| /* |
| * Copyright (c) 2017-2018 ARM Limited. |
| * |
| * SPDX-License-Identifier: MIT |
| * |
| * Permission is hereby granted, free of charge, to any person obtaining a copy |
| * of this software and associated documentation files (the "Software"), to |
| * deal in the Software without restriction, including without limitation the |
| * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| * sell copies of the Software, and to permit persons to whom the Software is |
| * furnished to do so, subject to the following conditions: |
| * |
| * The above copyright notice and this permission notice shall be included in all |
| * copies or substantial portions of the Software. |
| * |
| * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| * SOFTWARE. |
| */ |
| #include "tests/AssetsLibrary.h" |
| |
| #include "Utils.h" |
| #include "utils/TypePrinter.h" |
| |
| #include "arm_compute/core/ITensor.h" |
| |
| #include <cctype> |
| #include <fstream> |
| #include <limits> |
| #include <map> |
| #include <mutex> |
| #include <sstream> |
| #include <stdexcept> |
| #include <tuple> |
| #include <unordered_map> |
| #include <utility> |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace |
| { |
| template <typename T, typename std::enable_if<std::is_integral<T>::value, int>::type = 0> |
| void rgb_to_luminance(const RawTensor &src, RawTensor &dst) |
| { |
| // Ensure in/out tensors have same image dimensions (independent of element size and number of channels) |
| ARM_COMPUTE_ERROR_ON_MSG(src.num_elements() != dst.num_elements(), "Input and output images must have equal dimensions"); |
| |
| const size_t num_elements = dst.num_elements(); |
| |
| // Currently, input is always RGB888 (3 U8 channels per element). Output can be U8, U16/S16 or U32 |
| // Note that src.data()[i] returns pointer to first channel of element[i], so RGB values have [0,1,2] offsets |
| for(size_t i = 0, j = 0; j < num_elements; i += 3, ++j) |
| { |
| reinterpret_cast<T *>(dst.data())[j] = 0.2126f * src.data()[i] + 0.7152f * src.data()[i + 1] + 0.0722f * src.data()[i + 2]; |
| } |
| } |
| |
| void extract_r_from_rgb(const RawTensor &src, RawTensor &dst) |
| { |
| ARM_COMPUTE_ERROR_ON(src.size() != 3 * dst.size()); |
| |
| const size_t num_elements = dst.num_elements(); |
| |
| for(size_t i = 0, j = 0; j < num_elements; i += 3, ++j) |
| { |
| dst.data()[j] = src.data()[i]; |
| } |
| } |
| |
| void extract_g_from_rgb(const RawTensor &src, RawTensor &dst) |
| { |
| ARM_COMPUTE_ERROR_ON(src.size() != 3 * dst.size()); |
| |
| const size_t num_elements = dst.num_elements(); |
| |
| for(size_t i = 1, j = 0; j < num_elements; i += 3, ++j) |
| { |
| dst.data()[j] = src.data()[i]; |
| } |
| } |
| |
| void extract_b_from_rgb(const RawTensor &src, RawTensor &dst) |
| { |
| ARM_COMPUTE_ERROR_ON(src.size() != 3 * dst.size()); |
| |
| const size_t num_elements = dst.num_elements(); |
| |
| for(size_t i = 2, j = 0; j < num_elements; i += 3, ++j) |
| { |
| dst.data()[j] = src.data()[i]; |
| } |
| } |
| |
| void discard_comments(std::ifstream &fs) |
| { |
| while(fs.peek() == '#') |
| { |
| fs.ignore(std::numeric_limits<std::streamsize>::max(), '\n'); |
| } |
| } |
| |
| void discard_comments_and_spaces(std::ifstream &fs) |
| { |
| while(true) |
| { |
| discard_comments(fs); |
| |
| if(isspace(fs.peek()) == 0) |
| { |
| break; |
| } |
| |
| fs.ignore(1); |
| } |
| } |
| |
| std::tuple<unsigned int, unsigned int, int> parse_netpbm_format_header(std::ifstream &fs, char number) |
| { |
| // check file type magic number is valid |
| std::array<char, 2> magic_number{ { 0 } }; |
| fs >> magic_number[0] >> magic_number[1]; |
| |
