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node-opencv/src/Matrix.cc
Keegan Brown 1974fd6d00 Revert "conversion + build + test passed... so far" 
This reverts commit ea69fcc10b73a191e1d3dc6c9decdc1ebc8bc714.
2015-10-01 11:03:08 -05:00

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#include "Contours.h"
#include "Matrix.h"
#include "OpenCV.h"
#include <nan.h>
v8::Persistent<FunctionTemplate> Matrix::constructor;
cv::Scalar setColor(Local<Object> objColor);
cv::Point setPoint(Local<Object> objPoint);
cv::Rect* setRect(Local<Object> objRect, cv::Rect &result);
void Matrix::Init(Handle<Object> target) {
NanScope();
//Class
Local<FunctionTemplate> ctor = NanNew<FunctionTemplate>(Matrix::New);
NanAssignPersistent(constructor, ctor);
ctor->InstanceTemplate()->SetInternalFieldCount(1);
ctor->SetClassName(NanNew("Matrix"));
// Prototype
NODE_SET_PROTOTYPE_METHOD(ctor, "row", Row);
NODE_SET_PROTOTYPE_METHOD(ctor, "col", Col);
NODE_SET_PROTOTYPE_METHOD(ctor, "pixelRow", PixelRow);
NODE_SET_PROTOTYPE_METHOD(ctor, "pixelCol", PixelCol);
NODE_SET_PROTOTYPE_METHOD(ctor, "empty", Empty);
NODE_SET_PROTOTYPE_METHOD(ctor, "get", Get);
NODE_SET_PROTOTYPE_METHOD(ctor, "set", Set);
NODE_SET_PROTOTYPE_METHOD(ctor, "put", Put);
NODE_SET_PROTOTYPE_METHOD(ctor, "brightness", Brightness);
NODE_SET_PROTOTYPE_METHOD(ctor, "normalize", Normalize);
NODE_SET_PROTOTYPE_METHOD(ctor, "getData", GetData);
NODE_SET_PROTOTYPE_METHOD(ctor, "pixel", Pixel);
NODE_SET_PROTOTYPE_METHOD(ctor, "width", Width);
NODE_SET_PROTOTYPE_METHOD(ctor, "height", Height);
NODE_SET_PROTOTYPE_METHOD(ctor, "size", Size);
NODE_SET_PROTOTYPE_METHOD(ctor, "clone", Clone);
NODE_SET_PROTOTYPE_METHOD(ctor, "crop", Crop);
NODE_SET_PROTOTYPE_METHOD(ctor, "toBuffer", ToBuffer);
NODE_SET_PROTOTYPE_METHOD(ctor, "toBufferAsync", ToBufferAsync);
NODE_SET_PROTOTYPE_METHOD(ctor, "ellipse", Ellipse);
NODE_SET_PROTOTYPE_METHOD(ctor, "rectangle", Rectangle);
NODE_SET_PROTOTYPE_METHOD(ctor, "line", Line);
NODE_SET_PROTOTYPE_METHOD(ctor, "fillPoly", FillPoly);
NODE_SET_PROTOTYPE_METHOD(ctor, "save", Save);
NODE_SET_PROTOTYPE_METHOD(ctor, "saveAsync", SaveAsync);
NODE_SET_PROTOTYPE_METHOD(ctor, "resize", Resize);
NODE_SET_PROTOTYPE_METHOD(ctor, "rotate", Rotate);
NODE_SET_PROTOTYPE_METHOD(ctor, "copyTo", CopyTo);
NODE_SET_PROTOTYPE_METHOD(ctor, "pyrDown", PyrDown);
NODE_SET_PROTOTYPE_METHOD(ctor, "pyrUp", PyrUp);
NODE_SET_PROTOTYPE_METHOD(ctor, "channels", Channels);
NODE_SET_PROTOTYPE_METHOD(ctor, "convertGrayscale", ConvertGrayscale);
NODE_SET_PROTOTYPE_METHOD(ctor, "convertHSVscale", ConvertHSVscale);
NODE_SET_PROTOTYPE_METHOD(ctor, "gaussianBlur", GaussianBlur);
NODE_SET_PROTOTYPE_METHOD(ctor, "medianBlur", MedianBlur);
NODE_SET_PROTOTYPE_METHOD(ctor, "bilateralFilter", BilateralFilter);
NODE_SET_PROTOTYPE_METHOD(ctor, "copy", Copy);
NODE_SET_PROTOTYPE_METHOD(ctor, "flip", Flip);
NODE_SET_PROTOTYPE_METHOD(ctor, "roi", ROI);
NODE_SET_PROTOTYPE_METHOD(ctor, "ptr", Ptr);
NODE_SET_PROTOTYPE_METHOD(ctor, "absDiff", AbsDiff);
NODE_SET_PROTOTYPE_METHOD(ctor, "addWeighted", AddWeighted);
NODE_SET_PROTOTYPE_METHOD(ctor, "bitwiseXor", BitwiseXor);
NODE_SET_PROTOTYPE_METHOD(ctor, "bitwiseNot", BitwiseNot);
NODE_SET_PROTOTYPE_METHOD(ctor, "bitwiseAnd", BitwiseAnd);
NODE_SET_PROTOTYPE_METHOD(ctor, "countNonZero", CountNonZero);
NODE_SET_PROTOTYPE_METHOD(ctor, "canny", Canny);
NODE_SET_PROTOTYPE_METHOD(ctor, "dilate", Dilate);
NODE_SET_PROTOTYPE_METHOD(ctor, "erode", Erode);
NODE_SET_PROTOTYPE_METHOD(ctor, "findContours", FindContours);
NODE_SET_PROTOTYPE_METHOD(ctor, "drawContour", DrawContour);
NODE_SET_PROTOTYPE_METHOD(ctor, "drawAllContours", DrawAllContours);
NODE_SET_PROTOTYPE_METHOD(ctor, "goodFeaturesToTrack", GoodFeaturesToTrack);
NODE_SET_PROTOTYPE_METHOD(ctor, "houghLinesP", HoughLinesP);
NODE_SET_PROTOTYPE_METHOD(ctor, "crop", Crop);
NODE_SET_PROTOTYPE_METHOD(ctor, "houghCircles", HoughCircles);
NODE_SET_PROTOTYPE_METHOD(ctor, "inRange", inRange);
NODE_SET_PROTOTYPE_METHOD(ctor, "adjustROI", AdjustROI);
NODE_SET_PROTOTYPE_METHOD(ctor, "locateROI", LocateROI);
NODE_SET_PROTOTYPE_METHOD(ctor, "threshold", Threshold);
NODE_SET_PROTOTYPE_METHOD(ctor, "adaptiveThreshold", AdaptiveThreshold);
NODE_SET_PROTOTYPE_METHOD(ctor, "meanStdDev", MeanStdDev);
NODE_SET_PROTOTYPE_METHOD(ctor, "cvtColor", CvtColor);
NODE_SET_PROTOTYPE_METHOD(ctor, "split", Split);
NODE_SET_PROTOTYPE_METHOD(ctor, "merge", Merge);
NODE_SET_PROTOTYPE_METHOD(ctor, "equalizeHist", EqualizeHist);
NODE_SET_PROTOTYPE_METHOD(ctor, "floodFill", FloodFill);
NODE_SET_PROTOTYPE_METHOD(ctor, "matchTemplate", MatchTemplate);
NODE_SET_PROTOTYPE_METHOD(ctor, "templateMatches", TemplateMatches);
NODE_SET_PROTOTYPE_METHOD(ctor, "minMaxLoc", MinMaxLoc);
NODE_SET_PROTOTYPE_METHOD(ctor, "pushBack", PushBack);
NODE_SET_PROTOTYPE_METHOD(ctor, "putText", PutText);
NODE_SET_PROTOTYPE_METHOD(ctor, "getPerspectiveTransform", GetPerspectiveTransform);
NODE_SET_PROTOTYPE_METHOD(ctor, "warpPerspective", WarpPerspective);
NODE_SET_METHOD(ctor, "Zeros", Zeros);
NODE_SET_METHOD(ctor, "Ones", Ones);
NODE_SET_METHOD(ctor, "Eye", Eye);
NODE_SET_PROTOTYPE_METHOD(ctor, "copyWithMask", CopyWithMask);
NODE_SET_PROTOTYPE_METHOD(ctor, "setWithMask", SetWithMask);
NODE_SET_PROTOTYPE_METHOD(ctor, "meanWithMask", MeanWithMask);
NODE_SET_PROTOTYPE_METHOD(ctor, "shift", Shift);
NODE_SET_PROTOTYPE_METHOD(ctor, "release", Release);
target->Set(NanNew("Matrix"), ctor->GetFunction());
};
NAN_METHOD(Matrix::New) {
NanScope();
if (args.This()->InternalFieldCount() == 0) {
NanThrowTypeError("Cannot instantiate without new");
}
Matrix *mat;
if (args.Length() == 0) {
mat = new Matrix;
} else if (args.Length() == 2 && args[0]->IsInt32() && args[1]->IsInt32()) {
mat = new Matrix(args[0]->IntegerValue(), args[1]->IntegerValue());
} else if (args.Length() == 3 && args[0]->IsInt32() && args[1]->IsInt32()
&& args[2]->IsInt32()) {
mat = new Matrix(args[0]->IntegerValue(), args[1]->IntegerValue(),
args[2]->IntegerValue());
} else if (args.Length() == 4 && args[0]->IsInt32() && args[1]->IsInt32() &&
args[2]->IsInt32() && args[3]->IsArray()) {
} else { // if (args.Length() == 5) {
Matrix *other = ObjectWrap::Unwrap<Matrix>(args[0]->ToObject());
int x = args[1]->IntegerValue();
int y = args[2]->IntegerValue();
int w = args[3]->IntegerValue();
int h = args[4]->IntegerValue();
mat = new Matrix(other->mat, cv::Rect(x, y, w, h));
}
mat->Wrap(args.Holder());
NanReturnValue(args.Holder());
}
Matrix::Matrix() :
ObjectWrap() {
mat = cv::Mat();
}
Matrix::Matrix(int rows, int cols) :
ObjectWrap() {
mat = cv::Mat(rows, cols, CV_32FC3);
}
Matrix::Matrix(int rows, int cols, int type) :
ObjectWrap() {
mat = cv::Mat(rows, cols, type);
}
Matrix::Matrix(cv::Mat m, cv::Rect roi) :
ObjectWrap() {
mat = cv::Mat(m, roi);
}
Matrix::Matrix(int rows, int cols, int type, Local<Object> scalarObj) {
mat = cv::Mat(rows, cols, type);
if (mat.channels() == 3) {
mat.setTo(cv::Scalar(scalarObj->Get(0)->IntegerValue(),
scalarObj->Get(1)->IntegerValue(),
scalarObj->Get(2)->IntegerValue()));
} else if (mat.channels() == 2) {
mat.setTo(cv::Scalar(scalarObj->Get(0)->IntegerValue(),
scalarObj->Get(1)->IntegerValue()));
} else if (mat.channels() == 1) {
mat.setTo(cv::Scalar(scalarObj->Get(0)->IntegerValue()));
} else {
NanThrowError("Only 1-3 channels are supported");
}
}
NAN_METHOD(Matrix::Empty) {
SETUP_FUNCTION(Matrix)
NanReturnValue(NanNew<Boolean>(self->mat.empty()));
}
double Matrix::DblGet(cv::Mat mat, int i, int j) {
double val = 0;
cv::Vec3b pix;
unsigned int pint = 0;
switch (mat.type()) {
case CV_32FC3:
pix = mat.at<cv::Vec3b>(i, j);
pint |= (uchar) pix.val[2];
pint |= ((uchar) pix.val[1]) << 8;
pint |= ((uchar) pix.val[0]) << 16;
val = (double) pint;
break;
case CV_64FC1:
val = mat.at<double>(i, j);
break;
default:
