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/*
* 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.
*/
#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/NEON/NEFunctions.h"
#include "utils/ImageLoader.h"
#include "utils/Utils.h"
using namespace arm_compute;
using namespace utils;
class NEONScaleExample : public Example
{
public:
bool do_setup(int argc, char **argv) override
{
PPMLoader ppm;
if (argc < 2)
{
// Print help
std::cout << "Usage: ./build/neon_scale[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);
}
constexpr int scale_factor = 2;
TensorInfo dst_tensor_info(src.info()->dimension(0) / scale_factor, src.info()->dimension(1) / scale_factor,
Format::U8);
// Configure the destination image
dst.allocator()->init(dst_tensor_info);
// Configure Scale function object:
scale.configure(&src, &dst,
ScaleKernelInfo{InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, PixelValue(),
SamplingPolicy::CENTER, false});
// Allocate all the images
src.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);
output_filename = std::string(argv[1]) + "_out.ppm";
}
return true;
}
void do_run() override
{
// Run the scale operation:
scale.run();
}
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:
Image src{}, dst{};
NEScale scale{};
std::string output_filename{};
};
/** 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, char **argv)
{
return utils::run_example<NEONScaleExample>(argc, argv);
}
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