| if(magic_number[0] != 'P' || magic_number[1] != number) |
| { |
| throw std::runtime_error("File type magic number not supported"); |
| } |
| |
| discard_comments_and_spaces(fs); |
| |
| unsigned int width = 0; |
| fs >> width; |
| |
| discard_comments_and_spaces(fs); |
| |
| unsigned int height = 0; |
| fs >> height; |
| |
| discard_comments_and_spaces(fs); |
| |
| int max_value = 0; |
| fs >> max_value; |
| |
| if(!fs.good()) |
| { |
| throw std::runtime_error("Cannot read image dimensions"); |
| } |
| |
| if(max_value != 255) |
| { |
| throw std::runtime_error("RawTensor doesn't have 8-bit values"); |
| } |
| |
| discard_comments(fs); |
| |
| if(isspace(fs.peek()) == 0) |
| { |
| throw std::runtime_error("Invalid image header"); |
| } |
| |
| fs.ignore(1); |
| |
| return std::make_tuple(width, height, max_value); |
| } |
| |
| std::tuple<unsigned int, unsigned int, int> parse_ppm_header(std::ifstream &fs) |
| { |
| return parse_netpbm_format_header(fs, '6'); |
| } |
| |
| std::tuple<unsigned int, unsigned int, int> parse_pgm_header(std::ifstream &fs) |
| { |
| return parse_netpbm_format_header(fs, '5'); |
| } |
| |
| void check_image_size(std::ifstream &fs, size_t raw_size) |
| { |
| const size_t current_position = fs.tellg(); |
| fs.seekg(0, std::ios_base::end); |
| const size_t end_position = fs.tellg(); |
| fs.seekg(current_position, std::ios_base::beg); |
| |
| if((end_position - current_position) < raw_size) |
| { |
| throw std::runtime_error("Not enough data in file"); |
| } |
| } |
| |
| void read_image_buffer(std::ifstream &fs, RawTensor &raw) |
| { |
| fs.read(reinterpret_cast<std::fstream::char_type *>(raw.data()), raw.size()); |
| |
| if(!fs.good()) |
| { |
| throw std::runtime_error("Failure while reading image buffer"); |
| } |
| } |
| |
| RawTensor load_ppm(const std::string &path) |
| { |
| std::ifstream file(path, std::ios::in | std::ios::binary); |
| |
| if(!file.good()) |
| { |
| throw framework::FileNotFound("Could not load PPM image: " + path); |
| } |
| |
| unsigned int width = 0; |
| unsigned int height = 0; |
| |
| std::tie(width, height, std::ignore) = parse_ppm_header(file); |
| |
| RawTensor raw(TensorShape(width, height), Format::RGB888); |
| |
| check_image_size(file, raw.size()); |
| read_image_buffer(file, raw); |
| |
| return raw; |
| } |
| |
| RawTensor load_pgm(const std::string &path) |
| { |
| std::ifstream file(path, std::ios::in | std::ios::binary); |
| |
| if(!file.good()) |
| { |
| throw framework::FileNotFound("Could not load PGM image: " + path); |
| } |
| |
| unsigned int width = 0; |
| unsigned int height = 0; |
| |
| std::tie(width, height, std::ignore) = parse_pgm_header(file); |
| |
| RawTensor raw(TensorShape(width, height), Format::U8); |
| |
| check_image_size(file, raw.size()); |
| read_image_buffer(file, raw); |
| |
| return raw; |
| } |
| } // namespace |
| |
| AssetsLibrary::AssetsLibrary(std::string path, std::random_device::result_type seed) //NOLINT |
| : _library_path(std::move(path)), |
| _seed{ seed } |
| { |
| } |
| |
| std::string AssetsLibrary::path() const |
| { |
| return _library_path; |
| } |
| |
| std::random_device::result_type AssetsLibrary::seed() const |
| { |
| return _seed; |
| } |
| |
| void AssetsLibrary::fill(RawTensor &raw, const std::string &name, Format format) const |
| { |
| //FIXME: Should be done by swapping cached buffers |
| const RawTensor &src = get(name, format); |
| std::copy_n(src.data(), raw.size(), raw.data()); |
| } |
| |
| void AssetsLibrary::fill(RawTensor &raw, const std::string &name, Channel channel) const |
| { |
| fill(raw, name, get_format_for_channel(channel), channel); |
| } |
| |
