Import face-detection-wasm

http://codepen.io/huningxin/pen/ZJyOBW
huningxin · Aug 11, 2017 · 9913be6 · 9913be6
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diff --git a/samples/face-detection-wasm/README.txt b/samples/face-detection-wasm/README.txt
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+A Pen created at CodePen.io. You can find this one at http://codepen.io/huningxin/pen/ZJyOBW.
+
+
diff --git a/samples/face-detection-wasm/css/style.css b/samples/face-detection-wasm/css/style.css
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+canvas {
+  border: 1px solid black;
+}
+.invisible {
+  display: none;
+}
+.text-center {
+  text-align: center;
+}
+div {
+  margin: 10px;
+}
+.center-block {
+  display: block;
+  margin: auto;
+}
+label {
+  padding-right: 10px;
+  width: 25%;
+  vertical-align: top;
+  font: 16px 'Lucida Grande', sans-serif;
+}
diff --git a/samples/face-detection-wasm/index.html b/samples/face-detection-wasm/index.html
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+<!DOCTYPE html>
+<html >
+<head>
+  <meta charset="UTF-8">
+  <title>OpenCV.js Face Detection (WebAssembly)</title>
+
+
+
+      <link rel="stylesheet" href="css/style.css">
+
+
+</head>
+
+<body>
+  <meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1, user-scalable=no">
+<body>
+  <div id="container">
+    <canvas class="center-block" id="canvasOutput" width=320 height=240></canvas>
+  </div>
+  <div class="text-center">
+    <input type="checkbox" id="face" name="classifier" value="face" checked>
+    <label for="face">face</label>
+    <input type="checkbox" id="eye" name="cascade" value="eye">
+    <label for="eye">eye</label>
+  </div>
+  <div class="invisible">
+    <video id="video" class="hidden">Your browser does not support the video tag.</video>
+  </div>
+</div>
+</body>
+<script src="https://webrtc.github.io/adapter/adapter-latest.js"></script>
+<script src="https://threejs.org/examples/js/libs/stats.min.js"></script>
+<script src="https://cdnjs.cloudflare.com/ajax/libs/dat-gui/0.6.5/dat.gui.min.js"></script>
+<script>
+  var Module = {
+     wasmBinaryFile: 'https://huningxin.github.io/opencv.js/build/wasm/opencv_js.wasm',
+    preRun: [function() {
+      Module.FS_createPreloadedFile('/', 'haarcascade_eye.xml', 'https://raw.githubusercontent.com/opencv/opencv/master/data/haarcascades/haarcascade_eye.xml', true, false);
+      Module.FS_createPreloadedFile('/', 'haarcascade_frontalface_default.xml', 'https://raw.githubusercontent.com/opencv/opencv/master/data/haarcascades/haarcascade_frontalface_default.xml', true, false);
+      Module.FS_createPreloadedFile('/', 'haarcascade_profileface.xml', 'https://raw.githubusercontent.com/opencv/opencv/master/data/haarcascades/haarcascade_profileface.xml', true, false);
+    }],
+    _main: function() {opencvIsReady();}
+  };
+</script>
+<script async src="https://huningxin.github.io/opencv.js/build/wasm/opencv.js"></script>
+
+    <script src="js/index.js"></script>
+
+</body>
+</html>
diff --git a/samples/face-detection-wasm/js/index.js b/samples/face-detection-wasm/js/index.js
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+let videoWidth, videoHeight;
+
+// whether streaming video from the camera.
+let streaming = false;
+
+let video = document.getElementById('video');
+let canvasOutput = document.getElementById('canvasOutput');
+let canvasOutputCtx = canvasOutput.getContext('2d');
+let stream = null;
+
+let detectFace = document.getElementById('face');
+let detectEye = document.getElementById('eye');
+
+function startCamera() {
+  if (streaming) return;
+  navigator.mediaDevices.getUserMedia({video: true, audio: false})
+    .then(function(s) {
+    stream = s;
+    video.srcObject = s;
+    video.play();
+  })
+    .catch(function(err) {
+    console.log("An error occured! " + err);
+  });
+
+  video.addEventListener("canplay", function(ev){
+    if (!streaming) {
+      videoWidth = video.videoWidth;
+      videoHeight = video.videoHeight;
+      video.setAttribute("width", videoWidth);
+      video.setAttribute("height", videoHeight);
+      canvasOutput.width = videoWidth;
+      canvasOutput.height = videoHeight;
+      streaming = true;
+    }
+    startVideoProcessing();
+  }, false);
+}
+
+let faceClassifier = null;
+let eyeClassifier = null;
+
+let src = null;
+let dstC1 = null;
+let dstC3 = null;
+let dstC4 = null;
+
+let canvasInput = null;
+let canvasInputCtx = null;
+
+let canvasBuffer = null;
+let canvasBufferCtx = null;
+
+function startVideoProcessing() {
