197 lines
6.8 KiB
C++
197 lines
6.8 KiB
C++
/*
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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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* Copyright 2011, Blender Foundation.
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*/
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#include "COM_DirectionalBlurOperation.h"
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#include "COM_OpenCLDevice.h"
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namespace blender::compositor {
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DirectionalBlurOperation::DirectionalBlurOperation()
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{
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this->add_input_socket(DataType::Color);
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this->add_output_socket(DataType::Color);
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flags_.complex = true;
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flags_.open_cl = true;
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input_program_ = nullptr;
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}
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void DirectionalBlurOperation::init_execution()
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{
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input_program_ = get_input_socket_reader(0);
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QualityStepHelper::init_execution(COM_QH_INCREASE);
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const float angle = data_->angle;
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const float zoom = data_->zoom;
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const float spin = data_->spin;
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const float iterations = data_->iter;
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const float distance = data_->distance;
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const float center_x = data_->center_x;
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const float center_y = data_->center_y;
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const float width = get_width();
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const float height = get_height();
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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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center_x_pix_ = center_x * width;
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center_y_pix_ = center_y * height;
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tx_ = itsc * D * cosf(a);
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ty_ = -itsc * D * sinf(a);
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sc_ = itsc * zoom;
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rot_ = itsc * spin;
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}
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void DirectionalBlurOperation::execute_pixel(float output[4], int x, int y, void * /*data*/)
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{
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const int iterations = pow(2.0f, data_->iter);
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float col[4] = {0.0f, 0.0f, 0.0f, 0.0f};
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float col2[4] = {0.0f, 0.0f, 0.0f, 0.0f};
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input_program_->read_sampled(col2, x, y, PixelSampler::Bilinear);
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float ltx = tx_;
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float lty = ty_;
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float lsc = sc_;
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float lrot = 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 = cosf(lrot), ss = sinf(lrot);
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const float isc = 1.0f / (1.0f + lsc);
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const float v = isc * (y - center_y_pix_) + lty;
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const float u = isc * (x - center_x_pix_) + ltx;
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input_program_->read_sampled(col,
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cs * u + ss * v + center_x_pix_,
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cs * v - ss * u + center_y_pix_,
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PixelSampler::Bilinear);
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add_v4_v4(col2, col);
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/* double transformations */
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ltx += tx_;
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lty += ty_;
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lrot += rot_;
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lsc += 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::execute_opencl(OpenCLDevice *device,
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MemoryBuffer *output_memory_buffer,
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cl_mem cl_output_buffer,
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MemoryBuffer **input_memory_buffers,
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std::list<cl_mem> *cl_mem_to_clean_up,
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std::list<cl_kernel> * /*cl_kernels_to_clean_up*/)
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{
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cl_kernel directional_blur_kernel = device->COM_cl_create_kernel("directional_blur_kernel",
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nullptr);
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cl_int iterations = pow(2.0f, data_->iter);
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cl_float2 ltxy = {{tx_, ty_}};
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cl_float2 centerpix = {{center_x_pix_, center_y_pix_}};
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cl_float lsc = sc_;
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cl_float lrot = rot_;
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device->COM_cl_attach_memory_buffer_to_kernel_parameter(
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directional_blur_kernel, 0, -1, cl_mem_to_clean_up, input_memory_buffers, input_program_);
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device->COM_cl_attach_output_memory_buffer_to_kernel_parameter(
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directional_blur_kernel, 1, cl_output_buffer);
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device->COM_cl_attach_memory_buffer_offset_to_kernel_parameter(
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directional_blur_kernel, 2, output_memory_buffer);
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clSetKernelArg(directional_blur_kernel, 3, sizeof(cl_int), &iterations);
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clSetKernelArg(directional_blur_kernel, 4, sizeof(cl_float), &lsc);
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clSetKernelArg(directional_blur_kernel, 5, sizeof(cl_float), &lrot);
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clSetKernelArg(directional_blur_kernel, 6, sizeof(cl_float2), <xy);
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clSetKernelArg(directional_blur_kernel, 7, sizeof(cl_float2), ¢erpix);
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device->COM_cl_enqueue_range(directional_blur_kernel, output_memory_buffer, 8, this);
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}
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void DirectionalBlurOperation::deinit_execution()
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{
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input_program_ = nullptr;
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}
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bool DirectionalBlurOperation::determine_depending_area_of_interest(
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rcti * /*input*/, ReadBufferOperation *read_operation, rcti *output)
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{
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rcti new_input;
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new_input.xmax = this->get_width();
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new_input.xmin = 0;
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new_input.ymax = this->get_height();
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new_input.ymin = 0;
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return NodeOperation::determine_depending_area_of_interest(&new_input, read_operation, output);
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}
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void DirectionalBlurOperation::get_area_of_interest(const int input_idx,
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const rcti &UNUSED(output_area),
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rcti &r_input_area)
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{
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BLI_assert(input_idx == 0);
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UNUSED_VARS_NDEBUG(input_idx);
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r_input_area = this->get_canvas();
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}
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void DirectionalBlurOperation::update_memory_buffer_partial(MemoryBuffer *output,
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const rcti &area,
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Span<MemoryBuffer *> inputs)
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{
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const MemoryBuffer *input = inputs[0];
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const int iterations = pow(2.0f, data_->iter);
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for (BuffersIterator<float> it = output->iterate_with({}, area); !it.is_end(); ++it) {
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const int x = it.x;
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const int y = it.y;
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float color_accum[4];
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input->read_elem_bilinear(x, y, color_accum);
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/* Blur pixel. */
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/* TODO(manzanilla): Many values used on iterations can be calculated beforehand. Create a
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* table on operation initialization. */
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float ltx = tx_;
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float lty = ty_;
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float lsc = sc_;
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float lrot = rot_;
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for (int i = 0; i < iterations; i++) {
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const float cs = cosf(lrot), ss = sinf(lrot);
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const float isc = 1.0f / (1.0f + lsc);
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const float v = isc * (y - center_y_pix_) + lty;
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const float u = isc * (x - center_x_pix_) + ltx;
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float color[4];
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input->read_elem_bilinear(
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cs * u + ss * v + center_x_pix_, cs * v - ss * u + center_y_pix_, color);
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add_v4_v4(color_accum, color);
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/* Double transformations. */
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ltx += tx_;
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lty += ty_;
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lrot += rot_;
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lsc += sc_;
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}
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mul_v4_v4fl(it.out, color_accum, 1.0f / (iterations + 1));
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}
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}
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} // namespace blender::compositor
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