': 'a highly detailed photorealistic image of a gold coin'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a gold coin:7924463}, {a yellow pancake:8606816} and {a yellow smiley face pin:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a yellow smiley face pin'}, 8606816: {'caption': 'a highly detailed photorealistic image of a yellow pancake'}, 7924463: {'caption': 'a highly detailed photorealistic image of a gold coin'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a yellow pancake:7924463}, {a lemon:8606816} and {a slice of banana:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a slice of banana'}, 8606816: {'caption': 'a highly detailed photorealistic image of a lemon'}, 7924463: {'caption': 'a highly detailed photorealistic image of a yellow pancake'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a slice of banana:7924463}, {a yellow smiley face pin:8606816} and {cheese wheel:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of cheese wheel'}, 8606816: {'caption': 'a highly detailed photorealistic image of a yellow smiley face pin'}, 7924463: {'caption': 'a highly detailed photorealistic image of a slice of banana'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a dandelion:7924463}, {a yellow smiley face pin:8606816} and {a yellow pancake:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a yellow pancake'}, 8606816: {'caption': 'a highly detailed photorealistic image of a yellow smiley face pin'}, 7924463: {'caption': 'a highly detailed photorealistic image of a dandelion'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a gold coin:7924463}, {a yellow pancake:8606816} and {cheese wheel:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of cheese wheel'}, 8606816: {'caption': 'a highly detailed photorealistic image of a yellow pancake'}, 7924463: {'caption': 'a highly detailed photorealistic image of a gold coin'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {cheese wheel:7924463}, {a lemon:8606816} and {a slice of banana:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a slice of banana'}, 8606816: {'caption': 'a highly detailed photorealistic image of a lemon'}, 7924463: {'caption': 'a highly detailed photorealistic image of cheese wheel'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a lemon:7924463}, {a slice of banana:8606816} and {a yellow smiley face pin:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a yellow smiley face pin'}, 8606816: {'caption': 'a highly detailed photorealistic image of a slice of banana'}, 7924463: {'caption': 'a highly detailed photorealistic image of a lemon'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a yellow smiley face pin:7924463}, {a lemon:8606816} and {cheese wheel:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of cheese wheel'}, 8606816: {'caption': 'a highly detailed photorealistic image of a lemon'}, 7924463: {'caption': 'a highly detailed photorealistic image of a yellow smiley face pin'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a dandelion:7924463}, {a lemon:8606816} and {a slice of banana:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a slice of banana'}, 8606816: {'caption': 'a highly detailed photorealistic image of a lemon'}, 7924463: {'caption': 'a highly detailed photorealistic image of a dandelion'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {cheese wheel:7924463}, {a slice of banana:8606816} and {a dandelion:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a dandelion'}, 8606816: {'caption': 'a highly detailed photorealistic image of a slice of banana'}, 7924463: {'caption': 'a highly detailed photorealistic image of cheese wheel'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a dandelion:7924463}, {a slice of banana:8606816} and {a gold coin:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a gold coin'}, 8606816: {'caption': 'a highly detailed photorealistic image of a slice of banana'}, 7924463: {'caption': 'a highly detailed photorealistic image of a dandelion'}}\n"
     ]
    }
   ],
   "source": [
    "examples = []\n",
    "for spec in retspecs:\n",
    "    x = replace_in_captions(prototype, spec)\n",
    "    display_example(x)\n",
    "    examples.append(x)\n",
    "\n",
    "Path(\"evaldata\").mkdir(exist_ok=True)\n",
