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696 lines (586 loc) · 31 KB
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// Jaakko Astikainen 2024
// Include necessary headers
#include "lodepng/lodepng.h"
#include <stdlib.h>
#include <stdio.h>
#include <math.h>
#include <time.h>
#include <CL/cl.h>
#include <string.h>
#include <stdbool.h>
#include "project.h"
cl_program load_kernel(const char* kernel_file, cl_context context, cl_device_id device);
cl_kernel create_kernel(cl_program program, const char* kernel_name);
void write_grayscale_image(const char* filename, const unsigned char* image, unsigned width, unsigned height);
unsigned char* read_image(const char* filename, unsigned* width, unsigned* height);
double profiling_info(cl_event event);
cl_mem createImageObjectFromData(cl_context context, unsigned char* imageData, unsigned int width, unsigned int height);
void debug_write_image(const char* filename, cl_context context, cl_command_queue queue, cl_mem buffer, unsigned int width, unsigned int height);
int main(void)
{
// OpenCL variables
cl_platform_id platform;
cl_device_id devices[2];
cl_device_id device;
cl_context context;
cl_command_queue queue;
cl_program program;
cl_kernel downsample_kernel_left, downsample_kernel_right, grayscale_kernel_left, grayscale_kernel_right, disparity_kernel_left, disparity_kernel_right, cross_check_kernel, occlusion_fill_kernel;
int num_platforms;
cl_platform_id* platforms;
cl_int err = CL_SUCCESS;
cl_int ret;
// Image variables
unsigned char *left_image, *right_image;
unsigned width, height;
// Read images
left_image = read_image("im0.png", &width, &height);
right_image = read_image("im1.png", &width, &height);
unsigned new_width = width/DOWN_RATIO;
unsigned new_height= height/DOWN_RATIO;
unsigned char *depth_map = (unsigned char*)(malloc(sizeof(unsigned char) * new_height * new_width));
int scaled_ndisp = 260 / DOWN_RATIO;
//---------------------------------------------------------------------------------------------------------
// Set up OpenCL environment
// Initialize platform, device, context, and command queue
int num_max_platforms = 2;
err = clGetPlatformIDs(num_max_platforms, NULL, &num_platforms);
printf("Num platforms detected: %d\n", num_platforms);
platforms = (cl_platform_id*) malloc(sizeof(cl_platform_id) * num_platforms);
err = clGetPlatformIDs(num_max_platforms, platforms, &num_platforms);
if(num_platforms < 1)
{
printf("No platform detected, exit\n");
exit(1);
}
cl_uint num_devices = 2;
err = clGetDeviceIDs(platforms[0], CL_DEVICE_TYPE_ALL, 2, devices, &num_devices);
context = clCreateContext(NULL, num_devices, devices, NULL, NULL, &err);
device = devices[0];
queue = clCreateCommandQueue(context, device, CL_QUEUE_PROFILING_ENABLE, &err);
// Get device info
cl_device_local_mem_type local_mem_type;
cl_ulong local_mem_size;
cl_uint max_compute_units;
cl_uint max_clock_frequency;
cl_ulong max_constant_buffer_size;
size_t max_work_group_size;
size_t max_work_item_sizes[3];
cl_uint im_support;
char platform_name[1024];
char device_name[1024];
bool nvidia_flag = false;
// Check device image support
ret = clGetDeviceInfo(device, CL_DEVICE_IMAGE_SUPPORT, sizeof(cl_uint), NULL, NULL);
if (ret != CL_SUCCESS )
{
printf("Device does not support image format\n");
nvidia_flag = true;
}
// Get platform name
ret = clGetPlatformInfo(platforms[0], CL_PLATFORM_NAME, sizeof(platform_name), platform_name, NULL);
if (ret != CL_SUCCESS) {
