opencv
Version:
Node Bindings to OpenCV
592 lines (482 loc) • 16.7 kB
JavaScript
var fs = require('fs')
, test = require('tape')
, cv = null
test("Smoke tests / Can Import", function(t){
cv = require('../lib/opencv')
t.ok(cv, "imported fine")
t.ok(cv.version, "version is there:" + cv.version)
t.ok(cv.Point, "point is there")
t.ok(cv.Matrix, "matrix is there")
t.end()
})
test('importing library multiple times is ok', function(t){
var cv1 = require('../lib/opencv')
, cv2 = require('../lib/opencv')
cv1.readImage('./examples/files/mona.png', function(err, im){
t.error(err)
cv2.readImage('./examples/files/mona.png', function(err, im){
t.error(err)
t.end();
});
});
})
test('Point', function(t){
t.ok(new cv.Point(1, 2))
t.throws(function () { cv.Point(1, 2)}, TypeError, "cannot call without new")
t.equal(new cv.Point(1, 2).x, 1)
t.equal(new cv.Point(1, 2).y, 2)
t.equal(Math.round(new cv.Point(1.1, 2).x * 100), 110)
t.equal(Math.round(new cv.Point(1.2, 2.75).y *100), 275)
t.throws(function () {new cv.Point(1.1, 2).x = 5}, Error, "Points are immutable")
t.throws(function () {new cv.Point(1.1, 2).y = 5}, Error, "Points are immutable")
var p1 = new cv.Point(3, 6)
, p2 = new cv.Point(5, 7)
t.ok(p1.dot);
t.equal(p1.dot(p2), 57);
t.end()
})
test('Matrix constructor', function(assert){
assert.ok(cv.Matrix);
assert.ok(new cv.Matrix);
assert.ok(new cv.Matrix(1, 2));
assert.ok(new cv.Matrix(1, 2, cv.Constants.CV_8U));
assert.ok(new cv.Matrix(1, 2, cv.Constants.CV_8U, [1]));
assert.end()
})
test('Matrix accessors', function(assert){
var mat = new cv.Matrix(1, 2);
mat.set(0,0,3);
mat.set(0,1,5000);
assert.deepEqual(mat.row(0), [3,5000]);
mat = new cv.Matrix(1,2);
assert.equal(mat.set(0,0,3), undefined);
assert.equal(mat.get(0,0), 3);
mat = new cv.Matrix(6,7);
assert.equal(mat.width(), 7);
mat = new cv.Matrix(6,7);
assert.equal(mat.height(), 6);
mat = new cv.Matrix(6,7);
assert.deepEqual(mat.size(), [6, 7]);
mat = new cv.Matrix(6,7);
assert.equal(mat.width(), 7);
mat.resize(8,9);
assert.equal(mat.width(), 8);
mat = new cv.Matrix.Eye(4,4)
assert.deepEqual(mat.row(1), [0,1,0,0])
assert.deepEqual(mat.row(2), [0,0,1,0])
mat = new cv.Matrix.Eye(4,4);
assert.deepEqual(mat.col(1), [0,1,0,0])
assert.deepEqual(mat.col(2), [0,0,1,0])
assert.equal(new cv.Matrix().empty(), true);
mat = new cv.Matrix(1, 2, cv.Constants.CV_8UC3, [1, 2, 3]);
assert.deepEqual(mat.pixelRow(0), [1, 2, 3, 1, 2, 3]);
assert.end()
})
test('Matrix functions', function(assert) {
// convertTo
var mat = new cv.Matrix(75, 75, cv.Constants.CV_32F, [2.0]);
var matNew = new cv.Matrix(75, 75, cv.Constants.CV_8U);
var alpha = 2;
var beta = 1;
mat.convertTo(matNew, cv.Constants.CV_8U, alpha, beta);
assert.equal(matNew.pixel(0, 0), mat.get(0, 0)*alpha + beta);
// reshape
mat = new cv.Matrix(75, 75, cv.Constants.CV_8UC1);
matNew = mat.reshape(1, 1);
assert.equal(matNew.height(), 1);
assert.equal(matNew.width(), 5625);
// GetRotationMatrix2D
mat = cv.Matrix.getRotationMatrix2D(0, 0, 90, 1.0);
