Is there any tutorial or example to show how to use Inference Engine models in OpenCV

I want to know if there is a tutorial or a using example to show how to use Inference Engine pre-trained models in OpenCV to detect the objects like face, human, car, etc…

I have already downloaded and installed the Intel® OpenVINO™ toolkit I followed this wiki.

Basically I have two questions Question 1: I tried to build OpenCV from source with Inference Engine, but the CMake was unable to locate the Inference Engine_DIR, It will be better to also have a tutorial to show how to build, it the wiki above it is not very clear. So I was not able to load the Inference Engine pre-trained model in the OpenCV which was built by me, it has thrwon the exception which say the Inference Engine is not enable. OK, so I used the OpenCV which came with the OpenVINO toolkit.

Question 2: When I loaded the face-detection-adas-0001 xml and bin using cv::dnn::Net::readxxxxx(xml, bin) it was woking and did not throw any exception, but in the next step I don’t know how to pass the frame (cv::Mat) to the Network and get the result. I am looking for an axample to show how to the pre-trained models in OpenCV.

Thanks!!!

[dkurt]

Just for example,

import cv2 as cv

net = cv.dnn.readNet('/opt/intel/computer_vision_sdk_2018.4.420/deployment_tools/intel_models/face-detection-adas-0001/FP32/face-detection-adas-0001.bin',
                     '/opt/intel/computer_vision_sdk_2018.4.420/deployment_tools/intel_models/face-detection-adas-0001/FP32/face-detection-adas-0001.xml')

cap = cv.VideoCapture(0)

while cv.waitKey(1) < 0:
    hasFrame, frame = cap.read()
    if not hasFrame:
        break

    blob = cv.dnn.blobFromImage(frame, size=(672, 384))
    net.setInput(blob)
    out = net.forward()

    for detection in out.reshape(-1, 7):
        confidence = float(detection[2])
        xmin = int(detection[3] * frame.shape[1])
        ymin = int(detection[4] * frame.shape[0])
        xmax = int(detection[5] * frame.shape[1])
        ymax = int(detection[6] * frame.shape[0])

        if confidence > 0.5:
            cv.rectangle(frame, (xmin, ymin), (xmax, ymax), color=(0, 255, 0))

    cv.imshow('OpenVINO face detection', frame)

[dkurt]

@Bahramudin, as a workaround you may try to comment the following two lines in C:\Intel\computer_vision_sdk_2018.4.420\inference_engine\share\InferenceEngineConfig.cmake:

        add_subdirectory(${IE_SRC_DIR}/extension EXCLUDE_FROM_ALL ie_cpu_extension)
        add_library(IE::ie_cpu_extension ALIAS ie_cpu_extension)

https://github.com/opencv/dldt/blob/55a41d7570f78aaea0d6764d157dd7434730d56f/inference-engine/cmake/share/InferenceEngineConfig.cmake#L167-L168

Please add error messages in text instead of screenshots next time. Otherwise other users can’t find this issue if they faced similar problem.