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ntu_read_skeleton.py
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ntu_read_skeleton.py
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import numpy as np
import os
def read_skeleton(file):
with open(file, 'r') as f:
skeleton_sequence = {}
skeleton_sequence['numFrame'] = int(f.readline())
skeleton_sequence['frameInfo'] = []
for t in range(skeleton_sequence['numFrame']):
frame_info = {}
frame_info['numBody'] = int(f.readline())
frame_info['bodyInfo'] = []
for m in range(frame_info['numBody']):
body_info = {}
body_info_key = [
'bodyID', 'clipedEdges', 'handLeftConfidence',
'handLeftState', 'handRightConfidence', 'handRightState',
'isResticted', 'leanX', 'leanY', 'trackingState'
]
body_info = {
k: float(v)
for k, v in zip(body_info_key, f.readline().split())
}
body_info['numJoint'] = int(f.readline())
body_info['jointInfo'] = []
for v in range(body_info['numJoint']):
joint_info_key = [
'x', 'y', 'z', 'depthX', 'depthY', 'colorX', 'colorY',
'orientationW', 'orientationX', 'orientationY',
'orientationZ', 'trackingState'
]
joint_info = {
k: float(v)
for k, v in zip(joint_info_key, f.readline().split())
}
body_info['jointInfo'].append(joint_info)
frame_info['bodyInfo'].append(body_info)
skeleton_sequence['frameInfo'].append(frame_info)
return skeleton_sequence
def read_xyz(file, max_body=2, num_joint=25):
seq_info = read_skeleton(file)
data = np.zeros((3, seq_info['numFrame'], num_joint, max_body))
for n, f in enumerate(seq_info['frameInfo']):
for m, b in enumerate(f['bodyInfo']):
for j, v in enumerate(b['jointInfo']):
if m < max_body and j < num_joint:
data[:, n, j, m] = [v['x'], v['y'], v['z']]
else:
pass
return data