| /* |
| * Copyright (c) 2019-2021 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_CL_CROP_RESIZE_H |
| #define ARM_COMPUTE_CL_CROP_RESIZE_H |
| |
| #include "arm_compute/core/CL/ICLTensor.h" |
| |
| #include "arm_compute/runtime/CL/CLTensor.h" |
| #include "arm_compute/runtime/CL/functions/CLCopy.h" |
| #include "arm_compute/runtime/CL/functions/CLCrop.h" |
| #include "arm_compute/runtime/CL/functions/CLFill.h" |
| #include "arm_compute/runtime/CL/functions/CLScale.h" |
| |
| #include <cstdint> |
| #include <memory> |
| |
| namespace arm_compute |
| { |
| // Forward Declarations |
| class CLCompileContext; |
| class ITensor; |
| class ITensorInfo; |
| |
| /** Function to perform cropping and resizing */ |
| class CLCropResize : public IFunction |
| { |
| public: |
| /** Default constructor */ |
| CLCropResize(); |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| CLCropResize(const CLCropResize &) = delete; |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| CLCropResize &operator=(const CLCropResize &) = delete; |
| /** Allow instances of this class to be moved */ |
| CLCropResize(CLCropResize &&) = default; |
| /** Allow instances of this class to be moved */ |
| CLCropResize &operator=(CLCropResize &&) = default; |
| /** Default destructor */ |
| ~CLCropResize(); |
| |
| /** Configure kernel |
| * |
| * Valid data layouts: |
| * - NHWC |
| * |
| * Valid data type configurations: |
| * |src0 |src1 |src2 |dst | |
| * |:--------|:--------|:------|:--------| |
| * |All |F32 |F32 |F32 | |
| * |
| * @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: All |
| * @param[in] boxes Tensor containing the boxes used to crop the images. It has to be known before configuration. 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. It has to be known before configuration. 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 ICLTensor *input, ICLTensor *boxes, ICLTensor *box_ind, ICLTensor *output, Coordinates2D crop_size, |
| InterpolationPolicy method = InterpolationPolicy::BILINEAR, float extrapolation_value = 0); |
| /** 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] compile_context The compile context to be used. |
| * @param[in] input Source tensor containing N batches of 3D images to be cropped. Data type supported: All |
| * @param[in] boxes Tensor containing the boxes used to crop the images. It has to be known before configuration. 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. It has to be known before configuration. 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 CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *boxes, ICLTensor *box_ind, ICLTensor *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 info containing N batches of 3D images to be cropped. Data type supported: All |
| * @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, ITensorInfo *boxes, ITensorInfo *box_ind, const ITensorInfo *output, |
| Coordinates2D crop_size, InterpolationPolicy method, float extrapolation_value); |
| |
| void run() override; |
| |
| const ICLTensor *_input; |
| ICLTensor *_boxes; |
| ICLTensor *_box_ind; |
| ICLTensor *_output; |
| size_t _num_boxes; |
| InterpolationPolicy _method; |
| float _extrapolation_value; |
| |
| std::vector<std::unique_ptr<CLScale>> _scale; |
| std::vector<std::unique_ptr<CLCopy>> _copy; |
| std::vector<std::unique_ptr<CLTensor>> _crop_results; |
| std::vector<std::unique_ptr<CLTensor>> _scaled_results; |
| |
| std::vector<std::unique_ptr<IFunction>> _internal_functions; |
| }; |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_CL_CROP_RESIZE_H */ |
