박선진

동영상 프레임 단위로 분할 후 디텍션 api에 request

const express = require('express');
const fs = require('fs');
const {
cv,
getDataFilePath,
drawBlueRect,
drawGreenRect
} = require('./utils');
const openCV = require('opencv4nodejs');
const ffmpeg = require('ffmpeg');
const request = require('request')
const router = express.Router();
const path = require('path');
//================================================================
router.post('/videoResult', function (req, res) {
try {
let preview = req.body[0].preview;
str = preview.replace(/^data:(.*?);base64,/, "");
str = str.replace(/ /g, '+');
let preview = req.body[0].preview;
str = preview.replace(/^data:(.*?);base64,/, "");
str = str.replace(/ /g, '+');
fs.writeFileSync(`./data/temp.mp4`, str, 'base64', function (err) {
if (err) throw err;
console.log("video saved");
return;
})
let process = new ffmpeg(`./data/temp.mp4`);
detectedImgFile = "test.jpg"; // null로 바꿀 것
process.then(function (video) {
video.fnExtractFrameToJPG(__dirname + "/data",
{
every_n_seconds: 1,
file_name: 'frame_%s'
}, function (error, files) {
if (!error)
console.log('###1 Frames =>' + files);
console.log("###2 갯수 => " + files.length)
console.log("###3 첫번째 파일 => " + files[0]); // 마지막 파일은 영상임
let base64str = base64_encode(files[0]);
console.log("###4 base64str => " + base64str);
console.log("##### for")
for(var i=0;i<files.length-1;i++){
request.post({
url: 'http://101.101.210.73/process',
form: {
'data': base64_encode(files[0])
},
json: true
}, (err, response, body) => {
console.log(body)
})
}
/**
* TODO
* 반복문돌면서 각 프레임 파이썬 api 요청하고 응답받아서
* 하나라도 true나오면 프론트에 감지된 이미지파일주소 응답
*/
detectedImgFile=null;
}
)
})
fs.writeFile(`./data/temp.mp4`, str, 'base64', function (err) {
if (err) throw err;
console.log("saved");
const vCap = new openCV.VideoCapture('./data/temp.mp4')
const delay = 1000;
let done = false;
let cnt = 0;
while (!done) {
let frame = vCap.read();
cv.imwrite('./data/' + cnt + '.jpg');
cnt++;
if (frame.empty) {
vCap.reset();
frame = vCap.read();
}
}
});
} catch (err) {
console.log("err : " + err);
console.error(err);
}
return res.json({ data: 'myData' });
return res.json({ data: detectedImgFile });
});
//================================================================
// router.post('/faceRecognition', function (req, res) {
// try {
// let preview = req.body[0].preview;
// str = preview.replace(/^data:(.*?);base64,/, "");
// str = str.replace(/ /g, '+');
// // 임시파일 저장
// fs.writeFile(`./data/temp.jpg`, str, 'base64', function (err) {
// if (err) throw err;
// console.log("saved");
// detectFaceAndEyes('./data/temp.jpg');
// });
// } catch (err) {
// console.log('err: ' + err);
// }
// return res.json({ data: 'myData' });
// });
//================================================================
function base64encode(plaintext) {
return Buffer.from(plaintext, "utf8").toString('base64');
}
function base64decode(base64text) {
console.log(base64text.length);
return Buffer.from(base64text, 'base64').toString('utf8');
function base64_encode(file) {
// read binary data
var bitmap = fs.readFileSync(file);
// convert binary data to base64 encoded string
return new Buffer(bitmap).toString('base64');
}
// function detectFaceAndEyes(filePath) {
// const image = cv.imread(filePath);
// const faceClassifier = new cv.CascadeClassifier(cv.HAAR_FRONTALFACE_DEFAULT);
// const eyeClassifier = new cv.CascadeClassifier(cv.HAAR_EYE);
// // detect faces
// const faceResult = faceClassifier.detectMultiScale(image.bgrToGray());
// if (!faceResult.objects.length) {
// throw new Error('No faces detected!');
// }
// const sortByNumDetections = result => result.numDetections
// .map((num, idx) => ({ num, idx }))
// .sort(((n0, n1) => n1.num - n0.num))
// .map(({ idx }) => idx);
// // get best result
// const faceRect = faceResult.objects[sortByNumDetections(faceResult)[0]];
// console.log('faceRects:', faceResult.objects);
// console.log('confidences:', faceResult.numDetections);
// // detect eyes
// const faceRegion = image.getRegion(faceRect);
// const eyeResult = eyeClassifier.detectMultiScale(faceRegion);
// console.log('eyeRects:', eyeResult.objects);
// console.log('confidences:', eyeResult.numDetections);
// // get best result
// const eyeRects = sortByNumDetections(eyeResult)
// .slice(0, 2)
// .map(idx => eyeResult.objects[idx]);
// // draw face detection
// drawBlueRect(image, faceRect);
// // draw eyes detection in face region
// eyeRects.forEach(eyeRect => drawGreenRect(faceRegion, eyeRect));
// cv.imwrite(`./data/temp2.jpg`, image);
// }
module.exports = router;
\ No newline at end of file
......
