| // |
| // 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 = boost::get<std::vector<float>>(this->GetOutputs()[0]); // bounding boxes |
| BOOST_ASSERT(output1.size() == k_OutputSize1); |
| |
| const std::vector<float>& output2 = boost::get<std::vector<float>>(this->GetOutputs()[1]); // classes |
| BOOST_ASSERT(output2.size() == k_OutputSize2); |
| |
| const std::vector<float>& output3 = boost::get<std::vector<float>>(this->GetOutputs()[2]); // scores |
| BOOST_ASSERT(output3.size() == k_OutputSize3); |
| |
| const std::vector<float>& output4 = boost::get<std::vector<float>>(this->GetOutputs()[3]); // 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 |