Update app.py

app.py

@@ -382,33 +382,35 @@ def getinnerColor(BlackmaskDetected,img,detectedColors,finalColorArray,num1,num2
       countBlackMasks+=1
 
   return xored,invertedmask , BlackmaskDetected
-
-def allLevelsofColor(BlackmaskDetected,img,levelonly, invertedmask,color,finalColorArray):
-  print('ay hagaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa')
+    
+def allLevelsofColor(BlackmaskDetected,levelonly, invertedmask,color,finalColorArray):
+  # cc=levelonly.copy()
   firstLevel=levelonly
   firstLevel1=levelonly
-
+  print('in')
   Blackmask = np.zeros(img.shape[:2], dtype="uint8")
 
   masked,maskedColor,rgbcolor=DetectColor(invertedmask,color)
   color=hexRGB(color)
-
+  color=[color[0],color[1],color[2]]
+  rgbcolor=[rgbcolor[0],rgbcolor[1],rgbcolor[2]]
+  print(rgbcolor,color)
   pil_image=Image.fromarray(masked)
   extrema = pil_image.convert("L").getextrema()
   if extrema != (0, 0): # if image is not black --> has a colored mask within
 
-    if rgbcolor.all()==color.all(): #found level tany gowa b nfs el lon 
-
+    if rgbcolor==color: #found level tany gowa b nfs el lon 
+      print('kkkkkkkk')
       ColoredContour, Coloredhierarchy = cv2.findContours(masked, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)    
       Coloredhierarchy=Coloredhierarchy[0]
       for component in zip(ColoredContour,Coloredhierarchy):
         cnt=component[0]
         hier=component[1]
         area1 = cv2.contourArea(cnt)
-        if (area1 > 500 ): 
+        if (area1 > 1000 ): 
           if hier[3]> -1:
             cv2.drawContours(Blackmask,[cnt],0,(255,255,255), -1) 
-            cv2.drawContours(Blackmask,[cnt],0,(0,0,0), 25)  
+            cv2.drawContours(Blackmask,[cnt],0,(0,0,0), 20)  
             cv2.drawContours(BlackmaskDetected,[cnt],0,(255,255,255), -1) 
            
             firstLevel=cv2.bitwise_and(invertedmask,invertedmask,mask=Blackmask)
@@ -419,32 +421,36 @@ def allLevelsofColor(BlackmaskDetected,img,levelonly, invertedmask,color,finalCo
                 (firstLevel[:, :, 1] == 0) & 
                 (firstLevel[:, :, 2] == 0)
             )
-            print('xcvbn')
+
             # set those pixels to white
             firstLevel[black_pixels] = [255, 255, 255]
             firstLevel1=cv2.bitwise_and(levelonly,firstLevel)
+            # cv2_imshow(firstLevel1)
 
+            # cv2_imshow(firstLevel1)
             for othercolor in finalColorArray:
-              othercolor=hexRGB(othercolor)
-              print(othercolor,color )
-              if [othercolor[0],othercolor[1],othercolor[2]]!=[color[0],color[1],color[2]]:
-                # print(othercolor.all(),color.all() )
+              othercolor2=hexRGB(othercolor)
+              othercolor2=[othercolor2[0],othercolor2[1],othercolor2[2]]
+              print(othercolor2,color)
+              if othercolor2!=color:
+                print('anothre')
                 masked0=DetectColor(firstLevel,othercolor)[0] 
                 pil_image0=Image.fromarray(masked0)
                 extrema0 = pil_image0.convert("L").getextrema()
-                print('jknjfnskjvsjgs')
                 if extrema != (0, 0): # if image is not black --> has a colored mask within
                   ColoredContour0, Coloredhierarchy0 = cv2.findContours(masked0, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)    
                   for cnt in ColoredContour0:
                     area1 = cv2.contourArea(cnt)
-                    if (area1 > 500 ): 
-                      print('REMOVEDDDDDDDDDDDDDDDDDDDD')
+                    if (area1 > 1000 ): 
                       cv2.drawContours(firstLevel1,[cnt],0,(255,255,255), -1)  
-                      cv2.drawContours(firstLevel1,[cnt],0,(255,255,255), 20)  
+                      cv2.drawContours(firstLevel1,[cnt],0,(255,255,255), 10)  
                       cv2.drawContours(BlackmaskDetected,[cnt],0,(0,0,0), -1) 
-
+                      # cv2.drawContours(Blackmask,[cnt],0,(255,255,255), -1)  
+                      # cv2.drawContours(Blackmask,[cnt],0,(255,255,255), 10)  
+                      # cv2_imshow(firstLevel1)
+            # cv2_imshow(Blackmask)
   return firstLevel1, BlackmaskDetected
-
+    
 def getColoredContour(mask,img,finalColorArray,num1,num2,flag,eachcolor):
     print('uuuuuuuuummmmmmmmmmmmm')
     ColoredContour, Coloredhierarchy = cv2.findContours(mask, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)