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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_TYPES_H__
#define __ARM_COMPUTE_TEST_TYPES_H__
#include "arm_compute/core/Types.h"
#include <vector>
namespace arm_compute
{
/** Gradient dimension type. */
enum class GradientDimension
{
GRAD_X, /**< x gradient dimension */
GRAD_Y, /**< y gradient dimension */
GRAD_XY, /**< x and y gradient dimension */
};
/** Min and max values and locations */
template <typename MinMaxType>
struct MinMaxLocationValues
{
MinMaxType min{}; /**< Min value */
MinMaxType max{}; /**< Max value */
std::vector<Coordinates2D> min_loc{}; /**< Min value location */
std::vector<Coordinates2D> max_loc{}; /**< Max value location */
};
/** Parameters of Optical Flow algorithm. */
struct OpticalFlowParameters
{
OpticalFlowParameters(Termination termination,
float epsilon,
size_t num_iterations,
size_t window_dimension,
bool use_initial_estimate)
: termination{ std::move(termination) },
epsilon{ std::move(epsilon) },
num_iterations{ std::move(num_iterations) },
window_dimension{ std::move(window_dimension) },
use_initial_estimate{ std::move(use_initial_estimate) }
{
}
Termination termination;
float epsilon;
size_t num_iterations;
size_t window_dimension;
bool use_initial_estimate;
};
/** Internal keypoint class for Lucas-Kanade Optical Flow */
struct InternalKeyPoint
{
float x{ 0.f }; /**< x coordinate of the keypoint */
float y{ 0.f }; /**< y coordinate of the keypoint */
bool tracking_status{ false }; /**< the tracking status of the keypoint */
};
} // namespace arm_compute
#endif /* __ARM_COMPUTE_TEST_TYPES_H__ */
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