Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | #pragma once |
| 6 | |
Aron Virginas-Tar | d4f0fea | 2019-04-09 14:08:06 +0100 | [diff] [blame] | 7 | #include <ResolveType.hpp> |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 8 | |
| 9 | #include <armnn/Types.hpp> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 10 | |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 11 | #include <backendsCommon/CpuTensorHandle.hpp> |
| 12 | #include <backendsCommon/IBackendInternal.hpp> |
| 13 | #include <backendsCommon/WorkloadFactory.hpp> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 14 | |
| 15 | #include <backendsCommon/test/TensorCopyUtils.hpp> |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 16 | #include <backendsCommon/test/WorkloadFactoryHelper.hpp> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 17 | #include <backendsCommon/test/WorkloadTestUtils.hpp> |
| 18 | |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 19 | #include <test/TensorHelpers.hpp> |
| 20 | |
Aron Virginas-Tar | 6331f91 | 2019-06-03 17:10:02 +0100 | [diff] [blame] | 21 | namespace |
| 22 | { |
| 23 | |
| 24 | using FloatData = std::vector<float>; |
| 25 | using QuantData = std::pair<float, int32_t>; |
| 26 | |
| 27 | struct TestData |
| 28 | { |
| 29 | static const armnn::TensorShape s_BoxEncodingsShape; |
| 30 | static const armnn::TensorShape s_ScoresShape; |
| 31 | static const armnn::TensorShape s_AnchorsShape; |
| 32 | |
| 33 | static const QuantData s_BoxEncodingsQuantData; |
| 34 | static const QuantData s_ScoresQuantData; |
| 35 | static const QuantData s_AnchorsQuantData; |
| 36 | |
| 37 | static const FloatData s_BoxEncodings; |
| 38 | static const FloatData s_Scores; |
| 39 | static const FloatData s_Anchors; |
| 40 | }; |
| 41 | |
| 42 | struct RegularNmsExpectedResults |
| 43 | { |
| 44 | static const FloatData s_DetectionBoxes; |
| 45 | static const FloatData s_DetectionScores; |
| 46 | static const FloatData s_DetectionClasses; |
| 47 | static const FloatData s_NumDetections; |
| 48 | }; |
| 49 | |
| 50 | struct FastNmsExpectedResults |
| 51 | { |
| 52 | static const FloatData s_DetectionBoxes; |
| 53 | static const FloatData s_DetectionScores; |
| 54 | static const FloatData s_DetectionClasses; |
| 55 | static const FloatData s_NumDetections; |
| 56 | }; |
| 57 | |
| 58 | const armnn::TensorShape TestData::s_BoxEncodingsShape = { 1, 6, 4 }; |
| 59 | const armnn::TensorShape TestData::s_ScoresShape = { 1, 6, 3 }; |
| 60 | const armnn::TensorShape TestData::s_AnchorsShape = { 6, 4 }; |
| 61 | |
| 62 | const QuantData TestData::s_BoxEncodingsQuantData = { 1.00f, 1 }; |
| 63 | const QuantData TestData::s_ScoresQuantData = { 0.01f, 0 }; |
| 64 | const QuantData TestData::s_AnchorsQuantData = { 0.50f, 0 }; |
| 65 | |
| 66 | const FloatData TestData::s_BoxEncodings = |
| 67 | { |
| 68 | 0.0f, 0.0f, 0.0f, 0.0f, |
| 69 | 0.0f, 1.0f, 0.0f, 0.0f, |
| 70 | 0.0f, -1.0f, 0.0f, 0.0f, |
| 71 | 0.0f, 0.0f, 0.0f, 0.0f, |
| 72 | 0.0f, 1.0f, 0.0f, 0.0f, |
| 73 | 0.0f, 0.0f, 0.0f, 0.0f |
| 74 | }; |
| 75 | |
| 76 | const FloatData TestData::s_Scores = |
| 77 | { |
| 78 | 0.0f, 0.90f, 0.80f, |
| 79 | 0.0f, 0.75f, 0.72f, |
| 80 | 0.0f, 0.60f, 0.50f, |
| 81 | 0.0f, 0.93f, 0.95f, |
| 82 | 0.0f, 0.50f, 0.40f, |
| 83 | 0.0f, 0.30f, 0.20f |
