notebooks/from_scratch.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "IME7PWLpD2bp"
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import tensorflow as tf\n",
    "\n",
    "import tensorflow_datasets as tfds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "colab_type": "code",
    "id": "opRKTAtJEG3r",
    "outputId": "21a254d9-ca2b-4672-f206-0b7e7fa0a9f2"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['abstract_reasoning',\n",
       " 'aeslc',\n",
       " 'aflw2k3d',\n",
       " 'amazon_us_reviews',\n",
       " 'arc',\n",
       " 'bair_robot_pushing_small',\n",
       " 'beans',\n",
       " 'big_patent',\n",
       " 'bigearthnet',\n",
       " 'billsum',\n",
       " 'binarized_mnist',\n",
       " 'binary_alpha_digits',\n",
       " 'c4',\n",
       " 'caltech101',\n",
       " 'caltech_birds2010',\n",
       " 'caltech_birds2011',\n",
       " 'cars196',\n",
       " 'cassava',\n",
       " 'cats_vs_dogs',\n",
       " 'celeb_a',\n",
       " 'celeb_a_hq',\n",
       " 'cfq',\n",
       " 'chexpert',\n",
       " 'cifar10',\n",
       " 'cifar100',\n",
       " 'cifar10_1',\n",
       " 'cifar10_corrupted',\n",
       " 'citrus_leaves',\n",
       " 'cityscapes',\n",
       " 'civil_comments',\n",
       " 'clevr',\n",
       " 'cmaterdb',\n",
       " 'cnn_dailymail',\n",
       " 'coco',\n",
       " 'coil100',\n",
       " 'colorectal_histology',\n",
       " 'colorectal_histology_large',\n",
       " 'cos_e',\n",
       " 'curated_breast_imaging_ddsm',\n",
       " 'cycle_gan',\n",
       " 'deep_weeds',\n",
       " 'definite_pronoun_resolution',\n",
       " 'diabetic_retinopathy_detection',\n",
       " 'div2k',\n",
       " 'dmlab',\n",
       " 'downsampled_imagenet',\n",
       " 'dsprites',\n",
       " 'dtd',\n",
       " 'duke_ultrasound',\n",
       " 'dummy_dataset_shared_generator',\n",
       " 'dummy_mnist',\n",
       " 'emnist',\n",
       " 'eraser_multi_rc',\n",
       " 'esnli',\n",
       " 'eurosat',\n",
       " 'fashion_mnist',\n",
       " 'flic',\n",
       " 'flores',\n",
       " 'food101',\n",
       " 'gap',\n",
       " 'gigaword',\n",
       " 'glue',\n",
       " 'groove',\n",
       " 'higgs',\n",
       " 'horses_or_humans',\n",
       " 'i_naturalist2017',\n",
       " 'image_label_folder',\n",
       " 'imagenet2012',\n",
       " 'imagenet2012_corrupted',\n",
       " 'imagenet_resized',\n",
       " 'imagenette',\n",
       " 'imagewang',\n",
       " 'imdb_reviews',\n",
       " 'iris',\n",
       " 'kitti',\n",
       " 'kmnist',\n",
       " 'lfw',\n",
       " 'librispeech',\n",
       " 'librispeech_lm',\n",
       " 'libritts',\n",
       " 'lm1b',\n",
       " 'lost_and_found',\n",
       " 'lsun',\n",
       " 'malaria',\n",
       " 'math_dataset',\n",
       " 'mnist',\n",
       " 'mnist_corrupted',\n",
       " 'movie_rationales',\n",
       " 'moving_mnist',\n",
       " 'multi_news',\n",
       " 'multi_nli',\n",
       " 'multi_nli_mismatch',\n",
       " 'natural_questions',\n",
       " 'newsroom',\n",
       " 'nsynth',\n",
       " 'omniglot',\n",
       " 'open_images_v4',\n",
       " 'opinosis',\n",
       " 'oxford_flowers102',\n",
       " 'oxford_iiit_pet',\n",
       " 'para_crawl',\n",
       " 'patch_camelyon',\n",
       " 'pet_finder',\n",
       " 'places365_small',\n",
       " 'plant_leaves',\n",
       " 'plant_village',\n",
       " 'plantae_k',\n",
       " 'qa4mre',\n",
       " 'quickdraw_bitmap',\n",
       " 'reddit_tifu',\n",
       " 'resisc45',\n",
       " 'rock_paper_scissors',\n",
       " 'rock_you',\n",
       " 'scan',\n",
       " 'scene_parse150',\n",
       " 'scicite',\n",
       " 'scientific_papers',\n",
       " 'shapes3d',\n",
       " 'smallnorb',\n",
       " 'snli',\n",
       " 'so2sat',\n",
       " 'speech_commands',\n",
       " 'squad',\n",
       " 'stanford_dogs',\n",
       " 'stanford_online_products',\n",
       " 'starcraft_video',\n",
       " 'sun397',\n",
       " 'super_glue',\n",
       " 'svhn_cropped',\n",
       " 'ted_hrlr_translate',\n",
       " 'ted_multi_translate',\n",
       " 'tf_flowers',\n",
       " 'the300w_lp',\n",
       " 'tiny_shakespeare',\n",
       " 'titanic',\n",
       " 'trivia_qa',\n",
       " 'uc_merced',\n",
       " 'ucf101',\n",
       " 'vgg_face2',\n",
       " 'visual_domain_decathlon',\n",
       " 'voc',\n",
       " 'wider_face',\n",
       " 'wikihow',\n",
       " 'wikipedia',\n",
       " 'wmt14_translate',\n",
       " 'wmt15_translate',\n",
       " 'wmt16_translate',\n",
       " 'wmt17_translate',\n",
       " 'wmt18_translate',\n",
       " 'wmt19_translate',\n",
       " 'wmt_t2t_translate',\n",
       " 'wmt_translate',\n",
       " 'xnli',\n",
       " 'xsum',\n",
       " 'yelp_polarity_reviews']"
      ]
     },
     "execution_count": 10,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tfds.list_builders()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 211,
     "referenced_widgets": [
      "de312240843f4d7abebabb0591b82c05",
      "2b208a1b51f74571be841e3de9f6f58b",
      "b86a0dbf31bb4155829f68f5fb6a87fd",
      "2cd89ebfe3b84698abec96b678b6ebf9",
      "587afd2bd9f94cbc91f3084b640140a5",
      "f4825e741b014694a5caaadf993c8df6",
      "ae0c67bfafd14dae812c1c7fca8f726c",
      "f542a7d179c0406eb02cc1da9f0078cc"
     ]
    },
    "colab_type": "code",
    "id": "sIvvxwQzEReo",
    "outputId": "c3e023c6-ba74-4cf2-fe2a-90ec8452cfa3"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1mDownloading and preparing dataset tf_flowers/3.0.0 (download: 218.21 MiB, generated: Unknown size, total: 218.21 MiB) to /root/tensorflow_datasets/tf_flowers/3.0.0...\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:Dataset tf_flowers is hosted on GCS. It will automatically be downloaded to your\n",
      "local data directory. If you'd instead prefer to read directly from our public\n",
      "GCS bucket (recommended if you're running on GCP), you can instead set\n",
      "data_dir=gs://tfds-data/datasets.\n",
      "\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "de312240843f4d7abebabb0591b82c05",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='Dl Completed...', max=5.0, style=ProgressStyle(descriptio…"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\u001b[1mDataset tf_flowers downloaded and prepared to /root/tensorflow_datasets/tf_flowers/3.0.0. Subsequent calls will reuse this data.\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "ds, ds_info = tfds.load('tf_flowers', split='train', with_info=True)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 519
    },
    "colab_type": "code",
    "id": "1oXpTuY7Fbrq",
    "outputId": "b16fb065-d4e3-4f12-d5d2-b87dd1464c91"
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 648x648 with 9 Axes>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = tfds.show_examples(ds_info, ds)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "w5QXrOFUDB-t"
   },
   "outputs": [],
   "source": [
    "!rm -rf images\n",
    "!mkdir images"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 196,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "6a9vbKzWNRw1"
   },
   "outputs": [],
   "source": [
    "from absl import logging\n",
    "\n",
    "from tensorflow_datasets.core import dataset_utils\n",
    "from tensorflow_datasets.core import features as features_lib\n",
    "from PIL import Image\n",
    "from efficientnet.preprocessing import center_crop_and_resize\n",
    "\n",
    "\n",
    "def save_examples(ds_info, ds, num_examples = 10, folder=\".\", image_key=None):\n",
    "  \"\"\"Save images from an image classification dataset.\n",
    "\n",
    "  Only works with datasets that have 1 image feature and optionally 1 label\n",
    "  feature (both inferred from `ds_info`). Note the dataset should be unbatched.\n",
    "\n",
    "  Usage:\n",
    "\n",
    "  ```python\n",
