2 // Copyright © 2017 Arm Ltd. All rights reserved.
3 // SPDX-License-Identifier: MIT
6 #include "InferenceTestImage.hpp"
7 #include "ImagePreprocessor.hpp"
9 #include <armnn/TypesUtils.hpp>
11 #include <armnnUtils/Permute.hpp>
12 #include <armnn/utility/NumericCast.hpp>
18 template <typename TDataType>
19 unsigned int ImagePreprocessor<TDataType>::GetLabelAndResizedImageAsFloat(unsigned int testCaseId,
20 std::vector<float> & result)
22 testCaseId = testCaseId % armnn::numeric_cast<unsigned int>(m_ImageSet.size());
23 const ImageSet& imageSet = m_ImageSet[testCaseId];
24 const std::string fullPath = m_BinaryDirectory + imageSet.first;
26 InferenceTestImage image(fullPath.c_str());
28 // this ResizeBilinear result is closer to the tensorflow one than STB.
29 // there is still some difference though, but the inference results are
30 // similar to tensorflow for MobileNet
32 result = image.Resize(m_Width, m_Height, CHECK_LOCATION(),
33 InferenceTestImage::ResizingMethods::BilinearAndNormalized,
34 m_Mean, m_Stddev, m_Scale);
36 // duplicate data across the batch
37 for (unsigned int i = 1; i < m_BatchSize; i++)
39 result.insert(result.end(), result.begin(), result.begin() + armnn::numeric_cast<int>(GetNumImageElements()));
42 if (m_DataFormat == DataFormat::NCHW)
44 const armnn::PermutationVector NHWCToArmNN = { 0, 2, 3, 1 };
45 armnn::TensorShape dstShape({m_BatchSize, 3, m_Height, m_Width});
46 std::vector<float> tempImage(result.size());
47 armnnUtils::Permute(dstShape, NHWCToArmNN, result.data(), tempImage.data(), sizeof(float));
48 result.swap(tempImage);
51 return imageSet.second;
55 std::unique_ptr<ImagePreprocessor<float>::TTestCaseData>
56 ImagePreprocessor<float>::GetTestCaseData(unsigned int testCaseId)
58 std::vector<float> resized;
59 auto label = GetLabelAndResizedImageAsFloat(testCaseId, resized);
60 return std::make_unique<TTestCaseData>(label, std::move(resized));
64 std::unique_ptr<ImagePreprocessor<uint8_t>::TTestCaseData>
65 ImagePreprocessor<uint8_t>::GetTestCaseData(unsigned int testCaseId)
67 std::vector<float> resized;
68 auto label = GetLabelAndResizedImageAsFloat(testCaseId, resized);
70 size_t resizedSize = resized.size();
71 std::vector<uint8_t> quantized(resized.size());
73 for (size_t i=0; i<resizedSize; ++i)
75 quantized[i] = static_cast<uint8_t>(resized[i]);
78 return std::make_unique<TTestCaseData>(label, std::move(quantized));