do not ignore types when making binary im arr

SBU-BMI · Jul 9, 2024 · c8354f5 · c8354f5
1 parent 385ce1f
commit c8354f5
Showing 1 changed file with 1 addition and 4 deletions.
diff --git a/wsinfer/patchlib/segment.py b/wsinfer/patchlib/segment.py
@@ -66,10 +66,7 @@ def segment_tissue(
     _, im_arr = cv.threshold(
         im_arr, thresh=binary_threshold, maxval=255, type=cv.THRESH_BINARY
     )
-
-    # Convert to boolean dtype. This helps with static type analysis because at this
-    # point, im_arr is a uint8 array.
-    im_arr_binary: npt.NDArray[np.bool_] = im_arr > 0  # type: ignore
+    im_arr_binary: npt.NDArray[np.bool_] = im_arr > 0
 
     # Closing. This removes small holes. It might not be entirely necessary because
     # we have hole removal below.