diff --git a/code.cpp b/code.cpp new file mode 100644 index 000000000..08f4f5553 --- /dev/null +++ b/code.cpp @@ -0,0 +1,63 @@ +#include +#include +#include +#include + +namespace sycl = cl::sycl; + +int main() { + // Specify the path to the MRI image file + std::string imagePath = "mriimage.jpg"; + + // Load the MRI image using OpenCV + cv::Mat image = cv::imread(imagePath, cv::IMREAD_GRAYSCALE); + + // Create a SYCL queue + sycl::queue q(sycl::default_selector{}); + + // Define the kernel function for tumor detection + auto tumorDetectionKernel = [&](sycl::handler& cgh) { + // Get write access to the image data + auto imgAccessor = imgBuffer.get_access(cgh); + + // Define a parallel range based on the image dimensions + sycl::range<2> imageSize(image.cols, image.rows); + + // Execute the tumor detection kernel + cgh.parallel_for(imageSize, [=](sycl::id<2> id) { + // Get the pixel value at the current position + uint8_t pixel = image.at(id[1], id[0]); + + // Perform tumor detection logic + bool isTumorPixel = ...; // Implement your tumor detection algorithm here + + // Update the image with the tumor detection result + uint8_t resultPixel = isTumorPixel ? 255 : 0; + imgAccessor[id] = resultPixel; + }); + }; + + // Submit the tumor detection kernel to the SYCL queue + q.submit([&](sycl::handler& cgh) { + // Create a buffer for the image data + sycl::buffer imgBuffer(image.data, sycl::range<2>(image.cols, image.rows)); + + // Associate the buffer with the kernel function + cgh.set_args(imgBuffer); + + // Execute the tumor detection kernel + cgh.single_task(tumorDetectionKernel); + }); + + // Wait for the queue to finish + q.wait(); + + // Get the updated image data from the buffer + cv::Mat detectedImage(image.rows, image.cols, CV_8UC1, imgBuffer.get_pointer()); + + // Display the detected tumor image + cv::imshow("Detected Tumor Image", detectedImage); + cv::waitKey(0); + + return 0; +}