val = mat.at<double>(i, j);
break;
}
return val;
}
NAN_METHOD(Matrix::Pixel) {
SETUP_FUNCTION(Matrix)
int y = args[0]->IntegerValue();
int x = args[1]->IntegerValue();
// cv::Scalar scal = self->mat.at<uchar>(y, x);
if (args.Length() == 3) {
Local < Object > objColor = args[2]->ToObject();
if (self->mat.channels() == 3) {
self->mat.at<cv::Vec3b>(y, x)[0] =
(uchar) objColor->Get(0)->IntegerValue();
self->mat.at<cv::Vec3b>(y, x)[1] =
(uchar) objColor->Get(1)->IntegerValue();
self->mat.at<cv::Vec3b>(y, x)[2] =
(uchar) objColor->Get(2)->IntegerValue();
} else if (self->mat.channels() == 1)
self->mat.at<uchar>(y, x) = (uchar) objColor->Get(0)->IntegerValue();
NanReturnValue(args[2]->ToObject());
} else {
if (self->mat.channels() == 3) {
cv::Vec3b intensity = self->mat.at<cv::Vec3b>(y, x);
v8::Local < v8::Array > arr = NanNew<v8::Array>(3);
arr->Set(0, NanNew<Number>(intensity[0]));
arr->Set(1, NanNew<Number>(intensity[1]));
arr->Set(2, NanNew<Number>(intensity[2]));
NanReturnValue(arr);
} else if (self->mat.channels() == 1) {
uchar intensity = self->mat.at<uchar>(y, x);
NanReturnValue(NanNew<Number>(intensity));
}
}
NanReturnUndefined();
// double val = Matrix::DblGet(t, i, j);
// NanReturnValue(NanNew<Number>(val));
}
NAN_METHOD(Matrix::Get) {
SETUP_FUNCTION(Matrix)
int i = args[0]->IntegerValue();
int j = args[1]->IntegerValue();
double val = Matrix::DblGet(self->mat, i, j);
NanReturnValue(NanNew<Number>(val));
}
NAN_METHOD(Matrix::Set) {
SETUP_FUNCTION(Matrix)
int i = args[0]->IntegerValue();
int j = args[1]->IntegerValue();
double val = args[2]->NumberValue();
int vint = 0;
if (args.Length() == 4) {
self->mat.at<cv::Vec3b>(i, j)[args[3]->NumberValue()] = val;
} else if (args.Length() == 3) {
switch (self->mat.type()) {
case CV_32FC3:
vint = static_cast<unsigned int>(val + 0.5);
self->mat.at<cv::Vec3b>(i, j)[0] = (uchar) (vint >> 16) & 0xff;
self->mat.at<cv::Vec3b>(i, j)[1] = (uchar) (vint >> 8) & 0xff;
self->mat.at<cv::Vec3b>(i, j)[2] = (uchar) (vint) & 0xff;
// printf("!!!i %x, %x, %x", (vint >> 16) & 0xff, (vint >> 8) & 0xff, (vint) & 0xff);
break;
default:
self->mat.at<double>(i, j) = val;
}
} else {
NanThrowTypeError("Invalid number of arguments");
}
NanReturnUndefined();
}
// @author tualo
// put node buffer directly into the image data
// img.put(new Buffer([0,100,0,100,100...]));
NAN_METHOD(Matrix::Put) {
SETUP_FUNCTION(Matrix)
if (!Buffer::HasInstance(args[0])) {
NanThrowTypeError("Not a buffer");
}
const char* buffer_data = Buffer::Data(args[0]);
size_t buffer_length = Buffer::Length(args[0]);
memcpy(self->mat.data, buffer_data, buffer_length);
NanReturnUndefined();
}
// @author tualo
// getData getting node buffer of image data
NAN_METHOD(Matrix::GetData) {
NanScope();
Matrix *self = ObjectWrap::Unwrap<Matrix>(args.This());
int size = self->mat.rows * self->mat.cols * self->mat.elemSize1();
Local<Object> buf = NanNewBufferHandle(size);
uchar* data = (uchar*) Buffer::Data(buf);
memcpy(data, self->mat.data, size);
v8::Local<v8::Object> globalObj = NanGetCurrentContext()->Global();
v8::Local<v8::Function> bufferConstructor = v8::Local<v8::Function>::Cast(globalObj->Get(NanNew<String>("Buffer")));
v8::Handle<v8::Value> constructorArgs[3] = {buf, NanNew<v8::Integer>((unsigned) size), NanNew<v8::Integer>(0)};
v8::Local<v8::Object> actualBuffer = bufferConstructor->NewInstance(3, constructorArgs);
NanReturnValue(actualBuffer);
}
NAN_METHOD(Matrix::Brightness) {
NanScope();
Matrix *self = ObjectWrap::Unwrap<Matrix>(args.This());
if (args.Length() == 2) {
cv::Mat image;
if (self->mat.channels() == 3) {
image = self->mat;
} else if (self->mat.channels() == 1) {
cv::Mat myimg = self->mat;
cv::cvtColor(myimg, image, CV_GRAY2RGB);
} else {
NanThrowError("those channels are not supported");
}
cv::Mat new_image = cv::Mat::zeros( image.size(), image.type() );
double alpha = args[0]->NumberValue();
int beta = args[1]->IntegerValue();
// Do the operation new_image(i,j) = alpha*image(i,j) + beta
for (int y = 0; y < image.rows; y++ ) {
for (int x = 0; x < image.cols; x++ ) {
for (int c = 0; c < 3; c++ ) {
new_image.at<cv::Vec3b>(y,x)[c] =
cv::saturate_cast<uchar>(alpha*( image.at<cv::Vec3b>(y,x)[c] ) + beta);
}
}
}
if (self->mat.channels() == 3) {
new_image.copyTo(self->mat);
} else if (self->mat.channels() == 1) {
cv::Mat gray;
cv::cvtColor(new_image, gray, CV_BGR2GRAY);
gray.copyTo(self->mat);
}
} else {
if (args.Length() == 1) {
int diff = args[0]->IntegerValue();
cv::Mat img = self->mat + diff;
img.copyTo(self->mat);
} else {
NanReturnValue(NanNew("Insufficient or wrong arguments"));
}
}
NanReturnNull();
}
// @author tualo
// normalize wrapper
NAN_METHOD(Matrix::Normalize) {
if (!args[0]->IsNumber()) {
NanThrowTypeError("min is required (argument 1)");
}
if (!args[1]->IsNumber()) {
NanThrowTypeError("max is required (argument 2)");
}
int type = cv::NORM_MINMAX;
if (args[2]->IsNumber()) {
type = args[2]->Uint32Value();
if ((type != cv::NORM_MINMAX) || (type != cv::NORM_INF)
|| (type != cv::NORM_L1) || (type != cv::NORM_L2)
|| (type != cv::NORM_L2SQR) || (type != cv::NORM_HAMMING)
|| (type != cv::NORM_HAMMING2) || (type != cv::NORM_RELATIVE)
|| (type != cv::NORM_TYPE_MASK)) {
NanThrowTypeError("type value must be NORM_INF=1, NORM_L1=2, NORM_L2=4,"
" NORM_L2SQR=5, NORM_HAMMING=6, NORM_HAMMING2=7, NORM_TYPE_MASK=7, "
"NORM_RELATIVE=8, NORM_MINMAX=32 ");
}
}
int dtype = -1;
if (args[3]->IsNumber()) {
dtype = args[3]->IntegerValue();
}
double min = args[0]->NumberValue();
double max = args[1]->NumberValue();
Matrix *self = ObjectWrap::Unwrap<Matrix>(args.This());
cv::Mat norm;
cv::Mat mask;
if (args[4]->IsObject()) {
Matrix *mmask = ObjectWrap::Unwrap<Matrix>(args[4]->ToObject());
mask = mmask->mat;
}
cv::normalize(self->mat, norm, min, max, type, dtype, mask);
norm.copyTo(self->mat);
NanReturnNull();
}
NAN_METHOD(Matrix::Size) {
SETUP_FUNCTION(Matrix)
v8::Local < v8::Array > arr = NanNew<Array>(2);
arr->Set(0, NanNew<Number>(self->mat.size().height));
arr->Set(1, NanNew<Number>(self->mat.size().width));
NanReturnValue(arr);
}
NAN_METHOD(Matrix::Clone) {
SETUP_FUNCTION(Matrix)
Local < Object > im_h =
NanNew(Matrix::constructor)->GetFunction()->NewInstance();
Matrix *m = ObjectWrap::Unwrap<Matrix>(im_h);
m->mat = self->mat.clone();
NanReturnValue(im_h);
}
NAN_METHOD(Matrix::Crop) {
SETUP_FUNCTION(Matrix)
if ((args.Length() == 4) && (args[0]->IsNumber()) && (args[1]->IsNumber())
&& (args[2]->IsNumber()) && (args[3]->IsNumber())) {
int x = args[0]->IntegerValue();
int y = args[1]->IntegerValue();
int width = args[2]->IntegerValue();
int height = args[3]->IntegerValue();
cv::Rect roi(x, y, width, height);
Local < Object > im_h =
NanNew(Matrix::constructor)->GetFunction()->NewInstance();
Matrix *m = ObjectWrap::Unwrap<Matrix>(im_h);
m->mat = self->mat(roi);
NanReturnValue(im_h);
} else {
NanReturnValue(NanNew("Insufficient or wrong arguments"));
}
}
NAN_METHOD(Matrix::Row) {
SETUP_FUNCTION(Matrix)
int width = self->mat.size().width;
int y = args[0]->IntegerValue();
v8::Local < v8::Array > arr = NanNew<Array>(width);
for (int x = 0; x < width; x++) {
double v = Matrix::DblGet(self->mat, y, x);
arr->Set(x, NanNew<Number>(v));
}
NanReturnValue(arr);
}
NAN_METHOD(Matrix::PixelRow) {
SETUP_FUNCTION(Matrix)
int width = self->mat.size().width;
int y = args[0]->IntegerValue();
v8::Local < v8::Array > arr = NanNew<Array>(width * 3);
for (int x = 0; x < width; x++) {
cv::Vec3b pixel = self->mat.at<cv::Vec3b>(y, x);
int offset = x * 3;
arr->Set(offset, NanNew<Number>((double) pixel.val[0]));
arr->Set(offset + 1, NanNew<Number>((double) pixel.val[1]));
arr->Set(offset + 2, NanNew<Number>((double) pixel.val[2]));
}
NanReturnValue(arr);
}
NAN_METHOD(Matrix::Col) {
SETUP_FUNCTION(Matrix)
int height = self->mat.size().height;
int x = args[0]->IntegerValue();
