The crash was caused by allocating an uninitialized amount of memory. This fix initializes a bunch of variables that could cause the error. It should be possible to also fix this in the function that actually uses the uninitialized memory, but that could cause unknown consequences that are a bit too risky for 3.0. Just initializing some variables should be safe though. For more details see D13369. Differential Revision: https://developer.blender.org/D13369
549 lines
20 KiB
C++
549 lines
20 KiB
C++
/*
|
|
* This program is free software; you can redistribute it and/or
|
|
* modify it under the terms of the GNU General Public License
|
|
* as published by the Free Software Foundation; either version 2
|
|
* of the License, or (at your option) any later version.
|
|
*
|
|
* This program is distributed in the hope that it will be useful,
|
|
* but WITHOUT ANY WARRANTY; without even the implied warranty of
|
|
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
|
* GNU General Public License for more details.
|
|
*
|
|
* You should have received a copy of the GNU General Public License
|
|
* along with this program; if not, write to the Free Software Foundation,
|
|
* Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
|
|
*
|
|
* Copyright 2011, Blender Foundation.
|
|
*/
|
|
|
|
#include "COM_VariableSizeBokehBlurOperation.h"
|
|
#include "COM_OpenCLDevice.h"
|
|
|
|
namespace blender::compositor {
|
|
|
|
VariableSizeBokehBlurOperation::VariableSizeBokehBlurOperation()
|
|
{
|
|
this->add_input_socket(DataType::Color);
|
|
this->add_input_socket(DataType::Color, ResizeMode::Align); /* Do not resize the bokeh image. */
|
|
this->add_input_socket(DataType::Value); /* Radius. */
|
|
#ifdef COM_DEFOCUS_SEARCH
|
|
/* Inverse search radius optimization structure. */
|
|
this->add_input_socket(DataType::Color, ResizeMode::None);
|
|
#endif
|
|
this->add_output_socket(DataType::Color);
|
|
flags_.complex = true;
|
|
flags_.open_cl = true;
|
|
|
|
input_program_ = nullptr;
|
|
input_bokeh_program_ = nullptr;
|
|
input_size_program_ = nullptr;
|
|
max_blur_ = 32.0f;
|
|
threshold_ = 1.0f;
|
|
do_size_scale_ = false;
|
|
#ifdef COM_DEFOCUS_SEARCH
|
|
input_search_program_ = nullptr;
|
|
#endif
|
|
}
|
|
|
|
void VariableSizeBokehBlurOperation::init_execution()
|
|
{
|
|
input_program_ = get_input_socket_reader(0);
|
|
input_bokeh_program_ = get_input_socket_reader(1);
|
|
input_size_program_ = get_input_socket_reader(2);
|
|
#ifdef COM_DEFOCUS_SEARCH
|
|
input_search_program_ = get_input_socket_reader(3);
|
|
#endif
|
|
QualityStepHelper::init_execution(COM_QH_INCREASE);
|
|
}
|
|
struct VariableSizeBokehBlurTileData {
|
|
MemoryBuffer *color;
|
|
MemoryBuffer *bokeh;
|
|
MemoryBuffer *size;
|
|
int max_blur_scalar;
|
|
};
|
|
|
|
void *VariableSizeBokehBlurOperation::initialize_tile_data(rcti *rect)
|
|
{
|
|
VariableSizeBokehBlurTileData *data = new VariableSizeBokehBlurTileData();
|
|
data->color = (MemoryBuffer *)input_program_->initialize_tile_data(rect);
