Narumol Prangnawarat | bc67cef | 2019-01-31 15:31:54 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "reference/workloads/DetectionPostProcess.cpp" |
| 7 | |
| 8 | #include <armnn/Descriptors.hpp> |
| 9 | #include <armnn/Types.hpp> |
| 10 | |
| 11 | #include <boost/test/unit_test.hpp> |
| 12 | |
| 13 | BOOST_AUTO_TEST_SUITE(RefDetectionPostProcess) |
| 14 | |
| 15 | |
| 16 | BOOST_AUTO_TEST_CASE(TopKSortTest) |
| 17 | { |
| 18 | unsigned int k = 3; |
| 19 | unsigned int indices[8] = { 0, 1, 2, 3, 4, 5, 6, 7 }; |
| 20 | float values[8] = { 0, 7, 6, 5, 4, 3, 2, 500 }; |
| 21 | TopKSort(k, indices, values, 8); |
| 22 | BOOST_TEST(indices[0] == 7); |
| 23 | BOOST_TEST(indices[1] == 1); |
| 24 | BOOST_TEST(indices[2] == 2); |
| 25 | } |
| 26 | |
| 27 | BOOST_AUTO_TEST_CASE(FullTopKSortTest) |
| 28 | { |
| 29 | unsigned int k = 8; |
| 30 | unsigned int indices[8] = { 0, 1, 2, 3, 4, 5, 6, 7 }; |
| 31 | float values[8] = { 0, 7, 6, 5, 4, 3, 2, 500 }; |
| 32 | TopKSort(k, indices, values, 8); |
| 33 | BOOST_TEST(indices[0] == 7); |
| 34 | BOOST_TEST(indices[1] == 1); |
| 35 | BOOST_TEST(indices[2] == 2); |
| 36 | BOOST_TEST(indices[3] == 3); |
| 37 | BOOST_TEST(indices[4] == 4); |
| 38 | BOOST_TEST(indices[5] == 5); |
| 39 | BOOST_TEST(indices[6] == 6); |
| 40 | BOOST_TEST(indices[7] == 0); |
| 41 | } |
| 42 | |
| 43 | BOOST_AUTO_TEST_CASE(IouTest) |
| 44 | { |
| 45 | float boxI[4] = { 0.0f, 0.0f, 10.0f, 10.0f }; |
| 46 | float boxJ[4] = { 1.0f, 1.0f, 11.0f, 11.0f }; |
| 47 | float iou = IntersectionOverUnion(boxI, boxJ); |
| 48 | BOOST_TEST(iou == 0.68, boost::test_tools::tolerance(0.001)); |
| 49 | } |
| 50 | |
| 51 | BOOST_AUTO_TEST_CASE(NmsFunction) |
| 52 | { |
| 53 | std::vector<float> boxCorners({ |
| 54 | 0.0f, 0.0f, 1.0f, 1.0f, |
| 55 | 0.0f, 0.1f, 1.0f, 1.1f, |
| 56 | 0.0f, -0.1f, 1.0f, 0.9f, |
| 57 | 0.0f, 10.0f, 1.0f, 11.0f, |
| 58 | 0.0f, 10.1f, 1.0f, 11.1f, |
| 59 | 0.0f, 100.0f, 1.0f, 101.0f |
| 60 | }); |
| 61 | |
| 62 | std::vector<float> scores({ 0.9f, 0.75f, 0.6f, 0.93f, 0.5f, 0.3f }); |
| 63 | |
| 64 | std::vector<unsigned int> result = NonMaxSuppression(6, boxCorners, scores, 0.0, 3, 0.5); |
| 65 | BOOST_TEST(result.size() == 3); |
| 66 | BOOST_TEST(result[0] == 3); |
| 67 | BOOST_TEST(result[1] == 0); |
| 68 | BOOST_TEST(result[2] == 5); |
| 69 | } |
| 70 | |
| 71 | void DetectionPostProcessTestImpl(bool useRegularNms, const std::vector<float>& expectedDetectionBoxes, |
| 72 | const std::vector<float>& expectedDetectionClasses, |
| 73 | const std::vector<float>& expectedDetectionScores, |
| 74 | const std::vector<float>& expectedNumDetections) |
| 75 | { |
| 76 | armnn::TensorInfo boxEncodingsInfo({ 1, 6, 4 }, armnn::DataType::Float32); |
Narumol Prangnawarat | 6d302bf | 2019-02-04 11:46:26 +0000 | [diff] [blame] | 77 | armnn::TensorInfo scoresInfo({ 1, 6, 3 }, armnn::DataType::Float32); |
| 78 | armnn::TensorInfo anchorsInfo({ 6, 4 }, armnn::DataType::Float32); |
Narumol Prangnawarat | bc67cef | 2019-01-31 15:31:54 +0000 | [diff] [blame] | 79 | |
| 80 | armnn::TensorInfo detectionBoxesInfo({ 1, 3, 4 }, armnn::DataType::Float32); |
| 81 | armnn::TensorInfo detectionScoresInfo({ 1, 3 }, armnn::DataType::Float32); |
| 82 | armnn::TensorInfo detectionClassesInfo({ 1, 3 }, armnn::DataType::Float32); |
| 83 | armnn::TensorInfo numDetectionInfo({ 1 }, armnn::DataType::Float32); |
| 84 | |
| 85 | armnn::DetectionPostProcessDescriptor desc; |
| 86 | desc.m_UseRegularNms = useRegularNms; |
