638 lines
22 KiB
C++
638 lines
22 KiB
C++
#include "blue_noise.hpp"
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#include <random>
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#include <cassert>
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#include <iostream>
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#include <fstream>
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#include <memory>
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#include <string>
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#include <CL/opencl.h>
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#ifndef NDEBUG
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# include <cstdio>
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#endif
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image::Bl dither::blue_noise(int width, int height, int threads, bool use_opencl) {
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bool using_opencl = false;
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if(use_opencl) {
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// try to use OpenCL
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do {
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cl_device_id device;
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cl_context context;
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cl_program program;
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cl_int err;
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cl_platform_id platform;
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int filter_size = (width + height) / 2;
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err = clGetPlatformIDs(1, &platform, nullptr);
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if(err != CL_SUCCESS) {
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std::cerr << "OpenCL: Failed to identify a platform\n";
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break;
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}
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err = clGetDeviceIDs(platform, CL_DEVICE_TYPE_GPU, 1, &device, nullptr);
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if(err != CL_SUCCESS) {
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std::cerr << "OpenCL: Failed to get a device\n";
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break;
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}
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context = clCreateContext(nullptr, 1, &device, nullptr, nullptr, &err);
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{
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char buf[1024];
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std::ifstream program_file("src/blue_noise.cl");
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std::string program_string;
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while(program_file.good()) {
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program_file.read(buf, 1024);
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if(int read_count = program_file.gcount(); read_count > 0) {
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program_string.append(buf, read_count);
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}
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}
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const char *string_ptr = program_string.c_str();
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std::size_t program_size = program_string.size();
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program = clCreateProgramWithSource(context, 1, (const char**)&string_ptr, &program_size, &err);
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if(err != CL_SUCCESS) {
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std::cerr << "OpenCL: Failed to create the program\n";
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clReleaseContext(context);
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break;
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}
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err = clBuildProgram(program, 1, &device, nullptr, nullptr, nullptr);
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if(err != CL_SUCCESS) {
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std::cerr << "OpenCL: Failed to build the program\n";
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std::size_t log_size;
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clGetProgramBuildInfo(program, device, CL_PROGRAM_BUILD_LOG, 0, nullptr, &log_size);
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std::unique_ptr<char[]> log = std::make_unique<char[]>(log_size + 1);
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log[log_size] = 0;
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clGetProgramBuildInfo(program, device, CL_PROGRAM_BUILD_LOG, log_size, log.get(), nullptr);
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std::cerr << log.get() << std::endl;
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clReleaseProgram(program);
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clReleaseContext(context);
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break;
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}
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}
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std::cout << "OpenCL: Initialized, trying cl_impl..." << std::endl;
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std::vector<bool> result = internal::blue_noise_cl_impl(
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width, height, filter_size, context, device, program);
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clReleaseProgram(program);
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clReleaseContext(context);
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if(!result.empty()) {
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return internal::toBl(result, width);
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}
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} while (false);
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}
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if(!using_opencl) {
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std::cout << "OpenCL: Failed to setup/use or is not enabled, using regular impl..."
