{
  "id": 177247,
  "title": "Convert audio to images for analysis",
  "url": "/competitions/birdsong-recognition/discussion/177247",
  "author_name": "",
  "post_date": "2020-08-25T08:52:56.739553200Z",
  "votes": null,
  "comment_count": 1,
  "views": 0,
  "content": "<p>Hi everyone, </p>\n<p>I'm currently transforming audio data into grey-scaled images but stucked in the limitation of disk size of output per notebook.</p>\n<blockquote>\n  <p>OSError: [Errno 28] No space left on device</p>\n</blockquote>\n<p>All the audio datasets is around 24 GB so the converted images would some how to be 20 GB. Do you guys know anyway to save this data into notebooks output?</p>\n<p>This is the output of image from an audio: </p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F4809735%2F4a9f3af08c1fb75157aa9b536fdc32e1%2FXC135454.png?generation=1598345496182724&amp;alt=media\" alt=\"\"></p>\n<p>Thank you everyone!</p>",
  "messages": [
    {
      "id": "984738",
      "postDate": "08/25/2020 08:52:56",
      "content": "<p>Hi everyone, </p>\n<p>I'm currently transforming audio data into grey-scaled images but stucked in the limitation of disk size of output per notebook.</p>\n<blockquote>\n  <p>OSError: [Errno 28] No space left on device</p>\n</blockquote>\n<p>All the audio datasets is around 24 GB so the converted images would some how to be 20 GB. Do you guys know anyway to save this data into notebooks output?</p>\n<p>This is the output of image from an audio: </p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F4809735%2F4a9f3af08c1fb75157aa9b536fdc32e1%2FXC135454.png?generation=1598345496182724&amp;alt=media\" alt=\"\"></p>\n<p>Thank you everyone!</p>",
      "rawMarkdown": "Hi everyone, \n\nI'm currently transforming audio data into grey-scaled images but stucked in the limitation of disk size of output per notebook.\n\n> OSError: [Errno 28] No space left on device\n\nAll the audio datasets is around 24 GB so the converted images would some how to be 20 GB. Do you guys know anyway to save this data into notebooks output?\n\nThis is the output of image from an audio: \n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F4809735%2F4a9f3af08c1fb75157aa9b536fdc32e1%2FXC135454.png?generation=1598345496182724&alt=media)\n\nThank you everyone!",
      "votes": null
    },
    {
      "id": "989662",
      "postDate": "08/29/2020 02:40:15",
      "content": "<p>I had this issues and ran it in paperspace since you can save it in a persistent storage.  If it crashed after a few hours, all of the images were saved and I could pick up where it left off</p>",
      "rawMarkdown": "I had this issues and ran it in paperspace since you can save it in a persistent storage.  If it crashed after a few hours, all of the images were saved and I could pick up where it left off",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 989662,
      "author_name": "neilmacaloney",
      "author_url": "",
      "post_date": "08/29/2020 02:40:15",
      "content": "<p>I had this issues and ran it in paperspace since you can save it in a persistent storage.  If it crashed after a few hours, all of the images were saved and I could pick up where it left off</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "984738": "Hi everyone, \n\nI'm currently transforming audio data into grey-scaled images but stucked in the limitation of disk size of output per notebook.\n\n> OSError: [Errno 28] No space left on device\n\nAll the audio datasets is around 24 GB so the converted images would some how to be 20 GB. Do you guys know anyway to save this data into notebooks output?\n\nThis is the output of image from an audio: \n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F4809735%2F4a9f3af08c1fb75157aa9b536fdc32e1%2FXC135454.png?generation=1598345496182724&alt=media)\n\nThank you everyone!",
    "989662": "I had this issues and ran it in paperspace since you can save it in a persistent storage.  If it crashed after a few hours, all of the images were saved and I could pick up where it left off"
  },
  "source": "meta"
}