|
|
data->bokeh = (MemoryBuffer *)input_bokeh_program_->initialize_tile_data(rect);
|
|
data->size = (MemoryBuffer *)input_size_program_->initialize_tile_data(rect);
|
|
|
|
rcti rect2 = COM_AREA_NONE;
|
|
this->determine_depending_area_of_interest(
|
|
rect, (ReadBufferOperation *)input_size_program_, &rect2);
|
|
|
|
const float max_dim = MAX2(this->get_width(), this->get_height());
|
|
const float scalar = do_size_scale_ ? (max_dim / 100.0f) : 1.0f;
|
|
|
|
data->max_blur_scalar = (int)(data->size->get_max_value(rect2) * scalar);
|
|
CLAMP(data->max_blur_scalar, 1.0f, max_blur_);
|
|
return data;
|
|
}
|
|
|
|
void VariableSizeBokehBlurOperation::deinitialize_tile_data(rcti * /*rect*/, void *data)
|
|
{
|
|
VariableSizeBokehBlurTileData *result = (VariableSizeBokehBlurTileData *)data;
|
|
delete result;
|
|
}
|
|
|
|
void VariableSizeBokehBlurOperation::execute_pixel(float output[4], int x, int y, void *data)
|
|
{
|
|
VariableSizeBokehBlurTileData *tile_data = (VariableSizeBokehBlurTileData *)data;
|
|
MemoryBuffer *input_program_buffer = tile_data->color;
|
|
MemoryBuffer *input_bokeh_buffer = tile_data->bokeh;
|
|
MemoryBuffer *input_size_buffer = tile_data->size;
|
|
float *input_size_float_buffer = input_size_buffer->get_buffer();
|
|
float *input_program_float_buffer = input_program_buffer->get_buffer();
|
|
float read_color[4];
|
|
float bokeh[4];
|
|
float temp_size[4];
|
|
float multiplier_accum[4];
|
|
float color_accum[4];
|
|
|
|
const float max_dim = MAX2(get_width(), get_height());
|
|
const float scalar = do_size_scale_ ? (max_dim / 100.0f) : 1.0f;
|
|
int max_blur_scalar = tile_data->max_blur_scalar;
|
|
|
|
BLI_assert(input_bokeh_buffer->get_width() == COM_BLUR_BOKEH_PIXELS);
|
|
BLI_assert(input_bokeh_buffer->get_height() == COM_BLUR_BOKEH_PIXELS);
|
|
|
|
#ifdef COM_DEFOCUS_SEARCH
|
|
float search[4];
|
|
input_search_program_->read(search,
|
|
x / InverseSearchRadiusOperation::DIVIDER,
|
|
y / InverseSearchRadiusOperation::DIVIDER,
|
|
nullptr);
|
|
int minx = search[0];
|
|
int miny = search[1];
|
|
int maxx = search[2];
|
|
int maxy = search[3];
|
|
#else
|
|
int minx = MAX2(x - max_blur_scalar, 0);
|
|
int miny = MAX2(y - max_blur_scalar, 0);
|
|
int maxx = MIN2(x + max_blur_scalar, (int)get_width());
|
|
int maxy = MIN2(y + max_blur_scalar, (int)get_height());
|
|
#endif
|
|
{
|
|
input_size_buffer->read_no_check(temp_size, x, y);
|
|
input_program_buffer->read_no_check(read_color, x, y);
|
|
|
|
copy_v4_v4(color_accum, read_color);
|
|
copy_v4_fl(multiplier_accum, 1.0f);
|
|
float size_center = temp_size[0] * scalar;
|
|
|
|
const int add_xstep_value = QualityStepHelper::get_step();
|
|
const int add_ystep_value = add_xstep_value;
|
|
const int add_xstep_color = add_xstep_value * COM_DATA_TYPE_COLOR_CHANNELS;
|
|
|
|
if (size_center > threshold_) {
|
|
for (int ny = miny; ny < maxy; ny += add_ystep_value) {
|
|
float dy = ny - y;
|
|
int offset_value_ny = ny * input_size_buffer->get_width();
|
|