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<< std::endl;
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return internal::toBl(internal::blue_noise_impl(width, height, threads), width);
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}
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return {};
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}
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image::Bl dither::blue_noise_grayscale(int width, int height, int threads) {
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int count = width * height;
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std::vector<float> filter_out;
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filter_out.resize(count);
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std::vector<float> image = internal::random_noise_grayscale(count);
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int iterations = 0;
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int filter_size = (width + height) / 2;
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std::vector<float> precomputed(internal::precompute_gaussian(filter_size));
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int min, max, min2, max2;
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float tempPixel;
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while(true) {
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printf("Iteration %d\n", iterations);
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internal::compute_filter_grayscale(image,
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width, height, count,
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filter_size, filter_out,
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&precomputed, threads);
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std::tie(min, max) = internal::filter_minmax(filter_out);
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printf("min == %4d, max == %4d", min, max);
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tempPixel = image[max];
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image[max] = 0.0F;
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internal::compute_filter_grayscale(image,
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width, height, count,
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filter_size, filter_out,
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&precomputed, threads);
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std::tie(min2, max2) = internal::filter_minmax(filter_out);
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printf(", min2 == %4d, max2 == %4d\n", min2, max2);
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if(utility::dist(min, min2, width) < 1.5F) {
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image[max] = image[min2];
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image[min2] = tempPixel;
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} else {
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image[max] = tempPixel;
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break;
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}
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//#ifndef NDEBUG
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if(iterations % 20 == 0) {
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std::string name;
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name.append("tempGrayscale");
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if(iterations < 10) {
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name.append("00");
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} else if(iterations < 100) {
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name.append("0");
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}
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name.append(std::to_string(iterations));
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name.append(".pgm");
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image::Bl(image, width).writeToFile(image::file_type::PGM, true, name);
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}
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//#endif
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++iterations;
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}
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// TODO
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return image::Bl(image, width);
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}
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std::vector<bool> dither::internal::blue_noise_impl(int width, int height, int threads) {
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int count = width * height;
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std::vector<float> filter_out;
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filter_out.resize(count);
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int pixel_count = count * 4 / 10;
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std::vector<bool> pbp = random_noise(count, count * 4 / 10);
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pbp.resize(count);
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//#ifndef NDEBUG
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printf("Inserting %d pixels into image of max count %d\n", pixel_count, count);
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// generate image from randomized pbp
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FILE *random_noise_image = fopen("random_noise.pbm", "w");
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fprintf(random_noise_image, "P1\n%d %d\n", width, height);
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for(int y = 0; y < height; ++y) {
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for(int x = 0; x < width; ++x) {
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fprintf(random_noise_image, "%d ", pbp[utility::twoToOne(x, y, width, height)] ? 1 : 0);
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}
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fputc('\n', random_noise_image);
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}
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fclose(random_noise_image);
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//#endif
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//#ifndef NDEBUG
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int iterations = 0;
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//#endif
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int filter_size = (width + height) / 2;
