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https://github.com/publiclab/image-sequencer.git
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b0096a13f4
* add gpu.js 2.0.0-rc.7 * add gpuUtils * add gpuUtil convolve * add convolution to edgeDetect * bench it * bench change * newline * pipeline * revert edge-detect * gpu accelerate gaussian blur * edgeDetect use blur * tweak values * remove ndarray-gaussian-filter * audit * turn on previews * remove oldPix * fix travis * Travis fix * Try fixing travis * Fix * Retry * tweaks * convolution module on GPU * use babelify * trial * remove logs * Update .travis.yml * Update .travis.yml * bump version * bump to rc.9 * rc.10 * rc.11 * Update package.json * convolution fix * unit test gpuUtils * tests changed, fixed * new fix * more obvious parseFloat * remove old commented code
96 lines
2.1 KiB
JavaScript
96 lines
2.1 KiB
JavaScript
const test = require('tape');
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const { convolve, compute } = require('../../../src/modules/_nomodule/gpuUtils')
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test('convolve works with 1x1 array', t => {
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const array = [[1]],
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kernel = [
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[1, 1, 1],
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[1, 1, 1],
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[1, 1, 1]
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],
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expectedOut = [
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[9]
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]
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const out = convolve([array], kernel);
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t.equal(out.length, 1, 'convolve returns a single output array')
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t.equal(out[0][0].length, 1, 'ouput array width is correct')
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t.equal(out[0].length, 1, 'ouput array height is correct')
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t.deepEqual(out[0], expectedOut, 'convolve outputs correct array')
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t.end()
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})
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test('convolve works with 3x4 array', t => {
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const array = [
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[1, 2, 3],
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[1, 2, 4],
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[1, 3, 3],
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[1, 2, 3]
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],
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kernel = [
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[1, 1, 1],
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[1, 1, 1],
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[1, 1, 1]
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],
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expectedOut = [
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[12, 19, 26],
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[13, 20, 27],
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[13, 20, 27],
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[13, 19, 25]
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]
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const out = convolve([array], kernel);
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t.equal(out.length, 1, 'convolve returns a single output array')
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t.equal(out[0][0].length, 3, 'ouput array width is correct')
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t.equal(out[0].length, 4, 'ouput array height is correct')
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t.deepEqual(out[0], expectedOut, 'convolve outputs correct array')
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t.end()
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})
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test('convolve works with multiple 3x4 arrays', t => {
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const array1 = [
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[1, 2, 3],
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[1, 2, 4],
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[1, 3, 3],
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[1, 2, 3]
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],
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array2 = [
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[1, 2, 4],
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[2, 2, 1],
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[1, 0, 0],
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[2, 3, 1]
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],
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kernel = [
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[1, 1, 1],
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[1, 1, 1],
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[1, 1, 1]
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],
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expectedOut1 = [
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[12, 19, 26],
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[13, 20, 27],
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[13, 20, 27],
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[13, 19, 25]
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],
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expectedOut2 = [
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[14, 19, 24],
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[12, 13, 14],
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[15, 12, 9],
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[16, 13, 10]
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]
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const out = convolve([array1, array2], kernel);
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t.equal(out.length, 2, 'convolve returns 2 output array')
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t.equal(out[0][0].length, 3, 'ouput array1 width is correct')
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t.equal(out[0].length, 4, 'ouput array1 height is correct')
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t.equal(out[1][0].length, 3, 'ouput array2 width is correct')
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t.equal(out[1].length, 4, 'ouput array2 height is correct')
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t.deepEqual(out[0], expectedOut1, 'convolve outputs correct array1')
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t.deepEqual(out[1], expectedOut2, 'convolve outputs correct array2')
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t.end()
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}) |