Make size inference consistent with the viewport compositor (from a user's perspective). This patch uses constat folding to create a constant output out of constant inputs. This is consistent with the results of the realtime compositor. Nodes not included in this patch require further refactoring or discussion. They will be addressed in future patches. Pull Request: https://projects.blender.org/blender/blender/pulls/114755
184 lines
6.2 KiB
C++
184 lines
6.2 KiB
C++
/* SPDX-FileCopyrightText: 2011 Blender Authors
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*
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* SPDX-License-Identifier: GPL-2.0-or-later */
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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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flags_.can_be_constant = 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 & /*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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