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},
"native-node-utils": {
"version": "0.2.7",
"resolved": "https://registry.npmjs.org/native-node-utils/-/native-node-utils-0.2.7.tgz",
"integrity": "sha512-61v0G3uVxWlXHppSZGwZi+ZEIgGUKI8QvEkEJLb1GVePI7P8SBe+G747z+QMXSt4TxfgbVZP0DyobbRKYVIjdw==",
"requires": {
"nan": "^2.13.2"
}
},
"negotiator": {
"version": "0.6.2",
"resolved": "https://registry.npmjs.org/negotiator/-/negotiator-0.6.2.tgz",
"integrity": "sha512-hZXc7K2e+PgeI1eDBe/10Ard4ekbfrrqG8Ep+8Jmf4JID2bNg7NvCPOZN+kfF574pFQI7mum2AUqDidoKqcTOw=="
},
"npmlog": {
"version": "4.1.2",
"resolved": "https://registry.npmjs.org/npmlog/-/npmlog-4.1.2.tgz",
"integrity": "sha512-2uUqazuKlTaSI/dC8AzicUck7+IrEaOnN/e0jd3Xtt1KcGpwx30v50mL7oPyr/h9bL3E4aZccVwpwP+5W9Vjkg==",
"requires": {
"are-we-there-yet": "~1.1.2",
"console-control-strings": "~1.1.0",
"gauge": "~2.7.3",
"set-blocking": "~2.0.0"
}
},
"number-is-nan": {
"version": "1.0.1",
"resolved": "https://registry.npmjs.org/number-is-nan/-/number-is-nan-1.0.1.tgz",
"integrity": "sha1-CXtgK1NCKlIsGvuHkDGDNpQaAR0="
},
"oauth-sign": {
"version": "0.9.0",
"resolved": "https://registry.npmjs.org/oauth-sign/-/oauth-sign-0.9.0.tgz",
"integrity": "sha512-fexhUFFPTGV8ybAtSIGbV6gOkSv8UtRbDBnAyLQw4QPKkgNlsH2ByPGtMUqdWkos6YCRmAqViwgZrJc/mRDzZQ=="
},
"object-assign": {
"version": "4.1.1",
"resolved": "https://registry.npmjs.org/object-assign/-/object-assign-4.1.1.tgz",
......@@ -255,16 +567,60 @@
"ee-first": "1.1.1"
}
},
"opencv-build": {
"version": "0.1.9",
"resolved": "https://registry.npmjs.org/opencv-build/-/opencv-build-0.1.9.tgz",
"integrity": "sha512-tgT/bnJAcYROen9yaPynfK98IMl62mPSgMLmTx41911m5bczlq21xtE5r+UWLB/xEo/0hKk6tl5zHyxV/JS5Rg==",
"requires": {
"npmlog": "^4.1.2"
}
},
"opencv4nodejs": {
"version": "5.6.0",
"resolved": "https://registry.npmjs.org/opencv4nodejs/-/opencv4nodejs-5.6.0.tgz",
"integrity": "sha512-JvcT1hb2JUCdntcVABgD9Gprr+gkXBe+jhHKvrr0Ug51y087K4ybm0vHBQVzI2ei1aJxEc9tNknPL9rpyx5Xuw==",
"requires": {
"@types/node": ">6",
"nan": "^2.14.0",
"native-node-utils": "^0.2.7",
"npmlog": "^4.1.2",
"opencv-build": "^0.1.9"
}
},
"parseurl": {
"version": "1.3.3",
"resolved": "https://registry.npmjs.org/parseurl/-/parseurl-1.3.3.tgz",
"integrity": "sha512-CiyeOxFT/JZyN5m0z9PfXw4SCBJ6Sygz1Dpl0wqjlhDEGGBP1GnsUVEL0p63hoG1fcj3fHynXi9NYO4nWOL+qQ=="
},
"path": {
"version": "0.12.7",
"resolved": "https://registry.npmjs.org/path/-/path-0.12.7.tgz",
"integrity": "sha1-1NwqUGxM4hl+tIHr/NWzbAFAsQ8=",
"requires": {
"process": "^0.11.1",
"util": "^0.10.3"
}
},
"path-to-regexp": {
"version": "0.1.7",
"resolved": "https://registry.npmjs.org/path-to-regexp/-/path-to-regexp-0.1.7.tgz",
