style: format code with autopep8

Format code with autopep8

This commit fixes the style issues introduced in 8e708de according to the output
from Autopep8.

Details: https://app.deepsource.com/gh/avinashkranjan/Amazing-Python-Scripts/transform/ebdde98e-9d1c-496c-b538-e36e7d428071/

Author: deepsource-autofix[bot]

Circle_Detect_HoughCircle/HoughCircle.py

@@ -5,22 +5,23 @@
 import tkinter as tk
 
 photo = askopenfilename()
-img = cv2.imread(photo,cv2.IMREAD_GRAYSCALE)
-blurred = cv2.medianBlur(img,5)
-edges = cv2.Canny(blurred,50,150,apertureSize=3)
+img = cv2.imread(photo, cv2.IMREAD_GRAYSCALE)
+blurred = cv2.medianBlur(img, 5)
+edges = cv2.Canny(blurred, 50, 150, apertureSize=3)
 # the image read in grayscale format is blurred and edges are detected in it
-circles = cv2.HoughCircles(edges,cv2.HOUGH_GRADIENT,1,30,param1=50,param2=31,minRadius=0,maxRadius=0)
+circles = cv2.HoughCircles(edges, cv2.HOUGH_GRADIENT,
+                           1, 30, param1=50, param2=31, minRadius=0, maxRadius=0)
 # the parameters in the above function needs to be adjusted for each image accordingly.
 circles = np.uint16(np.around(circles))
 
-colorImg = cv2.cvtColor(img,cv2.COLOR_GRAY2BGR)
-for i in circles[0,:]:
-    cv2.circle(colorImg,(i[0],i[1]),i[2],(0,255,0),2)
+colorImg = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR)
+for i in circles[0, :]:
+    cv2.circle(colorImg, (i[0], i[1]), i[2], (0, 255, 0), 2)
     # drawing the circle
-    cv2.circle(colorImg,(i[0],i[1]),2,(0,0,255),3)
+    cv2.circle(colorImg, (i[0], i[1]), 2, (0, 0, 255), 3)
     # drawing its center
 
-cv2.imwrite('output.jpg',colorImg)
-cv2.imshow('output',colorImg)
+cv2.imwrite('output.jpg', colorImg)
+cv2.imshow('output', colorImg)
 cv2.waitKey(2000)
-cv2.destroyAllWindows()
+cv2.destroyAllWindows()