    "with open(\"evaldata/threeyellow1.pkl\", \"wb\") as f:\n",
    "    pkl.dump(examples, f)\n",
    "    \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f71d8465",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "id": "0f33a50b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "24\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a pumpkin', '<OBJ_B>': 'a persimmon', '<OBJ_C>': 'an apricot'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a persimmon', '<OBJ_B>': 'a pumpkin', '<OBJ_C>': 'an orange'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a pumpkin', '<OBJ_B>': 'an apricot', '<OBJ_C>': 'an orange'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'an apricot', '<OBJ_B>': 'a pumpkin', '<OBJ_C>': 'an orange'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'an apricot', '<OBJ_B>': 'a pumpkin', '<OBJ_C>': 'a persimmon'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a persimmon', '<OBJ_B>': 'a pumpkin', '<OBJ_C>': 'an apricot'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'an orange', '<OBJ_B>': 'a persimmon', '<OBJ_C>': 'an apricot'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'an apricot', '<OBJ_B>': 'a persimmon', '<OBJ_C>': 'an orange'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'an apricot', '<OBJ_B>': 'an orange', '<OBJ_C>': 'a persimmon'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a pumpkin', '<OBJ_B>': 'an orange', '<OBJ_C>': 'an apricot'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a persimmon', '<OBJ_B>': 'an apricot', '<OBJ_C>': 'a pumpkin'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a pumpkin', '<OBJ_B>': 'an orange', '<OBJ_C>': 'a persimmon'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'an apricot', '<OBJ_B>': 'a persimmon', '<OBJ_C>': 'a pumpkin'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'an orange', '<OBJ_B>': 'an apricot', '<OBJ_C>': 'a persimmon'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'an orange', '<OBJ_B>': 'a persimmon', '<OBJ_C>': 'a pumpkin'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a persimmon', '<OBJ_B>': 'an orange', '<OBJ_C>': 'a pumpkin'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a persimmon', '<OBJ_B>': 'an orange', '<OBJ_C>': 'an apricot'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a persimmon', '<OBJ_B>': 'an apricot', '<OBJ_C>': 'an orange'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'a pumpkin', '<OBJ_B>': 'a persimmon', '<OBJ_C>': 'an orange'}\n",
      "{'<OBJ_D>': 'a wooden table', '<OBJ_A>': 'an orange', '<OBJ_B>': 'a pumpkin', '<OBJ_C>': 'an apricot'}\n"
     ]
    }
   ],
   "source": [
    "# setting two, version 2: all oranges\n",
    "objects = [\"an orange\", \"a pumpkin\", \"an apricot\", \"a persimmon\", \"donald trump's face\"]\n",
    "backgrounds = [\"a wooden table\"]\n",
    "\n",
    "retspecs = []\n",
    "\n",
    "# iterate through possible permutations\n",
    "specs = []\n",
    "for bgr in backgrounds:\n",
    "    spec = {\"<OBJ_D>\": bgr}\n",
    "    for objperm in itertools.permutations(objects, 3):\n",
    "        for posname, obj in zip([\"<OBJ_A>\", \"<OBJ_B>\", \"<OBJ_C>\"], objperm):\n",
    "            spec[posname] = obj.format(color=color)\n",
    "        if objects[-1] in spec.values():\n",
    "            if random.random() < 1.1: #0.9:\n",
    "                continue\n",
    "        if objects[-1] == spec[\"<OBJ_A>\"] or objects[-1] == spec[\"<OBJ_C>\"]:\n",
    "            continue\n",
    "        specs.append(deepcopy(spec))\n",
    "            \n",
    "print(len(specs))\n",
    "random.shuffle(specs)\n",
    "specs = specs[:20]\n",
    "retspecs += specs\n",
    "\n",
    "for spec in specs:\n",
