Merge pull request #2491 from avinashkranjan/deepsource-transform-6dc87edd

format code with autopep8

Author: avinashkranjan

Blob Detection/BlobDetection.py

@@ -1,4 +1,4 @@
-import  cv2
+import cv2
 from tkinter.filedialog import *
 
 
@@ -7,59 +7,61 @@
 # finding binary image
 print("\nImage should preferably be white (lighter) blobs on black (darker) background ")
 photo = askopenfilename()
-img = cv2.imread(photo,cv2.IMREAD_GRAYSCALE)
-img = cv2.resize(img,(300,300))
-n,l = img.shape 
+img = cv2.imread(photo, cv2.IMREAD_GRAYSCALE)
+img = cv2.resize(img, (300, 300))
+n, l = img.shape
 count = 0
 
 # blur the image
-ksize = (5,5) # kernel size
-img = cv2.blur(img,ksize)
+ksize = (5, 5)  # kernel size
+img = cv2.blur(img, ksize)
 
 # thresholding the image
 for i in range(n):
     for j in range(l):
-        if(img[i,j]<=127):
-            img[i,j]=0
+        if (img[i, j] <= 127):
+            img[i, j] = 0
         else:
-            img[i,j]=255
+            img[i, j] = 255
 
-def dfs(i,j):
-    img[i,j]=127 # implying that we have visited this pixel for further reference
-    if (i-1>=0):
-        if(img[i-1,j]==255):
-            dfs(i-1,j)
-    if (j-1>=0):
-        if(img[i,j-1]==255):
-            dfs(i,j-1)
-    if (j+1<l):
-        if(img[i,j+1]==255):
-            dfs(i,j+1) 
-    if (i+1<n):
-        if(img[i+1,j]==255):
-            dfs(i+1,j)
-    if((i-1>=0) and (j-1>=0)):
-        if(img[i-1,j-1]==255):
-            dfs(i-1,j-1)
-    if((i-1>=0) and (j+1<l)):
-        if(img[i-1,j+1]==255):
-            dfs(i-1,j+1)
-    if((i+1<n) and (j-1>=0)):
-        if(img[i+1,j-1]==255):
-            dfs(i+1,j-1)        
-    if((i+1<n) and (j+1<l)):
-        if(img[i+1,j+1]==255):
-            dfs(i+1,j+1)
 
-cv2.namedWindow('image',cv2.WINDOW_NORMAL)
-cv2.imshow("image",img)
+def dfs(i, j):
+    img[i, j] = 127  # implying that we have visited this pixel for further reference
+    if (i-1 >= 0):
+        if (img[i-1, j] == 255):
+            dfs(i-1, j)
+    if (j-1 >= 0):
+        if (img[i, j-1] == 255):
+            dfs(i, j-1)
+    if (j+1 < l):
+        if (img[i, j+1] == 255):
+            dfs(i, j+1)
+    if (i+1 < n):
+        if (img[i+1, j] == 255):
+            dfs(i+1, j)
+    if ((i-1 >= 0) and (j-1 >= 0)):
+        if (img[i-1, j-1] == 255):
+            dfs(i-1, j-1)
+    if ((i-1 >= 0) and (j+1 < l)):
+        if (img[i-1, j+1] == 255):
+            dfs(i-1, j+1)
+    if ((i+1 < n) and (j-1 >= 0)):
+        if (img[i+1, j-1] == 255):
+            dfs(i+1, j-1)
+    if ((i+1 < n) and (j+1 < l)):
+        if (img[i+1, j+1] == 255):
+            dfs(i+1, j+1)
+
+
+cv2.namedWindow('image', cv2.WINDOW_NORMAL)
+cv2.imshow("image", img)
 cv2.waitKey(1000)
 
 
 for i in range(n):
     for j in range(l):
-        if(img[i,j]==255):
-            count += 1 #to count number of white blobs
-            dfs(i,j) 
+        if (img[i, j] == 255):
+            count += 1  # to count number of white blobs
+            dfs(i, j)
 
-print("count is",count)
+print("count is", count)