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authorAnthony Barbier <anthony.barbier@arm.com>2017-09-04 18:44:23 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-09-17 13:03:09 +0100
commit6ff3b19ee6120edf015fad8caab2991faa3070af (patch)
treea7a6dcd16dfd56d79fa1b56a313caeebcc939b68 /examples/neoncl_scale_median_gaussian.cpp
downloadComputeLibrary-6ff3b19ee6120edf015fad8caab2991faa3070af.tar.gz
COMPMID-344 Updated doxygen
Change-Id: I32f7b84daa560e460b77216add529c8fa8b327ae
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+/*
+ * 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);
+}