int offset_value_nx_ny = offset_value_ny + (minx);
|
|
int offset_color_nx_ny = offset_value_nx_ny * COM_DATA_TYPE_COLOR_CHANNELS;
|
|
for (int nx = minx; nx < maxx; nx += add_xstep_value) {
|
|
if (nx != x || ny != y) {
|
|
float size = MIN2(input_size_float_buffer[offset_value_nx_ny] * scalar, size_center);
|
|
if (size > threshold_) {
|
|
float dx = nx - x;
|
|
if (size > fabsf(dx) && size > fabsf(dy)) {
|
|
float uv[2] = {
|
|
(float)(COM_BLUR_BOKEH_PIXELS / 2) +
|
|
(dx / size) * (float)((COM_BLUR_BOKEH_PIXELS / 2) - 1),
|
|
(float)(COM_BLUR_BOKEH_PIXELS / 2) +
|
|
(dy / size) * (float)((COM_BLUR_BOKEH_PIXELS / 2) - 1),
|
|
};
|
|
input_bokeh_buffer->read(bokeh, uv[0], uv[1]);
|
|
madd_v4_v4v4(color_accum, bokeh, &input_program_float_buffer[offset_color_nx_ny]);
|
|
add_v4_v4(multiplier_accum, bokeh);
|
|
}
|
|
}
|
|
}
|
|
offset_color_nx_ny += add_xstep_color;
|
|
offset_value_nx_ny += add_xstep_value;
|
|
}
|
|
}
|
|
}
|
|
|
|
output[0] = color_accum[0] / multiplier_accum[0];
|
|
output[1] = color_accum[1] / multiplier_accum[1];
|
|
output[2] = color_accum[2] / multiplier_accum[2];
|
|
output[3] = color_accum[3] / multiplier_accum[3];
|
|
|
|
/* blend in out values over the threshold, otherwise we get sharp, ugly transitions */
|
|
if ((size_center > threshold_) && (size_center < threshold_ * 2.0f)) {
|
|
/* factor from 0-1 */
|
|
float fac = (size_center - threshold_) / threshold_;
|
|
interp_v4_v4v4(output, read_color, output, fac);
|
|
}
|
|
}
|
|
}
|
|
|
|
void VariableSizeBokehBlurOperation::execute_opencl(
|
|
OpenCLDevice *device,
|
|
MemoryBuffer *output_memory_buffer,
|
|
cl_mem cl_output_buffer,
|
|
MemoryBuffer **input_memory_buffers,
|
|
std::list<cl_mem> *cl_mem_to_clean_up,
|
|
std::list<cl_kernel> * /*cl_kernels_to_clean_up*/)
|
|
{
|
|
cl_kernel defocus_kernel = device->COM_cl_create_kernel("defocus_kernel", nullptr);
|
|
|
|
cl_int step = this->get_step();
|
|
cl_int max_blur;
|
|
cl_float threshold = threshold_;
|
|
|
|
MemoryBuffer *size_memory_buffer = input_size_program_->get_input_memory_buffer(
|
|
input_memory_buffers);
|
|
|
|
const float max_dim = MAX2(get_width(), get_height());
|
|
cl_float scalar = do_size_scale_ ? (max_dim / 100.0f) : 1.0f;
|
|
|
|
max_blur = (cl_int)min_ff(size_memory_buffer->get_max_value() * scalar, (float)max_blur_);
|
|
|
|
device->COM_cl_attach_memory_buffer_to_kernel_parameter(
|
|
defocus_kernel, 0, -1, cl_mem_to_clean_up, input_memory_buffers, input_program_);
|
|
device->COM_cl_attach_memory_buffer_to_kernel_parameter(
|
|
defocus_kernel, 1, -1, cl_mem_to_clean_up, input_memory_buffers, input_bokeh_program_);
|
|
device->COM_cl_attach_memory_buffer_to_kernel_parameter(
|
|
defocus_kernel, 2, 4, cl_mem_to_clean_up, input_memory_buffers, input_size_program_);
|
|
device->COM_cl_attach_output_memory_buffer_to_kernel_parameter(
|
|
defocus_kernel, 3, cl_output_buffer);
|
|
device->COM_cl_attach_memory_buffer_offset_to_kernel_parameter(
|
|
defocus_kernel, 5, output_memory_buffer);
|
|
clSetKernelArg(defocus_kernel, 6, sizeof(cl_int), &step);
