박선진 / video-emergency-detection

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박선진
51e9cc01 1 parent 035ad4e4

동영상 프레임 단위로 분할 후 디텍션 api에 request

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Showing 5 changed files with 621 additions and 193 deletions
1 const express = require('express'); 1 const express = require('express');
2 const fs = require('fs'); 2 const fs = require('fs');
3 -const { 3 +const ffmpeg = require('ffmpeg');
4 - cv, 4 +const request = require('request')
5 - getDataFilePath,
6 - drawBlueRect,
7 - drawGreenRect
8 -} = require('./utils');
9 -
10 -const openCV = require('opencv4nodejs');
11 5
12 const router = express.Router(); 6 const router = express.Router();
13 - 7 +const path = require('path');
14 //================================================================ 8 //================================================================
15 9
16 router.post('/videoResult', function (req, res) { 10 router.post('/videoResult', function (req, res) {
17 11
18 try { 12 try {
19 - let preview = req.body[0].preview; 13 + let preview = req.body[0].preview;
20 - 14 +
21 - str = preview.replace(/^data:(.*?);base64,/, ""); 15 + str = preview.replace(/^data:(.*?);base64,/, "");
22 - str = str.replace(/ /g, '+'); 16 + str = str.replace(/ /g, '+');
23 - 17 +
18 +
19 + fs.writeFileSync(`./data/temp.mp4`, str, 'base64', function (err) {
20 + if (err) throw err;
21 + console.log("video saved");
22 + return;
23 + })
24 +
25 + let process = new ffmpeg(`./data/temp.mp4`);
26 +
27 +
28 + detectedImgFile = "test.jpg"; // null로 바꿀 것
29 + process.then(function (video) {
30 + video.fnExtractFrameToJPG(__dirname + "/data",
31 + {
32 + every_n_seconds: 1,
33 + file_name: 'frame_%s'
34 + }, function (error, files) {
35 + if (!error)
36 + console.log('###1 Frames =>' + files);
37 + console.log("###2 갯수 => " + files.length)
38 +
39 +
40 + console.log("###3 첫번째 파일 => " + files[0]); // 마지막 파일은 영상임
41 + let base64str = base64_encode(files[0]);
42 + console.log("###4 base64str => " + base64str);
43 + console.log("##### for")
44 + for(var i=0;i<files.length-1;i++){
45 + request.post({
46 + url: 'http://101.101.210.73/process',
47 + form: {
48 + 'data': base64_encode(files[0])
49 + },
50 + json: true
51 + }, (err, response, body) => {
52 + console.log(body)
53 + })
54 + }
55 + /**
56 + * TODO
57 + * 반복문돌면서 각 프레임 파이썬 api 요청하고 응답받아서
58 + * 하나라도 true나오면 프론트에 감지된 이미지파일주소 응답
59 + */
60 + detectedImgFile=null;
61 + }
62 + )
63 + })
24 64
25 - fs.writeFile(`./data/temp.mp4`, str, 'base64', function (err) {
26 - if (err) throw err;
27 - console.log("saved");
28 - const vCap = new openCV.VideoCapture('./data/temp.mp4')
29 - const delay = 1000;
30 - let done = false;
31 - let cnt = 0;
32 - while (!done) {
33 - let frame = vCap.read();
34 - cv.imwrite('./data/' + cnt + '.jpg');
35 - cnt++;
36 - if (frame.empty) {
37 - vCap.reset();
38 - frame = vCap.read();
39 - }
40 - }
41 - });
42 } catch (err) { 65 } catch (err) {
43 - console.log("err : " + err); 66 + console.error(err);
44 } 67 }
45 68
46 - return res.json({ data: 'myData' }); 69 + return res.json({ data: detectedImgFile });
47 }); 70 });
48 71
49 -//================================================================ 72 +function base64_encode(file) {
50 - 73 + // read binary data
51 -// router.post('/faceRecognition', function (req, res) { 74 + var bitmap = fs.readFileSync(file);
52 - 75 + // convert binary data to base64 encoded string
