Create project.cpp

project.cpp

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+#include <iostream>
+#include <Eigen/Dense>
+#include <CL/sycl.hpp>
+#include <opencv2/opencv.hpp>
+
+namespace sycl = cl::sycl;
+
+// Function to detect brain tumors from MRI images
+void detectBrainTumors(const Eigen::MatrixXf& mriImage, Eigen::MatrixXf& tumorConfirmed) {
+    // Perform your brain tumor detection algorithm here
+    // This is just a placeholder code for demonstration purposes
+    const int numRows = mriImage.rows();
+    const int numCols = mriImage.cols();
+
+    // Allocate memory for the tumor confirmed matrix
+    tumorConfirmed.resize(numRows, numCols);
+
+    // Perform some simple thresholding for demonstration
+    for (int i = 0; i < numRows; i++) {
+        for (int j = 0; j < numCols; j++) {
+            if (mriImage(i, j) > 0.5) {
+                tumorConfirmed(i, j) = 1.0;
+            } else {
+                tumorConfirmed(i, j) = 0.0;
+            }
+        }
+    }
+}
+
+int main() {
+    // Load MRI image from file
+    cv::Mat mriImageMat = cv::imread("image.jpg", cv::IMREAD_GRAYSCALE);
+
+    // Convert OpenCV matrix to Eigen matrix
+    Eigen::MatrixXf mriImage = Eigen::MatrixXf::Map(mriImageMat.ptr<float>(), mriImageMat.rows, mriImageMat.cols);
+
+    // Output tumor confirmed matrix
+    Eigen::MatrixXf tumorConfirmed;
+
+    // Create a SYCL queue for device selection
+    sycl::queue myQueue(sycl::default_selector{});
+
+    // Create SYCL buffers for data transfer between host and device
+    sycl::buffer<float, 2> mriImageBuffer(mriImage.data(), sycl::range<2>(mriImage.rows(), mriImage.cols()));
+    sycl::buffer<float, 2> tumorConfirmedBuffer(tumorConfirmed.data(), sycl::range<2>(mriImage.rows(), mriImage.cols()));
+
+    // Submit a SYCL kernel for execution on the device
+    myQueue.submit([&](sycl::handler& cgh) {
+        // Access the buffers
+        auto mriImageAccessor = mriImageBuffer.get_access<sycl::access::mode::read>(cgh);
+        auto tumorConfirmedAccessor = tumorConfirmedBuffer.get_access<sycl::access::mode::write>(cgh);
+
+        // Execute the tumor detection algorithm
+        cgh.parallel_for(sycl::range<2>(mriImage.rows(), mriImage.cols()), [=](sycl::id<2> idx) {
+            const int i = idx[0];
+            const int j = idx[1];
+
+            // Perform your algorithm on the device
+            tumorConfirmedAccessor[i][j] = mriImageAccessor[i][j] > 0.5 ? 1.0 : 0.0;
+        });
+    });
+
+    // Wait for the kernel to finish execution
+    myQueue.wait();
+
+    // Copy the results back to the host
+    sycl::host_accessor tumorConfirmedAccessor(tumorConfirmedBuffer);
+    tumorConfirmed = Eigen::Map<Eigen::MatrixXf>(tumorConfirmedAccessor.get_pointer(), mriImage.rows(), mriImage.cols());
+
+    // Print the tumor confirmed matrix for verification
+    std::cout << "Tumor Confirmed:\n" << tumorConfirmed << std::endl;
+
+    return 0;
+}