fixed memory leak

README.md

@@ -280,4 +280,4 @@ Library can also be used on mobile devices
 ## Todo
 
 - Improve detection of smaller faces
-- Fix memory leak in face detector
+- Verify age/gender models

demo/demo-esm.js

@@ -7,13 +7,13 @@ const config = {
   face: {
     enabled: true,
     detector: { maxFaces: 10, skipFrames: 5, minConfidence: 0.8, iouThreshold: 0.3, scoreThreshold: 0.75 },
-    mesh: { enabled: true },
-    iris: { enabled: true },
-    age: { enabled: true, skipFrames: 5 },
-    gender: { enabled: true },
+    mesh: { enabled: false },
+    iris: { enabled: false },
+    age: { enabled: false, skipFrames: 5 },
+    gender: { enabled: false },
   },
-  body: { enabled: true, maxDetections: 5, scoreThreshold: 0.75, nmsRadius: 20 },
-  hand: { enabled: true, skipFrames: 5, minConfidence: 0.8, iouThreshold: 0.3, scoreThreshold: 0.75 },
+  body: { enabled: false, maxDetections: 5, scoreThreshold: 0.75, nmsRadius: 20 },
+  hand: { enabled: false, skipFrames: 5, minConfidence: 0.8, iouThreshold: 0.3, scoreThreshold: 0.75 },
 };
 let settings;
 
@@ -181,10 +181,11 @@ async function runHumanDetect() {
     log.innerText = `
       TFJS Version: ${human.tf.version_core} Memory: ${engine.state.numBytes.toLocaleString()} bytes ${engine.state.numDataBuffers.toLocaleString()} buffers ${engine.state.numTensors.toLocaleString()} tensors
       GPU Memory: used ${engine.backendInstance.numBytesInGPU.toLocaleString()} bytes free ${Math.floor(1024 * 1024 * engine.backendInstance.numMBBeforeWarning).toLocaleString()} bytes
-      Result: Face: ${(JSON.stringify(result.face)).length.toLocaleString()} bytes Body: ${(JSON.stringify(result.body)).length.toLocaleString()} bytes Hand: ${(JSON.stringify(result.hand)).length.toLocaleString()} bytes
+      Result Object Size: Face: ${(JSON.stringify(result.face)).length.toLocaleString()} bytes Body: ${(JSON.stringify(result.body)).length.toLocaleString()} bytes Hand: ${(JSON.stringify(result.hand)).length.toLocaleString()} bytes
     `;
     // rinse & repeate
-    requestAnimationFrame(runHumanDetect);
+    // setTimeout(() => runHumanDetect(), 1000); // slow loop for debugging purposes
+    requestAnimationFrame(runHumanDetect); // immediate loop
   }
 }
 
@@ -242,6 +243,10 @@ async function setupCanvas() {
 
 async function setupCamera() {
   const video = document.getElementById('video');
+  if (!navigator.mediaDevices) {
+    document.getElementById('log').innerText = 'Video not supported';
+    return;
+  }
   const stream = await navigator.mediaDevices.getUserMedia({
     audio: false,
     video: { facingMode: 'user', width: window.innerWidth, height: window.innerHeight },

src/index.js

@@ -33,28 +33,31 @@ function mergeDeep(...objects) {
 async function detect(input, userConfig) {
   const config = mergeDeep(defaults, userConfig);
 
+  // load models if enabled
+  if (config.body.enabled && !models.posenet) models.posenet = await posenet.load(config.body);
+  if (config.hand.enabled && !models.handpose) models.handpose = await handpose.load(config.hand);
+  if (config.face.enabled && !models.facemesh) models.facemesh = await facemesh.load(config.face);
+  if (config.face.age.enabled) await ssrnet.loadAge(config);
+  if (config.face.gender.enabled) await ssrnet.loadGender(config);
+
+  tf.engine().startScope();
+
   // run posenet
   let poseRes = [];
-  if (config.body.enabled) {
-    if (!models.posenet) models.posenet = await posenet.load(config.body);
-    poseRes = await models.posenet.estimateMultiplePoses(input, config.body);
-  }
+  if (config.body.enabled) poseRes = await models.posenet.estimateMultiplePoses(input, config.body);
 
   // run handpose
   let handRes = [];
-  if (config.hand.enabled) {
-    if (!models.handpose) models.handpose = await handpose.load(config.hand);
-    handRes = await models.handpose.estimateHands(input, config.hand);
-  }
+  if (config.hand.enabled) handRes = await models.handpose.estimateHands(input, config.hand);
 
   // run facemesh, includes blazeface and iris
   const faceRes = [];
   if (config.face.enabled) {
-    if (!models.facemesh) models.facemesh = await facemesh.load(config.face);
     const faces = await models.facemesh.estimateFaces(input, config.face);
     for (const face of faces) {
       // run ssr-net age & gender, inherits face from blazeface
       const ssrdata = (config.face.age.enabled || config.face.gender.enabled) ? await ssrnet.predict(face.image, config) : {};
+      face.image.dispose();
       // iris: array[ bottom, left, top, right, center ]
       const iris = (face.annotations.leftEyeIris && face.annotations.rightEyeIris)
         ? Math.max(face.annotations.leftEyeIris[3][0] - face.annotations.leftEyeIris[1][0], face.annotations.rightEyeIris[3][0] - face.annotations.rightEyeIris[1][0])
@@ -71,6 +74,8 @@ async function detect(input, userConfig) {
     }
   }
 
+  tf.engine().endScope();
+
   // combine results
   return { face: faceRes, body: poseRes, hand: handRes };
 }