117 lines
7.1 KiB
C++
117 lines
7.1 KiB
C++
/*
|
|
* Copyright (c) 2018-2020 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_CPPBOXWITHNONMAXIMASUPPRESSIONLIMIT_H
|
|
#define ARM_COMPUTE_CPPBOXWITHNONMAXIMASUPPRESSIONLIMIT_H
|
|
|
|
#include "arm_compute/core/CPP/kernels/CPPBoxWithNonMaximaSuppressionLimitKernel.h"
|
|
#include "arm_compute/core/Types.h"
|
|
#include "arm_compute/runtime/IFunction.h"
|
|
#include "arm_compute/runtime/IMemoryManager.h"
|
|
#include "arm_compute/runtime/MemoryGroup.h"
|
|
#include "arm_compute/runtime/Tensor.h"
|
|
|
|
namespace arm_compute
|
|
{
|
|
class ITensor;
|
|
|
|
/** Basic function to run @ref CPPBoxWithNonMaximaSuppressionLimitKernel */
|
|
class CPPBoxWithNonMaximaSuppressionLimit : public IFunction
|
|
{
|
|
public:
|
|
/** Constructor */
|
|
CPPBoxWithNonMaximaSuppressionLimit(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
|
|
/** Prevent instances of this class from being copied (As this class contains pointers) */
|
|
CPPBoxWithNonMaximaSuppressionLimit(const CPPBoxWithNonMaximaSuppressionLimit &) = delete;
|
|
/** Prevent instances of this class from being copied (As this class contains pointers) */
|
|
CPPBoxWithNonMaximaSuppressionLimit &operator=(const CPPBoxWithNonMaximaSuppressionLimit &) = delete;
|
|
/** Configure the BoxWithNonMaximaSuppressionLimit CPP kernel
|
|
*
|
|
* @param[in] scores_in The scores input tensor of size [count, num_classes]. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32
|
|
* @param[in] boxes_in The boxes input tensor of size [count, num_classes * 4].
|
|
* Data types supported: QASYMM16 with 0.125 scale and 0 offset if @p scores_in is QASYMM8/QASYMM8_SIGNED, otherwise same as @p scores_in
|
|
* @param[in] batch_splits_in The batch splits input tensor of size [batch_size]. Data types supported: Same as @p scores_in
|
|
* @note Can be a nullptr. If not a nullptr, @p scores_in and @p boxes_in have items from multiple images.
|
|
* @param[out] scores_out The scores output tensor of size [N]. Data types supported: Same as @p scores_in
|
|
* @param[out] boxes_out The boxes output tensor of size [N, 4].
|
|
* Data types supported: QASYMM16 with 0.125 scale and 0 offset if @p scores_in is QASYMM8/QASYMM8_SIGNED, otherwise same as @p scores_in
|
|
* @param[out] classes The classes output tensor of size [N]. Data types supported: Same as @p scores_in
|
|
* @param[out] batch_splits_out (Optional) The batch splits output tensor. Data types supported: Same as @p scores_in
|
|
* @param[out] keeps (Optional) The keeps output tensor of size [N]. Data types supported: Same as @p scores_in
|
|
* @param[in] keeps_size (Optional) Number of filtered indices per class tensor of size [num_classes]. Data types supported: U32.
|
|
* @param[in] info (Optional) BoxNMSLimitInfo information.
|
|
*/
|
|
void configure(const ITensor *scores_in, const ITensor *boxes_in, const ITensor *batch_splits_in, ITensor *scores_out, ITensor *boxes_out, ITensor *classes,
|
|
ITensor *batch_splits_out = nullptr, ITensor *keeps = nullptr, ITensor *keeps_size = nullptr, const BoxNMSLimitInfo info = BoxNMSLimitInfo());
|
|
/** Static function to check if given info will lead to a valid configuration of @ref CPPDetectionOutputLayer
|
|
*
|
|
* @param[in] scores_in The scores input tensor of size [count, num_classes]. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32
|
|
* @param[in] boxes_in The boxes input tensor of size [count, num_classes * 4].
|
|
* Data types supported: QASYMM16 with 0.125 scale and 0 offset if @p scores_in is QASYMM8/QASYMM8_SIGNED, otherwise same as @p scores_in
|
|
* @param[in] batch_splits_in The batch splits input tensor of size [batch_size]. Data types supported: Same as @p scores_in
|
|
* @note Can be a nullptr. If not a nullptr, @p scores_in and @p boxes_in have items from multiple images.
|
|
* @param[in] scores_out The scores output tensor of size [N]. Data types supported: Same as @p scores_in
|
|
* @param[in] boxes_out The boxes output tensor of size [N, 4].
|
|
* Data types supported: QASYMM16 with 0.125 scale and 0 offset if @p scores_in is QASYMM8/QASYMM8_SIGNED, otherwise same as @p scores_in
|
|
* @param[in] classes The classes output tensor of size [N]. Data types supported: Same as @p scores_in
|
|
* @param[in] batch_splits_out (Optional) The batch splits output tensor. Data types supported: Same as @p scores_in
|
|
* @param[in] keeps (Optional) The keeps output tensor of size [N]. Data types supported: Same as @p scores_in
|
|
* @param[in] keeps_size (Optional) Number of filtered indices per class tensor of size [num_classes]. Data types supported: U32.
|
|
* @param[in] info (Optional) BoxNMSLimitInfo information.
|
|
*
|
|
* @return a status
|
|
*/
|
|
static Status validate(const ITensorInfo *scores_in, const ITensorInfo *boxes_in, const ITensorInfo *batch_splits_in, const ITensorInfo *scores_out, const ITensorInfo *boxes_out,
|
|
const ITensorInfo *classes,
|
|
const ITensorInfo *batch_splits_out = nullptr, const ITensorInfo *keeps = nullptr, const ITensorInfo *keeps_size = nullptr, const BoxNMSLimitInfo info = BoxNMSLimitInfo());
|
|
// Inherited methods overridden:
|
|
void run() override;
|
|
|
|
private:
|
|
MemoryGroup _memory_group;
|
|
|
|
CPPBoxWithNonMaximaSuppressionLimitKernel _box_with_nms_limit_kernel;
|
|
|
|
const ITensor *_scores_in;
|
|
const ITensor *_boxes_in;
|
|
const ITensor *_batch_splits_in;
|
|
ITensor *_scores_out;
|
|
ITensor *_boxes_out;
|
|
ITensor *_classes;
|
|
ITensor *_batch_splits_out;
|
|
ITensor *_keeps;
|
|
|
|
Tensor _scores_in_f32;
|
|
Tensor _boxes_in_f32;
|
|
Tensor _batch_splits_in_f32;
|
|
Tensor _scores_out_f32;
|
|
Tensor _boxes_out_f32;
|
|
Tensor _classes_f32;
|
|
Tensor _batch_splits_out_f32;
|
|
Tensor _keeps_f32;
|
|
|
|
bool _is_qasymm8;
|
|
};
|
|
} // namespace arm_compute
|
|
#endif /* ARM_COMPUTE_CPPBOXWITHNONMAXIMASUPPRESSIONLIMIT_H */
|