printf("Error getting platform name\n");
return 1;
}
// Get device name
ret = clGetDeviceInfo(device, CL_DEVICE_NAME, sizeof(device_name), device_name, NULL);
if (ret != CL_SUCCESS) {
printf("Error getting device name\n");
return 1;
}
// Get device local memory type
ret = clGetDeviceInfo(device, CL_DEVICE_LOCAL_MEM_TYPE, sizeof(cl_device_local_mem_type), &local_mem_type, NULL);
if (ret != CL_SUCCESS) {
printf("Error getting device local memory type\n");
return 1;
}
// Get device local memory size
ret = clGetDeviceInfo(device, CL_DEVICE_LOCAL_MEM_SIZE, sizeof(cl_ulong), &local_mem_size, NULL);
if (ret != CL_SUCCESS) {
printf("Error getting device local memory size\n");
return 1;
}
// Get device max compute units
ret = clGetDeviceInfo(device, CL_DEVICE_MAX_COMPUTE_UNITS, sizeof(cl_uint), &max_compute_units, NULL);
if (ret != CL_SUCCESS) {
printf("Error getting device max compute units\n");
return 1;
}
// Get device max clock frequency
ret = clGetDeviceInfo(device, CL_DEVICE_MAX_CLOCK_FREQUENCY, sizeof(cl_uint), &max_clock_frequency, NULL);
if (ret != CL_SUCCESS) {
printf("Error getting device max clock frequency\n");
return 1;
}
// Get device max constant buffer size
ret = clGetDeviceInfo(device, CL_DEVICE_MAX_CONSTANT_BUFFER_SIZE, sizeof(cl_ulong), &max_constant_buffer_size, NULL);
if (ret != CL_SUCCESS) {
printf("Error getting device max constant buffer size\n");
return 1;
}
// Get device max work group size
ret = clGetDeviceInfo(device, CL_DEVICE_MAX_WORK_GROUP_SIZE, sizeof(size_t), &max_work_group_size, NULL);
if (ret != CL_SUCCESS) {
printf("Error getting device max work group size\n");
return 1;
}
// Get device max work item sizes
ret = clGetDeviceInfo(device, CL_DEVICE_MAX_WORK_ITEM_SIZES, sizeof(size_t) * 3, max_work_item_sizes, NULL);
if (ret != CL_SUCCESS) {
printf("Error getting device max work item sizes\n");
return 1;
}
// Print out the device info
printf("Using OpenCL Platform : %s\n", platform_name);
printf("Using GPU Device : %s\n", device_name);
printf("Device Local Memory Type: %d\n", local_mem_type);
printf("Device Local Memory Size: %llu bytes\n", local_mem_size);
printf("Device Max Compute Units: %u\n", max_compute_units);
printf("Device Max Clock Frequency: %u MHz\n", max_clock_frequency);
printf("Device Max Constant Buffer Size: %llu bytes\n", max_constant_buffer_size);
printf("Device Max Work Group Size: %zu\n", max_work_group_size);
printf("Device Max Work Item Sizes: %zu, %zu, %zu\n", max_work_item_sizes[0], max_work_item_sizes[1], max_work_item_sizes[2]);
size_t global_work_size[2];
size_t local_work_size[2];
// Set local work size based on the device's max work group size
if (nvidia_flag)
{
local_work_size[0] = LOCAL_WORK_SIZE_NVIDIA;
local_work_size[1] = LOCAL_WORK_SIZE_NVIDIA;
}
else
{
local_work_size[0] = LOCAL_WORK_SIZE_INTEL;
local_work_size[1] = LOCAL_WORK_SIZE_INTEL;
}
// Ensure local work size does not exceed device's max work group size
if (local_work_size[0] > max_work_group_size) {
local_work_size[0] = max_work_group_size;
}
if (local_work_size[1] > max_work_group_size) {
local_work_size[1] = max_work_group_size;
}
// Ensure global work size is a multiple of local work size
global_work_size[0] = ((width + local_work_size[0] - 1) / local_work_size[0]) * local_work_size[0];
global_work_size[1] = ((height + local_work_size[1] - 1) / local_work_size[1]) * local_work_size[1];
printf("Local work sizes: %d %d\n", local_work_size[0], local_work_size[1]);
