{
  "id": 98845,
  "title": "Resizing",
  "url": "/competitions/aptos2019-blindness-detection/discussion/98845",
  "author_name": "",
  "post_date": "2019-07-07T00:03:10.067754800Z",
  "votes": null,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Hello!\nHow can I bring the data to the same size?\nAdding black areas on the sides can be useful?</p>",
  "messages": [
    {
      "id": "569561",
      "postDate": "07/07/2019 00:03:10",
      "content": "<p>Hello!\nHow can I bring the data to the same size?\nAdding black areas on the sides can be useful?</p>",
      "rawMarkdown": "Hello!\nHow can I bring the data to the same size?\nAdding black areas on the sides can be useful?",
      "votes": null
    },
    {
      "id": "569564",
      "postDate": "07/07/2019 00:16:50",
      "content": "<p>If you are resizing images of different shapes (Image Augmentation), commonly used methods are CROP, PAD, or SQUISH.</p>",
      "rawMarkdown": "If you are resizing images of different shapes (Image Augmentation), commonly used methods are CROP, PAD, or SQUISH.",
      "votes": null
    },
    {
      "id": "569585",
      "postDate": "07/07/2019 01:44:16",
      "content": "<p>Hi, <a href=\"/ihelon\">@ihelon</a> you can use the Keras ImageDataGenerator for pre-processing\n<a href=\"https://keras.io/preprocessing/image/\">https://keras.io/preprocessing/image/</a></p>",
      "rawMarkdown": "Hi, @ihelon you can use the Keras ImageDataGenerator for pre-processing\nhttps://keras.io/preprocessing/image/",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 569564,
      "author_name": "digitalvirtuoso",
      "author_url": "",
      "post_date": "07/07/2019 00:16:50",
      "content": "<p>If you are resizing images of different shapes (Image Augmentation), commonly used methods are CROP, PAD, or SQUISH.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 569585,
      "author_name": "cv13j0",
      "author_url": "",
      "post_date": "07/07/2019 01:44:16",
      "content": "<p>Hi, <a href=\"/ihelon\">@ihelon</a> you can use the Keras ImageDataGenerator for pre-processing\n<a href=\"https://keras.io/preprocessing/image/\">https://keras.io/preprocessing/image/</a></p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "569561": "Hello!\nHow can I bring the data to the same size?\nAdding black areas on the sides can be useful?",
    "569564": "If you are resizing images of different shapes (Image Augmentation), commonly used methods are CROP, PAD, or SQUISH.",
    "569585": "Hi, @ihelon you can use the Keras ImageDataGenerator for pre-processing\nhttps://keras.io/preprocessing/image/"
  },
  "source": "meta"
}