67 lines
2.6 KiB
Python
67 lines
2.6 KiB
Python
from configs.config_base import config
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config['gpu'] = '3'
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config['name'] = 'cvae_19'
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config['notes'] = '\
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offsets over average unposed garment. remove global orientation (in posed body input and in pose_shape parameters. \
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retrained body encoder with deoriented bodies \
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use mean l2 loss. small batch. l2 * 1000, balancing to 1 from 0.01\
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fixed gender issue and retrained body encoder, FINAL\
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remove shape from unposed garment\
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training on 100 garments with offsets over the average of these\
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fixed autoencoders!!!!!!!!!\
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cvae only loads encoders instead AEs\
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'
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config['lr'] = 0.0001
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config['starting_balancing_coeff'] = 0.0001
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config['signature_dynamic'] = { 'id': (),
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'pose_shape': (72 + 11,),
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'uv_body_posed': (512, 256, 3),
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'mesh_body_posed': (14475, 3,),
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'mesh_posed': (14475, 3,),
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'mesh_unposed': (14475, 3,),
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'uv_unposed': (512, 256, 3),
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'uv_curvature': (512, 256),
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}
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config['signature_static'] = { 'uv_static': (512, 256, 3),
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'mesh_mask': (14475,),
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'uv_mask': (512, 256,),
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}
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config['avg_garment_path'] = 'custom_data/train_100_no_shape_avg_uv.npy'
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config['static_model'] = 'checkpoints/ae_static_7_2_x'
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config['body_model'] = 'checkpoints/ae_body_9_x'
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config['curvature_model'] = 'checkpoints/ae_curv_9_x'
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config['freeze_encoders'] = True
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config['cvae'] = dict()
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config['cvae']['is_label'] = False
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config['cvae']['latent_dim'] = config['latent_dim']
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if config['resolution'] == 512:
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config['cvae']['kernel_size'] = 7
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config['cvae']['encoder_depths'] = [3, 3, 9, 3]
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config['cvae']['encoder_dims'] = [32, 64, 128, 256]
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config['cvae']['decoder_input'] = (16, 8, 80)
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config['cvae']['decoder_depths'] = [3, 3, 9, 3]
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config['cvae']['decoder_dims'] = [256, 128, 64, 16]
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elif config['resolution'] == 128:
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config['cvae']['kernel_size'] = 5
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config['cvae']['encoder_depths'] = [16, 16, 9, 9]
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config['cvae']['encoder_dims'] = [64, 128, 256, 256]
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config['cvae']['decoder_input'] = (4, 2, 128)
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config['cvae']['decoder_depths'] = [16, 16, 9, 9]
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config['cvae']['decoder_dims'] = [256, 256, 128, 64]
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elif config['resolution'] == 32:
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config['cvae']['kernel_size'] = 3
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config['cvae']['encoder_depths'] = [27, 27]
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config['cvae']['encoder_dims'] = [256, 256]
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config['cvae']['decoder_input'] = (4, 2, 256)
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config['cvae']['decoder_depths'] = [27, 27]
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config['cvae']['decoder_dims'] = [256, 256]
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else:
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raise NotImplementedError
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