printf("Global work sizes: %d %d\n", global_work_size[0], global_work_size[1]);
//---------------------------------------------------------------------------------------------------------
// Load kernels
if (nvidia_flag)
program = load_kernel("project_kernel_nvidia.cl", context, device);
else
program = load_kernel("project_kernel.cl", context, device);
// Create kernels
downsample_kernel_left = create_kernel(program, "downsample");
downsample_kernel_right = create_kernel(program, "downsample");
grayscale_kernel_left = create_kernel(program, "to_grayscale");
grayscale_kernel_right = create_kernel(program, "to_grayscale");
disparity_kernel_left = create_kernel(program, "compute_disparity_map");
disparity_kernel_right = create_kernel(program, "compute_disparity_map");
cross_check_kernel = create_kernel(program, "cross_checking");
occlusion_fill_kernel = create_kernel(program, "occlusion_filling");
// Allocate memory buffers on the GPU
cl_mem left_image_buffer, right_image_buffer;
cl_mem left_downsample_buffer, right_downsample_buffer;
cl_mem left_gray_buffer, right_gray_buffer;
cl_mem left_disparity_map_buffer, right_disparity_map_buffer;
cl_mem cross_check_buffer;
cl_mem occlusion_map_buffer;
// Create OpenCL buffers for processing
// left_downsample_buffer = clCreateBuffer(context, CL_MEM_READ_WRITE,
// sizeof(unsigned char) * new_width * new_height * 4, NULL, &err);
// right_downsample_buffer = clCreateBuffer(context, CL_MEM_READ_WRITE,
// sizeof(unsigned char) * new_width * new_height * 4, NULL, &err);
left_gray_buffer = clCreateBuffer(context, CL_MEM_READ_WRITE,
sizeof(unsigned char) * new_width * new_height, NULL, &err);
right_gray_buffer = clCreateBuffer(context, CL_MEM_READ_WRITE,
sizeof(unsigned char) * new_width * new_height, NULL, &err);
left_disparity_map_buffer = clCreateBuffer(context, CL_MEM_READ_WRITE,
sizeof(unsigned char) * new_width * new_height, NULL, &err);
right_disparity_map_buffer = clCreateBuffer(context, CL_MEM_READ_WRITE,
sizeof(unsigned char) * new_width * new_height, NULL, &err);
cross_check_buffer = clCreateBuffer(context, CL_MEM_READ_WRITE,
sizeof(unsigned char) * new_width * new_height, NULL, &err);
occlusion_map_buffer = clCreateBuffer(context, CL_MEM_WRITE_ONLY,
sizeof(unsigned char) * new_width * new_height, NULL, &err);
if (err != CL_SUCCESS)
{
fprintf(stderr, "Failed to create OpenCL buffers: %d\n", err);
exit(EXIT_FAILURE);
}
//---------------------------------------------------------------------------------------------------------
// Transfer images from host to GPU memory
// Enqueue commands to transfer left_image and right_image to GPU buffers
unsigned char* downsampled_left = (unsigned char*)(malloc(sizeof(unsigned char)*new_height*new_width*4));
unsigned char* downsampled_right = (unsigned char*)(malloc(sizeof(unsigned char)*new_height*new_width*4));
// Create image objects for input and downsampled images
if (!nvidia_flag)
{
left_image_buffer = createImageObjectFromData(context, left_image, width, height);
right_image_buffer = createImageObjectFromData(context, right_image, width, height);
left_downsample_buffer = createImageObjectFromData(context, downsampled_left, new_width, new_height);
right_downsample_buffer = createImageObjectFromData(context, downsampled_right, new_width, new_height);
}
else
{
left_image_buffer = clCreateBuffer(context, CL_MEM_READ_WRITE,
sizeof(unsigned char) * width * height * 4, NULL, &err);
