{
  "id": 475004,
  "title": "Please Help!",
  "url": "/competitions/blood-vessel-segmentation/discussion/475004",
  "author_name": "",
  "post_date": "2024-02-06T18:55:02.954690900Z",
  "votes": 1,
  "comment_count": 2,
  "views": 0,
  "content": "<p>I did my training in MATLAB and I'm trying to import the model into the kaggle notebook. I have the .onnx file, and have been trying to find a way to use the onnxruntime library but am unsure of how to use it since I can't use pip to install it with the internet turned off. </p>\n<p>I also have the model as an .h5 file. I'm running the exact same inference stack in PyCharm, and getting proper outputs, but when I run inference in Kaggle Notebook, the outputs are not close.</p>\n<p>I uploaded my model file to the input data of the notebook and run the script </p>\n<p>Any suggestions?</p>",
  "messages": [
    {
      "id": "2640253",
      "postDate": "02/06/2024 18:55:02",
      "content": "<p>I did my training in MATLAB and I'm trying to import the model into the kaggle notebook. I have the .onnx file, and have been trying to find a way to use the onnxruntime library but am unsure of how to use it since I can't use pip to install it with the internet turned off. </p>\n<p>I also have the model as an .h5 file. I'm running the exact same inference stack in PyCharm, and getting proper outputs, but when I run inference in Kaggle Notebook, the outputs are not close.</p>\n<p>I uploaded my model file to the input data of the notebook and run the script </p>\n<p>Any suggestions?</p>",
      "rawMarkdown": "I did my training in MATLAB and I'm trying to import the model into the kaggle notebook. I have the .onnx file, and have been trying to find a way to use the onnxruntime library but am unsure of how to use it since I can't use pip to install it with the internet turned off. \n\nI also have the model as an .h5 file. I'm running the exact same inference stack in PyCharm, and getting proper outputs, but when I run inference in Kaggle Notebook, the outputs are not close.\n\nI uploaded my model file to the input data of the notebook and run the script \n\nAny suggestions?",
      "votes": null
    },
    {
      "id": "2640286",
      "postDate": "02/06/2024 19:38:18",
      "content": "<p>You can install any packages without internet. Follow this <a href=\"https://www.kaggle.com/code/samuelepino/pip-installing-packages-with-no-internet\" target=\"_blank\">link</a></p>",
      "rawMarkdown": "You can install any packages without internet. Follow this [link](https://www.kaggle.com/code/samuelepino/pip-installing-packages-with-no-internet)",
      "votes": null
    },
    {
      "id": "2640425",
      "postDate": "02/06/2024 23:27:59",
      "content": "<p>Good to know, I fixed it without it, but great information for the future. </p>",
      "rawMarkdown": "Good to know, I fixed it without it, but great information for the future.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2640286,
      "author_name": "recursingfeynman",
      "author_url": "",
      "post_date": "02/06/2024 19:38:18",
      "content": "<p>You can install any packages without internet. Follow this <a href=\"https://www.kaggle.com/code/samuelepino/pip-installing-packages-with-no-internet\" target=\"_blank\">link</a></p>",
      "votes": null,
      "replies": [
        {
          "id": 2640425,
          "author_name": "alexknapp",
          "author_url": "",
          "post_date": "02/06/2024 23:27:59",
          "content": "<p>Good to know, I fixed it without it, but great information for the future. </p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "2640253": "I did my training in MATLAB and I'm trying to import the model into the kaggle notebook. I have the .onnx file, and have been trying to find a way to use the onnxruntime library but am unsure of how to use it since I can't use pip to install it with the internet turned off. \n\nI also have the model as an .h5 file. I'm running the exact same inference stack in PyCharm, and getting proper outputs, but when I run inference in Kaggle Notebook, the outputs are not close.\n\nI uploaded my model file to the input data of the notebook and run the script \n\nAny suggestions?",
    "2640286": "You can install any packages without internet. Follow this [link](https://www.kaggle.com/code/samuelepino/pip-installing-packages-with-no-internet)",
    "2640425": "Good to know, I fixed it without it, but great information for the future."
  },
  "source": "meta"
}