mirror of
https://github.com/peterbraden/node-opencv.git
synced 2025-12-08 19:45:55 +00:00
525 lines
14 KiB
C++
525 lines
14 KiB
C++
#include "BackgroundSubtractor.h"
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#include "Matrix.h"
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#include <iostream>
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#include <nan.h>
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#ifdef HAVE_BACKGROUNDSUBTRACTOR
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#ifdef HAVE_OPENCV_BGSEGM
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#ifdef __GNUC__
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#warning Building with HAVE_OPENCV_BGSEGM
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#else
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// vs style message pragma
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#pragma message ( "Building with HAVE_OPENCV_BGSEGM" )
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#endif
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cv::bgsegm::BackgroundSubtractorMOG* getMOG(BackgroundSubtractorWrap *wrap) {
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return dynamic_cast<cv::bgsegm::BackgroundSubtractorMOG *>(wrap->subtractor.get());
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}
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#else
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#ifdef __GNUC__
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#warning Building without HAVE_OPENCV_BGSEGM
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#else
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// vs style message pragma
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#pragma message ( "Building without HAVE_OPENCV_BGSEGM - only MOG2 will be available" )
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#endif
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// without bgsem, it can't be MOG anyway
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void* getMOG(BackgroundSubtractorWrap *wrap) {
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return NULL;
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}
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#endif
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class BGAutoMutex {
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public:
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BGAutoMutex(cv::Mutex &m){
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mutex = &m;
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mutex->lock();
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};
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~BGAutoMutex(){
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mutex->unlock();
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mutex = NULL;
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};
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private:
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cv::Mutex *mutex;
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};
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Nan::Persistent<FunctionTemplate> BackgroundSubtractorWrap::constructor;
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void BackgroundSubtractorWrap::Init(Local<Object> target) {
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Nan::HandleScope scope;
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// Constructor
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Local<FunctionTemplate> ctor = Nan::New<FunctionTemplate>(BackgroundSubtractorWrap::New);
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constructor.Reset(ctor);
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ctor->InstanceTemplate()->SetInternalFieldCount(1);
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ctor->SetClassName(Nan::New("BackgroundSubtractor").ToLocalChecked());
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Nan::SetMethod(ctor, "createMOG", CreateMOG);
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Nan::SetMethod(ctor, "createMOG2", CreateMOG2);
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Nan::SetMethod(ctor, "createGMG", CreateGMG);
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Nan::SetPrototypeMethod(ctor, "applyMOG", ApplyMOG);
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Nan::SetPrototypeMethod(ctor, "apply", Apply);
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Nan::SetPrototypeMethod(ctor, "history", History);
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Nan::SetPrototypeMethod(ctor, "nmixtures", Mixtures);
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Nan::SetPrototypeMethod(ctor, "noiseSigma", NoiseSigma);
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Nan::SetPrototypeMethod(ctor, "backgroundRatio", BackgroundRatio);
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target->Set(Nan::New("BackgroundSubtractor").ToLocalChecked(), ctor->GetFunction());
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}
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NAN_METHOD(BackgroundSubtractorWrap::New) {
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Nan::HandleScope scope;
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if (info.This()->InternalFieldCount() == 0) {
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JSTHROW_TYPE("Cannot Instantiate without new")
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}
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// Create MOG by default
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#if CV_MAJOR_VERSION >= 3
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#ifdef HAVE_OPENCV_BGSEGM
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cv::Ptr<cv::BackgroundSubtractor> bg = cv::bgsegm::createBackgroundSubtractorMOG();
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if (NULL == bg){
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JSTHROW_TYPE("OpenCV NULL from cv::bgsegm::createBackgroundSubtractorMOG()");
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}
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BackgroundSubtractorWrap *pt = new BackgroundSubtractorWrap(bg);
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pt->Wrap(info.This());
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info.GetReturnValue().Set(info.This());
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#else
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// if no bgsem, then default to MOG2
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cv::Ptr<cv::BackgroundSubtractor> bg = cv::createBackgroundSubtractorMOG2();
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if (NULL == bg){
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JSTHROW_TYPE("OpenCV NULL from cv::createBackgroundSubtractorMOG2()");
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}
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BackgroundSubtractorWrap *pt = new BackgroundSubtractorWrap(bg);
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pt->Wrap(info.This());
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info.GetReturnValue().Set(info.This());
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#endif
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#else
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cv::Ptr<cv::BackgroundSubtractor> bg = new cv::BackgroundSubtractorMOG();