| 84 | }; |
| 85 | |
| 86 | const FloatData TestData::s_Anchors = |
| 87 | { |
| 88 | 0.5f, 0.5f, 1.0f, 1.0f, |
| 89 | 0.5f, 0.5f, 1.0f, 1.0f, |
| 90 | 0.5f, 0.5f, 1.0f, 1.0f, |
| 91 | 0.5f, 10.5f, 1.0f, 1.0f, |
| 92 | 0.5f, 10.5f, 1.0f, 1.0f, |
| 93 | 0.5f, 100.5f, 1.0f, 1.0f |
| 94 | }; |
| 95 | |
| 96 | const FloatData RegularNmsExpectedResults::s_DetectionBoxes = |
| 97 | { |
| 98 | 0.0f, 10.0f, 1.0f, 11.0f, |
| 99 | 0.0f, 10.0f, 1.0f, 11.0f, |
| 100 | 0.0f, 0.0f, 0.0f, 0.0f |
| 101 | }; |
| 102 | |
| 103 | const FloatData RegularNmsExpectedResults::s_DetectionScores = |
| 104 | { |
| 105 | 0.95f, 0.93f, 0.0f |
| 106 | }; |
| 107 | |
| 108 | const FloatData RegularNmsExpectedResults::s_DetectionClasses = |
| 109 | { |
| 110 | 1.0f, 0.0f, 0.0f |
| 111 | }; |
| 112 | |
| 113 | const FloatData RegularNmsExpectedResults::s_NumDetections = { 2.0f }; |
| 114 | |
| 115 | const FloatData FastNmsExpectedResults::s_DetectionBoxes = |
| 116 | { |
| 117 | 0.0f, 10.0f, 1.0f, 11.0f, |
| 118 | 0.0f, 0.0f, 1.0f, 1.0f, |
| 119 | 0.0f, 100.0f, 1.0f, 101.0f |
| 120 | }; |
| 121 | |
| 122 | const FloatData FastNmsExpectedResults::s_DetectionScores = |
| 123 | { |
| 124 | 0.95f, 0.9f, 0.3f |
| 125 | }; |
| 126 | |
| 127 | const FloatData FastNmsExpectedResults::s_DetectionClasses = |
| 128 | { |
| 129 | 1.0f, 0.0f, 0.0f |
| 130 | }; |
| 131 | |
| 132 | const FloatData FastNmsExpectedResults::s_NumDetections = { 3.0f }; |
| 133 | |
| 134 | } // anonymous namespace |
| 135 | |
| 136 | template<typename FactoryType, |
| 137 | armnn::DataType ArmnnType, |
| 138 | typename T = armnn::ResolveType<ArmnnType>> |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 139 | void DetectionPostProcessImpl(const armnn::TensorInfo& boxEncodingsInfo, |
| 140 | const armnn::TensorInfo& scoresInfo, |
| 141 | const armnn::TensorInfo& anchorsInfo, |
| 142 | const std::vector<T>& boxEncodingsData, |
| 143 | const std::vector<T>& scoresData, |
| 144 | const std::vector<T>& anchorsData, |
| 145 | const std::vector<float>& expectedDetectionBoxes, |
| 146 | const std::vector<float>& expectedDetectionClasses, |
| 147 | const std::vector<float>& expectedDetectionScores, |
| 148 | const std::vector<float>& expectedNumDetections, |
| 149 | bool useRegularNms) |
| 150 | { |
| 151 | std::unique_ptr<armnn::Profiler> profiler = std::make_unique<armnn::Profiler>(); |
| 152 | armnn::ProfilerManager::GetInstance().RegisterProfiler(profiler.get()); |
| 153 | |
| 154 | auto memoryManager = WorkloadFactoryHelper<FactoryType>::GetMemoryManager(); |
| 155 | FactoryType workloadFactory = WorkloadFactoryHelper<FactoryType>::GetFactory(memoryManager); |
| 156 | |
| 157 | auto boxEncodings = MakeTensor<T, 3>(boxEncodingsInfo, boxEncodingsData); |
| 158 | auto scores = MakeTensor<T, 3>(scoresInfo, scoresData); |
| 159 | auto anchors = MakeTensor<T, 2>(anchorsInfo, anchorsData); |
| 160 | |
| 161 | armnn::TensorInfo detectionBoxesInfo({ 1, 3, 4 }, armnn::DataType::Float32); |
| 162 | armnn::TensorInfo detectionScoresInfo({ 1, 3 }, armnn::DataType::Float32); |
| 163 | armnn::TensorInfo detectionClassesInfo({ 1, 3 }, armnn::DataType::Float32); |
| 164 | armnn::TensorInfo numDetectionInfo({ 1 }, armnn::DataType::Float32); |
| 165 | |
| 166 | LayerTestResult<float, 3> detectionBoxesResult(detectionBoxesInfo); |