v8::Local < v8::Array > arr = NanNew<Array>(height);
for (int y = 0; y < height; y++) {
double v = Matrix::DblGet(self->mat, y, x);
arr->Set(y, NanNew<Number>(v));
}
NanReturnValue(arr);
}
NAN_METHOD(Matrix::PixelCol) {
SETUP_FUNCTION(Matrix)
int height = self->mat.size().height;
int x = args[0]->IntegerValue();
v8::Local < v8::Array > arr = NanNew<Array>(height * 3);
for (int y = 0; y < height; y++) {
cv::Vec3b pixel = self->mat.at<cv::Vec3b>(y, x);
int offset = y * 3;
arr->Set(offset, NanNew<Number>((double) pixel.val[0]));
arr->Set(offset + 1, NanNew<Number>((double) pixel.val[1]));
arr->Set(offset + 2, NanNew<Number>((double) pixel.val[2]));
}
NanReturnValue(arr);
}
NAN_METHOD(Matrix::Width) {
SETUP_FUNCTION(Matrix)
NanReturnValue(NanNew<Number>(self->mat.size().width));
}
NAN_METHOD(Matrix::Height) {
SETUP_FUNCTION(Matrix)
NanReturnValue(NanNew<Number>(self->mat.size().height));
}
NAN_METHOD(Matrix::Channels) {
SETUP_FUNCTION(Matrix)
NanReturnValue(NanNew<Number>(self->mat.channels()));
}
NAN_METHOD(Matrix::ToBuffer) {
SETUP_FUNCTION(Matrix)
if ((args.Length() > 0) && (args[0]->IsFunction())) {
return Matrix::ToBufferAsync(args);
}
// SergeMv changes
// img.toBuffer({ext: ".png", pngCompression: 9}); // default png compression is 3
// img.toBuffer({ext: ".jpg", jpegQuality: 80});
// img.toBuffer(); // creates Jpeg with quality of 95 (Opencv default quality)
// via the ext you can do other image formats too (like tiff), see
// http://docs.opencv.org/modules/highgui/doc/reading_and_writing_images_and_video.html#imencode
//---------------------------
// Provide default value
const char *ext = ".jpg";
std::string optExt;
std::vector<int> params;
// See if the options argument is passed
if ((args.Length() > 0) && (args[0]->IsObject())) {
// Get this options argument
v8::Handle < v8::Object > options = v8::Handle<v8::Object>::Cast(args[0]);
// If the extension (image format) is provided
if (options->Has(NanNew<String>("ext"))) {
v8::String::Utf8Value str(
options->Get(NanNew<String>("ext"))->ToString());
optExt = *str;
ext = (const char *) optExt.c_str();
}
if (options->Has(NanNew<String>("jpegQuality"))) {
int compression =
options->Get(NanNew<String>("jpegQuality"))->IntegerValue();
params.push_back(CV_IMWRITE_JPEG_QUALITY);
params.push_back(compression);
}
if (options->Has(NanNew<String>("pngCompression"))) {
int compression =
options->Get(NanNew<String>("pngCompression"))->IntegerValue();
params.push_back(CV_IMWRITE_PNG_COMPRESSION);
params.push_back(compression);
}
}
//---------------------------
std::vector<uchar> vec(0);
cv::imencode(ext, self->mat, vec, params);
Local < Object > buf = NanNewBufferHandle(vec.size());
uchar* data = (uchar*) Buffer::Data(buf);
memcpy(data, &vec[0], vec.size());
v8::Local < v8::Object > globalObj = NanGetCurrentContext()->Global();
v8::Local < v8::Function > bufferConstructor = v8::Local < v8::Function
> ::Cast(globalObj->Get(NanNew<String>("Buffer")));
v8::Handle<v8::Value> constructorArgs[3] =
{buf, NanNew<v8::Integer>((unsigned)vec.size()), NanNew<v8::Integer>(0)};
v8::Local < v8::Object > actualBuffer = bufferConstructor->NewInstance(3,
constructorArgs);
NanReturnValue(actualBuffer);
}
class AsyncToBufferWorker: public NanAsyncWorker {
public:
AsyncToBufferWorker(NanCallback *callback, Matrix* matrix, string ext,
vector<int> params) :
NanAsyncWorker(callback),
matrix(matrix),
ext(ext),
params(params) {
}
~AsyncToBufferWorker() {
}
void Execute() {
std::vector<uchar> vec(0);
// std::vector<int> params(0);//CV_IMWRITE_JPEG_QUALITY 90
cv::imencode(ext, this->matrix->mat, vec, this->params);
res = vec;
}
void HandleOKCallback() {
NanScope();
Local<Object> buf = NanNewBufferHandle(res.size());
uchar* data = (uchar*) Buffer::Data(buf);
memcpy(data, &res[0], res.size());
v8::Local<v8::Object> globalObj = NanGetCurrentContext()->Global();
v8::Local<v8::Function> bufferConstructor = v8::Local<v8::Function>::Cast(globalObj->Get(NanNew<String>("Buffer")));
v8::Handle<v8::Value> constructorArgs[3] = {buf, NanNew<v8::Integer>((unsigned)res.size()), NanNew<v8::Integer>(0)};
v8::Local<v8::Object> actualBuffer = bufferConstructor->NewInstance(3, constructorArgs);
Local<Value> argv[] = {
NanNull(),
actualBuffer
};
TryCatch try_catch;
callback->Call(2, argv);
if (try_catch.HasCaught()) {
FatalException(try_catch);
}
}
private:
Matrix* matrix;
std::string ext;
std::vector<int> params;
std::vector<uchar> res;
};
NAN_METHOD(Matrix::ToBufferAsync) {
SETUP_FUNCTION(Matrix)
REQ_FUN_ARG(0, cb);
std::string ext = std::string(".jpg");
std::vector<int> params;
// See if the options argument is passed
if ((args.Length() > 1) && (args[1]->IsObject())) {
// Get this options argument
v8::Handle < v8::Object > options = v8::Handle<v8::Object>::Cast(args[1]);
// If the extension (image format) is provided
if (options->Has(NanNew<String>("ext"))) {
v8::String::Utf8Value str(
options->Get(NanNew<String>("ext"))->ToString());
std::string str2 = std::string(*str);
ext = str2;
}
if (options->Has(NanNew<String>("jpegQuality"))) {
int compression =
options->Get(NanNew<String>("jpegQuality"))->IntegerValue();
params.push_back(CV_IMWRITE_JPEG_QUALITY);
params.push_back(compression);
}
if (options->Has(NanNew<String>("pngCompression"))) {
int compression =
options->Get(NanNew<String>("pngCompression"))->IntegerValue();
params.push_back(CV_IMWRITE_PNG_COMPRESSION);
params.push_back(compression);
}
}
NanCallback *callback = new NanCallback(cb.As<Function>());
NanAsyncQueueWorker(new AsyncToBufferWorker(callback, self, ext, params));
NanReturnUndefined();
}
NAN_METHOD(Matrix::Ellipse) {
SETUP_FUNCTION(Matrix)
int x = 0;
int y = 0;
int width = 0;
int height = 0;
cv::Scalar color(0, 0, 255);
int thickness = 1;
double angle = 0;
double startAngle = 0;
double endAngle = 360;
int lineType = 8;
int shift = 0;
if (args[0]->IsObject()) {
v8::Handle < v8::Object > options = v8::Handle<v8::Object>::Cast(args[0]);
if (options->Has(NanNew<String>("center"))) {
Local < Object > center =
options->Get(NanNew<String>("center"))->ToObject();
x = center->Get(NanNew<String>("x"))->Uint32Value();
y = center->Get(NanNew<String>("y"))->Uint32Value();
}
if (options->Has(NanNew<String>("axes"))) {
Local < Object > axes = options->Get(NanNew<String>("axes"))->ToObject();
width = axes->Get(NanNew<String>("width"))->Uint32Value();
height = axes->Get(NanNew<String>("height"))->Uint32Value();
}
if (options->Has(NanNew<String>("thickness"))) {
thickness = options->Get(NanNew<String>("thickness"))->Uint32Value();
}
if (options->Has(NanNew<String>("angle"))) {
angle = options->Get(NanNew<String>("angle"))->NumberValue();
}
if (options->Has(NanNew<String>("startAngle"))) {
startAngle = options->Get(NanNew<String>("startAngle"))->NumberValue();
}
if (options->Has(NanNew<String>("endAngle"))) {
endAngle = options->Get(NanNew<String>("endAngle"))->NumberValue();
}
if (options->Has(NanNew<String>("lineType"))) {
lineType = options->Get(NanNew<String>("lineType"))->Uint32Value();
}
if (options->Has(NanNew<String>("shift"))) {
shift = options->Get(NanNew<String>("shift"))->Uint32Value();
}
if (options->Has(NanNew<String>("color"))) {
Local < Object > objColor =
options->Get(NanNew<String>("color"))->ToObject();
color = setColor(objColor);
}
} else {
x = args[0]->Uint32Value();
y = args[1]->Uint32Value();
width = args[2]->Uint32Value();
height = args[3]->Uint32Value();
if (args[4]->IsArray()) {
Local < Object > objColor = args[4]->ToObject();
color = setColor(objColor);
}
if (args[5]->IntegerValue())
thickness = args[5]->IntegerValue();
}
cv::ellipse(self->mat, cv::Point(x, y), cv::Size(width, height), angle,
startAngle, endAngle, color, thickness, lineType, shift);
NanReturnNull();
}
NAN_METHOD(Matrix::Rectangle) {
SETUP_FUNCTION(Matrix)
if (args[0]->IsArray() && args[1]->IsArray()) {
