{
  "id": 494250,
  "title": "Depth map processing",
  "url": "/competitions/cvpr-metafood-3d-food-reconstruction-challenge/discussion/494250",
  "author_name": "",
  "post_date": "2024-04-16T14:23:57.991930200Z",
  "votes": 2,
  "comment_count": 1,
  "views": 0,
  "content": "<p>Hello! <br>\nI noticed that the depth map is stored as a jpg file. How can we convert it to physical units? </p>",
  "messages": [
    {
      "id": "2755468",
      "postDate": "04/16/2024 14:23:57",
      "content": "<p>Hello! <br>\nI noticed that the depth map is stored as a jpg file. How can we convert it to physical units? </p>",
      "rawMarkdown": "Hello! \nI noticed that the depth map is stored as a jpg file. How can we convert it to physical units?",
      "votes": null
    },
    {
      "id": "2770384",
      "postDate": "04/23/2024 20:10:37",
      "content": "<p>Hello, we used Record3D app to capture the images and depth. We have created a python script to extract the depth information based on the Record3D app description. You can find the script in the convert_depth folder in the dataset.</p>",
      "rawMarkdown": "Hello, we used Record3D app to capture the images and depth. We have created a python script to extract the depth information based on the Record3D app description. You can find the script in the convert_depth folder in the dataset.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2770384,
      "author_name": "metafoodcvpr",
      "author_url": "",
      "post_date": "04/23/2024 20:10:37",
      "content": "<p>Hello, we used Record3D app to capture the images and depth. We have created a python script to extract the depth information based on the Record3D app description. You can find the script in the convert_depth folder in the dataset.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2755468": "Hello! \nI noticed that the depth map is stored as a jpg file. How can we convert it to physical units?",
    "2770384": "Hello, we used Record3D app to capture the images and depth. We have created a python script to extract the depth information based on the Record3D app description. You can find the script in the convert_depth folder in the dataset."
  },
  "source": "meta"
}