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blender-archive/source/blender/compositor/operations/COM_DirectionalBlurOperation.cpp
Jeroen Bakker b63b8ea69d Compositor:
Added OpenCL kernel for the directional blur.

This operation always uses the full input image. In the current
implementation this input image is not cached on the device.

Future enhancement could be to cache it on the available opencl devices
2012-07-11 19:32:32 +00:00

146 lines
5.0 KiB
C++

/*
* Copyright 2011, Blender Foundation.
*
* 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.
*
* Contributor:
* Jeroen Bakker
* Monique Dewanchand
*/
#include "COM_DirectionalBlurOperation.h"
#include "BLI_math.h"
#include "COM_OpenCLDevice.h"
extern "C" {
#include "RE_pipeline.h"
}
DirectionalBlurOperation::DirectionalBlurOperation() : NodeOperation()
{
this->addInputSocket(COM_DT_COLOR);
this->addOutputSocket(COM_DT_COLOR);
this->setComplex(true);
this->setOpenCL(true);
this->m_inputProgram = NULL;
}
void DirectionalBlurOperation::initExecution()
{
this->m_inputProgram = getInputSocketReader(0);
QualityStepHelper::initExecution(COM_QH_INCREASE);
const float angle = this->m_data->angle;
const float zoom = this->m_data->zoom;
const float spin = this->m_data->spin;
const float iterations = this->m_data->iter;
const float distance = this->m_data->distance;
const float center_x = this->m_data->center_x;
const float center_y = this->m_data->center_y;
const float width = getWidth();
const float height = getHeight();
const float a = angle;
const float itsc = 1.0f / powf(2.0f, (float)iterations);
float D;
D = distance * sqrtf(width * width + height * height);
this->m_center_x_pix = center_x * width;
this->m_center_y_pix = center_y * height;
this->m_tx = itsc * D * cosf(a);
this->m_ty = -itsc *D *sinf(a);
this->m_sc = itsc * zoom;
this->m_rot = itsc * spin;
}
void DirectionalBlurOperation::executePixel(float *color, int x, int y, MemoryBuffer *inputBuffers[], void *data)
{
const int iterations = pow(2.0f, this->m_data->iter);
float col[4] = {0, 0, 0, 0};
float col2[4] = {0, 0, 0, 0};
this->m_inputProgram->read(col2, x, y, COM_PS_NEAREST, inputBuffers);
float ltx = this->m_tx;
float lty = this->m_ty;
float lsc = this->m_sc;
float lrot = this->m_rot;
/* blur the image */
for (int i = 0; i < iterations; ++i) {
const float cs = cos(lrot), ss = sin(lrot);
const float isc = 1.0f / (1.0f + lsc);
const float v = isc * (y - this->m_center_y_pix) + lty;
const float u = isc * (x - this->m_center_x_pix) + ltx;
this->m_inputProgram->read(col,
cs * u + ss * v + this->m_center_x_pix,
cs * v - ss * u + this->m_center_y_pix,
COM_PS_NEAREST, inputBuffers);
add_v4_v4(col2, col);
/* double transformations */
ltx += this->m_tx;
lty += this->m_ty;
lrot += this->m_rot;
lsc += this->m_sc;
}
mul_v4_v4fl(color, col2, 1.0f / (iterations+1));
}
void DirectionalBlurOperation::executeOpenCL(OpenCLDevice* device,
MemoryBuffer *outputMemoryBuffer, cl_mem clOutputBuffer,
MemoryBuffer **inputMemoryBuffers, list<cl_mem> *clMemToCleanUp,
list<cl_kernel> *clKernelsToCleanUp)
{
cl_kernel directionalBlurKernel = device->COM_clCreateKernel("directionalBlurKernel", NULL);
cl_int iterations = pow(2.0f, this->m_data->iter);
cl_float2 ltxy = {this->m_tx, this->m_ty};
cl_float2 centerpix = {this->m_center_x_pix, this->m_center_y_pix};
cl_float lsc = this->m_sc;
cl_float lrot = this->m_rot;
device->COM_clAttachMemoryBufferToKernelParameter(directionalBlurKernel, 0, -1, clMemToCleanUp, inputMemoryBuffers, this->m_inputProgram);
device->COM_clAttachOutputMemoryBufferToKernelParameter(directionalBlurKernel, 1, clOutputBuffer);
device->COM_clAttachMemoryBufferOffsetToKernelParameter(directionalBlurKernel, 2, outputMemoryBuffer);
clSetKernelArg(directionalBlurKernel, 3, sizeof(cl_int), &iterations);
clSetKernelArg(directionalBlurKernel, 4, sizeof(cl_float), &lsc);
clSetKernelArg(directionalBlurKernel, 5, sizeof(cl_float), &lrot);
clSetKernelArg(directionalBlurKernel, 6, sizeof(cl_float2), &ltxy);
clSetKernelArg(directionalBlurKernel, 7, sizeof(cl_float2), &centerpix);
device->COM_clEnqueueRange(directionalBlurKernel, outputMemoryBuffer, 8, this);
}
void DirectionalBlurOperation::deinitExecution()
{
this->m_inputProgram = NULL;
}
bool DirectionalBlurOperation::determineDependingAreaOfInterest(rcti *input, ReadBufferOperation *readOperation, rcti *output)
{
rcti newInput;
newInput.xmax = this->getWidth();
newInput.xmin = 0;
newInput.ymax = this->getHeight();
newInput.ymin = 0;
return NodeOperation::determineDependingAreaOfInterest(&newInput, readOperation, output);
}