assert.deepEqual(mat.size(), [2,3], 'GetRotationMatrix2D');
assert.end();
})
test(".norm", function(assert){
cv.readImage("./examples/files/coin1.jpg", function(err, im) {
cv.readImage("./examples/files/coin2.jpg", function(err, im2){
assert.ok(im);
assert.ok(im2);
var errorL2 = im.norm(im2, cv.Constants.NORM_L2);
assert.equal(errorL2, 7295.591339980605);
errorL2 = im.norm(im, cv.Constants.NORM_L2);
assert.equal(errorL2, 0);
assert.end();
});
});
})
test("Matrix toBuffer", function(assert){
var buf = fs.readFileSync('./examples/files/mona.png')
cv.readImage(buf.slice(0), function(err, mat){
var buf0 = mat.toBuffer()
assert.ok(buf0);
assert.end()
})
})
test("Matrix toBuffer Async", function(assert){
var buf = fs.readFileSync('./examples/files/mona.png')
cv.readImage(buf.slice(0), function(err, mat){
mat.toBuffer(function(err, buff){
assert.error(err)
assert.ok(buf)
assert.ok(buf.length > 100)
assert.end()
})
})
})
test("detectObject", function(assert){
cv.readImage("./examples/files/mona.png", function(err, im){
im.detectObject(cv.FACE_CASCADE, {}, function(err, faces){
assert.error(err)
assert.ok(faces)
assert.equal(faces.length, 1)
assert.end()
})
})
})
test(".absDiff and .countNonZero", function(assert){
cv.readImage("./examples/files/mona.png", function(err, im) {
cv.readImage("./examples/files/mona.png", function(err, im2){
assert.ok(im);
assert.ok(im2);
var diff = new cv.Matrix(im.width(), im.height());
diff.absDiff(im, im2);
diff.convertGrayscale();
assert.equal(diff.countNonZero(), 0);
assert.end()
});
});
})
test(".bitwiseXor", function(assert){
var mat1 = new cv.Matrix(1,1);
mat1.set(0,0, 1);
var mat2 = new cv.Matrix(1,1);
mat2.set(0,0, 1);
var xored = new cv.Matrix(1,1);
xored.bitwiseXor(mat1, mat2);
assert.equal(xored.get(0,0), 0);
assert.end()
})
test("Image read from file", function(assert){
cv.readImage("./examples/files/opencv.png", function(err, im){
assert.ok(im);
assert.equal(im.width(), 82);
assert.equal(im.height(), 99);
assert.equal(im.channels(), 4);
assert.equal(im.empty(), false);
assert.end();
})
})
test("Multi-page image read from file", function(assert){
if (parseInt(cv.version) >= 3) {
cv.readImageMulti("./examples/files/multipage.tif", function(err, imgs){
assert.ok(imgs);
assert.equal(imgs.length, 10);
for (var i = 0; i < imgs.length; i++) {
assert.ok(imgs[i]);
assert.equal(imgs[i].width(), 800);
assert.equal(imgs[i].height(), 600);
assert.equal(imgs[i].channels(), 3);
assert.equal(imgs[i].empty(), false);
}
assert.end();
})
} else {
assert.equal(cv.readImageMulti("./examples/files/multipage.tif"), false);
assert.end();
}
})
test("Distance transform", function(assert){
cv.readImage("./examples/files/distanceTransform.png", function(err, img){
assert.ok(img);
// 50px image with single black pixel on right side
var result = cv.imgproc.distanceTransform(img, cv.Constants.CV_DIST_L2, cv.Constants.CV_DIST_MASK_PRECISE);
assert.equal(result.get(0,0), 49);
assert.end();
})
})
test("read Image from buffer", function(assert){
