Merge github.com:talvarez/node-opencv

Conflicts:
	src/Matrix.cc
	src/Matrix.h

build.sh

@@ -0,0 +1,6 @@
+#!/bin/bash
+
+node-waf configure build &&
+cd examples &&
+#node face_detection.js
+node $1

doc

@@ -0,0 +1,61 @@
+Examples
+Face Detection
+
+    cv.readImage("./examples/test.jpg", function(err, im){
+      im.detectObject("./examples/haarcascade_frontalface_alt.xml", {}, function(err, faces){  
+        for (var i=0;i<faces.length; i++){
+          var x = faces[i]
+          im.ellipse(x.x + x.width/2, x.y + x.height/2, x.width/2, x.height/2);
+        }
+        im.save('./out.jpg');   
+
+      });
+    })
+
+API Documentation
+Matrix
+
+The matrix is the most useful base datastructure in OpenCV. Things like images are just matrices of pixels.
+Creation
+
+    new Matrix(width, height)
+
+Or you can use opencv to read in image files. Supported formats are in the OpenCV docs, but jpgs etc are supported.
+
+    cv.readImage(filename, function(mat){
+      ...
+    })
+
+    cv.readImage(buffer, function(mat){
+      ...
+    })
+
+If you need to pipe data into an image, you can use an imagestream:
+
+    var s = new cv.ImageStream()
+
+    s.on('load', function(matrix){ 
+      ...
+    }) 
+
+    fs.createReadStream('./examples/test.jpg').pipe(s);        
+
+Accessors
+
+    var mat = new cv.Matrix.Eye(4,4); // Create identity matrix
+
+    mat.get(0,0) // 1
+
+    mat.row(0)  // [1,0,0,0]
+    mat.col(4)  // [0,0,0,1]
+
+Image Processing
+Object Detection
+
+There is a shortcut method for Viola-Jones Haar Cascade object detection. This can be used for face detection etc.
+
+    mat.detectObject(haar_cascade_xml, opts, function(err, matches){})
+
+WIP
+
+This is a WIP. I've never written C++ before so the code may be interesting - if I'm doing stuff wrong please feel free to correct me.

examples/addweighted.js

@@ -0,0 +1,16 @@
+var cv = require('../lib/opencv');
+
+
+cv.readImage("./mona.png", function(err, orig) {
+
+	cv.readImage("./over_text.png", function(err, over_text) {
+
+		var result = new cv.Matrix(orig.width(), orig.height());
+
+		result.addWeighted(orig, 0.7, over_text, 0.9);
+		result.save("/tmp/weighted.png");
+	});
+
+});
+
+

examples/camera.js

@@ -0,0 +1,13 @@
+var cv = require('../lib/opencv');
+
+var camera = new cv.VideoCapture(0);
+
+
+setInterval(function() {
+
+	camera.read(function(im) {
+
+		im.save('/tmp/cam.png');
+	});
+
+}, 1000);

examples/contours.js

@@ -0,0 +1,36 @@
+var cv = require('../lib/opencv');
+
+var lowThresh = 0;
+var highThresh = 100;
+var nIters = 2;
+var maxArea = 2500;
+
+var GREEN = [0, 255, 0]; //B, G, R
+var WHITE = [255, 255, 255]; //B, G, R
+
+
+cv.readImage('./stuff.png', function(err, im) {
+
+	var big = new cv.Matrix(im.width(), im.height()); 
+	var all = new cv.Matrix(im.width(), im.height()); 
+
+	im.convertGrayscale();
+	im_canny = im.copy();
+
+	im_canny.canny(lowThresh, highThresh);
+	im_canny.dilate(nIters);
+
+	contours = im_canny.findContours();
+
+	for(i = 0; i < contours.size(); i++) {
+		if(contours.area(i) > maxArea) {
+			big.drawContour(contours, i, GREEN);
+		}
+	}
+
+	all.drawAllContours(contours, WHITE);
+
+
+	big.save('/tmp/big.png');
+	all.save('/tmp/all.png');
+});

examples/convert_image.js

@@ -0,0 +1,18 @@
+var cv = require('../lib/opencv');
+
+
+cv.readImage("./mona.png", function(err, im) {
+
+				img_hsv = im.copy();
+				img_gray = im.copy();
+
+				img_hsv.convertHSVscale();
+				img_gray.convertGrayscale();
+
+				im.save("/tmp/nor.png");
+				img_hsv.save("/tmp/hsv.png");
+				img_gray.save("/tmp/gray.png");
+
+				console.log("Guardado");
+});
+

