cnstream/source/common/preprocess/preprocess_yolov3.cpp

/*************************************************************************
 * Copyright (C) [2019] by Cambricon, Inc. All rights reserved
 *
 *  Licensed under the Apache License, Version 2.0 (the "License");
 *  you may not use this file except in compliance with the License.
 *  You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * 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 <algorithm>
#include <memory>
#include <vector>

#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#if (CV_MAJOR_VERSION >= 3)
#include "opencv2/imgcodecs/imgcodecs.hpp"
#endif

#include "cnstream_frame_va.hpp"
#include "preproc.hpp"
#include "cnstream_logging.hpp"

class PreprocYolov3 : public cnstream::Preproc {
 public:
  int Execute(const std::vector<float*>& net_inputs, const std::shared_ptr<edk::ModelLoader>& model,
              const std::shared_ptr<cnstream::CNFrameInfo>& package) {
    // check params
    auto input_shape = model->InputShape(0);
    if (net_inputs.size() != 1 || input_shape.C() != 3) {
      LOGE(DEMO) << "[PreprocCpu] model input shape not supported";
      return -1;
    }
    cnstream::CNDataFramePtr frame = package->collection.Get<cnstream::CNDataFramePtr>(cnstream::kCNDataFrameTag);

    int width = frame->width;
    int height = frame->height;
    int dst_w = input_shape.W();
    int dst_h = input_shape.H();
    cv::Mat img = frame->ImageBGR();
    // resize
    if (height != dst_h || width != dst_w) {
      cv::Mat dst(dst_h, dst_w, CV_8UC3, cv::Scalar(128, 128, 128));
      const float scaling_factors = std::min(1.0 * dst_w / width, 1.0 * dst_h / height);
      cv::Mat resized(height * scaling_factors, width * scaling_factors, CV_8UC3);
      cv::resize(img, resized, cv::Size(resized.cols, resized.rows));
      cv::Rect roi;
      roi.x = (dst.cols - resized.cols) / 2;
      roi.y = (dst.rows - resized.rows) / 2;
      roi.width = resized.cols;
      roi.height = resized.rows;

      resized.copyTo(dst(roi));
      img = dst;
    }

    // since model input data type is float, convert image to float
    cv::Mat dst(dst_h, dst_w, CV_32FC3, net_inputs[0]);
    img.convertTo(dst, CV_32F);
    return 0;
  }

 private:
  DECLARE_REFLEX_OBJECT_EX(PreprocYolov3, cnstream::Preproc);
};  // class PreprocYolov3

IMPLEMENT_REFLEX_OBJECT_EX(PreprocYolov3, cnstream::Preproc);