update

README.md

@@ -117,11 +117,12 @@ Each data instance (male/train/001.gz for example) contains the following:
 {
   'gender': str ['male', 'female'],
   'subject_ID': str
-  'mri_seg': numpy.ndarray (192, 256, 110),
+  'mri_seg': numpy.ndarray (None, 192, 256),
   'mri_labels': dict {'NO': 0, 'LT': 1, 'AT': 2, 'VAT': 3, 'BONE': 4},
-  'mri_seg_dict': dict dict_keys(['LT', 'AT', 'VAT', 'BODY', 'BONE', 'NO']),
-  'resolution': numpy.ndarray (110, 3),
-  'center': numpy.ndarray (110, 3),
+  'body_mask': numpy.ndarray (None, 192, 256),
+  'bondy_cont_pc': numpy.ndarray (None, 3),
+  'resolution': numpy.ndarray (N, 3),
+  'center': numpy.ndarray (N, 3),
   'smpl_dict': dict dict_keys(['gender', 'verts_free', 'verts', 'faces', 'pose', 'betas', 'trans'])
 }
 ```
@@ -132,7 +133,8 @@ Each data instance (male/train/001.gz for example) contains the following fields
 - 'subject_ID': "anonymized name of the subject which is also the filename"
 - 'mri_seg': "annotated array with the labels 0,1,2,3",
 - 'mri_labels': "dictionary of mapping between label integer and name",
-- 'mri_seg_dict': "a dictionary of individual masks of the different tissues (LT, AT, BT, ...)",
+- 'body_mask': "binary array for body mask",
+- 'body_cont_pc' "extracted point cloud from mri contours"
 - 'resolution': "per slice resolution in meters",
 - 'center': "per slice center, in pixels",
 - 'smpl_dict': dictionary containing all the relevant SMPL parameters of the subject alongwith mesh faces and vertices ('verts': original fit, 'verts_free': compressed fit