anomaly detection python

=psutil.net_io_counters () .bytes_sent net_recv=psutil.net_io_counters () .bytes_recv net_spkg=psutil.net_io_counters () .packets_sent net_rpkg=psutil.net_io_counters () .packets_recv print ('----------------Network Information-------------------') print (' send:%dbyte number of packets:%d ' % (Net_ sent,net_spkg)) print (' Receive:%dbyte Number of packets Received:%d ' % (net_recv,net_rpkg)) print ('------- ------------------------------------') if__name__== "__main__": Nbsp;get_baseinfo () g

Notoginseng - """ the img, contours, hierarchy = cv2.findcontours (input image, hierarchy type, approximation method) + Parameters: A input Image: This method modifies the input image and suggests a copy of the incoming input image. the Hierarchy Type: + Cv2. Retr_tree will get the overall contour level in the image - Cv2. Retr_external only get the outermost contour. $ Approximation Method: $ - return Value: - img: Modified image the contours: Contour of the image - hierarchy: Layers of imag