"integrity": "sha1-32BBeABfUi8V60SQ5yR6G/qmf4w="
},
"performance-now": {
"version": "2.1.0",
"resolved": "https://registry.npmjs.org/performance-now/-/performance-now-2.1.0.tgz",
"integrity": "sha1-Ywn04OX6kT7BxpMHrjZLSzd8nns="
},
"process": {
"version": "0.11.10",
"resolved": "https://registry.npmjs.org/process/-/process-0.11.10.tgz",
"integrity": "sha1-czIwDoQBYb2j5podHZGn1LwW8YI="
},
"process-nextick-args": {
"version": "2.0.1",
"resolved": "https://registry.npmjs.org/process-nextick-args/-/process-nextick-args-2.0.1.tgz",
"integrity": "sha512-3ouUOpQhtgrbOa17J7+uxOTpITYWaGP7/AhoR3+A+/1e9skrzelGi/dXzEYyvbxubEF6Wn2ypscTKiKJFFn1ag=="
},
"proxy-addr": {
"version": "2.0.6",
"resolved": "https://registry.npmjs.org/proxy-addr/-/proxy-addr-2.0.6.tgz",
......@@ -274,6 +630,16 @@
"ipaddr.js": "1.9.1"
}
},
"psl": {
"version": "1.8.0",
"resolved": "https://registry.npmjs.org/psl/-/psl-1.8.0.tgz",
"integrity": "sha512-RIdOzyoavK+hA18OGGWDqUTsCLhtA7IcZ/6NCs4fFJaHBDab+pDDmDIByWFRQJq2Cd7r1OoQxBGKOaztq+hjIQ=="
},
"punycode": {
"version": "2.1.1",
"resolved": "https://registry.npmjs.org/punycode/-/punycode-2.1.1.tgz",
"integrity": "sha512-XRsRjdf+j5ml+y/6GKHPZbrF/8p2Yga0JPtdqTIY2Xe5ohJPD9saDJJLPvp9+NSBprVvevdXZybnj2cv8OEd0A=="
},
"qs": {
"version": "6.7.0",
"resolved": "https://registry.npmjs.org/qs/-/qs-6.7.0.tgz",
......@@ -295,6 +661,54 @@
"unpipe": "1.0.0"
}
},
"readable-stream": {
"version": "2.3.7",
"resolved": "https://registry.npmjs.org/readable-stream/-/readable-stream-2.3.7.tgz",
"integrity": "sha512-Ebho8K4jIbHAxnuxi7o42OrZgF/ZTNcsZj6nRKyUmkhLFq8CHItp/fy6hQZuZmP/n3yZ9VBUbp4zz/mX8hmYPw==",
"requires": {
"core-util-is": "~1.0.0",
"inherits": "~2.0.3",
"isarray": "~1.0.0",
"process-nextick-args": "~2.0.0",
"safe-buffer": "~5.1.1",
"string_decoder": "~1.1.1",
"util-deprecate": "~1.0.1"
}
},
"request": {
"version": "2.88.2",
"resolved": "https://registry.npmjs.org/request/-/request-2.88.2.tgz",
"integrity": "sha512-MsvtOrfG9ZcrOwAW+Qi+F6HbD0CWXEh9ou77uOb7FM2WPhwT7smM833PzanhJLsgXjN89Ir6V2PczXNnMpwKhw==",
"requires": {
"aws-sign2": "~0.7.0",
"aws4": "^1.8.0",
"caseless": "~0.12.0",
"combined-stream": "~1.0.6",
"extend": "~3.0.2",
"forever-agent": "~0.6.1",
"form-data": "~2.3.2",
"har-validator": "~5.1.3",
"http-signature": "~1.2.0",
"is-typedarray": "~1.0.0",
"isstream": "~0.1.2",
"json-stringify-safe": "~5.0.1",
"mime-types": "~2.1.19",
"oauth-sign": "~0.9.0",
"performance-now": "^2.1.0",
"qs": "~6.5.2",
"safe-buffer": "^5.1.2",
"tough-cookie": "~2.5.0",
"tunnel-agent": "^0.6.0",
"uuid": "^3.3.2"
},
"dependencies": {
"qs": {
"version": "6.5.2",
"resolved": "https://registry.npmjs.org/qs/-/qs-6.5.2.tgz",
