{
  "id": 56173,
  "title": "Evaluation Exception: Sequence contains no elements",
  "url": "/competitions/cvpr-2018-autonomous-driving/discussion/56173",
  "author_name": "",
  "post_date": "2018-05-07T09:48:40.247979800Z",
  "votes": 2,
  "comment_count": 8,
  "views": 0,
  "content": "<p>I Got this ERROR Many Many times，but i have checked my submission very carefully!!!\nDoes anyone can help me ???Please....</p>",
  "messages": [
    {
      "id": "324164",
      "postDate": "05/07/2018 09:48:40",
      "content": "<p>I Got this ERROR Many Many times，but i have checked my submission very carefully!!!\nDoes anyone can help me ???Please....</p>",
      "rawMarkdown": "I Got this ERROR Many Many times，but i have checked my submission very carefully!!!\nDoes anyone can help me ???Please....",
      "votes": null
    },
    {
      "id": "325519",
      "postDate": "05/08/2018 13:49:08",
      "content": "<p>It seems this error message appears quite randomly...</p>",
      "rawMarkdown": "It seems this error message appears quite randomly...",
      "votes": null
    },
    {
      "id": "325604",
      "postDate": "05/08/2018 16:11:49",
      "content": "<p>I am also getting this error.. How do you resolve it??</p>",
      "rawMarkdown": "I am also getting this error.. How do you resolve it??",
      "votes": null
    },
    {
      "id": "325637",
      "postDate": "05/08/2018 16:49:25",
      "content": "<p>Thanks or reporting. We are investigating, but it may take a few days to get to root cause. Please continue to report as much information as you can to this thread to help us figure it out. Thanks!</p>",
      "rawMarkdown": "Thanks or reporting. We are investigating, but it may take a few days to get to root cause. Please continue to report as much information as you can to this thread to help us figure it out. Thanks!",
      "votes": null
    },
    {
      "id": "326300",
      "postDate": "05/09/2018 14:25:21",
      "content": "<p>Do we have to submit predictions for each image in test set??? I am trying to submit predictions for just one image file and I am still getting this error.. \nDoes anyone know how to resolve this error</p>",
      "rawMarkdown": "Do we have to submit predictions for each image in test set??? I am trying to submit predictions for just one image file and I am still getting this error.. \nDoes anyone know how to resolve this error",
      "votes": null
    },
    {
      "id": "329279",
      "postDate": "05/16/2018 06:23:42",
      "content": "<p>I run into the same problem. Please solve this bug as soon as possible. @Kaggle</p>",
      "rawMarkdown": "I run into the same problem. Please solve this bug as soon as possible. @Kaggle",
      "votes": null
    },
    {
      "id": "329547",
      "postDate": "05/16/2018 17:33:15",
      "content": "<p>Same issue here. I checked my submission with pandas to rule out some edge cases:</p>\n\n<pre><code>sub = pd.read_csv('my_submission.csv', sep=',')\nsub['ImageId'].describe()\n# Not all test images have predictions\ncount                                11925\nunique                                1759\ntop       794c2d2cf07a21eb77fd2925dcfb9fbf\nfreq                                    23\n# No NaN, or empty fields\nsub.isnull().sum()\nImageId          0\nLabelId          0\nConfidence       0\nPixelCount       0\nEncodedPixels    0\n# No empty predictions (I filter cases where pixel count is less than 10)\nsub['EncodedPixels'].str.len().min()\n11\n</code></pre>\n\n<p>My submissions for each video are generated by an adapted version of your script (which was not exactly doing what it said in the description in the first place). My prediction file has a reasonable size of 16Mb, and it always fails after 32 seconds. So what is the issue here?</p>",
      "rawMarkdown": "Same issue here. I checked my submission with pandas to rule out some edge cases:\n\n\n    sub = pd.read_csv('my_submission.csv', sep=',')\n    sub['ImageId'].describe()\n    # Not all test images have predictions\n    count                                11925\n    unique                                1759\n    top       794c2d2cf07a21eb77fd2925dcfb9fbf\n    freq                                    23\n    # No NaN, or empty fields\n    sub.isnull().sum()\n    ImageId          0\n    LabelId          0\n    Confidence       0\n    PixelCount       0\n    EncodedPixels    0\n    # No empty predictions (I filter cases where pixel count is less than 10)\n    sub['EncodedPixels'].str.len().min()\n    11\n\nMy submissions for each video are generated by an adapted version of your script (which was not exactly doing what it said in the description in the first place). My prediction file has a reasonable size of 16Mb, and it always fails after 32 seconds. So what is the issue here?",
      "votes": null
    },
    {
      "id": "329893",
      "postDate": "05/17/2018 13:29:08",
      "content": "<p>@Forever Young, could you share your experience on how to solve your issue? I saw that you ranked the 4th now which means that your ERROR is somewhat solved. No?</p>",
      "rawMarkdown": "Forever Young, could you share your experience on how to solve your issue? I saw that you ranked the 4th now which means that your ERROR is somewhat solved. No?",
      "votes": null
    },
    {
      "id": "330092",
      "postDate": "05/18/2018 03:15:50",
      "content": "<p>It seems that i have too many predictions.</p>",
