1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
|
/*
* Copyright (c) 2016, 2017 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_NEHISTOGRAMKERNEL_H__
#define __ARM_COMPUTE_NEHISTOGRAMKERNEL_H__
#include "arm_compute/core/NEON/INEKernel.h"
#include <cstddef>
#include <cstdint>
#include <mutex>
namespace arm_compute
{
class IDistribution1D;
class ITensor;
using IImage = ITensor;
/** Interface for the histogram kernel */
class NEHistogramKernel : public INEKernel
{
public:
/** Default constructor */
NEHistogramKernel();
/** Default destructor */
~NEHistogramKernel() = default;
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEHistogramKernel(const NEHistogramKernel &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEHistogramKernel &operator=(const NEHistogramKernel &) = delete;
/** Allow instances of this class to be moved */
NEHistogramKernel(NEHistogramKernel &&) = default;
/** Allow instances of this class to be moved */
NEHistogramKernel &operator=(NEHistogramKernel &&) = default;
/** Set the input image and the distribution output.
*
* @param[in] input Source image. Data type supported: U8.
* @param[out] output Destination distribution.
* @param[in,out] local_hist Array that the threads use to save their local histograms.
* It's size should be equal to (number_of_threads * num_bins),
* and the Window::thread_id() is used to determine the part of the array
* used by each thread.
* @param[out] window_lut LUT with pre-calculated possible window values.
* The size of the LUT should be equal to max_range_size and it will be filled
* during the configure stage, while it re-used in every run, therefore can be
* safely shared among threads.
*/
void configure(const IImage *input, IDistribution1D *output, uint32_t *local_hist, uint32_t *window_lut);
/** Set the input image and the distribution output.
*
* @note Used for histogram of fixed size equal to 256
*
* @param[in] input Source image. Data type supported: U8.
* @param[out] output Destination distribution which must be of 256 bins..
*/
void configure(const IImage *input, IDistribution1D *output);
// Inherited methods overridden:
void run(const Window &window) override;
private:
/** Function to merge multiple partial histograms.
*
* @param[out] global_hist Pointer to the final histogram.
* @param[in] local_hist Pointer to the partial histograms.
* @param[in] bins Number of bins.
*/
void merge_histogram(uint32_t *global_hist, const uint32_t *local_hist, size_t bins);
/** Function to merge multiple minimum values of partial histograms.
*
* @param[out] global_min Pointer to the global min value.
* @param[in] local_min Local min value.
*/
void merge_min(uint8_t *global_min, const uint8_t &local_min);
/** Function to perform histogram on the given window
*
* @param[in] win Region on which to execute the kernel
*/
void histogram_U8(Window win);
/** Function to perform histogram on the given window where histogram is
* of fixed size 256 without ranges and offsets.
*
* @param[in] win Region on which to execute the kernel
*/
void histogram_fixed_U8(Window win);
/** Pre-calculate the pixel windowing for every possible pixel
*
* Calculate (V - offset) * numBins / range where V is every possible pixel value.
*
* @note We currently support U8 image thus possible pixel values are between 0 and 255
*/
void calculate_window_lut() const;
/** Common signature for all the specialised Histogram functions
*
* @param[in] window Region on which to execute the kernel.
*/
using HistogramFunctionPtr = void (NEHistogramKernel::*)(Window window);
HistogramFunctionPtr _func; ///< Histogram function to use for the particular image types passed to configure()
const IImage *_input;
IDistribution1D *_output;
uint32_t *_local_hist;
uint32_t *_window_lut;
std::mutex _hist_mtx;
static constexpr unsigned int _max_range_size{ 256 }; ///< 256 possible pixel values as we handle only U8 images
};
}
#endif /*__ARM_COMPUTE_NEHISTOGRAMKERNEL_H__ */
|