cv.readImage(fs.readFileSync('./examples/files/opencv.png'), function(err, im){
assert.ok(im);
assert.equal(im.width(), 82);
assert.equal(im.height(), 99);
assert.equal(im.channels(), 4);
assert.equal(im.empty(), false);
assert.end();
})
})
test("Cascade Classifier", function(assert){
assert.ok(new cv.CascadeClassifier("./data/haarcascade_frontalface_alt.xml"), 'test constructor')
cv.readImage("./examples/files/mona.png", function(err, im){
cascade = new cv.CascadeClassifier("./data/haarcascade_frontalface_alt.xml");
cascade.detectMultiScale(im, function(err, faces){//, 1.1, 2, [30, 30]);
assert.error(err);
assert.equal(typeof faces, typeof []);
assert.equal(faces.length, 1)
assert.end()
})
})
})
test("ImageDataStream", function(assert){
var s = new cv.ImageDataStream()
s.on('load', function(im){
assert.ok(im)
assert.equal(im.empty(), false);
assert.end()
})
fs.createReadStream('./examples/files/mona.png').pipe(s);
})
test("ImageStream", function(assert){
var s = new cv.ImageStream()
, im = fs.readFileSync('./examples/files/mona.png')
s.on('data', function(mat){
assert.deepEqual(mat.size(), [756,500])
assert.end()
})
s.write(im);
})
test("CamShift", function(assert){
cv.readImage('./examples/files/coin1.jpg', function(e, im){
cv.readImage('./examples/files/coin2.jpg', function(e, im2){
var tracked = new cv.TrackedObject(im, [420, 110, 490, 170], {channel: 'v'});
assert.ok(tracked);
var res = tracked.track(im2)
assert.ok(res);
assert.ok(res[0] < 396)
assert.ok(res[0] > 376)
assert.ok(res[1] < 122)
assert.ok(res[1] > 102)
assert.ok(res[2] < 469)
assert.ok(res[2] > 449)
assert.ok(res[3] < 176)
assert.ok(res[3] > 156)
assert.end()
})
})
})
test("fonts", function(t) {
function rnd() {
return Math.round(Math.random() * 255);
};
cv.readImage("./examples/files/coin1.jpg", function(e, im){
var y = 0;
var scale = 1;
([
"HERSEY_SIMPLEX",
"HERSEY_PLAIN",
"HERSEY_DUPLEX",
"HERSEY_COMPLEX",
"HERSEY_TRIPLEX",
"HERSEY_COMPLEX_SMALL",
"HERSEY_SCRIPT_SIMPLEX",
"HERSEY_SCRIPT_COMPLEX",
"HERSEY_SCRIPT_SIMPLEX"
]).forEach(function(font) {
im.putText("Some text", 0, y += 20, font, [rnd(), rnd(), rnd()], 2, scale++);
});
t.ok(im, "image is ok");
im.save("./examples/tmp/coin1-with-text.jpg");
t.end();
});
})
test('LDA Wrap', function(assert) {
if (cv.LDA === undefined) {
console.log('TODO: Please port LDAWrap.cc to OpenCV 3')
assert.end();
return;
}
// subspaceProject
var mat = cv.LDA.subspaceProject(new cv.Matrix(1, 2, cv.Constants.CV_64F), new cv.Matrix(), new cv.Matrix(2, 1, cv.Constants.CV_8UC1));
assert.deepEqual(mat.size(), [2,2], 'subspaceProject');
// subspaceReconstruct
mat = cv.LDA.subspaceReconstruct(new cv.Matrix(1, 2, cv.Constants.CV_64F), new cv.Matrix(), new cv.Matrix(1, 2, cv.Constants.CV_8UC1));
assert.deepEqual(mat.size(), [1,1], 'subspaceReconstruct');
assert.end();
})
test('Native Matrix', function(assert) {
var nativemat = require('../build/' + (!!process.env.NODE_OPENCV_DEBUG ? 'Debug' : 'Release') + '/test_nativemat.node');
var mat = new cv.Matrix(42, 8);
