{
  "id": 400323,
  "title": "🥽 Test your TFLite Model in Real-Time using your Webcam!",
  "url": "/competitions/asl-signs/discussion/400323",
  "author_name": "",
  "post_date": "2023-04-07T18:56:15.163233Z",
  "votes": 14,
  "comment_count": 1,
  "views": 0,
  "content": "<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F5746197%2Fe48a040258628838c1dfc8a896407446%2FScreen%20Shot%202023-04-06%20at%207.19.50%20PM.png?generation=1680893513417169&amp;alt=media\" alt=\"\"></p>\n<p><strong><a href=\"https://www.kaggle.com/code/josephzahar/real-time-asl-recognition-using-webcam-feed\" target=\"_blank\">In this notebook I present you:</a></strong></p>\n<ul>\n<li>The use of a pre-trained model allows for quick and accurate recognition of ASL signs, without the need for time-consuming training on large datasets.</li>\n<li><a href=\"https://www.kaggle.com/code/josephzahar/distance-angle-based-features-using-keras\" target=\"_blank\">The distance and angle-based features used in the model are effective in capturing the unique characteristics of each sign, making it robust to variations in lighting, hand placement, and background.</a></li>\n<li>The real-time nature of the script allows for immediate feedback to the user, making it useful for testing and refining algorithms for ASL recognition.</li>\n</ul>",
  "messages": [
    {
      "id": "2213677",
      "postDate": "04/07/2023 18:56:15",
      "content": "<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F5746197%2Fe48a040258628838c1dfc8a896407446%2FScreen%20Shot%202023-04-06%20at%207.19.50%20PM.png?generation=1680893513417169&amp;alt=media\" alt=\"\"></p>\n<p><strong><a href=\"https://www.kaggle.com/code/josephzahar/real-time-asl-recognition-using-webcam-feed\" target=\"_blank\">In this notebook I present you:</a></strong></p>\n<ul>\n<li>The use of a pre-trained model allows for quick and accurate recognition of ASL signs, without the need for time-consuming training on large datasets.</li>\n<li><a href=\"https://www.kaggle.com/code/josephzahar/distance-angle-based-features-using-keras\" target=\"_blank\">The distance and angle-based features used in the model are effective in capturing the unique characteristics of each sign, making it robust to variations in lighting, hand placement, and background.</a></li>\n<li>The real-time nature of the script allows for immediate feedback to the user, making it useful for testing and refining algorithms for ASL recognition.</li>\n</ul>",
      "rawMarkdown": "![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F5746197%2Fe48a040258628838c1dfc8a896407446%2FScreen%20Shot%202023-04-06%20at%207.19.50%20PM.png?generation=1680893513417169&alt=media)\n\n**[In this notebook I present you:](https://www.kaggle.com/code/josephzahar/real-time-asl-recognition-using-webcam-feed)**\n\n- The use of a pre-trained model allows for quick and accurate recognition of ASL signs, without the need for time-consuming training on large datasets.\n- [The distance and angle-based features used in the model are effective in capturing the unique characteristics of each sign, making it robust to variations in lighting, hand placement, and background.](https://www.kaggle.com/code/josephzahar/distance-angle-based-features-using-keras)\n- The real-time nature of the script allows for immediate feedback to the user, making it useful for testing and refining algorithms for ASL recognition.",
      "votes": null
    },
    {
      "id": "2218258",
      "postDate": "04/11/2023 14:28:10",
      "content": "<p>WOW ! very interesting study <a href=\"https://www.kaggle.com/josephzahar\" target=\"_blank\">@josephzahar</a> </p>",
      "rawMarkdown": "WOW ! very interesting study @josephzahar",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2218258,
      "author_name": "ppb00x",
      "author_url": "",
      "post_date": "04/11/2023 14:28:10",
      "content": "<p>WOW ! very interesting study <a href=\"https://www.kaggle.com/josephzahar\" target=\"_blank\">@josephzahar</a> </p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2213677": "![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F5746197%2Fe48a040258628838c1dfc8a896407446%2FScreen%20Shot%202023-04-06%20at%207.19.50%20PM.png?generation=1680893513417169&alt=media)\n\n**[In this notebook I present you:](https://www.kaggle.com/code/josephzahar/real-time-asl-recognition-using-webcam-feed)**\n\n- The use of a pre-trained model allows for quick and accurate recognition of ASL signs, without the need for time-consuming training on large datasets.\n- [The distance and angle-based features used in the model are effective in capturing the unique characteristics of each sign, making it robust to variations in lighting, hand placement, and background.](https://www.kaggle.com/code/josephzahar/distance-angle-based-features-using-keras)\n- The real-time nature of the script allows for immediate feedback to the user, making it useful for testing and refining algorithms for ASL recognition.",
    "2218258": "WOW ! very interesting study @josephzahar"
  },
  "source": "meta"
}