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std::unique_ptr<std::vector<float>> precomputed = std::make_unique<std::vector<float>>(internal::precompute_gaussian(filter_size));
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internal::compute_filter(pbp, width, height, count, filter_size,
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filter_out, precomputed.get(), threads);
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internal::write_filter(filter_out, width, "filter_out_start.pgm");
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while(true) {
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//#ifndef NDEBUG
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// if(++iterations % 10 == 0) {
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printf("Iteration %d\n", ++iterations);
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// }
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//#endif
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// get filter values
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internal::compute_filter(pbp, width, height, count, filter_size,
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filter_out, precomputed.get(), threads);
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#ifndef NDEBUG
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// for(int i = 0; i < count; ++i) {
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// int x, y;
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// std::tie(x, y) = internal::oneToTwo(i, width);
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// printf("%d (%d, %d): %f\n", i, x, y, filter_out[i]);
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// }
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#endif
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int min, max, min_zero, max_one;
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std::tie(min, max) = internal::filter_minmax(filter_out);
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if(!pbp[max]) {
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max_one = internal::get_one_or_zero(pbp, true, max, width, height);
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#ifndef NDEBUG
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std::cout << "Post get_one(...)" << std::endl;
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#endif
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} else {
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max_one = max;
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}
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if(!pbp[max_one]) {
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std::cerr << "ERROR: Failed to find pbp[max] one" << std::endl;
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break;
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}
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if(pbp[min]) {
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min_zero = internal::get_one_or_zero(pbp, false, min, width, height);
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#ifndef NDEBUG
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std::cout << "Post get_zero(...)" << std::endl;
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#endif
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} else {
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min_zero = min;
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}
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if(pbp[min_zero]) {
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std::cerr << "ERROR: Failed to find pbp[min] zero" << std::endl;
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break;
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}
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// remove 1
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pbp[max_one] = false;
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// get filter values again
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internal::compute_filter(pbp, width, height, count, filter_size,
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filter_out, precomputed.get(), threads);
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// get second buffer's min
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int second_min;
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std::tie(second_min, std::ignore) = internal::filter_minmax(filter_out);
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if(pbp[second_min]) {
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second_min = internal::get_one_or_zero(pbp, false, second_min, width, height);
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if(pbp[second_min]) {
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std::cerr << "ERROR: Failed to find pbp[second_min] zero" << std::endl;
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break;
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}
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}
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if(utility::dist(max_one, second_min, width) < 1.5f) {
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pbp[max_one] = true;
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break;
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} else {
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pbp[min_zero] = true;
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}
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if(iterations % 100 == 0) {
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// generate blue_noise image from pbp
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FILE *blue_noise_image = fopen("blue_noise.pbm", "w");
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fprintf(blue_noise_image, "P1\n%d %d\n", width, height);
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for(int y = 0; y < height; ++y) {
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for(int x = 0; x < width; ++x) {
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fprintf(blue_noise_image, "%d ", pbp[utility::twoToOne(x, y, width, height)] ? 1 : 0);
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}
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fputc('\n', blue_noise_image);
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}
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fclose(blue_noise_image);
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}
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}
