Aron Virginas-Tar | d089b74 | 2019-01-29 11:09:51 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | #pragma once |
| 6 | |
| 7 | #include "ObjectDetectionCommon.hpp" |
| 8 | |
| 9 | #include <memory> |
| 10 | #include <string> |
| 11 | #include <vector> |
| 12 | |
| 13 | #include <armnn/TypesUtils.hpp> |
Narumol Prangnawarat | c8bab1b | 2019-02-15 17:34:51 +0000 | [diff] [blame^] | 14 | #include <backendsCommon/test/QuantizeHelper.hpp> |
Aron Virginas-Tar | d089b74 | 2019-01-29 11:09:51 +0000 | [diff] [blame] | 15 | |
| 16 | #include <boost/log/trivial.hpp> |
| 17 | #include <boost/numeric/conversion/cast.hpp> |
| 18 | |
| 19 | #include <array> |
| 20 | #include <string> |
| 21 | |
| 22 | #include "InferenceTestImage.hpp" |
| 23 | |
| 24 | namespace |
| 25 | { |
| 26 | |
| 27 | struct MobileNetSsdTestCaseData |
| 28 | { |
| 29 | MobileNetSsdTestCaseData( |
Narumol Prangnawarat | c8bab1b | 2019-02-15 17:34:51 +0000 | [diff] [blame^] | 30 | std::vector<uint8_t> inputData, |
Aron Virginas-Tar | d089b74 | 2019-01-29 11:09:51 +0000 | [diff] [blame] | 31 | std::vector<DetectedObject> expectedOutput) |
| 32 | : m_InputData(std::move(inputData)) |
| 33 | , m_ExpectedOutput(std::move(expectedOutput)) |
| 34 | {} |
| 35 | |
Narumol Prangnawarat | c8bab1b | 2019-02-15 17:34:51 +0000 | [diff] [blame^] | 36 | std::vector<uint8_t> m_InputData; |
Aron Virginas-Tar | d089b74 | 2019-01-29 11:09:51 +0000 | [diff] [blame] | 37 | std::vector<DetectedObject> m_ExpectedOutput; |
| 38 | }; |
| 39 | |
| 40 | class MobileNetSsdDatabase |
| 41 | { |
| 42 | public: |
Narumol Prangnawarat | c8bab1b | 2019-02-15 17:34:51 +0000 | [diff] [blame^] | 43 | explicit MobileNetSsdDatabase(const std::string& imageDir, float scale, int offset); |
Aron Virginas-Tar | d089b74 | 2019-01-29 11:09:51 +0000 | [diff] [blame] | 44 | |
| 45 | std::unique_ptr<MobileNetSsdTestCaseData> GetTestCaseData(unsigned int testCaseId); |
| 46 | |
| 47 | private: |
| 48 | std::string m_ImageDir; |
Narumol Prangnawarat | c8bab1b | 2019-02-15 17:34:51 +0000 | [diff] [blame^] | 49 | float m_Scale; |
| 50 | int m_Offset; |
Aron Virginas-Tar | d089b74 | 2019-01-29 11:09:51 +0000 | [diff] [blame] | 51 | }; |
| 52 | |
| 53 | constexpr unsigned int k_MobileNetSsdImageWidth = 300u; |
| 54 | constexpr unsigned int k_MobileNetSsdImageHeight = k_MobileNetSsdImageWidth; |
| 55 | |
| 56 | // Test cases |
| 57 | const std::array<ObjectDetectionInput, 1> g_PerTestCaseInput = |
| 58 | { |
| 59 | ObjectDetectionInput |
| 60 | { |
| 61 | "Cat.jpg", |
Narumol Prangnawarat | c8bab1b | 2019-02-15 17:34:51 +0000 | [diff] [blame^] | 62 | DetectedObject(16, BoundingBox(0.208961248f, 0.0852333307f, 0.92757535f, 0.940263629f), 0.79296875f) |
Aron Virginas-Tar | d089b74 | 2019-01-29 11:09:51 +0000 | [diff] [blame] | 63 | } |
| 64 | }; |
| 65 | |
Narumol Prangnawarat | c8bab1b | 2019-02-15 17:34:51 +0000 | [diff] [blame^] | 66 | MobileNetSsdDatabase::MobileNetSsdDatabase(const std::string& imageDir, float scale, int offset) |
Aron Virginas-Tar | d089b74 | 2019-01-29 11:09:51 +0000 | [diff] [blame] | 67 | : m_ImageDir(imageDir) |
Narumol Prangnawarat | c8bab1b | 2019-02-15 17:34:51 +0000 | [diff] [blame^] | 68 | , m_Scale(scale) |
| 69 | , m_Offset(offset) |
Aron Virginas-Tar | d089b74 | 2019-01-29 11:09:51 +0000 | [diff] [blame] | 70 | {} |
| 71 | |
| 72 | std::unique_ptr<MobileNetSsdTestCaseData> MobileNetSsdDatabase::GetTestCaseData(unsigned int testCaseId) |
| 73 | { |
| 74 | const unsigned int safeTestCaseId = |
| 75 | testCaseId % boost::numeric_cast<unsigned int>(g_PerTestCaseInput.size()); |
| 76 | const ObjectDetectionInput& testCaseInput = g_PerTestCaseInput[safeTestCaseId]; |
| 77 | |
| 78 | // Load test case input |
| 79 | const std::string imagePath = m_ImageDir + testCaseInput.first; |
Narumol Prangnawarat | c8bab1b | 2019-02-15 17:34:51 +0000 | [diff] [blame^] | 80 | std::vector<uint8_t> imageData; |
Aron Virginas-Tar | d089b74 | 2019-01-29 11:09:51 +0000 | [diff] [blame] | 81 | try |
| 82 | { |
| 83 | InferenceTestImage image(imagePath.c_str()); |
| 84 | |
| 85 | // Resize image (if needed) |
| 86 | const unsigned int width = image.GetWidth(); |
| 87 | const unsigned int height = image.GetHeight(); |
| 88 | if (width != k_MobileNetSsdImageWidth || height != k_MobileNetSsdImageHeight) |
| 89 | { |
| 90 | image.Resize(k_MobileNetSsdImageWidth, k_MobileNetSsdImageHeight, CHECK_LOCATION()); |
| 91 | } |
| 92 | |
| 93 | // Get image data as a vector of floats |
Narumol Prangnawarat | c8bab1b | 2019-02-15 17:34:51 +0000 | [diff] [blame^] | 94 | std::vector<float> floatImageData = GetImageDataAsNormalizedFloats(ImageChannelLayout::Rgb, image); |
| 95 | imageData = QuantizedVector<uint8_t>(m_Scale, m_Offset, floatImageData); |
Aron Virginas-Tar | d089b74 | 2019-01-29 11:09:51 +0000 | [diff] [blame] | 96 | } |
| 97 | catch (const InferenceTestImageException& e) |
| 98 | { |
| 99 | BOOST_LOG_TRIVIAL(fatal) << "Failed to load image for test case " << testCaseId << ". Error: " << e.what(); |
| 100 | return nullptr; |
| 101 | } |
| 102 | |
| 103 | // Prepare test case expected output |
| 104 | std::vector<DetectedObject> expectedOutput; |
| 105 | expectedOutput.reserve(1); |
| 106 | expectedOutput.push_back(testCaseInput.second); |
| 107 | |
| 108 | return std::make_unique<MobileNetSsdTestCaseData>(std::move(imageData), std::move(expectedOutput)); |
| 109 | } |
| 110 | |
| 111 | } // anonymous namespace |