DATASET.md

August 13, 2020 · View on GitHub

Download

You can access the dataset here.

Folder Structure

  • imgs - Contains the collected images

  • annotation.npy - Contains the pose annotation

    ${U3DPW}
    ├── imgs
    ├── annotation.npy
    

Annotation

The annotation file is a Python dictionary that has the following format: p2d is a numpy array of shape (num_keypoints, 2) that stores the image coordinates of the 2D key-points. Each row in the array stores (x, y) coordinate of the corresponding key-point. These key-points are re-annotated with a style similar to that of Human 3.6M, and can be accessed through key 'h36m'. lsp is a boolean flag that indicates whether the image is collected from Leeds Sport Pose dataset or not.

{
'image_name1':{'p2d':array1, 'lsp':True/False, 'h36m':array2},
'image_name2':{'p2d':array3, 'lsp':True/False, 'h36m':array4},
...
}

Key-point Semantics

The name of the Human 3.6M style key-points are:

IndexKeypoint
0Hip Center
1Right Hip
2Right Knee
3Right Ankle
4Left Hip
5Left Knee
6Left Ankle
7Spine
8Thorax
9Neck
10Head Top
11Left SHoulder
12Left Elbow
13Left Wrist
14Right Shoulder
15Right Elbow
16Right Wrist