| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| #pragma once |
| |
| #include <armnn/Exceptions.hpp> |
| #include <VerificationHelpers.hpp> |
| |
| #include <array> |
| #include <cstdint> |
| #include <vector> |
| #include <utility> |
| |
| class InferenceTestImageException : public armnn::Exception |
| { |
| public: |
| using Exception::Exception; |
| }; |
| |
| class InferenceTestImageLoadFailed : public InferenceTestImageException |
| { |
| public: |
| using InferenceTestImageException::InferenceTestImageException; |
| }; |
| |
| class InferenceTestImageOutOfBoundsAccess : public InferenceTestImageException |
| { |
| public: |
| using InferenceTestImageException::InferenceTestImageException; |
| }; |
| |
| class InferenceTestImageResizeFailed : public InferenceTestImageException |
| { |
| public: |
| using InferenceTestImageException::InferenceTestImageException; |
| }; |
| |
| class InferenceTestImageWriteFailed : public InferenceTestImageException |
| { |
| public: |
| using InferenceTestImageException::InferenceTestImageException; |
| }; |
| |
| class UnknownImageChannelLayout : public InferenceTestImageException |
| { |
| public: |
| using InferenceTestImageException::InferenceTestImageException; |
| }; |
| |
| class InferenceTestImage |
| { |
| public: |
| enum class WriteFormat |
| { |
| Png, |
| Bmp, |
| Tga |
| }; |
| |
| // Common names used to identify a channel in a pixel. |
| enum class ResizingMethods |
| { |
| STB, |
| BilinearAndNormalized, |
| }; |
| |
| explicit InferenceTestImage(const char* filePath); |
| |
| InferenceTestImage(InferenceTestImage&&) = delete; |
| InferenceTestImage(const InferenceTestImage&) = delete; |
| InferenceTestImage& operator=(const InferenceTestImage&) = delete; |
| InferenceTestImage& operator=(InferenceTestImage&&) = delete; |
| |
| unsigned int GetWidth() const { return m_Width; } |
| unsigned int GetHeight() const { return m_Height; } |
| unsigned int GetNumChannels() const { return m_NumChannels; } |
| unsigned int GetNumElements() const { return GetWidth() * GetHeight() * GetNumChannels(); } |
| unsigned int GetSizeInBytes() const { return GetNumElements() * GetSingleElementSizeInBytes(); } |
| |
| // Returns the pixel identified by the given coordinates as a 3-channel value. |
| // Channels beyond the third are dropped. If the image provides less than 3 channels, the non-existent |
| // channels of the pixel will be filled with 0. Channels are returned in RGB order (that is, the first element |
| // of the tuple corresponds to the Red channel, whereas the last element is the Blue channel). |
| std::tuple<uint8_t, uint8_t, uint8_t> GetPixelAs3Channels(unsigned int x, unsigned int y) const; |
| |
| void StbResize(InferenceTestImage& im, const unsigned int newWidth, const unsigned int newHeight); |
| |
| |
| std::vector<float> Resize(unsigned int newWidth, |
| unsigned int newHeight, |
| const armnn::CheckLocation& location, |
| const ResizingMethods meth = ResizingMethods::STB, |
| const std::array<float, 3>& mean = {{0.0, 0.0, 0.0}}, |
| const std::array<float, 3>& stddev = {{1.0, 1.0, 1.0}}); |
| |
| void Write(WriteFormat format, const char* filePath) const; |
| |
| private: |
| static unsigned int GetSingleElementSizeInBytes() |
| { |
| return sizeof(decltype(std::declval<InferenceTestImage>().m_Data[0])); |
| } |
| |
| std::vector<uint8_t> m_Data; |
| unsigned int m_Width; |
| unsigned int m_Height; |
| unsigned int m_NumChannels; |
| }; |
| |
| // Common names used to identify a channel in a pixel. |
| enum class ImageChannel |
| { |
| R, |
| G, |
| B |
| }; |
| |
| // Channel layouts handled by the test framework. |
| enum class ImageChannelLayout |
| { |
| Rgb, |
| Bgr |
| }; |
| |
| // Reads the contents of an inference test image as 3-channel pixels whose channel values have been normalized (scaled) |
| // and now lie in the range [0,1]. Channel data is stored according to the ArmNN layout (CHW). The order in which |
| // channels appear in the resulting vector is defined by the provided layout. |
| std::vector<float> GetImageDataInArmNnLayoutAsNormalizedFloats(ImageChannelLayout layout, |
| const InferenceTestImage& image); |
| |
| // Reads the contents of an inference test image as 3-channel pixels, whose value is the result of subtracting the mean |
| // from the values in the original image. Channel data is stored according to the ArmNN layout (CHW). The order in |
| // which channels appear in the resulting vector is defined by the provided layout. The order of the channels of the |
| // provided mean should also match the given layout. |
| std::vector<float> GetImageDataInArmNnLayoutAsFloatsSubtractingMean(ImageChannelLayout layout, |
| const InferenceTestImage& image, |
| const std::array<float, 3>& mean); |
| |
| // Reads the contents of an inference test image as 3-channel pixels and returns the image data as normalized float |
| // values. The returned image stay in the original order (HWC) order. The C order may be changed according to the |
| // supplied layout value. |
| std::vector<float> GetImageDataAsNormalizedFloats(ImageChannelLayout layout, |
| const InferenceTestImage& image); |