# import librariesimport cv2def face_detection():    # load some pre-trained data on face frontals from opencv (haar cascade algorithm)    trained_face_data = cv2.CascadeClassifier('./haarcascade_files/haarcascade_frontalface_default.xml')    # show an image to detect    cv2.namedWindow('output', cv2.WINDOW_AUTOSIZE)    img = cv2.imread('./images/rdj.jpg')    #ims = cv2.resize(img, (110, 540))    cv2.imshow('Face detector', img)    cv2.waitKey(0)    cv2.destroyAllWindows()    print('completed')if __name__ == '__main__':   face_detection()`

(scrpers) (base) danish-khan@danishkhan-Latitude-E6430:~/scrapers/machine_learning1/face_detection1$ python face_detection2.py