Local < Object > xy = args[0]->ToObject();
Local < Object > width_height = args[1]->ToObject();
cv::Scalar color(0, 0, 255);
if (args[2]->IsArray()) {
Local < Object > objColor = args[2]->ToObject();
color = setColor(objColor);
}
int x = xy->Get(0)->IntegerValue();
int y = xy->Get(1)->IntegerValue();
int width = width_height->Get(0)->IntegerValue();
int height = width_height->Get(1)->IntegerValue();
int thickness = 1;
if (args[3]->IntegerValue())
thickness = args[3]->IntegerValue();
cv::rectangle(self->mat, cv::Point(x, y), cv::Point(x + width, y + height),
color, thickness);
}
NanReturnNull();
}
NAN_METHOD(Matrix::Line) {
SETUP_FUNCTION(Matrix)
if (args[0]->IsArray() && args[1]->IsArray()) {
Local < Object > xy1 = args[0]->ToObject();
Local < Object > xy2 = args[1]->ToObject();
cv::Scalar color(0, 0, 255);
if (args[2]->IsArray()) {
Local < Object > objColor = args[2]->ToObject();
color = setColor(objColor);
}
int x1 = xy1->Get(0)->IntegerValue();
int y1 = xy1->Get(1)->IntegerValue();
int x2 = xy2->Get(0)->IntegerValue();
int y2 = xy2->Get(1)->IntegerValue();
int thickness = 1;
if (args[3]->IntegerValue())
thickness = args[3]->IntegerValue();
cv::line(self->mat, cv::Point(x1, y1), cv::Point(x2, y2), color, thickness);
}
NanReturnNull();
}
NAN_METHOD(Matrix::FillPoly) {
SETUP_FUNCTION(Matrix)
if (args[0]->IsArray()) {
Local < Array > polyArray = Local < Array > ::Cast(args[0]->ToObject());
cv::Point **polygons = new cv::Point*[polyArray->Length()];
int *polySizes = new int[polyArray->Length()];
for (unsigned int i = 0; i < polyArray->Length(); i++) {
Local<Array> singlePoly = Local<Array> ::Cast(polyArray->Get(i)->ToObject());
polygons[i] = new cv::Point[singlePoly->Length()];
polySizes[i] = singlePoly->Length();
for (unsigned int j = 0; j < singlePoly->Length(); j++) {
Local<Array> point = Local<Array> ::Cast(singlePoly->Get(j)->ToObject());
polygons[i][j].x = point->Get(0)->IntegerValue();
polygons[i][j].y = point->Get(1)->IntegerValue();
}
}
cv::Scalar color(0, 0, 255);
if (args[1]->IsArray()) {
Local<Object> objColor = args[1]->ToObject();
color = setColor(objColor);
}
cv::fillPoly(self->mat, (const cv::Point **) polygons, polySizes,
polyArray->Length(), color);
}
NanReturnNull();
}
NAN_METHOD(Matrix::Save) {
SETUP_FUNCTION(Matrix)
if (args.Length() > 1) {
return SaveAsync(args);
}
if (!args[0]->IsString()) {
NanThrowTypeError("filename required");
}
NanAsciiString filename(args[0]);
int res = cv::imwrite(*filename, self->mat);
NanReturnValue(NanNew<Number>(res));
}
// All this is for async save, see here for nan example:
// https://github.com/rvagg/nan/blob/c579ae858ae3208d7e702e8400042ba9d48fa64b/examples/async_pi_estimate/async.cc
class AsyncSaveWorker: public NanAsyncWorker {
public:
AsyncSaveWorker(NanCallback *callback, Matrix* matrix, char* filename) :
NanAsyncWorker(callback),
matrix(matrix),
filename(filename) {
}
~AsyncSaveWorker() {
}
// Executed inside the worker-thread.
// It is not safe to access V8, or V8 data structures
// here, so everything we need for input and output
// should go on `this`.
void Execute() {
res = cv::imwrite(this->filename, this->matrix->mat);
}
// Executed when the async work is complete
// this function will be run inside the main event loop
// so it is safe to use V8 again
void HandleOKCallback() {
NanScope();
Local<Value> argv[] = {
NanNull(),
NanNew<Number>(res)
};
TryCatch try_catch;
callback->Call(2, argv);
if (try_catch.HasCaught()) {
FatalException(try_catch);
}
}
private:
Matrix* matrix;
char* filename;
int res;
};
NAN_METHOD(Matrix::SaveAsync) {
SETUP_FUNCTION(Matrix)
if (!args[0]->IsString()) {
NanThrowTypeError("filename required");
}
NanAsciiString filename(args[0]);
REQ_FUN_ARG(1, cb);
NanCallback *callback = new NanCallback(cb.As<Function>());
NanAsyncQueueWorker(new AsyncSaveWorker(callback, self, *filename));
NanReturnUndefined();
}
NAN_METHOD(Matrix::Zeros) {
NanScope();
int w = args[0]->Uint32Value();
int h = args[1]->Uint32Value();
int type = (args.Length() > 2) ? args[2]->IntegerValue() : CV_64FC1;
Local<Object> im_h = NanNew(Matrix::constructor)->GetFunction()->NewInstance();
Matrix *img = ObjectWrap::Unwrap<Matrix>(im_h);
cv::Mat mat = cv::Mat::zeros(w, h, type);
img->mat = mat;
NanReturnValue(im_h);
}
NAN_METHOD(Matrix::Ones) {
NanScope();
int w = args[0]->Uint32Value();
int h = args[1]->Uint32Value();
int type = (args.Length() > 2) ? args[2]->IntegerValue() : CV_64FC1;
Local<Object> im_h = NanNew(Matrix::constructor)->GetFunction()->NewInstance();
Matrix *img = ObjectWrap::Unwrap<Matrix>(im_h);
cv::Mat mat = cv::Mat::ones(w, h, type);
img->mat = mat;
NanReturnValue(im_h);
}
NAN_METHOD(Matrix::Eye) {
NanScope();
int w = args[0]->Uint32Value();
int h = args[1]->Uint32Value();
int type = (args.Length() > 2) ? args[2]->IntegerValue() : CV_64FC1;
Local<Object> im_h = NanNew(Matrix::constructor)->GetFunction()->NewInstance();
Matrix *img = ObjectWrap::Unwrap<Matrix>(im_h);
cv::Mat mat = cv::Mat::eye(w, h, type);
img->mat = mat;
NanReturnValue(im_h);
}
NAN_METHOD(Matrix::ConvertGrayscale) {
NanScope();
Matrix *self = ObjectWrap::Unwrap<Matrix>(args.This());
if (self->mat.channels() != 3) {
NanThrowError("Image is no 3-channel");
}
cv::Mat gray;
cv::cvtColor(self->mat, gray, CV_BGR2GRAY);
gray.copyTo(self->mat);
NanReturnNull();
}
NAN_METHOD(Matrix::ConvertHSVscale) {
NanScope();
Matrix *self = ObjectWrap::Unwrap<Matrix>(args.This());
if (self->mat.channels() != 3) {
NanThrowError("Image is no 3-channel");
}
cv::Mat hsv;
cv::cvtColor(self->mat, hsv, CV_BGR2HSV);
hsv.copyTo(self->mat);
NanReturnNull();
}
NAN_METHOD(Matrix::GaussianBlur) {
NanScope();
cv::Size ksize;
cv::Mat blurred;
Matrix *self = ObjectWrap::Unwrap<Matrix>(args.This());
if (args.Length() < 1) {
ksize = cv::Size(5, 5);
}
else {
if (!args[0]->IsArray()) {
NanThrowTypeError("'ksize' argument must be a 2 double array");
}
Local<Object> array = args[0]->ToObject();
// TODO: Length check
Local<Value> x = array->Get(0);
Local<Value> y = array->Get(1);
if (!x->IsNumber() || !y->IsNumber()) {
NanThrowTypeError("'ksize' argument must be a 2 double array");
}
ksize = cv::Size(x->NumberValue(), y->NumberValue());
}
cv::GaussianBlur(self->mat, blurred, ksize, 0);
blurred.copyTo(self->mat);
NanReturnNull();
}
NAN_METHOD(Matrix::MedianBlur) {
NanScope();
cv::Mat blurred;
int ksize = 3;
Matrix *self = ObjectWrap::Unwrap<Matrix>(args.This());
if (args[0]->IsNumber()) {
ksize = args[0]->IntegerValue();
if ((ksize % 2) == 0) {
NanThrowTypeError("'ksize' argument must be a positive odd integer");
}
} else {
NanThrowTypeError("'ksize' argument must be a positive odd integer");
}
cv::medianBlur(self->mat, blurred, ksize);
blurred.copyTo(self->mat);
NanReturnNull();
}
NAN_METHOD(Matrix::BilateralFilter) {
NanScope();
cv::Mat filtered;
int d = 15;
double sigmaColor = 80;
double sigmaSpace = 80;
int borderType = cv::BORDER_DEFAULT;
Matrix *self = ObjectWrap::Unwrap<Matrix>(args.This());
if (args.Length() != 0) {
if (args.Length() < 3 || args.Length() > 4) {
NanThrowTypeError("BilateralFilter takes 0, 3, or 4 arguments");
} else {
d = args[0]->IntegerValue();
sigmaColor = args[1]->NumberValue();
sigmaSpace = args[2]->NumberValue();
if (args.Length() == 4) {
borderType = args[3]->IntegerValue();
}
}
}
cv::bilateralFilter(self->mat, filtered, d, sigmaColor, sigmaSpace, borderType);
filtered.copyTo(self->mat);
NanReturnNull();
}
NAN_METHOD(Matrix::Copy) {
NanScope();
Matrix *self = ObjectWrap::Unwrap<Matrix>(args.This());
Local<Object> img_to_return =
NanNew(Matrix::constructor)->GetFunction()->NewInstance();
Matrix *img = ObjectWrap::Unwrap<Matrix>(img_to_return);
self->mat.copyTo(img->mat);
NanReturnValue(img_to_return);
}
NAN_METHOD(Matrix::Flip) {
NanScope();
Matrix *self = ObjectWrap::Unwrap<Matrix>(args.This());
