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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
#include "InferenceTestImage.hpp"
#include "ObjectDetectionCommon.hpp"
#include <armnnUtils/QuantizeHelper.hpp>
#include <armnn/TypesUtils.hpp>
#include <armnn/utility/NumericCast.hpp>
#include <array>
#include <memory>
#include <string>
#include <vector>
namespace
{
struct MobileNetSsdTestCaseData
{
MobileNetSsdTestCaseData(
const std::vector<uint8_t>& inputData,
const std::vector<DetectedObject>& expectedDetectedObject,
const std::vector<std::vector<float>>& expectedOutput)
: m_InputData(inputData)
, m_ExpectedDetectedObject(expectedDetectedObject)
, m_ExpectedOutput(expectedOutput)
{}
std::vector<uint8_t> m_InputData;
std::vector<DetectedObject> m_ExpectedDetectedObject;
std::vector<std::vector<float>> m_ExpectedOutput;
};
class MobileNetSsdDatabase
{
public:
explicit MobileNetSsdDatabase(const std::string& imageDir, float scale, int offset);
std::unique_ptr<MobileNetSsdTestCaseData> GetTestCaseData(unsigned int testCaseId);
private:
std::string m_ImageDir;
float m_Scale;
int m_Offset;
};
constexpr unsigned int k_MobileNetSsdImageWidth = 300u;
constexpr unsigned int k_MobileNetSsdImageHeight = k_MobileNetSsdImageWidth;
// Test cases
const std::array<ObjectDetectionInput, 1> g_PerTestCaseInput =
{
ObjectDetectionInput
{
"Cat.jpg",
{
DetectedObject(16.0f, BoundingBox(0.216785252f, 0.079726994f, 0.927124202f, 0.939067304f), 0.79296875f)
}
}
};
MobileNetSsdDatabase::MobileNetSsdDatabase(const std::string& imageDir, float scale, int offset)
: m_ImageDir(imageDir)
, m_Scale(scale)
, m_Offset(offset)
{}
std::unique_ptr<MobileNetSsdTestCaseData> MobileNetSsdDatabase::GetTestCaseData(unsigned int testCaseId)
{
const unsigned int safeTestCaseId =
testCaseId % armnn::numeric_cast<unsigned int>(g_PerTestCaseInput.size());
const ObjectDetectionInput& testCaseInput = g_PerTestCaseInput[safeTestCaseId];
// Load test case input
const std::string imagePath = m_ImageDir + testCaseInput.first;
std::vector<uint8_t> imageData;
try
{
InferenceTestImage image(imagePath.c_str());
// Resize image (if needed)
const unsigned int width = image.GetWidth();
const unsigned int height = image.GetHeight();
if (width != k_MobileNetSsdImageWidth || height != k_MobileNetSsdImageHeight)
{
image.Resize(k_MobileNetSsdImageWidth, k_MobileNetSsdImageHeight, CHECK_LOCATION());
}
// Get image data as a vector of floats
std::vector<float> floatImageData = GetImageDataAsNormalizedFloats(ImageChannelLayout::Rgb, image);
imageData = armnnUtils::QuantizedVector<uint8_t>(floatImageData, m_Scale, m_Offset);
}
catch (const InferenceTestImageException& e)
{
ARMNN_LOG(fatal) << "Failed to load image for test case " << testCaseId << ". Error: " << e.what();
return nullptr;
}
std::vector<float> numDetections = { static_cast<float>(testCaseInput.second.size()) };
std::vector<float> detectionBoxes;
std::vector<float> detectionClasses;
std::vector<float> detectionScores;
for (DetectedObject expectedObject : testCaseInput.second)
{
detectionBoxes.push_back(expectedObject.m_BoundingBox.m_YMin);
detectionBoxes.push_back(expectedObject.m_BoundingBox.m_XMin);
detectionBoxes.push_back(expectedObject.m_BoundingBox.m_YMax);
detectionBoxes.push_back(expectedObject.m_BoundingBox.m_XMax);
detectionClasses.push_back(expectedObject.m_Class);
detectionScores.push_back(expectedObject.m_Confidence);
}
// Prepare test case expected output
std::vector<std::vector<float>> expectedOutputs;
expectedOutputs.reserve(4);
expectedOutputs.push_back(detectionBoxes);
expectedOutputs.push_back(detectionClasses);
expectedOutputs.push_back(detectionScores);
expectedOutputs.push_back(numDetections);
return std::make_unique<MobileNetSsdTestCaseData>(imageData, testCaseInput.second, expectedOutputs);
}
} // anonymous namespace
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