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OpenCV using Movidius NCS2 error using Darknet

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I am trying to perform my custom object detector using the Intel Movidius Neural Compute Stick 2. The network that I am using is based on YOLO, and therefore has the graph structure saved as a .cfg file and the weights as a .weights file. I use OpenCV which was installed with Openvino. More information : - Operating System -> Ubuntu 18.04.3 LTS - OpenCV => 4.1.2 My code is here : import cv2 as cv modelConfiguration_big = "yolov3.cfg" modelWeights_big = "yolov3.weights" # load network net = cv.dnn.readNetFromDarknet(modelConfiguration_big, modelWeights_big) net.setPreferableBackend(cv.dnn.DNN_BACKEND_INFERENCE_ENGINE) net.setPreferableTarget(cv.dnn.DNN_TARGET_MYRIAD) # perform inference frame = cv2.imread('img_path.jpg') blob = cv.dnn.blobFromImage(frame, 1/255, (inpWidth, inpHeight), [0,0,0], 1, crop=False) net.setInput(blob) outs = net.forward(getOutputsNames(net)) On running the code, I get the following error: Traceback (most recent call last): File "Detector_1.py", line 236, in outs = net_big.forward(getOutputsNames(net_big)) cv2.error: OpenCV(4.1.2-openvino) /home/jenkins/workspace/OpenCV/OpenVINO/build/opencv/modules/dnn/src/op_inf_engine.cpp:704: error: (-215:Assertion failed) Failed to initialize Inference Engine backend: Unsupported primitive of type: OpenCVLayer name: yolo_82 in function 'initPlugin'

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