assert.deepEqual(mat.size(), nativemat.size(mat), 'nativemat');
assert.end();
})
test('Subtract', function(assert) {
var a = new cv.Matrix.Zeros(1,1);
a.set(0, 0, 3);
var b = new cv.Matrix.Zeros(1,1);
b.set(0, 0, 1);
a.subtract(b);
assert.deepEqual(a.get(0, 0), 2);
assert.end();
});
test('Mean', function(assert) {
var a = new cv.Matrix.Zeros(2, 2, cv.Constants.CV_8UC3);
// Set [0, 0] element to 1 for all three channels
a.set(0, 0, 1, 0);
a.set(0, 0, 1, 1);
a.set(0, 0, 1, 2);
var means = a.mean();
assert.deepEqual(means, [0.25, 0.25, 0.25, 0]);
assert.end();
});
test('Compare', function(assert) {
var a = cv.Matrix.fromArray([[[0],[-20]],[[2],[-18]]], cv.Constants.CV_8SC1);
var b = cv.Matrix.fromArray([[[3],[-20]],[[0],[-16]]], cv.Constants.CV_8SC1);
var compare1 = a.compare(b, cv.Constants.CMP_EQ);
var compare2 = a.compare(b, cv.Constants.CMP_GT);
var compare3 = a.compare(b, cv.Constants.CMP_LE);
assert.deepEqual(compare1.toArray(), [[[0],[255]],[[0],[0]]]);
assert.deepEqual(compare2.toArray(), [[[0],[0]],[[255],[0]]]);
assert.deepEqual(compare3.toArray(), [[[255],[255]],[[0],[255]]]);
assert.end();
});
test('MatchTemplateByMatrix', function(assert) {
var cv = require('../lib/opencv');
var targetFilename = "./examples/files/car1.jpg";
var templateFilename = "./examples/files/car1_template.jpg";
cv.readImage(targetFilename, function(err, target){
cv.readImage(templateFilename, function(err, template){
var TM_CCORR_NORMED = 3;
var res = target.matchTemplateByMatrix(template, TM_CCORR_NORMED);
var minMax = res.minMaxLoc();
var topLeft = minMax.maxLoc;
assert.ok(topLeft, "RGB Found Match");
assert.equal(topLeft.x, 42, "match location x === 42");
assert.equal(topLeft.y, 263, "match location y === 263");
target.canny(5,300);
template.canny(5,300);
res = target.matchTemplateByMatrix(template, TM_CCORR_NORMED);
minMax = res.minMaxLoc();
topLeft = minMax.maxLoc;
assert.ok(topLeft, "Canny edge Found Match");
assert.equal(topLeft.x, 42, "match location x === 42");
assert.equal(topLeft.y, 263, "match location y === 263");
assert.end();
});
})
});
test('setColor works will alpha channels', function(assert) {
var cv = require('../lib/opencv');
var mat = new cv.Matrix(100, 100, cv.Constants.CV_8UC4);
var SQUARE = [ 50, 50 ];
mat.rectangle([ 0, 0 ], SQUARE, [ 0, 187, 255, 255 ], -1);
mat.rectangle([ 0, 50 ], SQUARE, [ 0, 187, 124, 200 ], -1);
mat.rectangle([ 50, 0 ], SQUARE, [ 241, 161, 0, 128 ], -1);
mat.rectangle([ 50, 50 ], SQUARE, [ 20, 83, 246, 70 ], -1);
cv.readImage('./examples/files/alpha-test.png', function(err, imgMat) {
if (!err) {
var diff = new cv.Matrix();
diff.absDiff(mat, imgMat);
// We'll verify that each channel is 0
var channels = diff.split();
for (var i = 0; i < 4; i++) {
assert.equal(channels[i].countNonZero(), 0);
}
} else {
throw err;
}
assert.end();
});
});
test('getPixel',function(assert){
cv.readImage('./examples/files/alpha-test.png', function(err, imgMat) {
if (!err) {
assert.equal(imgMat.channels(),4);
assert.deepEqual(imgMat.getPixel(10,10),[0,187,255,255]);