    "  ds, ds_info = tfds.load('cifar10', split='train', with_info=True)\n",
    "  fig = save_examples(ds_info, ds)\n",
    "  ```\n",
    "\n",
    "  Args:\n",
    "    ds_info: The dataset info object to which extract the label and features\n",
    "      info. Available either through `tfds.load('mnist', with_info=True)` or\n",
    "      `tfds.builder('mnist').info`\n",
    "    ds: `tf.data.Dataset`. The tf.data.Dataset object to visualize. Examples\n",
    "      should not be batched.\n",
    "    num_examples: `int`. Number of examples to save\n",
    "    folder: `str`. Where to save images\n",
    "    image_key: `string`, name of the feature that contains the image. If not\n",
    "       set, the system will try to auto-detect it.\n",
    "\n",
    "  Returns:\n",
    "  \"\"\"\n",
    "\n",
    "  if not image_key:\n",
    "    # Infer the image and label keys\n",
    "    image_keys = [\n",
    "        k for k, feature in ds_info.features.items()\n",
    "        if isinstance(feature, features_lib.Image)\n",
    "    ]\n",
    "\n",
    "    if not image_keys:\n",
    "      raise ValueError(\n",
    "          \"Visualisation not supported for dataset `{}`. Was not able to \"\n",
    "          \"auto-infer image.\".format(ds_info.name))\n",
    "\n",
    "    if len(image_keys) > 1:\n",
    "      raise ValueError(\n",
    "          \"Multiple image features detected in the dataset. Using the first one. You can \"\n",
    "          \"use `image_key` argument to override. Images detected: %s\" %\n",
    "          (\",\".join(image_keys)))\n",
    "\n",
    "    image_key = image_keys[0]\n",
    "\n",
    "  label_keys = [\n",
    "      k for k, feature in ds_info.features.items()\n",
    "      if isinstance(feature, features_lib.ClassLabel)\n",
    "  ]\n",
    "\n",
    "  label_key = label_keys[0] if len(label_keys) == 1 else None\n",
    "  if not label_key:\n",
    "    logging.info(\"Was not able to auto-infer label.\")\n",
    "\n",
    "  examples = list(dataset_utils.as_numpy(ds.take(num_examples)))\n",
    "\n",
    "  for i, ex in enumerate(examples):\n",
    "    if not isinstance(ex, dict):\n",
    "      raise ValueError(\n",
    "          \"tfds.show_examples requires examples as `dict`, with the same \"\n",
    "          \"structure as `ds_info.features`. It is currently not compatible \"\n",
    "          \"with `as_supervised=True`. Received: {}\".format(type(ex)))\n",
    "\n",
    "    # Plot the image\n",
    "    image = ex[image_key]\n",
    "    if len(image.shape) != 3:\n",
    "      raise ValueError(\n",
    "          \"Image dimension should be 3. tfds.show_examples does not support \"\n",
    "          \"batched examples or video.\")\n",
    "    _, _, c = image.shape\n",
    "    if c == 1:\n",
    "      image = image.reshape(image.shape[:2])\n",
    "    image = center_crop_and_resize(image, 224).astype(np.uint8)\n",
    "    im = Image.fromarray(image)\n",
    "    # Plot the label\n",
    "    if label_key:\n",
    "      label = ex[label_key]\n",
    "      label_str = ds_info.features[label_key].int2str(label)\n",
    "    else:\n",
    "      label_str = \"\"\n",
    "    im.save(f\"{folder}/image_{label_str}_{i}.jpeg\")\n",
    "\n",
    "save_examples(ds_info, ds, 1000, \"images\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "id": "5YcTct-rHnwy",
    "outputId": "ea86cbc3-7b2b-4fdf-99cb-933056043f6f"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "14M\timages\n"
     ]
    }
   ],
   "source": [
    "!du -hs images"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 377
    },
    "colab_type": "code",
    "id": "--J5jgi9AtUu",
    "outputId": "fa7b2775-493a-4241-e487-96cc9945708d"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting efficientnet\n",
      "  Downloading https://files.pythonhosted.org/packages/28/91/67848a143b54c331605bfba5fd31cf4e9db13d2e429d103fe807acc3bcf4/efficientnet-1.1.0-py3-none-any.whl\n",
      "Requirement already satisfied: scikit-image in /usr/local/lib/python3.6/dist-packages (from efficientnet) (0.16.2)\n",
      "Requirement already satisfied: keras-applications<=1.0.8,>=1.0.7 in /usr/local/lib/python3.6/dist-packages (from efficientnet) (1.0.8)\n",
      "Requirement already satisfied: networkx>=2.0 in /usr/local/lib/python3.6/dist-packages (from scikit-image->efficientnet) (2.4)\n",
      "Requirement already satisfied: PyWavelets>=0.4.0 in /usr/local/lib/python3.6/dist-packages (from scikit-image->efficientnet) (1.1.1)\n",
      "Requirement already satisfied: imageio>=2.3.0 in /usr/local/lib/python3.6/dist-packages (from scikit-image->efficientnet) (2.4.1)\n",
      "Requirement already satisfied: scipy>=0.19.0 in /usr/local/lib/python3.6/dist-packages (from scikit-image->efficientnet) (1.4.1)\n",
      "Requirement already satisfied: pillow>=4.3.0 in /usr/local/lib/python3.6/dist-packages (from scikit-image->efficientnet) (7.0.0)\n",
      "Requirement already satisfied: matplotlib!=3.0.0,>=2.0.0 in /usr/local/lib/python3.6/dist-packages (from scikit-image->efficientnet) (3.2.2)\n",
      "Requirement already satisfied: numpy>=1.9.1 in /usr/local/lib/python3.6/dist-packages (from keras-applications<=1.0.8,>=1.0.7->efficientnet) (1.18.5)\n",
      "Requirement already satisfied: h5py in /usr/local/lib/python3.6/dist-packages (from keras-applications<=1.0.8,>=1.0.7->efficientnet) (2.10.0)\n",
      "Requirement already satisfied: decorator>=4.3.0 in /usr/local/lib/python3.6/dist-packages (from networkx>=2.0->scikit-image->efficientnet) (4.4.2)\n",
      "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.6/dist-packages (from matplotlib!=3.0.0,>=2.0.0->scikit-image->efficientnet) (0.10.0)\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib!=3.0.0,>=2.0.0->scikit-image->efficientnet) (1.2.0)\n",
      "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib!=3.0.0,>=2.0.0->scikit-image->efficientnet) (2.4.7)\n",
      "Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib!=3.0.0,>=2.0.0->scikit-image->efficientnet) (2.8.1)\n",
      "Requirement already satisfied: six in /usr/local/lib/python3.6/dist-packages (from h5py->keras-applications<=1.0.8,>=1.0.7->efficientnet) (1.12.0)\n",
      "Installing collected packages: efficientnet\n",
      "Successfully installed efficientnet-1.1.0\n"
     ]
    }
   ],
   "source": [
    "!pip install efficientnet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "5NjzgI3I-2jb"
   },
   "outputs": [],
   "source": [
    "import tensorflow as tf\n",
    "import numpy as np\n",
    "import time\n",
    "\n",
    "from efficientnet.tfkeras import EfficientNetB0\n",
    "import numpy as np\n",
    "import pyarrow.parquet as pq\n",
    "import pyarrow as pa\n",
    "\n",
    "\n",
    "def list_files(images_path):\n",
    "    return tf.data.Dataset.list_files(images_path + '/*', shuffle=False).cache()\n",
    "\n",
    "\n",
    "def process_path(file_path):\n",
    "    parts = tf.strings.split(file_path, '/')\n",
    "    image_name = tf.strings.split(parts[-1], '.')[0]\n",
    "    raw = tf.io.read_file(file_path)\n",
    "    return raw, image_name\n",
    "\n",
    "\n",
    "def read_data_from_files(list_ds):\n",
    "    return list_ds.map(process_path,\n",
    "                       num_parallel_calls=tf.data.experimental.AUTOTUNE)#.apply(tf.data.experimental.ignore_errors())\n",
    "\n",
    "\n",
    "def images_to_embeddings(model, dataset, batch_size):\n",
    "    return model.predict(dataset.batch(batch_size).map(lambda image_raw, image_name: image_raw), verbose=1)\n",
    "\n",
    "\n",
    "def save_embeddings_ds_to_parquet(embeddings, dataset, path):\n",
    "    embeddings = pa.array(embeddings.tolist(), type=pa.list_(pa.float32()))\n",
    "    image_names = pa.array(dataset.map(lambda image_raw, image_name: image_name).as_numpy_iterator())\n",
