diff --git a/test/test-node-canvas.js b/demo/nodejs/process-folder.js
similarity index 93%
rename from test/test-node-canvas.js
rename to demo/nodejs/process-folder.js
index 8237863c..8a6d4446 100644
--- a/test/test-node-canvas.js
+++ b/demo/nodejs/process-folder.js
@@ -4,16 +4,16 @@ const process = require('process');
 const log = require('@vladmandic/pilogger');
 const canvas = require('canvas');
 const tf = require('@tensorflow/tfjs-node'); // for nodejs, `tfjs-node` or `tfjs-node-gpu` should be loaded before using Human
-const Human = require('../dist/human.node.js'); // this is 'const Human = require('../dist/human.node-gpu.js').default;'
+const Human = require('../../dist/human.node.js'); // this is 'const Human = require('../dist/human.node-gpu.js').default;'
 
 const config = { // just enable all and leave default settings
   debug: true,
   async: false,
   cacheSensitivity: 0,
-  face: { enabled: true },
+  face: { enabled: true, detector: { maxDetected: 20 } },
   object: { enabled: true },
   gesture: { enabled: true },
-  hand: { enabled: true, minConfidence: 0.4, detector: { modelPath: 'handtrack.json' } },
+  hand: { enabled: true },
   body: { enabled: true, modelPath: 'https://vladmandic.github.io/human-models/models/movenet-multipose.json' },
 };
 
diff --git a/samples/README.md b/samples/README.md
index 9e53321c..96198df1 100644
--- a/samples/README.md
+++ b/samples/README.md
@@ -5,8 +5,6 @@ Not required for normal funcioning of library
 
 Samples were generated using command:
 
-```shell
-node test/test-node-canvas.js samples/in/ samples/out/
-```
+> node demo/nodejs/process-folder.js samples/in/ samples/out/
 
