Spaces:
Running
Running
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'] | |