config = dict()

config['gpu'] = '2'
config['name'] = 'cvae_curv_8'
config['notes'] = 'no activation for decoder, softmax at the very end, lower balancing, output only 6 values, concatenate background | \
  same as 3 but use ce loss | \
  add ce mesh loss | \
  higher balancing coeff | \
  start from curv_5, but higher balancing  '

config['reg_loss_coeff'] = 0.1 # set to 0 if don't want to use edge+collision

config['batch_size'] = 4
config['resolution'] = 512
config['is_skirt'] = False
config['dataset_in_memory'] = False
config['is_cape'] = False

config['train_dir'] = '/home/workspace/local-data/train'
config['valid_dir'] = '/home/workspace/local-data/valid'
config['test_dir'] = '/home/workspace/data/dataset/test_ready'

config['static_model'] = 'checkpoints/static_1'
config['body_model'] = 'checkpoints/body_1'
config['curvature_model'] = 'checkpoints/curv_1'


config['smpl_res'] = 14475
if config['is_cape']:
  config['smpl_res'] = 3638

config['latent_dim'] = 128

config['pretrained_model'] = 'checkpoints/cvae_curv_5'
config['pretrained_model_iteration'] = '100000'

###############    
config['lr'] = 0.0001#                 0.0001
###############
config['starting_balancing_coeff'] = 0.25

config['signature_dynamic'] = { 'id': (), 'frame_nr': (),
                          'pose_shape': (72 + 11,),
                          'uv_body_posed': (512, 256, 3),
                          'mesh_body_posed': (14475, 3,),
                          'mesh_posed': (14475, 3,),
                          'uv_curvature': (512, 256, 7),
                          # 'mesh_curvature':  (14475)
                        }
config['signature_static'] = { 'uv_static': (512, 256, 3),
                              'mesh_mask': (14475,),
                              'uv_mask': (512, 256,),
                              }


config['upscale_enhancer'] = ''
config['freeze_encoders'] = True
config['use_one_hot'] = False

config['cvae'] = dict()
config['cvae']['is_label'] = True
config['cvae']['latent_dim'] = config['latent_dim']
config['cvae']['add_noise'] = True
config['cvae']['noise_amount'] = 0.001

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]


config['cond_ae'] = dict()
config['cond_ae']['is_label'] = False
config['cond_ae']['upscale_output'] = False
config['cond_ae']['latent_dim'] = config['latent_dim']
config['cond_ae']['kernel_size'] = 7
config['cond_ae']['bottleneck_size'] = 64
config['cond_ae']['encoder_depths'] = [3, 3, 9, 9, 3]
config['cond_ae']['encoder_dims'] = [32, 64, 128, 256, config['cond_ae']['bottleneck_size']]
config['cond_ae']['decoder_input'] = (8, 4, config['cond_ae']['bottleneck_size'])
config['cond_ae']['decoder_depths'] = [3, 3, 9, 3, 3]
config['cond_ae']['decoder_dims'] = [config['cond_ae']['bottleneck_size'], 256, 128, 64, 16]

config['cond_ae_body'] = dict()
config['cond_ae_body']['latent_dim'] = config['latent_dim']
config['cond_ae_body']['kernel_size'] = 7
config['cond_ae_body']['upscale_output'] = True
config['cond_ae_body']['bottleneck_size'] = 512
config['cond_ae_body']['encoder_depths'] = [3, 3, 9, 9, 3, 3]
config['cond_ae_body']['encoder_dims'] = [32, 64, 128, 256, 256, config['cond_ae_body']['bottleneck_size']]
config['cond_ae_body']['decoder_input'] = (4, 2, config['cond_ae_body']['bottleneck_size'])
config['cond_ae_body']['decoder_depths'] = [3, 3, 9, 3]
config['cond_ae_body']['decoder_dims'] = [config['cond_ae_body']['bottleneck_size'], 128, 64, 16]