2 // Copyright © 2017 Arm Ltd. All rights reserved.
3 // SPDX-License-Identifier: MIT
7 #include "InferenceTest.hpp"
8 #include "MobileNetSsdDatabase.hpp"
10 #include <boost/assert.hpp>
11 #include <boost/log/trivial.hpp>
12 #include <boost/numeric/conversion/cast.hpp>
13 #include <boost/test/tools/floating_point_comparison.hpp>
20 template<typename Model>
21 class MobileNetSsdTestCase : public InferenceModelTestCase<Model>
24 MobileNetSsdTestCase(Model& model,
25 unsigned int testCaseId,
26 const MobileNetSsdTestCaseData& testCaseData)
27 : InferenceModelTestCase<Model>(model,
29 { std::move(testCaseData.m_InputData) },
30 { k_OutputSize1, k_OutputSize2, k_OutputSize3, k_OutputSize4 })
31 , m_FloatComparer(boost::math::fpc::percent_tolerance(1.0f))
32 , m_DetectedObjects(testCaseData.m_ExpectedDetectedObject)
35 TestCaseResult ProcessResult(const InferenceTestOptions& options) override
37 const std::vector<float>& output1 = boost::get<std::vector<float>>(this->GetOutputs()[0]); // bounding boxes
38 BOOST_ASSERT(output1.size() == k_OutputSize1);
40 const std::vector<float>& output2 = boost::get<std::vector<float>>(this->GetOutputs()[1]); // classes
41 BOOST_ASSERT(output2.size() == k_OutputSize2);
43 const std::vector<float>& output3 = boost::get<std::vector<float>>(this->GetOutputs()[2]); // scores
44 BOOST_ASSERT(output3.size() == k_OutputSize3);
46 const std::vector<float>& output4 = boost::get<std::vector<float>>(this->GetOutputs()[3]); // valid detections
47 BOOST_ASSERT(output4.size() == k_OutputSize4);
49 const size_t numDetections = boost::numeric_cast<size_t>(output4[0]);
51 // Check if number of valid detections matches expectations
52 const size_t expectedNumDetections = m_DetectedObjects.size();
53 if (numDetections != expectedNumDetections)
55 BOOST_LOG_TRIVIAL(error) << "Number of detections is incorrect: Expected (" <<
56 expectedNumDetections << ")" << " but got (" << numDetections << ")";
57 return TestCaseResult::Failed;
60 // Extract detected objects from output data
61 std::vector<DetectedObject> detectedObjects;
62 const float* outputData = output1.data();
63 for (unsigned int i = 0u; i < numDetections; i++)
65 // NOTE: Order of coordinates in output data is yMin, xMin, yMax, xMax
66 float yMin = *outputData++;
67 float xMin = *outputData++;
68 float yMax = *outputData++;
69 float xMax = *outputData++;
71 DetectedObject detectedObject(
73 BoundingBox(xMin, yMin, xMax, yMax),
76 detectedObjects.push_back(detectedObject);
79 std::sort(detectedObjects.begin(), detectedObjects.end());
80 std::sort(m_DetectedObjects.begin(), m_DetectedObjects.end());
82 // Compare detected objects with expected results
83 std::vector<DetectedObject>::const_iterator it = detectedObjects.begin();
84 for (unsigned int i = 0; i < numDetections; i++)
86 if (it == detectedObjects.end())
88 BOOST_LOG_TRIVIAL(error) << "No more detected objects found! Index out of bounds: " << i;
89 return TestCaseResult::Abort;
92 const DetectedObject& detectedObject = *it;
93 const DetectedObject& expectedObject = m_DetectedObjects[i];
95 if (detectedObject.m_Class != expectedObject.m_Class)
97 BOOST_LOG_TRIVIAL(error) << "Prediction for test case " << this->GetTestCaseId() <<
98 " is incorrect: Expected (" << expectedObject.m_Class << ")" <<
99 " but predicted (" << detectedObject.m_Class << ")";
100 return TestCaseResult::Failed;
103 if(!m_FloatComparer(detectedObject.m_Confidence, expectedObject.m_Confidence))
105 BOOST_LOG_TRIVIAL(error) << "Confidence of prediction for test case " << this->GetTestCaseId() <<
106 " is incorrect: Expected (" << expectedObject.m_Confidence << ") +- 1.0 pc" <<
107 " but predicted (" << detectedObject.m_Confidence << ")";
108 return TestCaseResult::Failed;
111 if (!m_FloatComparer(detectedObject.m_BoundingBox.m_XMin, expectedObject.m_BoundingBox.m_XMin) ||
112 !m_FloatComparer(detectedObject.m_BoundingBox.m_YMin, expectedObject.m_BoundingBox.m_YMin) ||
113 !m_FloatComparer(detectedObject.m_BoundingBox.m_XMax, expectedObject.m_BoundingBox.m_XMax) ||
114 !m_FloatComparer(detectedObject.m_BoundingBox.m_YMax, expectedObject.m_BoundingBox.m_YMax))
116 BOOST_LOG_TRIVIAL(error) << "Detected bounding box for test case " << this->GetTestCaseId() <<
118 return TestCaseResult::Failed;
124 return TestCaseResult::Ok;
128 static constexpr unsigned int k_Shape = 10u;
130 static constexpr unsigned int k_OutputSize1 = k_Shape * 4u;
131 static constexpr unsigned int k_OutputSize2 = k_Shape;
132 static constexpr unsigned int k_OutputSize3 = k_Shape;
133 static constexpr unsigned int k_OutputSize4 = 1u;
135 boost::math::fpc::close_at_tolerance<float> m_FloatComparer;
136 std::vector<DetectedObject> m_DetectedObjects;
139 template <typename Model>
140 class MobileNetSsdTestCaseProvider : public IInferenceTestCaseProvider
143 template <typename TConstructModelCallable>
144 explicit MobileNetSsdTestCaseProvider(TConstructModelCallable constructModel)
145 : m_ConstructModel(constructModel)
148 virtual void AddCommandLineOptions(boost::program_options::options_description& options) override
150 namespace po = boost::program_options;
152 options.add_options()
153 ("data-dir,d", po::value<std::string>(&m_DataDir)->required(),
154 "Path to directory containing test data");
156 Model::AddCommandLineOptions(options, m_ModelCommandLineOptions);
159 virtual bool ProcessCommandLineOptions(const InferenceTestOptions &commonOptions) override
161 if (!ValidateDirectory(m_DataDir))
166 m_Model = m_ConstructModel(commonOptions, m_ModelCommandLineOptions);
171 std::pair<float, int32_t> qParams = m_Model->GetInputQuantizationParams();
172 m_Database = std::make_unique<MobileNetSsdDatabase>(m_DataDir.c_str(), qParams.first, qParams.second);
181 std::unique_ptr<IInferenceTestCase> GetTestCase(unsigned int testCaseId) override
183 std::unique_ptr<MobileNetSsdTestCaseData> testCaseData = m_Database->GetTestCaseData(testCaseId);
189 return std::make_unique<MobileNetSsdTestCase<Model>>(*m_Model, testCaseId, *testCaseData);
193 typename Model::CommandLineOptions m_ModelCommandLineOptions;
194 std::function<std::unique_ptr<Model>(const InferenceTestOptions &,
195 typename Model::CommandLineOptions)> m_ConstructModel;
196 std::unique_ptr<Model> m_Model;
198 std::string m_DataDir;
199 std::unique_ptr<MobileNetSsdDatabase> m_Database;
202 } // anonymous namespace