IVGCVSW-2437 Inference test for TensorFlow Lite MobileNet SSD

Change-Id: If7ee1efa3ee79d9eca41c5a6219b3fc42e740efe

1 files changed, 202 insertions, 0 deletions

diff --git a/tests/MobileNetSsdInferenceTest.hpp b/tests/MobileNetSsdInferenceTest.hpp
new file mode 100644
index 0000000000..cf00966e4b
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+++ b/tests/MobileNetSsdInferenceTest.hpp
@@ -0,0 +1,202 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+#pragma once
+
+#include "InferenceTest.hpp"
+#include "MobileNetSsdDatabase.hpp"
+
+#include <boost/assert.hpp>
+#include <boost/log/trivial.hpp>
+#include <boost/numeric/conversion/cast.hpp>
+#include <boost/test/tools/floating_point_comparison.hpp>
+
+#include <vector>
+
+namespace
+{
+
+template<typename Model>
+class MobileNetSsdTestCase : public InferenceModelTestCase<Model>
+{
+public:
+    MobileNetSsdTestCase(Model& model,
+                         unsigned int testCaseId,
+                         const MobileNetSsdTestCaseData& testCaseData)
+        : InferenceModelTestCase<Model>(model,
+                                        testCaseId,
+                                        { std::move(testCaseData.m_InputData) },
+                                        { k_OutputSize1, k_OutputSize2, k_OutputSize3, k_OutputSize4 })
+        , m_FloatComparer(boost::math::fpc::percent_tolerance(1.0f))
+        , m_DetectedObjects(testCaseData.m_ExpectedOutput)
+    {}
+
+    TestCaseResult ProcessResult(const InferenceTestOptions& options) override
+    {
+        const std::vector<float>& output1 = this->GetOutputs()[0]; // bounding boxes
+        BOOST_ASSERT(output1.size() == k_OutputSize1);
+
+        const std::vector<float>& output2 = this->GetOutputs()[1]; // classes
+        BOOST_ASSERT(output2.size() == k_OutputSize2);
+
+        const std::vector<float>& output3 = this->GetOutputs()[2]; // scores
+        BOOST_ASSERT(output3.size() == k_OutputSize3);
+
+        const std::vector<float>& output4 = this->GetOutputs()[3]; // number of valid detections
+        BOOST_ASSERT(output4.size() == k_OutputSize4);
+
+        // Extract detected objects from output data
+        std::vector<DetectedObject> detectedObjects;
+        const float* outputData = output1.data();
+        for (unsigned int i = 0u; i < k_NumDetections; i++)
+        {
+            // NOTE: Order of coordinates in output data is yMin, xMin, yMax, xMax
+            float yMin = *outputData++;
+            float xMin = *outputData++;
+            float yMax = *outputData++;
+            float xMax = *outputData++;
+
+            DetectedObject detectedObject(
+                static_cast<unsigned int>(output2.at(i)),
+                BoundingBox(xMin, yMin, xMax, yMax),
+                output3.at(i));
+
+            detectedObjects.push_back(detectedObject);
+        }
+
+        // Sort detected objects by confidence
+        std::sort(detectedObjects.begin(), detectedObjects.end(),
+            [](const DetectedObject& a, const DetectedObject& b)
+            {
+                return a.m_Confidence > b.m_Confidence ||
+                    (a.m_Confidence == b.m_Confidence && a.m_Class > b.m_Class);
+            });
+
+        // Check if number of valid detections matches expectations
+        const size_t numValidDetections = boost::numeric_cast<size_t>(output4[0]);
+        if (numValidDetections != m_DetectedObjects.size())
+        {
+            BOOST_LOG_TRIVIAL(error) << "Number of valid detections is incorrect: Expected (" <<
+                m_DetectedObjects.size() << ")" << " but got (" << numValidDetections << ")";
+            return TestCaseResult::Failed;
+        }
+
+        // Compare detected objects with expected results
+        std::vector<DetectedObject>::const_iterator it = detectedObjects.begin();
+        for (const DetectedObject& expectedDetection : m_DetectedObjects)
+        {
+            if (it == detectedObjects.end())
+            {
+                BOOST_LOG_TRIVIAL(info) << "No more detected objects to compare";
+                return TestCaseResult::Abort;
+            }
+
