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/*
* Copyright (c) 2017-2019 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/CL/CLArray.h"
#include "arm_compute/runtime/CL/CLTensor.h"
#include "arm_compute/runtime/CL/CLTensorAllocator.h"
#include "arm_compute/runtime/CL/functions/CLHarrisCorners.h"
#include "tests/CL/CLAccessor.h"
#include "tests/CL/CLArrayAccessor.h"
#include "tests/PaddingCalculator.h"
#include "tests/datasets/BorderModeDataset.h"
#include "tests/datasets/ImageFileDatasets.h"
#include "tests/datasets/ShapeDatasets.h"
#include "tests/framework/Asserts.h"
#include "tests/framework/Macros.h"
#include "tests/framework/datasets/Datasets.h"
#include "tests/validation/Validation.h"
#include "tests/validation/fixtures/HarrisCornersFixture.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
namespace
{
const auto data_nightly = combine(framework::dataset::make("GradientSize", { 3, 5, 7 }), combine(framework::dataset::make("BlockSize", { 3, 5, 7 }), datasets::BorderModes()));
const auto data_precommit = combine(framework::dataset::make("GradientSize", { 3 }), combine(framework::dataset::make("BlockSize", { 3 }), datasets::BorderModes()));
} // namespace
TEST_SUITE(CL)
TEST_SUITE(HarrisCorners)
DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::Small2DShapes(), data_nightly), framework::dataset::make("Format", Format::U8)), shape,
gradient_size, block_size, border_mode, format)
{
std::mt19937 gen(library->seed());
std::uniform_real_distribution<float> real_dist(0.f, 0.01f);
const float threshold = real_dist(gen);
const float sensitivity = real_dist(gen);
constexpr float max_euclidean_distance = 30.f;
real_dist = std::uniform_real_distribution<float>(0.f, max_euclidean_distance);
const float min_dist = real_dist(gen);
// Generate a random constant value
std::uniform_int_distribution<uint8_t> int_dist(0, 255);
const uint8_t constant_border_value = int_dist(gen);
// Create tensors
CLTensor src = create_tensor<CLTensor>(shape, data_type_from_format(format));
src.info()->set_format(format);
CLKeyPointArray corners;
ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
// Create harris corners configure function
CLHarrisCorners harris_corners;
harris_corners.configure(&src, threshold, min_dist, sensitivity, gradient_size, block_size, &corners, border_mode, constant_border_value);
// Validate padding
PaddingCalculator calculator(shape.x(), 8);
calculator.set_border_mode(border_mode);
calculator.set_border_size(gradient_size / 2);
calculator.set_access_offset(-gradient_size / 2);
calculator.set_accessed_elements(16);
const PaddingSize padding = calculator.required_padding();
validate(src.info()->padding(), padding);
}
template <typename T>
using CLHarrisCornersFixture = HarrisCornersValidationFixture<CLTensor, CLAccessor, CLKeyPointArray, CLHarrisCorners, T>;
FIXTURE_DATA_TEST_CASE(RunSmall, CLHarrisCornersFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallImageFiles(), data_precommit), framework::dataset::make("Format",
Format::U8)))
{
// Validate output
CLArrayAccessor<KeyPoint> array(_target);
validate_keypoints(array.buffer(), array.buffer() + array.num_values(), _reference.begin(), _reference.end(), RelativeTolerance<float>(0.0001f));
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLHarrisCornersFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeImageFiles(), data_nightly), framework::dataset::make("Format",
Format::U8)))
{
// Validate output
CLArrayAccessor<KeyPoint> array(_target);
validate_keypoints(array.buffer(), array.buffer() + array.num_values(), _reference.begin(), _reference.end(), RelativeTolerance<float>(0.0001f));
}
TEST_SUITE_END()
TEST_SUITE_END()
} // namespace validation
} // namespace test
} // namespace arm_compute
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