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/*
* Copyright (c) 2017-2018 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_HARRIS_CORNERS_FIXTURE
#define ARM_COMPUTE_TEST_HARRIS_CORNERS_FIXTURE
#include "arm_compute/core/TensorShape.h"
#include "arm_compute/core/Types.h"
#include "tests/AssetsLibrary.h"
#include "tests/Globals.h"
#include "tests/framework/Asserts.h"
#include "tests/framework/Fixture.h"
#include "tests/validation/Helpers.h"
#include "tests/validation/reference/HarrisCornerDetector.h"
namespace arm_compute
{
class CLHarrisCorners;
class NEHarrisCorners;
namespace test
{
namespace validation
{
template <typename TensorType, typename AccessorType, typename ArrayType, typename FunctionType, typename T>
class HarrisCornersValidationFixture : public framework::Fixture
{
public:
template <typename...>
void setup(std::string image, int gradient_size, int block_size, BorderMode border_mode, Format format)
{
HarrisCornersParameters params = harris_corners_parameters();
_target = compute_target(image, gradient_size, block_size, border_mode, format, params);
_reference = compute_reference(image, gradient_size, block_size, border_mode, format, params);
}
protected:
template <typename U>
void fill(U &&tensor, RawTensor raw)
{
library->fill(tensor, raw);
}
ArrayType compute_target(std::string image, int gradient_size, int block_size, BorderMode border_mode, Format format, const HarrisCornersParameters ¶ms)
{
// Load the image (cached by the library if loaded before)
const RawTensor &raw = library->get(image, format);
// Create tensors
TensorType src = create_tensor<TensorType>(raw.shape(), format);
// Create array of keypoints
ArrayType corners(raw.shape().total_size());
// Create harris corners configure function
FunctionType harris_corners;
harris_corners.configure(&src, params.threshold, params.min_dist, params.sensitivity, gradient_size, block_size, &corners, border_mode, params.constant_border_value);
ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
// Allocate tensors
src.allocator()->allocate();
ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
// Fill tensors
fill(AccessorType(src), raw);
// Compute function
harris_corners.run();
return corners;
}
std::vector<KeyPoint> compute_reference(std::string image, int gradient_size, int block_size, BorderMode border_mode, Format format, const HarrisCornersParameters ¶ms)
{
// Load the image (cached by the library if loaded before)
const RawTensor &raw = library->get(image, format);
// Create reference
SimpleTensor<T> src{ raw.shape(), format };
// Fill reference
fill(src, raw);
return reference::harris_corner_detector<T>(src, params.threshold, params.min_dist, params.sensitivity, gradient_size, block_size, border_mode, params.constant_border_value);
}
ArrayType _target{};
std::vector<KeyPoint> _reference{};
};
} // namespace validation
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_HARRIS_CORNERS_FIXTURE */
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