Leveraging GPU with OpenCV 4.2

I am trying to use the GPU of my virtual machine with OpenCV library (4.2) and Python 3.7.

I have installed opencv with CUDA and the following command returns 1:

import cv2  count = cv2.cuda.getCudaEnabledDeviceCount()  print(count)  

I tried to run my code with and without leveraging GPU:

start = time.time()  network = cv.dnn.readNetFromDarknet(config_path, weights_path)  if IS_CUDA:      network.setPreferableBackend(cv.dnn.DNN_BACKEND_CUDA)      network.setPreferableTarget(cv.dnn.DNN_TARGET_CUDA)  my_function(network, frame)  end = time.time()  print(end - start)  

But the running time is the same.

My question: Is using setPreferableBackend() and setPreferableTarget() enough to leverage GPU power ?

https://stackoverflow.com/questions/66694609/leveraging-gpu-with-opencv-4-2 March 18, 2021 at 11:56PM