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/*
* Copyright (c) 2019-2020 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_NEON_CROP_RESIZE_H
#define ARM_COMPUTE_NEON_CROP_RESIZE_H
#include "arm_compute/core/NEON/kernels/NECropKernel.h"
#include "arm_compute/runtime/NEON/functions/NEScale.h"
#include <memory>
namespace arm_compute
{
// Forward Declarations
class ITensor;
/** Function to perform cropping and resizing */
class NECropResize : public IFunction
{
public:
/** Default constructor */
NECropResize();
/** Prevent instances of this class from being copied (As this class contains pointers) */
NECropResize(const NECropResize &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
NECropResize &operator=(const NECropResize &) = delete;
/** Allow instances of this class to be moved */
NECropResize(NECropResize &&) = default;
/** Allow instances of this class to be moved */
NECropResize &operator=(NECropResize &&) = default;
/** Default destructor */
virtual ~NECropResize() = default;
/** Configure kernel
*
* @note Supported tensor rank: up to 4
* @note Box indices may be outside of the bounds, in which case @p extrapolation_value is used.
* @note Start and end indices of boxes are inclusive.
*
* @param[in] input Source tensor containing N batches of 3D images to be cropped. Data type supported: U8/U16/S16/U32/S32/F16/F32
* @param[in] boxes Tensor containing the boxes used to crop the images. Data type supported: F32
* @param[in] box_ind One dimensional tensor containing the batch index of the 3D image in @p input that the corresponding
* box in @p boxes will be applied to. Data type supported: F32
* @param[out] output Destination tensor containing a cropped and resized image for each box in @p boxes. Data type supported: F32
* @param[in] crop_size The dimensions that each cropped image will be resized to.
* @param[in] method The policy to be used when resizing image. Default is bilinear.
* @param[in] extrapolation_value Value to be used for values outside of the image for cropping and resizing. Default is 0.
*/
void configure(const ITensor *input, const ITensor *boxes, const ITensor *box_ind, ITensor *output, Coordinates2D crop_size,
InterpolationPolicy method = InterpolationPolicy::BILINEAR, float extrapolation_value = 0);
/** Static function to check if given info will lead to a valid configuration of @ref NESlice
*
* @note Supported tensor rank: up to 4
* @note Box indices may be outside of the bounds, in which case @p extrapolation_value is used.
* @note Start and end indices of boxes are inclusive.
*
* @param[in] input Source tensor containing N batches of 3D images to be cropped. Data type supported: U8/U16/S16/U32/S32/F16/F32
* @param[in] boxes Tensor info for the tensor containing the boxes used to crop the images. Data type supported: F32
* @param[in] box_ind Tensor info for the one dimensional tensor containing the batch index of the 3D image in @p input
* that the corresponding box in @p boxes will be applied to. Data type supported: F32
* @param[in] output Tensor info for the destination tensor containing a cropped and resized image for each box in @p boxes.
* Data type supported: F32
* @param[in] crop_size The dimensions that each cropped image will be resized to.
* @param[in] method The policy to be used when resizing image. Default is bilinear.
* @param[in] extrapolation_value Value to be used for values outside of the image for cropping and resizing. Default is 0.
*
* @return A status
*/
static Status validate(const ITensorInfo *input, const ITensorInfo *boxes, const ITensorInfo *box_ind, const ITensorInfo *output,
Coordinates2D crop_size, InterpolationPolicy method, float extrapolation_value);
void run() override;
ITensor *_output;
size_t _num_boxes;
InterpolationPolicy _method;
float _extrapolation_value;
std::vector<std::unique_ptr<NECropKernel>> _crop;
std::vector<std::unique_ptr<NEScale>> _scale;
std::vector<std::unique_ptr<Tensor>> _crop_results;
std::vector<std::unique_ptr<Tensor>> _scaled_results;
};
} // namespace arm_compute
#endif /* ARM_COMPUTE_NEON_CROP_RESIZE_H */
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