    "    table = pa.Table.from_arrays([image_names, embeddings], [\"image_name\", \"embedding\"])\n",
    "    pq.write_table(table, path)\n",
    "\n",
    "\n",
    "def compute_save_embeddings(list_ds, folder, num_shards, model, batch_size):\n",
    "    start = time.time()\n",
    "    for shard_id in range(0, num_shards):\n",
    "        shard_list = list_ds.shard(num_shards=num_shards, index=shard_id)\n",
    "        shard = read_data_from_files(shard_list)\n",
    "        embeddings = images_to_embeddings(model, shard, batch_size)\n",
    "        print(\"Shard \" + str(shard_id) + \" done after \" + str(int(time.time() - start)) + \"s\")\n",
    "        save_embeddings_ds_to_parquet(embeddings, shard,\n",
    "                                      folder + \"/part-\" + \"{:03d}\".format(shard_id) + \".parquet\")\n",
    "        print(\"Shard \" + str(shard_id) + \" saved after \" + str(int(time.time() - start)) + \"s\")\n",
    "    print(\"Total time : \" + str(int(time.time() - start)))\n",
    "\n",
    "\n",
    "def run_inference(image_folder, output_folder, num_shards=100, batch_size=1000):\n",
    "    model = EfficientNetB0(weights='imagenet', include_top=False, pooling=\"avg\")\n",
    "    list_ds = list_files(image_folder)\n",
    "    compute_save_embeddings(list_ds, output_folder, num_shards, model, batch_size)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "V3btWu8IN9lg"
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "GHWxOxS0V4kF"
   },
   "outputs": [],
   "source": [
    "#from inference import list_files, compute_save_embeddings, read_data_from_files,\\\n",
    "#images_to_embeddings, save_embeddings_ds_to_parquet\n",
    "from efficientnet.tfkeras import EfficientNetB0\n",
    "import tensorflow as tf\n",
    "import numpy as np\n",
    "import time\n",
    "\n",
    "\n",
    "def _int64_feature(value):\n",
    "    \"\"\"Returns an int64_list from a bool / enum / int / uint.\"\"\"\n",
    "    return tf.train.Feature(int64_list=tf.train.Int64List(value=[value]))\n",
    "\n",
    "\n",
    "def _bytes_feature(value):\n",
    "    \"\"\"Returns a bytes_list from a string / byte.\"\"\"\n",
    "    if isinstance(value, type(tf.constant(0))):\n",
    "        value = value.numpy()  # BytesList won't unpack a string from an EagerTensor.\n",
    "    return tf.train.Feature(bytes_list=tf.train.BytesList(value=[value]))\n",
    "\n",
    "\n",
    "def serialize_example(image, image_name):\n",
    "    feature = {\n",
    "        'image_name': _bytes_feature(image_name),\n",
    "        'image': _bytes_feature(image)\n",
    "    }\n",
    "\n",
    "    example_proto = tf.train.Example(features=tf.train.Features(feature=feature))\n",
    "    return example_proto.SerializeToString()\n",
    "\n",
    "\n",
    "def tf_serialize_example(image, image_name):\n",
    "    tf_string = tf.py_function(\n",
    "        serialize_example,\n",
    "        (image, image_name),\n",
    "        tf.string)\n",
    "    return tf.reshape(tf_string, ())\n",
    "\n",
    "\n",
    "def process_path(file_path):\n",
    "    parts = tf.strings.split(file_path, '/')\n",
    "    image_name = tf.strings.split(parts[-1], '.')[0]\n",
    "    raw = tf.io.read_file(file_path)\n",
    "    return raw, image_name\n",
    "\n",
    "\n",
    "def read_image_file_write_tfrecord(files_ds, output_filename):\n",
    "    image_ds = files_ds.map(process_path, num_parallel_calls=tf.data.experimental.AUTOTUNE)\n",
    "    serialized_features_dataset = image_ds.map(tf_serialize_example, num_parallel_calls=tf.data.experimental.AUTOTUNE)\n",
    "    writer = tf.data.experimental.TFRecordWriter(output_filename)\n",
    "    writer.write(serialized_features_dataset)\n",
    "\n",
    "\n",
    "def image_files_to_tfrecords(list_ds, output_folder, num_shard):\n",
    "    start = time.time()\n",
    "    for shard_id in range(0, num_shard):\n",
    "        shard_list = list_ds.shard(num_shards=num_shard, index=shard_id)\n",
    "        read_image_file_write_tfrecord(shard_list, output_folder + \"/part-\" + \"{:03d}\".format(shard_id) + \".tfrecord\")\n",
    "        print(\"Shard \" + str(shard_id) + \" saved after \" + str(int(time.time() - start)) + \"s\")\n",
    "\n",
    "\n",
    "feature_description = {\n",
    "    'image_name': tf.io.FixedLenFeature([], tf.string),\n",
    "    'image': tf.io.FixedLenFeature([], tf.string)\n",
    "}\n",
    "\n",
    "\n",
    "def _parse_function(example_proto):\n",
    "    return tf.io.parse_single_example(example_proto, feature_description)\n",
    "\n",
    "\n",
    "def preprocess_image(d):\n",
    "    image_name = d['image_name']\n",
    "    raw = d['image']\n",
    "    image = tf.image.decode_jpeg(raw)\n",
    "    image = tf.image.convert_image_dtype(image, tf.float32)\n",
    "\n",
    "    return image, image_name\n",
    "\n",
    "\n",
    "def read_tfrecord(filename):\n",
    "    filenames = [filename]\n",
    "    raw_dataset = tf.data.TFRecordDataset(filenames)\n",
    "    return raw_dataset \\\n",
    "        .map(_parse_function, num_parallel_calls=tf.data.experimental.AUTOTUNE) \\\n",
    "        .map(preprocess_image, num_parallel_calls=tf.data.experimental.AUTOTUNE) \\\n",
    "        .apply(tf.data.experimental.ignore_errors())\n",
    "\n",
    "\n",
    "def tfrecords_to_write_embeddings(tfrecords_folder, output_folder, model, batch_size):\n",
    "    tfrecords = [f.numpy().decode(\"utf-8\") for f in \\\n",
    "                 tf.data.Dataset.list_files(tfrecords_folder + \"/*.tfrecord\", shuffle=False)]\n",
    "    start = time.time()\n",
    "    for shard_id, tfrecord in enumerate(tfrecords):\n",
    "        shard = read_tfrecord(tfrecord)\n",
    "        embeddings = images_to_embeddings(model, shard, batch_size)\n",
    "        print(\"\")\n",
    "        print(\"Shard \" + str(shard_id) + \" done after \" + str(int(time.time() - start)) + \"s\")\n",
    "        save_embeddings_ds_to_parquet(embeddings, shard,\n",
    "                                      output_folder + \"/part-\" + \"{:03d}\".format(shard_id) + \".parquet\")\n",
    "        print(\"Shard \" + str(shard_id) + \" saved after \" + str(int(time.time() - start)) + \"s\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 200,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "Pe3802Nc_B6p"
   },
   "outputs": [],
   "source": [
    "# from inference import list_files\n",
    "# from tfrecord_reader_writer import image_files_to_tfrecords\n",
    "\n",
    "def write_tfrecord(image_folder, output_folder, num_shards=100):\n",
    "    list_ds = list_files(image_folder)\n",
    "    image_files_to_tfrecords(list_ds, output_folder, num_shards)\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 201,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "3YvIN2LODV4R"
   },
   "outputs": [],
   "source": [
    "!rm -rf tfrecords\n",
    "!mkdir tfrecords"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "id": "eAKMhsWvC2dI",
    "outputId": "c836ba74-b911-4c07-8ef2-b30ed2f37f10"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Shard 0 saved after 0s\n"
     ]
    }
   ],
   "source": [
    "write_tfrecord(\"images\", \"tfrecords\", 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "id": "Ihj8rWd2DdS-",
    "outputId": "a40716d8-4f78-48f2-a26e-bee0780a2019"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "12M\ttfrecords\n"
     ]
    }
   ],
   "source": [
    "!du -h -s tfrecords"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "KEjbPVAzDx2r"
   },
   "outputs": [],
   "source": [
    "!rm -rf embeddings\n",
    "!mkdir embeddings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "L7Naa9HhDhEJ"
   },
   "outputs": [],
   "source": [
    "#from tfrecord_reader_writer import tfrecords_to_write_embeddings\n",
    "from efficientnet.tfkeras import EfficientNetB0\n",
