Specify wildcard imports in medical imaging task

vision/medical_imaging/3d-unet-kits19/base_SUT.py

@@ -23,7 +23,7 @@
 import inference_utils as infu
 
 from kits_QSL import get_kits_QSL
-from global_vars import *
+from global_vars import ROI_SHAPE, SLIDE_OVERLAP_FACTOR
 
 
 class BASE_3DUNET_SUT:

vision/medical_imaging/3d-unet-kits19/inference_utils.py

@@ -20,7 +20,7 @@
 import time
 from scipy import signal
 
-from global_vars import *
+from global_vars import ROI_SHAPE, SLIDE_OVERLAP_FACTOR
 
 __doc__ = """
 Collection of utilities 3D UNet MLPerf-Inference reference model uses.

vision/medical_imaging/3d-unet-kits19/preprocess.py

@@ -29,7 +29,7 @@
 from scipy.ndimage.interpolation import zoom
 from pathlib import Path
 
-from global_vars import *
+from global_vars import CALIB_CASES, TARGET_CASES, MEAN_VAL, STDDEV_VAL, MIN_CLIP_VAL, MAX_CLIP_VAL, PADDING_VAL, TARGET_SPACING, ROI_SHAPE, SLIDE_OVERLAP_FACTOR, ROI_SHAPE, CHECKSUM_CALIB_FILE, CHECKSUM_INFER_FILE
 
 
 __doc__ = """

vision/medical_imaging/3d-unet-kits19/unet_pytorch_to_onnx.py

@@ -16,7 +16,7 @@
 # limitations under the License.
 
 
-from global_vars import *
+from global_vars import ROI_SHAPE
 from pathlib import Path
 import torch
 import argparse