| 167 | detectionBoxesResult.outputExpected = MakeTensor<float, 3>(detectionBoxesInfo, expectedDetectionBoxes); |
| 168 | LayerTestResult<float, 2> detectionClassesResult(detectionClassesInfo); |
| 169 | detectionClassesResult.outputExpected = MakeTensor<float, 2>(detectionClassesInfo, expectedDetectionClasses); |
| 170 | LayerTestResult<float, 2> detectionScoresResult(detectionScoresInfo); |
| 171 | detectionScoresResult.outputExpected = MakeTensor<float, 2>(detectionScoresInfo, expectedDetectionScores); |
| 172 | LayerTestResult<float, 1> numDetectionsResult(numDetectionInfo); |
| 173 | numDetectionsResult.outputExpected = MakeTensor<float, 1>(numDetectionInfo, expectedNumDetections); |
| 174 | |
| 175 | std::unique_ptr<armnn::ITensorHandle> boxedHandle = workloadFactory.CreateTensorHandle(boxEncodingsInfo); |
| 176 | std::unique_ptr<armnn::ITensorHandle> scoreshandle = workloadFactory.CreateTensorHandle(scoresInfo); |
| 177 | std::unique_ptr<armnn::ITensorHandle> anchorsHandle = workloadFactory.CreateTensorHandle(anchorsInfo); |
| 178 | std::unique_ptr<armnn::ITensorHandle> outputBoxesHandle = workloadFactory.CreateTensorHandle(detectionBoxesInfo); |
| 179 | std::unique_ptr<armnn::ITensorHandle> classesHandle = workloadFactory.CreateTensorHandle(detectionClassesInfo); |
| 180 | std::unique_ptr<armnn::ITensorHandle> outputScoresHandle = workloadFactory.CreateTensorHandle(detectionScoresInfo); |
| 181 | std::unique_ptr<armnn::ITensorHandle> numDetectionHandle = workloadFactory.CreateTensorHandle(numDetectionInfo); |
| 182 | |
| 183 | armnn::ScopedCpuTensorHandle anchorsTensor(anchorsInfo); |
| 184 | AllocateAndCopyDataToITensorHandle(&anchorsTensor, &anchors[0][0]); |
| 185 | |
| 186 | armnn::DetectionPostProcessQueueDescriptor data; |
| 187 | data.m_Parameters.m_UseRegularNms = useRegularNms; |
| 188 | data.m_Parameters.m_MaxDetections = 3; |
| 189 | data.m_Parameters.m_MaxClassesPerDetection = 1; |
| 190 | data.m_Parameters.m_DetectionsPerClass =1; |
| 191 | data.m_Parameters.m_NmsScoreThreshold = 0.0; |
| 192 | data.m_Parameters.m_NmsIouThreshold = 0.5; |
| 193 | data.m_Parameters.m_NumClasses = 2; |
| 194 | data.m_Parameters.m_ScaleY = 10.0; |
| 195 | data.m_Parameters.m_ScaleX = 10.0; |
| 196 | data.m_Parameters.m_ScaleH = 5.0; |
| 197 | data.m_Parameters.m_ScaleW = 5.0; |
| 198 | data.m_Anchors = &anchorsTensor; |
| 199 | |
| 200 | armnn::WorkloadInfo info; |
| 201 | AddInputToWorkload(data, info, boxEncodingsInfo, boxedHandle.get()); |
| 202 | AddInputToWorkload(data, info, scoresInfo, scoreshandle.get()); |
| 203 | AddOutputToWorkload(data, info, detectionBoxesInfo, outputBoxesHandle.get()); |
| 204 | AddOutputToWorkload(data, info, detectionClassesInfo, classesHandle.get()); |
| 205 | AddOutputToWorkload(data, info, detectionScoresInfo, outputScoresHandle.get()); |
| 206 | AddOutputToWorkload(data, info, numDetectionInfo, numDetectionHandle.get()); |
| 207 | |
| 208 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateDetectionPostProcess(data, info); |
| 209 | |
| 210 | boxedHandle->Allocate(); |
| 211 | scoreshandle->Allocate(); |
| 212 | outputBoxesHandle->Allocate(); |
| 213 | classesHandle->Allocate(); |
| 214 | outputScoresHandle->Allocate(); |
| 215 | numDetectionHandle->Allocate(); |
| 216 | |