"integrity": "sha512-N5ZAX4/LxJmF+7wN74pUD6qAh9/wnvdQcjq9TZjevvXzSUo7bfmw91saqMjzGS2xq91/odN2dW/WOl7qQHNDGA=="
}
}
},
"safe-buffer": {
"version": "5.1.2",
"resolved": "https://registry.npmjs.org/safe-buffer/-/safe-buffer-5.1.2.tgz",
......@@ -343,21 +757,95 @@
"send": "0.17.1"
}
},
"set-blocking": {
"version": "2.0.0",
"resolved": "https://registry.npmjs.org/set-blocking/-/set-blocking-2.0.0.tgz",
"integrity": "sha1-BF+XgtARrppoA93TgrJDkrPYkPc="
},
"setprototypeof": {
"version": "1.1.1",
"resolved": "https://registry.npmjs.org/setprototypeof/-/setprototypeof-1.1.1.tgz",
"integrity": "sha512-JvdAWfbXeIGaZ9cILp38HntZSFSo3mWg6xGcJJsd+d4aRMOqauag1C63dJfDw7OaMYwEbHMOxEZ1lqVRYP2OAw=="
},
"signal-exit": {
"version": "3.0.3",
"resolved": "https://registry.npmjs.org/signal-exit/-/signal-exit-3.0.3.tgz",
"integrity": "sha512-VUJ49FC8U1OxwZLxIbTTrDvLnf/6TDgxZcK8wxR8zs13xpx7xbG60ndBlhNrFi2EMuFRoeDoJO7wthSLq42EjA=="
},
"sshpk": {
"version": "1.16.1",
"resolved": "https://registry.npmjs.org/sshpk/-/sshpk-1.16.1.tgz",
"integrity": "sha512-HXXqVUq7+pcKeLqqZj6mHFUMvXtOJt1uoUx09pFW6011inTMxqI8BA8PM95myrIyyKwdnzjdFjLiE6KBPVtJIg==",
"requires": {
"asn1": "~0.2.3",
"assert-plus": "^1.0.0",
"bcrypt-pbkdf": "^1.0.0",
"dashdash": "^1.12.0",
"ecc-jsbn": "~0.1.1",
"getpass": "^0.1.1",
"jsbn": "~0.1.0",
"safer-buffer": "^2.0.2",
"tweetnacl": "~0.14.0"
}
},
"statuses": {
"version": "1.5.0",
"resolved": "https://registry.npmjs.org/statuses/-/statuses-1.5.0.tgz",
"integrity": "sha1-Fhx9rBd2Wf2YEfQ3cfqZOBR4Yow="
},
"string-width": {
"version": "1.0.2",
"resolved": "https://registry.npmjs.org/string-width/-/string-width-1.0.2.tgz",
"integrity": "sha1-EYvfW4zcUaKn5w0hHgfisLmxB9M=",
"requires": {
"code-point-at": "^1.0.0",
"is-fullwidth-code-point": "^1.0.0",
"strip-ansi": "^3.0.0"
}
},
"string_decoder": {
"version": "1.1.1",
"resolved": "https://registry.npmjs.org/string_decoder/-/string_decoder-1.1.1.tgz",
"integrity": "sha512-n/ShnvDi6FHbbVfviro+WojiFzv+s8MPMHBczVePfUpDJLwoLT0ht1l4YwBCbi8pJAveEEdnkHyPyTP/mzRfwg==",
"requires": {
"safe-buffer": "~5.1.0"
}
},
"strip-ansi": {
"version": "3.0.1",
"resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-3.0.1.tgz",
"integrity": "sha1-ajhfuIU9lS1f8F0Oiq+UJ43GPc8=",
"requires": {
"ansi-regex": "^2.0.0"
}
},
"toidentifier": {
"version": "1.0.0",
"resolved": "https://registry.npmjs.org/toidentifier/-/toidentifier-1.0.0.tgz",
"integrity": "sha512-yaOH/Pk/VEhBWWTlhI+qXxDFXlejDGcQipMlyxda9nthulaxLZUNcUqFxokp0vcYnvteJln5FNQDRrxj3YcbVw=="
},
"tough-cookie": {
"version": "2.5.0",
"resolved": "https://registry.npmjs.org/tough-cookie/-/tough-cookie-2.5.0.tgz",
