telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
| 3 | // See LICENSE file in the project root for full license information. |
| 4 | // |
| 5 | #include "InferenceTestImage.hpp" |
| 6 | |
| 7 | #include <boost/core/ignore_unused.hpp> |
| 8 | #include <boost/format.hpp> |
| 9 | #include <boost/core/ignore_unused.hpp> |
| 10 | #include <boost/numeric/conversion/cast.hpp> |
| 11 | |
| 12 | #include <array> |
| 13 | |
| 14 | #define STB_IMAGE_IMPLEMENTATION |
| 15 | #include <stb_image.h> |
| 16 | |
| 17 | #define STB_IMAGE_RESIZE_IMPLEMENTATION |
| 18 | #include <stb_image_resize.h> |
| 19 | |
| 20 | #define STB_IMAGE_WRITE_IMPLEMENTATION |
| 21 | #include <stb_image_write.h> |
| 22 | |
| 23 | namespace |
| 24 | { |
| 25 | |
| 26 | unsigned int GetImageChannelIndex(ImageChannelLayout channelLayout, ImageChannel channel) |
| 27 | { |
| 28 | switch (channelLayout) |
| 29 | { |
| 30 | case ImageChannelLayout::Rgb: |
| 31 | return static_cast<unsigned int>(channel); |
| 32 | case ImageChannelLayout::Bgr: |
| 33 | return 2u - static_cast<unsigned int>(channel); |
| 34 | default: |
| 35 | throw UnknownImageChannelLayout(boost::str(boost::format("Unknown layout %1%") |
| 36 | % static_cast<int>(channelLayout))); |
| 37 | } |
| 38 | } |
| 39 | |
| 40 | } // namespace |
| 41 | |
| 42 | InferenceTestImage::InferenceTestImage(char const* filePath) |
| 43 | : m_Width(0u) |
| 44 | , m_Height(0u) |
| 45 | , m_NumChannels(0u) |
| 46 | { |
| 47 | int width; |
| 48 | int height; |
| 49 | int channels; |
| 50 | |
| 51 | using StbImageDataPtr = std::unique_ptr<unsigned char, decltype(&stbi_image_free)>; |
| 52 | StbImageDataPtr stbData(stbi_load(filePath, &width, &height, &channels, 0), &stbi_image_free); |
| 53 | |
| 54 | if (stbData == nullptr) |
| 55 | { |
| 56 | throw InferenceTestImageLoadFailed(boost::str(boost::format("Could not load the image at %1%") % filePath)); |
| 57 | } |
| 58 | |
| 59 | if (width == 0 || height == 0) |
| 60 | { |
| 61 | throw InferenceTestImageLoadFailed(boost::str(boost::format("Could not load empty image at %1%") % filePath)); |
| 62 | } |
| 63 | |
| 64 | m_Width = boost::numeric_cast<unsigned int>(width); |
| 65 | m_Height = boost::numeric_cast<unsigned int>(height); |
| 66 | m_NumChannels = boost::numeric_cast<unsigned int>(channels); |
| 67 | |
| 68 | const unsigned int sizeInBytes = GetSizeInBytes(); |
| 69 | m_Data.resize(sizeInBytes); |
| 70 | memcpy(m_Data.data(), stbData.get(), sizeInBytes); |
| 71 | } |
| 72 | |
| 73 | std::tuple<uint8_t, uint8_t, uint8_t> InferenceTestImage::GetPixelAs3Channels(unsigned int x, unsigned int y) const |
| 74 | { |
| 75 | if (x >= m_Width || y >= m_Height) |
| 76 | { |
| 77 | throw InferenceTestImageOutOfBoundsAccess(boost::str(boost::format("Attempted out of bounds image access. " |
| 78 | "Requested (%1%, %2%). Maximum valid coordinates (%3%, %4%).") % x % y % (m_Width - 1) % (m_Height - 1))); |
| 79 | } |
| 80 | |
| 81 | const unsigned int pixelOffset = x * GetNumChannels() + y * GetWidth() * GetNumChannels(); |
| 82 | const uint8_t* const pixelData = m_Data.data() + pixelOffset; |
| 83 | BOOST_ASSERT(pixelData <= (m_Data.data() + GetSizeInBytes())); |
| 84 | |
| 85 | std::array<uint8_t, 3> outPixelData; |
| 86 | outPixelData.fill(0); |
| 87 | |
