人体骨骼关键点检测

本文介绍了如何使用COCO数据集进行人体骨骼关键点检测,包括数据集的获取、JSON文件结构解析以及COCO Python API的使用。尽管标注数据存在不足,但为后续的网络训练和标注映射文件生成奠定了基础。

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人体骨骼关键点检测

  1. coco数据集获取
    从官网上下载coco数据集:会有一个这个的文件:person_keypoints_val2017.json,coco数据集提供了python的API .
    由于coco数据集可以用于需要的任务,如:语义分割、人体分割、物体分类等,应用时需要选择正确的josn文件。

    1.1 josn 文件示例(删减版)
    josn文件分为:几个节点 “info”: 、“licenses”: 、“images”:、“annotations”: 、 “categories”: ;
    每个节点中包含了许多的子节点,子节点中友有许多的属性;

{
   
   
    "info": 
    {
   
   
        "description": "COCO 2017 Dataset",
        "url": "http://cocodataset.org",
        "version": "1.0","year": 2017,
        "contributor": "COCO Consortium",
        "date_created": "2017/09/01"},
    "licenses": 
    [
        {
   
   "url": "http://creativecommons.org/licenses/by-sa/2.0/","id": 5,"name": "Attribution-ShareAlike License"},
        {
   
   "url": "http://creativecommons.org/licenses/by-nd/2.0/","id": 6,"name": "Attribution-NoDerivs License"},
        {
   
   "url": "http://flickr.com/commons/usage/","id": 7,"name": "No known copyright restrictions"},
        {
   
   "url": "http://www.usa.gov/copyright.shtml","id": 8,"name": "United States Government Work"}
        


    ],

    "images": ###注意这里!!!  (节点)
    [
        {
   
      "license": 4, #属性
            "file_name": "000000425226.jpg", ###注意这里!!!
            "coco_url": "http://images.cocodataset.org/val2017/000000397133.jpg",
            "height": 427,
            "width": 640,
            "date_captured": "2013-11-14 17:02:52",
            "flickr_url": "http://farm7.staticflickr.com/6116/6255196340_da26cf2c9e_z.jpg",
            "id": 397133  ###注意这里!!!
        }, #子节点
        {
   
      "license": 1,
            "file_name": "000000440475.jpg", ###注意这里!!!
            "coco_url": "http://images.cocodataset.org/val2017/000000037777.jpg",
            "height": 230,
            "width": 352,
            "date_captured": "2013-11-14 20:55:31",
            "flickr_url": "http://farm9.staticflickr.com/8429/7839199426_f6d48aa585_z.jpg",
            "id": 37777 ###注意这里!!!
        }
    ],
    "annotations": 
    [
        {
   
   
            "segmentation": 
                [[125.12,539.69,140.94,522.43,100.67,496.54,84.85,469.21,73.35,450.52,104.99,342.65,168.27,290.88,179.78,288,189.84,286.56,191.28,260.67,202.79,240.54,221.48,237.66,248.81,243.42,257.44,256.36,253.12,262.11,253.12,275.06,299.15,233.35,329.35,207.46,355.24,206.02,363.87,206.02,365.3,210.34,373.93,221.84,363.87,226.16,363.87,237.66,350.92,237.66,332.22,234.79,314.97,249.17,271.82,313.89,253.1
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