config = dict()


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

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

config['latent_dim'] = 128

config['cond_ae'] = dict()
config['cond_ae']['is_label'] = True
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'] = 40
config['cond_ae']['encoder_depths'] = [3, 3, 9, 9, 3]
config['cond_ae']['encoder_dims'] = [16, 32, 64, 128, config['cond_ae']['bottleneck_size']]
config['cond_ae']['decoder_depths'] = config['cond_ae']['encoder_depths']
config['cond_ae']['decoder_dims'] = config['cond_ae']['encoder_dims']
config['cond_ae']['activation'] = 'tanh'


config['gpu'] = '3'
config['lr'] = 0.001
config['name'] = 'curv_r7_3'
config['notes'] = 'resnet18' 
config['tags'] = ['review_7']

config['cond_ae']['upscale_output'] = False
config['pretrained_model'] = ''


config['signature_dynamic'] = { 'id': (), 'frame_nr': (),
                          'uv_curvature': (512, 256, 7),
                          'mesh_curvature':  (config['smpl_res'])
                        }
config['signature_static'] = { 'mesh_mask': (config['smpl_res'],),
                         'uv_mask': (512, 256,),
                        }