    "\n",
    "\n",
    "def run_inference(tfrecords_folder, output_folder, batch_size=1000):\n",
    "    model = EfficientNetB0(weights='imagenet', include_top=False, pooling=\"avg\")\n",
    "    tfrecords_to_write_embeddings(tfrecords_folder, output_folder, model, batch_size)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 89
    },
    "colab_type": "code",
    "id": "6qqKYzk8DunN",
    "outputId": "e22c137b-8ab4-444c-a224-c6a13b0c86a0"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1/1 [==============================] - 0s 149ms/step\n",
      "\n",
      "Shard 0 done after 66s\n",
      "Shard 0 saved after 67s\n"
     ]
    }
   ],
   "source": [
    "run_inference(\"tfrecords\", \"embeddings\", 1000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "4cabk7d5R_2E"
   },
   "outputs": [],
   "source": [
    "emb = pq.read_table(\"embeddings\").to_pandas()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 419
    },
    "colab_type": "code",
    "id": "7YCzbR_mSVPU",
    "outputId": "a163bdef-cf89-4788-a7cc-6313a1cefd19"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>image_name</th>\n",
       "      <th>embedding</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>b'image_daisy_13'</td>\n",
       "      <td>[-0.098760575, -0.122217394, -0.18710428, -0.1...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>b'image_daisy_15'</td>\n",
       "      <td>[-0.13827726, -0.14196308, -0.15896742, -0.136...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>b'image_daisy_16'</td>\n",
       "      <td>[-0.10091114, 0.16872205, -0.16353016, -0.1254...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>b'image_daisy_24'</td>\n",
       "      <td>[0.37878612, 0.53823364, -0.08176956, -0.15575...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>b'image_daisy_25'</td>\n",
       "      <td>[-0.070991196, -0.10239971, 0.14434339, -0.100...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>b'image_tulips_82'</td>\n",
       "      <td>[-0.13556243, -0.10779267, -0.09632701, -0.223...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>b'image_tulips_83'</td>\n",
       "      <td>[-0.12321091, -0.13933122, -0.044730842, -0.17...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>b'image_tulips_86'</td>\n",
       "      <td>[-0.121702425, -0.20314246, 0.0074746073, -0.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>b'image_tulips_94'</td>\n",
       "      <td>[-0.0017160092, -0.14209984, -0.120488204, -0....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>b'image_tulips_98'</td>\n",
       "      <td>[0.16250946, 0.3027556, -0.16418935, -0.176059...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            image_name                                          embedding\n",
       "0    b'image_daisy_13'  [-0.098760575, -0.122217394, -0.18710428, -0.1...\n",
       "1    b'image_daisy_15'  [-0.13827726, -0.14196308, -0.15896742, -0.136...\n",
       "2    b'image_daisy_16'  [-0.10091114, 0.16872205, -0.16353016, -0.1254...\n",
       "3    b'image_daisy_24'  [0.37878612, 0.53823364, -0.08176956, -0.15575...\n",
       "4    b'image_daisy_25'  [-0.070991196, -0.10239971, 0.14434339, -0.100...\n",
       "..                 ...                                                ...\n",
       "95  b'image_tulips_82'  [-0.13556243, -0.10779267, -0.09632701, -0.223...\n",
       "96  b'image_tulips_83'  [-0.12321091, -0.13933122, -0.044730842, -0.17...\n",
       "97  b'image_tulips_86'  [-0.121702425, -0.20314246, 0.0074746073, -0.0...\n",
       "98  b'image_tulips_94'  [-0.0017160092, -0.14209984, -0.120488204, -0....\n",
       "99  b'image_tulips_98'  [0.16250946, 0.3027556, -0.16418935, -0.176059...\n",
       "\n",
       "[100 rows x 2 columns]"
      ]
     },
     "execution_count": 83,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 216,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "id": "zJFRajhxgpzO",
    "outputId": "d5fa4653-ca5c-49a6-8bab-0869b8cd1b60"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5.5M\tembeddings\n"
     ]
    }
   ],
   "source": [
    "!du -hs embeddings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 143
    },
    "colab_type": "code",
    "id": "OfutL6FxTmWs",
    "outputId": "21cbdd29-331d-4313-d6e1-15b3647deef1"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting faiss_cpu\n",
      "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/4a/db/0e14a82c4664e9b37b59cf7bcfc5293ab6b50b22629225010b767c8746bf/faiss_cpu-1.6.3-cp36-cp36m-manylinux1_x86_64.whl (6.8MB)\n",
      "\u001b[K    100% |████████████████████████████████| 6.8MB 5.9MB/s \n",
      "\u001b[?25hRequirement already satisfied: numpy in /usr/local/lib/python3.6/site-packages (from faiss_cpu) (1.14.3)\n",
      "\u001b[31mdistributed 1.21.8 requires msgpack, which is not installed.\u001b[0m\n",
      "Installing collected packages: faiss-cpu\n",
      "Successfully installed faiss-cpu-1.6.3\n"
     ]
    }
   ],
   "source": [
    "!pip install faiss_cpu"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 208,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "G3KfLEzaVvn5"
   },
   "outputs": [],
   "source": [
    "id_to_name = {k:v.decode(\"utf-8\") for k,v in enumerate(list(emb[\"image_name\"]))}\n",
    "name_to_id = {v:k for k,v in id_to_name.items()}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "cLkCe9BmTtX3"
   },
   "outputs": [],
   "source": [
    "embgood = np.stack(emb[\"embedding\"].to_numpy())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 210,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 251
    },
    "colab_type": "code",
    "id": "3RZi2yckUNzn",
    "outputId": "a5d2e3dc-e595-4907-9ec0-946da141e840"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[-0.03543991, -0.15163243, -0.13496652, ...,  0.01907586,\n",
       "        -0.13296674,  0.5373452 ],\n",
       "       [-0.15745671, -0.12783383, -0.17943217, ...,  0.31156987,\n",
       "        -0.11525813,  0.4480593 ],\n",
       "       [-0.1792364 , -0.12422188, -0.16109551, ...,  0.00203623,\n",
       "        -0.20498396,  0.19341025],\n",
       "       ...,\n",
       "       [-0.09315211, -0.19348016, -0.11206696, ..., -0.17900732,\n",
       "        -0.13366303,  0.84888387],\n",
       "       [-0.14543465, -0.1455583 , -0.15405498, ..., -0.16430707,\n",
       "        -0.00788436,  0.3793269 ],\n",
       "       [-0.13419451, -0.10744577, -0.12787189, ..., -0.13693443,\n",
       "        -0.07209311,  0.21788447]], dtype=float32)"
      ]
     },
     "execution_count": 210,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "embgood"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "id": "lbFIA3GkYfIV",
    "outputId": "5d45a419-d06a-424f-dadb-49ae5ee20add"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[31mdistributed 1.21.8 requires msgpack, which is not installed.\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "!pip install -q ipyplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 231,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "eeLnzzD6UPki"
   },
   "outputs": [],
   "source": [
    "import faiss\n",
    "d = 1280\n",
    "xb = embgood\n",
    "index = faiss.IndexFlatIP(d)\n",
    "index.add(xb)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 212,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "AhddlcdgUi43"
   },
   "outputs": [],
   "source": [
    "def search(emb, k=5):\n",
    "  D, I = index.search(np.expand_dims(emb, 0), k)     # actual search\n",
    "  return list(zip(D[0], [id_to_name[x] for x in I[0]]))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 252,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "fvPeDMrHXUB0"
   },
   "outputs": [],
   "source": [
    "from IPython.display import Image, display\n",
    "from ipywidgets import widgets, HBox, VBox\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.image as mpimg\n",