examples/face_detection.js

@@ -0,0 +1,18 @@
+var cv = require('../lib/opencv')
+  , assert = require('assert')
+  , fs =require('fs')
+
+
+//console.log(cv.version)
+cv.readImage("./mona.png", function(err, im){
+
+					im.detectObject("./haarcascade_frontalface_alt.xml", {}, function(err, faces){  
+ 
+								for (var i=0;i<faces.length; i++){
+									var x = faces[i];
+									im.ellipse(x.x + x.width/2, x.y + x.height/2, x.width/2, x.height/2);
+								}
+
+								im.save('./out.png');   
+  					});
+});

examples/salt.js

@@ -0,0 +1,27 @@
+var cv = require('../lib/opencv');
+
+
+cv.readImage("./mona.png", function(err, im) {
+	salt(im, 3000);
+	im.save("/tmp/salt.png");
+});
+
+
+
+function salt(img, n) {
+
+
+	if (img.channels() == 1) {
+
+		console.log("1 Canales");
+	} else if (img.channels() == 3) {
+
+		for(k = 0; k < n; k ++) {
+			i = Math.random() * img.width();
+			j = Math.random() * img.height();
+
+			img.set(j, i, 255);
+		}
+	}
+
+}

lib/opencv.js

@@ -1,5 +1,5 @@
 var Stream = require('stream').Stream
-  , Buffers = require('buffers')
+  , Buffers = require('buffer')
   , util = require('util');
 
 var bindings = require('./bindings')

src/CascadeClassifierWrap.cc

@@ -3,6 +3,8 @@
 #include "Matrix.h"
 
 
+void AsyncDetectMultiScale(uv_work_t *req);
+void AfterAsyncDetectMultiScale(uv_work_t *req);
 
 Persistent<FunctionTemplate> CascadeClassifierWrap::constructor;
 
@@ -61,6 +63,8 @@ struct classifier_baton_t {
   int minh;
   int sleep_for;
   std::vector<cv::Rect> res;
+
+  uv_work_t request;
 };
 
 
@@ -102,10 +106,13 @@ CascadeClassifierWrap::DetectMultiScale(const v8::Arguments& args){
   baton->minw = minw;
   baton->minh = minh;
   baton->sleep_for = 1;
-  self->Ref();
+  baton->request.data = baton;
+//  self->Ref();
 
-  eio_custom(EIO_DetectMultiScale, EIO_PRI_DEFAULT, EIO_AfterDetectMultiScale, baton);
-  ev_ref(EV_DEFAULT_UC);
+//  eio_custom(EIO_DetectMultiScale, EIO_PRI_DEFAULT, EIO_AfterDetectMultiScale, baton);
+//  ev_ref(EV_DEFAULT_UC);
+
+  uv_queue_work(uv_default_loop(), &baton->request, AsyncDetectMultiScale, AfterAsyncDetectMultiScale);
 
   return Undefined();
 
@@ -113,31 +120,33 @@ CascadeClassifierWrap::DetectMultiScale(const v8::Arguments& args){
 }
 
 
-void 
-CascadeClassifierWrap::EIO_DetectMultiScale(eio_req *req){
+void AsyncDetectMultiScale(uv_work_t *req) {
   classifier_baton_t *baton = static_cast<classifier_baton_t *>(req->data);
 
-  sleep(baton->sleep_for);
-
+//  sleep(baton->sleep_for);
 
   std::vector<cv::Rect> objects;
 
   cv::Mat gray;
 
-  cvtColor( baton->im->mat, gray, CV_BGR2GRAY );
-  equalizeHist( gray, gray);
+  if(baton->im->mat.channels() != 1)
+		  cvtColor(baton->im->mat, gray, CV_BGR2GRAY);
 
+
+  equalizeHist( gray, gray);
   baton->cc->cc.detectMultiScale(gray, objects, baton->scale, baton->neighbors, 0, cv::Size(baton->minw, baton->minh));
   
   baton->res = objects;
+
+
 }
 
-int 
-CascadeClassifierWrap::EIO_AfterDetectMultiScale(eio_req *req){
+void AfterAsyncDetectMultiScale(uv_work_t *req) {
+
   HandleScope scope;
   classifier_baton_t *baton = static_cast<classifier_baton_t *>(req->data);
-  ev_unref(EV_DEFAULT_UC);
-  baton->cc->Unref();
+//  ev_unref(EV_DEFAULT_UC);
+//  baton->cc->Unref();
 