if ( args.Length() < 1 || !args[0]->IsInt32() ) {
NanThrowTypeError("Flip requires an integer flipCode argument "
"(0 = X axis, positive = Y axis, negative = both axis)");
}
int flipCode = args[0]->ToInt32()->Value();
Local<Object> img_to_return = NanNew(Matrix::constructor)->GetFunction()->NewInstance();
Matrix *img = ObjectWrap::Unwrap<Matrix>(img_to_return);
cv::flip(self->mat, img->mat, flipCode);
NanReturnValue(img_to_return);
}
NAN_METHOD(Matrix::ROI) {
NanScope();
Matrix *self = ObjectWrap::Unwrap<Matrix>(args.This());
if ( args.Length() != 4 ) {
NanThrowTypeError("ROI requires x,y,w,h arguments");
}
// Although it's an image to return, it is in fact a pointer to ROI of parent matrix
Local<Object> img_to_return = NanNew(Matrix::constructor)->GetFunction()->NewInstance();
Matrix *img = ObjectWrap::Unwrap<Matrix>(img_to_return);
int x = args[0]->IntegerValue();
int y = args[1]->IntegerValue();
int w = args[2]->IntegerValue();
int h = args[3]->IntegerValue();
cv::Mat roi(self->mat, cv::Rect(x,y,w,h));
img->mat = roi;
NanReturnValue(img_to_return);
}
NAN_METHOD(Matrix::Ptr) {
NanScope();
Matrix *self = ObjectWrap::Unwrap<Matrix>(args.This());
int line = args[0]->Uint32Value();
char* data = self->mat.ptr<char>(line);
// uchar* data = self->mat.data;
// char *mydata = "Random raw data\0";
Local<Object> return_buffer = NanNewBufferHandle((char*)data, self->mat.step);
NanReturnValue( return_buffer );
// NanReturnUndefined();
}
NAN_METHOD(Matrix::AbsDiff) {
NanScope();
Matrix *self = ObjectWrap::Unwrap<Matrix>(args.This());
Matrix *src1 = ObjectWrap::Unwrap<Matrix>(args[0]->ToObject());
Matrix *src2 = ObjectWrap::Unwrap<Matrix>(args[1]->ToObject());
cv::absdiff(src1->mat, src2->mat, self->mat);
NanReturnNull();
}
NAN_METHOD(Matrix::AddWeighted) {
NanScope();
Matrix *self = ObjectWrap::Unwrap<Matrix>(args.This());
Matrix *src1 = ObjectWrap::Unwrap<Matrix>(args[0]->ToObject());
Matrix *src2 = ObjectWrap::Unwrap<Matrix>(args[2]->ToObject());
float alpha = args[1]->NumberValue();
float beta = args[3]->NumberValue();
int gamma = 0;
try {
cv::addWeighted(src1->mat, alpha, src2->mat, beta, gamma, self->mat);
} catch(cv::Exception& e ) {
const char* err_msg = e.what();
NanThrowError(err_msg);
}
NanReturnNull();
}
NAN_METHOD(Matrix::BitwiseXor) {
NanScope();
Matrix *self = ObjectWrap::Unwrap<Matrix>(args.This());
Matrix *src1 = ObjectWrap::Unwrap<Matrix>(args[0]->ToObject());
Matrix *src2 = ObjectWrap::Unwrap<Matrix>(args[1]->ToObject());
if (args.Length() == 3) {
Matrix *mask = ObjectWrap::Unwrap<Matrix>(args[2]->ToObject());
cv::bitwise_xor(src1->mat, src2->mat, self->mat, mask->mat);
} else {
cv::bitwise_xor(src1->mat, src2->mat, self->mat);
}
NanReturnNull();
}
NAN_METHOD(Matrix::BitwiseNot) {
NanScope();
Matrix *self = ObjectWrap::Unwrap<Matrix>(args.This());
Matrix *dst = ObjectWrap::Unwrap<Matrix>(args[0]->ToObject());
if (args.Length() == 2) {
Matrix *mask = ObjectWrap::Unwrap<Matrix>(args[1]->ToObject());
cv::bitwise_not(self->mat, dst->mat, mask->mat);
} else {
cv::bitwise_not(self->mat, dst->mat);
}
NanReturnNull();
}
NAN_METHOD(Matrix::BitwiseAnd) {
NanScope();
Matrix *self = ObjectWrap::Unwrap<Matrix>(args.This());
Matrix *src1 = ObjectWrap::Unwrap<Matrix>(args[0]->ToObject());
Matrix *src2 = ObjectWrap::Unwrap<Matrix>(args[1]->ToObject());
if (args.Length() == 3) {
Matrix *mask = ObjectWrap::Unwrap<Matrix>(args[2]->ToObject());
cv::bitwise_and(src1->mat, src2->mat, self->mat, mask->mat);
} else {
cv::bitwise_and(src1->mat, src2->mat, self->mat);
}
NanReturnNull();
}
NAN_METHOD(Matrix::CountNonZero) {
NanScope();
Matrix *self = ObjectWrap::Unwrap<Matrix>(args.This());
double count = (double)cv::countNonZero(self->mat);
NanReturnValue(NanNew<Number>(count));
}
/*
NAN_METHOD(Matrix::Split) {
NanScope();
//Matrix *self = ObjectWrap::Unwrap<Matrix>(args.This());
NanReturnNull();
} */
NAN_METHOD(Matrix::Canny) {
NanScope();
Matrix *self = ObjectWrap::Unwrap<Matrix>(args.This());
int lowThresh = args[0]->NumberValue();
int highThresh = args[1]->NumberValue();
cv::Canny(self->mat, self->mat, lowThresh, highThresh);
NanReturnNull();
}
NAN_METHOD(Matrix::Dilate) {
NanScope();
Matrix *self = ObjectWrap::Unwrap<Matrix>(args.This());
int niters = args[0]->NumberValue();
cv::dilate(self->mat, self->mat, cv::Mat(), cv::Point(-1, -1), niters);
NanReturnNull();
}
NAN_METHOD(Matrix::Erode) {
NanScope();
Matrix *self = ObjectWrap::Unwrap<Matrix>(args.This());
int niters = args[0]->NumberValue();
cv::erode(self->mat, self->mat, cv::Mat(), cv::Point(-1, -1), niters);
NanReturnNull();
}
NAN_METHOD(Matrix::FindContours) {
NanScope();
int mode = CV_RETR_LIST;
int chain = CV_CHAIN_APPROX_SIMPLE;
if (args.Length() > 0) {
if (args[0]->IsNumber()) mode = args[0]->IntegerValue();
}
if (args.Length() > 1) {
if (args[1]->IsNumber()) chain = args[1]->IntegerValue();
}
Matrix *self = ObjectWrap::Unwrap<Matrix>(args.This());
Local<Object> conts_to_return= NanNew(Contour::constructor)->GetFunction()->NewInstance();
Contour *contours = ObjectWrap::Unwrap<Contour>(conts_to_return);
cv::findContours(self->mat, contours->contours, contours->hierarchy, mode, chain);
NanReturnValue(conts_to_return);
}
NAN_METHOD(Matrix::DrawContour) {
NanScope();
Matrix *self = ObjectWrap::Unwrap<Matrix>(args.This());
Contour *cont = ObjectWrap::Unwrap<Contour>(args[0]->ToObject());
int pos = args[1]->NumberValue();
cv::Scalar color(0, 0, 255);
if (args[2]->IsArray()) {
Local<Object> objColor = args[2]->ToObject();
color = setColor(objColor);
}
int thickness = args.Length() < 4 ? 1 : args[3]->NumberValue();
cv::drawContours(self->mat, cont->contours, pos, color, thickness);
NanReturnUndefined();
}
NAN_METHOD(Matrix::DrawAllContours) {
NanScope();
Matrix *self = ObjectWrap::Unwrap<Matrix>(args.This());
Contour *cont = ObjectWrap::Unwrap<Contour>(args[0]->ToObject());
cv::Scalar color(0, 0, 255);
if (args[1]->IsArray()) {
Local<Object> objColor = args[1]->ToObject();
color = setColor(objColor);
}
int thickness = args.Length() < 3 ? 1 : args[2]->NumberValue();
cv::drawContours(self->mat, cont->contours, -1, color, thickness);
NanReturnUndefined();
}
NAN_METHOD(Matrix::GoodFeaturesToTrack) {
NanScope();
Matrix *self = ObjectWrap::Unwrap<Matrix>(args.This());
std::vector<cv::Point2f> corners;
cv::Mat gray;
cvtColor(self->mat, gray, CV_BGR2GRAY);
equalizeHist(gray, gray);
cv::goodFeaturesToTrack(gray, corners, 500, 0.01, 10);
v8::Local<v8::Array> arr = NanNew<Array>(corners.size());
for (unsigned int i=0; i<corners.size(); i++) {
v8::Local<v8::Array> pt = NanNew<Array>(2);
pt->Set(0, NanNew<Number>((double) corners[i].x));
pt->Set(1, NanNew<Number>((double) corners[i].y));
arr->Set(i, pt);
}
NanReturnValue(arr);
}
NAN_METHOD(Matrix::HoughLinesP) {
NanScope();
Matrix *self = ObjectWrap::Unwrap<Matrix>(args.This());
double rho = args.Length() < 1 ? 1 : args[0]->NumberValue();
double theta = args.Length() < 2 ? CV_PI/180 : args[1]->NumberValue();
int threshold = args.Length() < 3 ? 80 : args[2]->Uint32Value();
double minLineLength = args.Length() < 4 ? 30 : args[3]->NumberValue();
double maxLineGap = args.Length() < 5 ? 10 : args[4]->NumberValue();
std::vector<cv::Vec4i> lines;
cv::Mat gray;
equalizeHist(self->mat, gray);
// cv::Canny(gray, gray, 50, 200, 3);
cv::HoughLinesP(gray, lines, rho, theta, threshold, minLineLength, maxLineGap);
v8::Local<v8::Array> arr = NanNew<Array>(lines.size());
for (unsigned int i=0; i<lines.size(); i++) {
v8::Local<v8::Array> pt = NanNew<Array>(4);
pt->Set(0, NanNew<Number>((double) lines[i][0]));
pt->Set(1, NanNew<Number>((double) lines[i][1]));
pt->Set(2, NanNew<Number>((double) lines[i][2]));
pt->Set(3, NanNew<Number>((double) lines[i][3]));
arr->Set(i, pt);
}
NanReturnValue(arr);
}
NAN_METHOD(Matrix::HoughCircles) {
NanScope();