    "    print(spec)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "7013dd7b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a pumpkin:7924463}, {a persimmon:8606816} and {an apricot:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of an apricot'}, 8606816: {'caption': 'a highly detailed photorealistic image of a persimmon'}, 7924463: {'caption': 'a highly detailed photorealistic image of a pumpkin'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a persimmon:7924463}, {a pumpkin:8606816} and {an orange:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of an orange'}, 8606816: {'caption': 'a highly detailed photorealistic image of a pumpkin'}, 7924463: {'caption': 'a highly detailed photorealistic image of a persimmon'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a pumpkin:7924463}, {an apricot:8606816} and {an orange:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of an orange'}, 8606816: {'caption': 'a highly detailed photorealistic image of an apricot'}, 7924463: {'caption': 'a highly detailed photorealistic image of a pumpkin'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {an apricot:7924463}, {a pumpkin:8606816} and {an orange:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of an orange'}, 8606816: {'caption': 'a highly detailed photorealistic image of a pumpkin'}, 7924463: {'caption': 'a highly detailed photorealistic image of an apricot'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {an apricot:7924463}, {a pumpkin:8606816} and {a persimmon:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a persimmon'}, 8606816: {'caption': 'a highly detailed photorealistic image of a pumpkin'}, 7924463: {'caption': 'a highly detailed photorealistic image of an apricot'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a persimmon:7924463}, {a pumpkin:8606816} and {an apricot:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of an apricot'}, 8606816: {'caption': 'a highly detailed photorealistic image of a pumpkin'}, 7924463: {'caption': 'a highly detailed photorealistic image of a persimmon'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {an orange:7924463}, {a persimmon:8606816} and {an apricot:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of an apricot'}, 8606816: {'caption': 'a highly detailed photorealistic image of a persimmon'}, 7924463: {'caption': 'a highly detailed photorealistic image of an orange'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {an apricot:7924463}, {a persimmon:8606816} and {an orange:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of an orange'}, 8606816: {'caption': 'a highly detailed photorealistic image of a persimmon'}, 7924463: {'caption': 'a highly detailed photorealistic image of an apricot'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {an apricot:7924463}, {an orange:8606816} and {a persimmon:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a persimmon'}, 8606816: {'caption': 'a highly detailed photorealistic image of an orange'}, 7924463: {'caption': 'a highly detailed photorealistic image of an apricot'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a pumpkin:7924463}, {an orange:8606816} and {an apricot:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of an apricot'}, 8606816: {'caption': 'a highly detailed photorealistic image of an orange'}, 7924463: {'caption': 'a highly detailed photorealistic image of a pumpkin'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a persimmon:7924463}, {an apricot:8606816} and {a pumpkin:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a pumpkin'}, 8606816: {'caption': 'a highly detailed photorealistic image of an apricot'}, 7924463: {'caption': 'a highly detailed photorealistic image of a persimmon'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a pumpkin:7924463}, {an orange:8606816} and {a persimmon:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a persimmon'}, 8606816: {'caption': 'a highly detailed photorealistic image of an orange'}, 7924463: {'caption': 'a highly detailed photorealistic image of a pumpkin'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {an apricot:7924463}, {a persimmon:8606816} and {a pumpkin:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a pumpkin'}, 8606816: {'caption': 'a highly detailed photorealistic image of a persimmon'}, 7924463: {'caption': 'a highly detailed photorealistic image of an apricot'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {an orange:7924463}, {an apricot:8606816} and {a persimmon:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a persimmon'}, 8606816: {'caption': 'a highly detailed photorealistic image of an apricot'}, 7924463: {'caption': 'a highly detailed photorealistic image of an orange'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {an orange:7924463}, {a persimmon:8606816} and {a pumpkin:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a