initial cuda implementation

Makefile

@@ -84,6 +84,16 @@ build_nonfree:
 	$(MAKE) preinstall
 	cd -
 
+# Build OpenCV with cuda.
+build_cuda:
+	cd $(TMP_DIR)opencv/opencv-$(OPENCV_VERSION)
+	mkdir build
+	cd build
+	cmake -j $(shell nproc --all) -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D OPENCV_EXTRA_MODULES_PATH=$(TMP_DIR)opencv/opencv_contrib-$(OPENCV_VERSION)/modules -D BUILD_DOCS=OFF -D BUILD_EXAMPLES=OFF -D BUILD_TESTS=OFF -D BUILD_PERF_TESTS=OFF -D BUILD_opencv_java=NO -D BUILD_opencv_python=NO -D BUILD_opencv_python2=NO -D BUILD_opencv_python3=NO -D WITH_JASPER=OFF -DOPENCV_GENERATE_PKGCONFIG=ON -DWITH_CUDA=ON -DENABLE_FAST_MATH=1 -DCUDA_FAST_MATH=1 -DWITH_CUBLAS=1 -DCUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda/ -DBUILD_opencv_cudacodec=OFF ..
+	$(MAKE) -j $(shell nproc --all)
+	$(MAKE) preinstall
+	cd -
+
 # Cleanup temporary build files.
 clean:
 	rm -rf $(TMP_DIR)opencv
@@ -94,6 +104,9 @@ install: deps download build sudo_install clean verify
 # Do everything on Raspbian.
 install_raspi: deps download build_raspi sudo_install clean verify
 
+# Do everything with cuda.
+install_cuda: deps download build_cuda sudo_install clean verify
+
 # Install system wide.
 sudo_install:
 	cd $(TMP_DIR)opencv/opencv-$(OPENCV_VERSION)/build

cgo.go

@@ -2,7 +2,7 @@
 
 package gocv
 
-// Changes here should be mirrored in contrib/cgo.go.
+// Changes here should be mirrored in contrib/cgo.go and cuda/cgo.go.
 
 /*
 #cgo !windows pkg-config: opencv4

cmd/cuda/main.go

@@ -0,0 +1,28 @@
+// What it does:
+//
+// 	This program outputs the current OpenCV library version and CUDA version the console.
+//
+// How to run:
+//
+// 		go run ./cmd/cuda/main.go
+//
+// +build example
+
+package main
+
+import (
+	"fmt"
+
+	"gocv.io/x/gocv"
+	"gocv.io/x/gocv/cuda"
+)
+
+func main() {
+	fmt.Printf("gocv version: %s\n", gocv.Version())
+	fmt.Println("cuda information:")
+	devices := cuda.GetCudaEnabledDeviceCount()
+	for i := 0; i < devices; i++ {
+		fmt.Print("  ")
+		cuda.PrintShortCudaDeviceInfo(i)
+	}
+}

contrib/cgo.go

@@ -2,7 +2,7 @@
 
 package contrib
 
-// Changes here should be mirrored in gocv/cgo.go.
+// Changes here should be mirrored in gocv/cgo.go and cuda/cgo.go
 
 /*
 #cgo !windows pkg-config: opencv4

cuda/README.md

@@ -0,0 +1,24 @@
+# Cuda (Experimental)
+
+In order to use the cuda package, the cuda toolkit from nvidia needs to be installed on the host system. 
+
+Please see https://docs.nvidia.com/cuda/index.html for more information.
+
+Furthermore opencv must be compiled with cuda support.
+
+## Compiling opencv with cuda
+
+For now we have included the make target `install_cuda` that compiles opencv with cuda. (For more details on the compilation process please see the `Makefile`)
+
+Simply issue the command `make install_cuda` and you should be good to go.
+
+Then finally verify that it is all working 
+
+    cd $GOPATH/src/gocv.io/x/gocv
+	go run ./cmd/cuda/main.go
+
+You should see something along the lines of:
+
+    gocv version: 0.19.0
+    cuda information:
+      Device 0:  "GeForce MX150"  2003Mb, sm_61, Driver/Runtime ver.10.0/10.0

cuda/cgo.go

@@ -0,0 +1,13 @@
+// +build !customenv,!openvino
+
+package cuda
+
+// Changes here should be mirrored in gocv/cgo.go and contrib/cgo.go.
+
+/*
+#cgo !windows pkg-config: opencv4
+#cgo CXXFLAGS:   --std=c++11
+#cgo windows  CPPFLAGS:   -IC:/opencv/build/install/include
+#cgo windows  LDFLAGS:    -LC:/opencv/build/install/x64/mingw/lib -lopencv_core401 -lopencv_face401 -lopencv_videoio401 -lopencv_imgproc401 -lopencv_highgui401 -lopencv_imgcodecs401 -lopencv_objdetect401 -lopencv_features2d401 -lopencv_video401 -lopencv_dnn401 -lopencv_xfeatures2d401 -lopencv_plot401 -lopencv_tracking401 -lopencv_img_hash401 -lopencv_calib3d401
+*/
+import "C"