| 88 | const unsigned int maxChannelsInPixel = std::min(GetNumChannels(), static_cast<unsigned int>(outPixelData.size())); |
| 89 | for (unsigned int c = 0; c < maxChannelsInPixel; ++c) |
| 90 | { |
| 91 | outPixelData[c] = pixelData[c]; |
| 92 | } |
| 93 | |
| 94 | return std::make_tuple(outPixelData[0], outPixelData[1], outPixelData[2]); |
| 95 | } |
| 96 | |
| 97 | void InferenceTestImage::Resize(unsigned int newWidth, unsigned int newHeight) |
| 98 | { |
| 99 | if (newWidth == 0 || newHeight == 0) |
| 100 | { |
| 101 | throw InferenceTestImageResizeFailed(boost::str(boost::format("None of the dimensions passed to a resize " |
| 102 | "operation can be zero. Requested width: %1%. Requested height: %2%.") % newWidth % newHeight)); |
| 103 | } |
| 104 | |
| 105 | if (newWidth == m_Width && newHeight == m_Height) |
| 106 | { |
| 107 | // nothing to do |
| 108 | return; |
| 109 | } |
| 110 | |
| 111 | std::vector<uint8_t> newData; |
| 112 | newData.resize(newWidth * newHeight * GetNumChannels() * GetSingleElementSizeInBytes()); |
| 113 | |
| 114 | // boost::numeric_cast<>() is used for user-provided data (protecting about overflows). |
| 115 | // static_cast<> ok for internal data (assumes that, when internal data was originally provided by a user, |
| 116 | // a boost::numeric_cast<>() handled the conversion). |
| 117 | const int nW = boost::numeric_cast<int>(newWidth); |
| 118 | const int nH = boost::numeric_cast<int>(newHeight); |
| 119 | |
| 120 | const int w = static_cast<int>(GetWidth()); |
| 121 | const int h = static_cast<int>(GetHeight()); |
| 122 | const int numChannels = static_cast<int>(GetNumChannels()); |
| 123 | |
| 124 | const int res = stbir_resize_uint8(m_Data.data(), w, h, 0, newData.data(), nW, nH, 0, numChannels); |
| 125 | if (res == 0) |
| 126 | { |
| 127 | throw InferenceTestImageResizeFailed("The resizing operation failed"); |
| 128 | } |
| 129 | |
| 130 | m_Data.swap(newData); |
| 131 | m_Width = newWidth; |
| 132 | m_Height = newHeight; |
| 133 | } |
| 134 | |
| 135 | void InferenceTestImage::Write(WriteFormat format, const char* filePath) const |
| 136 | { |
| 137 | const int w = static_cast<int>(GetWidth()); |
| 138 | const int h = static_cast<int>(GetHeight()); |
| 139 | const int numChannels = static_cast<int>(GetNumChannels()); |
| 140 | int res = 0; |
| 141 | |
| 142 | switch (format) |
| 143 | { |
| 144 | case WriteFormat::Png: |
| 145 | { |
| 146 | res = stbi_write_png(filePath, w, h, numChannels, m_Data.data(), 0); |
| 147 | break; |
| 148 | } |
| 149 | case WriteFormat::Bmp: |
| 150 | { |
| 151 | res = stbi_write_bmp(filePath, w, h, numChannels, m_Data.data()); |
| 152 | break; |
| 153 | } |
| 154 | case WriteFormat::Tga: |
| 155 | { |
| 156 | res = stbi_write_tga(filePath, w, h, numChannels, m_Data.data()); |
| 157 | break; |
| 158 | } |
| 159 | default: |
| 160 | throw InferenceTestImageWriteFailed(boost::str(boost::format("Unknown format %1%") |
| 161 | % static_cast<int>(format))); |
| 162 | } |
| 163 | |
| 164 | if (res == 0) |
| 165 | { |
| 166 | throw InferenceTestImageWriteFailed(boost::str(boost::format("An error occurred when writing to file %1%") |
| 167 | % filePath)); |
| 168 | } |
| 169 | } |
| 170 | |
| 171 | template <typename TProcessValueCallable> |
| 172 | std::vector<float> GetImageDataInArmNnLayoutAsFloats(ImageChannelLayout channelLayout, |
