opencv/modules/js/perf/perf_imgproc/perf_threshold.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 typicalMatSizes = [cvSize.szVGA, cvSize.sz720p, cvSize.sz1080p, cvSize.szODD];
const matTypes = ['CV_8UC1', 'CV_16SC1', 'CV_32FC1', 'CV_64FC1'];
const threshTypes = ['THRESH_BINARY', 'THRESH_BINARY_INV', 'THRESH_TRUNC', 'THRESH_TOZERO', 'THRESH_TOZERO_INV'];
const combiSizeMatTypeThreshType = combine(typicalMatSizes, matTypes, threshTypes);
const combiSizeOnly = combine(typicalMatSizes, ['CV_8UC1'], ['THRESH_BINARY|THRESH_OTSU']);
function addThresholdCase(suite, type) {
suite.add('threshold', function() {
if (type == "sizeonly") {
cv.threshold(src, dst, threshold, thresholdMax, cv.THRESH_BINARY|cv.THRESH_OTSU);
} else {
cv.threshold(src, dst, threshold, thresholdMax, threshType);
}
}, {
'setup': function() {
let matSize = this.params.matSize;
let type = this.params.modeType;
let src, dst, matType, threshType;
if (type == "sizeonly") {
src = new cv.Mat(matSize, cv.CV_8UC1);
dst = new cv.Mat(matSize, cv.CV_8UC1);
} else {
matType = cv[this.params.matType];
threshType = cv[this.params.threshType];
src = new cv.Mat(matSize, matType);
dst = new cv.Mat(matSize, matType);
}
let threshold = 127.0;
let thresholdMax = 210.0;
let srcView = src.data;
srcView[0] = 0;
srcView[1] = 100;
srcView[2] = 200;
},
'teardown': function() {
src.delete();
dst.delete();
}
});
}
function addThresholdModecase(suite, combination, type) {
totalCaseNum += combination.length;
for (let i = 0; i < combination.length; ++i) {
let matSize = combination[i][0];
let matType = 'CV_8UC1';
let threshType = 'THRESH_BINARY|THRESH_OTSU';
if (type != "sizeonly") {
matType = combination[i][1];
threshType = combination[i][2];
}
let params = {matSize: matSize, matType: matType, threshType: threshType, modeType: type};
addKernelCase(suite, params, type, addThresholdCase);
}
}
function genBenchmarkCase(paramsContent) {
let suite = new Benchmark.Suite;
totalCaseNum = 0;
currentCaseId = 0;
let params = "";
let paramObjs = [];
paramObjs.push({name:"size", value:"", reg:[""], index:0});
if (/\([0-9]+x[0-9]+,[\ ]*CV\_\w+,[\ ]*THRESH\_\w+\)/g.test(paramsContent.toString())) {
params = paramsContent.toString().match(/\([0-9]+x[0-9]+,[\ ]*CV\_\w+,[\ ]*THRESH\_\w+\)/g)[0];
paramObjs.push({name:"matType", value:"", reg:["/CV\_[0-9]+[A-z][A-z][0-9]/"], index:1});
paramObjs.push({name:"threshType", value:"", reg:["/THRESH\_[A-z]+\_?[A-z]*/"], index:2});
} else if (/[\ ]*[0-9]+x[0-9]+[\ ]*/g.test(paramsContent.toString())) {
params = paramsContent.toString().match(/[\ ]*[0-9]+x[0-9]+[\ ]*/g)[0];
paramObjs.push({name:"matType", value:"CV_8UC1", reg:[""], index:1});
paramObjs.push({name:"threshType", value:"THRESH_BINARY|THRESH_OTSU", reg:[""], index:2});
}
if(params != ""){
let locationList = decodeParams2Case(params, paramObjs,combinations);
for (let i = 0; i < locationList.length; i++){
let first = locationList[i][0];
let second = locationList[i][1];
if (first == 0) {
addThresholdModecase(suite, [combinations[first][second]], "normal");
} else {
addThresholdModecase(suite, [combinations[first][second]], "sizeonly");
}
}
} else {
log("no filter or getting invalid params, run all the cases");
addThresholdModecase(suite, combiSizeMatTypeThreshType, "normal");
addThresholdModecase(suite, combiSizeOnly, "sizeonly");
}
setBenchmarkSuite(suite, "threshold", currentCaseId);
log(`Running ${totalCaseNum} tests from Threshold`);
suite.run({ 'async': true }); // run the benchmark
}
// init
let combinations = [combiSizeMatTypeThreshType, combiSizeOnly];
// set test filter params
if (isNodeJs) {
const args = process.argv.slice(2);
let paramsContent = '';
if (/--test_param_filter=\([0-9]+x[0-9]+,[\ ]*CV\_\w+,[\ ]*THRESH\_\w+\)/g.test(args.toString())) {
paramsContent = args.toString().match(/\([0-9]+x[0-9]+,[\ ]*CV\_\w+,[\ ]*THRESH\_\w+\)/g)[0];
} else if (/--test_param_filter=[\ ]*[0-9]+x[0-9]+[\ ]*/g.test(args.toString())) {
paramsContent = args.toString().match(/[\ ]*[0-9]+x[0-9]+[\ ]*/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();