6. GPU accelerating

ImageSDK supports CUDA with NVIDIA GPUs. The example below demonstrates how to enable GPU acceleration.

#include "P1Image.hpp"
#include <iostream>

using namespace P1::ImageSdk;

int main()
{
    try
    {
        // Enable Cuda 
        SetArchitecture(Cuda);

        // 1. Load IIQ image
        RawImage im("Sample.IIQ");

        // 2. Check GPU [optional]
        {
            if (GetArchitecture() != Architecture::Cuda)
            {
                std::cerr << "Unexpected error\n";
            }

            std::cout << "ImageSdk is using: " <<  GetDeviceName(0) << std::endl;
        }
        

        // 3. Convert
        ConvertConfig config;
        BitmapImage bmp = im.Convert(config);

        // 4. Export to JPEG
        TiffWriter("out.tiff", bmp, im, TiffConfig());

        return 0;
    }
    catch (const std::exception& e)
    {
        std::cerr << e.what();
        return -1;
    }
}

using P1.ImageSdk;

// Enable GPU acceleration
Sdk.SetArchitecture(Sdk.Architecture.Cuda);

// 1. Load IIQ image
RawImage im = new("Sample.IIQ");

// 2. Check GPU [optional]
{
    if(Sdk.GetArchitecture() != Sdk.Architecture.Cuda)
    {
        Console.WriteLine("Unexpected error");
    }

    Console.WriteLine($"ImageSDK is using {Sdk.GetDeviceName(0)}");
}


// 3. Convert
ConvertConfig config = new();
IBitmapImage bmp = im.Convert(config);

// 4. Export to Tiff
im.WriteAsTiff("out.tiff", bmp, new TiffConfig());

Note

ImageSDK automatically enables GPU acceleration if a compatible GPU is detected.