update pyramid config

configs/config_pyramid.py

@@ -1,27 +1,25 @@
 from configs.config_base import config
 
-config['gpu'] = '3'
+config['gpu'] = '2'
-config['name'] = 'pyr_1_32_64_128'
+config['name'] = 'pyr_4_32_2_64_2'
 config['notes'] = '\
 offsets over average unposed garment. remove global orientation (in posed body input and in pose_shape parameters. | \
 retrained body encoder with deoriented bodies | \
 use mean l2 loss. small batch. l2 * 1000, balancing to 1 from 0.01 | \
 fixed gender issue and retrained body encoder, FINAL | \
 remove shape from unposed garment | \
-training on 100 garments with offsets over the average of these | \
-fixed autoencoders!!!!!!!!! | \
 common condition encoders for all levels, only run once | \
 full res loss on each level | \
 all higher levels are added to the output of first level | \
 using custom MLP upscale enhancement | \
-layers 32 | \
-testing plotting | \
 only train highest level, all other use from pretrained pyramids with one less level | \
 maybe upscale enhancer was not frozen? --> fixed pretrained approach | \
 upscale from level to level, not to final res, only at the end to final res  | \
 updated upscale enhancers | \
 try with  l2 loss | \
- \
+fixed low res body inputs | \
+with 3d loss | \
+continued from pyr_4_32_2, changed encoders, upscaler, added tanh to cond_encoder | \
 '
 
 # DON'T FORGET TO RESET SSIM LOSS USAGE
@@ -29,6 +27,10 @@ try with  l2 loss | \
 # DON'T FORGET TO CHECK IF STORE IN MEMORY
 # DON'T FORGET TO CHECK REG LOSS COEFF
 # DON'T FORGET TO LOAD FINAL UPSCALER UNLESS HAVE LEVEL 512
+# DON'T FORGET TO CHECK IF SKIRT
+# DON'T FORGET TO CHECK IF CAPE
+# DON'T FORGET TO CHECK IF USING DOWNSCALE NONE OR _2
+# DON'T FORGET TO CHECK UPSCALING and ENCODER CHECKPOINTS
 
 
 config['dataset_in_memory'] = False
@@ -36,29 +38,30 @@ config['resolution'] = None
 
 config['lr'] = 0.0001
 config['starting_balancing_coeff'] = 0.0001
-config['reg_loss_coeff'] = 0 # set to 0 if don't want to use edge+collision
+config['reg_loss_coeff'] = 0.1 # set to 0 if don't want to use edge+collision
 
 config['signature_dynamic'] = { 'id': (),
                           'pose_shape': (72 + 11,),
                           'uv_body_posed': (512, 256, 3),
-                          'mesh_body_posed': (14475, 3,),
+                          'mesh_body_posed': (config['smpl_res'], 3,),
-                          'mesh_posed': (14475, 3,),
+                          'mesh_posed': (config['smpl_res'], 3,),
-                          'mesh_unposed': (14475, 3,),
+                          'mesh_unposed': (config['smpl_res'], 3,),
                           'uv_unposed': (512, 256, 3),
                           'uv_curvature': (512, 256, 7),
                         }
 config['signature_static'] = { 'uv_static': (512, 256, 3),
-                              'mesh_mask': (14475,),
+                              'mesh_mask': (config['smpl_res'],),
                               'uv_mask': (512, 256,),
                               }
 
 config['pyramid'] = dict()
 config['pyramid']['is_label'] = False
 config['pyramid']['latent_dim'] = config['latent_dim']
+config['pyramid']['add_noise'] = True
 
-config['pyramid']['resolutions'] = [32, 64, 128]
+config['pyramid']['resolutions'] = [32]
 config['pyramid']['loss_weights'] = [1,1,1,1,1]
-config['pyramid']['pretrained_pyramid'] = 'checkpoints/pyr_1_32_64'
+config['pyramid']['pretrained_pyramid'] = 'checkpoints/pyr_4_32_2'
 
 for res in config['pyramid']['resolutions']:
   if res != 512:
@@ -70,19 +73,22 @@ for res in config['pyramid']['resolutions']:
       config['signature_static']['uv_mask' + res_modifier] = (res, res//2)
 