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if (NULL == bg){
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JSTHROW_TYPE("OpenCV NULL from new cv::BackgroundSubtractorMOG()");
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}
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BackgroundSubtractorWrap *pt = new BackgroundSubtractorWrap(bg);
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pt->Wrap(info.This());
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info.GetReturnValue().Set(info.This());
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#endif
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}
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NAN_METHOD(BackgroundSubtractorWrap::CreateMOG) {
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Nan::HandleScope scope;
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// int history = 200;
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// int nmixtures = 5;
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// double backgroundRatio = 0.7;
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// double noiseSigma = 0;
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//
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// if(info.Length() > 1){
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// INT_FROM_ARGS(history, 0)
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// INT_FROM_ARGS(nmixtures, 1)
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// DOUBLE_FROM_ARGS(backgroundRatio, 2)
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// DOUBLE_FROM_ARGS(noiseSigma, 3)
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// }
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Local<Object> n = Nan::NewInstance(Nan::GetFunction(Nan::New(BackgroundSubtractorWrap::constructor)).ToLocalChecked()).ToLocalChecked();
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#if CV_MAJOR_VERSION >= 3
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#ifdef HAVE_OPENCV_BGSEGM
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cv::Ptr<cv::BackgroundSubtractor> bg = cv::bgsegm::createBackgroundSubtractorMOG();
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if (NULL == bg){
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JSTHROW_TYPE("OpenCV NULL from cv::bgsegm::createBackgroundSubtractorMOG()");
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}
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BackgroundSubtractorWrap *pt = new BackgroundSubtractorWrap(bg);
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pt->Wrap(n);
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info.GetReturnValue().Set( n );
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#else
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JSTHROW_TYPE("OpenCV built without bgsem (opencv_contrib)")
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#endif
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#else
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cv::Ptr<cv::BackgroundSubtractor> bg = new cv::BackgroundSubtractorMOG();
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if (NULL == bg){
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JSTHROW_TYPE("OpenCV NULL from new cv::BackgroundSubtractorMOG()");
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}
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BackgroundSubtractorWrap *pt = new BackgroundSubtractorWrap(bg);
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pt->Wrap(n);
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info.GetReturnValue().Set( n );
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#endif
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}
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NAN_METHOD(BackgroundSubtractorWrap::CreateMOG2) {
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Nan::HandleScope scope;
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// int history = 200;
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// int nmixtures = 5;
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// double backgroundRatio = 0.7;
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// double noiseSigma = 0;
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//
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// if(info.Length() > 1){
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// INT_FROM_ARGS(history, 0)
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// INT_FROM_ARGS(nmixtures, 1)
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// DOUBLE_FROM_ARGS(backgroundRatio, 2)
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// DOUBLE_FROM_ARGS(noiseSigma, 3)
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// }
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Local<Object> n = Nan::NewInstance(Nan::GetFunction(Nan::New(BackgroundSubtractorWrap::constructor)).ToLocalChecked()).ToLocalChecked();
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#if CV_MAJOR_VERSION >= 3
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cv::Ptr<cv::BackgroundSubtractor> bg = cv::createBackgroundSubtractorMOG2();
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if (NULL == bg){
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JSTHROW_TYPE("OpenCV NULL from cv::createBackgroundSubtractorMOG2()");
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}
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#else
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cv::Ptr<cv::BackgroundSubtractor> bg = new cv::BackgroundSubtractorMOG();
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if (NULL == bg){
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JSTHROW_TYPE("OpenCV NULL from new cv::BackgroundSubtractorMOG()");
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}
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#endif
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BackgroundSubtractorWrap *pt = new BackgroundSubtractorWrap(bg);
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pt->Wrap(n);
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info.GetReturnValue().Set( n );
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}
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NAN_METHOD(BackgroundSubtractorWrap::CreateGMG) {
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Nan::HandleScope scope;
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// int history = 200;
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// int nmixtures = 5;
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// double backgroundRatio = 0.7;
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// double noiseSigma = 0;
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//
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// if(info.Length() > 1){
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// INT_FROM_ARGS(history, 0)
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// INT_FROM_ARGS(nmixtures, 1)
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// DOUBLE_FROM_ARGS(backgroundRatio, 2)
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// DOUBLE_FROM_ARGS(noiseSigma, 3)
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// }
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Local<Object> n = Nan::NewInstance(Nan::GetFunction(Nan::New(BackgroundSubtractorWrap::constructor)).ToLocalChecked()).ToLocalChecked();
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#if CV_MAJOR_VERSION >= 3
