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author | Isabella Gottardi <isabella.gottardi@arm.com> | 2018-11-16 11:26:52 +0000 |
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committer | Isabella Gottardi <isabella.gottardi@arm.com> | 2018-12-06 11:28:56 +0000 |
commit | 05e5644715c678773abaf180222a33959ee0dadb (patch) | |
tree | 6e85d2808714acd6aa475af15fcbef136be5edeb /arm_compute/runtime/CPP/functions/CPPDetectionOutputLayer.h | |
parent | 77e6c558963abfd36a632f6fe3235921f71a7a77 (diff) | |
download | ComputeLibrary-05e5644715c678773abaf180222a33959ee0dadb.tar.gz |
COMPMID-1463: SSD support: Create Detection layer
Change-Id: I8b59b9b94cbd132e1ff5157a4c59882719e12e3b
Reviewed-on: https://review.mlplatform.org/327
Reviewed-by: Anthony Barbier <Anthony.barbier@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Diffstat (limited to 'arm_compute/runtime/CPP/functions/CPPDetectionOutputLayer.h')
-rw-r--r-- | arm_compute/runtime/CPP/functions/CPPDetectionOutputLayer.h | 100 |
1 files changed, 100 insertions, 0 deletions
diff --git a/arm_compute/runtime/CPP/functions/CPPDetectionOutputLayer.h b/arm_compute/runtime/CPP/functions/CPPDetectionOutputLayer.h new file mode 100644 index 0000000000..7f80948c81 --- /dev/null +++ b/arm_compute/runtime/CPP/functions/CPPDetectionOutputLayer.h @@ -0,0 +1,100 @@ +/* + * Copyright (c) 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_CPP_DETECTION_OUTPUT_LAYER_H__ +#define __ARM_COMPUTE_CPP_DETECTION_OUTPUT_LAYER_H__ + +#include "arm_compute/runtime/CPP/ICPPSimpleFunction.h" + +#include "arm_compute/core/Types.h" + +#include <map> + +namespace arm_compute +{ +class ITensor; + +// Normalized Bounding Box [xmin, ymin, xmax, ymax] +using NormalizedBBox = std::array<float, 4>; +// LabelBBox used for map label and bounding box +using LabelBBox = std::map<int, std::vector<NormalizedBBox>>; + +/** CPP Function to generate the detection output based on location and confidence + * predictions by doing non maximum suppression. + * + * @note Intended for use with MultiBox detection method. + */ +class CPPDetectionOutputLayer : public IFunction +{ +public: + /** Default constructor */ + CPPDetectionOutputLayer(); + /** Configure the detection output layer CPP kernel + * + * @param[in] input_loc The mbox location input tensor of size [C1, N]. Data types supported: F32. + * @param[in] input_conf The mbox confidence input tensor of size [C2, N]. Data types supported: F32. + * @param[in] input_priorbox The mbox prior box input tensor of size [C3, 2, N]. Data types supported: F32. + * @param[out] output The output tensor of size [7, M]. Data types supported: Same as @p input + * @param[in] info (Optional) DetectionOutputLayerInfo information. + * + * @note Output contains all the detections. Of those, only the ones selected by the valid region are valid. + */ + void configure(const ITensor *input_loc, const ITensor *input_conf, const ITensor *input_priorbox, ITensor *output, DetectionOutputLayerInfo info = DetectionOutputLayerInfo()); + /** Static function to check if given info will lead to a valid configuration of @ref CPPDetectionOutputLayer + * + * @param[in] input_loc The mbox location input tensor info. Data types supported: F32. + * @param[in] input_conf The mbox confidence input tensor info. Data types supported: F32. + * @param[in] input_priorbox The mbox prior box input tensor info. Data types supported: F32. + * @param[in] output The output tensor info. Data types supported: Same as @p input + * @param[in] info (Optional) DetectionOutputLayerInfo information. + * + * @return a status + */ + static Status validate(const ITensorInfo *input_loc, const ITensorInfo *input_conf, const ITensorInfo *input_priorbox, const ITensorInfo *output, + DetectionOutputLayerInfo info = DetectionOutputLayerInfo()); + // Inherited methods overridden: + void run() override; + /** Prevent instances of this class from being copied (As this class contains pointers) */ + CPPDetectionOutputLayer(const CPPDetectionOutputLayer &) = delete; + /** Prevent instances of this class from being copied (As this class contains pointers) */ + CPPDetectionOutputLayer &operator=(const CPPDetectionOutputLayer &) = delete; + +private: + const ITensor *_input_loc; + const ITensor *_input_conf; + const ITensor *_input_priorbox; + ITensor *_output; + DetectionOutputLayerInfo _info; + + int _num_priors; + int _num; + + std::vector<LabelBBox> _all_location_predictions; + std::vector<std::map<int, std::vector<float>>> _all_confidence_scores; + std::vector<NormalizedBBox> _all_prior_bboxes; + std::vector<std::array<float, 4>> _all_prior_variances; + std::vector<LabelBBox> _all_decode_bboxes; + std::vector<std::map<int, std::vector<int>>> _all_indices; +}; +} // namespace arm_compute +#endif /* __ARM_COMPUTE_CPP_DETECTION_OUTPUT_LAYER_H__ */ |