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