    "\n",
    "%matplotlib inline\n",
    "\n",
    "def display_picture(image_name):\n",
    "  display(Image(filename=f\"images/{image_name}.jpeg\"))\n",
    "\n",
    "def display_results(results):\n",
    "  hbox = HBox([VBox([widgets.Label(f\"{distance:.2f} {image_name}\"), widgets.Image(value=open(f\"images/{image_name}.jpeg\", 'rb').read())]) for distance, image_name in results])\n",
    "  display(hbox)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 253,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 519,
     "referenced_widgets": [
      "96a736f2da224dddacdc7609636a2842",
      "203c29508dfa4875b58dd48e117d356b",
      "5132b8896a8040bf81bbcddb96862a24",
      "2497bffc0e6e4fb9920fc0c46cfb1bcf",
      "bffac0b0ad374bddab5f01629c836ccb",
      "d3baefc722f541a7a561761513d6bc5d",
      "f874e099f9504bad95ecfe4f8b16fcce",
      "3f1b44811b7c4cf88ac2dafcf1068225",
      "c597a962a9b7496995f1f01ae34521df",
      "368c9c6d30fd49a286b1393e72bd9e45",
      "521b0c663b51481bbbd6a4b0234ffaa4",
      "aca4e14a9fa0468ca616f17cd5b56941",
      "ac4319dbd2c642cb8b9564a5dd0d561c",
      "20967ec829964730ae4b942e823e78f3",
      "e5ce30458fcf4bb180f340958b3d5de3",
      "66da4ec79d204498a9bfea6e473d3be6",
      "ad444b8307be44c3b0706d8b17534579",
      "b4403f45f9774c71bfbb4709eecc6437",
      "2bf471a0d8024b3299fb2efa87ae9895",
      "b4866c2c2a8a4b7cb015605318729810",
      "58fdad7cf3384d5191b6e768843e3d08",
      "3dc3ac785e8b4b5388bcbbf4ec61a303",
      "b12ad28b501742da923754efd158eb52",
      "2f24af93af3341b091f06c708b65f322",
      "4d9fae130c8c495793d49e7523d8ec56",
      "119f6f48731441d4a05623fc986d0016",
      "eead7587935544d0a353cec9902cff9f",
      "81dae7f984924809841b4f52f2337587",
      "4489ecc2d320481fa98d9ff656d936c0",
      "95630b47f66a495691b3708f2810a995",
      "4b04af4de06d4771ba9592046dc12b78",
      "5392ecbfab294278bded5c4024d2c0c4",
      "3cb7ba662f5b410d935b9b916748aa23",
      "e2bee6d03507439280635243d7b8e12e",
      "cfbee4d928a34a52930a8a0e08add506",
      "0ca003118d3a41b5b6206e1d38751c0b",
      "132c61e302b0456696cdc2fb0664f660"
     ]
    },
    "colab_type": "code",
    "id": "aN2rw9tcWnUS",
    "outputId": "5b751f83-c70b-47ef-a514-adee053874c9"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "image_daisy_677\n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "96a736f2da224dddacdc7609636a2842",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(VBox(children=(Label(value='162.80 image_daisy_677'), Image(value=b'\\xff\\xd8\\xff\\xe0\\x00\\x10JFI…"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(id_to_name[p])\n",
    "display_picture(id_to_name[p])\n",
    "display_results(search(xb[p]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 255,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 501,
     "referenced_widgets": [
      "0c32b8c78ffd4c688213906592e52a21",
      "4ab3adcb8fe240b2ae8e39efd8fd597c",
      "8926ee9b40e842f0b80bf38088daa100",
      "4d9fe8fbbc8b47d295172e82a969ff86",
      "2ca76e96855c42849cf93b33687e6c28",
      "304c9ef884f24593bd58b63ced1c170c",
      "28b4115bb4ec4a8690db421d0f98b0f1",
      "6f7977bb56f24775bf76c88d34f69583",
      "d3bac65b8f26472db306b6d75b245605",
      "e658475c72f74b75a1ca2c9a573477cb",
      "2dac5ac13d2f4e9b96e261b6d70ac2dd",
      "c318a5b5fb2c4010981187384f2ea18b",
      "1c8887c6b9564f77b87b696b6c464673",
      "eeb62b37701d4e3e967f351dd9317988",
      "ee797aef94734dfcbc7fd2c59c7aeb49",
      "7080ad613e4f47318a7f129c6b496f84",
      "ebe6ac2ed3f74f01875fbe13064d0ecf",
      "7e5d2518111244a187bddd7fa5522e81",
      "aba18e42622a4238abf18e181893cf84",
      "67e0e0343f754f198170c2898afb55f5",
      "130b79c605f5452fb3e372876146735b",
      "8afd793561a74a49bc6b530575996d2f",
      "adb0cb751f09478e9e8609abb30f271a",
      "f9edf5a194444e19a8765714e0fa472a",
      "8bc02fcc8ef0490fa63a0f375694c779",
      "8eae67172bce49ceadc044fc215b7c61",
      "111b1ec544494a488365668d3eecc5cb",
      "a2e61c6fbc2744ac869b34ef5686b9f4",
      "34f7e55afeb34536aca61c8faa989640",
      "c46a9857c7764764a8ff6ace701ea4a9",
      "d1ebc2817d4a42ddab937c51fecce61d",
      "72996263945e46dcbfdf9d4d174d08f2",
      "8bc1c9322dd94f99a26e173d57f2b59f",
      "51a0a99f7577447191a6d1c15088b95d",
      "12b8d4d684014b82a8fc52e7ccb71e5e",
      "52ab7be9ef8847aabda8eb30d422b35c",
      "1f21bbf4a83a40fa8a6ef3b706b6f185"
     ]
    },
    "colab_type": "code",
    "id": "I_Fx6UOMgWH7",
    "outputId": "ef02b3ab-e71a-46b8-b65a-175fe338d5b7"
   },
   "outputs": [
    {
     "data": {
      "image/jpeg": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "0c32b8c78ffd4c688213906592e52a21",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(VBox(children=(Label(value='228.46 image_roses_363'), Image(value=b'\\xff\\xd8\\xff\\xe0\\x00\\x10JFI…"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p = \"image_roses_363\"\n",
    "display_picture(p)\n",
    "display_results(search(xb[name_to_id[p]]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 256,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 501,
     "referenced_widgets": [
      "3730b05bfe7c4b71aeb54bce71802cbb",
      "0dc93860c8df43759f72eabd1e325f6e",
      "05525d5f063d45aebb3daa4aa6374def",
      "76a89f9a53a74acd9de864b876e5045b",
      "a4a9f8f60f29460c8f9ad2dd7bec9a3e",
      "7c712e160748470789315c0dc58eeafd",
      "74b4e277fa254989bc72dd0f04d1a990",
      "889b0e58473f44f58593b81821eeda83",
      "6ccb7c818aab4779a4424d89fdda6864",
      "9e2219088fe04d669d3c0083dce245b0",
      "4d754471c35a48e29c36742c041ebbf9",
      "0b32405687b045758e2230964fb707b0",
      "ddd3e4ce30e74483867ec08208ae752a",
      "c3d52268ef79410986620dc948f8108d",
      "c68781f8fcb4489fa4f23cf645624ddb",
      "20b2f811219a427bbd8e55615cd2109a",
      "d35cef8b163b428dbe5f93a71da178b0",
      "1d604028b9fb4d09af394134b0cd5fbc",
      "e2109da30d234073b128ef27448af629",
      "b1888df44ad9430b99527d29f54f562b",
      "59d95194222440edb8d7f06fc38e79c1",
      "311bfef6e1ed4c128375bf9c504d5f99",
      "78a1d240e2db475d9d236878ba347757",
      "ca5d8b1d11704e079659c4c5809efc35",
      "012ff550585d45b09b49a74e30228c35",
      "09fa104d89fa4e3a83f4add249200152",
      "d72847c2a65d435284bf775c475b5ef9",
      "005626c5344740e69f9edc1b3b12a3ce",
      "dc7dd844989f419489d5c291cbc19b6a",
      "31badb6a787c47e6ba805fe642c70426",
      "8873d5cd48374a4cb2f60a07142cdbed",
      "7fb017d5fdf441208794fb8a47e983d1",
      "29c6579ef4b6488d92e5db24bf23257a",
      "180c753ed7fd4430ae0edf158d2da0c8",
      "dddf683e0a5d4a8489764241e403a7e5",
      "25463abc04b74bf98ba0ed3c2b4db5a0",
      "94cba29e4cdf4b5598a88bd46b8edebb"
     ]
    },
    "colab_type": "code",
    "id": "kqpiC2tdh5Wb",
    "outputId": "e3c598b5-db04-4e8f-920b-125a012d2531"
   },
   "outputs": [
    {
     "data": {
      "image/jpeg": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "3730b05bfe7c4b71aeb54bce71802cbb",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(VBox(children=(Label(value='179.44 image_tulips_372'), Image(value=b'\\xff\\xd8\\xff\\xe0\\x00\\x10JF…"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p = \"image_tulips_372\"\n",
    "display_picture(p)\n",
    "display_results(search(xb[name_to_id[p]]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 224,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 55
    },
    "colab_type": "code",
    "id": "QAdC2ixVh98F",