 Samples galery viewer: <https://vladmandic.github.io/human/samples/samples.html>
diff --git a/samples/out/ai-body.jpg b/samples/out/ai-body.jpg
index c6631ca3..38df655d 100644
Binary files a/samples/out/ai-body.jpg and b/samples/out/ai-body.jpg differ
diff --git a/samples/out/ai-face.jpg b/samples/out/ai-face.jpg
index 987f747f..458fbed9 100644
Binary files a/samples/out/ai-face.jpg and b/samples/out/ai-face.jpg differ
diff --git a/samples/out/ai-upper.jpg b/samples/out/ai-upper.jpg
index 84dc7ba7..6043508e 100644
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diff --git a/samples/out/group-1.jpg b/samples/out/group-1.jpg
index c282680c..159e41f1 100644
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diff --git a/samples/out/group-2.jpg b/samples/out/group-2.jpg
index 1ac6ed45..12225437 100644
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diff --git a/samples/out/group-3.jpg b/samples/out/group-3.jpg
index 72d7096c..3289e332 100644
Binary files a/samples/out/group-3.jpg and b/samples/out/group-3.jpg differ
diff --git a/samples/out/group-4.jpg b/samples/out/group-4.jpg
index 6e4ddccb..3a97e1d2 100644
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diff --git a/samples/out/group-5.jpg b/samples/out/group-5.jpg
index ab766365..e520b4b6 100644
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diff --git a/samples/out/group-6.jpg b/samples/out/group-6.jpg
index f04f407f..9c5e62dc 100644
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diff --git a/samples/out/group-7.jpg b/samples/out/group-7.jpg
index 44f8986f..fc6b01a0 100644
Binary files a/samples/out/group-7.jpg and b/samples/out/group-7.jpg differ
diff --git a/samples/out/person-celeste.jpg b/samples/out/person-celeste.jpg
index 5bbcd3bd..3b9c6aaf 100644
Binary files a/samples/out/person-celeste.jpg and b/samples/out/person-celeste.jpg differ
diff --git a/samples/out/person-christina.jpg b/samples/out/person-christina.jpg
index c80bb56e..defa3473 100644
Binary files a/samples/out/person-christina.jpg and b/samples/out/person-christina.jpg differ
diff --git a/samples/out/person-lauren.jpg b/samples/out/person-lauren.jpg
index ac06a6f0..ccef5f54 100644
Binary files a/samples/out/person-lauren.jpg and b/samples/out/person-lauren.jpg differ
diff --git a/samples/out/person-lexi.jpg b/samples/out/person-lexi.jpg
index af63cd2e..571b52f6 100644
Binary files a/samples/out/person-lexi.jpg and b/samples/out/person-lexi.jpg differ
diff --git a/samples/out/person-linda.jpg b/samples/out/person-linda.jpg
index 5c2ffa6d..e1298dfa 100644
Binary files a/samples/out/person-linda.jpg and b/samples/out/person-linda.jpg differ
diff --git a/samples/out/person-nicole.jpg b/samples/out/person-nicole.jpg
index e297eaa1..9a26b60d 100644
Binary files a/samples/out/person-nicole.jpg and b/samples/out/person-nicole.jpg differ
diff --git a/samples/out/person-tasia.jpg b/samples/out/person-tasia.jpg
index d1ca2615..fa74ba4e 100644
Binary files a/samples/out/person-tasia.jpg and b/samples/out/person-tasia.jpg differ
diff --git a/samples/out/person-tetiana.jpg b/samples/out/person-tetiana.jpg
index 825a971f..bb0f192c 100644
Binary files a/samples/out/person-tetiana.jpg and b/samples/out/person-tetiana.jpg differ
diff --git a/samples/out/person-vlado.jpg b/samples/out/person-vlado.jpg
index b9f06b1e..c25cc105 100644
Binary files a/samples/out/person-vlado.jpg and b/samples/out/person-vlado.jpg differ
diff --git a/samples/out/person-vlado1.jpg b/samples/out/person-vlado1.jpg
index feb78fc7..7e01b4a1 100644
Binary files a/samples/out/person-vlado1.jpg and b/samples/out/person-vlado1.jpg differ
diff --git a/samples/out/person-vlado5.jpg b/samples/out/person-vlado5.jpg
index b86a211d..53b8a450 100644
Binary files a/samples/out/person-vlado5.jpg and b/samples/out/person-vlado5.jpg differ
diff --git a/samples/samples.html b/samples/samples.html
index deb165b5..eb877450 100644
--- a/samples/samples.html
+++ b/samples/samples.html
@@ -21,12 +21,14 @@
       ::-webkit-scrollbar-track { margin: 3px; }
       .text { margin: 24px }
       .strip { display: flex; width: 100%; overflow-x: auto; overflow-y: hidden; scroll-behavior: smooth; }
-      .thumb { height: 180px; margin: 2px; padding: 2px; }
+      .thumb { height: 180px; margin: 2px; padding: 2px; cursor: grab; }
       .thumb:hover { filter: grayscale(1); transform: scale(1.08); transition : all 0.3s ease; }   
-      .image-container { margin: 24px 3px 3px 3px }
+      .image-container { margin: 24px 3px 3px 3px; cursor: nwse-resize; }
       .image-zoomwidth { max-width: 94vw; }
       .image-zoomheight { max-height: 70vh; }
       .image-zoomfull { max-height: -webkit-fill-available; }
+      .arrow { font-size: 2rem; font-weight: bolder; background: grey; border-radius: 4px; position: fixed; top: 140px; opacity: 65%; cursor: pointer; }
+      .arrow:hover { background: white; color: grey }
     </style>
   </head>
   <body>
@@ -34,6 +36,8 @@
     <div id="strip" class="strip"></div>
     <div class="image-container">
       <img id="image" src="data:image/gif;base64,R0lGODlhAQABAAD/ACwAAAAAAQABAAACADs=" alt="" class="image-zoomwidth" />
+      <div class="arrow" id="arrow-left" style="left: 10px">&lt;</div>
+      <div class="arrow" id="arrow-right" style="right: 10px">&gt;</div>
     </div>
     <script>
       const samples = [
@@ -54,13 +58,14 @@
         else if (image.classList.contains('image-zoomfull')) image.className = 'image-zoomwidth';
       });
       const strip = document.getElementById('strip');
+      document.getElementById('arrow-left').addEventListener('click', () => strip.scrollLeft -= strip.offsetWidth);
+      document.getElementById('arrow-right').addEventListener('click', () => strip.scrollLeft += strip.offsetWidth);
       for (const sample of samples) {
         const el = document.createElement('img');
         el.className = 'thumb';
         el.src = el.title = el.alt = `/samples/in/${sample}`;
         el.addEventListener('click', (evt) => {
           image.src = image.alt = image.title = el.src.replace('/in/', '/out/');
-          console.log(evt);
           strip.scrollLeft = evt.target.offsetLeft - window.innerWidth / 2 + evt.target.offsetWidth / 2;
         });
         strip.appendChild(el);
diff --git a/src/body/movenet.ts b/src/body/movenet.ts
index 5215eefd..f288b02e 100644
--- a/src/body/movenet.ts
+++ b/src/body/movenet.ts
@@ -38,6 +38,26 @@ export async function load(config: Config): Promise<GraphModel> {
   return model;
 }
 