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internal::compute_filter(pbp, width, height, count, filter_size,
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filter_out, precomputed.get(), threads);
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internal::write_filter(filter_out, width, "filter_out_final.pgm");
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//#ifndef NDEBUG
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// generate blue_noise image from pbp
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FILE *blue_noise_image = fopen("blue_noise.pbm", "w");
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fprintf(blue_noise_image, "P1\n%d %d\n", width, height);
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for(int y = 0; y < height; ++y) {
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for(int x = 0; x < width; ++x) {
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fprintf(blue_noise_image, "%d ", pbp[utility::twoToOne(x, y, width, height)] ? 1 : 0);
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}
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fputc('\n', blue_noise_image);
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}
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fclose(blue_noise_image);
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//#endif
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return pbp;
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}
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std::vector<bool> dither::internal::blue_noise_cl_impl(
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int width, int height, int filter_size, cl_context context, cl_device_id device, cl_program program) {
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cl_int err;
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cl_kernel kernel;
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cl_command_queue queue;
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cl_mem d_filter_out, d_precomputed, d_pbp;
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std::size_t global_size, local_size;
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std::vector<float> precomputed = precompute_gaussian(filter_size);
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int count = width * height;
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int pixel_count = count * 4 / 10;
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std::vector<bool> pbp = random_noise(count, pixel_count);
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std::vector<int> pbp_i(pbp.size());
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queue = clCreateCommandQueueWithProperties(context, device, nullptr, &err);
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d_filter_out = clCreateBuffer(context, CL_MEM_WRITE_ONLY, count * sizeof(float), nullptr, nullptr);
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d_precomputed = clCreateBuffer(context, CL_MEM_READ_ONLY, filter_size * filter_size * sizeof(float), nullptr, nullptr);
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d_pbp = clCreateBuffer(context, CL_MEM_READ_ONLY, count * sizeof(int), nullptr, nullptr);
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err = clEnqueueWriteBuffer(queue, d_precomputed, CL_TRUE, 0, filter_size * filter_size * sizeof(float), &precomputed[0], 0, nullptr, nullptr);
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if(err != CL_SUCCESS) {
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std::cerr << "OpenCL: Failed to write to d_precomputed buffer\n";
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clReleaseMemObject(d_pbp);
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clReleaseMemObject(d_precomputed);
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clReleaseMemObject(d_filter_out);
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clReleaseCommandQueue(queue);
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return {};
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}
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/*
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err = clEnqueueWriteBuffer(queue, d_pbp, CL_TRUE, 0, count * sizeof(int), &pbp_i[0], 0, nullptr, nullptr);
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if(err != CL_SUCCESS) {
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std::cerr << "OpenCL: Failed to write to d_pbp buffer\n";
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clReleaseMemObject(d_pbp);
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clReleaseMemObject(d_precomputed);
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clReleaseMemObject(d_filter_out);
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clReleaseCommandQueue(queue);
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return {};
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}
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*/
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kernel = clCreateKernel(program, "do_filter", &err);
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if(err != CL_SUCCESS) {
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std::cerr << "OpenCL: Failed to create kernel: ";
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switch(err) {
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case CL_INVALID_PROGRAM:
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std::cerr << "invalid program\n";
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break;
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case CL_INVALID_PROGRAM_EXECUTABLE:
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std::cerr << "invalid program executable\n";
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break;
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case CL_INVALID_KERNEL_NAME:
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std::cerr << "invalid kernel name\n";
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break;
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case CL_INVALID_KERNEL_DEFINITION:
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std::cerr << "invalid kernel definition\n";
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break;
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case CL_INVALID_VALUE:
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std::cerr << "invalid value\n";
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break;
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case CL_OUT_OF_RESOURCES:
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std::cerr << "out of resources\n";
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break;
