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from .ViTPose_common import *
# Channel configuration
channel_cfg = dict(
num_output_channels=25,
dataset_joints=25,
dataset_channel=[[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15,
16, 17, 18, 19, 20, 21, 22, 23, 24], ],
inference_channel=[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15,
16, 17, 18, 19, 20, 21, 22, 23, 24])
# Set models channels
data_cfg['num_output_channels'] = channel_cfg['num_output_channels']
data_cfg['num_joints']= channel_cfg['dataset_joints']
data_cfg['dataset_channel']= channel_cfg['dataset_channel']
data_cfg['inference_channel']= channel_cfg['inference_channel']
names = ['small', 'base', 'large', 'huge']
for name in names:
globals()[f'model_{name}']['keypoint_head']['out_channels'] = channel_cfg['num_output_channels']
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