right_image_buffer = clCreateBuffer(context, CL_MEM_READ_WRITE,
sizeof(unsigned char) * width * height * 4, NULL, &err);
left_downsample_buffer = clCreateBuffer(context, CL_MEM_READ_WRITE,
sizeof(unsigned char) * new_width * new_height * 4, NULL, &err);
right_downsample_buffer = clCreateBuffer(context, CL_MEM_READ_WRITE,
sizeof(unsigned char) * new_width * new_height * 4, NULL, &err);
clEnqueueWriteBuffer(queue, left_image_buffer, CL_TRUE, 0, sizeof(unsigned char) * width * height * 4, left_image, 0, NULL, NULL);
clEnqueueWriteBuffer(queue, right_image_buffer, CL_TRUE, 0, sizeof(unsigned char) * width * height * 4, right_image, 0, NULL, NULL);
}
if (err != CL_SUCCESS)
{
fprintf(stderr, "Failed to create image buffers: %d\n", err);
exit(EXIT_FAILURE);
}
//---------------------------------------------------------------------------------------------------------
// Execute downsampling and grayscale kernels
// Enqueue commands to execute the downsampling and grayscale kernels
cl_event downsample_event_left, downsample_event_right, grayscale_event_left, grayscale_event_right;
// Set kernel arguments
clSetKernelArg(downsample_kernel_left, 0, sizeof(cl_mem), &left_image_buffer);
clSetKernelArg(downsample_kernel_left, 1, sizeof(unsigned), &width);
clSetKernelArg(downsample_kernel_left, 2, sizeof(unsigned), &height);
clSetKernelArg(downsample_kernel_left, 3, sizeof(unsigned), &new_width);
clSetKernelArg(downsample_kernel_left, 4, sizeof(unsigned), &new_height);
clSetKernelArg(downsample_kernel_left, 5, sizeof(cl_mem), &left_downsample_buffer);
clSetKernelArg(downsample_kernel_right, 0, sizeof(cl_mem), &right_image_buffer);
clSetKernelArg(downsample_kernel_right, 1, sizeof(unsigned), &width);
clSetKernelArg(downsample_kernel_right, 2, sizeof(unsigned), &height);
clSetKernelArg(downsample_kernel_right, 3, sizeof(unsigned), &new_width);
clSetKernelArg(downsample_kernel_right, 4, sizeof(unsigned), &new_height);
clSetKernelArg(downsample_kernel_right, 5, sizeof(cl_mem), &right_downsample_buffer);
clSetKernelArg(grayscale_kernel_left, 0, sizeof(cl_mem), &left_downsample_buffer);
clSetKernelArg(grayscale_kernel_left, 1, sizeof(unsigned), &new_width);
clSetKernelArg(grayscale_kernel_left, 2, sizeof(unsigned), &new_height);
clSetKernelArg(grayscale_kernel_left, 3, sizeof(cl_mem), &left_gray_buffer);
clSetKernelArg(grayscale_kernel_right, 0, sizeof(cl_mem), &right_downsample_buffer);
clSetKernelArg(grayscale_kernel_right, 1, sizeof(unsigned), &new_width);
clSetKernelArg(grayscale_kernel_right, 2, sizeof(unsigned), &new_height);
clSetKernelArg(grayscale_kernel_right, 3, sizeof(cl_mem), &right_gray_buffer);
// Enqueue commands to execute downsampling kernel
err = clEnqueueNDRangeKernel(queue, downsample_kernel_left, 2, NULL,
global_work_size, local_work_size, 0, NULL, &downsample_event_left);
err = clEnqueueNDRangeKernel(queue, downsample_kernel_right, 2, NULL,
global_work_size, local_work_size, 0, NULL, &downsample_event_right);
if (err != CL_SUCCESS) {
fprintf(stderr, "Failed to execute downsampling kernel: %d\n", err);
exit(EXIT_FAILURE);
}
// Wait for the downsampling kernel to finish before grayscale
clWaitForEvents(1, &downsample_event_left);
clWaitForEvents(1, &downsample_event_right);
double downsample_exec_left = profiling_info(downsample_event_left);
double downsample_exec_right = profiling_info(downsample_event_left);
printf("Images downsampled in: %.10f seconds\n", downsample_exec_left+downsample_exec_right);