pumpkin'}, 8606816: {'caption': 'a highly detailed photorealistic image of a persimmon'}, 7924463: {'caption': 'a highly detailed photorealistic image of an orange'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a persimmon:7924463}, {an orange:8606816} and {a pumpkin:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of a pumpkin'}, 8606816: {'caption': 'a highly detailed photorealistic image of an orange'}, 7924463: {'caption': 'a highly detailed photorealistic image of a persimmon'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a persimmon:7924463}, {an orange:8606816} and {an apricot:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of an apricot'}, 8606816: {'caption': 'a highly detailed photorealistic image of an orange'}, 7924463: {'caption': 'a highly detailed photorealistic image of a persimmon'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a persimmon:7924463}, {an apricot:8606816} and {an orange:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of an orange'}, 8606816: {'caption': 'a highly detailed photorealistic image of an apricot'}, 7924463: {'caption': 'a highly detailed photorealistic image of a persimmon'}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMLC25GbSiABwOhlbG3Eb6eXj6guA9sx9mnIC4F+m2G3cN/ryJTD/4Qvhyxn9dOcEwH8YahdyoxjAdwBwHaOfMQQALmX0M4wAwDvMfabyJTBn+Cr4ZO4TQAA4L60Bxj2BBIC3vJaBN8Zlr3KY+yQTALZXpAGGO7xNANjLPRl4mN3v/gpGPNxDANjRhQ0wx2EJAWB3TzNg1kMdAgAQyr8FBBBKAABCCQBAKAEACCUAAKEEACCUAACEEgCAUAIAEEoAAEIJAEAoAQAIJQAAoQQAIJQAAIQSAIBQAgAQSgAAQgkAQCgBAAglAAChBAAglAAAhBIAgFACABBKAABC/R+bV27Za/GIJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {a pumpkin:7924463}, {a persimmon:8606816} and {an orange:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of an orange'}, 8606816: {'caption': 'a highly detailed photorealistic image of a persimmon'}, 7924463: {'caption': 'a highly detailed photorealistic image of a pumpkin'}}\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a highly detailed photorealistic image of {an orange:7924463}, {a pumpkin:8606816} and {an apricot:8600493} on {a wooden table:15835924}.']\n",
      "{15835924: {'caption': 'a highly detailed photorealistic image of a wooden table'}, 8600493: {'caption': 'a highly detailed photorealistic image of an apricot'}, 8606816: {'caption': 'a highly detailed photorealistic image of a pumpkin'}, 7924463: {'caption': 'a highly detailed photorealistic image of an orange'}}\n"
     ]
    }
   ],
   "source": [
    "examples = []\n",
    "for spec in retspecs:\n",
    "    x = replace_in_captions(prototype, spec)\n",
    "    display_example(x)\n",
    "    examples.append(x)\n",
    "\n",
    "Path(\"evaldata\").mkdir(exist_ok=True)\n",
    "with open(\"evaldata/threeorange1.pkl\", \"wb\") as f:\n",
    "    pkl.dump(examples, f)\n",
    "    \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8adbe69b",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bd5fbb54",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "032cdd90",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Unknown image resource 1092\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a photo of <OBJ_E>\n",
      "(512, 512, 3) 255\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a photo of <OBJ_A>\n",
      "(512, 512, 3) 255\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a photo of <OBJ_B>\n",
      "(512, 512, 3) 255\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a photo of <OBJ_C>\n",
      "(512, 512, 3) 255\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a photo of <OBJ_D>\n",
      "(512, 512, 3) 255\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAIAAAB7GkOtAAAEcElEQVR4nO3VsRHEMAwDQer771muwZ9wPLdbASLcDAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAC8dLYHADMz997tCfzpnK8e6W97AAA7BAAgSgAAogQAIEoAAKIEACBKAACiBAAgSgAAogQAIEoAAKIEACBKAACiBAAgSgAAogQAIEoAAKIEACBKAACiBAAgSgAAogQAIEoAAKIEACBKAACiBAAgSgAAogQAIEoAAKIEACBKAACiBAAgSgAAogQAIEoAAKIEACBKAACiBAAgSgAAogQAIEoAAKIEACBKAACiBAAgSgAAogQAIEoAAKIEACBKAACiBAAgSgAAogQAIEoAAKIEACBKAACiBAAgSgAAogQAIEoAAKIEACBKAACiBAAgSgAAogQAIEoAAKIEACBKAACiBAAgSgAAogQAIEoAAKIEACBKAACiBAAgSgAAogQAIEoAAKIEACBKAACiBAAgSgAAogQAIEoAAKIEACBKAACiBAAgSgAAogQAIEoAAKIEACBKAACiBAAgSgAAogQAIEoAAKIEACBKAACiBAAgSgAAogQAIEoAAKIEACBKAACiBAAgSgAAogQAIEoAAKIEACBKAACiBAAgSgAAogQAIEoAAKIEACBKAACiBAAgSgAAogQAIEoAAKIEACBKAACiBAAgSgAAogQAIEoAAKIEACBKAACiBAAgSgAAogQAIEoAAKIEACBKAACiBAAgSgAAogQAIEoAAKIEACBKAACiBAAgSgAAogQAIEoAAKIEACBKAACiBAAgSgAAogQAIEoAAKIEACBKAACiBAAgSgAAogQAIEoAAKIEACBKAACiBAAgSgAAogQAIEoAAKIEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgIQHP84ERmglqskAAAAASUVORK5CYII=",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a photo of {<OBJ_B>:11557828} on top of {<OBJ_A>:13026880}, and to the right {<OBJ_C>:13655074} falling on {<OBJ_D>:433644}. Background is {<OBJ_E>:5321472}.']\n",
