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author | Anthony Barbier <anthony.barbier@arm.com> | 2017-09-04 18:44:23 +0100 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-09-17 13:03:09 +0100 |
commit | 6ff3b19ee6120edf015fad8caab2991faa3070af (patch) | |
tree | a7a6dcd16dfd56d79fa1b56a313caeebcc939b68 /examples/neoncl_scale_median_gaussian.cpp | |
download | ComputeLibrary-6ff3b19ee6120edf015fad8caab2991faa3070af.tar.gz |
COMPMID-344 Updated doxygen
Change-Id: I32f7b84daa560e460b77216add529c8fa8b327ae
Diffstat (limited to 'examples/neoncl_scale_median_gaussian.cpp')
-rw-r--r-- | examples/neoncl_scale_median_gaussian.cpp | 126 |
1 files changed, 126 insertions, 0 deletions
diff --git a/examples/neoncl_scale_median_gaussian.cpp b/examples/neoncl_scale_median_gaussian.cpp new file mode 100644 index 0000000000..a32ba6daf6 --- /dev/null +++ b/examples/neoncl_scale_median_gaussian.cpp @@ -0,0 +1,126 @@ +/* + * Copyright (c) 2016, 2017 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. + */ +#define ARM_COMPUTE_CL /* So that OpenCL exceptions get caught too */ +#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/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 ) + */ +void main_neoncl_scale_median_gaussian(int argc, const char **argv) +{ + /** [NEON / OpenCL Interop] */ + PPMLoader ppm; + CLImage src, scale_median, median_gauss, dst; + + 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); + + // Declare and configure the functions to create the following pipeline: scale -> median -> gauss + CLScale scale; + NEMedian3x3 median; + CLGaussian5x5 gauss; + + scale.configure(&src, &scale_median, 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); + } + + // 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(); + + // Save the result to file: + if(ppm.is_open()) + { + const std::string output_filename = std::string(argv[1]) + "_out.ppm"; + save_to_ppm(dst, output_filename); // save_to_ppm maps and unmaps the image to store as PPM + } + /** [NEON / OpenCL Interop] */ +} + +/** Main program for convolution test + * + * @param[in] argc Number of arguments + * @param[in] argv Arguments ( [optional] Path to PPM image to process ) + */ +int main(int argc, const char **argv) +{ + return utils::run_example(argc, argv, main_neoncl_scale_median_gaussian); +} |