// Enqueue commands to execute grayscale kernel
err = clEnqueueNDRangeKernel(queue, grayscale_kernel_left, 2, NULL,
global_work_size, local_work_size, 0, NULL, &grayscale_event_left);
err = clEnqueueNDRangeKernel(queue, grayscale_kernel_right, 2, NULL,
global_work_size, local_work_size, 0, NULL, &grayscale_event_right);
if (err != CL_SUCCESS) {
fprintf(stderr, "Failed to execute grayscale kernel: %d\n", err);
exit(EXIT_FAILURE);
}
// Wait for the grayscale kernel to finish before stereo disparity
clWaitForEvents(1, &grayscale_event_left);
clWaitForEvents(1, &grayscale_event_right);
double grayscale_exec_left = profiling_info(grayscale_event_left);
double grayscale_exec_right = profiling_info(grayscale_event_right);
printf("Images grayscaled in: %.10f seconds\n", grayscale_exec_left+grayscale_exec_right);
// debug_write_image("debug_greyscale_right.png", context, queue, right_gray_buffer, new_width, new_height);
// debug_write_image("debug_greyscale_left.png", context, queue, left_gray_buffer, new_width, new_height);
//---------------------------------------------------------------------------------------------------------
// Execute disparity kernel
int direction_left = 0;
int direction_right = 1;
// Set kernel arguments for disparity calculation
clSetKernelArg(disparity_kernel_left, 0, sizeof(cl_mem), &left_gray_buffer);
clSetKernelArg(disparity_kernel_left, 1, sizeof(cl_mem), &right_gray_buffer);
clSetKernelArg(disparity_kernel_left, 2, sizeof(unsigned), &new_width);
clSetKernelArg(disparity_kernel_left, 3, sizeof(unsigned), &new_height);
clSetKernelArg(disparity_kernel_left, 4, sizeof(int), &direction_left);
clSetKernelArg(disparity_kernel_left, 5, sizeof(int), &scaled_ndisp);
clSetKernelArg(disparity_kernel_left, 6, sizeof(cl_mem), &left_disparity_map_buffer);
clSetKernelArg(disparity_kernel_right, 0, sizeof(cl_mem), &right_gray_buffer);
clSetKernelArg(disparity_kernel_right, 1, sizeof(cl_mem), &left_gray_buffer);
clSetKernelArg(disparity_kernel_right, 2, sizeof(unsigned), &new_width);
clSetKernelArg(disparity_kernel_right, 3, sizeof(unsigned), &new_height);
clSetKernelArg(disparity_kernel_right, 4, sizeof(int), &direction_right);
clSetKernelArg(disparity_kernel_right, 5, sizeof(int), &scaled_ndisp);
clSetKernelArg(disparity_kernel_right, 6, sizeof(cl_mem), &right_disparity_map_buffer);
// Enqueue commands to execute the disparity kernels
cl_event disparity_event_left, disparity_event_right;
// Enqueue command to execute the left disparity kernel
err = clEnqueueNDRangeKernel(queue, disparity_kernel_left, 2, NULL,
global_work_size, local_work_size, 0, NULL, &disparity_event_left);
if (err != CL_SUCCESS) {
fprintf(stderr, "Failed to execute left disparity kernel: %d\n", err);
exit(EXIT_FAILURE);
}
// Enqueue command to execute the right disparity kernel
err = clEnqueueNDRangeKernel(queue, disparity_kernel_right, 2, NULL,
global_work_size, local_work_size, 0, NULL, &disparity_event_right);
if (err != CL_SUCCESS) {
fprintf(stderr, "Failed to execute right disparity kernel: %d\n", err);
exit(EXIT_FAILURE);
}
// Wait for both disparity kernels to finish
clWaitForEvents(1, &disparity_event_left);
clWaitForEvents(1, &disparity_event_right);
// Calculate execution times for each kernel
double disparity_exec_left = profiling_info(disparity_event_left);
double disparity_exec_right = profiling_info(disparity_event_right);
printf("Disparity maps calculated in: %.10f seconds\n", disparity_exec_right+disparity_exec_left);
