examples/Grouped Datasets.ipynb

{
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   "source": [
    "<!-- Autogenerated by `scripts/make_examples.py` -->\n",
    "<table align=\"left\">\n",
    "    <td>\n",
    "        <a target=\"_blank\" href=\"https://colab.research.google.com/github/voxel51/fiftyone-examples/blob/master/examples/Grouped Datasets.ipynb\">\n",
    "            <img src=\"https://user-images.githubusercontent.com/25985824/104791629-6e618700-5769-11eb-857f-d176b37d2496.png\" height=\"32\" width=\"32\">\n",
    "            Try in Google Colab\n",
    "        </a>\n",
    "    </td>\n",
    "    <td>\n",
    "        <a target=\"_blank\" href=\"https://nbviewer.jupyter.org/github/voxel51/fiftyone-examples/blob/master/examples/Grouped Datasets.ipynb\">\n",
    "            <img src=\"https://user-images.githubusercontent.com/25985824/104791634-6efa1d80-5769-11eb-8a4c-71d6cb53ccf0.png\" height=\"32\" width=\"32\">\n",
    "            Share via nbviewer\n",
    "        </a>\n",
    "    </td>\n",
    "    <td>\n",
    "        <a target=\"_blank\" href=\"https://github.com/voxel51/fiftyone-examples/blob/master/examples/Grouped Datasets.ipynb\">\n",
    "            <img src=\"https://user-images.githubusercontent.com/25985824/104791633-6efa1d80-5769-11eb-8ee3-4b2123fe4b66.png\" height=\"32\" width=\"32\">\n",
    "            View on GitHub\n",
    "        </a>\n",
    "    </td>\n",
    "    <td>\n",
    "        <a href=\"https://github.com/voxel51/fiftyone-examples/raw/master/examples/Grouped Datasets.ipynb\" download>\n",
    "            <img src=\"https://user-images.githubusercontent.com/25985824/104792428-60f9cc00-576c-11eb-95a4-5709d803023a.png\" height=\"32\" width=\"32\">\n",
    "            Download notebook\n",
    "        </a>\n",
    "    </td>\n",
    "</table>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "888e461d",
   "metadata": {},
   "source": [
    "# <span style=\"color: orange\">**FiftyOne Group Datasets**\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7530b96a",
   "metadata": {},
   "source": [
    "## Creating your First Grouped Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "1932bc35",
   "metadata": {},
   "outputs": [],
   "source": [
    "import fiftyone as fo\n",
    "import fiftyone.utils.random as four\n",
    "import fiftyone.zoo as foz\n",
    "\n",
    "dataset = fo.Dataset(\"first-group-dataset\")\n",
    "dataset.add_group_field(\"group\", default=\"center\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f6ddeb2c",
   "metadata": {},
   "source": [
    "### Adding Images to the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a147f681",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset already downloaded\n",
      "Loading 'quickstart'\n",
      " 100% |█████████████████| 200/200 [2.5s elapsed, 0s remaining, 77.1 samples/s]       \n",
      "Dataset 'quickstart' created\n",
      " 100% |█████████████████| 198/198 [52.7ms elapsed, 0s remaining, 3.8K samples/s]      \n"
     ]
    },
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      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "groups = [\"left\", \"center\", \"right\"]\n",
    "\n",
    "d = foz.load_zoo_dataset(\"quickstart\")\n",
    "four.random_split(d, {g: 1 / len(groups) for g in groups})\n",
    "filepaths = [d.match_tags(g).values(\"filepath\") for g in groups]\n",
    "filepaths = [dict(zip(groups, fps)) for fps in zip(*filepaths)]\n",
    "\n",
    "samples = []\n",
    "for fps in filepaths:\n",
    "    group = fo.Group()\n",
    "    for name, filepath in fps.items():\n",
    "        sample = fo.Sample(filepath=filepath, group=group.element(name))\n",
    "        samples.append(sample)\n",
    "\n",
    "dataset.add_samples(samples)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "00e7e60f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Name:        first-group-dataset\n",
      "Media type:  group\n",
      "Group slice: center\n",
      "Num groups:  66\n",
      "Persistent:  False\n",
      "Tags:        []\n",
      "Sample fields:\n",
      "    id:       fiftyone.core.fields.ObjectIdField\n",
      "    filepath: fiftyone.core.fields.StringField\n",
      "    tags:     fiftyone.core.fields.ListField(fiftyone.core.fields.StringField)\n",
      "    metadata: fiftyone.core.fields.EmbeddedDocumentField(fiftyone.core.metadata.Metadata)\n",
      "    group:    fiftyone.core.fields.EmbeddedDocumentField(fiftyone.core.groups.Group)\n"
     ]
    }
   ],
   "source": [
    "print(dataset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "be25db11",
   "metadata": {},
   "outputs": [