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#ifdef HAVE_OPENCV_BGSEGM
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cv::Ptr<cv::BackgroundSubtractor> bg = cv::bgsegm::createBackgroundSubtractorGMG();
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if (NULL == bg){
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JSTHROW_TYPE("OpenCV NULL from cv::bgsegm::createBackgroundSubtractorGMG()");
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}
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BackgroundSubtractorWrap *pt = new BackgroundSubtractorWrap(bg);
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pt->Wrap(n);
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info.GetReturnValue().Set( n );
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#else
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JSTHROW_TYPE("OpenCV built without bgsem (opencv_contrib) - use MOG2")
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#endif
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#else
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cv::Ptr<cv::BackgroundSubtractor> bg = new cv::BackgroundSubtractorMOG();
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if (NULL == bg){
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JSTHROW_TYPE("OpenCV NULL from new cv::BackgroundSubtractorMOG()");
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}
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BackgroundSubtractorWrap *pt = new BackgroundSubtractorWrap(bg);
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pt->Wrap(n);
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info.GetReturnValue().Set( n );
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#endif
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}
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// Fetch foreground mask
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NAN_METHOD(BackgroundSubtractorWrap::ApplyMOG) {
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SETUP_FUNCTION(BackgroundSubtractorWrap);
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REQ_FUN_ARG(1, cb);
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Local<Value> argv[2];
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if (info.Length() == 0) {
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argv[0] = Nan::New("Input image missing").ToLocalChecked();
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argv[1] = Nan::Null();
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cb->Call(Nan::GetCurrentContext()->Global(), 2, argv);
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return;
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}
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if (NULL == self->subtractor){
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argv[0] = Nan::New("BackgroundSubtractor not created").ToLocalChecked();
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argv[1] = Nan::Null();
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cb->Call(Nan::GetCurrentContext()->Global(), 2, argv);
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return;
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}
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try {
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cv::Mat mat;
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if (Buffer::HasInstance(info[0])) {
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uint8_t *buf = (uint8_t *) Buffer::Data(info[0]->ToObject());
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unsigned len = Buffer::Length(info[0]->ToObject());
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cv::Mat *mbuf = new cv::Mat(len, 1, CV_64FC1, buf);
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mat = cv::imdecode(*mbuf, -1);
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//mbuf->release();
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} else {
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Matrix *_img = Nan::ObjectWrap::Unwrap<Matrix>(info[0]->ToObject());
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mat = (_img->mat).clone();
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}
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if (mat.empty()) {
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return Nan::ThrowTypeError("Error loading file");
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}
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cv::Mat _fgMask;
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{
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// wait here if already in apply - auto-release on scope exit
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BGAutoMutex(self->applymutex);
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#if CV_MAJOR_VERSION >= 3
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self->subtractor->apply(mat, _fgMask);
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#else
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self->subtractor->operator()(mat, _fgMask);
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#endif
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}
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Local<Object> fgMask = Matrix::CreateWrappedFromMat(_fgMask.clone());
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mat.release();
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argv[0] = Nan::Null();
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argv[1] = fgMask;
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Nan::TryCatch try_catch;
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cb->Call(Nan::GetCurrentContext()->Global(), 2, argv);
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if (try_catch.HasCaught()) {
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Nan::FatalException(try_catch);
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}
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return;
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} catch (cv::Exception& e) {
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const char* err_msg = e.what();
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Nan::ThrowError(err_msg);
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return;
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}
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}
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class AsyncBackgroundSubtractorWorker: public Nan::AsyncWorker {
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public:
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AsyncBackgroundSubtractorWorker(
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Nan::Callback *callback,
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BackgroundSubtractorWrap *bg,
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Matrix *matrix_in):
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Nan::AsyncWorker(callback),
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bg(bg),
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matrix(new Matrix(matrix_in)) {
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}
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~AsyncBackgroundSubtractorWorker() {
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}
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// Executed inside the worker-thread.