53 -// try { 76 + return new Buffer(bitmap).toString('base64');
54 -// let preview = req.body[0].preview;
55 -
56 -// str = preview.replace(/^data:(.*?);base64,/, "");
57 -// str = str.replace(/ /g, '+');
58 -
59 -// // 임시파일 저장
60 -// fs.writeFile(`./data/temp.jpg`, str, 'base64', function (err) {
61 -// if (err) throw err;
62 -// console.log("saved");
63 -// detectFaceAndEyes('./data/temp.jpg');
64 -// });
65 -
66 -
67 -
68 -// } catch (err) {
69 -// console.log('err: ' + err);
70 -// }
71 -
72 -// return res.json({ data: 'myData' });
73 -// });
74 -
75 -//================================================================
76 -
77 -function base64encode(plaintext) {
78 - return Buffer.from(plaintext, "utf8").toString('base64');
79 -}
80 -
81 -function base64decode(base64text) {
82 - console.log(base64text.length);
83 - return Buffer.from(base64text, 'base64').toString('utf8');
84 } 77 }
85 78
86 -// function detectFaceAndEyes(filePath) {
87 -// const image = cv.imread(filePath);
88 -// const faceClassifier = new cv.CascadeClassifier(cv.HAAR_FRONTALFACE_DEFAULT);
89 -// const eyeClassifier = new cv.CascadeClassifier(cv.HAAR_EYE);
90 -
91 -// // detect faces
92 -// const faceResult = faceClassifier.detectMultiScale(image.bgrToGray());
93 -
94 -// if (!faceResult.objects.length) {
95 -// throw new Error('No faces detected!');
96 -// }
97 -
98 -// const sortByNumDetections = result => result.numDetections
99 -// .map((num, idx) => ({ num, idx }))
100 -// .sort(((n0, n1) => n1.num - n0.num))
101 -// .map(({ idx }) => idx);
102 -
103 -// // get best result
104 -// const faceRect = faceResult.objects[sortByNumDetections(faceResult)[0]];
105 -// console.log('faceRects:', faceResult.objects);
106 -// console.log('confidences:', faceResult.numDetections);
107 -
108 -// // detect eyes
109 -// const faceRegion = image.getRegion(faceRect);
110 -// const eyeResult = eyeClassifier.detectMultiScale(faceRegion);
111 -// console.log('eyeRects:', eyeResult.objects);
112 -// console.log('confidences:', eyeResult.numDetections);
113 -
114 -// // get best result
115 -// const eyeRects = sortByNumDetections(eyeResult)
116 -// .slice(0, 2)
117 -// .map(idx => eyeResult.objects[idx]);
118 -
119 -
120 -// // draw face detection
121 -// drawBlueRect(image, faceRect);
122 -
123 -// // draw eyes detection in face region
124 -// eyeRects.forEach(eyeRect => drawGreenRect(faceRegion, eyeRect));
125 -
126 -// cv.imwrite(`./data/temp2.jpg`, image);
127 -// }
128 -
129 module.exports = router; 79 module.exports = router;
...\ No newline at end of file ...\ No newline at end of file
......
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359 "integrity": "sha512-yaOH/Pk/VEhBWWTlhI+qXxDFXlejDGcQipMlyxda9nthulaxLZUNcUqFxokp0vcYnvteJln5FNQDRrxj3YcbVw==" 825 "integrity": "sha512-yaOH/Pk/VEhBWWTlhI+qXxDFXlejDGcQipMlyxda9nthulaxLZUNcUqFxokp0vcYnvteJln5FNQDRrxj3YcbVw=="
360 }, 826 },
827 + "tough-cookie": {
828 + "version": "2.5.0",
829 + "resolved": "https://registry.npmjs.org/tough-cookie/-/tough-cookie-2.5.0.tgz",
830 + "integrity": "sha512-nlLsUzgm1kfLXSXfRZMc1KLAugd4hqJHDTvc2hDIwS3mZAfMEuMbc03SujMF+GEcpaX/qboeycw6iO8JwVv2+g==",
831 + "requires": {
832 + "psl": "^1.1.28",
833 + "punycode": "^2.1.1"
834 + }
835 + },
836 + "tunnel-agent": {
837 + "version": "0.6.0",
838 + "resolved": "https://registry.npmjs.org/tunnel-agent/-/tunnel-agent-0.6.0.tgz",
