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Peter Braden 2012-01-27 11:43:38 -08:00
parent bc91847c78
commit 1f41b20438
5 changed files with 6 additions and 6 deletions
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2
README.md
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@ -27,7 +27,7 @@ Or to build the repo:
cv.readImage("./examples/test.jpg", function(err, im){
im.detectObject("./examples/haarcascade_frontalface_alt.xml", {}, function(err, faces){
im.detectObject("./data/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);

0
examples/haarcascade_frontalface_alt.xml → data/haarcascade_frontalface_alt.xml
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2
examples/face-proxy.js
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@ -7,7 +7,7 @@ Face recognition proxy
var http = require('http')
, request = require('request')
, cv = require('../lib/opencv')
, face_cascade = new cv.CascadeClassifier("./examples/haarcascade_frontalface_alt.xml")
, face_cascade = new cv.CascadeClassifier("./data/haarcascade_frontalface_alt.xml")

2
smoketest.js
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@ -6,7 +6,7 @@ var cv = require('./lib/opencv')
cv.readImage("./examples/mona.jpg", function(err, im){
im.detectObject("./examples/haarcascade_frontalface_alt.xml", {}, function(err, faces){
im.detectObject("./data/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);

6
test/smoke.js
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@ -128,7 +128,7 @@ vows.describe('Smoke Tests OpenCV').addBatch({
, cb = this.callback
cv.readImage("./examples/mona.jpg", function(err, im){
im.detectObject("./examples/haarcascade_frontalface_alt.xml", {}, cb)
im.detectObject("./data/haarcascade_frontalface_alt.xml", {}, cb)
})
}
@ -173,7 +173,7 @@ vows.describe('Smoke Tests OpenCV').addBatch({
topic : require('../lib/opencv')
, "constructor" : function(cv){
assert.ok(new cv.CascadeClassifier("./examples/haarcascade_frontalface_alt.xml"))
assert.ok(new cv.CascadeClassifier("./data/haarcascade_frontalface_alt.xml"))
}
, "face detection": {
@ -182,7 +182,7 @@ vows.describe('Smoke Tests OpenCV').addBatch({
, self = this
cv.readImage("./examples/mona.jpg", function(err, im){
cascade = new cv.CascadeClassifier("./examples/haarcascade_frontalface_alt.xml");
cascade = new cv.CascadeClassifier("./data/haarcascade_frontalface_alt.xml");
cascade.detectMultiScale(im, self.callback)//, 1.1, 2, [30, 30]);
})