Matrix *self = ObjectWrap::Unwrap<Matrix>(args.This());
double dp = args.Length() < 1 ? 1 : args[0]->NumberValue();
double minDist = args.Length() < 2 ? 1 : args[1]->NumberValue();
double higherThreshold = args.Length() < 3 ? 100 : args[2]->NumberValue();
double accumulatorThreshold = args.Length() < 4 ? 100 : args[3]->NumberValue();
int minRadius = args.Length() < 5 ? 0 : args[4]->Uint32Value();
int maxRadius = args.Length() < 6 ? 0 : args[5]->Uint32Value();
std::vector<cv::Vec3f> circles;
cv::Mat gray;
equalizeHist(self->mat, gray);
cv::HoughCircles(gray, circles, CV_HOUGH_GRADIENT, dp, minDist,
higherThreshold, accumulatorThreshold, minRadius, maxRadius);
v8::Local<v8::Array> arr = NanNew<Array>(circles.size());
for (unsigned int i=0; i < circles.size(); i++) {
v8::Local<v8::Array> pt = NanNew<Array>(3);
pt->Set(0, NanNew<Number>((double) circles[i][0])); // center x
pt->Set(1, NanNew<Number>((double) circles[i][1]));// center y
pt->Set(2, NanNew<Number>((double) circles[i][2]));// radius
arr->Set(i, pt);
}
NanReturnValue(arr);
}
cv::Scalar setColor(Local<Object> objColor) {
Local<Value> valB = objColor->Get(0);
Local<Value> valG = objColor->Get(1);
Local<Value> valR = objColor->Get(2);
cv::Scalar color = cv::Scalar(valB->IntegerValue(), valG->IntegerValue(),
valR->IntegerValue());
return color;
}
cv::Point setPoint(Local<Object> objPoint) {
return cv::Point(objPoint->Get(0)->IntegerValue(),
objPoint->Get(1)->IntegerValue());
}
cv::Rect* setRect(Local<Object> objRect, cv::Rect &result) {
if (!objRect->IsArray() || !objRect->Get(0)->IsArray()
|| !objRect->Get(0)->IsArray()) {
printf("error");
return 0;
};
Local < Object > point = objRect->Get(0)->ToObject();
Local < Object > size = objRect->Get(1)->ToObject();
result.x = point->Get(0)->IntegerValue();
result.y = point->Get(1)->IntegerValue();
result.width = size->Get(0)->IntegerValue();
result.height = size->Get(1)->IntegerValue();
return &result;
}
NAN_METHOD(Matrix::Resize) {
NanScope();
int x = args[0]->Uint32Value();
int y = args[1]->Uint32Value();
/*
CV_INTER_NN =0,
CV_INTER_LINEAR =1,
CV_INTER_CUBIC =2,
CV_INTER_AREA =3,
CV_INTER_LANCZOS4 =4
*/
int interpolation = (args.Length() < 3) ? (int)cv::INTER_LINEAR : args[2]->Uint32Value();
Matrix *self = ObjectWrap::Unwrap<Matrix>(args.This());
cv::Mat res = cv::Mat(x, y, CV_32FC3);
cv::resize(self->mat, res, cv::Size(x, y), 0, 0, interpolation);
~self->mat;
self->mat = res;
NanReturnUndefined();
}
NAN_METHOD(Matrix::Rotate) {
NanScope();
Matrix *self = ObjectWrap::Unwrap<Matrix>(args.This());
cv::Mat rotMatrix(2, 3, CV_32FC1);
cv::Mat res;
float angle = args[0]->ToNumber()->Value();
// Modification by SergeMv
//-------------
// If you provide only the angle argument and the angle is multiple of 90, then
// we do a fast thing
bool rightOrStraight = (ceil(angle) == angle) && (!((int)angle % 90))
&& (args.Length() == 1);
if (rightOrStraight) {
int angle2 = ((int)angle) % 360;
if (!angle2) {NanReturnUndefined();}
if (angle2 < 0) {angle2 += 360;}
// See if we do right angle rotation, we transpose the matrix:
if (angle2 % 180) {
cv::transpose(self->mat, res);
~self->mat;
self->mat = res;
}
// Now flip the image
int mode = -1;// flip around both axes
// If counterclockwise, flip around the x-axis
if (angle2 == 90) {mode = 0;}
// If clockwise, flip around the y-axis
if (angle2 == 270) {mode = 1;}
cv::flip(self->mat, self->mat, mode);
NanReturnUndefined();
}
//-------------
int x = args[1]->IsUndefined() ? round(self->mat.size().width / 2) :
args[1]->Uint32Value();
int y = args[1]->IsUndefined() ? round(self->mat.size().height / 2) :
args[2]->Uint32Value();
cv::Point center = cv::Point(x,y);
rotMatrix = getRotationMatrix2D(center, angle, 1.0);
cv::warpAffine(self->mat, res, rotMatrix, self->mat.size());
~self->mat;
self->mat = res;
NanReturnUndefined();
}
NAN_METHOD(Matrix::PyrDown) {
SETUP_FUNCTION(Matrix)
cv::pyrDown(self->mat, self->mat);
NanReturnUndefined();
}
NAN_METHOD(Matrix::PyrUp) {
SETUP_FUNCTION(Matrix)
cv::pyrUp(self->mat, self->mat);
NanReturnUndefined();
}
NAN_METHOD(Matrix::inRange) {
NanScope();
Matrix *self = ObjectWrap::Unwrap<Matrix>(args.This());
/*if (self->mat.channels() != 3)
NanThrowError(String::New("Image is no 3-channel"));*/
if (args[0]->IsArray() && args[1]->IsArray()) {
Local<Object> args_lowerb = args[0]->ToObject();
Local<Object> args_upperb = args[1]->ToObject();
cv::Scalar lowerb(0, 0, 0);
cv::Scalar upperb(0, 0, 0);
lowerb = setColor(args_lowerb);
upperb = setColor(args_upperb);
cv::Mat mask;
cv::inRange(self->mat, lowerb, upperb, mask);
mask.copyTo(self->mat);
}
NanReturnNull();
}
NAN_METHOD(Matrix::AdjustROI) {
SETUP_FUNCTION(Matrix)
int dtop = args[0]->Uint32Value();
int dbottom = args[1]->Uint32Value();
int dleft = args[2]->Uint32Value();
int dright = args[3]->Uint32Value();
self->mat.adjustROI(dtop, dbottom, dleft, dright);
NanReturnNull();
}
NAN_METHOD(Matrix::LocateROI) {
SETUP_FUNCTION(Matrix)
cv::Size wholeSize;
cv::Point ofs;
self->mat.locateROI(wholeSize, ofs);
v8::Local < v8::Array > arr = NanNew<Array>(4);
arr->Set(0, NanNew<Number>(wholeSize.width));
arr->Set(1, NanNew<Number>(wholeSize.height));
arr->Set(2, NanNew<Number>(ofs.x));
arr->Set(3, NanNew<Number>(ofs.y));
NanReturnValue(arr);
}
NAN_METHOD(Matrix::Threshold) {
SETUP_FUNCTION(Matrix)
double threshold = args[0]->NumberValue();
double maxVal = args[1]->NumberValue();
int typ = cv::THRESH_BINARY;
if (args.Length() == 3) {
// typ = args[2]->IntegerValue();
NanAsciiString typstr(args[2]);
if (strcmp(*typstr, "Binary") == 0) {
typ = 0;
}
if (strcmp(*typstr, "Binary Inverted") == 0) {
typ = 1;
}
if (strcmp(*typstr, "Threshold Truncated") == 0) {
typ = 2;
}
if (strcmp(*typstr, "Threshold to Zero") == 0) {
typ = 3;
}
if (strcmp(*typstr, "Threshold to Zero Inverted") == 0) {
typ = 4;
}
}
Local < Object > img_to_return =
NanNew(Matrix::constructor)->GetFunction()->NewInstance();
Matrix *img = ObjectWrap::Unwrap<Matrix>(img_to_return);
self->mat.copyTo(img->mat);
cv::threshold(self->mat, img->mat, threshold, maxVal, typ);
NanReturnValue(img_to_return);
}
NAN_METHOD(Matrix::AdaptiveThreshold) {
SETUP_FUNCTION(Matrix)
double maxVal = args[0]->NumberValue();
double adaptiveMethod = args[1]->NumberValue();
double thresholdType = args[2]->NumberValue();
double blockSize = args[3]->NumberValue();
double C = args[4]->NumberValue();
Local < Object > img_to_return =
NanNew(Matrix::constructor)->GetFunction()->NewInstance();
Matrix *img = ObjectWrap::Unwrap<Matrix>(img_to_return);
self->mat.copyTo(img->mat);
cv::adaptiveThreshold(self->mat, img->mat, maxVal, adaptiveMethod,
thresholdType, blockSize, C);
NanReturnValue(img_to_return);
}
NAN_METHOD(Matrix::MeanStdDev) {
NanScope();
Matrix *self = ObjectWrap::Unwrap<Matrix>(args.This());
Local<Object> mean = NanNew(Matrix::constructor)->GetFunction()->NewInstance();
Matrix *m_mean = ObjectWrap::Unwrap<Matrix>(mean);
Local<Object> stddev = NanNew(Matrix::constructor)->GetFunction()->NewInstance();
Matrix *m_stddev = ObjectWrap::Unwrap<Matrix>(stddev);
cv::meanStdDev(self->mat, m_mean->mat, m_stddev->mat);
Local<Object> data = NanNew<Object>();
data->Set(NanNew<String>("mean"), mean);
data->Set(NanNew<String>("stddev"), stddev);
NanReturnValue(data);
}
// @author SergeMv
// Copies our (small) image into a ROI of another (big) image
// @param Object another image (destination)
// @param Number Destination x (where our image is to be copied)
// @param Number Destination y (where our image is to be copied)
// Example: smallImg.copyTo(bigImg, 50, 50);
// Note, x,y and width and height of our image must be so that
// our.width + x <= destination.width (and the same for y and height)
// both x and y must be >= 0
NAN_METHOD(Matrix::CopyTo) {
NanScope();
Matrix * self = ObjectWrap::Unwrap<Matrix>(args.This());
