Update kidney-ct-abnormality.py

kidney-ct-abnormality.py

@@ -50,7 +50,7 @@ class KidneyCTAbnormality(datasets.GeneratorBasedBuilder):
             features=datasets.Features(
                 {
                     "images": datasets.Sequence(datasets.Image()),
-                    "img_f64_array": datasets.Array3D(dtype = 'float64'),
+                    # "img_f64_array": datasets.Array3D(dtype = 'float64'),
                     "label": datasets.ClassLabel(num_classes=2, names=LABELS),
                 }
             ),
@@ -90,6 +90,8 @@ class KidneyCTAbnormality(datasets.GeneratorBasedBuilder):
 
     def _generate_examples(self, filepath, metadata):
         """Generate images and labels for splits."""
+        h = 0
+        w = 0
         for i, meta in enumerate(metadata):
             img_path = os.path.join(
                 filepath,
@@ -100,9 +102,15 @@ class KidneyCTAbnormality(datasets.GeneratorBasedBuilder):
             img = sitk.ReadImage(img_path)
             img_array = sitk.GetArrayFromImage(img)
             img_array_c = img_array.astype('uint8')
+            if img_array_c.shape[0]>h:
+                h = img_array_c.shape[0]
+                print(h)
+            if img_array_c.shape[1]>w:
+                w = img_array_c.shape[1]
+                print(w)
             # img_array_cr = img_array_c.transpose(2, 0, 1)[..., np.newaxis]
             yield i, {
                 "images": img_array_c,
-                "img_f64_array": img_array,
+                # "img_f64_array": img_array,
                 "label": meta["abnormality"],
             }