|
|
clSetKernelArg(defocus_kernel, 7, sizeof(cl_int), &max_blur);
|
|
clSetKernelArg(defocus_kernel, 8, sizeof(cl_float), &threshold);
|
|
clSetKernelArg(defocus_kernel, 9, sizeof(cl_float), &scalar);
|
|
device->COM_cl_attach_size_to_kernel_parameter(defocus_kernel, 10, this);
|
|
|
|
device->COM_cl_enqueue_range(defocus_kernel, output_memory_buffer, 11, this);
|
|
}
|
|
|
|
void VariableSizeBokehBlurOperation::deinit_execution()
|
|
{
|
|
input_program_ = nullptr;
|
|
input_bokeh_program_ = nullptr;
|
|
input_size_program_ = nullptr;
|
|
#ifdef COM_DEFOCUS_SEARCH
|
|
input_search_program_ = nullptr;
|
|
#endif
|
|
}
|
|
|
|
bool VariableSizeBokehBlurOperation::determine_depending_area_of_interest(
|
|
rcti *input, ReadBufferOperation *read_operation, rcti *output)
|
|
{
|
|
rcti new_input;
|
|
rcti bokeh_input;
|
|
|
|
const float max_dim = MAX2(get_width(), get_height());
|
|
const float scalar = do_size_scale_ ? (max_dim / 100.0f) : 1.0f;
|
|
int max_blur_scalar = max_blur_ * scalar;
|
|
|
|
new_input.xmax = input->xmax + max_blur_scalar + 2;
|
|
new_input.xmin = input->xmin - max_blur_scalar + 2;
|
|
new_input.ymax = input->ymax + max_blur_scalar - 2;
|
|
new_input.ymin = input->ymin - max_blur_scalar - 2;
|
|
bokeh_input.xmax = COM_BLUR_BOKEH_PIXELS;
|
|
bokeh_input.xmin = 0;
|
|
bokeh_input.ymax = COM_BLUR_BOKEH_PIXELS;
|
|
bokeh_input.ymin = 0;
|
|
|
|
NodeOperation *operation = get_input_operation(2);
|
|
if (operation->determine_depending_area_of_interest(&new_input, read_operation, output)) {
|
|
return true;
|
|
}
|
|
operation = get_input_operation(1);
|
|
if (operation->determine_depending_area_of_interest(&bokeh_input, read_operation, output)) {
|
|
return true;
|
|
}
|
|
#ifdef COM_DEFOCUS_SEARCH
|
|
rcti search_input;
|
|
search_input.xmax = (input->xmax / InverseSearchRadiusOperation::DIVIDER) + 1;
|
|
search_input.xmin = (input->xmin / InverseSearchRadiusOperation::DIVIDER) - 1;
|
|
search_input.ymax = (input->ymax / InverseSearchRadiusOperation::DIVIDER) + 1;
|
|
search_input.ymin = (input->ymin / InverseSearchRadiusOperation::DIVIDER) - 1;
|
|
operation = get_input_operation(3);
|
|
if (operation->determine_depending_area_of_interest(&search_input, read_operation, output)) {
|
|
return true;
|
|
}
|
|
#endif
|
|
operation = get_input_operation(0);
|
|
if (operation->determine_depending_area_of_interest(&new_input, read_operation, output)) {
|
|
return true;
|
|
}
|
|
return false;
|
|
}
|
|
|
|
void VariableSizeBokehBlurOperation::get_area_of_interest(const int input_idx,
|
|
const rcti &output_area,
|
|
rcti &r_input_area)
|
|
{
|
|
switch (input_idx) {
|
|
case IMAGE_INPUT_INDEX:
|
|
case SIZE_INPUT_INDEX: {
|
|
const float max_dim = MAX2(get_width(), get_height());
|
|
const float scalar = do_size_scale_ ? (max_dim / 100.0f) : 1.0f;
|
|
const int max_blur_scalar = max_blur_ * scalar;
|
|
r_input_area.xmax = output_area.xmax + max_blur_scalar + 2;
|
|
r_input_area.xmin = output_area.xmin - max_blur_scalar - 2;
