{
  "id": 206137,
  "title": "Speeding Up-Preprocessing 40%: Lycon vs. Albumentations",
  "url": "/competitions/ranzcr-clip-catheter-line-classification/discussion/206137",
  "author_name": "Zac Dannelly",
  "post_date": "2020-12-23T11:42:12.661000",
  "votes": 5,
  "comment_count": 6,
  "views": 0,
  "content": "<p>I have traditionally seen <a href=\"https://github.com/albumentations-team/albumentations\" target=\"_blank\">albumentations</a> as one of the most common pre-processing libraries in these sorts of competitoions. Howver, recently I have also come across <a href=\"https://github.com/ethereon/lycon\" target=\"_blank\">lycon</a> which at least for initial re-sizeing seems to have a speed up advantage.</p>",
  "messages": [
    {
      "id": 1123634,
      "postDate": "2020-12-23T11:42:12.660Z",
      "content": "<p>I have traditionally seen <a href=\"https://github.com/albumentations-team/albumentations\" target=\"_blank\">albumentations</a> as one of the most common pre-processing libraries in these sorts of competitoions. Howver, recently I have also come across <a href=\"https://github.com/ethereon/lycon\" target=\"_blank\">lycon</a> which at least for initial re-sizeing seems to have a speed up advantage.</p>",
      "rawMarkdown": "I have traditionally seen [albumentations](https://github.com/albumentations-team/albumentations) as one of the most common pre-processing libraries in these sorts of competitoions. Howver, recently I have also come across [lycon](https://github.com/ethereon/lycon) which at least for initial re-sizeing seems to have a speed up advantage.",
      "votes": 5
    },
    {
      "id": 1123911,
      "postDate": "2020-12-23T15:22:13.460Z",
      "content": "<p>Thanks for sharing! According to their benchmarks its pretty much even with opencv so albumentations is probably as fast and gives more options </p>",
      "rawMarkdown": "Thanks for sharing! According to their benchmarks its pretty much even with opencv so albumentations is probably as fast and gives more options ",
      "votes": 3
    },
    {
      "id": 1123940,
      "postDate": "2020-12-23T15:47:33.253Z",
      "content": "<p>Is there a dataset in Kaggle with that library?</p>",
      "rawMarkdown": "Is there a dataset in Kaggle with that library?",
      "replies": [
        {
          "id": 1124411,
          "postDate": "2020-12-23T23:05:42.617Z",
          "content": "<p>Gave a quick search but didn't see any. I will give a look across some datasets and maybe throw a notebook together over the weekend.</p>",
          "rawMarkdown": "Gave a quick search but didn't see any. I will give a look across some datasets and maybe throw a notebook together over the weekend."
        },
        {
          "id": 1144775,
          "postDate": "2021-01-08T17:01:52.497Z",
          "content": "<p>Lycon was used pretty extensively by a number of people in the steganography competition, so check for kernels there,</p>",
          "rawMarkdown": "Lycon was used pretty extensively by a number of people in the steganography competition, so check for kernels there,",
          "votes": 1
        }
      ]
    },
    {
      "id": 1124410,
      "postDate": "2020-12-23T23:05:33.293Z",
      "rawMarkdown": "",
      "isDeleted": true
    },
    {
      "id": 1124933,
      "postDate": "2020-12-24T09:27:21.297Z",
      "content": "<p>Thanks for the information <a href=\"https://www.kaggle.com/dannellyz\" target=\"_blank\">@dannellyz</a> </p>",
      "rawMarkdown": "Thanks for the information @dannellyz ",
      "votes": 1
    }
  ],
  "comments": [
    {
      "id": 1123911,
      "author_name": "Yann Majewski",
      "author_url": "",
      "post_date": "2020-12-23T15:22:13.460000",
      "content": "<p>Thanks for sharing! According to their benchmarks its pretty much even with opencv so albumentations is probably as fast and gives more options </p>",
      "votes": 3,
      "replies": []
    },
    {
      "id": 1123940,
      "author_name": "Hiram Coria 🧬",
      "author_url": "",
      "post_date": "2020-12-23T15:47:33.253000",
      "content": "<p>Is there a dataset in Kaggle with that library?</p>",
      "votes": 0,
      "replies": [
        {
          "id": 1124411,
          "author_name": "Zac Dannelly",
          "author_url": "",
          "post_date": "2020-12-23T23:05:42.617000",
          "content": "<p>Gave a quick search but didn't see any. I will give a look across some datasets and maybe throw a notebook together over the weekend.</p>",
          "votes": 0,
          "replies": []
        },
        {
          "id": 1144775,
          "author_name": "عثمان",
          "author_url": "",
          "post_date": "2021-01-08T17:01:52.497000",
          "content": "<p>Lycon was used pretty extensively by a number of people in the steganography competition, so check for kernels there,</p>",
          "votes": 1,
          "replies": []
        }
      ]
    },
    {
      "id": 1124410,
      "author_name": "",
      "author_url": "",
      "post_date": "2020-12-23T23:05:33.293000",
      "content": "",
      "votes": 0,
      "replies": []
    },
    {
      "id": 1124933,
      "author_name": "Saurabh Shahane",
      "author_url": "",
      "post_date": "2020-12-24T09:27:21.297000",
      "content": "<p>Thanks for the information <a href=\"https://www.kaggle.com/dannellyz\" target=\"_blank\">@dannellyz</a> </p>",
      "votes": 1,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1123634": "I have traditionally seen [albumentations](https://github.com/albumentations-team/albumentations) as one of the most common pre-processing libraries in these sorts of competitoions. Howver, recently I have also come across [lycon](https://github.com/ethereon/lycon) which at least for initial re-sizeing seems to have a speed up advantage.",
    "1123911": "Thanks for sharing! According to their benchmarks its pretty much even with opencv so albumentations is probably as fast and gives more options ",
    "1123940": "Is there a dataset in Kaggle with that library?",
    "1124410": "",
    "1124933": "Thanks for the information @dannellyz "
  }
}