| void AssetsLibrary::fill(RawTensor &raw, const std::string &name, Format format, Channel channel) const |
| { |
| const RawTensor &src = get(name, format, channel); |
| std::copy_n(src.data(), raw.size(), raw.data()); |
| } |
| |
| const AssetsLibrary::Loader &AssetsLibrary::get_loader(const std::string &extension) const |
| { |
| static std::unordered_map<std::string, Loader> loaders = |
| { |
| { "ppm", load_ppm }, |
| { "pgm", load_pgm } |
| }; |
| |
| const auto it = loaders.find(extension); |
| |
| if(it != loaders.end()) |
| { |
| return it->second; |
| } |
| else |
| { |
| throw std::invalid_argument("Cannot load image with extension '" + extension + "'"); |
| } |
| } |
| |
| const AssetsLibrary::Converter &AssetsLibrary::get_converter(Format src, Format dst) const |
| { |
| static std::map<std::pair<Format, Format>, Converter> converters = |
| { |
| { std::make_pair(Format::RGB888, Format::U8), rgb_to_luminance<uint8_t> }, |
| { std::make_pair(Format::RGB888, Format::U16), rgb_to_luminance<uint16_t> }, |
| { std::make_pair(Format::RGB888, Format::S16), rgb_to_luminance<int16_t> }, |
| { std::make_pair(Format::RGB888, Format::U32), rgb_to_luminance<uint32_t> } |
| }; |
| |
| const auto it = converters.find(std::make_pair(src, dst)); |
| |
| if(it != converters.end()) |
| { |
| return it->second; |
| } |
| else |
| { |
| std::stringstream msg; |
| msg << "Cannot convert from format '" << src << "' to format '" << dst << "'\n"; |
| throw std::invalid_argument(msg.str()); |
| } |
| } |
| |
| const AssetsLibrary::Converter &AssetsLibrary::get_converter(DataType src, Format dst) const |
| { |
| static std::map<std::pair<DataType, Format>, Converter> converters = {}; |
| |
| const auto it = converters.find(std::make_pair(src, dst)); |
| |
| if(it != converters.end()) |
| { |
| return it->second; |
| } |
| else |
| { |
| std::stringstream msg; |
| msg << "Cannot convert from data type '" << src << "' to format '" << dst << "'\n"; |
| throw std::invalid_argument(msg.str()); |
| } |
| } |
| |
| const AssetsLibrary::Converter &AssetsLibrary::get_converter(DataType src, DataType dst) const |
| { |
| static std::map<std::pair<DataType, DataType>, Converter> converters = {}; |
| |
| const auto it = converters.find(std::make_pair(src, dst)); |
| |
| if(it != converters.end()) |
| { |
| return it->second; |
| } |
| else |
| { |
| std::stringstream msg; |
| msg << "Cannot convert from data type '" << src << "' to data type '" << dst << "'\n"; |
| throw std::invalid_argument(msg.str()); |
| } |
| } |
| |
| const AssetsLibrary::Converter &AssetsLibrary::get_converter(Format src, DataType dst) const |
| { |
| static std::map<std::pair<Format, DataType>, Converter> converters = {}; |
| |
| const auto it = converters.find(std::make_pair(src, dst)); |
| |
| if(it != converters.end()) |
| { |
| return it->second; |
| } |
| else |
| { |
| std::stringstream msg; |
| msg << "Cannot convert from format '" << src << "' to data type '" << dst << "'\n"; |
| throw std::invalid_argument(msg.str()); |
| } |
| } |
| |
| const AssetsLibrary::Extractor &AssetsLibrary::get_extractor(Format format, Channel channel) const |
| { |
| static std::map<std::pair<Format, Channel>, Extractor> extractors = |
| { |
| { std::make_pair(Format::RGB888, Channel::R), extract_r_from_rgb }, |
| { std::make_pair(Format::RGB888, Channel::G), extract_g_from_rgb }, |
| { std::make_pair(Format::RGB888, Channel::B), extract_b_from_rgb } |
| }; |
| |
| const auto it = extractors.find(std::make_pair(format, channel)); |
| |
| if(it != extractors.end()) |
| { |
| return it->second; |
| } |
| else |
| { |
| std::stringstream msg; |
| msg << "Cannot extract channel '" << channel << "' from format '" << format << "'\n"; |