| 217 | CopyDataToITensorHandle(boxedHandle.get(), boxEncodings.origin()); |
| 218 | CopyDataToITensorHandle(scoreshandle.get(), scores.origin()); |
| 219 | |
| 220 | workload->Execute(); |
| 221 | |
| 222 | CopyDataFromITensorHandle(detectionBoxesResult.output.origin(), outputBoxesHandle.get()); |
| 223 | CopyDataFromITensorHandle(detectionClassesResult.output.origin(), classesHandle.get()); |
| 224 | CopyDataFromITensorHandle(detectionScoresResult.output.origin(), outputScoresHandle.get()); |
| 225 | CopyDataFromITensorHandle(numDetectionsResult.output.origin(), numDetectionHandle.get()); |
| 226 | |
| 227 | BOOST_TEST(CompareTensors(detectionBoxesResult.output, detectionBoxesResult.outputExpected)); |
| 228 | BOOST_TEST(CompareTensors(detectionClassesResult.output, detectionClassesResult.outputExpected)); |
| 229 | BOOST_TEST(CompareTensors(detectionScoresResult.output, detectionScoresResult.outputExpected)); |
| 230 | BOOST_TEST(CompareTensors(numDetectionsResult.output, numDetectionsResult.outputExpected)); |
| 231 | } |
| 232 | |
Aron Virginas-Tar | 6331f91 | 2019-06-03 17:10:02 +0100 | [diff] [blame] | 233 | template<armnn::DataType QuantizedType, typename RawType = armnn::ResolveType<QuantizedType>> |
| 234 | void QuantizeData(RawType* quant, const float* dequant, const armnn::TensorInfo& info) |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 235 | { |
| 236 | for (size_t i = 0; i < info.GetNumElements(); i++) |
| 237 | { |
Aron Virginas-Tar | 6331f91 | 2019-06-03 17:10:02 +0100 | [diff] [blame] | 238 | quant[i] = armnn::Quantize<RawType>( |
| 239 | dequant[i], info.GetQuantizationScale(), info.GetQuantizationOffset()); |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 240 | } |
| 241 | } |
| 242 | |
Aron Virginas-Tar | 6331f91 | 2019-06-03 17:10:02 +0100 | [diff] [blame] | 243 | template<typename FactoryType> |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 244 | void DetectionPostProcessRegularNmsFloatTest() |
| 245 | { |
Aron Virginas-Tar | 6331f91 | 2019-06-03 17:10:02 +0100 | [diff] [blame] | 246 | return DetectionPostProcessImpl<FactoryType, armnn::DataType::Float32>( |
| 247 | armnn::TensorInfo(TestData::s_BoxEncodingsShape, armnn::DataType::Float32), |
| 248 | armnn::TensorInfo(TestData::s_ScoresShape, armnn::DataType::Float32), |
| 249 | armnn::TensorInfo(TestData::s_AnchorsShape, armnn::DataType::Float32), |
| 250 | TestData::s_BoxEncodings, |
| 251 | TestData::s_Scores, |
| 252 | TestData::s_Anchors, |
| 253 | RegularNmsExpectedResults::s_DetectionBoxes, |
| 254 | RegularNmsExpectedResults::s_DetectionClasses, |
| 255 | RegularNmsExpectedResults::s_DetectionScores, |
| 256 | RegularNmsExpectedResults::s_NumDetections, |
| 257 | true); |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 258 | } |
| 259 | |
Aron Virginas-Tar | 6331f91 | 2019-06-03 17:10:02 +0100 | [diff] [blame] | 260 | template<typename FactoryType, |
| 261 | armnn::DataType QuantizedType, |
| 262 | typename RawType = armnn::ResolveType<QuantizedType>> |
| 263 | void DetectionPostProcessRegularNmsQuantizedTest() |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 264 | { |
Aron Virginas-Tar | 6331f91 | 2019-06-03 17:10:02 +0100 | [diff] [blame] | 265 | armnn::TensorInfo boxEncodingsInfo(TestData::s_BoxEncodingsShape, QuantizedType); |
