IVGCVSW-2686 Add Serializer and Deserializer for DetectionPostProcess
Change-Id: Ife48db5fdb005ebca0a6f21862b0ce971ccf58b7
Signed-off-by: Nattapat Chaimanowong <nattapat.chaimanowong@arm.com>
diff --git a/src/armnnSerializer/test/SerializerTests.cpp b/src/armnnSerializer/test/SerializerTests.cpp
index 41f5d14..d0586c9 100644
--- a/src/armnnSerializer/test/SerializerTests.cpp
+++ b/src/armnnSerializer/test/SerializerTests.cpp
@@ -1595,4 +1595,88 @@
{0, 1, 2});
}
+BOOST_AUTO_TEST_CASE(SerializeDeserializeDetectionPostProcess)
+{
+ class VerifyDetectionPostProcessName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy>
+ {
+ public:
+ void VisitDetectionPostProcessLayer(const armnn::IConnectableLayer* layer,
+ const armnn::DetectionPostProcessDescriptor& descriptor,
+ const armnn::ConstTensor& anchors,
+ const char* name) override
+ {
+ BOOST_TEST(name == "DetectionPostProcessLayer");
+ }
+ };
+
+ const armnn::TensorInfo inputInfos[] = {
+ armnn::TensorInfo({ 1, 6, 4 }, armnn::DataType::Float32),
+ armnn::TensorInfo({ 1, 6, 3}, armnn::DataType::Float32)
+ };
+
+ const armnn::TensorInfo outputInfos[] = {
+ armnn::TensorInfo({ 1, 3, 4 }, armnn::DataType::Float32),
+ armnn::TensorInfo({ 1, 3 }, armnn::DataType::Float32),
+ armnn::TensorInfo({ 1, 3 }, armnn::DataType::Float32),
+ armnn::TensorInfo({ 1 }, armnn::DataType::Float32)
+ };
+
+ armnn::DetectionPostProcessDescriptor desc;
+ desc.m_UseRegularNms = true;
+ desc.m_MaxDetections = 3;
+ desc.m_MaxClassesPerDetection = 1;
+ desc.m_DetectionsPerClass =1;
+ desc.m_NmsScoreThreshold = 0.0;
+ desc.m_NmsIouThreshold = 0.5;
+ desc.m_NumClasses = 2;
+ desc.m_ScaleY = 10.0;
+ desc.m_ScaleX = 10.0;
+ desc.m_ScaleH = 5.0;
+ desc.m_ScaleW = 5.0;
+
+ const armnn::TensorInfo anchorsInfo({ 6, 4 }, armnn::DataType::Float32);
+ const std::vector<float> anchorsData({
+ 0.5f, 0.5f, 1.0f, 1.0f,
+ 0.5f, 0.5f, 1.0f, 1.0f,
+ 0.5f, 0.5f, 1.0f, 1.0f,
+ 0.5f, 10.5f, 1.0f, 1.0f,
+ 0.5f, 10.5f, 1.0f, 1.0f,
+ 0.5f, 100.5f, 1.0f, 1.0f
+ });
+ armnn::ConstTensor anchors(anchorsInfo, anchorsData);
+
+ armnn::INetworkPtr network = armnn::INetwork::Create();
+
+ armnn::IConnectableLayer* const detectionLayer =
+ network->AddDetectionPostProcessLayer(desc, anchors, "DetectionPostProcessLayer");
+
+ for (unsigned int i = 0; i < 2; i++)
+ {
+ armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(static_cast<int>(i));
+ inputLayer->GetOutputSlot(0).Connect(detectionLayer->GetInputSlot(i));
+ inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfos[i]);
+ }
+
+ for (unsigned int i = 0; i < 4; i++)
+ {
+ armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(static_cast<int>(i));
+ detectionLayer->GetOutputSlot(i).Connect(outputLayer->GetInputSlot(0));
+ detectionLayer->GetOutputSlot(i).SetTensorInfo(outputInfos[i]);
+ }
+
+ armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network));
+ BOOST_CHECK(deserializedNetwork);
+
+ VerifyDetectionPostProcessName nameChecker;
+ deserializedNetwork->Accept(nameChecker);
+
+ CheckDeserializedNetworkAgainstOriginal<float>(
+ *network,
+ *deserializedNetwork,
+ {inputInfos[0].GetShape(), inputInfos[1].GetShape()},
+ {outputInfos[0].GetShape(), outputInfos[1].GetShape(), outputInfos[2].GetShape(), outputInfos[3].GetShape()},
+ {0, 1},
+ {0, 1, 2, 3});
+}
+
BOOST_AUTO_TEST_SUITE_END()