| throw std::invalid_argument(msg.str()); |
| } |
| } |
| |
| RawTensor AssetsLibrary::load_image(const std::string &name) const |
| { |
| #ifdef _WIN32 |
| const std::string image_path = ("\\images\\"); |
| #else /* _WIN32 */ |
| const std::string image_path = ("/images/"); |
| #endif /* _WIN32 */ |
| |
| const std::string path = _library_path + image_path + name; |
| const std::string extension = path.substr(path.find_last_of('.') + 1); |
| return (*get_loader(extension))(path); |
| } |
| |
| const RawTensor &AssetsLibrary::find_or_create_raw_tensor(const std::string &name, Format format) const |
| { |
| std::lock_guard<arm_compute::Mutex> guard(_format_lock); |
| |
| const RawTensor *ptr = _cache.find(std::forward_as_tuple(name, format)); |
| |
| if(ptr != nullptr) |
| { |
| return *ptr; |
| } |
| |
| RawTensor raw = load_image(name); |
| |
| if(raw.format() != format) |
| { |
| //FIXME: Remove unnecessary copy |
| RawTensor dst(raw.shape(), format); |
| (*get_converter(raw.format(), format))(raw, dst); |
| raw = std::move(dst); |
| } |
| |
| return _cache.add(std::forward_as_tuple(name, format), std::move(raw)); |
| } |
| |
| const RawTensor &AssetsLibrary::find_or_create_raw_tensor(const std::string &name, Format format, Channel channel) const |
| { |
| std::lock_guard<arm_compute::Mutex> guard(_channel_lock); |
| |
| const RawTensor *ptr = _cache.find(std::forward_as_tuple(name, format, channel)); |
| |
| if(ptr != nullptr) |
| { |
| return *ptr; |
| } |
| |
| const RawTensor &src = get(name, format); |
| //FIXME: Need to change shape to match channel |
| RawTensor dst(src.shape(), get_channel_format(channel)); |
| |
| (*get_extractor(format, channel))(src, dst); |
| |
| return _cache.add(std::forward_as_tuple(name, format, channel), std::move(dst)); |
| } |
| |
| TensorShape AssetsLibrary::get_image_shape(const std::string &name) |
| { |
| return load_image(name).shape(); |
| } |
| |
| const RawTensor &AssetsLibrary::get(const std::string &name) const |
| { |
| //FIXME: Format should be derived from the image name. Not be fixed to RGB. |
| return find_or_create_raw_tensor(name, Format::RGB888); |
| } |
| |
| RawTensor AssetsLibrary::get(const std::string &name) |
| { |
| //FIXME: Format should be derived from the image name. Not be fixed to RGB. |
| return RawTensor(find_or_create_raw_tensor(name, Format::RGB888)); |
| } |
| |
| RawTensor AssetsLibrary::get(const std::string &name, DataType data_type, int num_channels) const |
| { |
| const RawTensor &raw = get(name); |
| |
| return RawTensor(raw.shape(), data_type, num_channels); |
| } |
| |
| const RawTensor &AssetsLibrary::get(const std::string &name, Format format) const |
| { |
| return find_or_create_raw_tensor(name, format); |
| } |
| |
| RawTensor AssetsLibrary::get(const std::string &name, Format format) |
| { |
| return RawTensor(find_or_create_raw_tensor(name, format)); |
| } |
| |
| const RawTensor &AssetsLibrary::get(const std::string &name, Channel channel) const |
| { |
| return get(name, get_format_for_channel(channel), channel); |
| } |
| |
| RawTensor AssetsLibrary::get(const std::string &name, Channel channel) |
| { |
| return RawTensor(get(name, get_format_for_channel(channel), channel)); |
| } |
| |
| const RawTensor &AssetsLibrary::get(const std::string &name, Format format, Channel channel) const |
| { |
| return find_or_create_raw_tensor(name, format, channel); |
| } |
| |
| RawTensor AssetsLibrary::get(const std::string &name, Format format, Channel channel) |
| { |
| return RawTensor(find_or_create_raw_tensor(name, format, channel)); |
| } |
| } // namespace test |
| } // namespace arm_compute |