|
|
r_input_area.ymax = output_area.ymax + max_blur_scalar + 2;
|
|
r_input_area.ymin = output_area.ymin - max_blur_scalar - 2;
|
|
break;
|
|
}
|
|
case BOKEH_INPUT_INDEX: {
|
|
r_input_area = output_area;
|
|
r_input_area.xmax = r_input_area.xmin + COM_BLUR_BOKEH_PIXELS;
|
|
r_input_area.ymax = r_input_area.ymin + COM_BLUR_BOKEH_PIXELS;
|
|
break;
|
|
}
|
|
#ifdef COM_DEFOCUS_SEARCH
|
|
case DEFOCUS_INPUT_INDEX: {
|
|
r_input_area.xmax = (output_area.xmax / InverseSearchRadiusOperation::DIVIDER) + 1;
|
|
r_input_area.xmin = (output_area.xmin / InverseSearchRadiusOperation::DIVIDER) - 1;
|
|
r_input_area.ymax = (output_area.ymax / InverseSearchRadiusOperation::DIVIDER) + 1;
|
|
r_input_area.ymin = (output_area.ymin / InverseSearchRadiusOperation::DIVIDER) - 1;
|
|
break;
|
|
}
|
|
#endif
|
|
}
|
|
}
|
|
|
|
struct PixelData {
|
|
float multiplier_accum[4];
|
|
float color_accum[4];
|
|
float threshold;
|
|
float scalar;
|
|
float size_center;
|
|
int max_blur_scalar;
|
|
int step;
|
|
MemoryBuffer *bokeh_input;
|
|
MemoryBuffer *size_input;
|
|
MemoryBuffer *image_input;
|
|
int image_width;
|
|
int image_height;
|
|
};
|
|
|
|
static void blur_pixel(int x, int y, PixelData &p)
|
|
{
|
|
BLI_assert(p.bokeh_input->get_width() == COM_BLUR_BOKEH_PIXELS);
|
|
BLI_assert(p.bokeh_input->get_height() == COM_BLUR_BOKEH_PIXELS);
|
|
|
|
#ifdef COM_DEFOCUS_SEARCH
|
|
float search[4];
|
|
inputs[DEFOCUS_INPUT_INDEX]->read_elem_checked(x / InverseSearchRadiusOperation::DIVIDER,
|
|
y / InverseSearchRadiusOperation::DIVIDER,
|
|
search);
|
|
const int minx = search[0];
|
|
const int miny = search[1];
|
|
const int maxx = search[2];
|
|
const int maxy = search[3];
|
|
#else
|
|
const int minx = MAX2(x - p.max_blur_scalar, 0);
|
|
const int miny = MAX2(y - p.max_blur_scalar, 0);
|
|
const int maxx = MIN2(x + p.max_blur_scalar, p.image_width);
|
|
const int maxy = MIN2(y + p.max_blur_scalar, p.image_height);
|
|
#endif
|
|
|
|
const int color_row_stride = p.image_input->row_stride * p.step;
|
|
const int color_elem_stride = p.image_input->elem_stride * p.step;
|
|
const int size_row_stride = p.size_input->row_stride * p.step;
|
|
const int size_elem_stride = p.size_input->elem_stride * p.step;
|
|
const float *row_color = p.image_input->get_elem(minx, miny);
|
|
const float *row_size = p.size_input->get_elem(minx, miny);
|
|
for (int ny = miny; ny < maxy;
|
|
ny += p.step, row_size += size_row_stride, row_color += color_row_stride) {
|
|
const float dy = ny - y;
|
|
const float *size_elem = row_size;
|
|
const float *color = row_color;
|
|
for (int nx = minx; nx < maxx;
|
|
nx += p.step, size_elem += size_elem_stride, color += color_elem_stride) {
|
|
if (nx == x && ny == y) {
|
|
continue;
|
|
}
|
|
const float size = MIN2(size_elem[0] * p.scalar, p.size_center);
|
|
if (size <= p.threshold) {
|
|
continue;
|
|
}
|
|
const float dx = nx - x;
|
|
if (size <= fabsf(dx) || size <= fabsf(dy)) {
|
|
continue;
|
|
}
|
|
|
|
