{
  "id": 110242,
  "title": "mayavi tool for 3D visualization",
  "url": "/competitions/3d-object-detection-for-autonomous-vehicles/discussion/110242",
  "author_name": "",
  "post_date": "2019-09-26T08:16:35.231601Z",
  "votes": 16,
  "comment_count": 10,
  "views": 0,
  "content": "<p>Hey guys, I've built this awesome tool to interactively visualize lidar point cloud and corresponding bounding boxes in 3D using <a href=\"https://github.com/enthought/mayavi\">mayavi</a>.</p>\n\n<p>Checkout a demo video: <a href=\"https://www.youtube.com/watch?v=ivmiN4zvRTo\">here</a></p>\n\n<p>Checkout the source code: <a href=\"https://github.com/pyaf/nuscenes_viz\">here</a></p>\n\n<p>I'd love to hear your suggestions, let me know if you want some modifications, or if you have new ideas which you'd like to be implemented.</p>\n\n<p>Edit: Just found out lyft sdk has added 3d interative support for sample visualization using Plotly, here's how it looks like: <a href=\"https://www.kaggle.com/rishabhiitbhu/eda-understanding-the-dataset-with-3d-plots#3D-interactive-visualization-of-a-sample\">kernel link</a></p>",
  "messages": [
    {
      "id": "634389",
      "postDate": "09/26/2019 08:16:35",
      "content": "<p>Hey guys, I've built this awesome tool to interactively visualize lidar point cloud and corresponding bounding boxes in 3D using <a href=\"https://github.com/enthought/mayavi\">mayavi</a>.</p>\n\n<p>Checkout a demo video: <a href=\"https://www.youtube.com/watch?v=ivmiN4zvRTo\">here</a></p>\n\n<p>Checkout the source code: <a href=\"https://github.com/pyaf/nuscenes_viz\">here</a></p>\n\n<p>I'd love to hear your suggestions, let me know if you want some modifications, or if you have new ideas which you'd like to be implemented.</p>\n\n<p>Edit: Just found out lyft sdk has added 3d interative support for sample visualization using Plotly, here's how it looks like: <a href=\"https://www.kaggle.com/rishabhiitbhu/eda-understanding-the-dataset-with-3d-plots#3D-interactive-visualization-of-a-sample\">kernel link</a></p>",
      "rawMarkdown": "Hey guys, I've built this awesome tool to interactively visualize lidar point cloud and corresponding bounding boxes in 3D using [mayavi](https://github.com/enthought/mayavi).\n\nCheckout a demo video: [here](https://www.youtube.com/watch?v=ivmiN4zvRTo)\n\nCheckout the source code: [here](https://github.com/pyaf/nuscenes_viz)\n\nI'd love to hear your suggestions, let me know if you want some modifications, or if you have new ideas which you'd like to be implemented.\n\nEdit: Just found out lyft sdk has added 3d interative support for sample visualization using Plotly, here's how it looks like: [kernel link](https://www.kaggle.com/rishabhiitbhu/eda-understanding-the-dataset-with-3d-plots#3D-interactive-visualization-of-a-sample)",
      "votes": null
    },
    {
      "id": "634415",
      "postDate": "09/26/2019 08:58:04",
      "content": "<p>Great work! \nReally cool!!!</p>",
      "rawMarkdown": "Great work! \nReally cool!!!",
      "votes": null
    },
    {
      "id": "634427",
      "postDate": "09/26/2019 09:10:31",
      "content": "<p>Thanks :)</p>",
      "rawMarkdown": "Thanks :)",
      "votes": null
    },
    {
      "id": "634442",
      "postDate": "09/26/2019 09:40:24",
      "content": "<p>Great Work...\nAwesome... Thanks <a href=\"/rishabhiitbhu\">@rishabhiitbhu</a> </p>",
      "rawMarkdown": "Great Work...\nAwesome... Thanks @rishabhiitbhu",
      "votes": null
    },
    {
      "id": "634636",
      "postDate": "09/26/2019 14:42:37",
      "content": "<p>Great!!</p>",
      "rawMarkdown": "Great!!",
      "votes": null
    },
    {
      "id": "634652",
      "postDate": "09/26/2019 15:06:02",
      "content": "<p>Thanks :)</p>",
      "rawMarkdown": "Thanks :)",
      "votes": null
    },
    {
      "id": "634653",
      "postDate": "09/26/2019 15:06:19",
      "content": "<p>Thanks Veerala :)</p>",
      "rawMarkdown": "Thanks Veerala :)",
      "votes": null
    },
    {
      "id": "637405",
      "postDate": "10/01/2019 02:37:31",
      "content": "<p>You are amazing!</p>",
      "rawMarkdown": "You are amazing!",
      "votes": null
    },
    {
      "id": "637637",
      "postDate": "10/01/2019 07:15:17",
