diff --git a/samples/gpu/softcascade.cpp b/samples/gpu/softcascade.cpp
deleted file mode 100644
index e5258aaa6..000000000
--- a/samples/gpu/softcascade.cpp
+++ /dev/null
@@ -1,109 +0,0 @@
-#include <opencv2/core/utility.hpp>
-#include <opencv2/cuda.hpp>
-#include <opencv2/softcascade.hpp>
-#include <opencv2/highgui.hpp>
-#include <iostream>
-
-typedef cv::softcascade::Detection Detection;
-
-int main(int argc, char** argv)
-{
-    const std::string keys =
-        "{help h usage ?    |     | print this message }"
-        "{cascade c         |     | path to configuration xml }"
-        "{frames f          |     | path to configuration xml }"
-        "{min_scale         |0.4f | path to configuration xml }"
-        "{max_scale         |5.0f | path to configuration xml }"
-        "{total_scales      |55   | path to configuration xml }"
-        "{device d          |0    | path to configuration xml }"
-    ;
-
-    cv::CommandLineParser parser(argc, argv, keys);
-    parser.about("Soft cascade training application.");
-
-    if (parser.has("help"))
-    {
-        parser.printMessage();
-        return 0;
-    }
-
-    if (!parser.check())
-    {
-        parser.printErrors();
-        return 1;
-    }
-
-    cv::cuda::setDevice(parser.get<int>("device"));
-
-    std::string cascadePath = parser.get<std::string>("cascade");
-
-    cv::FileStorage fs(cascadePath, cv::FileStorage::READ);
-    if(!fs.isOpened())
-    {
-        std::cout << "Soft Cascade file " << cascadePath << " can't be opened." << std::endl << std::flush;
-        return 1;
-    }
-
-    std::cout << "Read cascade from file " << cascadePath << std::endl;
-
-    float minScale =  parser.get<float>("min_scale");
-    float maxScale =  parser.get<float>("max_scale");
-    int scales     =  parser.get<int>("total_scales");
-
-    using cv::softcascade::SCascade;
-    SCascade cascade(minScale, maxScale, scales);
-
-    if (!cascade.load(fs.getFirstTopLevelNode()))
-    {
-        std::cout << "Soft Cascade can't be parsed." << std::endl << std::flush;
-        return 1;
-    }
-
-    std::string frames = parser.get<std::string>("frames");
-    cv::VideoCapture capture(frames);
-    if(!capture.isOpened())
-    {
-        std::cout << "Frame source " << frames << " can't be opened." << std::endl << std::flush;
-        return 1;
-    }
-
-    cv::cuda::GpuMat objects(1, sizeof(Detection) * 10000, CV_8UC1);
-    cv::cuda::printShortCudaDeviceInfo(parser.get<int>("device"));
-    for (;;)
-    {
-        cv::Mat frame;
-        if (!capture.read(frame))
-        {
-            std::cout << "Nothing to read. " << std::endl << std::flush;
-            return 0;
-        }
-
-        cv::cuda::GpuMat dframe(frame), roi(frame.rows, frame.cols, CV_8UC1);
-        roi.setTo(cv::Scalar::all(1));
-        cascade.detect(dframe, roi, objects);
-
-        cv::Mat dt(objects);
-
-        Detection* dts = ((Detection*)dt.data) + 1;
-        int* count = dt.ptr<int>(0);
-
-        std::cout << *count << std::endl;
-
-        cv::Mat result;
-        frame.copyTo(result);
-
-
-        for (int i = 0; i < *count; ++i)
-        {
-            Detection d = dts[i];
-            cv::rectangle(result, cv::Rect(d.x, d.y, d.w, d.h), cv::Scalar(255, 0, 0, 255), 1);
-        }
-
-        std::cout << "working..." << std::endl;
-        cv::imshow("Soft Cascade demo", result);
-        if (27 == cv::waitKey(10))
-            break;
-    }
-
-    return 0;
-}