car_detection in image OpenCV

Image-Processing/car_detection_image.py

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+import cv2
+img_file = "car2.jpg"
+classifier_car = 'car_dect.xml'  #trained car data  Link:"https://gist.github.com/199995/37e1e0af2bf8965e8058a9dfa3285bc6"
+img=cv2.imread(img_file) #create image reader
+black_and_white = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY) #convert image black and white i.e. grayscale 
+car_tracker = cv2.CascadeClassifier(classifier_car) #create classifier
+cars = car_tracker.detectMultiScale(black_and_white) #detect cars
+
+for (x,y,w,h) in cars:  ## the above variable will return 4 cordinates i.e height,width,postionx,positiony
+    cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,0),3) ##this loop will create grren rectangle when car is detected
+
+cv2.imshow('car image',img) #display image
+cv2.waitKey()
+