From 4628d05455dfc179f0437913185e76888115a98a Mon Sep 17 00:00:00 2001 From: Narumol Prangnawarat Date: Mon, 25 Feb 2019 17:26:05 +0000 Subject: IVGCVSW-2560 Verify Inference test for TensorFlow Lite MobileNet SSD * Assign output shape of MobileNet SSD to ArmNN network * Add m_OverridenOutputShapes to TfLiteParser to set shape in GetNetworkOutputBindingInfo * Use input quantization instead of output quantization params * Correct data and datatype in Inference test Change-Id: I01ac2e07ed08e8928ba0df33a4847399e1dd8394 Signed-off-by: Narumol Prangnawarat Signed-off-by: Aron Virginas-Tar --- tests/MobileNetSsdInferenceTest.hpp | 69 ++++++++++++++++++------------------- 1 file changed, 34 insertions(+), 35 deletions(-) (limited to 'tests/MobileNetSsdInferenceTest.hpp') diff --git a/tests/MobileNetSsdInferenceTest.hpp b/tests/MobileNetSsdInferenceTest.hpp index 10ee1dcae6..bbbf957dcf 100644 --- a/tests/MobileNetSsdInferenceTest.hpp +++ b/tests/MobileNetSsdInferenceTest.hpp @@ -29,7 +29,7 @@ public: { std::move(testCaseData.m_InputData) }, { k_OutputSize1, k_OutputSize2, k_OutputSize3, k_OutputSize4 }) , m_FloatComparer(boost::math::fpc::percent_tolerance(1.0f)) - , m_DetectedObjects(testCaseData.m_ExpectedOutput) + , m_DetectedObjects(testCaseData.m_ExpectedDetectedObject) {} TestCaseResult ProcessResult(const InferenceTestOptions& options) override @@ -46,10 +46,21 @@ public: const std::vector& output4 = boost::get>(this->GetOutputs()[3]); // valid detections BOOST_ASSERT(output4.size() == k_OutputSize4); + const size_t numDetections = boost::numeric_cast(output4[0]); + + // Check if number of valid detections matches expectations + const size_t expectedNumDetections = m_DetectedObjects.size(); + if (numDetections != expectedNumDetections) + { + BOOST_LOG_TRIVIAL(error) << "Number of detections is incorrect: Expected (" << + expectedNumDetections << ")" << " but got (" << numDetections << ")"; + return TestCaseResult::Failed; + } + // Extract detected objects from output data std::vector detectedObjects; const float* outputData = output1.data(); - for (unsigned int i = 0u; i < k_NumDetections; i++) + for (unsigned int i = 0u; i < numDetections; i++) { // NOTE: Order of coordinates in output data is yMin, xMin, yMax, xMax float yMin = *outputData++; @@ -58,61 +69,49 @@ public: float xMax = *outputData++; DetectedObject detectedObject( - static_cast(output2.at(i)), + output2.at(i), BoundingBox(xMin, yMin, xMax, yMax), output3.at(i)); detectedObjects.push_back(detectedObject); } - // Sort detected objects by confidence - std::sort(detectedObjects.begin(), detectedObjects.end(), - [](const DetectedObject& a, const DetectedObject& b) - { - return a.m_Confidence > b.m_Confidence || - (a.m_Confidence == b.m_Confidence && a.m_Class > b.m_Class); - }); - - // Check if number of valid detections matches expectations - const size_t numValidDetections = boost::numeric_cast(output4[0]); - if (numValidDetections != m_DetectedObjects.size()) - { - BOOST_LOG_TRIVIAL(error) << "Number of valid detections is incorrect: Expected (" << - m_DetectedObjects.size() << ")" << " but got (" << numValidDetections << ")"; - return TestCaseResult::Failed; - } + std::sort(detectedObjects.begin(), detectedObjects.end()); + std::sort(m_DetectedObjects.begin(), m_DetectedObjects.end()); // Compare detected objects with expected results std::vector::const_iterator it = detectedObjects.begin(); - for (const