133 lines
4.8 KiB
C++
133 lines
4.8 KiB
C++
/*
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* Copyright (c) 2017-2020 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#ifndef ARM_COMPUTE_CL /* Needed by Utils.cpp to handle OpenCL exceptions properly */
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#error "This example needs to be built with -DARM_COMPUTE_CL"
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#endif /* ARM_COMPUTE_CL */
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#include "arm_compute/core/Types.h"
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#include "arm_compute/runtime/CL/CLScheduler.h"
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#include "arm_compute/runtime/CL/functions/CLGaussian5x5.h"
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#include "arm_compute/runtime/CL/functions/CLMedian3x3.h"
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#include "arm_compute/runtime/CL/functions/CLScale.h"
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#include "utils/ImageLoader.h"
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#include "utils/Utils.h"
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using namespace arm_compute;
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using namespace utils;
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class CLEventsExample : public Example
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{
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public:
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bool do_setup(int argc, char **argv) override
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{
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/** [OpenCL events] **/
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PPMLoader ppm;
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constexpr int scale_factor = 2;
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CLScheduler::get().default_init();
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if(argc < 2)
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{
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// Print help
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std::cout << "Usage: ./build/cl_events [input_image.ppm]\n\n";
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std::cout << "No input_image provided, creating a dummy 640x480 image\n";
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// Create an empty grayscale 640x480 image
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src.allocator()->init(TensorInfo(640, 480, Format::U8));
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}
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else
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{
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ppm.open(argv[1]);
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ppm.init_image(src, Format::U8);
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}
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TensorInfo dst_info(src.info()->dimension(0) / scale_factor, src.info()->dimension(1) / scale_factor, Format::U8);
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// Configure the temporary and destination images
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dst.allocator()->init(dst_info);
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tmp_scale_median.allocator()->init(dst_info);
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tmp_median_gauss.allocator()->init(dst_info);
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//Configure the functions:
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scale.configure(&src, &tmp_scale_median, ScaleKernelInfo{ InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::REPLICATE });
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median.configure(&tmp_scale_median, &tmp_median_gauss, BorderMode::REPLICATE);
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gauss.configure(&tmp_median_gauss, &dst, BorderMode::REPLICATE);
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// Allocate all the images
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src.allocator()->allocate();
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dst.allocator()->allocate();
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tmp_scale_median.allocator()->allocate();
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tmp_median_gauss.allocator()->allocate();
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// Fill the input image with the content of the PPM image if a filename was provided:
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if(ppm.is_open())
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{
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ppm.fill_image(src);
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output_filename = std::string(argv[1]) + "_out.ppm";
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}
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/** [OpenCL events] **/
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return true;
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}
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void do_run() override
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{
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// Enqueue and flush the scale OpenCL kernel:
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scale.run();
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// Create a synchronisation event between scale and median:
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cl::Event scale_event = CLScheduler::get().enqueue_sync_event();
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// Enqueue and flush the median OpenCL kernel:
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median.run();
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// Enqueue and flush the Gaussian OpenCL kernel:
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gauss.run();
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//Make sure all the OpenCL jobs are done executing:
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scale_event.wait(); // Block until Scale is done executing (Median3x3 and Gaussian5x5 might still be running)
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CLScheduler::get().sync(); // Block until Gaussian5x5 is done executing
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}
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void do_teardown() override
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{
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// Save the result to file:
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if(!output_filename.empty())
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{
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save_to_ppm(dst, output_filename); // save_to_ppm maps and unmaps the image to store as PPM
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}
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}
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private:
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CLImage src{}, tmp_scale_median{}, tmp_median_gauss{}, dst{};
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CLScale scale{};
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CLMedian3x3 median{};
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CLGaussian5x5 gauss{};
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std::string output_filename{};
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};
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/** Main program for convolution test
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*
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* @param[in] argc Number of arguments
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* @param[in] argv Arguments ( [optional] Path to PPM image to process )
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*/
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int main(int argc, char **argv)
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{
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return utils::run_example<CLEventsExample>(argc, argv);
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}
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