| /* |
| * 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_NEGENERATEPROPOSALSLAYER_H |
| #define ARM_COMPUTE_NEGENERATEPROPOSALSLAYER_H |
| |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/runtime/CPP/CPPScheduler.h" |
| #include "arm_compute/runtime/CPP/functions/CPPBoxWithNonMaximaSuppressionLimit.h" |
| #include "arm_compute/runtime/IFunction.h" |
| #include "arm_compute/runtime/MemoryGroup.h" |
| #include "arm_compute/runtime/NEON/functions/NEBoundingBoxTransform.h" |
| #include "arm_compute/runtime/NEON/functions/NEDequantizationLayer.h" |
| #include "arm_compute/runtime/NEON/functions/NEPadLayer.h" |
| #include "arm_compute/runtime/NEON/functions/NEPermute.h" |
| #include "arm_compute/runtime/NEON/functions/NEQuantizationLayer.h" |
| #include "arm_compute/runtime/NEON/functions/NEReshapeLayer.h" |
| #include "arm_compute/runtime/Tensor.h" |
| |
| namespace arm_compute |
| { |
| class ITensor; |
| class NEComputeAllAnchorsKernel; |
| |
| /** Basic function to generate proposals for a RPN (Region Proposal Network) |
| * |
| * This function calls the following Arm(R) Neon(TM) layers/kernels: |
| * -# @ref NEComputeAllAnchorsKernel |
| * -# @ref NEPermute x 2 |
| * -# @ref NEReshapeLayer x 2 |
| * -# @ref NEBoundingBoxTransform |
| * -# @ref NEPadLayerKernel |
| * -# @ref NEDequantizationLayer x 2 |
| * -# @ref NEQuantizationLayer |
| * And the following CPP kernels: |
| * -# @ref CPPBoxWithNonMaximaSuppressionLimit |
| */ |
| class NEGenerateProposalsLayer : public IFunction |
| { |
| public: |
| /** Default constructor |
| * |
| * @param[in] memory_manager (Optional) Memory manager. |
| */ |
| NEGenerateProposalsLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr); |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| NEGenerateProposalsLayer(const NEGenerateProposalsLayer &) = delete; |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| NEGenerateProposalsLayer &operator=(const NEGenerateProposalsLayer &) = delete; |
| /** Default destructor */ |
| ~NEGenerateProposalsLayer(); |
| |
| /** Set the input and output tensors. |
| * |
| * @param[in] scores Scores from convolution layer of size (W, H, A), where H and W are the height and width of the feature map, and A is the number of anchors. |
| * Data types supported: QASYMM8/F16/F32 |
| * @param[in] deltas Bounding box deltas from convolution layer of size (W, H, 4*A). Data types supported: Same as @p scores |
| * @param[in] anchors Anchors tensor of size (4, A). Data types supported: QSYMM16 with scale of 0.125 if @p scores is QASYMM8, otherwise same as @p scores |
| * @param[out] proposals Box proposals output tensor of size (5, W*H*A). |
| * Data types supported: QASYMM16 with scale of 0.125 and 0 offset if @p scores is QASYMM8, otherwise same as @p scores |
| * @param[out] scores_out Box scores output tensor of size (W*H*A). Data types supported: Same as @p input |
| * @param[out] num_valid_proposals Scalar output tensor which says which of the first proposals are valid. Data types supported: U32 |
| * @param[in] info Contains GenerateProposals operation information described in @ref GenerateProposalsInfo |
| * |
| * @note Only single image prediction is supported. Height and Width (and scale) of the image will be contained in the @ref GenerateProposalsInfo struct. |
| * @note Proposals contains all the proposals. Of those, only the first num_valid_proposals are valid. |
| */ |
| void configure(const ITensor *scores, const ITensor *deltas, const ITensor *anchors, ITensor *proposals, ITensor *scores_out, ITensor *num_valid_proposals, |
| const GenerateProposalsInfo &info); |
| |
| /** Static function to check if given info will lead to a valid configuration of @ref NEGenerateProposalsLayer |
| * |
| * @param[in] scores Scores info from convolution layer of size (W, H, A), where H and W are the height and width of the feature map, and A is the number of anchors. |
| * Data types supported: QASYMM8/F16/F32 |
| * @param[in] deltas Bounding box deltas info from convolution layer of size (W, H, 4*A). Data types supported: Same as @p scores |
| * @param[in] anchors Anchors tensor info of size (4, A). Data types supported: QSYMM16 with scale of 0.125 if @p scores is QASYMM8, otherwise same as @p scores |
| * @param[in] proposals Box proposals info output tensor of size (5, W*H*A). |
| * Data types supported: QASYMM16 with scale of 0.125 and 0 offset if @p scores is QASYMM8, otherwise same as @p scores |
| * @param[in] scores_out Box scores output tensor info of size (W*H*A). Data types supported: Same as @p input |
| * @param[in] num_valid_proposals Scalar output tensor info which says which of the first proposals are valid. Data types supported: U32 |
| * @param[in] info Contains GenerateProposals operation information described in @ref GenerateProposalsInfo |
| * |
| * @return a Status |
| */ |
| static Status validate(const ITensorInfo *scores, const ITensorInfo *deltas, const ITensorInfo *anchors, const ITensorInfo *proposals, const ITensorInfo *scores_out, |
| const ITensorInfo *num_valid_proposals, |
| const GenerateProposalsInfo &info); |
| |
| // Inherited methods overridden: |
| void run() override; |
| |
| private: |
| // Memory group manager |
| MemoryGroup _memory_group; |
| |
| // kernels/layers |
| NEPermute _permute_deltas; |
| NEReshapeLayer _flatten_deltas; |
| NEPermute _permute_scores; |
| NEReshapeLayer _flatten_scores; |
| std::unique_ptr<NEComputeAllAnchorsKernel> _compute_anchors; |
| NEBoundingBoxTransform _bounding_box; |
| NEPadLayer _pad; |
| NEDequantizationLayer _dequantize_anchors; |
| NEDequantizationLayer _dequantize_deltas; |
| NEQuantizationLayer _quantize_all_proposals; |
| |
| // CPP functions |
| CPPBoxWithNonMaximaSuppressionLimit _cpp_nms; |
| |
| bool _is_nhwc; |
| bool _is_qasymm8; |
| |
| // Temporary tensors |
| Tensor _deltas_permuted; |
| Tensor _deltas_flattened; |
| Tensor _deltas_flattened_f32; |
| Tensor _scores_permuted; |
| Tensor _scores_flattened; |
| Tensor _all_anchors; |
| Tensor _all_anchors_f32; |
| Tensor _all_proposals; |
| Tensor _all_proposals_quantized; |
| Tensor _keeps_nms_unused; |
| Tensor _classes_nms_unused; |
| Tensor _proposals_4_roi_values; |
| |
| // Temporary tensor pointers |
| Tensor *_all_proposals_to_use; |
| |
| // Output tensor pointers |
| ITensor *_num_valid_proposals; |
| ITensor *_scores_out; |
| }; |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_NEGENERATEPROPOSALSLAYER_H */ |