"integrity": "sha512-nlLsUzgm1kfLXSXfRZMc1KLAugd4hqJHDTvc2hDIwS3mZAfMEuMbc03SujMF+GEcpaX/qboeycw6iO8JwVv2+g==",
"requires": {
"psl": "^1.1.28",
"punycode": "^2.1.1"
}
},
"tunnel-agent": {
"version": "0.6.0",
"resolved": "https://registry.npmjs.org/tunnel-agent/-/tunnel-agent-0.6.0.tgz",
"integrity": "sha1-J6XeoGs2sEoKmWZ3SykIaPD8QP0=",
"requires": {
"safe-buffer": "^5.0.1"
}
},
"tweetnacl": {
"version": "0.14.5",
"resolved": "https://registry.npmjs.org/tweetnacl/-/tweetnacl-0.14.5.tgz",
"integrity": "sha1-WuaBd/GS1EViadEIr6k/+HQ/T2Q="
},
"type-is": {
"version": "1.6.18",
"resolved": "https://registry.npmjs.org/type-is/-/type-is-1.6.18.tgz",
......@@ -372,15 +860,64 @@
"resolved": "https://registry.npmjs.org/unpipe/-/unpipe-1.0.0.tgz",
"integrity": "sha1-sr9O6FFKrmFltIF4KdIbLvSZBOw="
},
"uri-js": {
"version": "4.2.2",
"resolved": "https://registry.npmjs.org/uri-js/-/uri-js-4.2.2.tgz",
"integrity": "sha512-KY9Frmirql91X2Qgjry0Wd4Y+YTdrdZheS8TFwvkbLWf/G5KNJDCh6pKL5OZctEW4+0Baa5idK2ZQuELRwPznQ==",
"requires": {
"punycode": "^2.1.0"
}
},
"util": {
"version": "0.10.4",
"resolved": "https://registry.npmjs.org/util/-/util-0.10.4.tgz",
"integrity": "sha512-0Pm9hTQ3se5ll1XihRic3FDIku70C+iHUdT/W926rSgHV5QgXsYbKZN8MSC3tJtSkhuROzvsQjAaFENRXr+19A==",
"requires": {
"inherits": "2.0.3"
}
},
"util-deprecate": {
"version": "1.0.2",
"resolved": "https://registry.npmjs.org/util-deprecate/-/util-deprecate-1.0.2.tgz",
"integrity": "sha1-RQ1Nyfpw3nMnYvvS1KKJgUGaDM8="
},
"utils-merge": {
"version": "1.0.1",
"resolved": "https://registry.npmjs.org/utils-merge/-/utils-merge-1.0.1.tgz",
"integrity": "sha1-n5VxD1CiZ5R7LMwSR0HBAoQn5xM="
},
"uuid": {
"version": "3.4.0",
"resolved": "https://registry.npmjs.org/uuid/-/uuid-3.4.0.tgz",
"integrity": "sha512-HjSDRw6gZE5JMggctHBcjVak08+KEVhSIiDzFnT9S9aegmp85S/bReBVTb4QTFaRNptJ9kuYaNhnbNEOkbKb/A=="
},
"vary": {
"version": "1.1.2",
"resolved": "https://registry.npmjs.org/vary/-/vary-1.1.2.tgz",
"integrity": "sha1-IpnwLG3tMNSllhsLn3RSShj2NPw="
},
"verror": {
"version": "1.10.0",
"resolved": "https://registry.npmjs.org/verror/-/verror-1.10.0.tgz",
"integrity": "sha1-OhBcoXBTr1XW4nDB+CiGguGNpAA=",
"requires": {
"assert-plus": "^1.0.0",
"core-util-is": "1.0.2",
"extsprintf": "^1.2.0"
}
},
"when": {
"version": "3.7.8",
"resolved": "https://registry.npmjs.org/when/-/when-3.7.8.tgz",
"integrity": "sha1-xxMLan6gRpPoQs3J56Hyqjmjn4I="
},
"wide-align": {
"version": "1.1.3",
"resolved": "https://registry.npmjs.org/wide-align/-/wide-align-1.1.3.tgz",
"integrity": "sha512-QGkOQc8XL6Bt5PwnsExKBPuMKBxnGxWWW3fU55Xt4feHozMUhdUMaBCk290qpm/wG5u/RSKzwdAC4i51YigihA==",
"requires": {
"string-width": "^1.0.2 || 2"
}
}
}
}
......
