Update app.py

app.py

@@ -5,7 +5,7 @@ import numpy as np
 #num_inference_steps_slider_component_v1 = 121 
 #num_inference_steps_slider_component_v2  = 3
 
-def inference(img, v1  = "121" , v2 = "9" ):
+def inference(img, v1  = "121" , v2 = 9 ):
   #out = cv2.erode(img,(15,15))
   #out = cv2.dilate(out,(55,55))
   # https://scikit-image.org/docs/dev/api/skimage.morphology.html#skimage.morphology.remove_small_objects  
@@ -25,7 +25,7 @@ def inference(img, v1  = "121" , v2 = "9" ):
   out = cv2.GaussianBlur( gray ,(5,5),0)
   #  v1 121 , v2 1
   #out = cv2.adaptiveThreshold( out ,255,cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, int( float(v1) ) , int( float(v2) ) )
-  out = cv2.adaptiveThreshold( out ,255,cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 121, 9 )
+  out = cv2.adaptiveThreshold( out ,255,cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 77 , v2 )
   #out = cv2.dilate(out,(5,5))
   #out = blur = cv.GaussianBlur(img,(5,5),0)
   #out =  cv2.threshold(out,0,255,cv2.THRESH_BINARY+cv2.THRESH_OTSU)