aboutsummaryrefslogtreecommitdiff
path: root/arm_compute/runtime/CPP
diff options
context:
space:
mode:
authorIsabella Gottardi <isabella.gottardi@arm.com>2018-11-16 11:26:52 +0000
committerIsabella Gottardi <isabella.gottardi@arm.com>2018-12-06 11:28:56 +0000
commit05e5644715c678773abaf180222a33959ee0dadb (patch)
tree6e85d2808714acd6aa475af15fcbef136be5edeb /arm_compute/runtime/CPP
parent77e6c558963abfd36a632f6fe3235921f71a7a77 (diff)
downloadComputeLibrary-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')
-rw-r--r--arm_compute/runtime/CPP/CPPFunctions.h1
-rw-r--r--arm_compute/runtime/CPP/functions/CPPDetectionOutputLayer.h100
2 files changed, 101 insertions, 0 deletions
diff --git a/arm_compute/runtime/CPP/CPPFunctions.h b/arm_compute/runtime/CPP/CPPFunctions.h
index 9c17d9e404..63df437d11 100644
--- a/arm_compute/runtime/CPP/CPPFunctions.h
+++ b/arm_compute/runtime/CPP/CPPFunctions.h
@@ -26,6 +26,7 @@
/* Header regrouping all the CPP functions */
#include "arm_compute/runtime/CPP/functions/CPPBoxWithNonMaximaSuppressionLimit.h"
+#include "arm_compute/runtime/CPP/functions/CPPDetectionOutputLayer.h"
#include "arm_compute/runtime/CPP/functions/CPPPermute.h"
#include "arm_compute/runtime/CPP/functions/CPPUpsample.h"
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__ */