96 lines
3.6 KiB
Python
96 lines
3.6 KiB
Python
config = dict()
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config['gpu'] = '2'
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config['name'] = 'cvae_curv_8'
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config['notes'] = 'no activation for decoder, softmax at the very end, lower balancing, output only 6 values, concatenate background | \
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same as 3 but use ce loss | \
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add ce mesh loss | \
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higher balancing coeff | \
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start from curv_5, but higher balancing '
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config['reg_loss_coeff'] = 0.1 # set to 0 if don't want to use edge+collision
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config['batch_size'] = 4
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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['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['static_model'] = 'checkpoints/static_1'
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config['body_model'] = 'checkpoints/body_1'
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config['curvature_model'] = 'checkpoints/curv_1'
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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['pretrained_model'] = 'checkpoints/cvae_curv_5'
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config['pretrained_model_iteration'] = '100000'
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###############
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config['lr'] = 0.0001# 0.0001
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###############
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config['starting_balancing_coeff'] = 0.25
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config['signature_dynamic'] = { 'id': (), 'frame_nr': (),
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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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'uv_curvature': (512, 256, 7),
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# 'mesh_curvature': (14475)
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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['upscale_enhancer'] = ''
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config['freeze_encoders'] = True
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config['use_one_hot'] = False
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config['cvae'] = dict()
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config['cvae']['is_label'] = True
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config['cvae']['latent_dim'] = config['latent_dim']
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config['cvae']['add_noise'] = True
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config['cvae']['noise_amount'] = 0.001
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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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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, 3, 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_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]
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