프론트로부터 전달받은 영상 파일 base64 디코딩 후 로컬에 저장

 const express = require('express');
+const fs = require('fs');
+const {
+    cv,
+    getDataFilePath,
+    drawBlueRect,
+    drawGreenRect
+} = require('./utils');
+
+const openCV = require('opencv4nodejs');
+
 const router = express.Router();
 
-router.post('/videoResult', function(req,res) {
-    file = req.body[0].preview.split(',')[1];
-    console.log(file.length);
-    
-    return res.json({data:'myData'});
+//================================================================
+
+router.post('/videoResult', function (req, res) {
+
+    try {
+    let preview = req.body[0].preview;
+
+    str = preview.replace(/^data:(.*?);base64,/, "");
+    str = str.replace(/ /g, '+');
+
+
+    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);
+    }
+
+    return res.json({ data: 'myData' });
 });
 
+//================================================================
+
+// 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 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;
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+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);
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