| 266 | armnn::TensorInfo scoresInfo(TestData::s_ScoresShape, QuantizedType); |
| 267 | armnn::TensorInfo anchorsInfo(TestData::s_AnchorsShape, QuantizedType); |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 268 | |
Aron Virginas-Tar | 6331f91 | 2019-06-03 17:10:02 +0100 | [diff] [blame] | 269 | boxEncodingsInfo.SetQuantizationScale(TestData::s_BoxEncodingsQuantData.first); |
| 270 | boxEncodingsInfo.SetQuantizationOffset(TestData::s_BoxEncodingsQuantData.second); |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 271 | |
Aron Virginas-Tar | 6331f91 | 2019-06-03 17:10:02 +0100 | [diff] [blame] | 272 | scoresInfo.SetQuantizationScale(TestData::s_ScoresQuantData.first); |
| 273 | scoresInfo.SetQuantizationOffset(TestData::s_ScoresQuantData.second); |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 274 | |
Aron Virginas-Tar | 6331f91 | 2019-06-03 17:10:02 +0100 | [diff] [blame] | 275 | anchorsInfo.SetQuantizationScale(TestData::s_AnchorsQuantData.first); |
| 276 | anchorsInfo.SetQuantizationOffset(TestData::s_BoxEncodingsQuantData.second); |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 277 | |
Aron Virginas-Tar | 6331f91 | 2019-06-03 17:10:02 +0100 | [diff] [blame] | 278 | std::vector<RawType> boxEncodingsData(TestData::s_BoxEncodingsShape.GetNumElements()); |
| 279 | QuantizeData<QuantizedType>(boxEncodingsData.data(), |
| 280 | TestData::s_BoxEncodings.data(), |
| 281 | boxEncodingsInfo); |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 282 | |
Aron Virginas-Tar | 6331f91 | 2019-06-03 17:10:02 +0100 | [diff] [blame] | 283 | std::vector<RawType> scoresData(TestData::s_ScoresShape.GetNumElements()); |
| 284 | QuantizeData<QuantizedType>(scoresData.data(), |
| 285 | TestData::s_Scores.data(), |
| 286 | scoresInfo); |
| 287 | |
| 288 | std::vector<RawType> anchorsData(TestData::s_AnchorsShape.GetNumElements()); |
| 289 | QuantizeData<QuantizedType>(anchorsData.data(), |
| 290 | TestData::s_Anchors.data(), |
| 291 | anchorsInfo); |
| 292 | |
| 293 | return DetectionPostProcessImpl<FactoryType, QuantizedType>( |
| 294 | boxEncodingsInfo, |
| 295 | scoresInfo, |
| 296 | anchorsInfo, |
| 297 | boxEncodingsData, |
| 298 | scoresData, |
| 299 | anchorsData, |
| 300 | RegularNmsExpectedResults::s_DetectionBoxes, |
| 301 | RegularNmsExpectedResults::s_DetectionClasses, |
| 302 | RegularNmsExpectedResults::s_DetectionScores, |
| 303 | RegularNmsExpectedResults::s_NumDetections, |
| 304 | true); |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 305 | } |
| 306 | |
Aron Virginas-Tar | 6331f91 | 2019-06-03 17:10:02 +0100 | [diff] [blame] | 307 | template<typename FactoryType> |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 308 | void DetectionPostProcessFastNmsFloatTest() |
| 309 | { |
Aron Virginas-Tar | 6331f91 | 2019-06-03 17:10:02 +0100 | [diff] [blame] | 310 | return DetectionPostProcessImpl<FactoryType, armnn::DataType::Float32>( |
| 311 | armnn::TensorInfo(TestData::s_BoxEncodingsShape, armnn::DataType::Float32), |
| 312 | armnn::TensorInfo(TestData::s_ScoresShape, armnn::DataType::Float32), |
| 313 | armnn::TensorInfo(TestData::s_AnchorsShape, armnn::DataType::Float32), |
| 314 | TestData::s_BoxEncodings, |
| 315 | TestData::s_Scores, |
| 316 | TestData::s_Anchors, |
