[core][hot pixel removal] Use median filter from silx instead of opencv

darfix/core/imageOperations.py

@@ -29,7 +29,7 @@ __license__ = "MIT"
 __date__ = "29/11/2019"
 
 import numpy
-import cv2
+import silx.math
 
 from enum import Enum
 
@@ -145,7 +145,7 @@ def hot_pixel_removal(data, ksize=3):
         elif frame.dtype == numpy.float:
             frame = frame.astype(numpy.float32)
         corrected_frame = numpy.array(frame)
-        median = cv2.medianBlur(frame, ksize)
+        median = silx.math.medfilt(frame, ksize)
         hot_pixels = numpy.subtract(frame, median, dtype=numpy.int64)
         threshold = numpy.std(hot_pixels)
         corrected_frame[hot_pixels > threshold] = median[hot_pixels > threshold]