{
  "id": 53248,
  "title": "Mask R-CNN implementation in pytorch?",
  "url": "/competitions/data-science-bowl-2018/discussion/53248",
  "author_name": "",
  "post_date": "2018-03-28T14:55:05.753019900Z",
  "votes": null,
  "comment_count": 1,
  "views": 0,
  "content": "<p>Are there any libraries out there which has implemented the Mask R-CNN using pytorch? \nI have found this one implemented by Matterport using TensorFlow:  <a href=\"https://github.com/matterport/Mask_RCNN\">https://github.com/matterport/Mask_RCNN</a></p>",
  "messages": [
    {
      "id": "305168",
      "postDate": "03/28/2018 14:55:05",
      "content": "<p>Are there any libraries out there which has implemented the Mask R-CNN using pytorch? \nI have found this one implemented by Matterport using TensorFlow:  <a href=\"https://github.com/matterport/Mask_RCNN\">https://github.com/matterport/Mask_RCNN</a></p>",
      "rawMarkdown": "Are there any libraries out there which has implemented the Mask R-CNN using pytorch? \nI have found this one implemented by Matterport using TensorFlow:  https://github.com/matterport/Mask_RCNN",
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    {
      "id": "305184",
      "postDate": "03/28/2018 15:12:23",
      "content": "<p><a href=\"https://www.kaggle.com/c/data-science-bowl-2018/discussion/49692\">https://www.kaggle.com/c/data-science-bowl-2018/discussion/49692</a></p>",
      "rawMarkdown": "https://www.kaggle.com/c/data-science-bowl-2018/discussion/49692",
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  "comments": [
    {
      "id": 305184,
      "author_name": "wayne999",
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      "post_date": "03/28/2018 15:12:23",
      "content": "<p><a href=\"https://www.kaggle.com/c/data-science-bowl-2018/discussion/49692\">https://www.kaggle.com/c/data-science-bowl-2018/discussion/49692</a></p>",
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  "raw_markdown_by_id": {
    "305168": "Are there any libraries out there which has implemented the Mask R-CNN using pytorch? \nI have found this one implemented by Matterport using TensorFlow:  https://github.com/matterport/Mask_RCNN",
    "305184": "https://www.kaggle.com/c/data-science-bowl-2018/discussion/49692"
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}