{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "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/Video Labels.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/Video Labels.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/Video Labels.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/Video Labels.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",
   "metadata": {},
   "source": [
    "# <span style=\"color:#FF6D04\">**Video Labels in FiftyOne**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##  <span style=\"color:#A6A7A9\">**A guided example with ASL videos**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First download and unzip the dataset.\n",
    "\n",
    "We will be using the [WLASL Dataset](https://www.kaggle.com/datasets/risangbaskoro/wlasl-processed), a dataset comprised of actors performing sign language."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install kaggle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Warning: Your Kaggle API key is readable by other users on this system! To fix this, you can run 'chmod 600 /home/dan/.kaggle/kaggle.json'\n",
      "Downloading wlasl-processed.zip to /home/dan/Documents/tnt\n",
      "100%|█████████████████████████████████████▉| 4.82G/4.82G [02:14<00:00, 54.0MB/s]\n",
      "100%|██████████████████████████████████████| 4.82G/4.82G [02:14<00:00, 38.4MB/s]\n"
     ]
    }
   ],
   "source": [
    "!kaggle datasets download -d risangbaskoro/wlasl-processed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [],
   "source": [
    "!mkdir wlasl-processed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!unzip wlasl-processed.zip -d wlasl-processed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np # linear algebra\n",
    "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
    "import json\n",
    "import os"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Load in the labels for the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {},
   "outputs": [],
   "source": [
    "main_path = './wlasl-processed/'\n",
    "wlasl_df = pd.read_json(main_path + 'WLASL_v0.3.json')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gloss</th>\n",
       "      <th>instances</th>\n",
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       "      <td>computer</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>before</td>\n",
       "      <td>[{'bbox': [0, 0, 360, 240], 'fps': 25, 'frame_...</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
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      "text/plain": [
       "      gloss                                          instances\n",
       "0      book  [{'bbox': [385, 37, 885, 720], 'fps': 25, 'fra...\n",
       "1     drink  [{'bbox': [551, 68, 1350, 1080], 'fps': 25, 'f...\n",
       "2  computer  [{'bbox': [0, 0, 360, 240], 'fps': 25, 'frame_...\n",
       "3    before  [{'bbox': [0, 0, 360, 240], 'fps': 25, 'frame_...\n",
       "4     chair  [{'bbox': [0, 0, 360, 240], 'fps': 25, 'frame_..."
      ]
     },
     "execution_count": 159,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wlasl_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [],
   "source": [
    "mp4_dir = main_path + \"videos\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## <span style=\"color:#FF6D04\">**Creating the Video Dataset**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 100% |█████████████| 11980/11980 [1.7s elapsed, 0s remaining, 7.2K samples/s]          \n",
      "Computing metadata...\n",
      " 100% |█████████████| 11980/11980 [1.2m elapsed, 0s remaining, 403.2 samples/s]      \n"
     ]
    }
   ],
   "source": [
    "import fiftyone\n",
    "\n",
    "dataset = fo.Dataset.from_dir(dataset_dir=mp4_dir,dataset_type=fo.types.VideoDirectory)\n",
    "dataset.ensure_frames()\n",
    "dataset.compute_metadata()\n",
    "dataset.name = 'wlasl-dataset'\n",
    "dataset.persistent = True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {},
   "outputs": [
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style=\"width: 100%; max-width: 982px;\"/>\n",
       "</div>\n",
       "\n",
       "<script type=\"text/javascript\">\n",
       "   (function() {\n",
       "     var container = document.getElementById(\"focontainer-975e8d54-2f1c-4cce-b650-12cabe539d16\");\n",
       "     var overlay = document.getElementById(\"fooverlay-975e8d54-2f1c-4cce-b650-12cabe539d16\");\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: \"975e8d54-2f1c-4cce-b650-12cabe539d16\" },\n",
       "              subscription: \"975e8d54-2f1c-4cce-b650-12cabe539d16\"\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"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Could not connect session, trying again in 10 seconds\r\n",
      "\n"
     ]
    }
   ],
   "source": [
