| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| #include "InferenceTestImage.hpp" |
| #include "CaffePreprocessor.hpp" |
| |
| #include <armnn/utility/NumericCast.hpp> |
| |
| #include <iostream> |
| #include <fcntl.h> |
| #include <array> |
| |
| const std::vector<ImageSet> g_DefaultImageSet = |
| { |
| {"shark.jpg", 2} |
| }; |
| |
| CaffePreprocessor::CaffePreprocessor(const std::string& binaryFileDirectory, unsigned int width, unsigned int height, |
| const std::vector<ImageSet>& imageSet) |
| : m_BinaryDirectory(binaryFileDirectory) |
| , m_Height(height) |
| , m_Width(width) |
| , m_ImageSet(imageSet.empty() ? g_DefaultImageSet : imageSet) |
| { |
| } |
| |
| std::unique_ptr<CaffePreprocessor::TTestCaseData> CaffePreprocessor::GetTestCaseData(unsigned int testCaseId) |
| { |
| testCaseId = testCaseId % armnn::numeric_cast<unsigned int>(m_ImageSet.size()); |
| const ImageSet& imageSet = m_ImageSet[testCaseId]; |
| const std::string fullPath = m_BinaryDirectory + imageSet.first; |
| |
| InferenceTestImage image(fullPath.c_str()); |
| image.Resize(m_Width, m_Height, CHECK_LOCATION()); |
| |
| // The model expects image data in BGR format. |
| std::vector<float> inputImageData = GetImageDataInArmNnLayoutAsFloatsSubtractingMean(ImageChannelLayout::Bgr, |
| image, m_MeanBgr); |
| |
| // List of labels: https://gist.github.com/yrevar/942d3a0ac09ec9e5eb3a |
| const unsigned int label = imageSet.second; |
| return std::make_unique<TTestCaseData>(label, std::move(inputImageData)); |
| } |