large refactor

configs/config_ae_body.py

@@ -0,0 +1,14 @@
+from configs.config_base import config
+
+config['gpu'] = '1'
+config['lr'] = 0.0001
+config['name'] = 'ae_body_9'
+
+config['signature_dynamic'] = { 'id': (),
+                          'pose_shape': (72 + 11,),
+                          'uv_body_posed': (3, 512, 256,),
+                          'mesh_body_posed': (14475, 3,),
+                        }
+config['signature_static'] = { 
+                         'mesh_mask': (14475,),
+                        }

configs/config_ae_curv.py

@@ -0,0 +1,15 @@
+from configs.config_base import config
+
+config['lr'] = 0.001
+config['name'] = 'ae_body_9'
+
+config['cond_ae']['is_label'] = True
+
+config['signature_dynamic'] = { 'id': (),
+                          'uv_curvature': (512, 256),
+                          'mesh_curvature':  (14475)
+                        }
+config['signature_static'] = { 'mesh_mask': (14475,),
+                         'uv_mask': (512, 256,),
+                        }
+

configs/config_ae_static.py

@@ -0,0 +1,12 @@
+from configs.config_base import config
+
+config['gpu'] = '0'
+config['lr'] = 0.0005
+config['name'] = 'ae_static_7'
+
+config['signature_dynamic'] = { 'id': (), }
+config['signature_static'] = { 'uv_static': (512, 256, 3),
+                         'mesh_static': (14475, 3,),
+                         'mesh_mask': (14475,),
+                         'uv_mask': (512, 256,),
+                        }

configs/config_base.py

@@ -0,0 +1,21 @@
+config = dict()
+
+
+config['batch_size'] = 4
+config['train_dir'] = '/home/workspace/local-data/train_100'
+config['valid_dir'] = '/home/workspace/local-data/train_100'
+config['use_filled'] = False
+config['resolution'] = 512
+
+config['latent_dim'] = 128
+
+config['cond_ae'] = dict()
+config['cond_ae']['is_label'] = 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]

configs/config_cvae.py

@@ -0,0 +1,53 @@
+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