diff options
Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEHOGMultiDetection.h')
-rw-r--r-- | arm_compute/runtime/NEON/functions/NEHOGMultiDetection.h | 12 |
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 |