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cvpr_2023/configs/ae_body_cape_m.py
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2023-05-21 19:45:24 +02:00

73 lines
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Python

from utils.convnext_utils import CNBlockConfig
config = dict()
config['gpu'] = '4'
config['name'] = 'body_torch_cape_m'
config['notes'] = ' '
config['tags'] = ['torch', 'body']
config['script'] = 'scripts/ae_body_train.py'
config['pretrained_model'] = ''
config['batch_size'] = 4
config['train_dir'] = '/data-local/127/cape_processed/train/male'
config['valid_dir'] = '/data-local/127/cape_processed/test/male'
config['test_dir'] = '/data-local/127/cape_processed/test/male'
config['train_frames'] = None
config['valid_frames'] = None
config['resolution'] = 512
config['is_skirt'] = False
config['dataset_in_memory'] = False
config['is_cape'] = True
config['remove_global_orientation'] = True
config['device'] = 'cuda'
config['smpl_res'] = 14475
if config['is_cape']:
config['smpl_res'] = 3638
config['latent_dim'] = 128
config['bottleneck_scale'] = 2
config['cond_ae'] = dict()
config['cond_ae']['device'] = config['device']
config['cond_ae']['is_label'] = False
config['cond_ae']['latent_dim'] = config['latent_dim']
config['cond_ae']['kernel_size'] = 7
config['cond_ae']['bottleneck_size'] = 16 * config['bottleneck_scale']
block_setting = [
CNBlockConfig(16, 32, 3),
CNBlockConfig(32, 64, 3),
CNBlockConfig(64, 128, 9),
CNBlockConfig(128, config['cond_ae']['bottleneck_size'], 9),
CNBlockConfig(config['cond_ae']['bottleneck_size'], None, 3),
]
block_setting_reverse = [
CNBlockConfig(config['cond_ae']['bottleneck_size'], 128, 3),
CNBlockConfig(128, 64, 9),
CNBlockConfig(64, 32, 9),
CNBlockConfig(32, 16, 3),
CNBlockConfig(16, 3, 3),
# CNBlockConfig(3, 3, 3),
]
config['cond_ae']['encoder_block_settings'] = block_setting
config['cond_ae']['decoder_block_settings'] = block_setting_reverse
config['cond_ae']['activation'] = 'tanh'
config['lr'] = 0.0001
config['cond_ae']['upscale_output'] = False
config['signature'] = { 'id',
'frame_nr',
'pose_shape',
'uv_body_posed',
'mesh_mask',
'mesh_body_posed',
}