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211 lines
8.0 KiB
211 lines
8.0 KiB
// |
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// Copyright © 2017 Arm Ltd. All rights reserved. |
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// SPDX-License-Identifier: MIT |
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// |
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#pragma once |
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#include "InferenceTest.hpp" |
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#include "MobileNetSsdDatabase.hpp" |
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#include <armnn/utility/Assert.hpp> |
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#include <armnn/utility/IgnoreUnused.hpp> |
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#include <armnn/utility/NumericCast.hpp> |
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#include <armnnUtils/FloatingPointComparison.hpp> |
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#include <vector> |
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namespace |
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{ |
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template<typename Model> |
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class MobileNetSsdTestCase : public InferenceModelTestCase<Model> |
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{ |
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public: |
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MobileNetSsdTestCase(Model& model, |
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unsigned int testCaseId, |
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const MobileNetSsdTestCaseData& testCaseData) |
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: InferenceModelTestCase<Model>(model, |
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testCaseId, |
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{ std::move(testCaseData.m_InputData) }, |
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{ k_OutputSize1, k_OutputSize2, k_OutputSize3, k_OutputSize4 }) |
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, m_DetectedObjects(testCaseData.m_ExpectedDetectedObject) |
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{} |
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TestCaseResult ProcessResult(const InferenceTestOptions& options) override |
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{ |
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armnn::IgnoreUnused(options); |
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// bounding boxes |
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const std::vector<float>& output1 = mapbox::util::get<std::vector<float>>(this->GetOutputs()[0]); |
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ARMNN_ASSERT(output1.size() == k_OutputSize1); |
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// classes |
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const std::vector<float>& output2 = mapbox::util::get<std::vector<float>>(this->GetOutputs()[1]); |
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ARMNN_ASSERT(output2.size() == k_OutputSize2); |
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// scores |
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const std::vector<float>& output3 = mapbox::util::get<std::vector<float>>(this->GetOutputs()[2]); |
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ARMNN_ASSERT(output3.size() == k_OutputSize3); |
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// valid detections |
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const std::vector<float>& output4 = mapbox::util::get<std::vector<float>>(this->GetOutputs()[3]); |
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ARMNN_ASSERT(output4.size() == k_OutputSize4); |
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const size_t numDetections = armnn::numeric_cast<size_t>(output4[0]); |
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// Check if number of valid detections matches expectations |
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const size_t expectedNumDetections = m_DetectedObjects.size(); |
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if (numDetections != expectedNumDetections) |
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{ |
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ARMNN_LOG(error) << "Number of detections is incorrect: Expected (" << |
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expectedNumDetections << ")" << " but got (" << numDetections << ")"; |
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return TestCaseResult::Failed; |
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} |
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// Extract detected objects from output data |
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std::vector<DetectedObject> detectedObjects; |
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const float* outputData = output1.data(); |
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for (unsigned int i = 0u; i < numDetections; i++) |
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{ |
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// NOTE: Order of coordinates in output data is yMin, xMin, yMax, xMax |
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float yMin = *outputData++; |
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float xMin = *outputData++; |
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float yMax = *outputData++; |
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float xMax = *outputData++; |
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DetectedObject detectedObject( |
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output2.at(i), |
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BoundingBox(xMin, yMin, xMax, yMax), |
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output3.at(i)); |
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detectedObjects.push_back(detectedObject); |
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} |
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std::sort(detectedObjects.begin(), detectedObjects.end()); |
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std::sort(m_DetectedObjects.begin(), m_DetectedObjects.end()); |
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// Compare detected objects with expected results |
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std::vector<DetectedObject>::const_iterator it = detectedObjects.begin(); |
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for (unsigned int i = 0; i < numDetections; i++) |
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{ |
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if (it == detectedObjects.end()) |
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{ |
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ARMNN_LOG(error) << "No more detected objects found! Index out of bounds: " << i; |
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return TestCaseResult::Abort; |
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} |
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const DetectedObject& detectedObject = *it; |
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const DetectedObject& expectedObject = m_DetectedObjects[i]; |
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if (detectedObject.m_Class != expectedObject.m_Class) |
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{ |
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ARMNN_LOG(error) << "Prediction for test case " << this->GetTestCaseId() << |
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" is incorrect: Expected (" << expectedObject.m_Class << ")" << |
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" but predicted (" << detectedObject.m_Class << ")"; |