DetectedObject& expectedDetection : m_DetectedObjects) + for (unsigned int i = 0; i < numDetections; i++) { if (it == detectedObjects.end()) { - BOOST_LOG_TRIVIAL(info) << "No more detected objects to compare"; + BOOST_LOG_TRIVIAL(error) << "No more detected objects found! Index out of bounds: " << i; return TestCaseResult::Abort; } const DetectedObject& detectedObject = *it; - if (detectedObject.m_Class != expectedDetection.m_Class) + const DetectedObject& expectedObject = m_DetectedObjects[i]; + + if (detectedObject.m_Class != expectedObject.m_Class) { BOOST_LOG_TRIVIAL(error) << "Prediction for test case " << this->GetTestCaseId() << - " is incorrect: Expected (" << expectedDetection.m_Class << ")" << + " is incorrect: Expected (" << expectedObject.m_Class << ")" << " but predicted (" << detectedObject.m_Class << ")"; return TestCaseResult::Failed; } - if(!m_FloatComparer(detectedObject.m_Confidence, expectedDetection.m_Confidence)) + if(!m_FloatComparer(detectedObject.m_Confidence, expectedObject.m_Confidence)) { BOOST_LOG_TRIVIAL(error) << "Confidence of prediction for test case " << this->GetTestCaseId() << - " is incorrect: Expected (" << expectedDetection.m_Confidence << ") +- 1.0 pc" << + " is incorrect: Expected (" << expectedObject.m_Confidence << ") +- 1.0 pc" << " but predicted (" << detectedObject.m_Confidence << ")"; return TestCaseResult::Failed; } - if (!m_FloatComparer(detectedObject.m_BoundingBox.m_XMin, expectedDetection.m_BoundingBox.m_XMin) || - !m_FloatComparer(detectedObject.m_BoundingBox.m_YMin, expectedDetection.m_BoundingBox.m_YMin) || - !m_FloatComparer(detectedObject.m_BoundingBox.m_XMax, expectedDetection.m_BoundingBox.m_XMax) || - !m_FloatComparer(detectedObject.m_BoundingBox.m_YMax, expectedDetection.m_BoundingBox.m_YMax)) + if (!m_FloatComparer(detectedObject.m_BoundingBox.m_XMin, expectedObject.m_BoundingBox.m_XMin) || + !m_FloatComparer(detectedObject.m_BoundingBox.m_YMin, expectedObject.m_BoundingBox.m_YMin) || + !m_FloatComparer(detectedObject.m_BoundingBox.m_XMax, expectedObject.m_BoundingBox.m_XMax) || + !m_FloatComparer(detectedObject.m_BoundingBox.m_YMax, expectedObject.m_BoundingBox.m_YMax)) { BOOST_LOG_TRIVIAL(error) << "Detected bounding box for test case " << this->GetTestCaseId() << " is incorrect"; @@ -126,11 +125,11 @@ public: } private: - static constexpr unsigned int k_NumDetections = 1u; + static constexpr unsigned int k_Shape = 10u; - static constexpr unsigned int k_OutputSize1 = k_NumDetections * 4u; - static constexpr unsigned int k_OutputSize2 = k_NumDetections; - static constexpr unsigned int k_OutputSize3 = k_NumDetections; + static constexpr unsigned int k_OutputSize1 = k_Shape * 4u; + static constexpr unsigned int k_OutputSize2 = k_Shape; + static constexpr unsigned int k_OutputSize3 = k_Shape; static constexpr unsigned int k_OutputSize4 = 1u; boost::math::fpc::close_at_tolerance m_FloatComparer; @@ -152,7 +151,7 @@ public: options.add_options() ("data-dir,d", po::value(&m_DataDir)->required(), - "Path to directory containing test data"); + "Path to directory containing test data"); Model::AddCommandLineOptions(options, m_ModelCommandLineOptions); } @@ -169,7 +168,7 @@ public: { return false; } - std::pair qParams = m_Model->GetQuantizationParams(); + std::pair qParams = m_Model->GetInputQuantizationParams(); m_Database = std::make_unique(m_DataDir.c_str(), qParams.first, qParams.second); if (!m_Database) { -- cgit v1.2.1