From: Dmitry Kurtaev Date: Tue, 6 Aug 2019 15:41:30 +0000 (+0300) Subject: Enable some tests for 2019R2 X-Git-Tag: accepted/tizen/6.0/unified/20201030.111113~1^2~131^2~6^2 X-Git-Url: http://review.tizen.org/git/?a=commitdiff_plain;h=6193e403e7214b679ce674382daec5ea5ac7b9e7;p=platform%2Fupstream%2Fopencv.git Enable some tests for 2019R2 --- diff --git a/modules/dnn/perf/perf_net.cpp b/modules/dnn/perf/perf_net.cpp index fa4b2f9..c1905cb 100644 --- a/modules/dnn/perf/perf_net.cpp +++ b/modules/dnn/perf/perf_net.cpp @@ -123,9 +123,12 @@ PERF_TEST_P_(DNNTestNetwork, SSD) PERF_TEST_P_(DNNTestNetwork, OpenFace) { - if (backend == DNN_BACKEND_HALIDE || - (backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_MYRIAD)) + if (backend == DNN_BACKEND_HALIDE) throw SkipTestException(""); +#if defined(INF_ENGINE_RELEASE) && INF_ENGINE_VER_MAJOR_EQ(2018050000) + if (backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_MYRIAD) + throw SkipTestException(""); +#endif processNet("dnn/openface_nn4.small2.v1.t7", "", "", Mat(cv::Size(96, 96), CV_32FC3)); } @@ -185,16 +188,6 @@ PERF_TEST_P_(DNNTestNetwork, Inception_v2_SSD_TensorFlow) { if (backend == DNN_BACKEND_HALIDE) throw SkipTestException(""); -#if defined(INF_ENGINE_RELEASE) - if (backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_MYRIAD - && getInferenceEngineVPUType() == CV_DNN_INFERENCE_ENGINE_VPU_TYPE_MYRIAD_X) - throw SkipTestException("Test is disabled for MyriadX"); -#endif -#if defined(INF_ENGINE_RELEASE) && INF_ENGINE_VER_MAJOR_EQ(2019020000) - if (backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_MYRIAD) - throw SkipTestException("Test is disabled for Myriad in OpenVINO 2019R2"); -#endif - processNet("dnn/ssd_inception_v2_coco_2017_11_17.pb", "ssd_inception_v2_coco_2017_11_17.pbtxt", "", Mat(cv::Size(300, 300), CV_32FC3)); } diff --git a/modules/dnn/test/test_tf_importer.cpp b/modules/dnn/test/test_tf_importer.cpp index 3dd0481..fa98e74 100644 --- a/modules/dnn/test/test_tf_importer.cpp +++ b/modules/dnn/test/test_tf_importer.cpp @@ -357,11 +357,9 @@ TEST_P(Test_TensorFlow_nets, MobileNet_SSD) #if defined(INF_ENGINE_RELEASE) if (backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_MYRIAD) { -#if INF_ENGINE_VER_MAJOR_EQ(2019010000) +#if INF_ENGINE_VER_MAJOR_GE(2019020000) if (getInferenceEngineVPUType() == CV_DNN_INFERENCE_ENGINE_VPU_TYPE_MYRIAD_X) applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD_X); -#else - applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD); #endif } #endif @@ -395,16 +393,10 @@ TEST_P(Test_TensorFlow_nets, MobileNet_SSD) TEST_P(Test_TensorFlow_nets, Inception_v2_SSD) { applyTestTag(target == DNN_TARGET_CPU ? CV_TEST_TAG_MEMORY_512MB : CV_TEST_TAG_MEMORY_1GB); -#if defined(INF_ENGINE_RELEASE) - if (backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_MYRIAD) - { -#if INF_ENGINE_VER_MAJOR_LE(2019010000) - if (getInferenceEngineVPUType() == CV_DNN_INFERENCE_ENGINE_VPU_TYPE_MYRIAD_X) - applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD_X); -#else - applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD); -#endif - } +#if defined(INF_ENGINE_RELEASE) && INF_ENGINE_VER_MAJOR_LE(2019010000) + if (backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_MYRIAD && + getInferenceEngineVPUType() == CV_DNN_INFERENCE_ENGINE_VPU_TYPE_MYRIAD_X) + applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD_X); #endif checkBackend(); @@ -456,12 +448,13 @@ TEST_P(Test_TensorFlow_nets, MobileNet_v1_SSD) float detectionConfThresh = (target == DNN_TARGET_MYRIAD) ? 0.35 : 0.3; #if defined(INF_ENGINE_RELEASE) - if (backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_MYRIAD - && getInferenceEngineVPUType() == CV_DNN_INFERENCE_ENGINE_VPU_TYPE_MYRIAD_X - ) + if (backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_MYRIAD && + getInferenceEngineVPUType() == CV_DNN_INFERENCE_ENGINE_VPU_TYPE_MYRIAD_X) + { scoreDiff = 0.061; iouDiff = 0.12; detectionConfThresh = 0.36; + } #endif normAssertDetections(ref, out, "", detectionConfThresh, scoreDiff, iouDiff); expectNoFallbacksFromIE(net); diff --git a/modules/dnn/test/test_torch_importer.cpp b/modules/dnn/test/test_torch_importer.cpp index ddc7f18..de81093 100644 --- a/modules/dnn/test/test_torch_importer.cpp +++ b/modules/dnn/test/test_torch_importer.cpp @@ -262,7 +262,7 @@ class Test_Torch_nets : public DNNTestLayer {}; TEST_P(Test_Torch_nets, OpenFace_accuracy) { -#if defined(INF_ENGINE_RELEASE) +#if defined(INF_ENGINE_RELEASE) && INF_ENGINE_VER_MAJOR_EQ(2018050000) if (backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_MYRIAD) applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD); #endif @@ -287,8 +287,8 @@ TEST_P(Test_Torch_nets, OpenFace_accuracy) // Reference output values are in range [-0.17212, 0.263492] // on Myriad problem layer: l4_Pooling - does not use pads_begin - float l1 = (target == DNN_TARGET_OPENCL_FP16) ? 4e-4 : 1e-5; - float lInf = (target == DNN_TARGET_OPENCL_FP16) ? 1.5e-3 : 1e-3; + float l1 = (target == DNN_TARGET_OPENCL_FP16 || target == DNN_TARGET_MYRIAD) ? 2e-3 : 1e-5; + float lInf = (target == DNN_TARGET_OPENCL_FP16 || target == DNN_TARGET_MYRIAD) ? 5e-3 : 1e-3; Mat outRef = readTorchBlob(_tf("net_openface_output.dat"), true); normAssert(out, outRef, "", l1, lInf); }