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Code Packages Releases Wiki Activity

Merge remote-tracking branch 'upstream/3.4' into merge-3.4

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This commit is contained in:
Alexander Alekhin
2020-02-10 19:40:29 +03:00
parent 8a588f2c0b 1dd24eeec0
commit aa2777ed61
26 changed files with 1517 additions and 1313 deletions
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modules/dnn/test/test_backends.cpp
+3 -1
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@@ -486,7 +486,9 @@ TEST_P(DNNTestNetwork, FastNeuralStyle_eccv16)
if (backend == DNN_BACKEND_HALIDE)
applyTestTag(CV_TEST_TAG_DNN_SKIP_HALIDE);
if (backend == DNN_BACKEND_INFERENCE_ENGINE_NN_BUILDER_2019 && target == DNN_TARGET_MYRIAD)
applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD);
applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD, CV_TEST_TAG_DNN_SKIP_IE_NN_BUILDER);
if (backend == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH && target == DNN_TARGET_MYRIAD)
applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD, CV_TEST_TAG_DNN_SKIP_IE_NGRAPH);
#if defined(INF_ENGINE_RELEASE)
#if INF_ENGINE_VER_MAJOR_LE(2018050000)
modules/dnn/test/test_caffe_importer.cpp
+7 -2
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@@ -330,7 +330,9 @@ TEST_P(Reproducibility_MobileNet_SSD, Accuracy)
}
// There is something wrong with Reshape layer in Myriad plugin.
if (backendId == DNN_BACKEND_INFERENCE_ENGINE_NN_BUILDER_2019)
if (backendId == DNN_BACKEND_INFERENCE_ENGINE_NN_BUILDER_2019
|| backendId == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH
)
{
if (targetId == DNN_TARGET_MYRIAD || targetId == DNN_TARGET_OPENCL_FP16)
return;
@@ -675,7 +677,10 @@ TEST_P(Test_Caffe_nets, FasterRCNN_vgg16)
if ((backend == DNN_BACKEND_INFERENCE_ENGINE_NN_BUILDER_2019 || backend == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH) && (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);
if ((backend == DNN_BACKEND_INFERENCE_ENGINE_NN_BUILDER_2019 || backend == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH) && target == DNN_TARGET_MYRIAD)
if (backend == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH)
applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_NGRAPH, CV_TEST_TAG_DNN_SKIP_IE_VERSION);
if (backend == DNN_BACKEND_INFERENCE_ENGINE_NN_BUILDER_2019 && target == DNN_TARGET_MYRIAD)
applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD);
#endif
modules/dnn/test/test_darknet_importer.cpp
+15
View File
@@ -460,6 +460,9 @@ TEST_P(Test_Darknet_nets, YOLOv3)
{
applyTestTag(CV_TEST_TAG_LONG, (target == DNN_TARGET_CPU ? CV_TEST_TAG_MEMORY_1GB : CV_TEST_TAG_MEMORY_2GB));
if (backend == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH && target == DNN_TARGET_MYRIAD)
applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD, CV_TEST_TAG_DNN_SKIP_IE_NGRAPH);
// batchId, classId, confidence, left, top, right, bottom
Mat ref = (Mat_<float>(9, 7) << 0, 7, 0.952983f, 0.614622f, 0.150257f, 0.901369f, 0.289251f, // a truck
0, 1, 0.987908f, 0.150913f, 0.221933f, 0.742255f, 0.74626f, // a bicycle
@@ -554,6 +557,11 @@ TEST_P(Test_Darknet_layers, reorg)
testDarknetLayer("reorg");
}
TEST_P(Test_Darknet_layers, maxpool)
{
testDarknetLayer("maxpool");
}
TEST_P(Test_Darknet_layers, convolutional)
{
if (target == DNN_TARGET_MYRIAD)
