IVGCVSW-2437 Inference test for TensorFlow Lite MobileNet SSD
Change-Id: If7ee1efa3ee79d9eca41c5a6219b3fc42e740efe
diff --git a/tests/MobileNetSsdInferenceTest.hpp b/tests/MobileNetSsdInferenceTest.hpp
new file mode 100644
index 0000000..cf00966
--- /dev/null
+++ 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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