| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #pragma once |
| |
| #include "InferenceTestImage.hpp" |
| #include "ObjectDetectionCommon.hpp" |
| |
| #include <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 |