@@ -563,6 +571,13 @@ TEST_P(Test_Darknet_layers, convolutional)
testDarknetLayer("convolutional", true);
}
TEST_P(Test_Darknet_layers, connected)
{
if (backend == DNN_BACKEND_OPENCV && target == DNN_TARGET_OPENCL_FP16)
applyTestTag(CV_TEST_TAG_DNN_SKIP_OPENCL_FP16);
testDarknetLayer("connected", true);
}
INSTANTIATE_TEST_CASE_P(/**/, Test_Darknet_layers, dnnBackendsAndTargets());
}} // namespace
modules/dnn/test/test_misc.cpp
+3
View File
@@ -503,6 +503,9 @@ TEST_P(Async, create_layer_pipeline_set_and_forward_all)
if (backendId != DNN_BACKEND_INFERENCE_ENGINE_NN_BUILDER_2019 && backendId != DNN_BACKEND_INFERENCE_ENGINE_NGRAPH)
throw SkipTestException("No support for async forward");
if (backendId == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH)
applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_NGRAPH);
if (backendId == DNN_BACKEND_INFERENCE_ENGINE_NN_BUILDER_2019)
setInferenceEngineBackendType(CV_DNN_BACKEND_INFERENCE_ENGINE_NN_BUILDER_API);
else if (backendId == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH)
modules/dnn/test/test_tf_importer.cpp
+49 -2
View File
@@ -196,20 +196,58 @@ TEST_P(Test_TensorFlow_layers, concat_axis_1)
runTensorFlowNet("concat_axis_1");
}
TEST_P(Test_TensorFlow_layers, batch_norm)
TEST_P(Test_TensorFlow_layers, batch_norm_1)
{
runTensorFlowNet("batch_norm");
}
TEST_P(Test_TensorFlow_layers, batch_norm_2)
{
runTensorFlowNet("batch_norm", false, 0.0, 0.0, true);
}
TEST_P(Test_TensorFlow_layers, batch_norm_3)
{
runTensorFlowNet("fused_batch_norm");
}
TEST_P(Test_TensorFlow_layers, batch_norm_4)
{
runTensorFlowNet("fused_batch_norm", false, 0.0, 0.0, true);
}
TEST_P(Test_TensorFlow_layers, batch_norm_5)
{
runTensorFlowNet("batch_norm_text", true);
}
TEST_P(Test_TensorFlow_layers, batch_norm_6)
{
runTensorFlowNet("batch_norm_text", true, 0.0, 0.0, true);
}
TEST_P(Test_TensorFlow_layers, batch_norm_7)
{
runTensorFlowNet("unfused_batch_norm");
}
TEST_P(Test_TensorFlow_layers, batch_norm_8)
{
runTensorFlowNet("fused_batch_norm_no_gamma");
}
TEST_P(Test_TensorFlow_layers, batch_norm_9)
{
runTensorFlowNet("unfused_batch_norm_no_gamma");
}
TEST_P(Test_TensorFlow_layers, batch_norm_10)
{
runTensorFlowNet("mvn_batch_norm");
}
TEST_P(Test_TensorFlow_layers, batch_norm_11)
{
if (backend == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH && target == DNN_TARGET_MYRIAD)
applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD, CV_TEST_TAG_DNN_SKIP_IE_NGRAPH);
runTensorFlowNet("mvn_batch_norm_1x1");
}
TEST_P(Test_TensorFlow_layers, batch_norm_12)
{
runTensorFlowNet("switch_identity");
}
TEST_P(Test_TensorFlow_layers, batch_norm_13)
{
runTensorFlowNet("keras_batch_norm_training");
}
@@ -431,6 +469,8 @@ TEST_P(Test_TensorFlow_nets, MobileNet_SSD)
CV_TEST_TAG_DNN_SKIP_IE_NGRAPH,
CV_TEST_TAG_DNN_SKIP_IE_VERSION);
#endif
if (backend == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH)
applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD, CV_TEST_TAG_DNN_SKIP_IE_NGRAPH, CV_TEST_TAG_DNN_SKIP_IE_VERSION);
}
#endif
@@ -703,10 +743,15 @@ TEST_P(Test_TensorFlow_nets, EAST_text_detection)
#if defined(INF_ENGINE_RELEASE)
if (backend == DNN_BACKEND_INFERENCE_ENGINE_NN_BUILDER_2019 && target == DNN_TARGET_MYRIAD)
applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD, CV_TEST_TAG_DNN_SKIP_IE_NN_BUILDER);