// debug_write_image("debug_disparity_right.png", context, queue, right_disparity_map_buffer, new_width, new_height);
// debug_write_image("debug_disparity_left.png", context, queue, left_disparity_map_buffer, new_width, new_height);
//---------------------------------------------------------------------------------------------------------
// Execute cross-checking and occlusion filling kernels
// Enqueue commands to execute the cross-checking and occlusion filling kernels
cl_event cross_checking_event, occlusion_filling_event;
int threshold = THRESHOLD;
// Set kernel arguments
clSetKernelArg(cross_check_kernel, 0, sizeof(cl_mem), &left_disparity_map_buffer);
clSetKernelArg(cross_check_kernel, 1, sizeof(cl_mem), &right_disparity_map_buffer);
clSetKernelArg(cross_check_kernel, 2, sizeof(cl_mem), &cross_check_buffer);
clSetKernelArg(cross_check_kernel, 3, sizeof(unsigned), &new_width);
clSetKernelArg(cross_check_kernel, 4, sizeof(unsigned), &new_height);
clSetKernelArg(cross_check_kernel, 5, sizeof(int), &threshold);
clSetKernelArg(cross_check_kernel, 6, sizeof(int), &scaled_ndisp);
// Enqueue commands to execute the cross-checking kernel
err = clEnqueueNDRangeKernel(queue, cross_check_kernel, 2, NULL,
global_work_size, local_work_size, 0, NULL, &cross_checking_event);
if (err != CL_SUCCESS) {
fprintf(stderr, "Failed to execute cross-checking kernel: %d\n", err);
exit(EXIT_FAILURE);
}
// Wait for the cross-checking kernel to finish
clWaitForEvents(1, &cross_checking_event);
double crosscheck_exec = profiling_info(cross_checking_event);
// debug_write_image("debug_cross_check.png", context, queue, cross_check_buffer, new_width, new_height);
int max_radius = MAX_RADIUS;
// Set kernel arguments for occlusion filling
clSetKernelArg(occlusion_fill_kernel, 0, sizeof(cl_mem), &cross_check_buffer);
clSetKernelArg(occlusion_fill_kernel, 1, sizeof(cl_mem), &occlusion_map_buffer);
clSetKernelArg(occlusion_fill_kernel, 2, sizeof(unsigned), &new_width);
clSetKernelArg(occlusion_fill_kernel, 3, sizeof(unsigned), &new_height);
clSetKernelArg(occlusion_fill_kernel, 4, sizeof(unsigned), &max_radius);
// Enqueue commands to execute the occlusion filling kernel
err = clEnqueueNDRangeKernel(queue, occlusion_fill_kernel, 2, NULL,
global_work_size, local_work_size, 0, NULL, &occlusion_filling_event);
if (err != CL_SUCCESS) {
fprintf(stderr, "Failed to execute occlusion filling kernel: %d\n", err);
exit(EXIT_FAILURE);
}
// Wait for the occlusion filling kernel to finish
clWaitForEvents(1, &occlusion_filling_event);
double occlusion_exec = profiling_info(occlusion_filling_event);
printf("Post-processing done in: %.10f seconds\n", occlusion_exec+crosscheck_exec);
// debug_write_image("debug_occlusion.png", context, queue, occlusion_map_buffer, new_width, new_height);
//---------------------------------------------------------------------------------------------------------
// Transfer processed disparity map from GPU to host memory
// Enqueue commands to transfer the processed disparity map from GPU to host
// Define the size of the disparity map buffer in bytes
size_t disparity_map_size = new_width * new_height * sizeof(unsigned char);
// Create a buffer on the host to store the processed disparity map
unsigned char* host_disparity_map = (unsigned char*)malloc(disparity_map_size);
if (!host_disparity_map) {
fprintf(stderr, "Failed to allocate memory for host disparity map\n");
exit(EXIT_FAILURE);
