This repository was archived by the owner on Apr 29, 2024. It is now read-only.
Repository navigation
Expand file tree
/
Copy paththreshold.cpp
More file actions
115 lines (95 loc) · 3.62 KB
/
Copy paththreshold.cpp
File metadata and controls
115 lines (95 loc) · 3.62 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
// This file is part of VisionCPP, a lightweight C++ template library
// for computer vision and image processing.
//
// Copyright (C) 2016 Codeplay Software Limited. All Rights Reserved.
//
// Contact: [email protected]
//
// 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 threhsold.cc
///
/// ---------Example---------
/// Threshold
///
/// \brief This example implements a binary threshold
///
/// \param threshold - threshold value whose range is [0..1]
///
// include OpenCV for camera display
#include <opencv2/opencv.hpp>
// include VisionCpp
#include <visioncpp.hpp>
// main program
int main(int argc, char **argv) {
cv::VideoCapture cap(0); // open the default camera
if (!cap.isOpened()) { // check if we succeeded
std::cout << "Opening Camera Failed." << std::endl;
return -1;
}
// selecting device using sycl as backend
auto dev = visioncpp::make_device<visioncpp::backend::sycl,
visioncpp::device::cpu>();
// defining size constants
constexpr size_t COLS = 640;
constexpr size_t ROWS = 480;
// initializing output pointer
std::shared_ptr<uchar> output(new uchar[COLS * ROWS],
[](uchar *dataMem) { delete[] dataMem; });
// initializing input and output image
cv::Mat input;
cv::Mat outImage(ROWS, COLS, CV_8UC1, output.get());
// threshold parameter
constexpr float threshold{0.5f};
for (;;) {
// Starting building the tree (use {} during the creation of the tree)
{
// read frame
cap.read(input);
// resize image to the desirable size
cv::resize(input, input, cv::Size(COLS, ROWS), 0, 0, cv::INTER_CUBIC);
auto in_node =
visioncpp::terminal<visioncpp::pixel::U8C3, COLS, ROWS,
visioncpp::memory_type::Buffer2D>(input.data);
auto out_node =
visioncpp::terminal<visioncpp::pixel::U8C1, COLS, ROWS,
visioncpp::memory_type::Buffer2D>(output.get());
// convert to Float
auto frgb =
visioncpp::point_operation<visioncpp::OP_U8C3ToF32C3>(in_node);
// convert to grey
auto fgrey = visioncpp::point_operation<visioncpp::OP_RGBToGREY>(frgb);
// apply the threshold
auto thresh_node =
visioncpp::terminal<float, visioncpp::memory_type::Const>(
static_cast<float>(threshold));
auto thresh =
visioncpp::point_operation<visioncpp::OP_Thresh>(fgrey, thresh_node);
// scale threshold to display
auto scale_node =
visioncpp::terminal<float, visioncpp::memory_type::Const>(
static_cast<float>(255.0f));
auto urgb =
visioncpp::point_operation<visioncpp::OP_Scale>(thresh, scale_node);
// assign to the host memory
auto k = visioncpp::assign(out_node, urgb);
// execute
visioncpp::execute<visioncpp::policy::Fuse, 32, 32, 16, 16>(k, dev);
}
// display results
cv::imshow("Reference Image", input);
cv::imshow("Threshold", outImage);
// wait for key to finalize program
if (cv::waitKey(1) >= 0) break;
}
return 0;
}