Added skeleton keypoints detector COCO Whole Body

[bsekachev]

Motivation and context

Resolved #3756
Resolved #5324

Used model is UBody via mmpose https://mmpose.readthedocs.io/en/latest/model_zoo/wholebody_2d_keypoint.html#topdown-heatmap-hrnet-ubody-coco-wholebody-on-ubody2d

Optional:

• Try different detectors from mmdetect
• GPU support (it very quick on CPU as well)

Deploy with: ./deploy_cpu.sh pytorch/mmpose/ubody2d/nuclio/

Recommendations: redeploy this list of functions if you use any of them after using this code

• tensorflow/faster_rcnn_inception_v2_coco/nuclio/
• tensorflow/matterport/mask_rcnn/nuclio/
• pytorch/facebookresearch/detectron2/retinanet_r101/nuclio/
• openvino/omz/public/yolo-v3-tf/nuclio/
• onnx/WongKinYiu/yolov7/nuclio/
• openvino/omz/public/mask_rcnn_inception_resnet_v2_atrous_coco/nuclio/
• openvino/omz/public/faster_rcnn_inception_resnet_v2_atrous_coco/nuclio/
• openvino/omz/intel/text-detection-0004/nuclio/
• openvino/omz/intel/semantic-segmentation-adas-0001/nuclio/
• openvino/omz/intel/face-detection-0205/nuclio/

Labels configuration to test (insert to raw editor)

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      "attributes":[
         
      ]
   }
]

How has this been tested?

Checklist

• I submit my changes into the develop branch
• I have created a changelog fragment
• I have updated the documentation accordingly
• I have added tests to cover my changes
• I have linked related issues (see GitHub docs)
• I have increased versions of npm packages if it is necessary
  (cvat-canvas,
  cvat-core,
  cvat-data and
  cvat-ui)

License

• I submit my code changes under the same MIT License that covers the project.
  Feel free to contact the maintainers if that's a concern.