arm_compute v18.01
Change-Id: I9bfa178c2e38bfd5fc812e62aab6760d87748e05
diff --git a/examples/neon_scale.cpp b/examples/neon_scale.cpp
index 75780c9..bec277d 100644
--- a/examples/neon_scale.cpp
+++ b/examples/neon_scale.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2016, 2017 ARM Limited.
+ * Copyright (c) 2016, 2018 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -29,62 +29,75 @@
using namespace arm_compute;
using namespace utils;
-void main_neon_scale(int argc, const char **argv)
+class NEONScaleExample : public Example
{
- PPMLoader ppm;
- Image src, dst;
+public:
+ void 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));
+ 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, InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED);
+
+ // 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";
+ }
}
- else
+ void do_run() override
{
- ppm.open(argv[1]);
- ppm.init_image(src, Format::U8);
+ // 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
+ }
}
- 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);
-
- // Create and initialize a Scale function object:
- NEScale scale;
- scale.configure(&src, &dst, InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED);
-
- // 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);
- }
-
- // Run the scale operation:
- scale.run();
-
- // 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);
- }
-}
+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, const char **argv)
+int main(int argc, char **argv)
{
- return utils::run_example(argc, argv, main_neon_scale);
+ return utils::run_example<NEONScaleExample>(argc, argv);
}