   Local<Value> argv[2];
 
@@ -169,6 +178,6 @@ CascadeClassifierWrap::EIO_AfterDetectMultiScale(eio_req *req){
 
   delete baton;
   
-  return 0;
+//  return 0;
 }
 

src/Contours.cc

@@ -0,0 +1,73 @@
+#include "Contours.h"
+#include "OpenCV.h"
+
+#include <iostream>
+
+v8::Persistent<FunctionTemplate> Contour::constructor;
+
+
+void
+Contour::Init(Handle<Object> target) {
+	HandleScope scope;
+
+	//Class
+	v8::Local<v8::FunctionTemplate> m = v8::FunctionTemplate::New(New);
+	m->SetClassName(v8::String::NewSymbol("Contours"));
+
+	// Constructor
+	constructor = Persistent<FunctionTemplate>::New(m);
+	constructor->InstanceTemplate()->SetInternalFieldCount(1);
+	constructor->SetClassName(String::NewSymbol("Contours"));
+
+	// Prototype
+	Local<ObjectTemplate> proto = constructor->PrototypeTemplate();
+
+
+	NODE_SET_PROTOTYPE_METHOD(constructor, "size", Size);
+	NODE_SET_PROTOTYPE_METHOD(constructor, "area", Area);
+	target->Set(String::NewSymbol("Contours"), m->GetFunction());
+};
+
+
+Handle<Value>
+Contour::New(const Arguments &args) {
+	HandleScope scope;
+
+	if (args.This()->InternalFieldCount() == 0)
+		return v8::ThrowException(v8::Exception::TypeError(v8::String::New("Cannot instantiate without new")));
+
+	Contour *contours;
+	contours = new Contour;
+
+	contours->Wrap(args.Holder());
+	return scope.Close(args.Holder());
+}
+
+
+Contour::Contour(): ObjectWrap() {
+}
+
+
+Handle<Value>
+Contour::Size(const Arguments &args) {
+	HandleScope scope;
+
+	Contour *self = ObjectWrap::Unwrap<Contour>(args.This());
+
+	return scope.Close(Number::New(self->contours.size()));
+
+}
+
+
+Handle<Value>
+Contour::Area(const Arguments &args) {
+	HandleScope scope;
+
+	Contour *self = ObjectWrap::Unwrap<Contour>(args.This());
+	int pos = args[0]->NumberValue();
+
+	//return scope.Close(Number::New(contourArea(self->contours)));
+	return scope.Close(Number::New(contourArea(cv::Mat(self->contours[pos]))));
+
+
+}

src/Contours.h

@@ -0,0 +1,18 @@
+#include "OpenCV.h"
+
+class Contour: public node::ObjectWrap {
+	public:
+
+	cv::Mat mat;
+	vector<vector<cv::Point> > contours;
+	static Persistent<FunctionTemplate> constructor;
+	static void Init(Handle<Object> target);
+	static Handle<Value> New(const Arguments &args);
+
+	Contour();      
+
+	//JSFUNC(Size)
+	static Handle<Value> Size(const v8::Arguments&);
+	static Handle<Value> Area(const v8::Arguments&);
+};
+

src/Matrix.cc

@@ -1,8 +1,12 @@
+#include "Contours.h"
 #include "Matrix.h"
 #include "OpenCV.h"
 
 v8::Persistent<FunctionTemplate> Matrix::constructor;
 
