opencv/modules/js/perf/perf_imgproc/perf_blur.js
Kun Liang c82417697a
Merge pull request #18068 from lionkunonly:gsoc_2020_simd
[GSoC] OpenCV.js: WASM SIMD optimization 2.0

* gsoc_2020_simd Add perf test for filter2d

* add perf test for kernel scharr and kernel gaussianBlur

* add perf test for blur, medianBlur, erode, dilate

* fix the errors for the opencv PR robot

fix the trailing whitespace.

* add perf tests for kernel remap, warpAffine, warpPersepective, pyrDown

* fix a bug in  modules/js/perf/perf_imgproc/perf_remap.js

* add function smoothBorder in helpfun.js and remove replicated function in perf test of warpAffine and warpPrespective

* fix the trailing white space issues

* add OpenCV.js loader

* Implement the Loader with help of WebAssembly Feature Detection, remove trailing whitespaces

* modify the explantion for loader in js_setup.markdown and fix bug in loader.js
2020-10-18 20:30:36 +00:00

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const isNodeJs = (typeof window) === 'undefined'? true : false;
if (isNodeJs) {
var Benchmark = require('benchmark');
var cv = require('../../opencv');
var HelpFunc = require('../perf_helpfunc');
var Base = require('../base');
} else {
var paramsElement = document.getElementById('params');
var runButton = document.getElementById('runButton');
var logElement = document.getElementById('log');
}
function perf() {
console.log('opencv.js loaded');
if (isNodeJs) {
global.cv = cv;
global.combine = HelpFunc.combine;
global.cvtStr2cvSize = HelpFunc.cvtStr2cvSize;
global.cvSize = Base.getCvSize();
} else {
enableButton();
cvSize = getCvSize();
}
let totalCaseNum, currentCaseId;
const BlurSize = [cvSize.szODD, cvSize.szQVGA, cvSize.szVGA, cvSize.sz720p];
const Blur5x16Size = [cvSize.szVGA, cvSize.sz720p];
const BlurType = ["CV_8UC1", "CV_8UC4", "CV_16UC1", "CV_16SC1", "CV_32FC1"];
const BlurType5x5 = ["CV_8UC1", "CV_8UC4", "CV_16UC1", "CV_16SC1", "CV_32FC1", "CV_32FC3"];
const BorderType3x3 = ["BORDER_REPLICATE", "BORDER_CONSTANT"];
const BorderTypeAll = ["BORDER_REPLICATE", "BORDER_CONSTANT", "BORDER_REFLECT", "BORDER_REFLECT101"];
const combiBlur3x3 = combine(BlurSize, BlurType, BorderType3x3);
const combiBlur16x16 = combine(Blur5x16Size, BlurType, BorderTypeAll);
const combiBlur5x5 = combine(Blur5x16Size, BlurType5x5, BorderTypeAll);
function addBlurCase(suite, type) {
suite.add('blur', function() {
cv.blur(src, dst, ksize, new cv.Point(-1,-1), borderType);
}, {
'setup': function() {
let size = this.params.size;
let matType = cv[this.params.matType];
let borderType = cv[this.params.borderType];
let ksizeNum = this.params.ksize;
let ksize = new cv.Size(ksizeNum, ksizeNum);
let src = new cv.Mat(size, matType);
let dst = new cv.Mat(size, matType);
},
'teardown': function() {
src.delete();
dst.delete();
}
});
}
function addBlurModeCase(suite, combination, type) {
totalCaseNum += combination.length;
for (let i = 0; i < combination.length; ++i) {
let size = combination[i][0];
let matType = combination[i][1];
let borderType = combination[i][2];
let ksizeArray = [3, 16, 5];
let params = {size: size, matType:matType, ksize: ksizeArray[type], borderType:borderType};
addKernelCase(suite, params, type, addBlurCase);
}
}
function genBenchmarkCase(paramsContent) {
let suite = new Benchmark.Suite;
totalCaseNum = 0;
currentCaseId = 0;
if (/\([0-9]+x[0-9]+,[\ ]*CV\_\w+,[\ ]*BORDER\_\w+\)/g.test(paramsContent.toString())) {
let params = paramsContent.toString().match(/\([0-9]+x[0-9]+,[\ ]*CV\_\w+,[\ ]*BORDER\_\w+\)/g)[0];
let paramObjs = [];
paramObjs.push({name:"size", value:"", reg:[""], index:0});
paramObjs.push({name:"matType", value:"", reg:["/CV\_[0-9]+[FSUfsu]C[0-9]/"], index:1});
paramObjs.push({name:"borderMode", value: "", reg:["/BORDER\_\\w+/"], index:2});
let locationList = decodeParams2Case(params, paramObjs,blurCombinations);
for (let i = 0; i < locationList.length; i++){
let first = locationList[i][0];
let second = locationList[i][1];
addBlurModeCase(suite, [blurCombinations[first][second]], first);
}
} else {
log("no filter or getting invalid params, run all the cases");
addBlurModeCase(suite, combiBlur3x3, 0);
addBlurModeCase(suite, combiBlur16x16, 1);
addBlurModeCase(suite, combiBlur5x5, 2);
}
setBenchmarkSuite(suite, "blur", currentCaseId);
log(`Running ${totalCaseNum} tests from blur`);
suite.run({ 'async': true }); // run the benchmark
}
let blurCombinations = [combiBlur3x3, combiBlur16x16, combiBlur5x5];
if (isNodeJs) {
const args = process.argv.slice(2);
let paramsContent = '';
if (/--test_param_filter=\([0-9]+x[0-9]+,[\ ]*CV\_\w+,[\ ]*BORDER\_\w+\)/g.test(args.toString())) {
paramsContent = args.toString().match(/\([0-9]+x[0-9]+,[\ ]*CV\_\w+,[\ ]*BORDER\_\w+\)/g)[0];
}
genBenchmarkCase(paramsContent);
} else {
runButton.onclick = function() {
let paramsContent = paramsElement.value;
genBenchmarkCase(paramsContent);
if (totalCaseNum !== 0) {
disableButton();
}
}
}
};
async function main() {
if (cv instanceof Promise) {
cv = await cv;
perf();
} else {
cv.onRuntimeInitialized = perf;
}
}
main();