remove generic version of GPU channel computer.

diff --git a/modules/softcascade/CMakeLists.txt b/modules/softcascade/CMakeLists.txt
index 0d0d6fe..87798d2 100644 (file)
--- a/modules/softcascade/CMakeLists.txt
+++ b/modules/softcascade/CMakeLists.txt
@@ -1,52 +1,3 @@
-macro(ocv_glob_cuda_powered_module_sources)
-  file(GLOB_RECURSE lib_srcs "src/*.cpp")
-  file(GLOB_RECURSE lib_int_hdrs "src/*.hpp" "src/*.h")
-  file(GLOB lib_hdrs "include/opencv2/${name}/*.hpp" "include/opencv2/${name}/*.h")
-  file(GLOB lib_hdrs_detail "include/opencv2/${name}/detail/*.hpp" "include/opencv2/${name}/detail/*.h")
-
-  file(GLOB_RECURSE lib_device_srcs "src/*.cu")
-  set(device_objs "")
-  set(lib_device_hdrs "")
-
-  if (HAVE_CUDA AND lib_device_srcs)
-  ocv_include_directories(${CUDA_INCLUDE_DIRS})
-  file(GLOB_RECURSE lib_device_hdrs "src/cuda/*.hpp")
-
-  ocv_cuda_compile(device_objs ${lib_device_srcs})
-  source_group("Src\\Cuda" FILES ${lib_device_srcs} ${lib_device_hdrs})
-  if (lib_device_hdrs)
-  list(REMOVE_ITEM lib_int_hdrs ${lib_device_hdrs})
-  endif()
-  endif()
-
-  ocv_set_module_sources(${ARGN} HEADERS ${lib_hdrs} ${lib_hdrs_detail}
-  SOURCES ${lib_srcs} ${lib_int_hdrs} ${device_objs} ${lib_device_srcs} ${lib_device_hdrs})
-
-  source_group("Src" FILES ${lib_srcs} ${lib_int_hdrs})
-  source_group("Include" FILES ${lib_hdrs})
-  source_group("Include\\detail" FILES ${lib_hdrs_detail})
-endmacro()
-
 set(the_description "Soft Cascade detection and training")
-ocv_warnings_disable(CMAKE_CXX_FLAGS /wd4310 -Wundef -Wmissing-declarations)
-set(cuda_deps "")
-set(cuda_include "")
-
-if (NAVE_CUDA)
-  set(cuda_deps ${CUDA_LIBRARIES} ${CUDA_npp_LIBRARY})
-endif()
-ocv_add_module(softcascade opencv_core opencv_imgproc opencv_ml OPTIONAL ${cuda_deps})
-
-if(HAVE_CUDA)
-  ocv_module_include_directories(${CUDA_INCLUDE_DIRS})
-  ocv_warnings_disable(CMAKE_CXX_FLAGS -Wundef)
-else()
-  ocv_module_include_directories()
-endif()
-
-ocv_glob_cuda_powered_module_sources()
-ocv_create_module()
-ocv_add_precompiled_headers(${the_module})
-
-ocv_add_accuracy_tests()
-ocv_add_perf_tests()
+ocv_define_module(softcascade opencv_core opencv_imgproc opencv_ml)
+ocv_warnings_disable(CMAKE_CXX_FLAGS /wd4310 -Wundef)

diff --git a/modules/softcascade/include/opencv2/softcascade.hpp b/modules/softcascade/include/opencv2/softcascade.hpp
index e97ac4d..7ce31a6 100644 (file)
--- a/modules/softcascade/include/opencv2/softcascade.hpp
+++ b/modules/softcascade/include/opencv2/softcascade.hpp
@@ -219,7 +219,7 @@ class CV_EXPORTS ChannelsProcessor
 public:
     enum
     {
-        GENERIC   = 1 << 4,
+        // GENERIC   = 1 << 4, does not supported
         SEPARABLE = 2 << 4
     };
 
@@ -233,7 +233,7 @@ public:
     // Param shrinkage is a resizing factor. Resize is applied before the computing integral sum
     // Param bins is a number of HOG-like channels.
     // Param flags is a channel computing extra flags.
-    static cv::Ptr<ChannelsProcessor> create(const int shrinkage, const int bins, const int flags = GENERIC);
+    static cv::Ptr<ChannelsProcessor> create(const int shrinkage, const int bins, const int flags = SEPARABLE);
 
     virtual ~ChannelsProcessor();
 
@@ -267,7 +267,7 @@ public:
     // Param scales is a number of scales from minScale to maxScale.
     // Param flags is an extra tuning flags.
     SCascade(const double minScale = 0.4, const double maxScale = 5., const int scales = 55,
-        const int flags = NO_REJECT || ChannelsProcessor::GENERIC);
+        const int flags = NO_REJECT | ChannelsProcessor::SEPARABLE);
 
     virtual ~SCascade();
 

diff --git a/modules/softcascade/src/detector_cuda.cpp b/modules/softcascade/src/detector_cuda.cpp
index 07d4535..9a42218 100644 (file)
--- a/modules/softcascade/src/detector_cuda.cpp
+++ b/modules/softcascade/src/detector_cuda.cpp
@@ -73,7 +73,7 @@ namespace
 
     inline void ___cudaSafeCall(cudaError_t err, const char *file, const int line, const char *func = "")
     {
-        //if (cudaSuccess != err) cv::gpu::error(cudaGetErrorString(err), file, line, func);
+        if (cudaSuccess != err) cv::gpu::error(cudaGetErrorString(err), file, line, func);
     }
 }
 
