visioncpp/examples/pyramid.cpp at master · codeplaysoftware/visioncpp · GitHub

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// This file is part of VisionCpp, a lightweight C++ template library

// for computer vision and image processing.

// Contact: visioncpp@codeplay.com

// 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

// Unless required by applicable law or agreed to in writing, software

// distributed under the License is distributed on an "AS IS" BASIS,

// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

// See the License for the specific language governing permissions and

// limitations under the License.

/// \file pyramid.cc

///

/// -------Example--------

/// Pyramid Example

///

/// \brief this example shows how pyramid node works.

///

#ifdef NOT_COMPATIBLE_WITH_COMPUTECPP_050

// include OpenCV for camera display

#include <opencv2/opencv.hpp>

// include VisionCpp

#include <visioncpp.hpp>

using namespace visioncpp;

int main(int argc, char **argv) {

// open video or camera

cv::VideoCapture cap;

if (argc == 1) {

cap.open(0);

std::cout << "To use video" << std::endl;

std::cout << "example>: ./example path/to/video.avi" << std::endl;

} else if (argc > 1) {

cap.open(argv[1]);

}

// check if we succeeded

if (!cap.isOpened()) {

std::cout << "Opening Camera/Video Failed." << std::endl;

return -1;

}

constexpr size_t COLS = 640;

constexpr size_t ROWS = 480;

// where VisionCpp will run.

auto dev = visioncpp::make_device<visioncpp::backend::sycl,

visioncpp::device::cpu>();

// create a container for downsampled ( lvl1 ) pyramid

std::shared_ptr<unsigned char> img_vcpp_lv1(

new unsigned char[COLS / 2 * ROWS / 2 * 3],

[](unsigned char *dataMem) { delete[] dataMem; });

std::shared_ptr<unsigned char> img_vcpp_lv2(

new unsigned char[COLS / 4 * ROWS / 4],

[](unsigned char *dataMem) { delete[] dataMem; });

// filter for pyramid; change it to whatever you want

float filter_array[3] = {1.0f / 3.0f, 1.0f / 3.0f, 1.0f / 3.0f};

// create opencv mat

cv::Mat frame;

cv::Mat output_lvl1(ROWS / 2, COLS / 2, CV_8UC3, img_vcpp_lv1.get());

cv::Mat output_lvl2(ROWS / 4, COLS / 4, CV_8UC1, img_vcpp_lv2.get());

for (;;) {

// read frame

cap.read(frame);

// check if image was loaded

if (!frame.data) {

break;

}

// resize image to the desirable size

cv::resize(frame, frame, cv::Size(COLS, ROWS), 0, 0, cv::INTER_CUBIC);

{

// define the VisionCpp pipe

// pyramid tree creation

// column-wise filter for separable convolution in pyramid

auto filter_col =

terminal<float, 3, 1, memory_type::Buffer2D, scope::Constant>(

filter_array);

// row-wise filter for separable convolution in pyramid

auto filter_row =

terminal<float, 1, 3, memory_type::Buffer2D, scope::Constant>(

filter_array);

// define the VisionCpp pipe

// input node ( terminal )

auto data_in =

terminal<visioncpp::pixel::U8C3, COLS, ROWS, memory_type::Buffer2D>(

frame.data);

auto pyr_node =

pyramid_down<OP_SepFilterCol, OP_SepFilterRow, OP_DownsampleClosest,

2>(data_in, filter_col, filter_row);

// does HSV on downsampled ( lvl 1 ) pyramid

// create output node

auto data_out_lvl1 =

visioncpp::terminal<visioncpp::pixel::U8C3, COLS / 2, ROWS / 2,

visioncpp::memory_type::Buffer2D>(

img_vcpp_lv1.get());

// get pyramid ( U8C3 ) and convert it to F32C3

auto node_hsv = visioncpp::point_operation<visioncpp::OP_U8C3ToF32C3>(

pyr_node.get<0>());

// convert RGB to HSV

auto node2_hsv =

visioncpp::point_operation<visioncpp::OP_RGBToHSV>(node_hsv);

// F32C3 to U8C3 with order of BGR

auto node3_hsv =

visioncpp::point_operation<visioncpp::OP_HSVToU8C3>(node2_hsv);

// assign operation

auto hsv_node = visioncpp::assign(data_out_lvl1, node3_hsv);

// lets do GREY on downsampled ( lvl 2 ) pyramid

// create output node

auto data_out_lvl2 =

visioncpp::terminal<visioncpp::pixel::U8C1, COLS / 4, ROWS / 4,

visioncpp::memory_type::Buffer2D>(

img_vcpp_lv2.get());

// get pyramid ( U8C3 ) and convert it to F32C3

auto node_grey = visioncpp::point_operation<visioncpp::OP_U8C3ToF32C3>(

pyr_node.get<1>());

// convert RGB to GREY

auto node2_grey =

visioncpp::point_operation<visioncpp::OP_RGBToGREY>(node_grey);

auto node3_grey =

visioncpp::point_operation<visioncpp::OP_GREYToCVBGR>(node2_grey);

// assign operation

auto grey_node = visioncpp::assign(data_out_lvl2, node3_grey);

// execute the pipe

// next the hsv

visioncpp::execute<visioncpp::policy::Fuse, 32, 32, 16, 16>(hsv_node,

dev);

// next the grey

visioncpp::execute<visioncpp::policy::Fuse, 32, 32, 16, 16>(grey_node,

dev);

}

// show reference image

cv::imshow("Reference Image", frame);

// show pyramid level 1 image

cv::imshow("Pyramid lvl 1: HSV", output_lvl1);

// show pyramid level 2 image

cv::imshow("Pyramid lvl 2: Greyscale", output_lvl2);

// esc?

if (cv::waitKey(1) >= 0)

break;

}

// release video/camera

cap.release();

return 0;

}

#endif

visioncpp/examples/pyramid.cpp at master · codeplaysoftware/visioncpp · GitHub

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