changes to hit.py

hit.py

@@ -81,12 +81,27 @@ class NewDataset(datasets.GeneratorBasedBuilder):
         features = datasets.Features(
             {
                 "gender": datasets.Value("string"),
-                #"mri_seg": datasets.Array3D(dtype="int64", shape=(None, 192, 256)),
-                "mri_labels":  {"NO":  datasets.Value("int32"), "LT":  datasets.Value("int32"), "AT":  datasets.Value("int32"), "VAT":  datasets.Value("int32"), "BONE":  datasets.Value("int32")},#datasets.features.Sequence(datasets.features.ClassLabel(names=["NO", "LT", "AT", "VAT", "BONE"])),
-                #"mri_seg_dict": datasets.Sequence(datasets.Sequence(datasets.Value("float"))),
+                "mri_seg": datasets.Array3D(dtype="int64", shape=(None, 192, 256)),
+                "mri_labels":  {
+                    "NO":  datasets.Value("int32"),
+                    "LT":  datasets.Value("int32"),
+                    "AT":  datasets.Value("int32"),
+                    "VAT":  datasets.Value("int32"),
+                    "BONE":  datasets.Value("int32")
+                },
+                "body_mask": datasets.Array3D(dtype="int64", shape=(None, 192, 256)),
                 "resolution": datasets.Array2D(dtype="float32", shape=(None, 3)),
                 "center": datasets.Array2D(dtype="float32", shape=(None, 3)),
-                #"smpl_dict": datasets.features.Mapping(datasets.Value("float32")),#datasets.Sequence(datasets.Sequence(datasets.Value("double"))),
+                "smpl_dict": {
+                    'gender': datasets.Value("string"),
+                    'verts_free': datasets.Array2D(dtype="float32", shape=(6890, 3)),
+                    'verts': datasets.Array2D(dtype="float32", shape=(6890, 3)),
+                    'faces': datasets.Array2D(dtype="uint32", shape=(None, 3)),
+                    'pose': datasets.Sequence(datasets.Value("float32")),
+                    'betas': datasets.Sequence(datasets.Value("float32")),
+                    'trans': datasets.Sequence(datasets.Value("float32"))
+                },
+                'body_cont_pc': datasets.Array2D(dtype="float32", shape=(None, 3)),
                 "dataset_name": datasets.Value("string"),
                 "subject_ID": datasets.Value("string")
                 # These are the features of your dataset like images, labels ...
@@ -167,9 +182,9 @@ class NewDataset(datasets.GeneratorBasedBuilder):
             with gzip.open(subject_path, 'rb') as f:
                 data = pickle.load(f)
             key = data['subject_ID']
-            del data['mri_seg_dict']
-            del data['smpl_dict']
-            del data['mri_seg']
+            #del data['mri_seg_dict']
+            #del data['smpl_dict']
+            #del data['mri_seg']
             #del data['mri_labels']
             #del data['resolution']
             #del data['center']