      "{5321472: {'caption': 'a photo of <OBJ_E>'}, 11557828: {'caption': 'a photo of <OBJ_A>'}, 13026880: {'caption': 'a photo of <OBJ_B>'}, 13655074: {'caption': 'a photo of <OBJ_C>'}, 433644: {'caption': 'a photo of <OBJ_D>'}}\n"
     ]
    }
   ],
   "source": [
    "fp = 'evaldata/foursquares.psd'\n",
    "\n",
    "torch.manual_seed(48)\n",
    "prototype = psd_to_cocopanoptic(fp)\n",
    "display_example(prototype)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "8fc69ece",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5040\n",
      "{'<OBJ_E>': 'a living room', '<OBJ_A>': 'a concrete block', '<OBJ_B>': 'a yellow book', '<OBJ_C>': 'a gopro camera', '<OBJ_D>': 'spongebob'}\n",
      "{'<OBJ_E>': 'a lush forest', '<OBJ_A>': 'spongebob', '<OBJ_B>': 'a gopro camera', '<OBJ_C>': 'a cardboard box', '<OBJ_D>': 'an old-school tv'}\n",
      "{'<OBJ_E>': 'a brick wall', '<OBJ_A>': 'a square watermelon', '<OBJ_B>': 'a gopro camera', '<OBJ_C>': 'a concrete block', '<OBJ_D>': 'spongebob'}\n",
      "{'<OBJ_E>': 'a lush forest', '<OBJ_A>': 'a washing machine', '<OBJ_B>': 'spongebob', '<OBJ_C>': 'a cardboard box', '<OBJ_D>': 'an old-school tv'}\n",
      "{'<OBJ_E>': 'a brick wall', '<OBJ_A>': 'a washing machine', '<OBJ_B>': 'spongebob', '<OBJ_C>': 'a cardboard box', '<OBJ_D>': 'a square watermelon'}\n",
      "{'<OBJ_E>': 'a brick wall', '<OBJ_A>': 'a concrete block', '<OBJ_B>': 'a square watermelon', '<OBJ_C>': 'a yellow book', '<OBJ_D>': 'a washing machine'}\n",
      "{'<OBJ_E>': 'a lush forest', '<OBJ_A>': 'a gopro camera', '<OBJ_B>': 'a washing machine', '<OBJ_C>': 'a square watermelon', '<OBJ_D>': 'a concrete block'}\n",
      "{'<OBJ_E>': 'a lush forest', '<OBJ_A>': 'a gopro camera', '<OBJ_B>': 'a cardboard box', '<OBJ_C>': 'spongebob', '<OBJ_D>': 'a square watermelon'}\n",
      "{'<OBJ_E>': 'a lush forest', '<OBJ_A>': 'an old-school tv', '<OBJ_B>': 'a yellow book', '<OBJ_C>': 'spongebob', '<OBJ_D>': 'a cardboard box'}\n",
      "{'<OBJ_E>': 'a brick wall', '<OBJ_A>': 'a concrete block', '<OBJ_B>': 'a washing machine', '<OBJ_C>': 'a gopro camera', '<OBJ_D>': 'spongebob'}\n",
      "{'<OBJ_E>': 'a brick wall', '<OBJ_A>': 'an old-school tv', '<OBJ_B>': 'a cardboard box', '<OBJ_C>': 'a yellow book', '<OBJ_D>': 'a concrete block'}\n",
      "{'<OBJ_E>': 'a lush forest', '<OBJ_A>': 'a square watermelon', '<OBJ_B>': 'a yellow book', '<OBJ_C>': 'an old-school tv', '<OBJ_D>': 'a cardboard box'}\n",
      "{'<OBJ_E>': 'a brick wall', '<OBJ_A>': 'a washing machine', '<OBJ_B>': 'an old-school tv', '<OBJ_C>': 'a yellow book', '<OBJ_D>': 'spongebob'}\n",
      "{'<OBJ_E>': 'a brick wall', '<OBJ_A>': 'a square watermelon', '<OBJ_B>': 'a yellow book', '<OBJ_C>': 'a washing machine', '<OBJ_D>': 'a concrete block'}\n",
      "{'<OBJ_E>': 'a living room', '<OBJ_A>': 'a cardboard box', '<OBJ_B>': 'a gopro camera', '<OBJ_C>': 'an old-school tv', '<OBJ_D>': 'spongebob'}\n",
      "{'<OBJ_E>': 'a living room', '<OBJ_A>': 'spongebob', '<OBJ_B>': 'a cardboard box', '<OBJ_C>': 'a washing machine', '<OBJ_D>': 'a square watermelon'}\n",
      "{'<OBJ_E>': 'a living room', '<OBJ_A>': 'spongebob', '<OBJ_B>': 'a concrete block', '<OBJ_C>': 'an old-school tv', '<OBJ_D>': 'a square watermelon'}\n",
      "{'<OBJ_E>': 'a living room', '<OBJ_A>': 'a gopro camera', '<OBJ_B>': 'spongebob', '<OBJ_C>': 'an old-school tv', '<OBJ_D>': 'a square watermelon'}\n",
      "{'<OBJ_E>': 'a lush forest', '<OBJ_A>': 'an old-school tv', '<OBJ_B>': 'spongebob', '<OBJ_C>': 'a yellow book', '<OBJ_D>': 'a square watermelon'}\n",