if (backend == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH && target == DNN_TARGET_MYRIAD)
applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD, CV_TEST_TAG_DNN_SKIP_IE_NGRAPH);
if (backend == DNN_BACKEND_INFERENCE_ENGINE_NN_BUILDER_2019 && target == DNN_TARGET_OPENCL_FP16 &&
INF_ENGINE_VER_MAJOR_EQ(2019020000))
(INF_ENGINE_VER_MAJOR_EQ(2019020000) || INF_ENGINE_VER_MAJOR_GE(2020010000))
)
applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_OPENCL_FP16, CV_TEST_TAG_DNN_SKIP_IE_NN_BUILDER, CV_TEST_TAG_DNN_SKIP_IE_VERSION);
if (backend == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH && target == DNN_TARGET_OPENCL_FP16)
applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_OPENCL_FP16, CV_TEST_TAG_DNN_SKIP_IE_NGRAPH, CV_TEST_TAG_DNN_SKIP_IE_VERSION);
#endif
checkBackend();
@@ -843,6 +888,8 @@ TEST_P(Test_TensorFlow_layers, slice)
(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,
CV_TEST_TAG_DNN_SKIP_IE_NN_BUILDER);
double l1 = target == DNN_TARGET_MYRIAD ? 4.9e-3 : default_l1;
runTensorFlowNet("crop2d", false, l1);
runTensorFlowNet("slice_4d");
runTensorFlowNet("strided_slice");
}
modules/dnn/test/test_torch_importer.cpp
+13 -6
View File
@@ -229,9 +229,14 @@ TEST_P(Test_Torch_layers, net_logsoftmax)
runTorchNet("net_logsoftmax_spatial");
}
TEST_P(Test_Torch_layers, net_lp_pooling)
TEST_P(Test_Torch_layers, net_lp_pooling_square)
{
runTorchNet("net_lp_pooling_square", "", false, true);
}
TEST_P(Test_Torch_layers, net_lp_pooling_power)
{
if (backend == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH && target == DNN_TARGET_MYRIAD)
applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD, CV_TEST_TAG_DNN_SKIP_IE_NGRAPH);
runTorchNet("net_lp_pooling_power", "", false, true);
}
@@ -393,6 +398,10 @@ TEST_P(Test_Torch_nets, ENet_accuracy)
throw SkipTestException("");
if (backend == DNN_BACKEND_CUDA && target == DNN_TARGET_CUDA_FP16)
applyTestTag(CV_TEST_TAG_DNN_SKIP_CUDA_FP16);
#if defined(INF_ENGINE_RELEASE) && INF_ENGINE_VER_MAJOR_EQ(2020010000)
if (backend == DNN_BACKEND_INFERENCE_ENGINE_NN_BUILDER_2019)
applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_NN_BUILDER, CV_TEST_TAG_DNN_SKIP_IE_VERSION);
#else
if (backend == DNN_BACKEND_INFERENCE_ENGINE_NN_BUILDER_2019 && target != DNN_TARGET_CPU)
{
if (target == DNN_TARGET_OPENCL_FP16) applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_OPENCL_FP16, CV_TEST_TAG_DNN_SKIP_IE_NN_BUILDER);
@@ -400,12 +409,10 @@ TEST_P(Test_Torch_nets, ENet_accuracy)
if (target == DNN_TARGET_MYRIAD) applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD, CV_TEST_TAG_DNN_SKIP_IE_NN_BUILDER);
throw SkipTestException("");
}
if (backend == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH && target != DNN_TARGET_CPU)
#endif
if (backend == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH)
{
if (target == DNN_TARGET_OPENCL_FP16) applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_OPENCL_FP16, CV_TEST_TAG_DNN_SKIP_IE_NGRAPH);
if (target == DNN_TARGET_OPENCL) applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_OPENCL, CV_TEST_TAG_DNN_SKIP_IE_NGRAPH);
if (target == DNN_TARGET_MYRIAD) applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD, CV_TEST_TAG_DNN_SKIP_IE_NGRAPH);
throw SkipTestException("");
applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_NGRAPH);
}
Net net;