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// Face recognition proxy
var http = require('http'),
request = require('request'),
cv = require('../lib/opencv');
var server = http.createServer(function(req, resp){
var url = req.url.slice(1);
request({uri:url, encoding:'binary'}, function(err, r, body){
if (err) return resp.end(err.stack);
if (!/image\//.test(r.headers['content-type'])) return resp.end('Not an image');
cv.readImage(new Buffer(body, 'binary'), function(err, im){
if (err) return resp.end(err.stack);
if (im.width() < 1 || im.height() < 1) return resp.end('Image has no size');
im.detectObject('../data/haarcascade_frontalface_alt.xml', {}, function(err, faces) {
if (err) return resp.end(err.stack);
for (var i = 0; i < faces.length; i++){
var face = faces[i];
im.ellipse(face.x + face.width / 2, face.y + face.height / 2, face.width / 2, face.height / 2);
}
resp.writeHead(200, {'Content-Type': 'image/jpeg'});
resp.end(im.toBuffer());
});
});
});
})
//server.listen(3000, function(){ console.log('Listening on http://localhost:3000'); })
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