sharp/test/unit/convolve.js
Lovell Fuller 8717ecc429 Modularise JS source in 'lib' subdirectory.
Generate public API documention via jsdoc comments.
2016-11-02 09:25:20 +00:00

92 lines
2.5 KiB
JavaScript

'use strict';
const assert = require('assert');
const sharp = require('../../');
const fixtures = require('../fixtures');
describe('Convolve', function () {
it('specific convolution kernel 1', function (done) {
sharp(fixtures.inputPngStripesV)
.convolve({
width: 3,
height: 3,
scale: 50,
offset: 0,
kernel: [ 10, 20, 10,
0, 0, 0,
10, 20, 10 ]
})
.toBuffer(function (err, data, info) {
if (err) throw err;
assert.strictEqual('png', info.format);
assert.strictEqual(320, info.width);
assert.strictEqual(240, info.height);
fixtures.assertSimilar(fixtures.expected('conv-1.png'), data, done);
});
});
it('specific convolution kernel 2', function (done) {
sharp(fixtures.inputPngStripesH)
.convolve({
width: 3,
height: 3,
kernel: [ 1, 0, 1,
2, 0, 2,
1, 0, 1 ]
})
.toBuffer(function (err, data, info) {
if (err) throw err;
assert.strictEqual('png', info.format);
assert.strictEqual(320, info.width);
assert.strictEqual(240, info.height);
fixtures.assertSimilar(fixtures.expected('conv-2.png'), data, done);
});
});
it('horizontal Sobel operator', function (done) {
sharp(fixtures.inputJpg)
.resize(320, 240)
.convolve({
width: 3,
height: 3,
kernel: [ -1, 0, 1,
-2, 0, 2,
-1, 0, 1 ]
})
.toBuffer(function (err, data, info) {
if (err) throw err;
assert.strictEqual('jpeg', info.format);
assert.strictEqual(320, info.width);
assert.strictEqual(240, info.height);
fixtures.assertSimilar(fixtures.expected('conv-sobel-horizontal.jpg'), data, done);
});
});
describe('invalid kernel specification', function () {
it('missing', function () {
assert.throws(function () {
sharp(fixtures.inputJpg).convolve({});
});
});
it('incorrect data format', function () {
assert.throws(function () {
sharp(fixtures.inputJpg).convolve({
width: 3,
height: 3,
kernel: [[1, 2, 3], [4, 5, 6], [7, 8, 9]]
});
});
});
it('incorrect dimensions', function () {
assert.throws(function () {
sharp(fixtures.inputJpg).convolve({
width: 3,
height: 4,
kernel: [1, 2, 3, 4, 5, 6, 7, 8, 9]
});
});
});
});
});