    "outputId": "160d4c73-220c-4073-b339-390220dee46a"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['image_daisy_102', 'image_daisy_104', 'image_daisy_114', 'image_daisy_121', 'image_daisy_126', 'image_daisy_128', 'image_daisy_129', 'image_daisy_13', 'image_daisy_131', 'image_daisy_140', 'image_daisy_15', 'image_daisy_151', 'image_daisy_158', 'image_daisy_16', 'image_daisy_170', 'image_daisy_178', 'image_daisy_183', 'image_daisy_184', 'image_daisy_190', 'image_daisy_192', 'image_daisy_218', 'image_daisy_235', 'image_daisy_237', 'image_daisy_24', 'image_daisy_240', 'image_daisy_25', 'image_daisy_250', 'image_daisy_252', 'image_daisy_253', 'image_daisy_254', 'image_daisy_255', 'image_daisy_26', 'image_daisy_266', 'image_daisy_269', 'image_daisy_273', 'image_daisy_276', 'image_daisy_284', 'image_daisy_287', 'image_daisy_288', 'image_daisy_302', 'image_daisy_310', 'image_daisy_311', 'image_daisy_312', 'image_daisy_318', 'image_daisy_325', 'image_daisy_326', 'image_daisy_329', 'image_daisy_333', 'image_daisy_335', 'image_daisy_360', 'image_daisy_387', 'image_daisy_396', 'image_daisy_398', 'image_daisy_416', 'image_daisy_418', 'image_daisy_422', 'image_daisy_427', 'image_daisy_43', 'image_daisy_432', 'image_daisy_434', 'image_daisy_438', 'image_daisy_439', 'image_daisy_44', 'image_daisy_441', 'image_daisy_448', 'image_daisy_45', 'image_daisy_452', 'image_daisy_455', 'image_daisy_463', 'image_daisy_47', 'image_daisy_470', 'image_daisy_472', 'image_daisy_484', 'image_daisy_486', 'image_daisy_496', 'image_daisy_503', 'image_daisy_508', 'image_daisy_512', 'image_daisy_534', 'image_daisy_548', 'image_daisy_565', 'image_daisy_567', 'image_daisy_587', 'image_daisy_593', 'image_daisy_594', 'image_daisy_597', 'image_daisy_599', 'image_daisy_60', 'image_daisy_603', 'image_daisy_607', 'image_daisy_615', 'image_daisy_628', 'image_daisy_648', 'image_daisy_66', 'image_daisy_662', 'image_daisy_665', 'image_daisy_67', 'image_daisy_672', 'image_daisy_674', 'image_daisy_677', 'image_daisy_678', 'image_daisy_680', 'image_daisy_690', 'image_daisy_706', 'image_daisy_709', 'image_daisy_710', 'image_daisy_714', 'image_daisy_721', 'image_daisy_725', 'image_daisy_744', 'image_daisy_747', 'image_daisy_751', 'image_daisy_758', 'image_daisy_766', 'image_daisy_771', 'image_daisy_778', 'image_daisy_790', 'image_daisy_793', 'image_daisy_796', 'image_daisy_799', 'image_daisy_806', 'image_daisy_809', 'image_daisy_819', 'image_daisy_825', 'image_daisy_828', 'image_daisy_832', 'image_daisy_833', 'image_daisy_834', 'image_daisy_84', 'image_daisy_845', 'image_daisy_869', 'image_daisy_874', 'image_daisy_880', 'image_daisy_884', 'image_daisy_890', 'image_daisy_897', 'image_daisy_9', 'image_daisy_903', 'image_daisy_906', 'image_daisy_919', 'image_daisy_92', 'image_daisy_922', 'image_daisy_928', 'image_daisy_930', 'image_daisy_934', 'image_daisy_937', 'image_daisy_942', 'image_daisy_947', 'image_daisy_957', 'image_daisy_960', 'image_daisy_969', 'image_daisy_97', 'image_daisy_976', 'image_daisy_979', 'image_daisy_99', 'image_daisy_994', 'image_daisy_995', 'image_daisy_998', 'image_dandelion_101', 'image_dandelion_105', 'image_dandelion_108', 'image_dandelion_109', 'image_dandelion_111', 'image_dandelion_115', 'image_dandelion_117', 'image_dandelion_119', 'image_dandelion_130', 'image_dandelion_136', 'image_dandelion_141', 'image_dandelion_146', 'image_dandelion_156', 'image_dandelion_157', 'image_dandelion_160', 'image_dandelion_161', 'image_dandelion_164', 'image_dandelion_168', 'image_dandelion_172', 'image_dandelion_176', 'image_dandelion_180', 'image_dandelion_182', 'image_dandelion_187', 'image_dandelion_191', 'image_dandelion_194', 'image_dandelion_199', 'image_dandelion_204', 'image_dandelion_205', 'image_dandelion_21', 'image_dandelion_231', 'image_dandelion_234', 'image_dandelion_243', 'image_dandelion_248', 'image_dandelion_249', 'image_dandelion_256', 'image_dandelion_258', 'image_dandelion_262', 'image_dandelion_264', 'image_dandelion_265', 'image_dandelion_268', 'image_dandelion_275', 'image_dandelion_277', 'image_dandelion_278', 'image_dandelion_283', 'image_dandelion_285', 'image_dandelion_291', 'image_dandelion_295', 'image_dandelion_297', 'image_dandelion_299', 'image_dandelion_303', 'image_dandelion_304', 'image_dandelion_305', 'image_dandelion_307', 'image_dandelion_314', 'image_dandelion_315', 'image_dandelion_322', 'image_dandelion_323', 'image_dandelion_324', 'image_dandelion_327', 'image_dandelion_334', 'image_dandelion_337', 'image_dandelion_338', 'image_dandelion_344', 'image_dandelion_345', 'image_dandelion_355', 'image_dandelion_356', 'image_dandelion_36', 'image_dandelion_361', 'image_dandelion_362', 'image_dandelion_366', 'image_dandelion_37', 'image_dandelion_370', 'image_dandelion_373', 'image_dandelion_376', 'image_dandelion_377', 'image_dandelion_38', 'image_dandelion_381', 'image_dandelion_383', 'image_dandelion_385', 'image_dandelion_386', 'image_dandelion_390', 'image_dandelion_395', 'image_dandelion_399', 'image_dandelion_40', 'image_dandelion_404', 'image_dandelion_406', 'image_dandelion_412', 'image_dandelion_413', 'image_dandelion_415', 'image_dandelion_42', 'image_dandelion_423', 'image_dandelion_428', 'image_dandelion_429', 'image_dandelion_440', 'image_dandelion_443', 'image_dandelion_446', 'image_dandelion_449', 'image_dandelion_457', 'image_dandelion_458', 'image_dandelion_462', 'image_dandelion_464', 'image_dandelion_465', 'image_dandelion_468', 'image_dandelion_475', 'image_dandelion_479', 'image_dandelion_482', 'image_dandelion_485', 'image_dandelion_489', 'image_dandelion_494', 'image_dandelion_497', 'image_dandelion_498', 'image_dandelion_499', 'image_dandelion_5', 'image_dandelion_500', 'image_dandelion_504', 'image_dandelion_51', 'image_dandelion_510', 'image_dandelion_511', 'image_dandelion_52', 'image_dandelion_520', 'image_dandelion_521', 'image_dandelion_522', 'image_dandelion_525', 'image_dandelion_532', 'image_dandelion_535', 'image_dandelion_536', 'image_dandelion_539', 'image_dandelion_546', 'image_dandelion_555', 'image_dandelion_563', 'image_dandelion_564', 'image_dandelion_569', 'image_dandelion_570', 'image_dandelion_571', 'image_dandelion_575', 'image_dandelion_582', 'image_dandelion_583', 'image_dandelion_585', 'image_dandelion_588', 'image_dandelion_589', 'image_dandelion_6', 'image_dandelion_602', 'image_dandelion_608', 'image_dandelion_609', 'image_dandelion_610', 'image_dandelion_612', 'image_dandelion_617', 'image_dandelion_621', 'image_dandelion_631', 'image_dandelion_633', 'image_dandelion_634', 'image_dandelion_635', 'image_dandelion_636', 'image_dandelion_639', 'image_dandelion_64', 'image_dandelion_642', 'image_dandelion_643', 'image_dandelion_644', 'image_dandelion_645', 'image_dandelion_647', 'image_dandelion_649', 'image_dandelion_65', 'image_dandelion_651', 'image_dandelion_652', 'image_dandelion_654', 'image_dandelion_655', 'image_dandelion_656', 'image_dandelion_664', 'image_dandelion_666', 'image_dandelion_667', 'image_dandelion_668', 'image_dandelion_673', 'image_dandelion_675', 'image_dandelion_68', 'image_dandelion_684', 'image_dandelion_692', 'image_dandelion_693', 'image_dandelion_699', 'image_dandelion_7', 'image_dandelion_70', 'image_dandelion_704', 'image_dandelion_705', 'image_dandelion_711', 'image_dandelion_713', 'image_dandelion_716', 'image_dandelion_719', 'image_dandelion_723', 'image_dandelion_728', 'image_dandelion_729', 'image_dandelion_734', 'image_dandelion_736', 'image_dandelion_737', 'image_dandelion_738', 'image_dandelion_739', 'image_dandelion_74', 'image_dandelion_741', 'image_dandelion_746', 'image_dandelion_749', 'image_dandelion_752', 'image_dandelion_755', 'image_dandelion_759', 'image_dandelion_763', 'image_dandelion_768', 'image_dandelion_769', 'image_dandelion_770', 'image_dandelion_773', 'image_dandelion_779', 'image_dandelion_782', 'image_dandelion_785', 'image_dandelion_786', 'image_dandelion_788', 'image_dandelion_791', 'image_dandelion_792', 'image_dandelion_795', 'image_dandelion_8', 'image_dandelion_801', 'image_dandelion_805', 'image_dandelion_81', 'image_dandelion_810', 'image_dandelion_815', 'image_dandelion_820', 'image_dandelion_823', 'image_dandelion_835', 'image_dandelion_840', 'image_dandelion_847', 'image_dandelion_851', 'image_dandelion_858', 'image_dandelion_864', 