+cv::Scalar setColor(Local<Object> objColor);
+
+//
 
 void
 Matrix::Init(Handle<Object> target) {
@@ -37,6 +41,21 @@ Matrix::Init(Handle<Object> target) {
 	NODE_SET_PROTOTYPE_METHOD(constructor, "ellipse", Ellipse);
 	NODE_SET_PROTOTYPE_METHOD(constructor, "save", Save);
 	NODE_SET_PROTOTYPE_METHOD(constructor, "resize", Resize);
+	NODE_SET_PROTOTYPE_METHOD(constructor, "channels", Channels);
+
+	NODE_SET_PROTOTYPE_METHOD(constructor, "convertGrayscale", ConvertGrayscale);
+	NODE_SET_PROTOTYPE_METHOD(constructor, "convertHSVscale", ConvertHSVscale);
+	NODE_SET_PROTOTYPE_METHOD(constructor, "copy", Copy);
+	NODE_SET_PROTOTYPE_METHOD(constructor, "ptr", Ptr);
+	NODE_SET_PROTOTYPE_METHOD(constructor, "addWeighted", AddWeighted);
+	NODE_SET_PROTOTYPE_METHOD(constructor, "split", Split);
+	NODE_SET_PROTOTYPE_METHOD(constructor, "bla", Bla);
+	NODE_SET_PROTOTYPE_METHOD(constructor, "canny", Canny);
+	NODE_SET_PROTOTYPE_METHOD(constructor, "dilate", Dilate);
+
+	NODE_SET_PROTOTYPE_METHOD(constructor, "findContours", FindContours);
+	NODE_SET_PROTOTYPE_METHOD(constructor, "drawContour", DrawContour);
+	NODE_SET_PROTOTYPE_METHOD(constructor, "drawAllContours", DrawAllContours);
 
 	NODE_SET_METHOD(constructor, "Eye", Eye);
 
@@ -59,18 +78,24 @@ Matrix::New(const Arguments &args) {
 	} else if (args.Length() == 2 && args[0]->IsInt32() && args[1]->IsInt32()){
 			mat = new Matrix(args[0]->IntegerValue(), args[1]->IntegerValue());
 	}
+
 	mat->Wrap(args.Holder());
 	return scope.Close(args.Holder());
 }
 
+
 Matrix::Matrix(): ObjectWrap() {
 	mat = cv::Mat();
 }
 
+
 Matrix::Matrix(int w, int h): ObjectWrap() {
     mat = cv::Mat(w, h, CV_32FC3); 
+	//TODO:Parametrizar esto
+	//mat = cv::Mat(h, w, CV_8UC3);
 }
 
+
 Handle<Value>
 Matrix::Empty(const Arguments& args){
 	SETUP_FUNCTION(Matrix)
@@ -97,7 +122,17 @@ Matrix::Set(const Arguments& args){
 	int j = args[1]->IntegerValue();
 	double val = args[2]->NumberValue();
 
-  self->mat.at<double>(i,j) = val;
+	if(args.Length() == 4) {
+		self->mat.at<cv::Vec3b>(i,j)[args[3]->NumberValue()] = val;
+
+	} else if(args.Length() == 3) {
+		self->mat.at<cv::Vec3b>(i,j)[0] = val;
+		self->mat.at<cv::Vec3b>(i,j)[1] = val;
+		self->mat.at<cv::Vec3b>(i,j)[2] = val;
+
+  } else {
+		return ThrowException(Exception::TypeError(String::New("Invalid number of arguments")));
+  }
 
 	return scope.Close(Undefined());
 }
@@ -137,12 +172,13 @@ Matrix::Row(const Arguments& args){
 		}  
 			arr->Set(x, Number::New(v));
 	}
+
 	return scope.Close(arr);
 }
 
 
 Handle<Value> 
-Matrix::PixelRow(const Arguments& args){
+	Matrix::PixelRow(const Arguments& args){
 	SETUP_FUNCTION(Matrix)
 
 	int width = self->mat.size().width;
@@ -155,7 +191,8 @@ Matrix::PixelRow(const Arguments& args){
 		arr->Set(offset    , Number::New((double)pixel.val[0]));
 		arr->Set(offset + 1, Number::New((double)pixel.val[1]));
 		arr->Set(offset + 2, Number::New((double)pixel.val[2]));
-  }
+}
+
 	return scope.Close(arr);
 }
 
@@ -218,6 +255,12 @@ Matrix::Height(const Arguments& args){
 	return scope.Close(Number::New(self->mat.size().height));
 }
 
+Handle<Value> 
+Matrix::Channels(const Arguments& args){
+	 SETUP_FUNCTION(Matrix)
+
+	return scope.Close(Number::New(self->mat.channels()));
+}
 
 
 Handle<Value>
@@ -242,7 +285,6 @@ Matrix::ToBuffer(const v8::Arguments& args){
 }
 
