IVGCVSW-2686 Add Serializer and Deserializer for DetectionPostProcess

Change-Id: Ife48db5fdb005ebca0a6f21862b0ce971ccf58b7
Signed-off-by: Nattapat Chaimanowong <nattapat.chaimanowong@arm.com>

1 files changed, 84 insertions, 0 deletions

diff --git a/src/armnnSerializer/test/SerializerTests.cpp b/src/armnnSerializer/test/SerializerTests.cpp
index 41f5d14ce3..d0586c988c 100644
--- a/src/armnnSerializer/test/SerializerTests.cpp
+++ b/src/armnnSerializer/test/SerializerTests.cpp
@@ -1595,4 +1595,88 @@ BOOST_AUTO_TEST_CASE(SerializeDeserializeSplitter)
                                                    {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()