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// It is not safe to access V8, or V8 data structures
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// here, so everything we need for input and output
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// should go on `this`.
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void Execute() {
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// wait here if already in apply - auto-release on scope exit
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BGAutoMutex(bg->applymutex);
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#if CV_MAJOR_VERSION >= 3
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bg->subtractor->apply(matrix->mat, _fgMask);
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#else
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bg->subtractor->operator()(matrix->mat, _fgMask);
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#endif
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}
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// Executed when the async work is complete
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// this function will be run inside the main event loop
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// so it is safe to use V8 again
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void HandleOKCallback() {
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Nan::HandleScope scope;
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delete matrix;
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matrix = NULL;
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Local<Object> im_to_return = Matrix::CreateWrappedFromMat(_fgMask.clone());
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Local<Value> argv[] = {
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Nan::Null()
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, im_to_return
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};
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Nan::TryCatch try_catch;
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callback->Call(2, argv);
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if (try_catch.HasCaught()) {
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Nan::FatalException(try_catch);
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}
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}
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private:
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BackgroundSubtractorWrap *bg;
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Matrix *matrix;
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cv::Mat _fgMask;
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};
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// Fetch foreground mask
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NAN_METHOD(BackgroundSubtractorWrap::Apply) {
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SETUP_FUNCTION(BackgroundSubtractorWrap);
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int callback_arg = -1;
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int numargs = info.Length();
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Local<Function> cb;
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if (info[numargs-1]->IsFunction()){
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callback_arg = numargs-1;
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cb = Local<Function>::Cast(info[callback_arg]);
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}
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// if async
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if (callback_arg > 0){
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Local<Value> argv[2];
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if (info.Length() == 0) {
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argv[0] = Nan::New("Input image missing").ToLocalChecked();
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argv[1] = Nan::Null();
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cb->Call(Nan::GetCurrentContext()->Global(), 2, argv);
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return;
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}
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if (NULL == self->subtractor){
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argv[0] = Nan::New("BackgroundSubtractor not created").ToLocalChecked();
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argv[1] = Nan::Null();
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cb->Call(Nan::GetCurrentContext()->Global(), 2, argv);
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return;
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}
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Nan::Callback *callback = new Nan::Callback(cb.As<Function>());
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Matrix *_img = Nan::ObjectWrap::Unwrap<Matrix>(info[0]->ToObject());
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Nan::AsyncQueueWorker(new AsyncBackgroundSubtractorWorker( callback, self, _img));
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return;
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} else { //synchronous - return the image
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try {
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Local<Object> fgMask;
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cv::Mat mat;
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if (Buffer::HasInstance(info[0])) {
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uint8_t *buf = (uint8_t *) Buffer::Data(info[0]->ToObject());
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unsigned len = Buffer::Length(info[0]->ToObject());
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cv::Mat *mbuf = new cv::Mat(len, 1, CV_64FC1, buf);
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mat = cv::imdecode(*mbuf, -1);
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//mbuf->release();
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} else {
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Matrix *_img = Nan::ObjectWrap::Unwrap<Matrix>(info[0]->ToObject());
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mat = (_img->mat).clone();
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}
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if (mat.empty()) {
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return Nan::ThrowTypeError("Empty matrix?");
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}
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{
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// wait here if already in apply - auto-release on scope exit
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BGAutoMutex(self->applymutex);