cuda/cuda.cpp

@@ -0,0 +1,33 @@
+#include "cuda.h"
+
+GpuMat GpuMat_New() {
+    return new cv::cuda::GpuMat();
+}
+
+void GpuMat_Upload(GpuMat m,Mat data){
+    m->upload(*data);
+}
+
+void GpuMat_Download(GpuMat m,Mat dst){
+    m->download(*dst);
+}
+
+int GpuMat_Empty(GpuMat m){
+    return m->empty();
+}
+
+void GpuMat_Close(GpuMat m){
+    delete m;
+}
+
+void PrintCudaDeviceInfo(int device){
+    cv::cuda::printCudaDeviceInfo(device);
+}
+
+void PrintShortCudaDeviceInfo(int device){
+    cv::cuda::printShortCudaDeviceInfo(device);
+}
+
+int GetCudaEnabledDeviceCount(){
+    return cv::cuda::getCudaEnabledDeviceCount();
+}

cuda/cuda.go

@@ -0,0 +1,76 @@
+// Package cuda is the GoCV wrapper around OpenCV cuda.
+//
+// For further details, please see:
+// https://github.com/opencv/c
+//
+// import "gocv.io/x/gocv/cuda"
+package cuda
+
+/*
+#include <stdlib.h>
+#include "cuda.h"
+*/
+import "C"
+import "gocv.io/x/gocv"
+
+// GpuMat is the GPU version of a Mat
+//
+// For further details, please see:
+// https://docs.opencv.org/master/d0/d60/classcv_1_1cuda_1_1GpuMat.html
+type GpuMat struct {
+	p C.GpuMat
+}
+
+// Upload performs data upload to GpuMat (Blocking call)
+//
+// For further details, please see:
+// https://docs.opencv.org/master/d0/d60/classcv_1_1cuda_1_1GpuMat.html#a00ef5bfe18d14623dcf578a35e40a46b
+//
+func (g *GpuMat) Upload(data gocv.Mat) {
+	C.GpuMat_Upload(g.p, C.Mat(data.Ptr()))
+}
+
+// Download performs data download from GpuMat (Blocking call)
+//
+// For further details, please see:
+// https://docs.opencv.org/master/d0/d60/classcv_1_1cuda_1_1GpuMat.html#a027e74e4364ddfd9687b58aa5db8d4e8
+func (g *GpuMat) Download(dst *gocv.Mat) {
+	C.GpuMat_Download(g.p, C.Mat(dst.Ptr()))
+}
+
+// Empty returns true if GpuMat is empty
+func (g *GpuMat) Empty() bool {
+	return C.GpuMat_Empty(g.p) != 0
+}
+
+// Close the GpuMat object
+func (g *GpuMat) Close() error {
+	C.GpuMat_Close(g.p)
+	g.p = nil
+	return nil
+}
+
+// NewGpuMat Returns a new empty GpuMat
+func NewGpuMat() GpuMat {
+	return newGpuMat(C.GpuMat_New())
+}
+
+func newGpuMat(p C.GpuMat) GpuMat {
+	return GpuMat{p: p}
+}
+
+// PrintCudaDeviceInfo prints extensive cuda device information
+func PrintCudaDeviceInfo(device int) {
+	C.PrintCudaDeviceInfo(C.int(device))
+}
+
+// PrintShortCudaDeviceInfo prints a small amount of cuda device information
+func PrintShortCudaDeviceInfo(device int) {
+	C.PrintShortCudaDeviceInfo(C.int(device))
+}
+
+// GetCudaEnabledDeviceCount returns the number of cuda enabled devices on the
+// system
+func GetCudaEnabledDeviceCount() int {
+	return int(C.GetCudaEnabledDeviceCount())
+}

cuda/cuda.h

@@ -0,0 +1,32 @@
+#ifndef _OPENCV3_CUDA_H_
+#define _OPENCV3_CUDA_H_
+
+#ifdef __cplusplus
+#include <opencv2/opencv.hpp>
+#include <opencv2/core/cuda.hpp>
+
+extern "C" {
+#endif
+
+#include "../core.h"
+
+#ifdef __cplusplus
+typedef cv::cuda::GpuMat* GpuMat;
+#else
+typedef void* GpuMat;
+#endif
+
+GpuMat GpuMat_New();
+void GpuMat_Upload(GpuMat m,Mat data);
+void GpuMat_Download(GpuMat m,Mat dst);
+void GpuMat_Close(GpuMat m);
+int GpuMat_Empty(GpuMat m);
+
+void PrintCudaDeviceInfo(int device);
+void PrintShortCudaDeviceInfo(int device);
+int GetCudaEnabledDeviceCount();
+#ifdef __cplusplus
+}
+#endif
+
+#endif //_OPENCV3_CUDA_H_

cuda/cuda_test.go

@@ -0,0 +1,20 @@
+package cuda
+
+import (
+	"testing"
+)
+
+func TestNewGpuMat(t *testing.T) {
+	mat := NewGpuMat()
+	defer mat.Close()
+
+	if !mat.Empty() {
+		t.Error("New Mat should be empty")
+	}
+}
+
+func TestGetCudaEnabledDeviceCount(t *testing.T) {
+	if GetCudaEnabledDeviceCount() < 1 {
+		t.Fatal("expected atleast one cuda enabled device")
+	}
+}

