{
  "id": 167518,
  "title": "🔬 Skin Lesions Detection",
  "url": "/competitions/siim-isic-melanoma-classification/discussion/167518",
  "author_name": "",
  "post_date": "2020-07-16T21:51:00.823882800Z",
  "votes": 6,
  "comment_count": 2,
  "views": 0,
  "content": "<p>As I'm trying to learn more about the OpenCV library in Python, I found the perfect way to share what I learned so far, I've published this kernel where I use OpenCV to extract Skin Lesions from the picture, I would like your feedback on it, it is a short kernel.</p>\n\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F848555%2F64334fcf86e072c30435a1c148aa7459%2Flink.PNG?generation=1594936206193090&amp;alt=media\" alt=\"\"></p>\n\n<h1><a href=\"https://www.kaggle.com/ishivinal/opencv-skin-lesions-detection\">Link</a></h1>",
  "messages": [
    {
      "id": "932256",
      "postDate": "07/16/2020 21:51:00",
      "content": "<p>As I'm trying to learn more about the OpenCV library in Python, I found the perfect way to share what I learned so far, I've published this kernel where I use OpenCV to extract Skin Lesions from the picture, I would like your feedback on it, it is a short kernel.</p>\n\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F848555%2F64334fcf86e072c30435a1c148aa7459%2Flink.PNG?generation=1594936206193090&amp;alt=media\" alt=\"\"></p>\n\n<h1><a href=\"https://www.kaggle.com/ishivinal/opencv-skin-lesions-detection\">Link</a></h1>",
      "rawMarkdown": "As I'm trying to learn more about the OpenCV library in Python, I found the perfect way to share what I learned so far, I've published this kernel where I use OpenCV to extract Skin Lesions from the picture, I would like your feedback on it, it is a short kernel.\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F848555%2F64334fcf86e072c30435a1c148aa7459%2Flink.PNG?generation=1594936206193090&amp;alt=media)\n\n# [Link](https://www.kaggle.com/ishivinal/opencv-skin-lesions-detection)",
      "votes": null
    },
    {
      "id": "932713",
      "postDate": "07/17/2020 08:26:14",
      "content": "<p>Very Good Work</p>",
      "rawMarkdown": "Very Good Work",
      "votes": null
    },
    {
      "id": "932759",
      "postDate": "07/17/2020 09:00:10",
      "content": "<p><a href=\"/dssant85\">@dssant85</a> Thanks, Would you mind Upvoting the kernel as well </p>",
      "rawMarkdown": "dssant85 Thanks, Would you mind Upvoting the kernel as well",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 932713,
      "author_name": "dssant85",
      "author_url": "",
      "post_date": "07/17/2020 08:26:14",
      "content": "<p>Very Good Work</p>",
      "votes": null,
      "replies": [
        {
          "id": 932759,
          "author_name": "ishivinal",
          "author_url": "",
          "post_date": "07/17/2020 09:00:10",
          "content": "<p><a href=\"/dssant85\">@dssant85</a> Thanks, Would you mind Upvoting the kernel as well </p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "932256": "As I'm trying to learn more about the OpenCV library in Python, I found the perfect way to share what I learned so far, I've published this kernel where I use OpenCV to extract Skin Lesions from the picture, I would like your feedback on it, it is a short kernel.\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F848555%2F64334fcf86e072c30435a1c148aa7459%2Flink.PNG?generation=1594936206193090&amp;alt=media)\n\n# [Link](https://www.kaggle.com/ishivinal/opencv-skin-lesions-detection)",
    "932713": "Very Good Work",
    "932759": "dssant85 Thanks, Would you mind Upvoting the kernel as well"
  },
  "source": "meta"
}