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/*
* Copyright (c) 2018 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.
*/
#ifndef ARM_COMPUTE_TEST_OPTICAL_FLOW_FIXTURE
#define ARM_COMPUTE_TEST_OPTICAL_FLOW_FIXTURE
#include "arm_compute/core/TensorShape.h"
#include "arm_compute/core/Types.h"
#include "tests/Globals.h"
#include "tests/Types.h"
#include "tests/Utils.h"
#include "tests/framework/Fixture.h"
namespace arm_compute
{
namespace test
{
namespace benchmark
{
template <typename TensorType,
typename Function,
typename Accessor,
typename ArrayType,
typename ArrayAccessor,
typename PyramidType,
typename PyramidFunctionType>
class OpticalFlowFixture : public framework::Fixture
{
public:
template <typename...>
void setup(std::string old_image_name, std::string new_image_name, OpticalFlowParameters params,
size_t num_levels, size_t num_keypoints, Format format, BorderMode border_mode)
{
const uint8_t constant_border_value = 0;
const std::random_device::result_type seed = 0;
// Create keypoints
old_keypoints = generate_random_keypoints(library->get_image_shape(old_image_name), num_keypoints, seed, num_levels);
new_keypoints_estimates = old_keypoints;
// Create tensors
old_image = create_tensor<TensorType>(library->get_image_shape(old_image_name), format);
new_image = create_tensor<TensorType>(library->get_image_shape(new_image_name), format);
// Load keypoints
fill_array(ArrayAccessor(old_points), old_keypoints);
fill_array(ArrayAccessor(new_points_estimates), new_keypoints_estimates);
// Create pyramid images
PyramidInfo pyramid_info(num_levels, SCALE_PYRAMID_HALF, old_image.info()->tensor_shape(), format);
old_pyramid = create_pyramid<PyramidType>(pyramid_info);
new_pyramid = create_pyramid<PyramidType>(pyramid_info);
// Create and configure pyramid functions
old_gaussian_pyramid_func.configure(&old_image, &old_pyramid, border_mode, constant_border_value);
new_gaussian_pyramid_func.configure(&new_image, &new_pyramid, border_mode, constant_border_value);
optical_flow_func.configure(&old_pyramid,
&new_pyramid,
&old_points,
&new_points_estimates,
&new_points,
params.termination,
params.epsilon,
params.num_iterations,
params.window_dimension,
params.use_initial_estimate,
border_mode,
constant_border_value);
// Allocate input tensors
old_image.allocator()->allocate();
new_image.allocator()->allocate();
// Allocate pyramids
old_pyramid.allocate();
new_pyramid.allocate();
// Copy image data to tensors
library->fill(Accessor(old_image), old_image_name, format);
library->fill(Accessor(new_image), new_image_name, format);
// Compute gaussian pyramids
old_gaussian_pyramid_func.run();
new_gaussian_pyramid_func.run();
}
void run()
{
optical_flow_func.run();
}
void sync()
{
sync_if_necessary<TensorType>();
}
void teardown()
{
old_image.allocator()->free();
new_image.allocator()->free();
}
private:
static const size_t max_keypoints = 10000;
std::vector<KeyPoint> old_keypoints{};
std::vector<KeyPoint> new_keypoints_estimates{};
TensorType old_image{};
TensorType new_image{};
ArrayType old_points{ max_keypoints };
ArrayType new_points{ max_keypoints };
ArrayType new_points_estimates{ max_keypoints };
PyramidType old_pyramid{};
PyramidType new_pyramid{};
PyramidFunctionType old_gaussian_pyramid_func{};
PyramidFunctionType new_gaussian_pyramid_func{};
Function optical_flow_func{};
};
} // namespace benchmark
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_OPTICAL_FLOW_FIXTURE */
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