HRNet config

[schlevik]

config = {'27': np.concatenate(([0, 5, 6, 7, 8, 9, 10], # Nose, Eyes, Shoulders, Elbows
                          [91, 95, 96, 99, 100, 103, 104, 107, 108, 111], # Wrist, Knuckles+Thumb, fingertips
                          [112, 116, 117, 120, 121, 124, 125, 128, 129, 132]), # Wrist, Knuckles+Thumb, fingertips other hand 
                         axis=0),
}

How to get the 27 nodes from the npys and what they mean.

The x, y and confidence channels are already in their own dimension.