mirror of
https://github.com/peterbraden/node-opencv.git
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Merge pull request #179 from marcbachmann/js-improvements
Use this.emit(‘error’) in streams
This commit is contained in:
commit
40ad8ab2ae
157
lib/opencv.js
157
lib/opencv.js
@ -1,32 +1,20 @@
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var Stream = require('stream').Stream
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, Buffers = require('buffers')
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, util = require('util')
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, path = require('path')
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, path = require('path');
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var bindings = require('./bindings')
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var cv = module.exports = {};
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cv.__proto__ = bindings;
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/*
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# Matrix #
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The matrix is one of opencv's most core datatypes.
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*/
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var cv = module.exports = require('./bindings');
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var Matrix = cv.Matrix, VideoCapture = cv.VideoCapture,
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ImageStream, ImageDataStream, ObjectDetectionStream, VideoStream;
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var matrix = cv.Matrix.prototype;
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Matrix.prototype.detectObject = function(classifier, opts, cb){
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var face_cascade;
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opts = opts || {};
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cv._detectObjectClassifiers = cv._detectObjectClassifiers || {};
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matrix.detectObject = function(classifier, opts, cb){
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opts = opts || {}
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cv._detectObjectClassifiers = cv._detectObjectClassifiers || {}
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if (cv._detectObjectClassifiers[classifier]){
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var face_cascade = cv._detectObjectClassifiers[classifier];
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} else{
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var face_cascade = new cv.CascadeClassifier(classifier);
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if (!(face_cascade = cv._detectObjectClassifiers[classifier])){
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face_cascade = new cv.CascadeClassifier(classifier);
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cv._detectObjectClassifiers[classifier] = face_cascade;
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}
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@ -34,124 +22,117 @@ matrix.detectObject = function(classifier, opts, cb){
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, opts.min && opts.min[0], opts.min && opts.min[1]);
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}
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matrix.inspect = function(){
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var size = this.size() ? (this.size()[0] + 'x' + this.size()[1]) : '';
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return "[Matrix " + size + " ]";
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Matrix.prototype.inspect = function(){
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var size = (this.size()||[]).join('x');
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return "[ Matrix " + size + " ]";
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}
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ImageStream =
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cv.ImageStream = function(){
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this.writable = true;
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}
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util.inherits(ImageStream, Stream);
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ImageStream.prototype.write = function(buf){
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var self = this;
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cv.readImage(buf, function(err, matrix){
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if (err) return self.emit('error', err);
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self.emit('data', matrix);
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});
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}
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ImageDataStream =
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cv.ImageDataStream = function(){
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this.data = Buffers([])
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this.writable = true
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this.data = Buffers([]);
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this.writable = true;
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}
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util.inherits(ImageDataStream, Stream);
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util.inherits(cv.ImageDataStream, Stream);
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var imagedatastream = cv.ImageDataStream.prototype;
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imagedatastream.write = function(buf){
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this.data.push(buf)
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ImageDataStream.prototype.write = function(buf){
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this.data.push(buf);
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return true;
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}
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imagedatastream.end = function(b){
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ImageDataStream.prototype.end = function(b){
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var self = this;
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if (b)
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imagestream.write.call(this,b);
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if (b) ImageStream.prototype.write.call(this, b);
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var buf = this.data.toBuffer();
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cv.readImage(buf, function(err, im){
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if (err) return self.emit('error', err);
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self.emit('load', im);
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});
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}
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cv.ImageStream = function(){
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this.writable = true
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}
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util.inherits(cv.ImageStream, Stream);
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var imagestream = cv.ImageStream.prototype;
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imagestream.write = function(buf){
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var self = this;
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cv.readImage(buf, function(err, matrix){
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self.emit('data', matrix);
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});
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}
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// Object detect stream
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ObjectDetectionStream =
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cv.ObjectDetectionStream = function(cascade, opts){
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this.classifier = new cv.CascadeClassifier(cascade);
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this.opts = opts || {}
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this.opts = opts || {};
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this.readable = true;
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this.writable = true;
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}
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util.inherits(ObjectDetectionStream, Stream);
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util.inherits(cv.ObjectDetectionStream, Stream);
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var ods = cv.ObjectDetectionStream.prototype;
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ods.write = function(m){
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ObjectDetectionStream.prototype.write = function(m){
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var self = this;
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this.classifier.detectMultiScale(m,
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function(e, objs){
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if (e) { throw e }
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this.classifier.detectMultiScale(m, function(err, objs){
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if (err) return self.emit('error', err);
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self.emit('data', objs, m);
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}
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, this.opts.scale, this.opts.neighbors
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, this.opts.min && this.opts.min[0], this.opts.min && this.opts.min[1]);
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, this.opts.scale
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, this.opts.neighbors
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, this.opts.min && this.opts.min[0]
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, this.opts.min && this.opts.min[1]);
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}
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// == Video Stream ==
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VideoStream =
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cv.VideoStream = function(src){
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if (src instanceof cv.VideoCapture){
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this.video = src
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} else {
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this.video = new cv.VideoCapture(src);
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}
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if (!(src instanceof VideoCapture)) src = new VideoCapture(src);
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this.video = src;
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this.readable = true;
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this.paused = false;
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}
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util.inherits(VideoStream, Stream);
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util.inherits(cv.VideoStream, Stream);
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var videostream = cv.VideoStream.prototype;
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cv.VideoCapture.prototype.toStream = function(){
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return new cv.VideoStream(this);
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}
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videostream.read = function(){
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VideoStream.prototype.read = function(){
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var self = this;
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var frame = function(){
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self.video.read(function(err, mat){
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self.emit('data', mat)
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if (!self.paused){
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process.nextTick(frame)
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}
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if (err) return self.emit('error', err);
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self.emit('data', mat);
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if (!self.paused) process.nextTick(frame);
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})
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}
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frame();
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}
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videostream.pause = function(){
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this.paused = true
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VideoStream.prototype.pause = function(){
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this.paused = true;
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}
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videostream.resume = function(){
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this.paused = false
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this.read()
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VideoStream.prototype.resume = function(){
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this.paused = false;
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this.read();
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}
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VideoCapture.prototype.toStream = function(){
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return new VideoStream(this);
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}
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// Provide cascade data for faces etc.
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cv.FACE_CASCADE = path.resolve(__dirname, '../data/haarcascade_frontalface_alt.xml')
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