Merge pull request #13774 from l-bat:fix-IE-tests

This commit is contained in:
Alexander Alekhin 2019-02-15 13:54:24 +00:00
commit 9d3d5e9d65
6 changed files with 7 additions and 17 deletions

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@ -124,8 +124,7 @@ PERF_TEST_P_(DNNTestNetwork, SSD)
PERF_TEST_P_(DNNTestNetwork, OpenFace)
{
if (backend == DNN_BACKEND_HALIDE ||
(backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_OPENCL_FP16) ||
(backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_MYRIAD))
(backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_MYRIAD))
throw SkipTestException("");
processNet("dnn/openface_nn4.small2.v1.t7", "", "",
Mat(cv::Size(96, 96), CV_32FC3));

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@ -92,7 +92,7 @@ public:
{
return backendId == DNN_BACKEND_OPENCV ||
backendId == DNN_BACKEND_HALIDE ||
(backendId == DNN_BACKEND_INFERENCE_ENGINE && (preferableTarget != DNN_TARGET_MYRIAD || type == CHANNEL_NRM));
backendId == DNN_BACKEND_INFERENCE_ENGINE;
}
#ifdef HAVE_OPENCL

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@ -67,14 +67,10 @@ public:
{
if (pnorm != 2)
return false;
if (!blobs.empty())
return true;
if (preferableTarget == DNN_TARGET_MYRIAD)
return !acrossSpatial;
return startAxis == 1 && (!acrossSpatial || endAxis > 1);
return preferableTarget == DNN_TARGET_MYRIAD ? !acrossSpatial : startAxis == 1;
}
else
return backendId == DNN_BACKEND_OPENCV;
return backendId == DNN_BACKEND_OPENCV;
}
bool getMemoryShapes(const std::vector<MatShape> &inputs,

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@ -54,12 +54,11 @@ public:
#ifdef HAVE_INF_ENGINE
if (backendId == DNN_BACKEND_INFERENCE_ENGINE)
{
return (interpolation == "nearest" && preferableTarget != DNN_TARGET_MYRIAD) ||
return (interpolation == "nearest" && scaleWidth == scaleHeight) ||
(interpolation == "bilinear" && INF_ENGINE_VER_MAJOR_GE(INF_ENGINE_RELEASE_2018R4));
}
else
#endif
return backendId == DNN_BACKEND_OPENCV;
return backendId == DNN_BACKEND_OPENCV;
}
virtual void finalize(InputArrayOfArrays inputs_arr, OutputArrayOfArrays outputs_arr) CV_OVERRIDE

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@ -558,8 +558,6 @@ TEST_P(Test_TensorFlow_layers, split)
TEST_P(Test_TensorFlow_layers, resize_nearest_neighbor)
{
if (backend == DNN_BACKEND_INFERENCE_ENGINE && target != DNN_TARGET_MYRIAD)
throw SkipTestException("");
runTensorFlowNet("resize_nearest_neighbor");
runTensorFlowNet("keras_upsampling2d");
}

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@ -277,8 +277,6 @@ TEST_P(Test_Torch_nets, OpenFace_accuracy)
throw SkipTestException("");
#endif
checkBackend();
if (backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_OPENCL_FP16)
throw SkipTestException("");
const string model = findDataFile("dnn/openface_nn4.small2.v1.t7", false);
Net net = readNetFromTorch(model);