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
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
|
/*
* Copyright 2011-2017 Blender Foundation
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
CCL_NAMESPACE_BEGIN
#define ccl_get_feature(buffer, pass) (buffer)[(pass)*pass_stride]
/* Loop over the pixels in the range [low.x, high.x) x [low.y, high.y).+ * pixel_buffer always
* points to the current pixel in the first pass. Repeat the loop for every secondary frame if
* there are any. */
#define FOR_PIXEL_WINDOW \
for (int frame = 0; frame < tile_info->num_frames; frame++) { \
pixel.z = tile_info->frames[frame]; \
pixel_buffer = buffer + (low.y - rect.y) * buffer_w + (low.x - rect.x) + \
frame * frame_stride; \
for (pixel.y = low.y; pixel.y < high.y; pixel.y++) { \
for (pixel.x = low.x; pixel.x < high.x; pixel.x++, pixel_buffer++) {
#define END_FOR_PIXEL_WINDOW \
} \
pixel_buffer += buffer_w - (high.x - low.x); \
} \
}
ccl_device_inline void filter_get_features(int3 pixel,
const ccl_global float *ccl_restrict buffer,
float *features,
bool use_time,
const float *ccl_restrict mean,
int pass_stride)
{
features[0] = pixel.x;
features[1] = pixel.y;
features[2] = fabsf(ccl_get_feature(buffer, 0));
features[3] = ccl_get_feature(buffer, 1);
features[4] = ccl_get_feature(buffer, 2);
features[5] = ccl_get_feature(buffer, 3);
features[6] = ccl_get_feature(buffer, 4);
features[7] = ccl_get_feature(buffer, 5);
features[8] = ccl_get_feature(buffer, 6);
features[9] = ccl_get_feature(buffer, 7);
if (use_time) {
features[10] = pixel.z;
}
if (mean) {
for (int i = 0; i < (use_time ? 11 : 10); i++) {
features[i] -= mean[i];
}
}
}
ccl_device_inline void filter_get_feature_scales(int3 pixel,
const ccl_global float *ccl_restrict buffer,
float *scales,
bool use_time,
const float *ccl_restrict mean,
int pass_stride)
{
scales[0] = fabsf(pixel.x - mean[0]);
scales[1] = fabsf(pixel.y - mean[1]);
scales[2] = fabsf(fabsf(ccl_get_feature(buffer, 0)) - mean[2]);
scales[3] = len_squared(make_float3(ccl_get_feature(buffer, 1) - mean[3],
ccl_get_feature(buffer, 2) - mean[4],
ccl_get_feature(buffer, 3) - mean[5]));
scales[4] = fabsf(ccl_get_feature(buffer, 4) - mean[6]);
scales[5] = len_squared(make_float3(ccl_get_feature(buffer, 5) - mean[7],
ccl_get_feature(buffer, 6) - mean[8],
ccl_get_feature(buffer, 7) - mean[9]));
if (use_time) {
scales[6] = fabsf(pixel.z - mean[10]);
}
}
ccl_device_inline void filter_calculate_scale(float *scale, bool use_time)
{
scale[0] = 1.0f / max(scale[0], 0.01f);
scale[1] = 1.0f / max(scale[1], 0.01f);
scale[2] = 1.0f / max(scale[2], 0.01f);
if (use_time) {
scale[10] = 1.0f / max(scale[6], 0.01f);
}
scale[6] = 1.0f / max(scale[4], 0.01f);
scale[7] = scale[8] = scale[9] = 1.0f / max(sqrtf(scale[5]), 0.01f);
scale[3] = scale[4] = scale[5] = 1.0f / max(sqrtf(scale[3]), 0.01f);
}
ccl_device_inline float3 filter_get_color(const ccl_global float *ccl_restrict buffer,
int pass_stride)
{
return make_float3(
ccl_get_feature(buffer, 8), ccl_get_feature(buffer, 9), ccl_get_feature(buffer, 10));
}
ccl_device_inline void design_row_add(float *design_row,
int rank,
const ccl_global float *ccl_restrict transform,
int stride,
int row,
float feature,
int transform_row_stride)
{
for (int i = 0; i < rank; i++) {
design_row[1 + i] += transform[(row * transform_row_stride + i) * stride] * feature;
}
}
/* Fill the design row. */
ccl_device_inline void filter_get_design_row_transform(
int3 p_pixel,
const ccl_global float *ccl_restrict p_buffer,
int3 q_pixel,
const ccl_global float *ccl_restrict q_buffer,
int pass_stride,
int rank,
float *design_row,
const ccl_global float *ccl_restrict transform,
int stride,
bool use_time)
{
int num_features = use_time ? 11 : 10;
design_row[0] = 1.0f;
math_vector_zero(design_row + 1, rank);
#define DESIGN_ROW_ADD(I, F) \
design_row_add(design_row, rank, transform, stride, I, F, num_features);
DESIGN_ROW_ADD(0, q_pixel.x - p_pixel.x);
DESIGN_ROW_ADD(1, q_pixel.y - p_pixel.y);
DESIGN_ROW_ADD(2, fabsf(ccl_get_feature(q_buffer, 0)) - fabsf(ccl_get_feature(p_buffer, 0)));
DESIGN_ROW_ADD(3, ccl_get_feature(q_buffer, 1) - ccl_get_feature(p_buffer, 1));
DESIGN_ROW_ADD(4, ccl_get_feature(q_buffer, 2) - ccl_get_feature(p_buffer, 2));
DESIGN_ROW_ADD(5, ccl_get_feature(q_buffer, 3) - ccl_get_feature(p_buffer, 3));
DESIGN_ROW_ADD(6, ccl_get_feature(q_buffer, 4) - ccl_get_feature(p_buffer, 4));
DESIGN_ROW_ADD(7, ccl_get_feature(q_buffer, 5) - ccl_get_feature(p_buffer, 5));
DESIGN_ROW_ADD(8, ccl_get_feature(q_buffer, 6) - ccl_get_feature(p_buffer, 6));
DESIGN_ROW_ADD(9, ccl_get_feature(q_buffer, 7) - ccl_get_feature(p_buffer, 7));
if (use_time) {
DESIGN_ROW_ADD(10, q_pixel.z - p_pixel.z)
}
#undef DESIGN_ROW_ADD
}
CCL_NAMESPACE_END
|
