TrainData.cc

#include "opencv_modules.h"

#ifdef HAVE_OPENCV_ML

#include "TrainData.h"
#include "Mat.h"

Nan::Persistent<v8::FunctionTemplate> TrainData::constructor;

NAN_MODULE_INIT(TrainData::Init) {
  v8::Local<v8::FunctionTemplate> ctor = Nan::New<v8::FunctionTemplate>(TrainData::New);
  constructor.Reset(ctor);
  ctor->InstanceTemplate()->SetInternalFieldCount(1);
  ctor->SetClassName(FF::newString("TrainData"));

	Nan::SetAccessor(ctor->InstanceTemplate(), FF::newString("layout"), layout_getter);
	Nan::SetAccessor(ctor->InstanceTemplate(), FF::newString("samples"), samples_getter);
	Nan::SetAccessor(ctor->InstanceTemplate(), FF::newString("responses"), responses_getter);
	Nan::SetAccessor(ctor->InstanceTemplate(), FF::newString("varIdx"), varIdx_getter);
	Nan::SetAccessor(ctor->InstanceTemplate(), FF::newString("sampleWeights"), sampleWeights_getter);
	Nan::SetAccessor(ctor->InstanceTemplate(), FF::newString("varType"), varType_getter);

	Nan::Set(target,FF::newString("TrainData"), FF::getFunction(ctor));
};

NAN_METHOD(TrainData::New) {
	FF::TryCatch tryCatch("TrainData::New");
	FF_ASSERT_CONSTRUCT_CALL();
	TrainData::NewWorker worker;

	if (worker.applyUnwrappers(info)) {
		return tryCatch.reThrow();
	}

	// TODO: uchar / char converter
	std::vector<uchar> varType;
	for (auto val : worker.varType) {
		varType.push_back(val);
	}
	TrainData* self = new TrainData();
	self->self = cv::ml::TrainData::create(
		worker.samples, worker.layout, worker.responses, worker.varIdx, worker.sampleIdx, worker.sampleWeights, varType
	);
	self->Wrap(info.Holder());
	info.GetReturnValue().Set(info.Holder());
};

#endif