{
  "id": 180924,
  "title": "Error in create_chopped_dataset",
  "url": "/competitions/lyft-motion-prediction-autonomous-vehicles/discussion/180924",
  "author_name": "",
  "post_date": "2020-09-06T22:26:13.797135400Z",
  "votes": 1,
  "comment_count": 4,
  "views": 0,
  "content": "<p>In the example notebook while evaluating. I am getting the  <code>KeyError: '.zgroup'</code>  in zarr_scenes_chop function inside create_chopped_dataset. Any idea how to solve this? or any other way of evaluation?</p>",
  "messages": [
    {
      "id": "1000906",
      "postDate": "09/06/2020 22:26:13",
      "content": "<p>In the example notebook while evaluating. I am getting the  <code>KeyError: '.zgroup'</code>  in zarr_scenes_chop function inside create_chopped_dataset. Any idea how to solve this? or any other way of evaluation?</p>",
      "rawMarkdown": "In the example notebook while evaluating. I am getting the  `KeyError: '.zgroup'`  in zarr_scenes_chop function inside create_chopped_dataset. Any idea how to solve this? or any other way of evaluation?",
      "votes": null
    },
    {
      "id": "1000949",
      "postDate": "09/07/2020 00:11:19",
      "content": "<p><a href=\"https://www.kaggle.com/sujaydk\" target=\"_blank\">@sujaydk</a> I assume you are using kaggle kernal. And kaggle kernal does not let you edit input directory. So Chopped Zarr wont get created. You cant execute evaluate function from example as is from l5kit on kaggle. you need workaround. In this case, you create chopped zarr in a Temp folder. There is a notebook available publicly. Which explains how to create chopped data. Use that and modify example code from l5kit to use it on kaggle.   </p>",
      "rawMarkdown": "sujaydk I assume you are using kaggle kernal. And kaggle kernal does not let you edit input directory. So Chopped Zarr wont get created. You cant execute evaluate function from example as is from l5kit on kaggle. you need workaround. In this case, you create chopped zarr in a Temp folder. There is a notebook available publicly. Which explains how to create chopped data. Use that and modify example code from l5kit to use it on kaggle.",
      "votes": null
    },
    {
      "id": "1000989",
      "postDate": "09/07/2020 01:26:06",
      "content": "<p>Got it! thanks</p>",
      "rawMarkdown": "Got it! thanks",
      "votes": null
    },
    {
      "id": "1052901",
      "postDate": "10/18/2020 11:59:15",
      "content": "<p>can you give the link of that notebook. Thanks</p>",
      "rawMarkdown": "can you give the link of that notebook. Thanks",
      "votes": null
    },
    {
      "id": "1067259",
      "postDate": "11/02/2020 12:24:13",
      "content": "<p>Here its shown how it works:</p>\n<p><a href=\"https://www.kaggle.com/thomasbrandon/l5kit-chopped-dataset\" target=\"_blank\">https://www.kaggle.com/thomasbrandon/l5kit-chopped-dataset</a></p>",
      "rawMarkdown": "Here its shown how it works:\n\nhttps://www.kaggle.com/thomasbrandon/l5kit-chopped-dataset",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1000949,
      "author_name": "deepakrajpurushothaman",
      "author_url": "",
      "post_date": "09/07/2020 00:11:19",
      "content": "<p><a href=\"https://www.kaggle.com/sujaydk\" target=\"_blank\">@sujaydk</a> I assume you are using kaggle kernal. And kaggle kernal does not let you edit input directory. So Chopped Zarr wont get created. You cant execute evaluate function from example as is from l5kit on kaggle. you need workaround. In this case, you create chopped zarr in a Temp folder. There is a notebook available publicly. Which explains how to create chopped data. Use that and modify example code from l5kit to use it on kaggle.   </p>",
      "votes": null,
      "replies": [
        {
          "id": 1000989,
          "author_name": "sujaydk",
          "author_url": "",
          "post_date": "09/07/2020 01:26:06",
          "content": "<p>Got it! thanks</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1052901,
      "author_name": "sonalidubey",
      "author_url": "",
      "post_date": "10/18/2020 11:59:15",
      "content": "<p>can you give the link of that notebook. Thanks</p>",
      "votes": null,
      "replies": [
        {
          "id": 1067259,
          "author_name": "aliabdin1",
          "author_url": "",
          "post_date": "11/02/2020 12:24:13",
          "content": "<p>Here its shown how it works:</p>\n<p><a href=\"https://www.kaggle.com/thomasbrandon/l5kit-chopped-dataset\" target=\"_blank\">https://www.kaggle.com/thomasbrandon/l5kit-chopped-dataset</a></p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "1000906": "In the example notebook while evaluating. I am getting the  `KeyError: '.zgroup'`  in zarr_scenes_chop function inside create_chopped_dataset. Any idea how to solve this? or any other way of evaluation?",
    "1000949": "sujaydk I assume you are using kaggle kernal. And kaggle kernal does not let you edit input directory. So Chopped Zarr wont get created. You cant execute evaluate function from example as is from l5kit on kaggle. you need workaround. In this case, you create chopped zarr in a Temp folder. There is a notebook available publicly. Which explains how to create chopped data. Use that and modify example code from l5kit to use it on kaggle.",
    "1000989": "Got it! thanks",
    "1052901": "can you give the link of that notebook. Thanks",
    "1067259": "Here its shown how it works:\n\nhttps://www.kaggle.com/thomasbrandon/l5kit-chopped-dataset"
  },
  "source": "meta"
}