config updates

This commit is contained in:
2023-07-07 09:44:12 +02:00
parent 2d50eb40da
commit e48ae5a3df
17 changed files with 2140 additions and 19 deletions
+7 -7
View File
@@ -2,14 +2,14 @@ from utils.convnext_utils import CNBlockConfig
config = dict()
config['gpu'] = '3'
config['name'] = 'pyr_iccvw_64_reg_skirt_2'
config['gpu'] = '4'
config['name'] = 'pyr_iccvw_64_reg_skirt_3'
config['notes'] = ''
config['tags'] = ['pyr', 'iccv', 'torch']
config['script'] = 'scripts/cvae_pyramid.py'
config['batch_size'] = 4
config['is_skirt'] = False
config['is_skirt'] = True
config['is_cape'] = False
config['device'] = 'cuda'
@@ -19,7 +19,7 @@ config['use_extra_losses'] = False # edge, collision, 3d mesh
config['use_norm_loss'] = True
config['use_normals'] = True
config['pretrained_model'] = 'checkpoints/iccvw/pyr_iccvw_64_reg_skirt'
config['pretrained_model'] = ''
config['pretrained_model_iteration'] = ''
config['pyramid'] = dict()
@@ -128,7 +128,7 @@ for res in config['pyramid']['resolutions']:
level = dict()
level['resolution'] = 256
level['kernel_size'] = 5
level['upscale_enhancer'] = 'checkpoints/iccvw/iccv_256'
level['upscale_enhancer'] = 'checkpoints/iccvw/iccv_256_skirt'
level['upscale_enhancer_freeze'] = True
level['bottleneck_size'] = 64 * config['bottleneck_scale']
level['input_features'] = 3+3+3+3 if config['use_normals'] else 3+3+3
@@ -154,7 +154,7 @@ for res in config['pyramid']['resolutions']:
level = dict()
level['resolution'] = 128
level['kernel_size'] = 5
level['upscale_enhancer'] = 'checkpoints/iccvw/iccv_128'
level['upscale_enhancer'] = 'checkpoints/iccvw/iccv_128_skirt'
level['upscale_enhancer_freeze'] = True
level['bottleneck_size'] = 64 * config['bottleneck_scale']
level['input_features'] = 3+3+3+3 if config['use_normals'] else 3+3+3
@@ -178,7 +178,7 @@ for res in config['pyramid']['resolutions']:
level = dict()
level['resolution'] = 64
level['kernel_size'] = 3
level['upscale_enhancer'] = 'checkpoints/iccvw/iccv_64'
level['upscale_enhancer'] = 'checkpoints/iccvw/iccv_64_skirt'
level['upscale_enhancer_freeze'] = True
level['bottleneck_size'] = 64 * config['bottleneck_scale']
level['input_features'] = 3+3+3+3 if config['use_normals'] else 3+3+3