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
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
|
/*
* Copyright (c) 2016-2020 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.
*/
#ifndef ARM_COMPUTE_CL /* Needed by Utils.cpp to handle OpenCL exceptions properly */
#error "This example needs to be built with -DARM_COMPUTE_CL"
#endif /* ARM_COMPUTE_CL */
#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/CL/CLFunctions.h"
#include "arm_compute/runtime/CL/CLScheduler.h"
#include "arm_compute/runtime/NEON/NEFunctions.h"
#include "utils/ImageLoader.h"
#include "utils/Utils.h"
using namespace arm_compute;
using namespace utils;
/** Example demonstrating how to use both CL and NEON functions in the same pipeline
*
* @param[in] argc Number of arguments
* @param[in] argv Arguments ( [optional] Path to PPM image to process )
*/
class NEONCLScaleMedianGaussianExample : public Example
{
public:
bool do_setup(int argc, char **argv) override
{
/** [NEON / OpenCL Interop] */
PPMLoader ppm;
CLScheduler::get().default_init();
if(argc < 2)
{
// Print help
std::cout << "Usage: ./build/cl_convolution [input_image.ppm]\n\n";
std::cout << "No input_image provided, creating a dummy 640x480 image\n";
// Create an empty grayscale 640x480 image
src.allocator()->init(TensorInfo(640, 480, Format::U8));
}
else
{
ppm.open(argv[1]);
ppm.init_image(src, Format::U8);
}
TensorInfo scale_median_info(TensorInfo(src.info()->dimension(0) / 2, src.info()->dimension(1) / 2, Format::U8));
// Configure the temporary and destination images
scale_median.allocator()->init(scale_median_info);
median_gauss.allocator()->init(scale_median_info);
dst.allocator()->init(scale_median_info);
scale.configure(&src, &scale_median, ScaleKernelInfo{ InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::REPLICATE });
median.configure(&scale_median, &median_gauss, BorderMode::REPLICATE);
gauss.configure(&median_gauss, &dst, BorderMode::REPLICATE);
// Allocate all the images
src.allocator()->allocate();
scale_median.allocator()->allocate();
median_gauss.allocator()->allocate();
dst.allocator()->allocate();
// Fill the input image with the content of the PPM image if a filename was provided:
if(ppm.is_open())
{
ppm.fill_image(src);
const std::string output_filename = std::string(argv[1]) + "_out.ppm";
}
/** [NEON / OpenCL Interop] */
return true;
}
void do_run() override
{
// Enqueue and flush the OpenCL kernel:
scale.run();
// Do a blocking map of the input and output buffers of the NEON function:
scale_median.map();
median_gauss.map();
// Run the NEON function:
median.run();
// Unmap the output buffer before it's used again by OpenCL:
scale_median.unmap();
median_gauss.unmap();
// Run the final OpenCL function:
gauss.run();
// Make sure all the OpenCL jobs are done executing:
CLScheduler::get().sync();
}
void do_teardown() override
{
// Save the result to file:
if(!output_filename.empty())
{
save_to_ppm(dst, output_filename); // save_to_ppm maps and unmaps the image to store as PPM
}
}
private:
CLImage src{}, scale_median{}, median_gauss{}, dst{};
CLScale scale{};
NEMedian3x3 median{};
CLGaussian5x5 gauss{};
std::string output_filename{};
};
/** Main program for neon/cl scale median gaussian test
*
* @param[in] argc Number of arguments
* @param[in] argv Arguments ( [optional] Path to PPM image to process )
*/
int main(int argc, char **argv)
{
return utils::run_example<NEONCLScaleMedianGaussianExample>(argc, argv);
}
|
