opencv-MIRROR/modules/dnn/test/test_caffe_importer.cpp

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#include "test_precomp.hpp"
#include "npy_blob.hpp"
#include <opencv2/dnn/shape_utils.hpp>
#include <set>

namespace opencv_test { namespace {

template<typename TString>
static std::string _tf(TString filename)
{
    return findDataFile(std::string("dnn/") + filename);
}

TEST(Reproducibility_SSD, Accuracy)
{
    applyTestTag(
        CV_TEST_TAG_MEMORY_512MB,
        CV_TEST_TAG_DEBUG_VERYLONG
    );

    Net net = readNetFromONNX(findDataFile("dnn/onnx/models/ssd_vgg16.onnx", false));
    ASSERT_FALSE(net.empty());
    net.setPreferableBackend(DNN_BACKEND_OPENCV);

    Mat sample = imread(_tf("street.png"));
    ASSERT_TRUE(!sample.empty());

    if (sample.channels() == 4)
        cvtColor(sample, sample, COLOR_BGRA2BGR);

    Mat in_blob = blobFromImage(sample, 1.0f, Size(300, 300), Scalar(), false);
    net.setInput(in_blob);

    Mat out = net.forward();

    Mat ref = blobFromNPY(_tf("ssd_out.npy"));
    normAssertDetections(ref, out, "", 0.06, 1e-4, 0.18);
}

TEST(Test_Caffe, multiple_inputs)
{
    const string model = findDataFile("dnn/layers/net_input.onnx");
    Net net = readNetFromONNX(model);
    net.setPreferableBackend(DNN_BACKEND_OPENCV);

    Mat first_image(10, 11, CV_32FC3);
    Mat second_image(10, 11, CV_32FC3);
    randu(first_image, -1, 1);
    randu(second_image, -1, 1);

    first_image = blobFromImage(first_image);
    second_image = blobFromImage(second_image);

    Mat first_image_blue_green = slice(first_image, Range::all(), Range(0, 2), Range::all(), Range::all());
    Mat first_image_red = slice(first_image, Range::all(), Range(2, 3), Range::all(), Range::all());
    Mat second_image_blue_green = slice(second_image, Range::all(), Range(0, 2), Range::all(), Range::all());
    Mat second_image_red = slice(second_image, Range::all(), Range(2, 3), Range::all(), Range::all());

    net.setInput(first_image_blue_green, "old_style_input_blue_green");
    net.setInput(first_image_red, "different_name_for_red");
    net.setInput(second_image_blue_green, "input_layer_blue_green");
    net.setInput(second_image_red, "old_style_input_red");
    Mat out = net.forward();

    normAssert(out, first_image + second_image);
}

}} // namespace