train with fixed reg losses

configs/direct_7.py

@@ -2,9 +2,9 @@ from utils.convnext_utils import CNBlockConfig
 
 config = dict()
 
-config['gpu'] = '6'
-config['name'] = 'direct_7'
-config['notes'] = 'with normals input but only single garment sequence with msssim and l2 mesh loss only and without skinning' 
+config['gpu'] = '0'
+config['name'] = 'direct_9'
+config['notes'] = 'with normals input whole dataset with msssim and l2 mesh loss and reg losses and without skinning' 
 config['tags'] = ['torch', 'direct'] 
 config['script'] = 'scripts/direct_train.py'
 
@@ -20,12 +20,12 @@ config['batch_size'] = 4
 config['train_dir'] = '/data-local/127/train'
 config['valid_dir'] = '/data-local/127/train'
 config['test_dir'] = '/data-net/dataset/test_ready'
-config['train_frames'] = 'frames_00761.txt'
-config['valid_frames'] = 'frames_00761.txt'
+config['train_frames'] = None
+config['valid_frames'] = None
 
 config['resolution'] = 512
 config['is_skirt'] = False
-config['dataset_in_memory'] = True
+config['dataset_in_memory'] = False
 config['is_cape'] = False
 config['remove_global_orientation'] = True
 config['device'] = 'cuda'