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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/perf/perf_net.cpp
+10
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@@ -150,6 +150,7 @@ PERF_TEST_P_(DNNTestNetwork, SSD)
PERF_TEST_P_(DNNTestNetwork, OpenFace)
{
if (backend == DNN_BACKEND_HALIDE) throw SkipTestException("");
processNet("dnn/openface_nn4.small2.v1.t7", "", "",
Mat(cv::Size(96, 96), CV_32FC3), "", "torch");
}
@@ -197,6 +198,15 @@ PERF_TEST_P_(DNNTestNetwork, OpenPose_pose_mpi_faster_4_stages)
Mat(cv::Size(368, 368), CV_32FC3), "", "caffe");
}
PERF_TEST_P_(DNNTestNetwork, opencv_face_detector)
{
if (backend == DNN_BACKEND_HALIDE ||
backend == DNN_BACKEND_DEFAULT && target == DNN_TARGET_OPENCL)
throw SkipTestException("");
processNet("dnn/opencv_face_detector.caffemodel", "dnn/opencv_face_detector.prototxt", "",
Mat(cv::Size(300, 300), CV_32FC3), "", "caffe");
}
const tuple<DNNBackend, DNNTarget> testCases[] = {
#ifdef HAVE_HALIDE
tuple<DNNBackend, DNNTarget>(DNN_BACKEND_HALIDE, DNN_TARGET_CPU),