    "session = fo.launch_app(dataset)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## <span style=\"color:#FF6D04\">**Sample Detections**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {},
   "outputs": [],
   "source": [
    "def find_row_by_video_id(dataframe, video_id):\n",
    "    for index, row in dataframe.iterrows():\n",
    "        for instance in row['instances']:\n",
    "            if instance['video_id'] == video_id:\n",
    "                return row, instance\n",
    "    return None "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {},
   "outputs": [],
   "source": [
    "view = dataset.take(100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {},
   "outputs": [],
   "source": [
    "for sample in view:\n",
    "    base_file_name = os.path.basename(sample.filepath)\n",
    "    video_id, extension = os.path.splitext(base_file_name)\n",
    "    row, inst = find_row_by_video_id(wlasl_df,video_id)\n",
    "    gloss = row[\"gloss\"]\n",
    "    bbox = inst[\"bbox\"]\n",
    "    imw = sample.metadata.frame_width\n",
    "    imh = sample.metadata.frame_height\n",
    "    x1 = bbox[0] / imw\n",
    "    x2 = bbox[2] / imw\n",
    "    y1 = bbox[1] / imh\n",
    "    y2 = bbox[3] / imh\n",
    "    bbox = [x1,y1,x2-x1,y2-y1]\n",
    "    det = fo.Detection(bounding_box=bbox,label=gloss)\n",
    "    sample['Sample Label'] = fo.Detections(detections=[det])\n",
    "        \n",
    "    sample.save()\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "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-3f96fe69-6b2f-4d98-95e5-c41aaee1b3f6 {\n",
       "  position: relative;\n",
       "  height: 800px;\n",
       "  display: block !important;\n",
       "}\n",
       "#foactivate-3f96fe69-6b2f-4d98-95e5-c41aaee1b3f6 {\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-3f96fe69-6b2f-4d98-95e5-c41aaee1b3f6:focus {\n",
       "  outline: none;\n",
       "}\n",
       "#fooverlay-3f96fe69-6b2f-4d98-95e5-c41aaee1b3f6 {\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-3f96fe69-6b2f-4d98-95e5-c41aaee1b3f6\">\n",
       "   <div id=\"fooverlay-3f96fe69-6b2f-4d98-95e5-c41aaee1b3f6\" style=\"display: none;\">\n",
       "      <button id=\"foactivate-3f96fe69-6b2f-4d98-95e5-c41aaee1b3f6\" >Activate</button>\n",
       "   </div>\n",
       "   <img 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' style=\"width: 100%; max-width: 982px;\"/>\n",
       "</div>\n",
       "\n",
       "<script type=\"text/javascript\">\n",
       "   (function() {\n",
       "     var container = document.getElementById(\"focontainer-3f96fe69-6b2f-4d98-95e5-c41aaee1b3f6\");\n",
       "     var overlay = document.getElementById(\"fooverlay-3f96fe69-6b2f-4d98-95e5-c41aaee1b3f6\");\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: \"3f96fe69-6b2f-4d98-95e5-c41aaee1b3f6\" },\n",
       "              subscription: \"3f96fe69-6b2f-4d98-95e5-c41aaee1b3f6\"\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.view = view"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## <span style=\"color:#FF6D04\">**Frame Level Detections**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {},
   "outputs": [],
   "source": [
    "def bigger_bbox(x, y, width, height, index):\n",
    "\n",
    "    offset = 0.001\n",
    "    x_offset = index*offset\n",
    "\n",
    "    # Apply the offsets to the parameters\n",
    "    n_x = x - x_offset\n",
    "    n_width = width + x_offset*2 \n",
    "\n",
    "    return [n_x, y, n_width, height]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "metadata": {},
   "outputs": [],
   "source": [
    "for sample in view:\n",
    "    base_file_name = os.path.basename(sample.filepath)\n",
    "    video_id, extension = os.path.splitext(base_file_name)\n",
    "    row, inst = find_row_by_video_id(wlasl_df,video_id)\n",
    "    gloss = row[\"gloss\"]\n",
    "    bbox = inst[\"bbox\"]\n",
    "    imw = sample.metadata.frame_width\n",
    "    imh = sample.metadata.frame_height\n",
    "    x1 = bbox[0] / imw\n",
    "    x2 = bbox[2] / imw\n",
    "    y1 = bbox[1] / imh\n",
    "    y2 = bbox[3] / imh\n",
    "    bbox = [x1,y1,x2-x1,y2-y1]\n",
    "    for frame_no, frame in sample.frames.items():\n",
    "        new_bbox = bigger_bbox(bbox[0],bbox[1],bbox[2],bbox[3],frame_no)\n",
    "        det = fo.Detection(bounding_box=new_bbox,label=gloss)\n",
    "        frame['Frame Label'] = fo.Detections(detections=[det])\n",
    "        \n",
    "    sample.save()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "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-fa7b36d0-7ab6-4817-94e8-25165b12f493 {\n",
       "  position: relative;\n",
       "  height: 800px;\n",
       "  display: block !important;\n",
       "}\n",