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' style=\"width: 100%; max-width: 1179px;\"/>\n",
       "</div>\n",
       "\n",
       "<script type=\"text/javascript\">\n",
       "   (function() {\n",
       "     var container = document.getElementById(\"focontainer-b30d4298-2cd0-4e08-b71c-46fa754848e9\");\n",
       "     var overlay = document.getElementById(\"fooverlay-b30d4298-2cd0-4e08-b71c-46fa754848e9\");\n",
       "     fetch(`http://localhost:5151/fiftyone`)\n",
       "     .then(() => {\n",
       "        overlay.addEventListener(\"click\", () => {\n",
       "          fetch(`http://localhost:5151/event`, {\n",
       "            method: \"POST\",\n",
       "            body: JSON.stringify({\n",
       "              event: \"reactivate_notebook_cell\",\n",
       "              data: { subscription: \"b30d4298-2cd0-4e08-b71c-46fa754848e9\" },\n",
       "              subscription: \"b30d4298-2cd0-4e08-b71c-46fa754848e9\"\n",
       "            })\n",
       "          })\n",
       "        });\n",
       "        container.addEventListener(\"mouseenter\", () => overlay.style.display = \"block\");\n",
       "        container.addEventListener(\"mouseleave\", () => overlay.style.display = \"none\");\n",
       "     });\n",
       "   })();\n",
       "</script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "session = fo.launch_app(dataset)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6ba3b784",
   "metadata": {},
   "source": [
    "### Grabbing basic information"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "b1f1eb7f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['left', 'center', 'right']\n"
     ]
    }
   ],
   "source": [
    "print(dataset.group_slices)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "67b3bac5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'left': 'image', 'center': 'image', 'right': 'image'}\n"
     ]
    }
   ],
   "source": [
    "print(dataset.group_media_types)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5becbd6d",
   "metadata": {},
   "source": [
    "### Grabbing a single sample"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "100cb1ac",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<SampleView: {\n",
      "    'id': '64f0ff20cb1bdc1e2ee070e6',\n",
      "    'media_type': 'image',\n",
      "    'filepath': '/home/dan/fiftyone/quickstart/data/003344.jpg',\n",
      "    'tags': [],\n",
      "    'metadata': None,\n",
      "    'group': <Group: {'id': '64f0ff20cb1bdc1e2ee070a1', 'name': 'center'}>,\n",
      "}>\n"
     ]
    }
   ],
   "source": [
    "sample = dataset.shuffle().first()\n",
    "print(sample)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e8d0f6e4",
   "metadata": {},
   "source": [
    " ### In a grouped dataset, you have one active group slice at a time. A group slice makes up each inidividual sample of each group in that slice. Another way to put it is that in the left group slice, we will see all the left photos. We can change this easily by following below:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "fa60eed2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<SampleView: {\n",
      "    'id': '64f0ff20cb1bdc1e2ee07166',\n",
      "    'media_type': 'image',\n",
      "    'filepath': '/home/dan/fiftyone/quickstart/data/003420.jpg',\n",
      "    'tags': [],\n",
      "    'metadata': None,\n",
      "    'group': <Group: {'id': '64f0ff20cb1bdc1e2ee070cc', 'name': 'left'}>,\n",
      "}>\n"
     ]
    }
   ],
   "source": [
    "dataset.group_slice = \"left\"\n",
    "sample = dataset.shuffle().first()\n",
    "print(sample)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a22091a6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<style>\n",
       "@import url(\"https://fonts.googleapis.com/css2?family=Palanquin&display=swap\");\n",
       "\n",
       "body, html {\n",
       "  margin: 0;\n",
       "  padding: 0;\n",
       "  width: 100%;\n",
       "}\n",
       "\n",
       "#focontainer-a1ea8529-ec56-4341-a366-06387eea66c0 {\n",
       "  position: relative;\n",
       "  height: 800px;\n",
       "  display: block !important;\n",
       "}\n",
       "#foactivate-a1ea8529-ec56-4341-a366-06387eea66c0 {\n",
       "  font-weight: bold;\n",
       "  cursor: pointer;\n",
       "  font-size: 24px;\n",
       "  border-radius: 3px;\n",
       "  text-align: center;\n",
       "  padding: 0.5em;\n",
       "  color: rgb(255, 255, 255);\n",
       "  font-family: \"Palanquin\", sans-serif;\n",
       "  position: absolute;\n",
       "  left: 50%;\n",
       "  top: 50%;\n",
       "  width: 160px;\n",
       "  margin-left: -80px;\n",