| 317 | FastNmsExpectedResults::s_DetectionBoxes, |
| 318 | FastNmsExpectedResults::s_DetectionClasses, |
| 319 | FastNmsExpectedResults::s_DetectionScores, |
| 320 | FastNmsExpectedResults::s_NumDetections, |
| 321 | false); |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 322 | } |
| 323 | |
Aron Virginas-Tar | 6331f91 | 2019-06-03 17:10:02 +0100 | [diff] [blame] | 324 | template<typename FactoryType, |
| 325 | armnn::DataType QuantizedType, |
| 326 | typename RawType = armnn::ResolveType<QuantizedType>> |
| 327 | void DetectionPostProcessFastNmsQuantizedTest() |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 328 | { |
Aron Virginas-Tar | 6331f91 | 2019-06-03 17:10:02 +0100 | [diff] [blame] | 329 | armnn::TensorInfo boxEncodingsInfo(TestData::s_BoxEncodingsShape, QuantizedType); |
| 330 | armnn::TensorInfo scoresInfo(TestData::s_ScoresShape, QuantizedType); |
| 331 | armnn::TensorInfo anchorsInfo(TestData::s_AnchorsShape, QuantizedType); |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 332 | |
Aron Virginas-Tar | 6331f91 | 2019-06-03 17:10:02 +0100 | [diff] [blame] | 333 | boxEncodingsInfo.SetQuantizationScale(TestData::s_BoxEncodingsQuantData.first); |
| 334 | boxEncodingsInfo.SetQuantizationOffset(TestData::s_BoxEncodingsQuantData.second); |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 335 | |
Aron Virginas-Tar | 6331f91 | 2019-06-03 17:10:02 +0100 | [diff] [blame] | 336 | scoresInfo.SetQuantizationScale(TestData::s_ScoresQuantData.first); |
| 337 | scoresInfo.SetQuantizationOffset(TestData::s_ScoresQuantData.second); |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 338 | |
Aron Virginas-Tar | 6331f91 | 2019-06-03 17:10:02 +0100 | [diff] [blame] | 339 | anchorsInfo.SetQuantizationScale(TestData::s_AnchorsQuantData.first); |
| 340 | anchorsInfo.SetQuantizationOffset(TestData::s_BoxEncodingsQuantData.second); |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 341 | |
Aron Virginas-Tar | 6331f91 | 2019-06-03 17:10:02 +0100 | [diff] [blame] | 342 | std::vector<RawType> boxEncodingsData(TestData::s_BoxEncodingsShape.GetNumElements()); |
| 343 | QuantizeData<QuantizedType>(boxEncodingsData.data(), |
| 344 | TestData::s_BoxEncodings.data(), |
| 345 | boxEncodingsInfo); |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 346 | |
Aron Virginas-Tar | 6331f91 | 2019-06-03 17:10:02 +0100 | [diff] [blame] | 347 | std::vector<RawType> scoresData(TestData::s_ScoresShape.GetNumElements()); |
| 348 | QuantizeData<QuantizedType>(scoresData.data(), |
| 349 | TestData::s_Scores.data(), |
| 350 | scoresInfo); |
| 351 | |
| 352 | std::vector<RawType> anchorsData(TestData::s_AnchorsShape.GetNumElements()); |
| 353 | QuantizeData<QuantizedType>(anchorsData.data(), |
| 354 | TestData::s_Anchors.data(), |
| 355 | anchorsInfo); |
| 356 | |
| 357 | return DetectionPostProcessImpl<FactoryType, QuantizedType>( |
| 358 | boxEncodingsInfo, |
| 359 | scoresInfo, |
| 360 | anchorsInfo, |
| 361 | boxEncodingsData, |
| 362 | scoresData, |
| 363 | anchorsData, |
| 364 | FastNmsExpectedResults::s_DetectionBoxes, |
| 365 | FastNmsExpectedResults::s_DetectionClasses, |
| 366 | FastNmsExpectedResults::s_DetectionScores, |
| 367 | FastNmsExpectedResults::s_NumDetections, |
| 368 | false); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 369 | } |