Update app.py

app.py

@@ -3,9 +3,21 @@ import cv2
 
 
 def inference(img):
-  my_result = cv2.erode(img,(1,1))
-  my_result = cv2.dilate(my_result,(1,1))
-  return my_result
+  #my_result = cv2.erode(img,(1,1))
+  #my_result = cv2.dilate(my_result,(1,1))
+  # https://scikit-image.org/docs/dev/api/skimage.morphology.html#skimage.morphology.remove_small_objects  
+  # my_result = cv2.remove_small_objects(binarized.astype(bool), min_size=2, connectivity=2).astype(int)
+  img_bw = 255*(cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) > 5).astype('uint8')
+
+  se1 = cv2.getStructuringElement(cv2.MORPH_RECT, (5,5))
+  se2 = cv2.getStructuringElement(cv2.MORPH_RECT, (2,2))
+  mask = cv2.morphologyEx(img_bw, cv2.MORPH_CLOSE, se1)
+  mask = cv2.morphologyEx(mask, cv2.MORPH_OPEN, se2)
+
+  mask = np.dstack([mask, mask, mask]) / 255
+  out = img * mask
+
+  return out
 
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 # For user guides, head to https://gradio.app/guides/