       "  margin-top: -23px;\n",
       "  background: hsla(210,11%,15%, 0.8);\n",
       "  border: none;\n",
       "}\n",
       "#foactivate-a1ea8529-ec56-4341-a366-06387eea66c0:focus {\n",
       "  outline: none;\n",
       "}\n",
       "#fooverlay-a1ea8529-ec56-4341-a366-06387eea66c0 {\n",
       "  width: 100%;\n",
       "  height: 100%;\n",
       "  background: hsla(208, 7%, 46%, 0.7);\n",
       "  position: absolute;\n",
       "  top: 0;\n",
       "  left: 0;\n",
       "  display: none;\n",
       "  cursor: pointer;\n",
       "}\n",
       "</style>\n",
       "\n",
       "<div id=\"focontainer-a1ea8529-ec56-4341-a366-06387eea66c0\">\n",
       "   <div id=\"fooverlay-a1ea8529-ec56-4341-a366-06387eea66c0\" style=\"display: none;\">\n",
       "      <button id=\"foactivate-a1ea8529-ec56-4341-a366-06387eea66c0\" >Activate</button>\n",
       "   </div>\n",
       "   <img 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style=\"width: 100%; max-width: 1179px;\"/>\n",
       "</div>\n",
       "\n",
       "<script type=\"text/javascript\">\n",
       "   (function() {\n",
       "     var container = document.getElementById(\"focontainer-a1ea8529-ec56-4341-a366-06387eea66c0\");\n",
       "     var overlay = document.getElementById(\"fooverlay-a1ea8529-ec56-4341-a366-06387eea66c0\");\n",
       "     fetch(`http://localhost:5151/fiftyone`)\n",
       "     .then(() => {\n",
       "        overlay.addEventListener(\"click\", () => {\n",
       "          fetch(`http://localhost:5151/event`, {\n",
       "            method: \"POST\",\n",
       "            body: JSON.stringify({\n",
       "              event: \"reactivate_notebook_cell\",\n",
       "              data: { subscription: \"a1ea8529-ec56-4341-a366-06387eea66c0\" },\n",
       "              subscription: \"a1ea8529-ec56-4341-a366-06387eea66c0\"\n",
       "            })\n",
       "          })\n",
       "        });\n",
       "        container.addEventListener(\"mouseenter\", () => overlay.style.display = \"block\");\n",
       "        container.addEventListener(\"mouseleave\", () => overlay.style.display = \"none\");\n",
       "     });\n",
       "   })();\n",
       "</script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "session = fo.launch_app(dataset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "77ab7bd8",
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset.group_slice = \"center\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "9c4d2542",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'left': <Sample: {\n",
      "    'id': '64f0ff20cb1bdc1e2ee07109',\n",
      "    'media_type': 'image',\n",
      "    'filepath': '/home/dan/fiftyone/quickstart/data/004781.jpg',\n",
      "    'tags': [],\n",
      "    'metadata': None,\n",
      "    'group': <Group: {'id': '64f0ff20cb1bdc1e2ee070ad', 'name': 'left'}>,\n",
      "}>, 'center': <Sample: {\n",
      "    'id': '64f0ff20cb1bdc1e2ee0710a',\n",
      "    'media_type': 'image',\n",
      "    'filepath': '/home/dan/fiftyone/quickstart/data/003614.jpg',\n",
      "    'tags': [],\n",
      "    'metadata': None,\n",
      "    'group': <Group: {'id': '64f0ff20cb1bdc1e2ee070ad', 'name': 'center'}>,\n",
      "}>, 'right': <Sample: {\n",
      "    'id': '64f0ff20cb1bdc1e2ee0710b',\n",
      "    'media_type': 'image',\n",
      "    'filepath': '/home/dan/fiftyone/quickstart/data/002514.jpg',\n",
      "    'tags': [],\n",
      "    'metadata': None,\n",
      "    'group': <Group: {'id': '64f0ff20cb1bdc1e2ee070ad', 'name': 'right'}>,\n",
      "}>}\n"
     ]
    }
   ],
   "source": [
    "sample = dataset.shuffle().first()\n",
    "group_id = sample.group.id\n",
    "\n",
    "group = dataset.get_group(group_id)\n",
    "print(group)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "2331ee54",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset already downloaded\n",
      "Loading 'quickstart-groups'\n",
      " 100% |█████████████████| 600/600 [2.0s elapsed, 0s remaining, 308.7 samples/s]      \n",
      "Dataset 'quickstart-groups' created\n",
      "left\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"100%\"\n",
       "            height=\"800\"\n",
       "            src=\"http://localhost:5151/?notebook=True&subscription=02a660d4-9f33-4229-9e34-ce37d8667be4\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "            \n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.IFrame at 0x7f0c3d2e93c0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import fiftyone as fo\n",
    "import fiftyone.zoo as foz\n",
    "from fiftyone import ViewField as F\n",
    "\n",
    "dataset = foz.load_zoo_dataset(\"quickstart-groups\")\n",