 
-# config['pyramid']['static_model'] = 'checkpoints/ae_static_7_2_x'
+# config['pyramid']['static_model'] = 'checkpoints/static_1_skirt'
-# config['pyramid']['body_model'] = 'checkpoints/ae_body_9_x'
+# config['pyramid']['body_model'] = 'checkpoints/body_1_skirt_2_2'
-# config['pyramid']['curvature_model'] = 'checkpoints/ae_curv_9_x'
+# config['pyramid']['curvature_model'] = 'checkpoints/curv_1_skirt'
-# config['pyramid']['static_model'] = 'checkpoints/static_1'
+config['pyramid']['static_model'] = 'checkpoints/static_1'
-# config['pyramid']['body_model'] = 'checkpoints/body_1'
+config['pyramid']['body_model'] = 'checkpoints/body_1'
-# config['pyramid']['curvature_model'] = 'checkpoints/curv_1'
+config['pyramid']['curvature_model'] = 'checkpoints/curv_1'
-config['pyramid']['static_model'] = ''
+# config['pyramid']['static_model'] = 'checkpoints/static_1_cape_f'
-config['pyramid']['body_model'] = ''
+# config['pyramid']['body_model'] = 'checkpoints/body_1_cape_f'
-config['pyramid']['curvature_model'] = ''
+# config['pyramid']['curvature_model'] = 'checkpoints/curv_1_cape_f'
+# config['pyramid']['static_model'] = ''
+# config['pyramid']['body_model'] = ''
+# config['pyramid']['curvature_model'] = ''
 config['pyramid']['freeze_encoders'] = True
 
 config['avg_garment_path'] = ''
-config['pyramid']['final_upscale_enhancer'] = 'checkpoints/128_512_3'
+config['pyramid']['final_upscale_enhancer'] = 'checkpoints/32_512_4'
 
 
 config['pyramid']['levels'] = []
@@ -119,13 +125,13 @@ for res in config['pyramid']['resolutions']:
     level['resolution'] = 128
     level['latent_dim'] = config['latent_dim']
     level['kernel_size'] = 5
-    level['encoder_depths'] = [16, 16, 9, 9]
+    level['encoder_depths'] = [16, 9, 9, 9]
-    level['encoder_dims'] = [64, 128, 256, 256]
+    level['encoder_dims'] = [64, 128, 128, 256]
     level['decoder_input'] = (4, 2, 128)
-    level['decoder_depths'] = [16, 16, 9, 9]
+    level['decoder_depths'] = [16, 9, 9, 9]
-    level['decoder_dims'] = [256, 256, 128, 64]
+    level['decoder_dims'] = [256, 128, 128, 64]
     level['avg_garment_path'] = ''
-    level['upscale_enhancer'] = ''#'checkpoints/up_3_d128_256_2'
+    level['upscale_enhancer'] = 'checkpoints/128_512_cape_f'#'checkpoints/up_3_d128_256_2'
     level['upscale_enhancer_freeze'] = True
     config['pyramid']['levels'].append(level)
   elif res == 64:
@@ -133,13 +139,13 @@ for res in config['pyramid']['resolutions']:
     level['resolution'] = 64
     level['latent_dim'] = config['latent_dim']
     level['kernel_size'] = 5
-    level['encoder_depths'] = [27, 27, 16]
+    level['encoder_depths'] = [9, 9, 9]
-    level['encoder_dims'] = [256, 256, 256]
+    level['encoder_dims'] = [64, 128, 256]
     level['decoder_input'] = (4, 2, 256)
-    level['decoder_depths'] = [27, 27, 16]
+    level['decoder_depths'] = [9, 9, 9]
-    level['decoder_dims'] = [256, 256, 256]
+    level['decoder_dims'] = [256, 128, 64]
     level['avg_garment_path'] = ''
-    level['upscale_enhancer'] = 'checkpoints/64_512_2'#checkpoints/up_3_d64_128_2'
+    level['upscale_enhancer'] = ''#checkpoints/up_3_d64_128_2'
     level['upscale_enhancer_freeze'] = False
     config['pyramid']['levels'].append(level)
   elif res == 32:
@@ -147,16 +153,14 @@ for res in config['pyramid']['resolutions']:
     level['resolution'] = 32
     level['latent_dim'] = config['latent_dim']
     level['kernel_size'] = 3
-    level['encoder_depths'] = [27, 27]
+    level['encoder_depths'] = [9, 9]
     level['encoder_dims'] = [256, 256]
     level['decoder_input'] = (4, 2, 256)
-    level['decoder_depths'] = [27, 27]
+    level['decoder_depths'] = [9, 9]
     level['decoder_dims'] = [256, 256]
     level['avg_garment_path'] = ''
-    level['upscale_enhancer'] = 'checkpoints/32_512_4'#'checkpoints/up_3_d32_64_2'
+    level['upscale_enhancer'] = ''#'checkpoints/up_3_d32_64_2'
     level['upscale_enhancer_freeze'] = True
     config['pyramid']['levels'].append(level)
   else:
-    raise NotImplementedError
+    raise NotImplementedError
-  
-