839 + "integrity": "sha1-J6XeoGs2sEoKmWZ3SykIaPD8QP0=",
840 + "requires": {
841 + "safe-buffer": "^5.0.1"
842 + }
843 + },
844 + "tweetnacl": {
845 + "version": "0.14.5",
846 + "resolved": "https://registry.npmjs.org/tweetnacl/-/tweetnacl-0.14.5.tgz",
847 + "integrity": "sha1-WuaBd/GS1EViadEIr6k/+HQ/T2Q="
848 + },
361 "type-is": { 849 "type-is": {
362 "version": "1.6.18", 850 "version": "1.6.18",
363 "resolved": "https://registry.npmjs.org/type-is/-/type-is-1.6.18.tgz", 851 "resolved": "https://registry.npmjs.org/type-is/-/type-is-1.6.18.tgz",
...@@ -372,15 +860,64 @@ ...@@ -372,15 +860,64 @@
372 "resolved": "https://registry.npmjs.org/unpipe/-/unpipe-1.0.0.tgz", 860 "resolved": "https://registry.npmjs.org/unpipe/-/unpipe-1.0.0.tgz",
373 "integrity": "sha1-sr9O6FFKrmFltIF4KdIbLvSZBOw=" 861 "integrity": "sha1-sr9O6FFKrmFltIF4KdIbLvSZBOw="
374 }, 862 },
863 + "uri-js": {
864 + "version": "4.2.2",
865 + "resolved": "https://registry.npmjs.org/uri-js/-/uri-js-4.2.2.tgz",
866 + "integrity": "sha512-KY9Frmirql91X2Qgjry0Wd4Y+YTdrdZheS8TFwvkbLWf/G5KNJDCh6pKL5OZctEW4+0Baa5idK2ZQuELRwPznQ==",
867 + "requires": {
868 + "punycode": "^2.1.0"
869 + }
870 + },
871 + "util": {
872 + "version": "0.10.4",
873 + "resolved": "https://registry.npmjs.org/util/-/util-0.10.4.tgz",
874 + "integrity": "sha512-0Pm9hTQ3se5ll1XihRic3FDIku70C+iHUdT/W926rSgHV5QgXsYbKZN8MSC3tJtSkhuROzvsQjAaFENRXr+19A==",
875 + "requires": {
876 + "inherits": "2.0.3"
877 + }
878 + },
879 + "util-deprecate": {
880 + "version": "1.0.2",
881 + "resolved": "https://registry.npmjs.org/util-deprecate/-/util-deprecate-1.0.2.tgz",
882 + "integrity": "sha1-RQ1Nyfpw3nMnYvvS1KKJgUGaDM8="
883 + },
375 "utils-merge": { 884 "utils-merge": {
376 "version": "1.0.1", 885 "version": "1.0.1",
377 "resolved": "https://registry.npmjs.org/utils-merge/-/utils-merge-1.0.1.tgz", 886 "resolved": "https://registry.npmjs.org/utils-merge/-/utils-merge-1.0.1.tgz",
378 "integrity": "sha1-n5VxD1CiZ5R7LMwSR0HBAoQn5xM=" 887 "integrity": "sha1-n5VxD1CiZ5R7LMwSR0HBAoQn5xM="
379 }, 888 },
889 + "uuid": {
890 + "version": "3.4.0",
891 + "resolved": "https://registry.npmjs.org/uuid/-/uuid-3.4.0.tgz",
892 + "integrity": "sha512-HjSDRw6gZE5JMggctHBcjVak08+KEVhSIiDzFnT9S9aegmp85S/bReBVTb4QTFaRNptJ9kuYaNhnbNEOkbKb/A=="
893 + },
380 "vary": { 894 "vary": {
381 "version": "1.1.2", 895 "version": "1.1.2",
382 "resolved": "https://registry.npmjs.org/vary/-/vary-1.1.2.tgz", 896 "resolved": "https://registry.npmjs.org/vary/-/vary-1.1.2.tgz",
383 "integrity": "sha1-IpnwLG3tMNSllhsLn3RSShj2NPw=" 897 "integrity": "sha1-IpnwLG3tMNSllhsLn3RSShj2NPw="
898 + },
899 + "verror": {
900 + "version": "1.10.0",
901 + "resolved": "https://registry.npmjs.org/verror/-/verror-1.10.0.tgz",
902 + "integrity": "sha1-OhBcoXBTr1XW4nDB+CiGguGNpAA=",
903 + "requires": {
904 + "assert-plus": "^1.0.0",
905 + "core-util-is": "1.0.2",
906 + "extsprintf": "^1.2.0"
907 + }
908 + },
909 + "when": {
910 + "version": "3.7.8",
911 + "resolved": "https://registry.npmjs.org/when/-/when-3.7.8.tgz",
912 + "integrity": "sha1-xxMLan6gRpPoQs3J56Hyqjmjn4I="
913 + },
914 + "wide-align": {
915 + "version": "1.1.3",
916 + "resolved": "https://registry.npmjs.org/wide-align/-/wide-align-1.1.3.tgz",
917 + "integrity": "sha512-QGkOQc8XL6Bt5PwnsExKBPuMKBxnGxWWW3fU55Xt4feHozMUhdUMaBCk290qpm/wG5u/RSKzwdAC4i51YigihA==",
918 + "requires": {
919 + "string-width": "^1.0.2 || 2"
920 + }
384 } 921 }
385 } 922 }
386 } 923 }
......