int width = self->mat.size().width;
int height = self->mat.size().height;
// param 0 - destination image:
Matrix *dest = ObjectWrap::Unwrap<Matrix>(args[0]->ToObject());
// param 1 - x coord of the destination
int x = args[1]->IntegerValue();
// param 2 - y coord of the destination
int y = args[2]->IntegerValue();
cv::Mat dstROI = cv::Mat(dest->mat, cv::Rect(x, y, width, height));
self->mat.copyTo(dstROI);
NanReturnUndefined();
}
// @author SergeMv
// Does in-place color transformation
// img.cvtColor('CV_BGR2YCrCb');
NAN_METHOD(Matrix::CvtColor) {
NanScope();
Matrix * self = ObjectWrap::Unwrap<Matrix>(args.This());
v8::String::Utf8Value str (args[0]->ToString());
std::string str2 = std::string(*str);
const char * sTransform = (const char *) str2.c_str();
int iTransform;
//
if (!strcmp(sTransform, "CV_BGR2GRAY")) {iTransform = CV_BGR2GRAY;}
else if (!strcmp(sTransform, "CV_GRAY2BGR")) {iTransform = CV_GRAY2BGR;}
//
else if (!strcmp(sTransform, "CV_BGR2XYZ")) {iTransform = CV_BGR2XYZ;}
else if (!strcmp(sTransform, "CV_XYZ2BGR")) {iTransform = CV_XYZ2BGR;}
//
else if (!strcmp(sTransform, "CV_BGR2YCrCb")) {iTransform = CV_BGR2YCrCb;}
else if (!strcmp(sTransform, "CV_YCrCb2BGR")) {iTransform = CV_YCrCb2BGR;}
//
else if (!strcmp(sTransform, "CV_BGR2HSV")) {iTransform = CV_BGR2HSV;}
else if (!strcmp(sTransform, "CV_HSV2BGR")) {iTransform = CV_HSV2BGR;}
//
else if (!strcmp(sTransform, "CV_BGR2HLS")) {iTransform = CV_BGR2HLS;}
else if (!strcmp(sTransform, "CV_HLS2BGR")) {iTransform = CV_HLS2BGR;}
//
else if (!strcmp(sTransform, "CV_BGR2Lab")) {iTransform = CV_BGR2Lab;}
else if (!strcmp(sTransform, "CV_Lab2BGR")) {iTransform = CV_Lab2BGR;}
//
else if (!strcmp(sTransform, "CV_BGR2Luv")) {iTransform = CV_BGR2Luv;}
else if (!strcmp(sTransform, "CV_Luv2BGR")) {iTransform = CV_Luv2BGR;}
//
else if (!strcmp(sTransform, "CV_BayerBG2BGR")) {iTransform = CV_BayerBG2BGR;}
else if (!strcmp(sTransform, "CV_BayerGB2BGR")) {iTransform = CV_BayerGB2BGR;}
else if (!strcmp(sTransform, "CV_BayerRG2BGR")) {iTransform = CV_BayerRG2BGR;}
else if (!strcmp(sTransform, "CV_BayerGR2BGR")) {iTransform = CV_BayerGR2BGR;}
else {
iTransform = 0; // to avoid compiler warning
NanThrowTypeError("Conversion code is unsupported");
}
cv::cvtColor(self->mat, self->mat, iTransform);
NanReturnUndefined();
}
// @author SergeMv
// arrChannels = img.split();
NAN_METHOD(Matrix::Split) {
NanScope();
Matrix * self = ObjectWrap::Unwrap<Matrix>(args.This());
unsigned int size = self->mat.channels();
vector<cv::Mat> channels;
// Split doesn't seem to work on empty vectors
for (unsigned int i = 0; i < size; i++) {
channels.push_back(cv::Mat());
}
cv::split(self->mat, channels);
size = channels.size();
v8::Local<v8::Array> arrChannels = NanNew<Array>(size);
for (unsigned int i = 0; i < size; i++) {
Local<Object> matObject =
NanNew(Matrix::constructor)->GetFunction()->NewInstance();
Matrix * m = ObjectWrap::Unwrap<Matrix>(matObject);
m->mat = channels[i];
arrChannels->Set(i, matObject);
}
NanReturnValue(arrChannels);
}
// @author SergeMv
// img.merge(arrChannels);
NAN_METHOD(Matrix::Merge) {
NanScope();
Matrix * self = ObjectWrap::Unwrap<Matrix>(args.This());
if (!args[0]->IsArray()) {
NanThrowTypeError("The argument must be an array");
}
v8::Handle<v8::Array> jsChannels = v8::Handle<v8::Array>::Cast(args[0]);
unsigned int L = jsChannels->Length();
vector<cv::Mat> vChannels(L);
for (unsigned int i = 0; i < L; i++) {
Matrix * matObject = ObjectWrap::Unwrap<Matrix>(jsChannels->Get(i)->ToObject());
vChannels[i] = matObject->mat;
}
cv::merge(vChannels, self->mat);
NanReturnUndefined();
}
// @author SergeMv
// Equalizes histogram
// img.equalizeHist()
NAN_METHOD(Matrix::EqualizeHist) {
NanScope();
Matrix * self = ObjectWrap::Unwrap<Matrix>(args.This());
cv::equalizeHist(self->mat, self->mat);
NanReturnUndefined();
}
NAN_METHOD(Matrix::FloodFill) {
SETUP_FUNCTION(Matrix)
// obj->Get(NanNew<String>("x"))
// int cv::floodFill(cv::InputOutputArray, cv::Point, cv::Scalar, cv::Rect*, cv::Scalar, cv::Scalar, int)
/* mat.floodFill( {seedPoint: [1,1] ,
newColor: [255,0,0] ,
rect:[[0,2],[30,40]] ,
loDiff : [8,90,60],
upDiff:[10,100,70]
}); */
if (args.Length() < 1 || !args[0]->IsObject()) {
// error
}
Local < Object > obj = args[0]->ToObject();
cv::Rect rect;
int ret = cv::floodFill(self->mat,
setPoint(obj->Get(NanNew<String>("seedPoint"))->ToObject()),
setColor(obj->Get(NanNew<String>("newColor"))->ToObject()),
obj->Get(NanNew<String>("rect"))->IsUndefined() ?
0 : setRect(obj->Get(NanNew<String>("rect"))->ToObject(), rect),
setColor(obj->Get(NanNew<String>("loDiff"))->ToObject()),
setColor(obj->Get(NanNew<String>("upDiff"))->ToObject()), 4);
NanReturnValue(NanNew<Number>(ret));
}
// @author olfox
// Returns an array of the most probable positions
// Usage: output = input.templateMatches(min_probability, max_probability, limit, ascending, min_x_distance, min_y_distance);
NAN_METHOD(Matrix::TemplateMatches) {
SETUP_FUNCTION(Matrix)
bool filter_min_probability =
(args.Length() >= 1) ? args[0]->IsNumber() : false;
bool filter_max_probability =
(args.Length() >= 2) ? args[1]->IsNumber() : false;
double min_probability = filter_min_probability ? args[0]->NumberValue() : 0;
double max_probability = filter_max_probability ? args[1]->NumberValue() : 0;
int limit = (args.Length() >= 3) ? args[2]->IntegerValue() : 0;
bool ascending = (args.Length() >= 4) ? args[3]->BooleanValue() : false;
int min_x_distance = (args.Length() >= 5) ? args[4]->IntegerValue() : 0;
int min_y_distance = (args.Length() >= 6) ? args[5]->IntegerValue() : 0;
cv::Mat_<int> indices;
if (ascending) {
cv::sortIdx(self->mat.reshape(0, 1), indices,
CV_SORT_ASCENDING + CV_SORT_EVERY_ROW);
} else {
cv::sortIdx(self->mat.reshape(0, 1), indices,
CV_SORT_DESCENDING + CV_SORT_EVERY_ROW);
}
cv::Mat hit_mask = cv::Mat::zeros(self->mat.size(), CV_64F);
v8::Local < v8::Array > probabilites_array = NanNew<v8::Array>(limit);
cv::Mat_<float>::const_iterator begin = self->mat.begin<float>();
cv::Mat_<int>::const_iterator it = indices.begin();
cv::Mat_<int>::const_iterator end = indices.end();
int index = 0;
for (; (limit == 0 || index < limit) && it != end; ++it) {
cv::Point pt = (begin + *it).pos();
float probability = self->mat.at<float>(pt.y, pt.x);
if (filter_min_probability && probability < min_probability) {
if (ascending) {
continue;
}
else {
break;
}
}
if (filter_max_probability && probability > max_probability) {
if (ascending)
break;
else
continue;
}
if (min_x_distance != 0 || min_y_distance != 0) {
// Check hit mask color for for every corner
cv::Size maxSize = hit_mask.size();
int max_x = maxSize.width - 1;
int max_y = maxSize.height - 1;
cv::Point top_left = cv::Point(max(0, pt.x - min_x_distance),
max(0, pt.y - min_y_distance));
cv::Point top_right = cv::Point(min(max_x, pt.x + min_x_distance),
max(0, pt.y - min_y_distance));
cv::Point bottom_left = cv::Point(max(0, pt.x - min_x_distance),
min(max_y, pt.y + min_y_distance));
cv::Point bottom_right = cv::Point(min(max_x, pt.x + min_x_distance),
min(max_y, pt.y + min_y_distance));
if (hit_mask.at<double>(top_left.y, top_left.x) > 0)
continue;
if (hit_mask.at<double>(top_right.y, top_right.x) > 0)
continue;
if (hit_mask.at<double>(bottom_left.y, bottom_left.x) > 0)
continue;
if (hit_mask.at<double>(bottom_right.y, bottom_right.x) > 0)
continue;
cv::Scalar color(255.0);
cv::rectangle(hit_mask, top_left, bottom_right, color, CV_FILLED);
}
Local<Value> x_value = NanNew<Number>(pt.x);
Local<Value> y_value = NanNew<Number>(pt.y);
Local<Value> probability_value = NanNew<Number>(probability);
Local < Object > probability_object = NanNew<Object>();
probability_object->Set(NanNew<String>("x"), x_value);
probability_object->Set(NanNew<String>("y"), y_value);
probability_object->Set(NanNew<String>("probability"), probability_value);
