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OpenCV face detection network using Inference Engine backend

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This commit is contained in:
Dmitry Kurtaev
2018-02-06 16:23:18 +03:00
parent 398ebbac98
commit ed94136548
8 changed files with 150 additions and 45 deletions
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modules/dnn/test/test_backends.cpp
+12
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@@ -206,9 +206,21 @@ TEST_P(DNNTestNetwork, OpenPose_pose_mpi_faster_4_stages)
TEST_P(DNNTestNetwork, OpenFace)
{
if (backend == DNN_BACKEND_HALIDE) throw SkipTestException("");
processNet("dnn/openface_nn4.small2.v1.t7", "", Size(96, 96), "", "torch");
}
TEST_P(DNNTestNetwork, opencv_face_detector)
{
if (backend == DNN_BACKEND_HALIDE ||
backend == DNN_BACKEND_DEFAULT && target == DNN_TARGET_OPENCL)
throw SkipTestException("");
Mat img = imread(findDataFile("gpu/lbpcascade/er.png", false));
Mat inp = blobFromImage(img, 1.0, Size(), Scalar(104.0, 177.0, 123.0), false, false);
processNet("dnn/opencv_face_detector.caffemodel", "dnn/opencv_face_detector.prototxt",
inp, "detection_out", "caffe");
}
const tuple<DNNBackend, DNNTarget> testCases[] = {
#ifdef HAVE_HALIDE
tuple<DNNBackend, DNNTarget>(DNN_BACKEND_HALIDE, DNN_TARGET_CPU),