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1 /*
2  * Copyright (c) 2016-2020 Arm Limited.
3  *
4  * SPDX-License-Identifier: MIT
5  *
6  * Permission is hereby granted, free of charge, to any person obtaining a copy
7  * of this software and associated documentation files (the "Software"), to
8  * deal in the Software without restriction, including without limitation the
9  * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
10  * sell copies of the Software, and to permit persons to whom the Software is
11  * furnished to do so, subject to the following conditions:
12  *
13  * The above copyright notice and this permission notice shall be included in all
14  * copies or substantial portions of the Software.
15  *
16  * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
17  * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
18  * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
19  * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
20  * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
21  * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
22  * SOFTWARE.
23  */
24 #ifndef ARM_COMPUTE_CL /* Needed by Utils.cpp to handle OpenCL exceptions properly */
25 #error "This example needs to be built with -DARM_COMPUTE_CL"
26 #endif /* ARM_COMPUTE_CL */
27 
28 #include "arm_compute/core/Types.h"
29 #include "arm_compute/runtime/CL/CLScheduler.h"
30 #include "arm_compute/runtime/CL/functions/CLGaussian5x5.h"
31 #include "arm_compute/runtime/CL/functions/CLScale.h"
32 #include "arm_compute/runtime/NEON/NEFunctions.h"
33 #include "utils/ImageLoader.h"
34 #include "utils/Utils.h"
35 
36 using namespace arm_compute;
37 using namespace utils;
38 
39 /** Example demonstrating how to use both CL and NEON functions in the same pipeline
40  *
41  * @param[in] argc Number of arguments
42  * @param[in] argv Arguments ( [optional] Path to PPM image to process )
43  */
44 class NEONCLScaleMedianGaussianExample : public Example
45 {
46 public:
do_setup(int argc,char ** argv)47     bool do_setup(int argc, char **argv) override
48     {
49         /** [NEON / OpenCL Interop] */
50         PPMLoader ppm;
51 
52         CLScheduler::get().default_init();
53 
54         if(argc < 2)
55         {
56             // Print help
57             std::cout << "Usage: ./build/cl_convolution [input_image.ppm]\n\n";
58             std::cout << "No input_image provided, creating a dummy 640x480 image\n";
59             // Create an empty grayscale 640x480 image
60             src.allocator()->init(TensorInfo(640, 480, Format::U8));
61         }
62         else
63         {
64             ppm.open(argv[1]);
65             ppm.init_image(src, Format::U8);
66         }
67 
68         TensorInfo scale_median_info(TensorInfo(src.info()->dimension(0) / 2, src.info()->dimension(1) / 2, Format::U8));
69 
70         // Configure the temporary and destination images
71         scale_median.allocator()->init(scale_median_info);
72         median_gauss.allocator()->init(scale_median_info);
73         dst.allocator()->init(scale_median_info);
74 
75         scale.configure(&src, &scale_median, ScaleKernelInfo{ InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::REPLICATE });
76         median.configure(&scale_median, &median_gauss, BorderMode::REPLICATE);
77         gauss.configure(&median_gauss, &dst, BorderMode::REPLICATE);
78 
79         // Allocate all the images
80         src.allocator()->allocate();
81         scale_median.allocator()->allocate();
82         median_gauss.allocator()->allocate();
83         dst.allocator()->allocate();
84 
85         // Fill the input image with the content of the PPM image if a filename was provided:
86         if(ppm.is_open())
87         {
88             ppm.fill_image(src);
89             const std::string output_filename = std::string(argv[1]) + "_out.ppm";
90         }
91         /** [NEON / OpenCL Interop] */
92 
93         return true;
94     }
do_run()95     void do_run() override
96     {
97         // Enqueue and flush the OpenCL kernel:
98         scale.run();
99 
100         // Do a blocking map of the input and output buffers of the NEON function:
101         scale_median.map();
102         median_gauss.map();
103 
104         // Run the NEON function:
105         median.run();
106 
107         // Unmap the output buffer before it's used again by OpenCL:
108         scale_median.unmap();
109         median_gauss.unmap();
110 
111         // Run the final OpenCL function:
112         gauss.run();
113 
114         // Make sure all the OpenCL jobs are done executing:
115         CLScheduler::get().sync();
116     }
do_teardown()117     void do_teardown() override
118     {
119         // Save the result to file:
120         if(!output_filename.empty())
121         {
122             save_to_ppm(dst, output_filename); // save_to_ppm maps and unmaps the image to store as PPM
123         }
124     }
125 
126 private:
127     CLImage       src{}, scale_median{}, median_gauss{}, dst{};
128     CLScale       scale{};
129     NEMedian3x3   median{};
130     CLGaussian5x5 gauss{};
131     std::string   output_filename{};
132 };
133 
134 /** Main program for neon/cl scale median gaussian test
135  *
136  * @param[in] argc Number of arguments
137  * @param[in] argv Arguments ( [optional] Path to PPM image to process )
138  */
main(int argc,char ** argv)139 int main(int argc, char **argv)
140 {
141     return utils::run_example<NEONCLScaleMedianGaussianExample>(argc, argv);
142 }
143