'image_dandelion_868', 'image_dandelion_87', 'image_dandelion_875', 'image_dandelion_877', 'image_dandelion_879', 'image_dandelion_886', 'image_dandelion_892', 'image_dandelion_895', 'image_dandelion_900', 'image_dandelion_901', 'image_dandelion_904', 'image_dandelion_905', 'image_dandelion_910', 'image_dandelion_912', 'image_dandelion_913', 'image_dandelion_917', 'image_dandelion_920', 'image_dandelion_925', 'image_dandelion_926', 'image_dandelion_929', 'image_dandelion_932', 'image_dandelion_933', 'image_dandelion_935', 'image_dandelion_940', 'image_dandelion_950', 'image_dandelion_951', 'image_dandelion_952', 'image_dandelion_96', 'image_dandelion_963', 'image_dandelion_965', 'image_dandelion_968', 'image_dandelion_970', 'image_dandelion_977', 'image_dandelion_980', 'image_dandelion_981', 'image_dandelion_983', 'image_dandelion_985', 'image_dandelion_988', 'image_dandelion_997', 'image_roses_103', 'image_roses_110', 'image_roses_112', 'image_roses_113', 'image_roses_118', 'image_roses_12', 'image_roses_122', 'image_roses_133', 'image_roses_144', 'image_roses_148', 'image_roses_153', 'image_roses_162', 'image_roses_171', 'image_roses_193', 'image_roses_195', 'image_roses_196', 'image_roses_197', 'image_roses_198', 'image_roses_200', 'image_roses_203', 'image_roses_206', 'image_roses_207', 'image_roses_212', 'image_roses_213', 'image_roses_214', 'image_roses_219', 'image_roses_221', 'image_roses_224', 'image_roses_227', 'image_roses_228', 'image_roses_238', 'image_roses_244', 'image_roses_247', 'image_roses_251', 'image_roses_261', 'image_roses_28', 'image_roses_282', 'image_roses_294', 'image_roses_296', 'image_roses_298', 'image_roses_3', 'image_roses_321', 'image_roses_328', 'image_roses_33', 'image_roses_330', 'image_roses_331', 'image_roses_336', 'image_roses_342', 'image_roses_343', 'image_roses_354', 'image_roses_359', 'image_roses_363', 'image_roses_364', 'image_roses_368', 'image_roses_380', 'image_roses_384', 'image_roses_394', 'image_roses_397', 'image_roses_400', 'image_roses_401', 'image_roses_403', 'image_roses_411', 'image_roses_424', 'image_roses_426', 'image_roses_430', 'image_roses_453', 'image_roses_461', 'image_roses_469', 'image_roses_474', 'image_roses_476', 'image_roses_477', 'image_roses_481', 'image_roses_488', 'image_roses_49', 'image_roses_490', 'image_roses_491', 'image_roses_495', 'image_roses_50', 'image_roses_505', 'image_roses_515', 'image_roses_524', 'image_roses_528', 'image_roses_537', 'image_roses_538', 'image_roses_540', 'image_roses_542', 'image_roses_549', 'image_roses_558', 'image_roses_559', 'image_roses_560', 'image_roses_562', 'image_roses_574', 'image_roses_576', 'image_roses_577', 'image_roses_58', 'image_roses_586', 'image_roses_59', 'image_roses_590', 'image_roses_600', 'image_roses_601', 'image_roses_61', 'image_roses_611', 'image_roses_614', 'image_roses_623', 'image_roses_627', 'image_roses_632', 'image_roses_640', 'image_roses_646', 'image_roses_657', 'image_roses_659', 'image_roses_663', 'image_roses_671', 'image_roses_676', 'image_roses_681', 'image_roses_683', 'image_roses_687', 'image_roses_688', 'image_roses_691', 'image_roses_694', 'image_roses_707', 'image_roses_71', 'image_roses_712', 'image_roses_72', 'image_roses_720', 'image_roses_722', 'image_roses_726', 'image_roses_733', 'image_roses_740', 'image_roses_745', 'image_roses_748', 'image_roses_75', 'image_roses_750', 'image_roses_753', 'image_roses_754', 'image_roses_756', 'image_roses_764', 'image_roses_765', 'image_roses_767', 'image_roses_775', 'image_roses_777', 'image_roses_79', 'image_roses_80', 'image_roses_803', 'image_roses_807', 'image_roses_808', 'image_roses_817', 'image_roses_818', 'image_roses_821', 'image_roses_822', 'image_roses_829', 'image_roses_830', 'image_roses_839', 'image_roses_841', 'image_roses_842', 'image_roses_844', 'image_roses_846', 'image_roses_848', 'image_roses_859', 'image_roses_861', 'image_roses_865', 'image_roses_866', 'image_roses_871', 'image_roses_872', 'image_roses_887', 'image_roses_89', 'image_roses_894', 'image_roses_898', 'image_roses_899', 'image_roses_902', 'image_roses_907', 'image_roses_909', 'image_roses_91', 'image_roses_921', 'image_roses_927', 'image_roses_93', 'image_roses_943', 'image_roses_946', 'image_roses_953', 'image_roses_959', 'image_roses_986', 'image_roses_992', 'image_sunflowers_1', 'image_sunflowers_10', 'image_sunflowers_100', 'image_sunflowers_107', 'image_sunflowers_116', 'image_sunflowers_120', 'image_sunflowers_134', 'image_sunflowers_135', 'image_sunflowers_137', 'image_sunflowers_142', 'image_sunflowers_147', 'image_sunflowers_149', 'image_sunflowers_150', 'image_sunflowers_152', 'image_sunflowers_159', 'image_sunflowers_163', 'image_sunflowers_165', 'image_sunflowers_166', 'image_sunflowers_173', 'image_sunflowers_174', 'image_sunflowers_175', 'image_sunflowers_179', 'image_sunflowers_18', 'image_sunflowers_181', 'image_sunflowers_188', 'image_sunflowers_189', 'image_sunflowers_19', 'image_sunflowers_2', 'image_sunflowers_20', 'image_sunflowers_202', 'image_sunflowers_211', 'image_sunflowers_215', 'image_sunflowers_216', 'image_sunflowers_22', 'image_sunflowers_220', 'image_sunflowers_222', 'image_sunflowers_229', 'image_sunflowers_230', 'image_sunflowers_232', 'image_sunflowers_239', 'image_sunflowers_263', 'image_sunflowers_27', 'image_sunflowers_271', 'image_sunflowers_272', 'image_sunflowers_274', 'image_sunflowers_279', 'image_sunflowers_280', 'image_sunflowers_292', 'image_sunflowers_293', 'image_sunflowers_308', 'image_sunflowers_31', 'image_sunflowers_313', 'image_sunflowers_332', 'image_sunflowers_339', 'image_sunflowers_341', 'image_sunflowers_348', 'image_sunflowers_350', 'image_sunflowers_351', 'image_sunflowers_353', 'image_sunflowers_357', 'image_sunflowers_367', 'image_sunflowers_369', 'image_sunflowers_371', 'image_sunflowers_374', 'image_sunflowers_378', 'image_sunflowers_382', 'image_sunflowers_388', 'image_sunflowers_393', 'image_sunflowers_4', 'image_sunflowers_402', 'image_sunflowers_408', 'image_sunflowers_409', 'image_sunflowers_41', 'image_sunflowers_414', 'image_sunflowers_433', 'image_sunflowers_436', 'image_sunflowers_437', 'image_sunflowers_447', 'image_sunflowers_450', 'image_sunflowers_454', 'image_sunflowers_456', 'image_sunflowers_460', 'image_sunflowers_467', 'image_sunflowers_473', 'image_sunflowers_478', 'image_sunflowers_48', 'image_sunflowers_483', 'image_sunflowers_493', 'image_sunflowers_501', 'image_sunflowers_518', 'image_sunflowers_519', 'image_sunflowers_529', 'image_sunflowers_530', 'image_sunflowers_54', 'image_sunflowers_541', 'image_sunflowers_543', 'image_sunflowers_547', 'image_sunflowers_551', 'image_sunflowers_552', 'image_sunflowers_553', 'image_sunflowers_556', 'image_sunflowers_557', 'image_sunflowers_561', 'image_sunflowers_566', 'image_sunflowers_57', 'image_sunflowers_572', 'image_sunflowers_579', 'image_sunflowers_580', 'image_sunflowers_581', 'image_sunflowers_591', 'image_sunflowers_605', 'image_sunflowers_606', 'image_sunflowers_616', 'image_sunflowers_619', 'image_sunflowers_620', 'image_sunflowers_626', 'image_sunflowers_629', 'image_sunflowers_637', 'image_sunflowers_660', 'image_sunflowers_670', 'image_sunflowers_679', 'image_sunflowers_685', 'image_sunflowers_686', 'image_sunflowers_69', 'image_sunflowers_696', 'image_sunflowers_700', 'image_sunflowers_703', 'image_sunflowers_708', 'image_sunflowers_717', 'image_sunflowers_718', 'image_sunflowers_727', 'image_sunflowers_73', 'image_sunflowers_735', 'image_sunflowers_743', 'image_sunflowers_757', 'image_sunflowers_76', 'image_sunflowers_760', 'image_sunflowers_77', 'image_sunflowers_774', 'image_sunflowers_780', 'image_sunflowers_781', 'image_sunflowers_797', 'image_sunflowers_798', 'image_sunflowers_800', 'image_sunflowers_802', 'image_sunflowers_804', 'image_sunflowers_811', 'image_sunflowers_812', 'image_sunflowers_827', 'image_sunflowers_849', 