1 +{
2 + "name": "back-end",
3 + "version": "1.0.0",
4 + "description": "",
5 + "main": "apiRouter.js",
6 + "scripts": {
7 + "test": "echo \"Error: no test specified\" && exit 1",
8 + "start": "node server.js"
9 + },
10 + "author": "",
11 + "license": "ISC",
12 + "dependencies": {
13 + "body-parser": "^1.19.0",
14 + "cors": "^2.8.5",
15 + "express": "^4.17.1",
16 + "ffmpeg": "0.0.4",
17 + "opencv4nodejs": "^5.6.0",
18 + "path": "^0.12.7",
19 + "request": "^2.88.2"
20 + }
21 +}
...@@ -12,5 +12,5 @@ app.use(bodyParser.urlencoded({limit: '100mb', extended: true})); ...@@ -12,5 +12,5 @@ app.use(bodyParser.urlencoded({limit: '100mb', extended: true}));
12 app.use(bodyParser()); 12 app.use(bodyParser());
13 app.use('/api', api); 13 app.use('/api', api);
14 14
15 -const port = 3002; 15 +const port = 3003;
16 app.listen(port, () => console.log(`노드서버 시작 : ${port}`)); 16 app.listen(port, () => console.log(`노드서버 시작 : ${port}`));
......
1 -const path = require('path');
2 -const cv = require('opencv4nodejs');
3 -
4 -exports.cv = cv;
5 -
6 -const dataPath = path.resolve(__dirname, './data');
7 -exports.dataPath = dataPath;
8 -exports.getDataFilePath = fileName => {
9 - let targetPath = path.resolve(dataPath, fileName);
10 - return targetPath;
11 -}
12 -
13 -const grabFrames = (videoFile, delay, onFrame) => {
14 - const cap = new cv.VideoCapture(videoFile);
15 - let done = false;
16 - const intvl = setInterval(() => {
17 - let frame = cap.read();
18 - // loop back to start on end of stream reached
19 - if (frame.empty) {
20 - cap.reset();
21 - frame = cap.read();
22 - }
23 - onFrame(frame);
24 -
25 - const key = cv.waitKey(delay);
26 - done = key !== -1 && key !== 255;
27 - if (done) {
28 - clearInterval(intvl);
29 - console.log('Key pressed, exiting.');
30 - }
31 - }, 0);
32 -};
33 -exports.grabFrames = grabFrames;
34 -
35 -exports.runVideoDetection = (src, detect) => {
36 - grabFrames(src, 1, frame => {
37 - detect(frame);
38 - });
39 -};
40 -
41 -exports.drawRectAroundBlobs = (binaryImg, dstImg, minPxSize, fixedRectWidth) => {
42 - const {
43 - centroids,
44 - stats
45 - } = binaryImg.connectedComponentsWithStats();
46 -
47 - // pretend label 0 is background
48 - for (let label = 1; label < centroids.rows; label += 1) {
49 - const [x1, y1] = [stats.at(label, cv.CC_STAT_LEFT), stats.at(label, cv.CC_STAT_TOP)];
50 - const [x2, y2] = [
51 - x1 + (fixedRectWidth || stats.at(label, cv.CC_STAT_WIDTH)),
52 - y1 + (fixedRectWidth || stats.at(label, cv.CC_STAT_HEIGHT))
53 - ];
54 - const size = stats.at(label, cv.CC_STAT_AREA);
55 - const blue = new cv.Vec(255, 0, 0);
56 - if (minPxSize < size) {
57 - dstImg.drawRectangle(
58 - new cv.Point(x1, y1),
59 - new cv.Point(x2, y2),
60 - { color: blue, thickness: 2 }
61 - );
62 - }
63 - }
64 -};
65 -
66 -const drawRect = (image, rect, color, opts = { thickness: 2 }) =>
67 - image.drawRectangle(
68 - rect,
69 - color,
70 - opts.thickness,
71 - cv.LINE_8
72 - );
73 -
74 -exports.drawRect = drawRect;
75 -exports.drawBlueRect = (image, rect, opts = { thickness: 2 }) =>
76 - drawRect(image, rect, new cv.Vec(255, 0, 0), opts);
77 -exports.drawGreenRect = (image, rect, opts = { thickness: 2 }) =>
78 - drawRect(image, rect, new cv.Vec(0, 255, 0), opts);
79 -exports.drawRedRect = (image, rect, opts = { thickness: 2 }) =>
80 - drawRect(image, rect, new cv.Vec(0, 0, 255), opts);
...\ No newline at end of file ...\ No newline at end of file