      "content": "<p>thanks, I'm just another kaggler who's kinda crazy about this competition and who is yet to score a non-zero score on the LB ;p</p>",
      "rawMarkdown": "thanks, I'm just another kaggler who's kinda crazy about this competition and who is yet to score a non-zero score on the LB ;p",
      "votes": null
    },
    {
      "id": "643854",
      "postDate": "10/08/2019 02:21:50",
      "content": "<p>Cool work and I'm really appreciated!</p>",
      "rawMarkdown": "Cool work and I'm really appreciated!",
      "votes": null
    },
    {
      "id": "643942",
      "postDate": "10/08/2019 06:38:21",
      "content": "<p>Thanks :)</p>",
      "rawMarkdown": "Thanks :)",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 634415,
      "author_name": "zehaozhao",
      "author_url": "",
      "post_date": "09/26/2019 08:58:04",
      "content": "<p>Great work! \nReally cool!!!</p>",
      "votes": null,
      "replies": [
        {
          "id": 634427,
          "author_name": "rishabhiitbhu",
          "author_url": "",
          "post_date": "09/26/2019 09:10:31",
          "content": "<p>Thanks :)</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 634442,
      "author_name": "veeralakrishna",
      "author_url": "",
      "post_date": "09/26/2019 09:40:24",
      "content": "<p>Great Work...\nAwesome... Thanks <a href=\"/rishabhiitbhu\">@rishabhiitbhu</a> </p>",
      "votes": null,
      "replies": [
        {
          "id": 634653,
          "author_name": "rishabhiitbhu",
          "author_url": "",
          "post_date": "09/26/2019 15:06:19",
          "content": "<p>Thanks Veerala :)</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 634636,
      "author_name": "marekwyborski",
      "author_url": "",
      "post_date": "09/26/2019 14:42:37",
      "content": "<p>Great!!</p>",
      "votes": null,
      "replies": [
        {
          "id": 634652,
          "author_name": "rishabhiitbhu",
          "author_url": "",
          "post_date": "09/26/2019 15:06:02",
          "content": "<p>Thanks :)</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 637405,
      "author_name": "shisususu",
      "author_url": "",
      "post_date": "10/01/2019 02:37:31",
      "content": "<p>You are amazing!</p>",
      "votes": null,
      "replies": [
        {
          "id": 637637,
          "author_name": "rishabhiitbhu",
          "author_url": "",
          "post_date": "10/01/2019 07:15:17",
          "content": "<p>thanks, I'm just another kaggler who's kinda crazy about this competition and who is yet to score a non-zero score on the LB ;p</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 643854,
      "author_name": "alfredocheng",
      "author_url": "",
      "post_date": "10/08/2019 02:21:50",
      "content": "<p>Cool work and I'm really appreciated!</p>",
      "votes": null,
      "replies": [
        {
          "id": 643942,
          "author_name": "rishabhiitbhu",
          "author_url": "",
          "post_date": "10/08/2019 06:38:21",
          "content": "<p>Thanks :)</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "634389": "Hey guys, I've built this awesome tool to interactively visualize lidar point cloud and corresponding bounding boxes in 3D using [mayavi](https://github.com/enthought/mayavi).\n\nCheckout a demo video: [here](https://www.youtube.com/watch?v=ivmiN4zvRTo)\n\nCheckout the source code: [here](https://github.com/pyaf/nuscenes_viz)\n\nI'd love to hear your suggestions, let me know if you want some modifications, or if you have new ideas which you'd like to be implemented.\n\nEdit: Just found out lyft sdk has added 3d interative support for sample visualization using Plotly, here's how it looks like: [kernel link](https://www.kaggle.com/rishabhiitbhu/eda-understanding-the-dataset-with-3d-plots#3D-interactive-visualization-of-a-sample)",
    "634415": "Great work! \nReally cool!!!",
    "634427": "Thanks :)",
    "634442": "Great Work...\nAwesome... Thanks @rishabhiitbhu",
    "634636": "Great!!",
    "634652": "Thanks :)",
    "634653": "Thanks Veerala :)",
    "637405": "You are amazing!",
    "637637": "thanks, I'm just another kaggler who's kinda crazy about this competition and who is yet to score a non-zero score on the LB ;p",
    "643854": "Cool work and I'm really appreciated!",
    "643942": "Thanks :)"
  },
  "source": "meta"
}