from configs.config_base import config config['lr'] = 0.0001 config['name'] = 'cvae_19' config['starting_balancing_coeff'] = 0.0001 config['signature_dynamic'] = { 'id': (), 'pose_shape': (72 + 11,), 'uv_body_posed': (512, 256, 3), 'mesh_body_posed': (14475, 3,), 'mesh_posed': (14475, 3,), 'mesh_unposed': (14475, 3,), 'uv_unposed': (512, 256, 3), 'uv_curvature': (512, 256), } config['signature_static'] = { 'uv_static': (512, 256, 3), 'mesh_mask': (14475,), 'uv_mask': (512, 256,), } config['avg_garment_path'] = 'custom_data/train_100_no_shape_avg_uv.npy' config['static_model'] = 'checkpoints/ae_static_6_copy' config['body_model'] = 'checkpoints/ae_body_8_copy' config['curvature_model'] = 'checkpoints/ae_curvature_7_copy' config['freeze_encoders'] = True config['cvae'] = dict() config['cvae']['is_label'] = False config['cvae']['latent_dim'] = config['latent_dim'] if config['resolution'] == 512: config['cvae']['kernel_size'] = 7 config['cvae']['encoder_depths'] = [3, 3, 9, 3] config['cvae']['encoder_dims'] = [32, 64, 128, 256] config['cvae']['decoder_input'] = (16, 8, 80) config['cvae']['decoder_depths'] = [3, 3, 9, 3] config['cvae']['decoder_dims'] = [256, 128, 64, 16] elif config['resolution'] == 128: config['cvae']['kernel_size'] = 5 config['cvae']['encoder_depths'] = [16, 16, 9, 9] config['cvae']['encoder_dims'] = [64, 128, 256, 256] config['cvae']['decoder_input'] = (4, 2, 128) config['cvae']['decoder_depths'] = [16, 16, 9, 9] config['cvae']['decoder_dims'] = [256, 256, 128, 64] elif config['resolution'] == 32: config['cvae']['kernel_size'] = 3 config['cvae']['encoder_depths'] = [27, 27] config['cvae']['encoder_dims'] = [256, 256] config['cvae']['decoder_input'] = (4, 2, 256) config['cvae']['decoder_depths'] = [27, 27] config['cvae']['decoder_dims'] = [256, 256] else: raise NotImplementedError