assert.deepEqual(imgMat.getPixel(30,80),[241,161,0,128]);
assert.deepEqual(imgMat.getPixel(80,30),[0,187,124,200]);
assert.deepEqual(imgMat.getPixel(80,80),[20,83,246,70]);
var channels = imgMat.split();
imgMat.merge([channels[0],channels[1],channels[2]]);
assert.equal(imgMat.channels(),3);
assert.deepEqual(imgMat.getPixel(10,10),[0,187,255]);
assert.deepEqual(imgMat.getPixel(30,80),[241,161,0]);
assert.deepEqual(imgMat.getPixel(80,30),[0,187,124]);
assert.deepEqual(imgMat.getPixel(80,80),[20,83,246]);
imgMat.merge([channels[3]]);
assert.equal(imgMat.channels(),1);
assert.deepEqual(imgMat.getPixel(0,0),255);
assert.deepEqual(imgMat.getPixel(30,80),128);
assert.deepEqual(imgMat.getPixel(80,30),200);
assert.deepEqual(imgMat.getPixel(80,80),70);
} else {
throw err;
}
assert.end();
});
});
test('pixelRow pixelCol 4 channel image ',function(assert){
cv.readImage('./examples/files/alpha-small.png', function(err, imgMat) {
if (!err) {
assert.equal(imgMat.channels(),4);
assert.deepEqual(imgMat.pixelCol(0),
[ 0, 0, 0, 255,
0, 255, 0, 88,
0, 0, 0, 88 ]);
assert.deepEqual(imgMat.pixelCol(1),
[ 255, 255, 255, 255,
0, 0, 255, 88,
255, 255, 255, 88 ]);
assert.deepEqual(imgMat.pixelRow(0),
[ 0, 0, 0, 255,
255, 255, 255, 255,
0, 255, 0, 255,
255, 0, 0, 255,
0, 0, 255, 255,
229, 194, 201, 155 ]);
assert.deepEqual(imgMat.pixelRow(1),
[ 0, 255, 0, 88,
0, 0, 255, 88,
255, 0, 0, 88,
47, 40, 42, 155,
145, 66, 125, 227,
47, 100, 163, 72 ]);
} else {
throw err;
}
assert.end();
});
});
test('toArray/fromArray working in both ways', function(assert) {
var cv = require('../lib/opencv');
cv.readImage("./examples/files/mona.png", function(err, orig) {
if (err) throw err;
var a = orig.toArray();
var type = orig.type();
var doubleConversion = cv.Matrix.fromArray(a, type).toArray();
var randomI = Math.floor(Math.random()*a.length)
var randomJ = Math.floor(Math.random()*a[randomI].length)
var randomK = Math.floor(Math.random()*a[randomI][randomJ].length)
assert.equal(a[randomI][randomJ][randomK], doubleConversion[randomI][randomJ][randomK]);
assert.end();
});
});
test('floodFill optional returned bounding rect', function(assert) {
var cv = require('../lib/opencv');
var solidImage = new cv.Matrix(
10, 15, // Create 15px wide by 10px tall image
cv.Constants.CV_8U);
// Define output rect
var rect = [
[0, 0], // x, y
[0, 0] // width, height
];
// Set all pixels to black/0
for (var y=0; y<solidImage.height(); y++) {
for (var x=0; x<solidImage.width(); x++) {
solidImage.pixel(y, x, [0]);
}
}
// Fill entire image
solidImage.floodFill({
seedPoint: [3, 2], // x=2, y=3
newColor: [128],
rect,
loDiff: 0,
upDiff: 0
});
assert.equal(rect[0][0], 0); // Expect fill to go all the way to left edge
assert.equal(rect[0][1], 0); // Expect fill to go all the way to top edge
assert.equal(rect[1][0], 15); // Expect fill to create 15px-wide bounding rect
assert.equal(rect[1][1], 10); // Expect fill to create 10px-tall bounding rect
assert.end();
});
// Test the examples folder.
require('./examples')()