      "{'<OBJ_E>': 'a brick wall', '<OBJ_A>': 'a concrete block', '<OBJ_B>': 'a yellow book', '<OBJ_C>': 'spongebob', '<OBJ_D>': 'an old-school tv'}\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'\\n# iterate through possible combinations\\nspecs = []\\nfor bgr in backgrounds:\\n    spec = {\"<OBJ_D>\": bgr}\\n    specset = set()\\n    for objperm in itertools.combinations_with_replacement(objects, 3):\\n        # print(objperm)\\n        _spec = deepcopy(spec)\\n        for colorperm in itertools.combinations_with_replacement(object_colors, 3):\\n            for posname, obj, color in zip([\"<OBJ_A>\", \"<OBJ_B>\", \"<OBJ_C>\"], objperm, colorperm):\\n                _spec[posname] = obj.format(color=color)\\n            specset = set(_spec.values())\\n            if len(specset) < len(_spec):\\n                continue\\n            specs.append(deepcopy(_spec))\\n            \\nprint(len(specs))\\nrandom.shuffle(specs)\\nspecs = specs[:10]\\nretspecs += specs\\n\\nfor spec in specs:\\n    print(spec)\\n\\n#'"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# setting three: four squares\n",
    "objects = [\"an old-school tv\", \"a cardboard box\", \"a square watermelon\", \"a concrete block\", \"spongebob\", \n",
    "           \"a yellow book\", \"a washing machine\", \"a gopro camera\"]\n",
    "backgrounds = [\"a lush forest\", \"a brick wall\", \"a living room\"]\n",
    "\n",
    "retspecs = []\n",
    "\n",
    "# iterate through possible permutations\n",
    "specs = []\n",
    "for bgr in backgrounds:\n",
    "    spec = {\"<OBJ_E>\": bgr}\n",
    "    for objperm in itertools.permutations(objects, 4):\n",
    "        for posname, obj in zip([\"<OBJ_A>\", \"<OBJ_B>\", \"<OBJ_C>\", \"<OBJ_D>\"], objperm):\n",
    "            spec[posname] = obj\n",
    "        specs.append(deepcopy(spec))\n",
    "            \n",
    "print(len(specs))\n",
    "random.shuffle(specs)\n",
    "specs = specs[:20]\n",
    "retspecs += specs\n",
    "\n",
    "for spec in specs:\n",
    "    print(spec)\n",
    "    \n",
    "\"\"\"\n",
    "# iterate through possible combinations\n",
    "specs = []\n",
    "for bgr in backgrounds:\n",
    "    spec = {\"<OBJ_D>\": bgr}\n",
    "    specset = set()\n",
    "    for objperm in itertools.combinations_with_replacement(objects, 3):\n",
    "        # print(objperm)\n",
    "        _spec = deepcopy(spec)\n",
    "        for colorperm in itertools.combinations_with_replacement(object_colors, 3):\n",
    "            for posname, obj, color in zip([\"<OBJ_A>\", \"<OBJ_B>\", \"<OBJ_C>\"], objperm, colorperm):\n",
    "                _spec[posname] = obj.format(color=color)\n",
    "            specset = set(_spec.values())\n",
    "            if len(specset) < len(_spec):\n",
    "                continue\n",
    "            specs.append(deepcopy(_spec))\n",
    "            \n",
    "print(len(specs))\n",
    "random.shuffle(specs)\n",
    "specs = specs[:10]\n",
    "retspecs += specs\n",
    "\n",
    "for spec in specs:\n",
    "    print(spec)\n",
    "\n",
    "#\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "0b71f3e4",
   "metadata": {},
   "outputs": [],
   "source": [
    "examples = []\n",
    "for spec in retspecs:\n",
    "    x = replace_in_captions(prototype, spec)\n",
    "    #display_example(x)\n",
    "    examples.append(x)\n",
    "\n",
    "Path(\"evaldata\").mkdir(exist_ok=True)\n",
    "with open(\"evaldata/foursquares1.pkl\", \"wb\") as f:\n",
    "    pkl.dump(examples, f)\n",
    "    \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0429f5ad",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9badffd9",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f24323c2",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "5b961b4e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a photo of <OBJ_D>\n",
      "(512, 512, 3) 255\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a photo of <OBJ_A>\n",
      "(512, 512, 3) 255\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a photo of <OBJ_B>\n",
      "(512, 512, 3) 255\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a photo of <OBJ_C>\n",
      "(512, 512, 3) 255\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x512>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['a photo of {<OBJ_B>:13026880} {<OBJ_A>:11557828} Background is {<OBJ_D>:5321472} with {<OBJ_C>:13655074}.']\n",