}
cl_event reading_event;
// Enqueue reading event
err = clEnqueueReadBuffer(queue, occlusion_map_buffer, CL_TRUE, 0, new_width * new_height * sizeof(unsigned char), host_disparity_map, 0, NULL, &reading_event);
if (err != CL_SUCCESS) {
fprintf(stderr, "Error reading buffer: %d\n", err);
exit(EXIT_FAILURE);
}
// Wait for the read event to complete
clWaitForEvents(1, &reading_event);
//---------------------------------------------------------------------------------------------------------
// At this point, the host_disparity_map buffer contains the processed disparity map data
// Write processed disparity map to disk
write_grayscale_image("disparity_map.png", host_disparity_map, new_width, new_height);
// Release OpenCL resources
clReleaseKernel(downsample_kernel_left);
clReleaseKernel(downsample_kernel_right);
clReleaseKernel(grayscale_kernel_left);
clReleaseKernel(grayscale_kernel_right);
clReleaseKernel(disparity_kernel_left);
clReleaseKernel(disparity_kernel_right);
clReleaseKernel(cross_check_kernel);
clReleaseKernel(occlusion_fill_kernel);
clReleaseProgram(program);
clReleaseCommandQueue(queue);
clReleaseContext(context);
// Free allocated memory
free(left_image);
free(right_image);
free(host_disparity_map);
clReleaseMemObject(left_image_buffer);
clReleaseMemObject(right_image_buffer);
clReleaseMemObject(left_disparity_map_buffer);
clReleaseMemObject(right_disparity_map_buffer);
clReleaseMemObject(right_downsample_buffer);
clReleaseMemObject(left_downsample_buffer);
clReleaseMemObject(left_gray_buffer);
clReleaseMemObject(right_gray_buffer);
clReleaseMemObject(cross_check_buffer);
clReleaseMemObject(occlusion_map_buffer);
// Check for errors and handle exceptions
if (err != CL_SUCCESS) {
printf("Error %d occurred during cleanup\n", err);
exit(EXIT_FAILURE);
}
return 0;
}
// Function to load OpenCL kernel from file
cl_program load_kernel(const char* kernel_file, cl_context context, cl_device_id device) {
// Read kernel source code from file
FILE* file = fopen(kernel_file, "rb");
if (!file) {
fprintf(stderr, "Failed to open kernel file\n");
exit(EXIT_FAILURE);
}
fseek(file, 0, SEEK_END);
size_t source_size = ftell(file);
rewind(file);
char* source_code = (char*)malloc(source_size + 1);
if (!source_code) {
fclose(file);
fprintf(stderr, "Memory allocation failed\n");
exit(EXIT_FAILURE);
}
fread(source_code, sizeof(char), source_size, file);
source_code[source_size] = '\0';
fclose(file);
// Create OpenCL program from source code
cl_int err;
cl_program program = clCreateProgramWithSource(context, 1, (const char**)&source_code, &source_size, &err);
if (err != CL_SUCCESS) {
fprintf(stderr, "Failed to create OpenCL program\n");
exit(EXIT_FAILURE);
}
// Build the program
err = clBuildProgram(program, 1, &device, NULL, NULL, NULL);
if (err != CL_SUCCESS) {
fprintf(stderr, "Failed to build OpenCL program\n");
size_t log_size;
clGetProgramBuildInfo(program, device, CL_PROGRAM_BUILD_LOG, 0, NULL, &log_size);
char* log = (char*)malloc(log_size);
clGetProgramBuildInfo(program, device, CL_PROGRAM_BUILD_LOG, log_size, log, NULL);
fprintf(stderr, "Build log:\n%s\n", log);
free(log);
exit(EXIT_FAILURE);
}
free(source_code);
return program;
}
// Function to create an OpenCL kernel
cl_kernel create_kernel(cl_program program, const char* kernel_name) {
cl_int err;
cl_kernel kernel = clCreateKernel(program, kernel_name, &err);
if (err != CL_SUCCESS) {
fprintf(stderr, "Failed to create kernel: %s\n", kernel_name);
