opencv_example.cpp

// Example code for how to:
// - load an image using OpenCV
// - convert it to a fdeep::tensor3
// - use it as input for a forward pass on an image classification model
// - print the class number

// compile with:
// g++ -std=c++14 -O3 opencv_example.cpp -lopencv_core -lopencv_imgproc -lopencv_imgcodecs -o opencv_example

#include <fdeep/fdeep.hpp>

#include <opencv2/opencv.hpp>

int main()
{
    const cv::Mat image = cv::imread("image.jpg");
    cv::cvtColor(image, image, cv::COLOR_BGR2RGB);
    assert(image.isContinuous());
    const auto model = fdeep::load_model("model.json");
    // Use the correct scaling, i.e. low and high.
    const auto input = fdeep::tensor5_from_bytes(image.ptr(),
        static_cast<std::size_t>(image.rows),
        static_cast<std::size_t>(image.cols),
        static_cast<std::size_t>(image.channels()),
        0.0f, 1.0f);
    const auto result = model.predict_class({input});
    std::cout << result << std::endl;
}

Hi Dobias,
Thanks for this snippet. This is similar to what I am looking for. Although, I have a different question, I was not able to get OpenCV working in my environment with Keras. Can you point me any documentation that would help?