/* XXX: There is no way to ensure bokeh input is an actual bokeh with #COM_BLUR_BOKEH_PIXELS
|
|
* size, anything may be connected. Use the real input size and remove asserts? */
|
|
const float u = (float)(COM_BLUR_BOKEH_PIXELS / 2) +
|
|
(dx / size) * (float)((COM_BLUR_BOKEH_PIXELS / 2) - 1);
|
|
const float v = (float)(COM_BLUR_BOKEH_PIXELS / 2) +
|
|
(dy / size) * (float)((COM_BLUR_BOKEH_PIXELS / 2) - 1);
|
|
float bokeh[4];
|
|
p.bokeh_input->read_elem_checked(u, v, bokeh);
|
|
madd_v4_v4v4(p.color_accum, bokeh, color);
|
|
add_v4_v4(p.multiplier_accum, bokeh);
|
|
}
|
|
}
|
|
}
|
|
|
|
void VariableSizeBokehBlurOperation::update_memory_buffer_partial(MemoryBuffer *output,
|
|
const rcti &area,
|
|
Span<MemoryBuffer *> inputs)
|
|
{
|
|
PixelData p;
|
|
p.bokeh_input = inputs[BOKEH_INPUT_INDEX];
|
|
p.size_input = inputs[SIZE_INPUT_INDEX];
|
|
p.image_input = inputs[IMAGE_INPUT_INDEX];
|
|
p.step = QualityStepHelper::get_step();
|
|
p.threshold = threshold_;
|
|
p.image_width = this->get_width();
|
|
p.image_height = this->get_height();
|
|
|
|
rcti scalar_area = COM_AREA_NONE;
|
|
this->get_area_of_interest(SIZE_INPUT_INDEX, area, scalar_area);
|
|
BLI_rcti_isect(&scalar_area, &p.size_input->get_rect(), &scalar_area);
|
|
const float max_size = p.size_input->get_max_value(scalar_area);
|
|
|
|
const float max_dim = MAX2(this->get_width(), this->get_height());
|
|
p.scalar = do_size_scale_ ? (max_dim / 100.0f) : 1.0f;
|
|
p.max_blur_scalar = static_cast<int>(max_size * p.scalar);
|
|
CLAMP(p.max_blur_scalar, 1, max_blur_);
|
|
|
|
for (BuffersIterator<float> it = output->iterate_with({p.image_input, p.size_input}, area);
|
|
!it.is_end();
|
|
++it) {
|
|
const float *color = it.in(0);
|
|
const float size = *it.in(1);
|
|
copy_v4_v4(p.color_accum, color);
|
|
copy_v4_fl(p.multiplier_accum, 1.0f);
|
|
p.size_center = size * p.scalar;
|
|
|
|
if (p.size_center > p.threshold) {
|
|
blur_pixel(it.x, it.y, p);
|
|
}
|
|
|
|
it.out[0] = p.color_accum[0] / p.multiplier_accum[0];
|
|
it.out[1] = p.color_accum[1] / p.multiplier_accum[1];
|
|
it.out[2] = p.color_accum[2] / p.multiplier_accum[2];
|
|
it.out[3] = p.color_accum[3] / p.multiplier_accum[3];
|
|
|
|
/* Blend in out values over the threshold, otherwise we get sharp, ugly transitions. */
|
|
if ((p.size_center > p.threshold) && (p.size_center < p.threshold * 2.0f)) {
|
|
/* Factor from 0-1. */
|
|
const float fac = (p.size_center - p.threshold) / p.threshold;
|
|
interp_v4_v4v4(it.out, color, it.out, fac);
|
|
}
|
|
}
|
|
}
|
|
|
|
#ifdef COM_DEFOCUS_SEARCH
|
|
/* #InverseSearchRadiusOperation. */
|
|
InverseSearchRadiusOperation::InverseSearchRadiusOperation()
|
|
{
|
|
this->add_input_socket(DataType::Value, ResizeMode::Align); /* Radius. */
|
|
this->add_output_socket(DataType::Color);
|
|
this->flags.complex = true;
|
|
input_radius_ = nullptr;
|
|
}
|
|
|
|
void InverseSearchRadiusOperation::init_execution()
|
|
{
|
|
input_radius_ = this->get_input_socket_reader(0);
|
|
}
|
|
|
|
void *InverseSearchRadiusOperation::initialize_tile_data(rcti *rect)