@@ -545,98 +545,6 @@ inline void setZero(cv::gpu::GpuMat& m, cv::gpu::Stream& s)
         m.setTo(0);
 }
 
-struct GenricPreprocessor : public cv::softcascade::ChannelsProcessor
-{
-    GenricPreprocessor(const int s, const int b) : cv::softcascade::ChannelsProcessor(), shrinkage(s), bins(b) {}
-    virtual ~GenricPreprocessor() {}
-
-    virtual void apply(InputArray _frame, OutputArray _shrunk, cv::gpu::Stream& s = cv::gpu::Stream::Null())
-    {
-        const cv::gpu::GpuMat frame = _frame.getGpuMat();
-
-        _shrunk.create(frame.rows * (4 + bins) / shrinkage, frame.cols / shrinkage, CV_8UC1);
-        cv::gpu::GpuMat shrunk = _shrunk.getGpuMat();
-
-        channels.create(frame.rows * (4 + bins), frame.cols, CV_8UC1);
-        setZero(channels, s);
-
-        //cv::gpu::cvtColor(frame, gray, CV_BGR2GRAY, s);
-        createHogBins(s);
-
-        createLuvBins(frame, s);
-
-        //cv::gpu::resize(channels, shrunk, cv::Size(), 1.f / shrinkage, 1.f / shrinkage, CV_INTER_AREA, s);
-    }
-
-private:
-
-    void createHogBins(cv::gpu::Stream& s)
-    {
-        static const int fw = gray.cols;
-        static const int fh = gray.rows;
-
-        fplane.create(fh * HOG_BINS, fw, CV_32FC1);
-
-        cv::gpu::GpuMat dfdx(fplane, cv::Rect(0,  0, fw, fh));
-        cv::gpu::GpuMat dfdy(fplane, cv::Rect(0, fh, fw, fh));
-
-        //cv::gpu::Sobel(gray, dfdx, CV_32F, 1, 0, sobelBuf, 3, 1, cv::BORDER_DEFAULT, -1, s);
-        //cv::gpu::Sobel(gray, dfdy, CV_32F, 0, 1, sobelBuf, 3, 1, cv::BORDER_DEFAULT, -1, s);
-
-        cv::gpu::GpuMat mag(fplane, cv::Rect(0, 2 * fh, fw, fh));
-        cv::gpu::GpuMat ang(fplane, cv::Rect(0, 3 * fh, fw, fh));
-
-        //cv::gpu::cartToPolar(dfdx, dfdy, mag, ang, true, s);
-
-        // normalize magnitude to uchar interval and angles to 6 bins
-        cv::gpu::GpuMat nmag(fplane, cv::Rect(0, 4 * fh, fw, fh));
-        cv::gpu::GpuMat nang(fplane, cv::Rect(0, 5 * fh, fw, fh));
-
-        //cv::gpu::multiply(mag, cv::Scalar::all(1.f / (8 *::log(2.0f))), nmag, 1, -1, s);
-        //cv::gpu::multiply(ang, cv::Scalar::all(1.f / 60.f),     nang, 1, -1, s);
-
-        //create uchar magnitude
-        cv::gpu::GpuMat cmag(channels, cv::Rect(0, fh * HOG_BINS, fw, fh));
-        if (s)
-            s.enqueueConvert(nmag, cmag, CV_8UC1);
-        else
-            nmag.convertTo(cmag, CV_8UC1);
-
-        cudaStream_t stream = cv::gpu::StreamAccessor::getStream(s);
-        cv::softcascade::device::fillBins(channels, nang, fw, fh, HOG_BINS, stream);
-    }
-
-    void createLuvBins(const cv::gpu::GpuMat& colored, cv::gpu::Stream& s)
-    {
-        static const int fw = colored.cols;
-        static const int fh = colored.rows;
-
-        //cv::gpu::cvtColor(colored, luv, CV_BGR2Luv, s);
-
-        std::vector<cv::gpu::GpuMat> splited;
-        for(int i = 0; i < LUV_BINS; ++i)
-        {
-            splited.push_back(cv::gpu::GpuMat(channels, cv::Rect(0, fh * (7 + i), fw, fh)));
-        }
-
-        //cv::gpu::split(luv, splited, s);
-    }
-
-    enum {HOG_BINS = 6, LUV_BINS = 3};
-
-    const int shrinkage;
-    const int bins;
-
-    cv::gpu::GpuMat gray;
-    cv::gpu::GpuMat luv;
-    cv::gpu::GpuMat channels;
-
-    // preallocated buffer for floating point operations
-    cv::gpu::GpuMat fplane;
-    cv::gpu::GpuMat sobelBuf;
-};
-
-
 struct SeparablePreprocessor : public cv::softcascade::ChannelsProcessor
 {
     SeparablePreprocessor(const int s, const int b) : cv::softcascade::ChannelsProcessor(), shrinkage(s), bins(b) {}
@@ -674,11 +582,7 @@ private:
 
 cv::Ptr<cv::softcascade::ChannelsProcessor> cv::softcascade::ChannelsProcessor::create(const int s, const int b, const int m)
 {
-    CV_Assert((m && SEPARABLE) || (m && GENERIC));
-
-    if (m && GENERIC)
-        return cv::Ptr<cv::softcascade::ChannelsProcessor>(new GenricPreprocessor(s, b));
-
+    CV_Assert((m && SEPARABLE));
     return cv::Ptr<cv::softcascade::ChannelsProcessor>(new SeparablePreprocessor(s, b));
 }