| 87 | desc.m_MaxDetections = 3; |
| 88 | desc.m_MaxClassesPerDetection = 1; |
| 89 | desc.m_DetectionsPerClass =1; |
| 90 | desc.m_NmsScoreThreshold = 0.0; |
| 91 | desc.m_NmsIouThreshold = 0.5; |
| 92 | desc.m_NumClasses = 2; |
| 93 | desc.m_ScaleY = 10.0; |
| 94 | desc.m_ScaleX = 10.0; |
| 95 | desc.m_ScaleH = 5.0; |
| 96 | desc.m_ScaleW = 5.0; |
| 97 | |
| 98 | std::vector<float> boxEncodings({ |
| 99 | 0.0f, 0.0f, 0.0f, 0.0f, |
| 100 | 0.0f, 1.0f, 0.0f, 0.0f, |
| 101 | 0.0f, -1.0f, 0.0f, 0.0f, |
| 102 | 0.0f, 0.0f, 0.0f, 0.0f, |
| 103 | 0.0f, 1.0f, 0.0f, 0.0f, |
| 104 | 0.0f, 0.0f, 0.0f, 0.0f |
| 105 | }); |
| 106 | std::vector<float> scores({ |
| 107 | 0.0f, 0.9f, 0.8f, |
| 108 | 0.0f, 0.75f, 0.72f, |
| 109 | 0.0f, 0.6f, 0.5f, |
| 110 | 0.0f, 0.93f, 0.95f, |
| 111 | 0.0f, 0.5f, 0.4f, |
| 112 | 0.0f, 0.3f, 0.2f |
| 113 | }); |
| 114 | std::vector<float> anchors({ |
| 115 | 0.5f, 0.5f, 1.0f, 1.0f, |
| 116 | 0.5f, 0.5f, 1.0f, 1.0f, |
| 117 | 0.5f, 0.5f, 1.0f, 1.0f, |
| 118 | 0.5f, 10.5f, 1.0f, 1.0f, |
| 119 | 0.5f, 10.5f, 1.0f, 1.0f, |
| 120 | 0.5f, 100.5f, 1.0f, 1.0f |
| 121 | }); |
| 122 | |
| 123 | std::vector<float> detectionBoxes(detectionBoxesInfo.GetNumElements()); |
| 124 | std::vector<float> detectionScores(detectionScoresInfo.GetNumElements()); |
| 125 | std::vector<float> detectionClasses(detectionClassesInfo.GetNumElements()); |
| 126 | std::vector<float> numDetections(1); |
| 127 | |
| 128 | armnn::DetectionPostProcess(boxEncodingsInfo, scoresInfo, anchorsInfo, |
| 129 | detectionBoxesInfo, detectionClassesInfo, |
| 130 | detectionScoresInfo, numDetectionInfo, desc, |
| 131 | boxEncodings.data(), scores.data(), anchors.data(), |
| 132 | detectionBoxes.data(), detectionClasses.data(), |
| 133 | detectionScores.data(), numDetections.data()); |
| 134 | |
| 135 | BOOST_TEST(detectionBoxes == expectedDetectionBoxes); |
| 136 | BOOST_TEST(detectionScores == expectedDetectionScores); |
| 137 | BOOST_TEST(detectionClasses == expectedDetectionClasses); |
| 138 | BOOST_TEST(numDetections == expectedNumDetections); |
| 139 | } |
| 140 | |
| 141 | BOOST_AUTO_TEST_CASE(RegularNmsDetectionPostProcess) |
| 142 | { |
| 143 | std::vector<float> expectedDetectionBoxes({ |
| 144 | 0.0f, 10.0f, 1.0f, 11.0f, |
| 145 | 0.0f, 10.0f, 1.0f, 11.0f, |
| 146 | 0.0f, 0.0f, 0.0f, 0.0f |
| 147 | }); |
| 148 | |
| 149 | std::vector<float> expectedDetectionScores({ 0.95f, 0.93f, 0.0f }); |
| 150 | std::vector<float> expectedDetectionClasses({ 1.0f, 0.0f, 0.0f }); |
| 151 | std::vector<float> expectedNumDetections({ 2.0f }); |
| 152 | |
| 153 | DetectionPostProcessTestImpl(true, expectedDetectionBoxes, expectedDetectionClasses, |
| 154 | expectedDetectionScores, expectedNumDetections); |
| 155 | } |
| 156 | |
| 157 | BOOST_AUTO_TEST_CASE(FastNmsDetectionPostProcess) |
| 158 | { |
| 159 | std::vector<float> expectedDetectionBoxes({ |
| 160 | 0.0f, 10.0f, 1.0f, 11.0f, |
| 161 | 0.0f, 0.0f, 1.0f, 1.0f, |
| 162 | 0.0f, 100.0f, 1.0f, 101.0f |
| 163 | }); |
| 164 | std::vector<float> expectedDetectionScores({ 0.95f, 0.9f, 0.3f }); |
| 165 | std::vector<float> expectedDetectionClasses({ 1.0f, 0.0f, 0.0f }); |
| 166 | std::vector<float> expectedNumDetections({ 3.0f }); |
| 167 | |
| 168 | DetectionPostProcessTestImpl(false, expectedDetectionBoxes, expectedDetectionClasses, |
| 169 | expectedDetectionScores, expectedNumDetections); |
| 170 | } |
| 171 | |
| 172 | BOOST_AUTO_TEST_SUITE_END() |