|
|
{
|
|
MemoryBuffer *data = new MemoryBuffer(DataType::Color, rect);
|
|
float *buffer = data->get_buffer();
|
|
int x, y;
|
|
int width = input_radius_->get_width();
|
|
int height = input_radius_->get_height();
|
|
float temp[4];
|
|
int offset = 0;
|
|
for (y = rect->ymin; y < rect->ymax; y++) {
|
|
for (x = rect->xmin; x < rect->xmax; x++) {
|
|
int rx = x * DIVIDER;
|
|
int ry = y * DIVIDER;
|
|
buffer[offset] = MAX2(rx - max_blur_, 0);
|
|
buffer[offset + 1] = MAX2(ry - max_blur_, 0);
|
|
buffer[offset + 2] = MIN2(rx + DIVIDER + max_blur_, width);
|
|
buffer[offset + 3] = MIN2(ry + DIVIDER + max_blur_, height);
|
|
offset += 4;
|
|
}
|
|
}
|
|
# if 0
|
|
for (x = rect->xmin; x < rect->xmax; x++) {
|
|
for (y = rect->ymin; y < rect->ymax; y++) {
|
|
int rx = x * DIVIDER;
|
|
int ry = y * DIVIDER;
|
|
float radius = 0.0f;
|
|
float maxx = x;
|
|
float maxy = y;
|
|
|
|
for (int x2 = 0; x2 < DIVIDER; x2++) {
|
|
for (int y2 = 0; y2 < DIVIDER; y2++) {
|
|
input_radius_->read(temp, rx + x2, ry + y2, PixelSampler::Nearest);
|
|
if (radius < temp[0]) {
|
|
radius = temp[0];
|
|
maxx = x2;
|
|
maxy = y2;
|
|
}
|
|
}
|
|
}
|
|
int impact_radius = ceil(radius / DIVIDER);
|
|
for (int x2 = x - impact_radius; x2 < x + impact_radius; x2++) {
|
|
for (int y2 = y - impact_radius; y2 < y + impact_radius; y2++) {
|
|
data->read(temp, x2, y2);
|
|
temp[0] = MIN2(temp[0], maxx);
|
|
temp[1] = MIN2(temp[1], maxy);
|
|
temp[2] = MAX2(temp[2], maxx);
|
|
temp[3] = MAX2(temp[3], maxy);
|
|
data->write_pixel(x2, y2, temp);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
# endif
|
|
return data;
|
|
}
|
|
|
|
void InverseSearchRadiusOperation::execute_pixel_chunk(float output[4], int x, int y, void *data)
|
|
{
|
|
MemoryBuffer *buffer = (MemoryBuffer *)data;
|
|
buffer->read_no_check(output, x, y);
|
|
}
|
|
|
|
void InverseSearchRadiusOperation::deinitialize_tile_data(rcti *rect, void *data)
|
|
{
|
|
if (data) {
|
|
MemoryBuffer *mb = (MemoryBuffer *)data;
|
|
delete mb;
|
|
}
|
|
}
|
|
|
|
void InverseSearchRadiusOperation::deinit_execution()
|
|
{
|
|
input_radius_ = nullptr;
|
|
}
|
|
|
|
void InverseSearchRadiusOperation::determine_resolution(unsigned int resolution[2],
|
|
unsigned int preferred_resolution[2])
|
|
{
|
|
NodeOperation::determine_resolution(resolution, preferred_resolution);
|
|
resolution[0] = resolution[0] / DIVIDER;
|
|
resolution[1] = resolution[1] / DIVIDER;
|
|
}
|
|
|
|
bool InverseSearchRadiusOperation::determine_depending_area_of_interest(
|
|
rcti *input, ReadBufferOperation *read_operation, rcti *output)
|
|
{
|
|
rcti new_rect;
|
|
new_rect.ymin = input->ymin * DIVIDER - max_blur_;
|
|
new_rect.ymax = input->ymax * DIVIDER + max_blur_;
|
|
new_rect.xmin = input->xmin * DIVIDER - max_blur_;
|
|
new_rect.xmax = input->xmax * DIVIDER + max_blur_;
|
|
return NodeOperation::determine_depending_area_of_interest(&new_rect, read_operation, output);
|
|
}
|
|
#endif
|
|
|
|
} // namespace blender::compositor
|