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case CL_OUT_OF_HOST_MEMORY:
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std::cerr << "out of host memory\n";
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break;
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default:
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std::cerr << "unknown error\n";
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break;
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}
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clReleaseMemObject(d_pbp);
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clReleaseMemObject(d_precomputed);
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clReleaseMemObject(d_filter_out);
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clReleaseCommandQueue(queue);
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return {};
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}
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if(clSetKernelArg(kernel, 0, sizeof(cl_mem), &d_filter_out) != CL_SUCCESS) {
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std::cerr << "OpenCL: Failed to set kernel arg 0\n";
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clReleaseKernel(kernel);
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clReleaseMemObject(d_pbp);
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clReleaseMemObject(d_precomputed);
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clReleaseMemObject(d_filter_out);
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clReleaseCommandQueue(queue);
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return {};
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}
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if(clSetKernelArg(kernel, 1, sizeof(cl_mem), &d_precomputed) != CL_SUCCESS) {
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std::cerr << "OpenCL: Failed to set kernel arg 1\n";
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clReleaseKernel(kernel);
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clReleaseMemObject(d_pbp);
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clReleaseMemObject(d_precomputed);
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clReleaseMemObject(d_filter_out);
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clReleaseCommandQueue(queue);
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return {};
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}
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if(clSetKernelArg(kernel, 2, sizeof(cl_mem), &d_pbp) != CL_SUCCESS) {
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std::cerr << "OpenCL: Failed to set kernel arg 2\n";
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clReleaseKernel(kernel);
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clReleaseMemObject(d_pbp);
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clReleaseMemObject(d_precomputed);
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clReleaseMemObject(d_filter_out);
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clReleaseCommandQueue(queue);
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return {};
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}
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if(clSetKernelArg(kernel, 3, sizeof(int), &width) != CL_SUCCESS) {
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std::cerr << "OpenCL: Failed to set kernel arg 3\n";
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clReleaseKernel(kernel);
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clReleaseMemObject(d_pbp);
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clReleaseMemObject(d_precomputed);
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clReleaseMemObject(d_filter_out);
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clReleaseCommandQueue(queue);
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return {};
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}
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if(clSetKernelArg(kernel, 4, sizeof(int), &height) != CL_SUCCESS) {
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std::cerr << "OpenCL: Failed to set kernel arg 4\n";
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clReleaseKernel(kernel);
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clReleaseMemObject(d_pbp);
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clReleaseMemObject(d_precomputed);
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clReleaseMemObject(d_filter_out);
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clReleaseCommandQueue(queue);
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return {};
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}
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if(clSetKernelArg(kernel, 5, sizeof(int), &filter_size) != CL_SUCCESS) {
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std::cerr << "OpenCL: Failed to set kernel arg 4\n";
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clReleaseKernel(kernel);
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clReleaseMemObject(d_pbp);
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clReleaseMemObject(d_precomputed);
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clReleaseMemObject(d_filter_out);
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clReleaseCommandQueue(queue);
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return {};
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}
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if(clGetKernelWorkGroupInfo(kernel, device, CL_KERNEL_WORK_GROUP_SIZE, sizeof(std::size_t), &local_size, nullptr) != CL_SUCCESS) {
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std::cerr << "OpenCL: Failed to get work group size\n";
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clReleaseKernel(kernel);
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clReleaseMemObject(d_pbp);
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clReleaseMemObject(d_precomputed);
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clReleaseMemObject(d_filter_out);
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clReleaseCommandQueue(queue);
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return {};
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}
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global_size = (std::size_t)std::ceil(count / (float)local_size) * local_size;
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std::cout << "OpenCL: global = " << global_size << ", local = " << local_size
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<< std::endl;
