SegDataGenerator keras 2.1.x update

keras_contrib/preprocessing/image_segmentation.py

@@ -180,10 +180,14 @@ class SegDirectoryIterator(Iterator):
         super(SegDirectoryIterator, self).__init__(
             self.nb_sample, batch_size, shuffle, seed)
 
-    def next(self):
-        with self.lock:
-            index_array, current_index, current_batch_size = next(
-                self.index_generator)
+    def _get_batches_of_transformed_samples(self, index_array):
+        """Gets a batch of transformed samples.
+        # Arguments
+            index_array: array of sample indices to include in batch.
+        # Returns
+            A batch of transformed samples.
+        """
+        current_batch_size = len(index_array)
 
         # The transformation of images is not under thread lock so it can be
         # done in parallel
@@ -272,8 +276,9 @@ class SegDirectoryIterator(Iterator):
                 label[np.where(label == self.classes)] = self.ignore_label
                 label = Image.fromarray(label, mode='P')
                 label.palette = self.palette
+                # TODO(ahundt) fix index=i, a hacky workaround since current_index + i is no long available
                 fname = '{prefix}_{index}_{hash}'.format(prefix=self.save_prefix,
-                                                         index=current_index + i,
+                                                         index=i,
                                                          hash=np.random.randint(1e4))
                 img.save(os.path.join(self.save_to_dir, 'img_' +
                                       fname + '.{format}'.format(format=self.save_format)))