For now it was mainly about OpenCL wrangler being duplicated between Cycles and Compositor, but with OpenSubdiv work those wranglers were gonna to be duplicated just once again. This commit makes it so Cycles and Compositor uses wranglers from this repositories: - https://github.com/CudaWrangler/cuew - https://github.com/OpenCLWrangler/clew This repositories are based on the wranglers we used before and they'll be likely continued maintaining by us plus some more players in the market. Pretty much straightforward change with some tricks in the CMake/SCons to make this libs being passed to the linker after all other libraries in order to make OpenSubdiv linked against those wranglers in the future. For those who're worrying about Cycles being less standalone, it's not truth, it's rather more flexible now and in the future different wranglers might be used in Cycles. For now it'll just mean those libs would need to be put into Cycles repository together with some other libs from Blender such as mikkspace. This is mainly platform maintenance commit, should not be any changes to the user space. Reviewers: juicyfruit, dingto, campbellbarton Reviewed By: juicyfruit, dingto, campbellbarton Differential Revision: https://developer.blender.org/D707
146 lines
4.9 KiB
C++
146 lines
4.9 KiB
C++
/*
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* Copyright 2011, Blender Foundation.
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*
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* This program is free software; you can redistribute it and/or
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* modify it under the terms of the GNU General Public License
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* as published by the Free Software Foundation; either version 2
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* of the License, or (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with this program; if not, write to the Free Software Foundation,
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* Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
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*
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* Contributor:
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* Jeroen Bakker
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* Monique Dewanchand
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*/
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#include "COM_DirectionalBlurOperation.h"
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#include "BLI_math.h"
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#include "COM_OpenCLDevice.h"
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extern "C" {
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# include "RE_pipeline.h"
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}
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DirectionalBlurOperation::DirectionalBlurOperation() : NodeOperation()
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{
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this->addInputSocket(COM_DT_COLOR);
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this->addOutputSocket(COM_DT_COLOR);
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this->setComplex(true);
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this->setOpenCL(true);
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this->m_inputProgram = NULL;
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}
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void DirectionalBlurOperation::initExecution()
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{
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this->m_inputProgram = getInputSocketReader(0);
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QualityStepHelper::initExecution(COM_QH_INCREASE);
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const float angle = this->m_data->angle;
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const float zoom = this->m_data->zoom;
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const float spin = this->m_data->spin;
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const float iterations = this->m_data->iter;
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const float distance = this->m_data->distance;
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const float center_x = this->m_data->center_x;
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const float center_y = this->m_data->center_y;
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const float width = getWidth();
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const float height = getHeight();
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const float a = angle;
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const float itsc = 1.0f / powf(2.0f, (float)iterations);
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float D;
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D = distance * sqrtf(width * width + height * height);
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this->m_center_x_pix = center_x * width;
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this->m_center_y_pix = center_y * height;
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this->m_tx = itsc * D * cosf(a);
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this->m_ty = -itsc *D *sinf(a);
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this->m_sc = itsc * zoom;
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this->m_rot = itsc * spin;
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}
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void DirectionalBlurOperation::executePixel(float output[4], int x, int y, void *data)
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{
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const int iterations = pow(2.0f, this->m_data->iter);
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float col[4] = {0, 0, 0, 0};
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float col2[4] = {0, 0, 0, 0};
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this->m_inputProgram->readSampled(col2, x, y, COM_PS_NEAREST);
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float ltx = this->m_tx;
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float lty = this->m_ty;
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float lsc = this->m_sc;
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float lrot = this->m_rot;
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/* blur the image */
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for (int i = 0; i < iterations; ++i) {
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const float cs = cos(lrot), ss = sin(lrot);
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const float isc = 1.0f / (1.0f + lsc);
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const float v = isc * (y - this->m_center_y_pix) + lty;
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const float u = isc * (x - this->m_center_x_pix) + ltx;
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this->m_inputProgram->readSampled(col,
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cs * u + ss * v + this->m_center_x_pix,
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cs * v - ss * u + this->m_center_y_pix,
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COM_PS_NEAREST);
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add_v4_v4(col2, col);
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/* double transformations */
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ltx += this->m_tx;
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lty += this->m_ty;
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lrot += this->m_rot;
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lsc += this->m_sc;
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}
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mul_v4_v4fl(output, col2, 1.0f / (iterations + 1));
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}
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void DirectionalBlurOperation::executeOpenCL(OpenCLDevice *device,
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MemoryBuffer *outputMemoryBuffer, cl_mem clOutputBuffer,
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MemoryBuffer **inputMemoryBuffers, list<cl_mem> *clMemToCleanUp,
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list<cl_kernel> *clKernelsToCleanUp)
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{
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cl_kernel directionalBlurKernel = device->COM_clCreateKernel("directionalBlurKernel", NULL);
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cl_int iterations = pow(2.0f, this->m_data->iter);
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cl_float2 ltxy = {{this->m_tx, this->m_ty}};
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cl_float2 centerpix = {{this->m_center_x_pix, this->m_center_y_pix}};
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cl_float lsc = this->m_sc;
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cl_float lrot = this->m_rot;
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device->COM_clAttachMemoryBufferToKernelParameter(directionalBlurKernel, 0, -1, clMemToCleanUp, inputMemoryBuffers, this->m_inputProgram);
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device->COM_clAttachOutputMemoryBufferToKernelParameter(directionalBlurKernel, 1, clOutputBuffer);
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device->COM_clAttachMemoryBufferOffsetToKernelParameter(directionalBlurKernel, 2, outputMemoryBuffer);
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clSetKernelArg(directionalBlurKernel, 3, sizeof(cl_int), &iterations);
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clSetKernelArg(directionalBlurKernel, 4, sizeof(cl_float), &lsc);
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clSetKernelArg(directionalBlurKernel, 5, sizeof(cl_float), &lrot);
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clSetKernelArg(directionalBlurKernel, 6, sizeof(cl_float2), <xy);
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clSetKernelArg(directionalBlurKernel, 7, sizeof(cl_float2), ¢erpix);
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device->COM_clEnqueueRange(directionalBlurKernel, outputMemoryBuffer, 8, this);
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}
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void DirectionalBlurOperation::deinitExecution()
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{
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this->m_inputProgram = NULL;
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}
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bool DirectionalBlurOperation::determineDependingAreaOfInterest(rcti *input, ReadBufferOperation *readOperation, rcti *output)
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{
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rcti newInput;
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newInput.xmax = this->getWidth();
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newInput.xmin = 0;
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newInput.ymax = this->getHeight();
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newInput.ymin = 0;
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return NodeOperation::determineDependingAreaOfInterest(&newInput, readOperation, output);
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}
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