60 lines
2.8 KiB
Python
60 lines
2.8 KiB
Python
config = dict()
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config['batch_size'] = 4
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# config['train_dir'] = '/home/workspace/local-data/cape_processed/train/female'
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# config['valid_dir'] = '/home/workspace/local-data/cape_processed/test/female'
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# config['test_dir'] = '/home/workspace/local-data/cape_processed/test/female'
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config['train_dir'] = '/home/workspace/local-data/train'
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config['valid_dir'] = '/home/workspace/local-data/valid'
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config['test_dir'] = '/home/workspace/data/dataset/test_ready'
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# config['train_dir'] = '/home/workspace/local-data/train_skirt'
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# config['valid_dir'] = '/home/workspace/local-data/valid_skirt'
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# config['test_dir'] = '/home/workspace/local-data/test_skirt_ready'
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config['use_filled'] = False
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config['resolution'] = 512
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config['is_skirt'] = False
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config['dataset_in_memory'] = False
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config['is_cape'] = False
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config['smpl_res'] = 14475
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if config['is_cape']:
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config['smpl_res'] = 3638
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config['latent_dim'] = 128
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config['cond_ae'] = dict()
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config['cond_ae']['is_label'] = False
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config['cond_ae']['upscale_output'] = False
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config['cond_ae']['latent_dim'] = config['latent_dim']
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config['cond_ae']['kernel_size'] = 7
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config['cond_ae']['bottleneck_size'] = 64
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config['cond_ae']['encoder_depths'] = [3, 3, 9, 9, 3]
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config['cond_ae']['encoder_dims'] = [32, 64, 128, 256, config['cond_ae']['bottleneck_size']]
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config['cond_ae']['decoder_input'] = (8, 4, config['cond_ae']['bottleneck_size'])
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config['cond_ae']['decoder_depths'] = [3, 3, 9, 9, 3]
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config['cond_ae']['decoder_dims'] = [config['cond_ae']['bottleneck_size'], 256, 128, 64, 16]
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# config['cond_ae'] = dict()
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# config['cond_ae']['is_label'] = False
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# config['cond_ae']['upscale_output'] = False
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# config['cond_ae']['latent_dim'] = config['latent_dim']
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# config['cond_ae']['kernel_size'] = 7
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# config['cond_ae']['bottleneck_size'] = 64
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# config['cond_ae']['encoder_depths'] = [3, 3, 3, 3, 3]
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# config['cond_ae']['encoder_dims'] = [16, 32, 128, 128, config['cond_ae']['bottleneck_size']]
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# config['cond_ae']['decoder_input'] = (8, 4, config['cond_ae']['bottleneck_size'])
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# config['cond_ae']['decoder_depths'] = [3, 3, 3, 3, 3]
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# config['cond_ae']['decoder_dims'] = [config['cond_ae']['bottleneck_size'], 128, 128, 32, 8]
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# config['cond_ae_body'] = config['cond_ae']
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config['cond_ae_body'] = dict()
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config['cond_ae_body']['latent_dim'] = config['latent_dim']
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config['cond_ae_body']['kernel_size'] = 7
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config['cond_ae_body']['upscale_output'] = True
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config['cond_ae_body']['bottleneck_size'] = 512
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config['cond_ae_body']['encoder_depths'] = [3, 3, 9, 9, 3, 3]
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config['cond_ae_body']['encoder_dims'] = [32, 64, 128, 256, 256, config['cond_ae_body']['bottleneck_size']]
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config['cond_ae_body']['decoder_input'] = (4, 2, config['cond_ae_body']['bottleneck_size'])
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config['cond_ae_body']['decoder_depths'] = [3, 3, 9, 3]
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config['cond_ae_body']['decoder_dims'] = [config['cond_ae_body']['bottleneck_size'], 128, 64, 16] |