{
  "id": 201955,
  "title": "Submission Error",
  "url": "/competitions/cassava-leaf-disease-classification/discussion/201955",
  "author_name": "",
  "post_date": "2020-12-07T13:46:05.307307400Z",
  "votes": 1,
  "comment_count": 4,
  "views": 0,
  "content": "<p>I have tried numerous kernels but nothing seems to be working when I click on submit even after 9 hours I get an error:  Submission Error.</p>\n<p>Any workaround for this?</p>",
  "messages": [
    {
      "id": "1105052",
      "postDate": "12/07/2020 13:46:05",
      "content": "<p>I have tried numerous kernels but nothing seems to be working when I click on submit even after 9 hours I get an error:  Submission Error.</p>\n<p>Any workaround for this?</p>",
      "rawMarkdown": "I have tried numerous kernels but nothing seems to be working when I click on submit even after 9 hours I get an error:  Submission Error.\n\n\nAny workaround for this?",
      "votes": null
    },
    {
      "id": "1105071",
      "postDate": "12/07/2020 13:56:52",
      "content": "<p>Can you please post more details? What framework, batch size, model architecture, test images input size are you using?</p>",
      "rawMarkdown": "Can you please post more details? What framework, batch size, model architecture, test images input size are you using?",
      "votes": null
    },
    {
      "id": "1105074",
      "postDate": "12/07/2020 13:59:20",
      "content": "<p>I am following your training kernel only :) </p>\n<p>I am doing an image by image read and then predicting it through the model.</p>",
      "rawMarkdown": "I am following your training kernel only :) \n\nI am doing an image by image read and then predicting it through the model.",
      "votes": null
    },
    {
      "id": "1105080",
      "postDate": "12/07/2020 14:02:42",
      "content": "<p>If you read image by image it can time out because there are close to 15000 images. You can load them in a data loader with a batch size of say 64 or 128. Please find the inference kernel <a href=\"https://www.kaggle.com/harveenchadha/efficientnetb3-baseline-inference-keras-tf2\" target=\"_blank\">here</a></p>",
      "rawMarkdown": "If you read image by image it can time out because there are close to 15000 images. You can load them in a data loader with a batch size of say 64 or 128. Please find the inference kernel [here](https://www.kaggle.com/harveenchadha/efficientnetb3-baseline-inference-keras-tf2)",
      "votes": null
    },
    {
      "id": "1105284",
      "postDate": "12/07/2020 18:05:20",
      "content": "<p><a href=\"https://www.kaggle.com/epochs19/superbeginner-training-notebook\" target=\"_blank\">https://www.kaggle.com/epochs19/superbeginner-training-notebook</a><br>\nHope this helps</p>",
      "rawMarkdown": "https://www.kaggle.com/epochs19/superbeginner-training-notebook\nHope this helps",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1105071,
      "author_name": "harveenchadha",
      "author_url": "",
      "post_date": "12/07/2020 13:56:52",
      "content": "<p>Can you please post more details? What framework, batch size, model architecture, test images input size are you using?</p>",
      "votes": null,
      "replies": [
        {
          "id": 1105074,
          "author_name": "rahultiwari1995",
          "author_url": "",
          "post_date": "12/07/2020 13:59:20",
          "content": "<p>I am following your training kernel only :) </p>\n<p>I am doing an image by image read and then predicting it through the model.</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 1105080,
          "author_name": "harveenchadha",
          "author_url": "",
          "post_date": "12/07/2020 14:02:42",
          "content": "<p>If you read image by image it can time out because there are close to 15000 images. You can load them in a data loader with a batch size of say 64 or 128. Please find the inference kernel <a href=\"https://www.kaggle.com/harveenchadha/efficientnetb3-baseline-inference-keras-tf2\" target=\"_blank\">here</a></p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1105284,
      "author_name": "epochs19",
      "author_url": "",
      "post_date": "12/07/2020 18:05:20",
      "content": "<p><a href=\"https://www.kaggle.com/epochs19/superbeginner-training-notebook\" target=\"_blank\">https://www.kaggle.com/epochs19/superbeginner-training-notebook</a><br>\nHope this helps</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1105052": "I have tried numerous kernels but nothing seems to be working when I click on submit even after 9 hours I get an error:  Submission Error.\n\n\nAny workaround for this?",
    "1105071": "Can you please post more details? What framework, batch size, model architecture, test images input size are you using?",
    "1105074": "I am following your training kernel only :) \n\nI am doing an image by image read and then predicting it through the model.",
    "1105080": "If you read image by image it can time out because there are close to 15000 images. You can load them in a data loader with a batch size of say 64 or 128. Please find the inference kernel [here](https://www.kaggle.com/harveenchadha/efficientnetb3-baseline-inference-keras-tf2)",
    "1105284": "https://www.kaggle.com/epochs19/superbeginner-training-notebook\nHope this helps"
  },
  "source": "meta"
}