'image_sunflowers_85', 'image_sunflowers_850', 'image_sunflowers_852', 'image_sunflowers_854', 'image_sunflowers_855', 'image_sunflowers_857', 'image_sunflowers_860', 'image_sunflowers_863', 'image_sunflowers_870', 'image_sunflowers_88', 'image_sunflowers_881', 'image_sunflowers_885', 'image_sunflowers_888', 'image_sunflowers_891', 'image_sunflowers_893', 'image_sunflowers_90', 'image_sunflowers_911', 'image_sunflowers_915', 'image_sunflowers_918', 'image_sunflowers_924', 'image_sunflowers_931', 'image_sunflowers_95', 'image_sunflowers_954', 'image_sunflowers_955', 'image_sunflowers_956', 'image_sunflowers_961', 'image_sunflowers_962', 'image_sunflowers_964', 'image_sunflowers_966', 'image_sunflowers_972', 'image_sunflowers_973', 'image_sunflowers_978', 'image_sunflowers_982', 'image_sunflowers_990', 'image_sunflowers_991', 'image_sunflowers_999', 'image_tulips_0', 'image_tulips_106', 'image_tulips_11', 'image_tulips_123', 'image_tulips_124', 'image_tulips_125', 'image_tulips_127', 'image_tulips_132', 'image_tulips_138', 'image_tulips_139', 'image_tulips_14', 'image_tulips_143', 'image_tulips_145', 'image_tulips_154', 'image_tulips_155', 'image_tulips_167', 'image_tulips_169', 'image_tulips_17', 'image_tulips_177', 'image_tulips_185', 'image_tulips_186', 'image_tulips_201', 'image_tulips_208', 'image_tulips_209', 'image_tulips_210', 'image_tulips_217', 'image_tulips_223', 'image_tulips_225', 'image_tulips_226', 'image_tulips_23', 'image_tulips_233', 'image_tulips_236', 'image_tulips_241', 'image_tulips_242', 'image_tulips_245', 'image_tulips_246', 'image_tulips_257', 'image_tulips_259', 'image_tulips_260', 'image_tulips_267', 'image_tulips_270', 'image_tulips_281', 'image_tulips_286', 'image_tulips_289', 'image_tulips_29', 'image_tulips_290', 'image_tulips_30', 'image_tulips_300', 'image_tulips_301', 'image_tulips_306', 'image_tulips_309', 'image_tulips_316', 'image_tulips_317', 'image_tulips_319', 'image_tulips_32', 'image_tulips_320', 'image_tulips_34', 'image_tulips_340', 'image_tulips_346', 'image_tulips_347', 'image_tulips_349', 'image_tulips_35', 'image_tulips_352', 'image_tulips_358', 'image_tulips_365', 'image_tulips_372', 'image_tulips_375', 'image_tulips_379', 'image_tulips_389', 'image_tulips_39', 'image_tulips_391', 'image_tulips_392', 'image_tulips_405', 'image_tulips_407', 'image_tulips_410', 'image_tulips_417', 'image_tulips_419', 'image_tulips_420', 'image_tulips_421', 'image_tulips_425', 'image_tulips_431', 'image_tulips_435', 'image_tulips_442', 'image_tulips_444', 'image_tulips_445', 'image_tulips_451', 'image_tulips_459', 'image_tulips_46', 'image_tulips_466', 'image_tulips_471', 'image_tulips_480', 'image_tulips_487', 'image_tulips_492', 'image_tulips_502', 'image_tulips_506', 'image_tulips_507', 'image_tulips_509', 'image_tulips_513', 'image_tulips_514', 'image_tulips_516', 'image_tulips_517', 'image_tulips_523', 'image_tulips_526', 'image_tulips_527', 'image_tulips_53', 'image_tulips_531', 'image_tulips_533', 'image_tulips_544', 'image_tulips_545', 'image_tulips_55', 'image_tulips_550', 'image_tulips_554', 'image_tulips_56', 'image_tulips_568', 'image_tulips_573', 'image_tulips_578', 'image_tulips_584', 'image_tulips_592', 'image_tulips_595', 'image_tulips_596', 'image_tulips_598', 'image_tulips_604', 'image_tulips_613', 'image_tulips_618', 'image_tulips_62', 'image_tulips_622', 'image_tulips_624', 'image_tulips_625', 'image_tulips_63', 'image_tulips_630', 'image_tulips_638', 'image_tulips_641', 'image_tulips_650', 'image_tulips_653', 'image_tulips_658', 'image_tulips_661', 'image_tulips_669', 'image_tulips_682', 'image_tulips_689', 'image_tulips_695', 'image_tulips_697', 'image_tulips_698', 'image_tulips_701', 'image_tulips_702', 'image_tulips_715', 'image_tulips_724', 'image_tulips_730', 'image_tulips_731', 'image_tulips_732', 'image_tulips_742', 'image_tulips_761', 'image_tulips_762', 'image_tulips_772', 'image_tulips_776', 'image_tulips_78', 'image_tulips_783', 'image_tulips_784', 'image_tulips_787', 'image_tulips_789', 'image_tulips_794', 'image_tulips_813', 'image_tulips_814', 'image_tulips_816', 'image_tulips_82', 'image_tulips_824', 'image_tulips_826', 'image_tulips_83', 'image_tulips_831', 'image_tulips_836', 'image_tulips_837', 'image_tulips_838', 'image_tulips_843', 'image_tulips_853', 'image_tulips_856', 'image_tulips_86', 'image_tulips_862', 'image_tulips_867', 'image_tulips_873', 'image_tulips_876', 'image_tulips_878', 'image_tulips_882', 'image_tulips_883', 'image_tulips_889', 'image_tulips_896', 'image_tulips_908', 'image_tulips_914', 'image_tulips_916', 'image_tulips_923', 'image_tulips_936', 'image_tulips_938', 'image_tulips_939', 'image_tulips_94', 'image_tulips_941', 'image_tulips_944', 'image_tulips_945', 'image_tulips_948', 'image_tulips_949', 'image_tulips_958', 'image_tulips_967', 'image_tulips_971', 'image_tulips_974', 'image_tulips_975', 'image_tulips_98', 'image_tulips_984', 'image_tulips_987', 'image_tulips_989', 'image_tulips_993', 'image_tulips_996'])"
      ]
     },
     "execution_count": 224,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "name_to_id.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 258,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 501,
     "referenced_widgets": [
      "c8934d5981534cd284dd1bd92ed5b4e1",
      "3ebbd8fb75fd437785659ad43d5f1c83",
      "1f820c07815e451ba664aa0173dfdaab",
      "809cca19d9ea44d18fd3300ea0467828",
      "90627b59ec4f4418a5f4bc955c3ed025",
      "d2de6451c9f745c3b31c761dbcff243a",
      "dd58f86dbda644f984c036beabd47614",
      "3b8fe1c54f1f4bef8e02a327738f8585",
      "355191fb7340496b8afb915cf571c3fe",
      "4c0aab1056244ace8ab8a056223d9cd6",
      "fafecb4b64324e60838f25f6171e9817",
      "ac5ef57c472140c591f657af64ea2f7a",
      "a710bbcd7e404e8cb0a32df57e7801e9",
      "4397f95de9574b008e5191b7784666d1",
      "cdd197a9e86c4baaa2269598b518736e",
      "f64d6818c70444a5a7e78c21d792bb17",
      "e358f694ba0441eda9560eeeb265b53b",
      "175e190ca0ff482fbd83d07a317f233c",
      "77b675783e2b4b62aa88c8214da07595",
      "08bfd36837ce41a096efa17301133d0a",
      "a73bad88b57741f1a0296746f7670fca",
      "d4f77a5837a5475f9cb3627114084a06",
      "c54dc7b4abdb47109a015fc4bbc924b5",
      "d3046eca0c7742d2813a13c3dc808c9c",
      "3cd7af762d0e4eac8dd06fd7612df069",
      "89af3186056f4cfda73f3b24ac59efef",
      "89d3c80a51324481a7fd26679a325c6d",
      "d0554c47788647dd95064bc01fd90ea1",
      "87521fe80b31408188b933a48583de78",
      "3bf9e30e2be74ab1882d943633ab47d9",
      "9b4dc6eda1804612bc146df8e133aad6",
      "14aba4ec294d4f2b9ace172ae3774da2",
      "92bd1801578445169ce6439e6a4dd2de",
      "7c0ccde9796d4c98b6275094c3d10b2d",
      "6ead4ac8fefd43dd9bea9608c52aa8e8",
      "4d442fa1d01443aeb09beafd699320a6",
      "a414de3a4a08497baa3d7070f68e2d34"
     ]
    },
    "colab_type": "code",
    "id": "79TAPk3rVdC9",
    "outputId": "098b512f-5fcb-4b92-841e-a081f1446c68"
   },
   "outputs": [
    {
     "data": {
      "image/jpeg": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c8934d5981534cd284dd1bd92ed5b4e1",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(VBox(children=(Label(value='208.45 image_dandelion_172'), Image(value=b'\\xff\\xd8\\xff\\xe0\\x00\\x1…"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p = \"image_dandelion_172\"\n",
    "display_picture(p)\n",
    "display_results(search(xb[name_to_id[p]]))"
   ]
  }
 ],
 "metadata": {
  "colab": {
   "collapsed_sections": [],
   "name": "ImageEmb.ipynb",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.5"
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "005626c5344740e69f9edc1b3b12a3ce": {
     "model_module": "@jupyter-widgets/base",
     "model_name": "LayoutModel",
     "state": {
      "_model_module": "@jupyter-widgets/base",
      "_model_module_version": "1.2.0",
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