| 173 | const InferenceTestImage& image, |
| 174 | TProcessValueCallable processValue) |
| 175 | { |
| 176 | const unsigned int h = image.GetHeight(); |
| 177 | const unsigned int w = image.GetWidth(); |
| 178 | |
| 179 | std::vector<float> imageData; |
| 180 | imageData.resize(h * w * 3); |
| 181 | |
| 182 | for (unsigned int j = 0; j < h; ++j) |
| 183 | { |
| 184 | for (unsigned int i = 0; i < w; ++i) |
| 185 | { |
| 186 | uint8_t r, g, b; |
| 187 | std::tie(r, g, b) = image.GetPixelAs3Channels(i, j); |
| 188 | |
| 189 | // ArmNN order: C, H, W |
| 190 | const unsigned int rDstIndex = GetImageChannelIndex(channelLayout, ImageChannel::R) * h * w + j * w + i; |
| 191 | const unsigned int gDstIndex = GetImageChannelIndex(channelLayout, ImageChannel::G) * h * w + j * w + i; |
| 192 | const unsigned int bDstIndex = GetImageChannelIndex(channelLayout, ImageChannel::B) * h * w + j * w + i; |
| 193 | |
| 194 | imageData[rDstIndex] = processValue(ImageChannel::R, float(r)); |
| 195 | imageData[gDstIndex] = processValue(ImageChannel::G, float(g)); |
| 196 | imageData[bDstIndex] = processValue(ImageChannel::B, float(b)); |
| 197 | } |
| 198 | } |
| 199 | |
| 200 | return imageData; |
| 201 | } |
| 202 | |
| 203 | std::vector<float> GetImageDataInArmNnLayoutAsNormalizedFloats(ImageChannelLayout layout, |
| 204 | const InferenceTestImage& image) |
| 205 | { |
| 206 | return GetImageDataInArmNnLayoutAsFloats(layout, image, |
| 207 | [](ImageChannel channel, float value) |
| 208 | { |
| 209 | boost::ignore_unused(channel); |
| 210 | return value / 255.f; |
| 211 | }); |
| 212 | } |
| 213 | |
| 214 | std::vector<float> GetImageDataInArmNnLayoutAsFloatsSubtractingMean(ImageChannelLayout layout, |
| 215 | const InferenceTestImage& image, |
| 216 | const std::array<float, 3>& mean) |
| 217 | { |
| 218 | return GetImageDataInArmNnLayoutAsFloats(layout, image, |
| 219 | [layout, &mean](ImageChannel channel, float value) |
| 220 | { |
| 221 | const unsigned int channelIndex = GetImageChannelIndex(layout, channel); |
| 222 | return value - mean[channelIndex]; |
| 223 | }); |
| 224 | } |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 225 | |
| 226 | std::vector<float> GetImageDataAsNormalizedFloats(ImageChannelLayout layout, |
| 227 | const InferenceTestImage& image) |
| 228 | { |
| 229 | std::vector<float> imageData; |
| 230 | const unsigned int h = image.GetHeight(); |
| 231 | const unsigned int w = image.GetWidth(); |
| 232 | |
| 233 | const unsigned int rDstIndex = GetImageChannelIndex(layout, ImageChannel::R); |
| 234 | const unsigned int gDstIndex = GetImageChannelIndex(layout, ImageChannel::G); |
| 235 | const unsigned int bDstIndex = GetImageChannelIndex(layout, ImageChannel::B); |
| 236 | |
| 237 | imageData.resize(h * w * 3); |
| 238 | unsigned int offset = 0; |
| 239 | |
| 240 | for (unsigned int j = 0; j < h; ++j) |
| 241 | { |
| 242 | for (unsigned int i = 0; i < w; ++i) |
| 243 | { |
| 244 | uint8_t r, g, b; |
| 245 | std::tie(r, g, b) = image.GetPixelAs3Channels(i, j); |
| 246 | |
| 247 | imageData[offset+rDstIndex] = float(r) / 255.0f; |
| 248 | imageData[offset+gDstIndex] = float(g) / 255.0f; |
| 249 | imageData[offset+bDstIndex] = float(b) / 255.0f; |
| 250 | offset += 3; |
| 251 | } |
| 252 | } |
| 253 | |
| 254 | return imageData; |
| 255 | } |