      "{5321472: {'caption': 'a photo of <OBJ_D>'}, 11557828: {'caption': 'a photo of <OBJ_A>'}, 13026880: {'caption': 'a photo of <OBJ_B>'}, 13655074: {'caption': 'a photo of <OBJ_C>'}}\n"
     ]
    }
   ],
   "source": [
    "fp = 'evaldata/openair.psd'\n",
    "\n",
    "torch.manual_seed(48)\n",
    "prototype = psd_to_cocopanoptic(fp)\n",
    "display_example(prototype)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "20f76b38",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "144\n",
      "{'<OBJ_A>': 'in the {desert}', '<OBJ_B>': 'a doll house', '<OBJ_D>': 'a blue sky', '<OBJ_C>': 'a hot air balloon'}\n",
      "{'<OBJ_A>': 'standing on {grass}', '<OBJ_B>': 'a container ship', '<OBJ_D>': 'a blue sky', '<OBJ_C>': 'the death star'}\n",
      "{'<OBJ_A>': 'in the {desert}', '<OBJ_B>': 'an old shack', '<OBJ_D>': 'a lush green forest', '<OBJ_C>': 'a magical fire orb'}\n",
      "{'<OBJ_A>': 'standing on the {ground}', '<OBJ_B>': 'an old shack', '<OBJ_D>': 'a dark starry night sky', '<OBJ_C>': 'the moon'}\n",
      "{'<OBJ_A>': 'floating in the {sea}', '<OBJ_B>': 'a container ship', '<OBJ_D>': 'a dark starry night sky', '<OBJ_C>': 'the moon'}\n",
      "{'<OBJ_A>': 'standing on {grass}', '<OBJ_B>': 'a car', '<OBJ_D>': 'a dark starry night sky', '<OBJ_C>': 'the moon'}\n",
      "{'<OBJ_A>': 'floating in the {sea}', '<OBJ_B>': 'a container ship', '<OBJ_D>': 'a blue sky', '<OBJ_C>': 'the death star'}\n",
      "{'<OBJ_A>': 'in the {desert}', '<OBJ_B>': 'a container ship', '<OBJ_D>': 'a dark starry night sky', '<OBJ_C>': 'a hot air balloon'}\n",
      "{'<OBJ_A>': 'floating in the {sea}', '<OBJ_B>': 'an old shack', '<OBJ_D>': 'a blue sky', '<OBJ_C>': 'the sun'}\n",
      "{'<OBJ_A>': 'standing on {grass}', '<OBJ_B>': 'a car', '<OBJ_D>': 'a blue sky', '<OBJ_C>': 'the moon'}\n",
      "{'<OBJ_A>': 'standing on the {ground}', '<OBJ_B>': 'a car', '<OBJ_D>': 'a dark starry night sky', '<OBJ_C>': 'the moon'}\n",
      "{'<OBJ_A>': 'standing on {grass}', '<OBJ_B>': 'a container ship', '<OBJ_D>': 'a blue sky', '<OBJ_C>': 'a hot air balloon'}\n",
      "{'<OBJ_A>': 'floating in the {sea}', '<OBJ_B>': 'a doll house', '<OBJ_D>': 'a lush green forest', '<OBJ_C>': 'a magical fire orb'}\n",
      "{'<OBJ_A>': 'in the {desert}', '<OBJ_B>': 'a container ship', '<OBJ_D>': 'a blue sky', '<OBJ_C>': 'the moon'}\n",
      "{'<OBJ_A>': 'in the {desert}', '<OBJ_B>': 'a container ship', '<OBJ_D>': 'a lush green forest', '<OBJ_C>': 'a red balloon'}\n",
      "{'<OBJ_A>': 'floating in the {sea}', '<OBJ_B>': 'a doll house', '<OBJ_D>': 'a lush green forest', '<OBJ_C>': 'a red balloon'}\n",
      "{'<OBJ_A>': 'in the {desert}', '<OBJ_B>': 'a car', '<OBJ_D>': 'a lush green forest', '<OBJ_C>': 'a red balloon'}\n",
      "{'<OBJ_A>': 'in the {desert}', '<OBJ_B>': 'a car', '<OBJ_D>': 'a blue sky', '<OBJ_C>': 'the death star'}\n",
      "{'<OBJ_A>': 'standing on the {ground}', '<OBJ_B>': 'a car', '<OBJ_D>': 'a blue sky', '<OBJ_C>': 'the sun'}\n",
      "{'<OBJ_A>': 'floating in the {sea}', '<OBJ_B>': 'a car', '<OBJ_D>': 'a blue sky', '<OBJ_C>': 'the sun'}\n"
     ]
    }
   ],
   "source": [
    "possibilities = {\n",
    "    \"<OBJ_A>\": [\"in the {desert}\", \"floating in the {sea}\", \"standing on the {ground}\", \"standing on {grass}\"],\n",
    "    \"<OBJ_B>\": [\"a doll house\", \"a container ship\", \"an old shack\", \"a car\"],\n",
    "    (\"<OBJ_D>\", \"<OBJ_C>\"): [([\"a dark starry night sky\"], [\"the moon\", \"a blood red moon\", \"a hot air balloon\"]), ([\"a blue sky\"], [\"the sun\", \"the moon\", \"a hot air balloon\", \"the death star\"]), ([\"a lush green forest\"], [\"a magical fire orb\", \"a red balloon\"])]\n",
    "}\n",
    "\n",
    "def get_possibilities2(ps):\n",
    "    ret = []\n",
    "    if len(ps) == 0:\n",
    "        return [{}]\n",
    "    for k in ps.keys():\n",
    "        vs = ps[k]\n",
    "        del ps[k]\n",
    "        downposs = get_possibilities(ps)\n",
    "        for e in downposs:\n",
    "            if isinstance(k, tuple):\n",
    "                pass\n",
    "            else:\n",
    "                for ve in vs:\n",
    "                    e_copy = deepcopy(e)\n",
    "                    e_copy[k] = ve\n",
    "                    ret.append(e_copy)\n",
    "        break\n",
    "    return ret\n",
    "\n",
    "def get_possibilities(ps):\n",