cuda/cudabgsegm.cpp

@@ -0,0 +1,25 @@
+#include "cudabgsegm.h"
+
+CudaBackgroundSubtractorMOG2 CudaBackgroundSubtractorMOG2_Create() {
+    return new cv::Ptr<cv::cuda::BackgroundSubtractorMOG2>(cv::cuda::createBackgroundSubtractorMOG2());
+}
+
+void CudaBackgroundSubtractorMOG2_Close(CudaBackgroundSubtractorMOG2 b) {
+    delete b;
+}
+
+void CudaBackgroundSubtractorMOG2_Apply(CudaBackgroundSubtractorMOG2 b, GpuMat src, GpuMat dst) {
+    (*b)->apply(*src, *dst);
+}
+
+CudaBackgroundSubtractorMOG CudaBackgroundSubtractorMOG_Create() {
+    return new cv::Ptr<cv::cuda::BackgroundSubtractorMOG>(cv::cuda::createBackgroundSubtractorMOG());
+}
+
+void CudaBackgroundSubtractorMOG_Close(CudaBackgroundSubtractorMOG b) {
+    delete b;
+}
+
+void CudaBackgroundSubtractorMOG_Apply(CudaBackgroundSubtractorMOG b, GpuMat src, GpuMat dst) {
+    (*b)->apply(*src, *dst);
+}

cuda/cudabgsegm.go

@@ -0,0 +1,76 @@
+package cuda
+
+/*
+#include <stdlib.h>
+#include "cudabgsegm.h"
+*/
+import "C"
+import "unsafe"
+
+// BackgroundSubtractorMOG2 is a wrapper around the cv::cuda::BackgroundSubtractorMOG2.
+type BackgroundSubtractorMOG2 struct {
+	// C.BackgroundSubtractorMOG2
+	p unsafe.Pointer
+}
+
+// BackgroundSubtractorMOG is a wrapper around the cv::cuda::BackgroundSubtractorMOG.
+type BackgroundSubtractorMOG struct {
+	// C.BackgroundSubtractorMOG
+	p unsafe.Pointer
+}
+
+// NewBackgroundSubtractorMOG2 returns a new BackgroundSubtractor algorithm
+// of type MOG2. MOG2 is a Gaussian Mixture-based Background/Foreground
+// Segmentation Algorithm.
+//
+// For further details, please see:
+// https://docs.opencv.org/master/dc/d3d/cudabgsegm_8hpp.html
+//
+func NewBackgroundSubtractorMOG2() BackgroundSubtractorMOG2 {
+	return BackgroundSubtractorMOG2{p: unsafe.Pointer(C.CudaBackgroundSubtractorMOG2_Create())}
+}
+
+// Close BackgroundSubtractorMOG2.
+func (b *BackgroundSubtractorMOG2) Close() error {
+	C.CudaBackgroundSubtractorMOG2_Close((C.CudaBackgroundSubtractorMOG2)(b.p))
+	b.p = nil
+	return nil
+}
+
+// Apply computes a foreground mask using the current BackgroundSubtractorMOG2.
+//
+// For further details, please see:
+// https://docs.opencv.org/master/df/d23/classcv_1_1cuda_1_1BackgroundSubtractorMOG2.html#a92408f07bf1268c1b778cb186b3113b0
+//
+func (b *BackgroundSubtractorMOG2) Apply(src GpuMat, dst *GpuMat) {
+	C.CudaBackgroundSubtractorMOG2_Apply((C.CudaBackgroundSubtractorMOG2)(b.p), src.p, dst.p)
+	return
+}
+
+// NewBackgroundSubtractorMOG returns a new BackgroundSubtractor algorithm
+// of type MOG. MOG is a Gaussian Mixture-based Background/Foreground
+// Segmentation Algorithm.
+//
+// For further details, please see:
+// https://docs.opencv.org/master/dc/d3d/cudabgsegm_8hpp.html
+//
+func NewBackgroundSubtractorMOG() BackgroundSubtractorMOG {
+	return BackgroundSubtractorMOG{p: unsafe.Pointer(C.CudaBackgroundSubtractorMOG_Create())}
+}
+
+// Close BackgroundSubtractorMOG.
+func (b *BackgroundSubtractorMOG) Close() error {
+	C.CudaBackgroundSubtractorMOG_Close((C.CudaBackgroundSubtractorMOG)(b.p))
+	b.p = nil
+	return nil
+}
+
+// Apply computes a foreground mask using the current BackgroundSubtractorMOG.
+//
+// For further details, please see:
+// https://docs.opencv.org/master/d1/dfe/classcv_1_1cuda_1_1BackgroundSubtractorMOG.html#a8f52d2f7abd1c77c84243efc53972cbf
+//
+func (b *BackgroundSubtractorMOG) Apply(src GpuMat, dst *GpuMat) {
+	C.CudaBackgroundSubtractorMOG_Apply((C.CudaBackgroundSubtractorMOG)(b.p), src.p, dst.p)
+	return
+}