exit(EXIT_FAILURE);
}
return kernel;
}
// Function to write a grayscale image to disk
void write_grayscale_image(const char* filename, const unsigned char* image, unsigned width, unsigned height) {
// Write the grayscale image to the file
unsigned error = lodepng_encode_file(filename, image, width, height, LCT_GREY, 8);
if (error) {
printf("Error %u: %s\n", error, lodepng_error_text(error));
printf("Failed to write image to file: %s\n", filename);
exit(EXIT_FAILURE);
} else {
printf("Image written successfully: %s\n", filename);
}
}
// Function to read an image from disk
unsigned char* read_image(const char* filename, unsigned* width, unsigned* height) {
unsigned error;
unsigned char* image;
error = lodepng_decode32_file(&image, width, height, filename);
if (error) {
printf("Error %u: %s\n", error, lodepng_error_text(error));
printf("Failed to read image from file: %s\n", filename);
exit(EXIT_FAILURE);
} else {
printf("Image read successfully: %s\n", filename);
}
return image;
}
// Function for even profiling
double profiling_info(cl_event event)
{
cl_ulong start, end;
cl_int err;
err = clGetEventProfilingInfo(event, CL_PROFILING_COMMAND_START, sizeof(cl_ulong), &start, NULL);
err |= clGetEventProfilingInfo(event, CL_PROFILING_COMMAND_END, sizeof(cl_ulong), &end, NULL);
if (err != CL_SUCCESS) {
printf("Failed to get profiling information\n");
}
// Calculate kernel execution time
double kernel_exec_time = (end - start) * 1.0e-9; // Convert nanoseconds to seconds
return kernel_exec_time;
}
// Create OpenCL image object from image data
cl_mem createImageObjectFromData(cl_context context, unsigned char* imageData, unsigned int width, unsigned int height) {
cl_image_format format;
format.image_channel_order = CL_RGBA;
format.image_channel_data_type = CL_UNSIGNED_INT8;
cl_image_desc desc;
desc.image_type = CL_MEM_OBJECT_IMAGE2D;
desc.image_width = width;
desc.image_height = height;
desc.image_row_pitch = 0;
desc.image_slice_pitch = 0;
desc.num_mip_levels = 0;
desc.num_samples = 0;
desc.buffer = NULL;
cl_mem image = clCreateImage(context, CL_MEM_READ_WRITE | CL_MEM_COPY_HOST_PTR, &format, &desc, imageData, NULL);
if (!image) {
printf("Error creating RGBA OpenCL image object\n");
return NULL;
}
return image;
}
// Read images from buffers and write to disk
void debug_write_image(const char* filename, cl_context context, cl_command_queue queue, cl_mem buffer, unsigned int width, unsigned int height) {
// Define variables for reading buffer
unsigned char* host_image = (unsigned char*)malloc(width * height * sizeof(unsigned char));
if (!host_image) {
fprintf(stderr, "Failed to allocate memory for host image buffer\n");
exit(EXIT_FAILURE);
}
// Enqueue command to read buffer from GPU to host
cl_event read_event;
cl_int err = clEnqueueReadBuffer(queue, buffer, CL_TRUE, 0, width * height * sizeof(unsigned char), host_image, 0, NULL, &read_event);
if (err != CL_SUCCESS) {
fprintf(stderr, "Error reading buffer: %d\n", err);
exit(EXIT_FAILURE);
}
// Wait for the read event to complete
clWaitForEvents(1, &read_event);
// Write the image to disk
unsigned error = lodepng_encode_file(filename, host_image, width, height, LCT_GREY, 8);
if (error) {
printf("Error %u: %s\n", error, lodepng_error_text(error));
printf("Failed to write image to file: %s\n", filename);
exit(EXIT_FAILURE);
} else {
printf("Image written successfully: %s\n", filename);
}
// Free allocated memory
free(host_image);
}