      "rawMarkdown": "It seems that i have too many predictions.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 325519,
      "author_name": "woodywang",
      "author_url": "",
      "post_date": "05/08/2018 13:49:08",
      "content": "<p>It seems this error message appears quite randomly...</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 325604,
      "author_name": "akshaytrivedi",
      "author_url": "",
      "post_date": "05/08/2018 16:11:49",
      "content": "<p>I am also getting this error.. How do you resolve it??</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 325637,
      "author_name": "inversion",
      "author_url": "",
      "post_date": "05/08/2018 16:49:25",
      "content": "<p>Thanks or reporting. We are investigating, but it may take a few days to get to root cause. Please continue to report as much information as you can to this thread to help us figure it out. Thanks!</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 326300,
      "author_name": "akshaytrivedi",
      "author_url": "",
      "post_date": "05/09/2018 14:25:21",
      "content": "<p>Do we have to submit predictions for each image in test set??? I am trying to submit predictions for just one image file and I am still getting this error.. \nDoes anyone know how to resolve this error</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 329279,
      "author_name": "shansiliu",
      "author_url": "",
      "post_date": "05/16/2018 06:23:42",
      "content": "<p>I run into the same problem. Please solve this bug as soon as possible. @Kaggle</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 329547,
      "author_name": "michaelheinzer",
      "author_url": "",
      "post_date": "05/16/2018 17:33:15",
      "content": "<p>Same issue here. I checked my submission with pandas to rule out some edge cases:</p>\n\n<pre><code>sub = pd.read_csv('my_submission.csv', sep=',')\nsub['ImageId'].describe()\n# Not all test images have predictions\ncount                                11925\nunique                                1759\ntop       794c2d2cf07a21eb77fd2925dcfb9fbf\nfreq                                    23\n# No NaN, or empty fields\nsub.isnull().sum()\nImageId          0\nLabelId          0\nConfidence       0\nPixelCount       0\nEncodedPixels    0\n# No empty predictions (I filter cases where pixel count is less than 10)\nsub['EncodedPixels'].str.len().min()\n11\n</code></pre>\n\n<p>My submissions for each video are generated by an adapted version of your script (which was not exactly doing what it said in the description in the first place). My prediction file has a reasonable size of 16Mb, and it always fails after 32 seconds. So what is the issue here?</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 329893,
      "author_name": "stevenwudi",
      "author_url": "",
      "post_date": "05/17/2018 13:29:08",
      "content": "<p>@Forever Young, could you share your experience on how to solve your issue? I saw that you ranked the 4th now which means that your ERROR is somewhat solved. No?</p>",
      "votes": null,
      "replies": [
        {
          "id": 330092,
          "author_name": "yh673025667",
          "author_url": "",
          "post_date": "05/18/2018 03:15:50",
          "content": "<p>It seems that i have too many predictions.</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "324164": "I Got this ERROR Many Many times，but i have checked my submission very carefully!!!\nDoes anyone can help me ???Please....",
    "325519": "It seems this error message appears quite randomly...",
    "325604": "I am also getting this error.. How do you resolve it??",
    "325637": "Thanks or reporting. We are investigating, but it may take a few days to get to root cause. Please continue to report as much information as you can to this thread to help us figure it out. Thanks!",
    "326300": "Do we have to submit predictions for each image in test set??? I am trying to submit predictions for just one image file and I am still getting this error.. \nDoes anyone know how to resolve this error",
    "329279": "I run into the same problem. Please solve this bug as soon as possible. @Kaggle",
    "329547": "Same issue here. I checked my submission with pandas to rule out some edge cases:\n\n\n    sub = pd.read_csv('my_submission.csv', sep=',')\n    sub['ImageId'].describe()\n    # Not all test images have predictions\n    count                                11925\n    unique                                1759\n    top       794c2d2cf07a21eb77fd2925dcfb9fbf\n    freq                                    23\n    # No NaN, or empty fields\n    sub.isnull().sum()\n    ImageId          0\n    LabelId          0\n    Confidence       0\n    PixelCount       0\n    EncodedPixels    0\n    # No empty predictions (I filter cases where pixel count is less than 10)\n    sub['EncodedPixels'].str.len().min()\n    11\n\nMy submissions for each video are generated by an adapted version of your script (which was not exactly doing what it said in the description in the first place). My prediction file has a reasonable size of 16Mb, and it always fails after 32 seconds. So what is the issue here?",
    "329893": "Forever Young, could you share your experience on how to solve your issue? I saw that you ranked the 4th now which means that your ERROR is somewhat solved. No?",
    "330092": "It seems that i have too many predictions."
  },
  "source": "meta"
}