Chris Oswald commited on
Commit
745e2d8
·
1 Parent(s): cbcc262
Files changed (1) hide show
  1. SPIDER.py +7 -2
SPIDER.py CHANGED
@@ -66,7 +66,8 @@ def subset_file_list(all_files: List[str], subset_ids: Set[int]):
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  def standardize_3D_image(
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  image: np.ndarray,
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- resize_shape: Tuple[int, int, int]
 
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  ) -> np.ndarray:
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  """Aligns dimensions of image to be (height, width, channels); resizes
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  images to values specified in resize_shape; and rescales pixel values
@@ -75,12 +76,14 @@ def standardize_3D_image(
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  if image.shape[0] < image.shape[2]:
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  image = np.transpose(image, axes=[1, 2, 0])
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  # Resize image
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- image = skimage.transform.resize(image, resize_shape)
 
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  # Rescale to UInt8 type (required for PyArrow and PIL)
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  image = skimage.img_as_ubyte(image)
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  return image
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  # Define constants
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  MIN_IVD = 0
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  MAX_IVD = 9
@@ -494,6 +497,7 @@ class SPIDER(datasets.GeneratorBasedBuilder):
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  image_array_standardized = standardize_3D_image(
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  image_array_original,
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  resize_shape,
 
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  )
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  # Load .mha mask file
@@ -511,6 +515,7 @@ class SPIDER(datasets.GeneratorBasedBuilder):
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  mask_array_standardized = standardize_3D_image(
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  mask_array_standardized,
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  resize_shape,
 
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  )
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  # Extract overview data corresponding to image
 
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  def standardize_3D_image(
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  image: np.ndarray,
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+ resize_shape: Tuple[int, int, int],
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+ nearest_neighbor_interpolation: bool = False,
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  ) -> np.ndarray:
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  """Aligns dimensions of image to be (height, width, channels); resizes
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  images to values specified in resize_shape; and rescales pixel values
 
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  if image.shape[0] < image.shape[2]:
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  image = np.transpose(image, axes=[1, 2, 0])
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  # Resize image
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+ order = 0 if nearest_neighbor_interpolation else 1
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+ image = skimage.transform.resize(image, resize_shape, order=order)
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  # Rescale to UInt8 type (required for PyArrow and PIL)
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  image = skimage.img_as_ubyte(image)
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  return image
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+
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  # Define constants
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  MIN_IVD = 0
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  MAX_IVD = 9
 
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  image_array_standardized = standardize_3D_image(
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  image_array_original,
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  resize_shape,
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+ nearest_neighbor_interpolation=False,
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  )
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  # Load .mha mask file
 
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  mask_array_standardized = standardize_3D_image(
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  mask_array_standardized,
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  resize_shape,
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+ nearest_neighbor_interpolation=True,
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  )
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  # Extract overview data corresponding to image