    "    ret = [{}]\n",
    "    for k, vs in ps.items():\n",
    "        newret = []\n",
    "        for e in ret:\n",
    "            for ve in vs:\n",
    "                if isinstance(k, tuple):\n",
    "                    assert isinstance(ve, tuple)\n",
    "                    ves = itertools.product(*ve)\n",
    "                    for vee in ves:\n",
    "                        e_copy = deepcopy(e)\n",
    "                        for ke, veee in zip(k, vee):\n",
    "                            e_copy[ke] = veee\n",
    "                        newret.append(e_copy)\n",
    "                else:\n",
    "                    e_copy = deepcopy(e)\n",
    "                    e_copy[k] = ve\n",
    "                    newret.append(e_copy)\n",
    "        ret = newret\n",
    "    return ret\n",
    "    \n",
    "pss = get_possibilities(possibilities)\n",
    "print(len(pss))\n",
    "    \n",
    "specs = pss\n",
    "random.shuffle(specs)\n",
    "specs = specs[:20]\n",
    "for psse in specs:\n",
    "    print(psse)\n",
    "    \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "bc7c2403",
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "examples = []\n",
    "for spec in specs:\n",
    "    x = replace_in_captions(prototype, spec)\n",
    "    # display_example(x)\n",
    "    examples.append(x)\n",
    "    \n",
    "Path(\"evaldata\").mkdir(exist_ok=True)\n",
    "with open(\"evaldata/openair1.pkl\", \"wb\") as f:\n",
    "    pkl.dump(examples, f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d65914ba",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7a7417fd",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a1eeaa09",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "442acd2c",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "687c7fd7",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "id": "5e86f337",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fd9a48192b0>]"
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# check schedule equations\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "\n",
    "def schedule(t, threshold=1000, softness=0.2, T=1000):  # t between 1000 and 0\n",
    "    Ts = int(threshold + T * softness / 2)\n",
    "    Te = int(threshold - T * softness / 2)\n",
    "    if t >= Ts:\n",
    "        return 1\n",
    "    elif t <= Te:\n",
    "        return 0\n",
    "    else:\n",
    "        return 1/2 + 1/2*np.sin(np.pi* (t-threshold)/(Ts - Te))\n",
    "    \n",
    "ts = [i for i in range(1000)]\n",
    "plt.plot([schedule(t, threshold=1000) for t in ts])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "id": "5c55e054",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 141,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# !pip install seaborn\n",
    "import seaborn as sns\n",
    "plt.gca().invert_xaxis()\n",
    "plt.rcParams['figure.figsize'] = (4,1)\n",
    "\n",
    "def schedule(t, softness=0.4, T=1000):  # t between 1000 and 0\n",
    "    Te = int(T * (1 - softness / 2))\n",
    "    if t <= Te:\n",
    "        return 0\n",
    "    else:\n",
    "        return 1/2 + 1/2*np.sin(np.pi* (t-T)/(softness * T))\n",
    "    \n",
    "ts = [i for i in range(1000)]\n",
    "sns.lineplot(x=ts, y=[schedule(t) for t in ts])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "id": "fac80111",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 158,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 400x100 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# !pip install seaborn\n",
    "import seaborn as sns\n",
    "plt.gca().invert_xaxis()\n",
    "plt.rcParams['figure.figsize'] = (4,1)\n",
    "\n",
    "def schedule(t, softness=0.4, T=1000):  # t between 1000 and 0\n",
    "    Te = int(T * (1 - softness / 2))\n",
    "    if t <= Te:\n",
    "        return 0\n",
    "    else:\n",
    "        return 1+np.cos(np.pi * (t -T)/(softness * T) - np.pi/2)\n",
    "    \n",
    "ts = [i for i in range(1000)]\n",
    "sns.lineplot(x=ts, y=[schedule(t) for t in ts])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "324ba17e",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "controlv11",
   "language": "python",
   "name": "controlv11"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}