{
"name": "back-end",
"version": "1.0.0",
"description": "",
"main": "apiRouter.js",
"scripts": {
"test": "echo \"Error: no test specified\" && exit 1",
"start": "node server.js"
},
"author": "",
"license": "ISC",
"dependencies": {
"body-parser": "^1.19.0",
"cors": "^2.8.5",
"express": "^4.17.1",
"ffmpeg": "0.0.4",
"opencv4nodejs": "^5.6.0",
"path": "^0.12.7",
"request": "^2.88.2"
}
}
......@@ -12,5 +12,5 @@ app.use(bodyParser.urlencoded({limit: '100mb', extended: true}));
app.use(bodyParser());
app.use('/api', api);
const port = 3002;
const port = 3003;
app.listen(port, () => console.log(`노드서버 시작 : ${port}`));
......
const path = require('path');
const cv = require('opencv4nodejs');
exports.cv = cv;
const dataPath = path.resolve(__dirname, './data');
exports.dataPath = dataPath;
exports.getDataFilePath = fileName => {
let targetPath = path.resolve(dataPath, fileName);
return targetPath;
}
const grabFrames = (videoFile, delay, onFrame) => {
const cap = new cv.VideoCapture(videoFile);
let done = false;
const intvl = setInterval(() => {
let frame = cap.read();
// loop back to start on end of stream reached
if (frame.empty) {
cap.reset();
frame = cap.read();
}
onFrame(frame);
const key = cv.waitKey(delay);
done = key !== -1 && key !== 255;
if (done) {
clearInterval(intvl);
console.log('Key pressed, exiting.');
}
}, 0);
};
exports.grabFrames = grabFrames;
exports.runVideoDetection = (src, detect) => {
grabFrames(src, 1, frame => {
detect(frame);
});
};
exports.drawRectAroundBlobs = (binaryImg, dstImg, minPxSize, fixedRectWidth) => {
const {
centroids,
stats
} = binaryImg.connectedComponentsWithStats();
// pretend label 0 is background
for (let label = 1; label < centroids.rows; label += 1) {
const [x1, y1] = [stats.at(label, cv.CC_STAT_LEFT), stats.at(label, cv.CC_STAT_TOP)];
const [x2, y2] = [
x1 + (fixedRectWidth || stats.at(label, cv.CC_STAT_WIDTH)),
y1 + (fixedRectWidth || stats.at(label, cv.CC_STAT_HEIGHT))
];
const size = stats.at(label, cv.CC_STAT_AREA);
const blue = new cv.Vec(255, 0, 0);
if (minPxSize < size) {
dstImg.drawRectangle(
new cv.Point(x1, y1),
new cv.Point(x2, y2),
{ color: blue, thickness: 2 }
);
}
}
};
const drawRect = (image, rect, color, opts = { thickness: 2 }) =>
image.drawRectangle(
rect,
color,
opts.thickness,
cv.LINE_8
);
exports.drawRect = drawRect;
exports.drawBlueRect = (image, rect, opts = { thickness: 2 }) =>
drawRect(image, rect, new cv.Vec(255, 0, 0), opts);
exports.drawGreenRect = (image, rect, opts = { thickness: 2 }) =>
drawRect(image, rect, new cv.Vec(0, 255, 0), opts);
exports.drawRedRect = (image, rect, opts = { thickness: 2 }) =>
drawRect(image, rect, new cv.Vec(0, 0, 255), opts);
\ No newline at end of file