probabilites_array->Set(index, probability_object);
index++;
}
NanReturnValue(probabilites_array);
}
// @author ytham
// Match Template filter
// Usage: output = input.matchTemplate("templateFileString", method);
NAN_METHOD(Matrix::MatchTemplate) {
NanScope();
Matrix *self = ObjectWrap::Unwrap<Matrix>(args.This());
v8::String::Utf8Value args0(args[0]->ToString());
std::string filename = std::string(*args0);
cv::Mat templ;
templ = cv::imread(filename, CV_8S);
Local<Object> out = NanNew(Matrix::constructor)->GetFunction()->NewInstance();
Matrix *m_out = ObjectWrap::Unwrap<Matrix>(out);
int cols = self->mat.cols - templ.cols + 1;
int rows = self->mat.rows - templ.rows + 1;
m_out->mat.create(cols, rows, CV_32FC1);
/*
TM_SQDIFF =0
TM_SQDIFF_NORMED =1
TM_CCORR =2
TM_CCORR_NORMED =3
TM_CCOEFF =4
TM_CCOEFF_NORMED =5
*/
int method = (args.Length() < 2) ? (int)cv::TM_CCORR_NORMED : args[1]->Uint32Value();
cv::matchTemplate(self->mat, templ, m_out->mat, method);
NanReturnValue(out);
}
// @author ytham
// Min/Max location
NAN_METHOD(Matrix::MinMaxLoc) {
NanScope();
Matrix *self = ObjectWrap::Unwrap<Matrix>(args.This());
double minVal; double maxVal; cv::Point minLoc; cv::Point maxLoc;
cv::minMaxLoc(self->mat, &minVal, &maxVal, &minLoc, &maxLoc, cv::Mat() );
Local<Value> v_minVal = NanNew<Number>(minVal);
Local<Value> v_maxVal = NanNew<Number>(maxVal);
Local<Value> v_minLoc_x = NanNew<Number>(minLoc.x);
Local<Value> v_minLoc_y = NanNew<Number>(minLoc.y);
Local<Value> v_maxLoc_x = NanNew<Number>(maxLoc.x);
Local<Value> v_maxLoc_y = NanNew<Number>(maxLoc.y);
Local<Object> o_minLoc = NanNew<Object>();
o_minLoc->Set(NanNew<String>("x"), v_minLoc_x);
o_minLoc->Set(NanNew<String>("y"), v_minLoc_y);
Local<Object> o_maxLoc = NanNew<Object>();
o_maxLoc->Set(NanNew<String>("x"), v_maxLoc_x);
o_maxLoc->Set(NanNew<String>("y"), v_maxLoc_y);
// Output result object
Local<Object> result = NanNew<Object>();
result->Set(NanNew<String>("minVal"), v_minVal);
result->Set(NanNew<String>("maxVal"), v_maxVal);
result->Set(NanNew<String>("minLoc"), o_minLoc);
result->Set(NanNew<String>("maxLoc"), o_maxLoc);
NanReturnValue(result);
}
// @author ytham
// Pushes some matrix (argument) the back of a matrix (self)
NAN_METHOD(Matrix::PushBack) {
NanScope();
Matrix *self = ObjectWrap::Unwrap<Matrix>(args.This());
Matrix *m_input = ObjectWrap::Unwrap<Matrix>(args[0]->ToObject());
self->mat.push_back(m_input->mat);
NanReturnValue(args.This());
}
NAN_METHOD(Matrix::PutText) {
NanScope();
Matrix *self = ObjectWrap::Unwrap<Matrix>(args.This());
NanAsciiString textString(args[0]); //FIXME: might cause issues, see here https://github.com/rvagg/nan/pull/152
char *text = *textString;//(char *) malloc(textString.length() + 1);
//strcpy(text, *textString);
int x = args[1]->IntegerValue();
int y = args[2]->IntegerValue();
NanAsciiString fontString(args[3]);
char *font = *fontString;//(char *) malloc(fontString.length() + 1);
//strcpy(font, *fontString);
int constFont = cv::FONT_HERSHEY_SIMPLEX;
if (!strcmp(font, "HERSEY_SIMPLEX")) {constFont = cv::FONT_HERSHEY_SIMPLEX;}
else if (!strcmp(font, "HERSEY_PLAIN")) {constFont = cv::FONT_HERSHEY_PLAIN;}
else if (!strcmp(font, "HERSEY_DUPLEX")) {constFont = cv::FONT_HERSHEY_DUPLEX;}
else if (!strcmp(font, "HERSEY_COMPLEX")) {constFont = cv::FONT_HERSHEY_COMPLEX;}
else if (!strcmp(font, "HERSEY_TRIPLEX")) {constFont = cv::FONT_HERSHEY_TRIPLEX;}
else if (!strcmp(font, "HERSEY_COMPLEX_SMALL")) {constFont = cv::FONT_HERSHEY_COMPLEX_SMALL;}
else if (!strcmp(font, "HERSEY_SCRIPT_SIMPLEX")) {constFont = cv::FONT_HERSHEY_SCRIPT_SIMPLEX;}
else if (!strcmp(font, "HERSEY_SCRIPT_COMPLEX")) {constFont = cv::FONT_HERSHEY_SCRIPT_COMPLEX;}
else if (!strcmp(font, "HERSEY_SCRIPT_SIMPLEX")) {constFont = cv::FONT_HERSHEY_SCRIPT_SIMPLEX;}
cv::Scalar color(0, 0, 255);
if (args[4]->IsArray()) {
Local<Object> objColor = args[4]->ToObject();
color = setColor(objColor);
}
double scale = args.Length() < 6 ? 1 : args[5]->NumberValue();
double thickness = args.Length() < 7 ? 1 : args[6]->NumberValue();
cv::putText(self->mat, text, cv::Point(x, y), constFont, scale, color, thickness);
NanReturnUndefined();
}
NAN_METHOD(Matrix::GetPerspectiveTransform) {
NanScope();
// extract quad args
Local<Object> srcArray = args[0]->ToObject();
Local<Object> tgtArray = args[1]->ToObject();
std::vector<cv::Point2f> src_corners(4);
std::vector<cv::Point2f> tgt_corners(4);
for (unsigned int i = 0; i < 4; i++) {
src_corners[i] = cvPoint(srcArray->Get(i*2)->IntegerValue(),srcArray->Get(i*2+1)->IntegerValue());
tgt_corners[i] = cvPoint(tgtArray->Get(i*2)->IntegerValue(),tgtArray->Get(i*2+1)->IntegerValue());
}
Local<Object> xfrm = NanNew(Matrix::constructor)->GetFunction()->NewInstance();
Matrix *xfrmmat = ObjectWrap::Unwrap<Matrix>(xfrm);
xfrmmat->mat = cv::getPerspectiveTransform(src_corners, tgt_corners);
NanReturnValue(xfrm);
}
NAN_METHOD(Matrix::WarpPerspective) {
SETUP_FUNCTION(Matrix)
Matrix *xfrm = ObjectWrap::Unwrap<Matrix>(args[0]->ToObject());
int width = args[1]->IntegerValue();
int height = args[2]->IntegerValue();
int flags = cv::INTER_LINEAR;
int borderMode = cv::BORDER_REPLICATE;
cv::Scalar borderColor(0, 0, 255);
if (args[3]->IsArray()) {
Local < Object > objColor = args[3]->ToObject();
borderColor = setColor(objColor);
}
cv::Mat res = cv::Mat(width, height, CV_32FC3);
cv::warpPerspective(self->mat, res, xfrm->mat, cv::Size(width, height), flags,
borderMode, borderColor);
~self->mat;
self->mat = res;
NanReturnNull();
}
NAN_METHOD(Matrix::CopyWithMask) {
SETUP_FUNCTION(Matrix)
// param 0 - destination image:
Matrix *dest = ObjectWrap::Unwrap<Matrix>(args[0]->ToObject());
// param 1 - mask. same size as src and dest
Matrix *mask = ObjectWrap::Unwrap<Matrix>(args[1]->ToObject());
self->mat.copyTo(dest->mat, mask->mat);
NanReturnUndefined();
}
NAN_METHOD(Matrix::SetWithMask) {
SETUP_FUNCTION(Matrix)
// param 0 - target value:
Local < Object > valArray = args[0]->ToObject();
cv::Scalar newvals;
newvals.val[0] = valArray->Get(0)->NumberValue();
newvals.val[1] = valArray->Get(1)->NumberValue();
newvals.val[2] = valArray->Get(2)->NumberValue();
// param 1 - mask. same size as src and dest
Matrix *mask = ObjectWrap::Unwrap<Matrix>(args[1]->ToObject());
self->mat.setTo(newvals, mask->mat);
NanReturnUndefined();
}
NAN_METHOD(Matrix::MeanWithMask) {
SETUP_FUNCTION(Matrix)
// param 0 - mask. same size as src and dest
Matrix *mask = ObjectWrap::Unwrap<Matrix>(args[0]->ToObject());
cv::Scalar means = cv::mean(self->mat, mask->mat);
v8::Local < v8::Array > arr = NanNew<Array>(3);
arr->Set(0, NanNew<Number>(means[0]));
arr->Set(1, NanNew<Number>(means[1]));
arr->Set(2, NanNew<Number>(means[2]));
NanReturnValue(arr);
}
NAN_METHOD(Matrix::Shift) {
SETUP_FUNCTION(Matrix)
cv::Mat res;
double tx = args[0]->NumberValue();
double ty = args[1]->NumberValue();
// get the integer values of args
cv::Point2i deltai(ceil(tx), ceil(ty));
int fill = cv::BORDER_REPLICATE;
cv::Scalar value = cv::Scalar(0, 0, 0, 0);
// INTEGER SHIFT
// first create a border around the parts of the Mat that will be exposed
int t = 0, b = 0, l = 0, r = 0;
if (deltai.x > 0) {
l = deltai.x;
}
if (deltai.x < 0) {
r = -deltai.x;
}
if (deltai.y > 0) {
t = deltai.y;
}
if (deltai.y < 0) {
b = -deltai.y;
}
cv::Mat padded;
cv::copyMakeBorder(self->mat, padded, t, b, l, r, fill, value);
// construct the region of interest around the new matrix
cv::Rect roi = cv::Rect(std::max(-deltai.x, 0), std::max(-deltai.y, 0), 0, 0)
+ self->mat.size();
res = padded(roi);
~self->mat;
self->mat = res;
NanReturnUndefined();
}
NAN_METHOD(Matrix::Release) {
NanScope();
Matrix *self = ObjectWrap::Unwrap<Matrix>(args.This());
self->mat.release();
NanReturnUndefined();
}
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