134 lines
4.1 KiB
C++
134 lines
4.1 KiB
C++
/*
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* Created by Marcos Luciano
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* https://www.github.com/marcoslucianops
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*/
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#include "calibrator.h"
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#include <fstream>
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#include <iterator>
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Int8EntropyCalibrator2::Int8EntropyCalibrator2(const int& batchsize, const int& channels, const int& height,
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const int& width, const int& letterbox, const std::string& imgPath,
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const std::string& calibTablePath) : batchSize(batchsize), inputC(channels), inputH(height), inputW(width),
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letterBox(letterbox), calibTablePath(calibTablePath), imageIndex(0)
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{
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inputCount = batchsize * channels * height * width;
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std::fstream f(imgPath);
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if (f.is_open()) {
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std::string temp;
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while (std::getline(f, temp))
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imgPaths.push_back(temp);
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}
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batchData = new float[inputCount];
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CUDA_CHECK(cudaMalloc(&deviceInput, inputCount * sizeof(float)));
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}
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Int8EntropyCalibrator2::~Int8EntropyCalibrator2()
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{
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CUDA_CHECK(cudaFree(deviceInput));
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if (batchData)
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delete[] batchData;
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}
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int
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Int8EntropyCalibrator2::getBatchSize() const noexcept
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{
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return batchSize;
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}
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bool
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Int8EntropyCalibrator2::getBatch(void** bindings, const char** names, int nbBindings) noexcept
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{
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if (imageIndex + batchSize > uint(imgPaths.size()))
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return false;
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float* ptr = batchData;
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for (size_t i = imageIndex; i < imageIndex + batchSize; ++i) {
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cv::Mat img = cv::imread(imgPaths[i], cv::IMREAD_COLOR);
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std::vector<float> inputData = prepareImage(img, inputC, inputH, inputW, letterBox);
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int len = (int) (inputData.size());
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memcpy(ptr, inputData.data(), len * sizeof(float));
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ptr += inputData.size();
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std::cout << "Load image: " << imgPaths[i] << std::endl;
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std::cout << "Progress: " << (i + 1)*100. / imgPaths.size() << "%" << std::endl;
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}
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imageIndex += batchSize;
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CUDA_CHECK(cudaMemcpy(deviceInput, batchData, inputCount * sizeof(float), cudaMemcpyHostToDevice));
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bindings[0] = deviceInput;
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return true;
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}
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const void*
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Int8EntropyCalibrator2::readCalibrationCache(std::size_t &length) noexcept
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{
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calibrationCache.clear();
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std::ifstream input(calibTablePath, std::ios::binary);
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input >> std::noskipws;
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if (readCache && input.good())
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std::copy(std::istream_iterator<char>(input), std::istream_iterator<char>(), std::back_inserter(calibrationCache));
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length = calibrationCache.size();
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return length ? calibrationCache.data() : nullptr;
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}
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void
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Int8EntropyCalibrator2::writeCalibrationCache(const void* cache, std::size_t length) noexcept
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{
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std::ofstream output(calibTablePath, std::ios::binary);
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output.write(reinterpret_cast<const char*>(cache), length);
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}
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std::vector<float>
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prepareImage(cv::Mat& img, int input_c, int input_h, int input_w, int letter_box)
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{
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cv::Mat out;
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int image_w = img.cols;
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int image_h = img.rows;
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if (image_w != input_w || image_h != input_h) {
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if (letter_box == 1) {
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float ratio_w = (float) image_w / (float) input_w;
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float ratio_h = (float) image_h / (float) input_h;
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if (ratio_w > ratio_h) {
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int new_width = input_w * ratio_h;
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int x = (image_w - new_width) / 2;
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cv::Rect roi(abs(x), 0, new_width, image_h);
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out = img(roi);
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}
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else if (ratio_w < ratio_h) {
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int new_height = input_h * ratio_w;
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int y = (image_h - new_height) / 2;
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cv::Rect roi(0, abs(y), image_w, new_height);
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out = img(roi);
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}
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else
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out = img;
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cv::resize(out, out, cv::Size(input_w, input_h), 0, 0, cv::INTER_CUBIC);
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}
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else {
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cv::resize(img, out, cv::Size(input_w, input_h), 0, 0, cv::INTER_CUBIC);
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}
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cv::cvtColor(out, out, cv::COLOR_BGR2RGB);
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}
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else
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cv::cvtColor(img, out, cv::COLOR_BGR2RGB);
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if (input_c == 3)
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out.convertTo(out, CV_32FC3, 1.0 / 255.0);
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else
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out.convertTo(out, CV_32FC1, 1.0 / 255.0);
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std::vector<cv::Mat> input_channels(input_c);
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cv::split(out, input_channels);
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std::vector<float> result(input_h * input_w * input_c);
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auto data = result.data();
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int channelLength = input_h * input_w;
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for (int i = 0; i < input_c; ++i) {
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memcpy(data, input_channels[i].data, channelLength * sizeof(float));
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data += channelLength;
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}
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return result;
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}
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