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cv::Mat _fgMask;
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#if CV_MAJOR_VERSION >= 3
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self->subtractor->apply(mat, _fgMask);
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#else
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self->subtractor->operator()(mat, _fgMask);
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#endif
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fgMask = Matrix::CreateWrappedFromMat(_fgMask.clone());
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}
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mat.release();
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info.GetReturnValue().Set(fgMask);
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return;
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} catch (cv::Exception& e) {
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const char* err_msg = e.what();
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Nan::ThrowError(err_msg);
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return;
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}
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}
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}
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NAN_METHOD(BackgroundSubtractorWrap::History) {
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SETUP_FUNCTION(BackgroundSubtractorWrap);
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auto mog = getMOG(self);
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if (!mog) {
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Nan::ThrowError("Not using a BackgroundSubtractorMOG");
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}
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// only support for V3+ with opencv-contrib
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#ifdef HAVE_OPENCV_BGSEGM
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if (info.Length() > 0) {
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mog->setHistory(info[0]->NumberValue());
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}
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info.GetReturnValue().Set(mog->getHistory());
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#else
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info.GetReturnValue().Set(Nan::Null());
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#endif
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}
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NAN_METHOD(BackgroundSubtractorWrap::BackgroundRatio) {
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SETUP_FUNCTION(BackgroundSubtractorWrap);
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auto mog = getMOG(self);
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if (!mog) {
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Nan::ThrowError("Not using a BackgroundSubtractorMOG");
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}
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// only support for V3+ with opencv-contrib
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#ifdef HAVE_OPENCV_BGSEGM
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if (info.Length() > 0) {
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mog->setBackgroundRatio(info[0]->NumberValue());
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}
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info.GetReturnValue().Set(mog->getBackgroundRatio());
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#else
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info.GetReturnValue().Set(Nan::Null());
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#endif
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}
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NAN_METHOD(BackgroundSubtractorWrap::NoiseSigma) {
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SETUP_FUNCTION(BackgroundSubtractorWrap);
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auto mog = getMOG(self);
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if (!mog) {
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Nan::ThrowError("Not using a BackgroundSubtractorMOG");
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}
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// only support for V3+ with opencv-contrib
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#ifdef HAVE_OPENCV_BGSEGM
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if (info.Length() > 0) {
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mog->setNoiseSigma(info[0]->NumberValue());
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}
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info.GetReturnValue().Set(mog->getNoiseSigma());
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#else
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info.GetReturnValue().Set(Nan::Null());
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#endif
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}
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NAN_METHOD(BackgroundSubtractorWrap::Mixtures) {
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SETUP_FUNCTION(BackgroundSubtractorWrap);
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auto mog = getMOG(self);
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if (!mog) {
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Nan::ThrowError("Not using a BackgroundSubtractorMOG");
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}
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// only support for V3+ with opencv-contrib
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#ifdef HAVE_OPENCV_BGSEGM
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if (info.Length() > 0) {
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mog->setNMixtures(info[0]->NumberValue());
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}
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info.GetReturnValue().Set(mog->getNMixtures());
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#else
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info.GetReturnValue().Set(Nan::Null());
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#endif
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}
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BackgroundSubtractorWrap::BackgroundSubtractorWrap(
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cv::Ptr<cv::BackgroundSubtractor> _subtractor) {
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subtractor = _subtractor;
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}
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#endif
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