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Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEHOGMultiDetection.h')
-rw-r--r--arm_compute/runtime/NEON/functions/NEHOGMultiDetection.h12
1 files changed, 10 insertions, 2 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEHOGMultiDetection.h b/arm_compute/runtime/NEON/functions/NEHOGMultiDetection.h
index ff64afb119..0fb3edd490 100644
--- a/arm_compute/runtime/NEON/functions/NEHOGMultiDetection.h
+++ b/arm_compute/runtime/NEON/functions/NEHOGMultiDetection.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2016-2019 Arm Limited.
+ * Copyright (c) 2016-2020 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -27,7 +27,6 @@
#include "arm_compute/core/CPP/kernels/CPPDetectionWindowNonMaximaSuppressionKernel.h"
#include "arm_compute/core/IArray.h"
#include "arm_compute/core/IMultiHOG.h"
-#include "arm_compute/core/NEON/kernels/NEHOGDescriptorKernel.h"
#include "arm_compute/runtime/IFunction.h"
#include "arm_compute/runtime/IMemoryManager.h"
#include "arm_compute/runtime/MemoryGroup.h"
@@ -39,6 +38,9 @@
namespace arm_compute
{
+class NEHOGOrientationBinningKernel;
+class NEHOGBlockNormalizationKernel;
+
/** Basic function to detect multiple objects (or the same object at different scales) on the same input image using HOG. This function calls the following NEON kernels:
*
* -# @ref NEHOGGradient
@@ -60,8 +62,14 @@ public:
NEHOGMultiDetection(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEHOGMultiDetection(const NEHOGMultiDetection &) = delete;
+ /** Default move constructor */
+ NEHOGMultiDetection(NEHOGMultiDetection &&) = default;
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEHOGMultiDetection &operator=(const NEHOGMultiDetection &) = delete;
+ /** Default move assignment operator */
+ NEHOGMultiDetection &operator=(NEHOGMultiDetection &&) = default;
+ /** Default destructor */
+ ~NEHOGMultiDetection();
/** Initialise the function's source, destination, detection window strides, border mode, threshold and non-maxima suppression
*
* @param[in, out] input Input tensor. Data type supported: U8