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import numpy as np
from typing import Dict
class MoCapDataset:
def __init__(self, dataset_file: str):
"""
Dataset class used for loading a dataset of unpaired MANO parameter annotations
Args:
cfg (CfgNode): Model config file.
dataset_file (str): Path to npz file containing dataset info.
"""
data = np.load(dataset_file)
self.pose = data['hand_pose'].astype(np.float32)[:, 3:]
self.betas = data['betas'].astype(np.float32)
self.length = len(self.pose)
def __getitem__(self, idx: int) -> Dict:
pose = self.pose[idx].copy()
betas = self.betas[idx].copy()
item = {'hand_pose': pose, 'betas': betas}
return item
def __len__(self) -> int:
return self.length
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