       "#foactivate-fa7b36d0-7ab6-4817-94e8-25165b12f493 {\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-fa7b36d0-7ab6-4817-94e8-25165b12f493:focus {\n",
       "  outline: none;\n",
       "}\n",
       "#fooverlay-fa7b36d0-7ab6-4817-94e8-25165b12f493 {\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-fa7b36d0-7ab6-4817-94e8-25165b12f493\">\n",
       "   <div id=\"fooverlay-fa7b36d0-7ab6-4817-94e8-25165b12f493\" style=\"display: none;\">\n",
       "      <button id=\"foactivate-fa7b36d0-7ab6-4817-94e8-25165b12f493\" >Activate</button>\n",
       "   </div>\n",
       "   <img 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' style=\"width: 100%; max-width: 982px;\"/>\n",
       "</div>\n",
       "\n",
       "<script type=\"text/javascript\">\n",
       "   (function() {\n",
       "     var container = document.getElementById(\"focontainer-fa7b36d0-7ab6-4817-94e8-25165b12f493\");\n",
       "     var overlay = document.getElementById(\"fooverlay-fa7b36d0-7ab6-4817-94e8-25165b12f493\");\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: \"fa7b36d0-7ab6-4817-94e8-25165b12f493\" },\n",
       "              subscription: \"fa7b36d0-7ab6-4817-94e8-25165b12f493\"\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.view = view"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## <span style=\"color:#FF6D04\">**Temporal Detections**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {},
   "outputs": [],
   "source": [
    "for sample in view:\n",
    "    base_file_name = os.path.basename(sample.filepath)\n",
    "    video_id, extension = os.path.splitext(base_file_name)\n",
    "    row, inst = find_row_by_video_id(wlasl_df,video_id)\n",
    "    gloss = row[\"gloss\"]\n",
    "    sample[\"TD Word\"] = fo.TemporalDetection.from_timestamps(\n",
    "    [0, sample.metadata.duration/2], label=gloss, sample=sample\n",
    "    )\n",
    "    sample[\"TD Word2\"] = fo.TemporalDetection.from_timestamps(\n",
    "    [sample.metadata.duration/2, sample.metadata.duration], label=\"ASL is awesome!\", sample=sample\n",
    "    )\n",
    "\n",
    "        \n",
    "    sample.save()\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "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-7553a080-758a-4d78-870f-796a5e633312 {\n",
       "  position: relative;\n",
       "  height: 800px;\n",
       "  display: block !important;\n",
       "}\n",
       "#foactivate-7553a080-758a-4d78-870f-796a5e633312 {\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-7553a080-758a-4d78-870f-796a5e633312:focus {\n",
       "  outline: none;\n",
       "}\n",
       "#fooverlay-7553a080-758a-4d78-870f-796a5e633312 {\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-7553a080-758a-4d78-870f-796a5e633312\">\n",
       "   <div id=\"fooverlay-7553a080-758a-4d78-870f-796a5e633312\" style=\"display: none;\">\n",
       "      <button id=\"foactivate-7553a080-758a-4d78-870f-796a5e633312\" >Activate</button>\n",
       "   </div>\n",
       "   <img 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style=\"width: 100%; max-width: 982px;\"/>\n",
       "</div>\n",
       "\n",
       "<script type=\"text/javascript\">\n",
       "   (function() {\n",
       "     var container = document.getElementById(\"focontainer-7553a080-758a-4d78-870f-796a5e633312\");\n",
       "     var overlay = document.getElementById(\"fooverlay-7553a080-758a-4d78-870f-796a5e633312\");\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: \"7553a080-758a-4d78-870f-796a5e633312\" },\n",
       "              subscription: \"7553a080-758a-4d78-870f-796a5e633312\"\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.view = view"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## <span style=\"color:#FF6D04\">**Video Classification**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {},
   "outputs": [],
   "source": [
    "for sample in view:\n",
    "    base_file_name = os.path.basename(sample.filepath)\n",
    "    video_id, extension = os.path.splitext(base_file_name)\n",
    "    row, inst = find_row_by_video_id(wlasl_df,video_id)\n",
    "    gloss = row[\"gloss\"]\n",
    "    sample[\"class\"] = fo.Classification(label=gloss)\n",
    "        \n",
    "    sample.save()\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"100%\"\n",
       "            height=\"800\"\n",
       "            src=\"http://localhost:5151/?notebook=True&subscription=b1af44f3-6704-41c2-af2a-a50f1ea45794\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "            \n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.IFrame at 0x7f9059a7e080>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "session.view = view"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![Classification](video_label_imgs/asl_class.png)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}