    "\n",
    "print(dataset.group_slice)\n",
    "# left\n",
    "\n",
    "session = fo.launch_app(dataset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "8d74c905",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Filters based on the content in the 'left' slice\n",
    "view = (\n",
    "    dataset\n",
    "    .match_tags(\"train\")\n",
    "    .filter_labels(\"ground_truth\", F(\"label\") == \"Pedestrian\")\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "11a3d6e7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset:     quickstart-groups\n",
      "Media type:  group\n",
      "Group slice: left\n",
      "Num groups:  0\n",
      "Group fields:\n",
      "    id:           fiftyone.core.fields.ObjectIdField\n",
      "    filepath:     fiftyone.core.fields.StringField\n",
      "    tags:         fiftyone.core.fields.ListField(fiftyone.core.fields.StringField)\n",
      "    metadata:     fiftyone.core.fields.EmbeddedDocumentField(fiftyone.core.metadata.Metadata)\n",
      "    group:        fiftyone.core.fields.EmbeddedDocumentField(fiftyone.core.groups.Group)\n",
      "    ground_truth: fiftyone.core.fields.EmbeddedDocumentField(fiftyone.core.labels.Detections)\n",
      "View stages:\n",
      "    1. Match(filter={'$expr': {'$and': [...]}})\n"
     ]
    }
   ],
   "source": [
    "from fiftyone import ViewField as F\n",
    "\n",
    "dataset.compute_metadata()\n",
    "\n",
    "# Match groups whose `left` image has a height of at least 640 pixels and\n",
    "# whose `right` image has a height of at most 480 pixels\n",
    "view = dataset.match(\n",
    "    (F(\"groups.left.metadata.height\") >= 640)\n",
    "    & (F(\"groups.right.metadata.height\") <= 480)\n",
    ")\n",
    "\n",
    "print(view)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "fd995df1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "left\n",
      "1379\n",
      "9291.526529006525\n"
     ]
    }
   ],
   "source": [
    "bbox_width = F(\"bounding_box\")[2] * F(\"$metadata.width\")\n",
    "bbox_height = F(\"bounding_box\")[3] * F(\"$metadata.height\")\n",
    "bbox_area = bbox_width * bbox_height\n",
    "\n",
    "print(dataset.group_slice)\n",
    "# left\n",
    "\n",
    "print(dataset.count(\"ground_truth.detections\"))\n",
    "\n",
    "print(dataset.mean(\"ground_truth.detections[]\", expr=bbox_area))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "8de987a4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1100\n",
      "(221.24430441846425, 466616.0)\n"
     ]
    }
   ],
   "source": [
    "dataset.group_slice = \"right\"\n",
    "\n",
    "print(dataset.count(\"ground_truth.detections\"))\n",
    "\n",
    "print(dataset.bounds(\"ground_truth.detections[]\", expr=bbox_area))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "896544f9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "200\n",
      "1100\n",
      "400\n",
      "2479\n"
     ]
    }
   ],
   "source": [
    "print(dataset.count())  # 200\n",
    "print(dataset.count(\"ground_truth.detections\"))  # 1438\n",
    "\n",
    "view3 = dataset.select_group_slices([\"left\", \"right\"])\n",
    "\n",
    "print(view3.count())  # 400\n",
    "print(view3.count(\"ground_truth.detections\"))  # 2876"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "9094d15e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset:     quickstart-groups\n",
      "Media type:  group\n",
      "Group slice: right\n",
      "Num groups:  86\n",
      "Group fields:\n",
      "    id:           fiftyone.core.fields.ObjectIdField\n",
      "    filepath:     fiftyone.core.fields.StringField\n",
      "    tags:         fiftyone.core.fields.ListField(fiftyone.core.fields.StringField)\n",
      "    metadata:     fiftyone.core.fields.EmbeddedDocumentField(fiftyone.core.metadata.Metadata)\n",
      "    group:        fiftyone.core.fields.EmbeddedDocumentField(fiftyone.core.groups.Group)\n",
      "    ground_truth: fiftyone.core.fields.EmbeddedDocumentField(fiftyone.core.labels.Detections)\n",
      "View stages:\n",
      "    1. FilterLabels(field='ground_truth', filter={'$and': [{...}, {...}]}, only_matches=True, trajectories=False)\n"
     ]
    }
   ],
   "source": [
    "bbox_width = F(\"bounding_box\")[2] \n",
    "bbox_height = F(\"bounding_box\")[3] \n",
    "bbox_area = bbox_width * bbox_height\n",
    "\n",
    "view = dataset.filter_labels(\"ground_truth\", (0.05 <= bbox_area) & (bbox_area < 0.5))\n",
    "print(view)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a689a1ed",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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