 
-      // ellipse(x, y, wid, height, angle, startangle, endangle, color, thickness, linetype, shift)
 Handle<Value> 
 Matrix::Ellipse(const v8::Arguments& args){
 	SETUP_FUNCTION(Matrix)
@@ -256,7 +298,7 @@ Matrix::Ellipse(const v8::Arguments& args){
   cv::ellipse(self->mat, cv::Point(x, y), cv::Size(width, height), 0, 0, 360,
     cv::Scalar( (color >> 16) & 0xff , (color >> 8) & 0xff, color & 0xff ), 4, 8, 0);
   return scope.Close(v8::Null());
-}
+	}
 
 
 Handle<Value>
@@ -272,6 +314,7 @@ Matrix::Save(const v8::Arguments& args){
 	return scope.Close(Number::New(res));
 }
 
+
 Handle<Value> 
 Matrix::Eye(const v8::Arguments& args){
 	HandleScope scope;
@@ -281,13 +324,224 @@ Matrix::Eye(const v8::Arguments& args){
 
 	Local<Object> im_h = Matrix::constructor->GetFunction()->NewInstance();
 	Matrix *img = ObjectWrap::Unwrap<Matrix>(im_h);
-  cv::Mat mat = cv::Mat::eye(w, h, CV_32F);
+	cv::Mat mat = cv::Mat::eye(w, h, CV_64FC1);
 
 	img->mat = mat;
 	return scope.Close(im_h);
 }
 
 
+Handle<Value>
+Matrix::ConvertGrayscale(const v8::Arguments& args) {
+	HandleScope scope;
+
+	Matrix *self = ObjectWrap::Unwrap<Matrix>(args.This());
+	if(self->mat.channels() != 3)
+		return ThrowException(String::New("Image is no 3-channel"));
+
+	cv::Mat gray;
+
+	cv::cvtColor(self->mat, gray, CV_BGR2GRAY);
+	gray.copyTo(self->mat);
+
+
+	return scope.Close(v8::Null());
+}
+
+
+Handle<Value>
+Matrix::ConvertHSVscale(const v8::Arguments& args) {
+	HandleScope scope;
+
+	Matrix *self = ObjectWrap::Unwrap<Matrix>(args.This());
+	if(self->mat.channels() != 3)
+		return ThrowException(String::New("Image is no 3-channel"));
+
+	cv::Mat hsv;
+
+	cv::cvtColor(self->mat, hsv, CV_BGR2HSV);
+	hsv.copyTo(self->mat);
+
+	return scope.Close(v8::Null());
+}
+
+
+Handle<Value>
+Matrix::Copy(const v8::Arguments& args) {
+	HandleScope scope;
+
+	Matrix *self = ObjectWrap::Unwrap<Matrix>(args.This());
+
+	Local<Object> img_to_return = Matrix::constructor->GetFunction()->NewInstance();
+	Matrix *img = ObjectWrap::Unwrap<Matrix>(img_to_return);
+	self->mat.copyTo(img->mat);
+
+	return scope.Close(img_to_return);
+}
+
+
+Handle<Value>
+Matrix::Ptr(const v8::Arguments& args) {
+	HandleScope scope;
+	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";
+*/
+	node::Buffer *return_buffer = Buffer::New((char *)data, self->mat.step);
+	return scope.Close( return_buffer->handle_ );
+
+//  return Undefined();
+}
+
+Handle<Value>
+Matrix::Bla(const v8::Arguments& args) {
+	HandleScope scope;
+	int i = args[1]->Uint32Value();
+
+	int div = 64;
+
+	if (Buffer::HasInstance(args[0])){
+
+		char *buf = (char *) Buffer::Data(args[0]->ToObject());
+		unsigned len = Buffer::Length(args[0]->ToObject());
+
+	}
+	return Undefined();
+
+}
+
+
+Handle<Value>
+Matrix::AddWeighted(const v8::Arguments& args) {
+	HandleScope scope;
+
+	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;
+
+	cv::addWeighted(src1->mat, alpha, src2->mat, beta, gamma, self->mat);
+	
+
+	return scope.Close(v8::Null());
+}
+
+
+Handle<Value>
+Matrix::Split(const v8::Arguments& args) {
+	HandleScope scope;
+
+	Matrix *self = ObjectWrap::Unwrap<Matrix>(args.This());
+
+	return scope.Close(v8::Null());
+}
+
+
+Handle<Value>
+Matrix::Canny(const v8::Arguments& args) {
+	HandleScope scope;
+
+	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);
+
+	return scope.Close(v8::Null());
+}
+
+
+Handle<Value>
+Matrix::Dilate(const v8::Arguments& args) {
+	HandleScope scope;
+
+	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);
+
+	return scope.Close(v8::Null());
+}
+
+
+Handle<Value>
+Matrix::FindContours(const v8::Arguments& args) {
+	HandleScope scope;
+
+	Matrix *self = ObjectWrap::Unwrap<Matrix>(args.This());
+
+	Local<Object> conts_to_return= Contour::constructor->GetFunction()->NewInstance();
+	Contour *contours = ObjectWrap::Unwrap<Contour>(conts_to_return);
+
+	cv::findContours(self->mat, contours->contours, CV_RETR_LIST, CV_CHAIN_APPROX_SIMPLE);
+
+	return scope.Close(conts_to_return);
+
+}
+
+
+Handle<Value>
+Matrix::DrawContour(const v8::Arguments& args) {
+	HandleScope scope;
+
+	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);
+	}
+
+	cv::drawContours(self->mat, cont->contours, pos, color, 1);
+
+	return Undefined();
+}
+
+
+Handle<Value>
+Matrix::DrawAllContours(const v8::Arguments& args) {
+	HandleScope scope;
+
+	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);
+	}
+
+	cv::drawContours(self->mat, cont->contours, -1, color, 1);
+
+	return Undefined();
+}
+
+
+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;
+
+}
+
 