+  if (!streaming) { console.warn("Please startup your webcam"); return; }
+  stopVideoProcessing();
+  canvasInput = document.createElement('canvas');
+  canvasInput.width = videoWidth;
+  canvasInput.height = videoHeight;
+  canvasInputCtx = canvasInput.getContext('2d');
+
+  canvasBuffer = document.createElement('canvas');
+  canvasBuffer.width = videoWidth;
+  canvasBuffer.height = videoHeight;
+  canvasBufferCtx = canvasBuffer.getContext('2d');
+
+  srcMat = new cv.Mat(videoHeight, videoWidth, cv.CV_8UC4);
+  grayMat = new cv.Mat(videoHeight, videoWidth, cv.CV_8UC1);
+
+  faceClassifier = new cv.CascadeClassifier();
+  faceClassifier.load('haarcascade_frontalface_default.xml');
+
+  eyeClassifier = new cv.CascadeClassifier();
+  eyeClassifier.load('haarcascade_eye.xml');
+
+  requestAnimationFrame(processVideo);
+}
+
+function processVideo() {
+  stats.begin();
+  canvasInputCtx.drawImage(video, 0, 0, videoWidth, videoHeight);
+  let imageData = canvasInputCtx.getImageData(0, 0, videoWidth, videoHeight);
+  srcMat.data.set(imageData.data);
+  cv.cvtColor(srcMat, grayMat, cv.COLOR_RGBA2GRAY);
+  let faces = [];
+  let eyes = [];
+  let size;
+  if (detectFace.checked) {
+    let faceVect = new cv.RectVector();
+    let faceMat = new cv.Mat();
+    if (detectEye.checked) {
+      cv.pyrDown(grayMat, faceMat);
+      size = faceMat.size();
+    } else {
+      cv.pyrDown(grayMat, faceMat);
+      cv.pyrDown(faceMat, faceMat);
+      size = faceMat.size();
+    }
+    faceClassifier.detectMultiScale(faceMat, faceVect);
+    for (let i = 0; i < faceVect.size(); i++) {
+      let face = faceVect.get(i);
+      faces.push(new cv.Rect(face.x, face.y, face.width, face.height));
+      if (detectEye.checked) {
+        let eyeVect = new cv.RectVector();
+        let eyeMat = faceMat.getRoiRect(face);
+        eyeClassifier.detectMultiScale(eyeMat, eyeVect);
+        for (let i = 0; i < eyeVect.size(); i++) {
+          let eye = eyeVect.get(i);
+          eyes.push(new cv.Rect(face.x + eye.x, face.y + eye.y, eye.width, eye.height));
+        }
+        eyeMat.delete();
+        eyeVect.delete();
+      }
+    }
+    faceMat.delete();
+    faceVect.delete();
+  } else {
+    if (detectEye.checked) {
+      let eyeVect = new cv.RectVector();
+      let eyeMat = new cv.Mat();
+      cv.pyrDown(grayMat, eyeMat);
+      size = eyeMat.size();
+      eyeClassifier.detectMultiScale(eyeMat, eyeVect);
+      for (let i = 0; i < eyeVect.size(); i++) {
+        let eye = eyeVect.get(i);
+        eyes.push(new cv.Rect(eye.x, eye.y, eye.width, eye.height));
+      }
+      eyeMat.delete();
+      eyeVect.delete();
+    }
+  }
+  canvasOutputCtx.drawImage(canvasInput, 0, 0, videoWidth, videoHeight);
+  drawResults(canvasOutputCtx, faces, 'red', size);
+  drawResults(canvasOutputCtx, eyes, 'yellow', size);
+  stats.end();
+  requestAnimationFrame(processVideo);
+}
+
+function drawResults(ctx, results, color, size) {
+  for (let i = 0; i < results.length; ++i) {
+    let rect = results[i];
+    let xRatio = videoWidth/size.width;
+    let yRatio = videoHeight/size.height;
+    ctx.lineWidth = 3;
+    ctx.strokeStyle = color;
+    ctx.strokeRect(rect.x*xRatio, rect.y*yRatio, rect.width*xRatio, rect.height*yRatio);
+  }
+}
+
+function stopVideoProcessing() {
+  if (src != null && !src.isDeleted()) src.delete();
+  if (dstC1 != null && !dstC1.isDeleted()) dstC1.delete();
+  if (dstC3 != null && !dstC3.isDeleted()) dstC3.delete();
+  if (dstC4 != null && !dstC4.isDeleted()) dstC4.delete();
+}
+
+function stopCamera() {
+  if (!streaming) return;
+  stopVideoProcessing();
+  document.getElementById("canvasOutput").getContext("2d").clearRect(0, 0, width, height);
+  video.pause();
+  video.srcObject=null;
+  stream.getVideoTracks()[0].stop();
+  streaming = false;
+}
+
+function initUI() {
+  stats = new Stats();
+  stats.showPanel(0);
+  document.getElementById('container').appendChild(stats.dom);
+}
+
+function opencvIsReady() {
+  console.log('OpenCV.js is ready');
+  initUI();
+  startCamera();
+}
diff --git a/samples/face-detection-wasm/license.txt b/samples/face-detection-wasm/license.txt
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+
+
+<!--
+Copyright (c) 2017 by Ningxin Hu (http://codepen.io/huningxin/pen/ZJyOBW)
+
+
+Fork of an original work by Ningxin Hu (http://codepen.io/huningxin/pen/EvmMYN)
+
+
+
+Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+-->
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		A Pen created at CodePen.io. You can find this one at http://codepen.io/huningxin/pen/ZJyOBW.