{
  "id": 414525,
  "title": "[LB 0.246] detectron2 inference",
  "url": "/competitions/hubmap-hacking-the-human-vasculature/discussion/414525",
  "author_name": "",
  "post_date": "2023-06-02T03:23:56.615960700Z",
  "votes": 6,
  "comment_count": 6,
  "views": 0,
  "content": "<p>I want to share my notebook <a href=\"https://www.kaggle.com/code/plugin1689/inference-detectron2\" target=\"_blank\">https://www.kaggle.com/code/plugin1689/inference-detectron2</a> as baseline which use single model (x101fpn) and default configs, I am looking forward to learning from you👀</p>",
  "messages": [
    {
      "id": "2284437",
      "postDate": "06/02/2023 03:23:56",
      "content": "<p>I want to share my notebook <a href=\"https://www.kaggle.com/code/plugin1689/inference-detectron2\" target=\"_blank\">https://www.kaggle.com/code/plugin1689/inference-detectron2</a> as baseline which use single model (x101fpn) and default configs, I am looking forward to learning from you👀</p>",
      "rawMarkdown": "I want to share my notebook https://www.kaggle.com/code/plugin1689/inference-detectron2 as baseline which use single model (x101fpn) and default configs, I am looking forward to learning from you👀",
      "votes": null
    },
    {
      "id": "2285683",
      "postDate": "06/02/2023 22:39:36",
      "content": "<p>If you don't mind, could you publish detectron2-wheel?</p>",
      "rawMarkdown": "If you don't mind, could you publish detectron2-wheel?",
      "votes": null
    },
    {
      "id": "2285697",
      "postDate": "06/02/2023 23:20:16",
      "content": "<p>I just downloaded it from detectron2 github</p>",
      "rawMarkdown": "I just downloaded it from detectron2 github",
      "votes": null
    },
    {
      "id": "2285699",
      "postDate": "06/02/2023 23:26:16",
      "content": "<p><a href=\"https://www.kaggle.com/abebe9849\" target=\"_blank\">@abebe9849</a> please refer to <a href=\"https://www.kaggle.com/code/plugin1689/detectron2-wheel/\" target=\"_blank\">https://www.kaggle.com/code/plugin1689/detectron2-wheel/</a></p>",
      "rawMarkdown": "abebe9849 please refer to https://www.kaggle.com/code/plugin1689/detectron2-wheel/",
      "votes": null
    },
    {
      "id": "2285942",
      "postDate": "06/03/2023 05:44:49",
      "content": "<p>if you find my notebook useful, please don't hesitate a thumb up👀                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      </p>",
      "rawMarkdown": "if you find my notebook useful, please don't hesitate a thumb up👀",
      "votes": null
    },
    {
      "id": "2289200",
      "postDate": "06/06/2023 02:22:47",
      "content": "<p>Can you share a training baseline for those of us who does not know how to train a detectron2 model with the dataset. What you shared is great for understanding how to predict with detetron2 but may not be helpful for those who don't know how to train a detectron2 model</p>",
      "rawMarkdown": "Can you share a training baseline for those of us who does not know how to train a detectron2 model with the dataset. What you shared is great for understanding how to predict with detetron2 but may not be helpful for those who don't know how to train a detectron2 model",
      "votes": null
    },
    {
      "id": "2290506",
      "postDate": "06/06/2023 21:47:23",
      "content": "<p>Thanks for sharing. <br>\nI was trying to figure out how to use detectron2 in the other competition but with no luck.<br>\nWould you mind sharing a started code, if you don't mind?</p>",
      "rawMarkdown": "Thanks for sharing. \nI was trying to figure out how to use detectron2 in the other competition but with no luck.\nWould you mind sharing a started code, if you don't mind?",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2285683,
      "author_name": "abebe9849",
      "author_url": "",
      "post_date": "06/02/2023 22:39:36",
      "content": "<p>If you don't mind, could you publish detectron2-wheel?</p>",
      "votes": null,
      "replies": [
        {
          "id": 2285697,
          "author_name": "plugin1689",
          "author_url": "",
          "post_date": "06/02/2023 23:20:16",
          "content": "<p>I just downloaded it from detectron2 github</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 2285699,
      "author_name": "plugin1689",
      "author_url": "",
      "post_date": "06/02/2023 23:26:16",
      "content": "<p><a href=\"https://www.kaggle.com/abebe9849\" target=\"_blank\">@abebe9849</a> please refer to <a href=\"https://www.kaggle.com/code/plugin1689/detectron2-wheel/\" target=\"_blank\">https://www.kaggle.com/code/plugin1689/detectron2-wheel/</a></p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 2285942,
      "author_name": "plugin1689",
      "author_url": "",
      "post_date": "06/03/2023 05:44:49",
      "content": "<p>if you find my notebook useful, please don't hesitate a thumb up👀                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 2289200,
      "author_name": "alabibojesomo",
      "author_url": "",
      "post_date": "06/06/2023 02:22:47",
      "content": "<p>Can you share a training baseline for those of us who does not know how to train a detectron2 model with the dataset. What you shared is great for understanding how to predict with detetron2 but may not be helpful for those who don't know how to train a detectron2 model</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 2290506,
      "author_name": "zhugds",
      "author_url": "",
      "post_date": "06/06/2023 21:47:23",
      "content": "<p>Thanks for sharing. <br>\nI was trying to figure out how to use detectron2 in the other competition but with no luck.<br>\nWould you mind sharing a started code, if you don't mind?</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2284437": "I want to share my notebook https://www.kaggle.com/code/plugin1689/inference-detectron2 as baseline which use single model (x101fpn) and default configs, I am looking forward to learning from you👀",
    "2285683": "If you don't mind, could you publish detectron2-wheel?",
    "2285697": "I just downloaded it from detectron2 github",
    "2285699": "abebe9849 please refer to https://www.kaggle.com/code/plugin1689/detectron2-wheel/",
    "2285942": "if you find my notebook useful, please don't hesitate a thumb up👀",
    "2289200": "Can you share a training baseline for those of us who does not know how to train a detectron2 model with the dataset. What you shared is great for understanding how to predict with detetron2 but may not be helpful for those who don't know how to train a detectron2 model",
    "2290506": "Thanks for sharing. \nI was trying to figure out how to use detectron2 in the other competition but with no luck.\nWould you mind sharing a started code, if you don't mind?"
  },
  "source": "meta"
}