 Handle<Value>
 Matrix::Resize(const v8::Arguments& args){

src/Matrix.h

@@ -61,6 +61,7 @@ class Matrix: public node::ObjectWrap {
     JSFUNC(Size)
     JSFUNC(Width)
     JSFUNC(Height)
+    JSFUNC(Channels)
     JSFUNC(ToBuffer)
     JSFUNC(Ellipse)
     JSFUNC(Empty)
@@ -68,6 +69,19 @@ class Matrix: public node::ObjectWrap {
 
     JSFUNC(Resize)
 
+	JSFUNC(ConvertGrayscale)
+	JSFUNC(ConvertHSVscale)
+	JSFUNC(Copy)
+	JSFUNC(Ptr)
+	JSFUNC(Bla)
+	JSFUNC(AddWeighted)
+	JSFUNC(Split)
+	JSFUNC(Canny)
+	JSFUNC(Dilate)
+
+	JSFUNC(FindContours)
+	JSFUNC(DrawContour)
+	JSFUNC(DrawAllContours)
 
 };
 

src/OpenCV.h

@@ -10,6 +10,7 @@
 #include <highgui.h>
 #include <string.h>
 
+
 using namespace v8;
 using namespace node;
 

src/VideoCaptureWrap.cc

@@ -2,8 +2,22 @@
 #include "Matrix.h"
 #include "OpenCV.h"
 
+
+void AsyncRead(uv_work_t *req);
+void AfterAsyncRead(uv_work_t *req);
+
 v8::Persistent<FunctionTemplate> VideoCaptureWrap::constructor;
 
+struct videocapture_baton {
+
+	Persistent<Function> cb;
+	VideoCaptureWrap *vc;
+	Matrix *im;
+
+	uv_work_t request;
+};
+
+
 void
 VideoCaptureWrap::Init(Handle<Object> target) {
     HandleScope scope;
@@ -16,7 +30,7 @@ VideoCaptureWrap::Init(Handle<Object> target) {
 	// Prototype
 	Local<ObjectTemplate> proto = constructor->PrototypeTemplate();
 
-    NODE_SET_PROTOTYPE_METHOD(constructor, "getFrame", GetFrame);
+	NODE_SET_PROTOTYPE_METHOD(constructor, "read", Read);
 
 	target->Set(String::NewSymbol("VideoCapture"), constructor->GetFunction());
 };    
@@ -33,15 +47,17 @@ VideoCaptureWrap::New(const Arguments &args) {
 	if (args[0]->IsNumber()){
 		v = new VideoCaptureWrap(args[0]->NumberValue());
 	} else {}  
+
+
 	v->Wrap(args.This());
+
 	return args.This();
 }
 
-
 VideoCaptureWrap::VideoCaptureWrap(int device){
-  HandleScope scope;
 