+            const DetectedObject& detectedObject = *it;
+            if (detectedObject.m_Class != expectedDetection.m_Class)
+            {
+                BOOST_LOG_TRIVIAL(error) << "Prediction for test case " << this->GetTestCaseId() <<
+                    " is incorrect: Expected (" << expectedDetection.m_Class << ")" <<
+                    " but predicted (" << detectedObject.m_Class << ")";
+                return TestCaseResult::Failed;
+            }
+
+            if(!m_FloatComparer(detectedObject.m_Confidence, expectedDetection.m_Confidence))
+            {
+                BOOST_LOG_TRIVIAL(error) << "Confidence of prediction for test case " << this->GetTestCaseId() <<
+                    " is incorrect: Expected (" << expectedDetection.m_Confidence << ")  +- 1.0 pc" <<
+                    " but predicted (" << detectedObject.m_Confidence << ")";
+                return TestCaseResult::Failed;
+            }
+
+            if (!m_FloatComparer(detectedObject.m_BoundingBox.m_XMin, expectedDetection.m_BoundingBox.m_XMin) ||
+                !m_FloatComparer(detectedObject.m_BoundingBox.m_YMin, expectedDetection.m_BoundingBox.m_YMin) ||
+                !m_FloatComparer(detectedObject.m_BoundingBox.m_XMax, expectedDetection.m_BoundingBox.m_XMax) ||
+                !m_FloatComparer(detectedObject.m_BoundingBox.m_YMax, expectedDetection.m_BoundingBox.m_YMax))
+            {
+                BOOST_LOG_TRIVIAL(error) << "Detected bounding box for test case " << this->GetTestCaseId() <<
+                    " is incorrect";
+                return TestCaseResult::Failed;
+            }
+
+            ++it;
+        }
+
+        return TestCaseResult::Ok;
+    }
+
+private:
+    static constexpr unsigned int k_NumDetections = 10u;
+
+    static constexpr unsigned int k_OutputSize1 = k_NumDetections * 4u;
+    static constexpr unsigned int k_OutputSize2 = k_NumDetections;
+    static constexpr unsigned int k_OutputSize3 = k_NumDetections;
+    static constexpr unsigned int k_OutputSize4 = 1u;
+
+    boost::math::fpc::close_at_tolerance<float> m_FloatComparer;
+    std::vector<DetectedObject>                 m_DetectedObjects;
+};
+
+template <typename Model>
+class MobileNetSsdTestCaseProvider : public IInferenceTestCaseProvider
+{
+public:
+    template <typename TConstructModelCallable>
+    explicit MobileNetSsdTestCaseProvider(TConstructModelCallable constructModel)
+        : m_ConstructModel(constructModel)
+    {}
+
+    virtual void AddCommandLineOptions(boost::program_options::options_description& options) override
+    {
+        namespace po = boost::program_options;
+
+        options.add_options()
+            ("data-dir,d", po::value<std::string>(&m_DataDir)->required(),
+                "Path to directory containing test data");
+
+        Model::AddCommandLineOptions(options, m_ModelCommandLineOptions);
+    }
+
+    virtual bool ProcessCommandLineOptions() override
+    {
+        if (!ValidateDirectory(m_DataDir))
+        {
+            return false;
+        }
+
+        m_Model = m_ConstructModel(m_ModelCommandLineOptions);
+        if (!m_Model)
+        {
+            return false;
+        }
+
+        m_Database = std::make_unique<MobileNetSsdDatabase>(m_DataDir.c_str());
+        if (!m_Database)
+        {
+            return false;
+        }
+
+        return true;
+    }
+
+    std::unique_ptr<IInferenceTestCase> GetTestCase(unsigned int testCaseId) override
+    {
+        std::unique_ptr<MobileNetSsdTestCaseData> testCaseData = m_Database->GetTestCaseData(testCaseId);
+        if (!testCaseData)
+        {
+            return nullptr;
+        }
+
+        return std::make_unique<MobileNetSsdTestCase<Model>>(*m_Model, testCaseId, *testCaseData);
+    }
+
+private:
+    typename Model::CommandLineOptions m_ModelCommandLineOptions;
+    std::function<std::unique_ptr<Model>(typename Model::CommandLineOptions)> m_ConstructModel;
+    std::unique_ptr<Model> m_Model;
+
+    std::string m_DataDir;
+    std::unique_ptr<MobileNetSsdDatabase> m_Database;
+};
+
+} // anonymous namespace
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