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return TestCaseResult::Failed; |
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} |
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if(!armnnUtils::within_percentage_tolerance(detectedObject.m_Confidence, expectedObject.m_Confidence)) |
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{ |
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ARMNN_LOG(error) << "Confidence of prediction for test case " << this->GetTestCaseId() << |
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" is incorrect: Expected (" << expectedObject.m_Confidence << ") +- 1.0 pc" << |
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" but predicted (" << detectedObject.m_Confidence << ")"; |
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return TestCaseResult::Failed; |
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} |
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if (!armnnUtils::within_percentage_tolerance(detectedObject.m_BoundingBox.m_XMin, |
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expectedObject.m_BoundingBox.m_XMin) || |
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!armnnUtils::within_percentage_tolerance(detectedObject.m_BoundingBox.m_YMin, |
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expectedObject.m_BoundingBox.m_YMin) || |
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!armnnUtils::within_percentage_tolerance(detectedObject.m_BoundingBox.m_XMax, |
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expectedObject.m_BoundingBox.m_XMax) || |
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!armnnUtils::within_percentage_tolerance(detectedObject.m_BoundingBox.m_YMax, |
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expectedObject.m_BoundingBox.m_YMax)) |
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{ |
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ARMNN_LOG(error) << "Detected bounding box for test case " << this->GetTestCaseId() << |
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" is incorrect"; |
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return TestCaseResult::Failed; |
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} |
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++it; |
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} |
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return TestCaseResult::Ok; |
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} |
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private: |
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static constexpr unsigned int k_Shape = 10u; |
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static constexpr unsigned int k_OutputSize1 = k_Shape * 4u; |
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static constexpr unsigned int k_OutputSize2 = k_Shape; |
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static constexpr unsigned int k_OutputSize3 = k_Shape; |
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static constexpr unsigned int k_OutputSize4 = 1u; |
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std::vector<DetectedObject> m_DetectedObjects; |
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}; |
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template <typename Model> |
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class MobileNetSsdTestCaseProvider : public IInferenceTestCaseProvider |
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{ |
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public: |
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template <typename TConstructModelCallable> |
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explicit MobileNetSsdTestCaseProvider(TConstructModelCallable constructModel) |
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: m_ConstructModel(constructModel) |
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{} |
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virtual void AddCommandLineOptions(cxxopts::Options& options, std::vector<std::string>& required) override |
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{ |
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options |
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.allow_unrecognised_options() |
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.add_options() |
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("d,data-dir", "Path to directory containing test data", cxxopts::value<std::string>(m_DataDir)); |
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required.emplace_back("data-dir"); |
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Model::AddCommandLineOptions(options, m_ModelCommandLineOptions, required); |
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} |
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virtual bool ProcessCommandLineOptions(const InferenceTestOptions& commonOptions) override |
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{ |
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if (!ValidateDirectory(m_DataDir)) |
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{ |
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return false; |
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} |
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m_Model = m_ConstructModel(commonOptions, m_ModelCommandLineOptions); |
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if (!m_Model) |
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{ |
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return false; |
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} |
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std::pair<float, int32_t> qParams = m_Model->GetInputQuantizationParams(); |
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m_Database = std::make_unique<MobileNetSsdDatabase>(m_DataDir.c_str(), qParams.first, qParams.second); |
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if (!m_Database) |
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{ |
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return false; |
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} |
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return true; |
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} |
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std::unique_ptr<IInferenceTestCase> GetTestCase(unsigned int testCaseId) override |
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{ |
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std::unique_ptr<MobileNetSsdTestCaseData> testCaseData = m_Database->GetTestCaseData(testCaseId); |
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if (!testCaseData) |
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{ |
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return nullptr; |
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} |
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return std::make_unique<MobileNetSsdTestCase<Model>>(*m_Model, testCaseId, *testCaseData); |
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} |
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private: |
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typename Model::CommandLineOptions m_ModelCommandLineOptions; |
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std::function<std::unique_ptr<Model>(const InferenceTestOptions &, |
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typename Model::CommandLineOptions)> m_ConstructModel; |
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std::unique_ptr<Model> m_Model; |
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std::string m_DataDir; |
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std::unique_ptr<MobileNetSsdDatabase> m_Database; |
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}; |
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} // anonymous namespace
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