-  cv::VideoCapture cap(device);
+	HandleScope scope;
+	cap.open(device);
 
 	if(!cap.isOpened()){
 		ThrowException(Exception::Error(String::New("Camera could not be opened")));
@@ -50,16 +66,50 @@ VideoCaptureWrap::VideoCaptureWrap(int device){
 
 
 Handle<Value>
-VideoCaptureWrap::GetFrame(const Arguments &args) {
-	SETUP_FUNCTION(VideoCaptureWrap)
+VideoCaptureWrap::Read(const Arguments &args) {
 
-	cv::Mat frame;
-  self->cap.retrieve(frame);
+	HandleScope scope;
+	VideoCaptureWrap *v = ObjectWrap::Unwrap<VideoCaptureWrap>(args.This());
 
-  Local<Object> im_h = Matrix::constructor->GetFunction()->NewInstance();
-  Matrix *im = ObjectWrap::Unwrap<Matrix>(im_h);
-  im->mat = frame;
-  return scope.Close(im_h);
+	REQ_FUN_ARG(0, cb);
+
+	videocapture_baton *baton = new videocapture_baton();
+	baton->vc = v;
+	baton->cb = Persistent<Function>::New(cb);
+	baton->im = new Matrix();
+	baton->request.data = baton;
+
+	uv_queue_work(uv_default_loop(), &baton->request, AsyncRead, AfterAsyncRead);
+	return Undefined();
+
+}
+
+void AsyncRead(uv_work_t *req) {
+	videocapture_baton *baton = static_cast<videocapture_baton *>(req->data);
+
+	baton->vc->cap.read(baton->im->mat);
 }
 
 
+void AfterAsyncRead(uv_work_t *req) {
+
+	HandleScope scope;
+
+	videocapture_baton *baton = static_cast<videocapture_baton *>(req->data);
+
+	Local<Object> im_to_return= Matrix::constructor->GetFunction()->NewInstance();
+	Matrix *img = ObjectWrap::Unwrap<Matrix>(im_to_return);
+	cv::Mat mat;
+	mat = baton->im->mat;
+
+	img->mat = mat;
+	Local<Value> argv[1];
+
+	argv[0] = im_to_return;
+
+	baton->cb->Call(Context::GetCurrent()->Global(), 1, argv);
+	baton->cb.Dispose();
+
+		delete baton;
+
+}

src/VideoCaptureWrap.h

@@ -11,7 +11,9 @@ class VideoCaptureWrap: public node::ObjectWrap {
       VideoCaptureWrap(const std::string& filename);
       VideoCaptureWrap(int device); 
 
-      static Handle<Value> GetFrame(const v8::Arguments&);
+      static Handle<Value> Read(const v8::Arguments&);
+
+
       static Handle<Value> GetFrameAt(const v8::Arguments&);
 
 };

src/init.cc

@@ -3,6 +3,7 @@
 #include "Matrix.h"
 #include "CascadeClassifierWrap.h"
 #include "VideoCaptureWrap.h"
+#include "Contours.h"
 
 
 extern "C" void
@@ -13,4 +14,5 @@ init(Handle<Object> target) {
     Matrix::Init(target);
     CascadeClassifierWrap::Init(target);
     VideoCaptureWrap::Init(target);
+	Contour::Init(target);
 };

todo

@@ -0,0 +1,45 @@
+
+im.calcHistograms(function(err, hist){})
+
+im.calcHistograms(mask, function(err, hist){})
+
+
+
+
+
+## Face recognition TODO
+
+
+// Load Database
+// TODO<
+
+
+
+cv.loadImage('test.jpg', function(err, im){
+	im.detectObject("front-face.xml", {}, function(err, faces){       
+		_.each(faces, function(v){
+			
+			// TODO {
+			
+			var section = im.slice(v.x, v.y, v.x + v.width, v.y + v.height);
+			section.convertGrayscale()
+			section.resize(WID, HEIGHT);
+			section.equaliseHistogram();
+
+			// } TODO
+
+		})	
+	})
+})
+
+
+
+
+
+
+-----
+
+
+http://www.athile.net/library/wiki/index.php?title=Library/V8/Tutorial#Wrapping_a_Javascript_function_as_a_std::function.3C.3E
+
+https://www.cloudkick.com/blog/2010/aug/23/writing-nodejs-native-extensions/