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dnn(test): OpenVINO 2019R2

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This commit is contained in:
Alexander Alekhin
2019-07-25 06:57:49 +00:00
committed by Alexander Alekhin
parent d2911a8d41
commit 416c693b3f
6 changed files with 80 additions and 9 deletions
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modules/dnn/test/test_tf_importer.cpp
+20 -7
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@@ -357,11 +357,11 @@ 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_GE(2019010000)
#if INF_ENGINE_VER_MAJOR_EQ(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);
applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD);
#endif
}
#endif
@@ -395,12 +395,16 @@ 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
&& getInferenceEngineVPUType() == CV_DNN_INFERENCE_ENGINE_VPU_TYPE_MYRIAD_X
)
applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD_X);
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
}
#endif
checkBackend();
@@ -432,6 +436,11 @@ TEST_P(Test_TensorFlow_nets, Inception_v2_SSD)
TEST_P(Test_TensorFlow_nets, MobileNet_v1_SSD)
{
#if defined(INF_ENGINE_RELEASE) && INF_ENGINE_VER_MAJOR_EQ(2019020000)
if (backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_MYRIAD)
applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD, CV_TEST_TAG_DNN_SKIP_IE, CV_TEST_TAG_DNN_SKIP_IE_2019R2);
#endif
checkBackend();
std::string proto = findDataFile("dnn/ssd_mobilenet_v1_coco_2017_11_17.pbtxt");
std::string model = findDataFile("dnn/ssd_mobilenet_v1_coco_2017_11_17.pb", false);
@@ -506,6 +515,10 @@ TEST_P(Test_TensorFlow_nets, MobileNet_v1_SSD_PPN)
if (backend == DNN_BACKEND_INFERENCE_ENGINE && (target == DNN_TARGET_OPENCL || target == DNN_TARGET_OPENCL_FP16))
applyTestTag(target == DNN_TARGET_OPENCL ? CV_TEST_TAG_DNN_SKIP_IE_OPENCL : CV_TEST_TAG_DNN_SKIP_IE_OPENCL_FP16);
#endif
#if defined(INF_ENGINE_RELEASE) && INF_ENGINE_VER_MAJOR_EQ(2019020000)
if (backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_MYRIAD)
applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD, CV_TEST_TAG_DNN_SKIP_IE, CV_TEST_TAG_DNN_SKIP_IE_2019R2);
#endif
checkBackend();
std::string proto = findDataFile("dnn/ssd_mobilenet_v1_ppn_coco.pbtxt");