{
  "id": 48969,
  "title": "Error during submission ",
  "url": "/competitions/data-science-bowl-2018/discussion/48969",
  "author_name": "",
  "post_date": "2018-02-05T11:04:19.005688800Z",
  "votes": null,
  "comment_count": 1,
  "views": 0,
  "content": "<p>I am wondering, what could be the reason for this error, although I checked the RLE and those are not exceeding the image dimensions. </p>\n\n<p>4 Exceptions:\n    One or more submitted values exceeded the image dimensions.\n    One or more submitted values exceeded the image dimensions.\n    One or more submitted values exceeded the image dimensions.\n    One or more submitted values exceeded the image dimensions.</p>",
  "messages": [
    {
      "id": "278090",
      "postDate": "02/05/2018 11:04:19",
      "content": "<p>I am wondering, what could be the reason for this error, although I checked the RLE and those are not exceeding the image dimensions. </p>\n\n<p>4 Exceptions:\n    One or more submitted values exceeded the image dimensions.\n    One or more submitted values exceeded the image dimensions.\n    One or more submitted values exceeded the image dimensions.\n    One or more submitted values exceeded the image dimensions.</p>",
      "rawMarkdown": "I am wondering, what could be the reason for this error, although I checked the RLE and those are not exceeding the image dimensions. \n\n  4 Exceptions:\n    One or more submitted values exceeded the image dimensions.\n    One or more submitted values exceeded the image dimensions.\n    One or more submitted values exceeded the image dimensions.\n    One or more submitted values exceeded the image dimensions.",
      "votes": null
    },
    {
      "id": "278128",
      "postDate": "02/05/2018 12:41:50",
      "content": "<p>It can be for multiple reasons but most likely you do not use the original shape of the image (width, height).</p>\n\n<p>If your solution uses a different input dim, than use that and after the prediction just resize the mask image back, to it's original shape.</p>\n\n<p>Once it happened to me that the prediction doesn't contain any mask and if the rle conversion is not \"prepared\" for that than it can be the origin of the error.</p>",
      "rawMarkdown": "It can be for multiple reasons but most likely you do not use the original shape of the image (width, height).\n\nIf your solution uses a different input dim, than use that and after the prediction just resize the mask image back, to it's original shape.\n\nOnce it happened to me that the prediction doesn't contain any mask and if the rle conversion is not \"prepared\" for that than it can be the origin of the error.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 278128,
      "author_name": "gaborvecsei",
      "author_url": "",
      "post_date": "02/05/2018 12:41:50",
      "content": "<p>It can be for multiple reasons but most likely you do not use the original shape of the image (width, height).</p>\n\n<p>If your solution uses a different input dim, than use that and after the prediction just resize the mask image back, to it's original shape.</p>\n\n<p>Once it happened to me that the prediction doesn't contain any mask and if the rle conversion is not \"prepared\" for that than it can be the origin of the error.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "278090": "I am wondering, what could be the reason for this error, although I checked the RLE and those are not exceeding the image dimensions. \n\n  4 Exceptions:\n    One or more submitted values exceeded the image dimensions.\n    One or more submitted values exceeded the image dimensions.\n    One or more submitted values exceeded the image dimensions.\n    One or more submitted values exceeded the image dimensions.",
    "278128": "It can be for multiple reasons but most likely you do not use the original shape of the image (width, height).\n\nIf your solution uses a different input dim, than use that and after the prediction just resize the mask image back, to it's original shape.\n\nOnce it happened to me that the prediction doesn't contain any mask and if the rle conversion is not \"prepared\" for that than it can be the origin of the error."
  },
  "source": "meta"
}