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std::vector<float> filter(count);
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const auto get_filter = [&queue, &kernel, &global_size, &local_size,
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&d_filter_out, &d_pbp, &pbp, &pbp_i, &count, &filter, &err] () -> bool {
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for(unsigned int i = 0; i < pbp.size(); ++i) {
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pbp_i[i] = pbp[i] ? 1 : 0;
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}
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if(clEnqueueWriteBuffer(queue, d_pbp, CL_TRUE, 0, count * sizeof(int), &pbp_i[0], 0, nullptr, nullptr) != CL_SUCCESS) {
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std::cerr << "OpenCL: Failed to write to d_pbp buffer\n";
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return false;
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}
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if(err = clEnqueueNDRangeKernel(
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queue, kernel, 1, nullptr, &global_size, &local_size,
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0, nullptr, nullptr); err != CL_SUCCESS) {
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std::cerr << "OpenCL: Failed to enqueue task: ";
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switch(err) {
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case CL_INVALID_PROGRAM_EXECUTABLE:
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std::cerr << "invalid program executable\n";
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break;
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case CL_INVALID_COMMAND_QUEUE:
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std::cerr << "invalid command queue\n";
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break;
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case CL_INVALID_KERNEL:
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std::cerr << "invalid kernel\n";
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break;
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case CL_INVALID_CONTEXT:
|
|
std::cerr << "invalid context\n";
|
|
break;
|
|
case CL_INVALID_KERNEL_ARGS:
|
|
std::cerr << "invalid kernel args\n";
|
|
break;
|
|
case CL_INVALID_WORK_DIMENSION:
|
|
std::cerr << "invalid work dimension\n";
|
|
break;
|
|
case CL_INVALID_GLOBAL_WORK_SIZE:
|
|
std::cerr << "invalid global work size\n";
|
|
break;
|
|
case CL_INVALID_GLOBAL_OFFSET:
|
|
std::cerr << "invalid global offset\n";
|
|
break;
|
|
case CL_INVALID_WORK_GROUP_SIZE:
|
|
std::cerr << "invalid work group size\n";
|
|
break;
|
|
case CL_INVALID_WORK_ITEM_SIZE:
|
|
std::cerr << "invalid work item size\n";
|
|
break;
|
|
case CL_MISALIGNED_SUB_BUFFER_OFFSET:
|
|
std::cerr << "misaligned sub buffer offset\n";
|
|
break;
|
|
default:
|
|
std::cerr << "Unknown\n";
|
|
break;
|
|
}
|
|
return false;
|
|
}
|
|
|
|
clFinish(queue);
|
|
|
|
clEnqueueReadBuffer(queue, d_filter_out, CL_TRUE, 0, count * sizeof(float), &filter[0], 0, nullptr, nullptr);
|
|
|
|
return true;
|
|
};
|
|
|
|
{
|
|
printf("Inserting %d pixels into image of max count %d\n", pixel_count, count);
|
|
// generate image from randomized pbp
|
|
FILE *random_noise_image = fopen("random_noise.pbm", "w");
|
|
fprintf(random_noise_image, "P1\n%d %d\n", width, height);
|
|
for(int y = 0; y < height; ++y) {
|
|
for(int x = 0; x < width; ++x) {
|
|
fprintf(random_noise_image, "%d ", pbp[utility::twoToOne(x, y, width, height)] ? 1 : 0);
|
|
}
|
|
fputc('\n', random_noise_image);
|
|
}
|
|
fclose(random_noise_image);
|
|
}
|
|
|
|
if(!get_filter()) {
|
|
std::cerr << "OpenCL: Failed to execute do_filter (at start)\n";
|
|
clReleaseKernel(kernel);
|
|
clReleaseMemObject(d_pbp);
|
|
clReleaseMemObject(d_precomputed);
|
|
clReleaseMemObject(d_filter_out);
|
|
clReleaseCommandQueue(queue);
|
|
return {};
|
|
} else {
|
|
internal::write_filter(filter, width, "filter_out_start.pgm");
|
|
}
|
|
|
|
int iterations = 0;
|
|
|
|
while(true) {
|
|
printf("Iteration %d\n", ++iterations);
|
|
|
|
if(!get_filter()) {
|
|
std::cerr << "OpenCL: Failed to execute do_filter\n";
|
|
break;
|
|
}
|
|
|
|
int min, max, min_zero, max_one;
|
|
std::tie(min, max) = internal::filter_minmax(filter);
|
|
if(!pbp[max]) {
|
|
max_one = internal::get_one_or_zero(pbp, true, max, width, height);
|
|
} else {
|
|
max_one = max;
|
|
}
|
|
if(!pbp[max_one]) {
|
|
std::cerr << "ERROR: Failed to find pbp[max] one" << std::endl;
|
|
break;
|
|
}
|
|
|
|
if(pbp[min]) {
|
|
min_zero = internal::get_one_or_zero(pbp, false, min, width, height);
|
|
} else {
|
|
min_zero = min;
|
|
}
|
|
if(pbp[min_zero]) {
|
|
std::cerr << "ERROR: Failed to find pbp[min] zero" << std::endl;
|
|
break;
|
|
}
|
|
|
|
pbp[max_one] = false;
|
|
|
|
if(!get_filter()) {
|
|
std::cerr << "OpenCL: Failed to execute do_filter\n";
|
|
break;
|
|
}
|
|
|
|
// get second buffer's min
|
|
int second_min;
|
|
std::tie(second_min, std::ignore) = internal::filter_minmax(filter);
|
|
if(pbp[second_min]) {
|
|
second_min = internal::get_one_or_zero(pbp, false, second_min, width, height);
|
|
if(pbp[second_min]) {
|
|
std::cerr << "ERROR: Failed to find pbp[second_min] zero" << std::endl;
|
|
break;
|
|
}
|
|
}
|
|
|
|
if(utility::dist(max_one, second_min, width) < 1.5f) {
|
|
pbp[max_one] = true;
|
|
break;
|
|
} else {
|
|
pbp[min_zero] = true;
|
|
}
|
|
|
|
if(iterations % 100 == 0) {
|
|
// generate blue_noise image from pbp
|
|
FILE *blue_noise_image = fopen("blue_noise.pbm", "w");
|
|
fprintf(blue_noise_image, "P1\n%d %d\n", width, height);
|
|
for(int y = 0; y < height; ++y) {
|
|
for(int x = 0; x < width; ++x) {
|
|
fprintf(blue_noise_image, "%d ", pbp[utility::twoToOne(x, y, width, height)] ? 1 : 0);
|
|
}
|
|
fputc('\n', blue_noise_image);
|
|
}
|
|
fclose(blue_noise_image);
|
|
}
|
|
}
|
|
|
|
if(!get_filter()) {
|
|
std::cerr << "OpenCL: Failed to execute do_filter (at end)\n";
|
|
} else {
|
|
internal::write_filter(filter, width, "filter_out_final.pgm");
|
|
FILE *blue_noise_image = fopen("blue_noise.pbm", "w");
|
|
fprintf(blue_noise_image, "P1\n%d %d\n", width, height);
|
|
for(int y = 0; y < height; ++y) {
|
|
for(int x = 0; x < width; ++x) {
|
|
fprintf(blue_noise_image, "%d ", pbp[utility::twoToOne(x, y, width, height)] ? 1 : 0);
|
|
}
|
|
fputc('\n', blue_noise_image);
|
|
}
|
|
fclose(blue_noise_image);
|
|
}
|
|
|
|
clReleaseKernel(kernel);
|
|
clReleaseMemObject(d_pbp);
|
|
clReleaseMemObject(d_precomputed);
|
|
clReleaseMemObject(d_filter_out);
|
|
clReleaseCommandQueue(queue);
|
|
return pbp;
|
|
}
|