+function createBox(points): [Box, Box] {
+  const x = points.map((a) => a.position[0]);
+  const y = points.map((a) => a.position[1]);
+  const box: Box = [
+    Math.min(...x),
+    Math.min(...y),
+    Math.max(...x) - Math.min(...x),
+    Math.max(...y) - Math.min(...y),
+  ];
+  const xRaw = points.map((a) => a.positionRaw[0]);
+  const yRaw = points.map((a) => a.positionRaw[1]);
+  const boxRaw: Box = [
+    Math.min(...xRaw),
+    Math.min(...yRaw),
+    Math.max(...xRaw) - Math.min(...xRaw),
+    Math.max(...yRaw) - Math.min(...yRaw),
+  ];
+  return [box, boxRaw];
+}
+
 async function parseSinglePose(res, config, image, inputBox) {
   const kpt = res[0][0];
   keypoints.length = 0;
@@ -61,23 +81,8 @@ async function parseSinglePose(res, config, image, inputBox) {
     }
   }
   score = keypoints.reduce((prev, curr) => (curr.score > prev ? curr.score : prev), 0);
-  const x = keypoints.map((a) => a.position[0]);
-  const y = keypoints.map((a) => a.position[1]);
-  const box: Box = [
-    Math.min(...x),
-    Math.min(...y),
-    Math.max(...x) - Math.min(...x),
-    Math.max(...y) - Math.min(...y),
-  ];
-  const xRaw = keypoints.map((a) => a.positionRaw[0]);
-  const yRaw = keypoints.map((a) => a.positionRaw[1]);
-  const boxRaw: Box = [
-    Math.min(...xRaw),
-    Math.min(...yRaw),
-    Math.max(...xRaw) - Math.min(...xRaw),
-    Math.max(...yRaw) - Math.min(...yRaw),
-  ];
   const bodies: Array<Body> = [];
+  const [box, boxRaw] = createBox(keypoints);
   bodies.push({ id: 0, score, box, boxRaw, keypoints });
   return bodies;
 }
@@ -86,39 +91,36 @@ async function parseMultiPose(res, config, image, inputBox) {
   const bodies: Array<Body> = [];
   for (let id = 0; id < res[0].length; id++) {
     const kpt = res[0][id];
-    const score = Math.round(100 * kpt[51 + 4]) / 100;
-    // eslint-disable-next-line no-continue
-    if (score < config.body.minConfidence) continue;
-    keypoints.length = 0;
-    for (let i = 0; i < 17; i++) {
-      const partScore = Math.round(100 * kpt[3 * i + 2]) / 100;
-      if (partScore > config.body.minConfidence) {
-        const positionRaw: Point = [
-          (inputBox[3] - inputBox[1]) * kpt[3 * i + 1] + inputBox[1],
-          (inputBox[2] - inputBox[0]) * kpt[3 * i + 0] + inputBox[0],
-        ];
-        keypoints.push({
-          part: bodyParts[i],
-          score: partScore,
-          positionRaw,
-          position: [Math.trunc(positionRaw[0] * (image.shape[2] || 0)), Math.trunc(positionRaw[0] * (image.shape[1] || 0))],
-        });
+    const totalScore = Math.round(100 * kpt[51 + 4]) / 100;
+    if (totalScore > config.body.minConfidence) {
+      keypoints.length = 0;
+      for (let i = 0; i < 17; i++) {
+        const score = kpt[3 * i + 2];
+        if (score > config.body.minConfidence) {
+          const positionRaw: Point = [
+            (inputBox[3] - inputBox[1]) * kpt[3 * i + 1] + inputBox[1],
+            (inputBox[2] - inputBox[0]) * kpt[3 * i + 0] + inputBox[0],
+          ];
+          keypoints.push({
+            part: bodyParts[i],
+            score: Math.round(100 * score) / 100,
+            positionRaw,
+            position: [
+              Math.round((image.shape[2] || 0) * positionRaw[0]),
+              Math.round((image.shape[1] || 0) * positionRaw[1]),
+            ],
+          });
+        }
       }
+      // const [box, boxRaw] = createBox(keypoints);
+      // movenet-multipose has built-in box details
+      const boxRaw: Box = [kpt[51 + 1], kpt[51 + 0], kpt[51 + 3] - kpt[51 + 1], kpt[51 + 2] - kpt[51 + 0]];
+      const box: Box = [Math.trunc(boxRaw[0] * (image.shape[2] || 0)), Math.trunc(boxRaw[1] * (image.shape[1] || 0)), Math.trunc(boxRaw[2] * (image.shape[2] || 0)), Math.trunc(boxRaw[3] * (image.shape[1] || 0))];
+      bodies.push({ id, score: totalScore, boxRaw, box, keypoints: [...keypoints] });
     }
-    const boxRaw: Box = [kpt[51 + 1], kpt[51 + 0], kpt[51 + 3] - kpt[51 + 1], kpt[51 + 2] - kpt[51 + 0]];
-    bodies.push({
-      id,
-      score,
-      boxRaw,
-      box: [
-        Math.trunc(boxRaw[0] * (image.shape[2] || 0)),
-        Math.trunc(boxRaw[1] * (image.shape[1] || 0)),
-        Math.trunc(boxRaw[2] * (image.shape[2] || 0)),
-        Math.trunc(boxRaw[3] * (image.shape[1] || 0)),
-      ],
-      keypoints: [...keypoints],
-    });
   }
+  bodies.sort((a, b) => b.score - a.score);
+  if (bodies.length > config.body.maxDetected) bodies.length = config.body.maxDetected;
   return bodies;
 }
 
diff --git a/src/face/facemesh.ts b/src/face/facemesh.ts
index 256a9ce6..f9810c1d 100644
--- a/src/face/facemesh.ts
+++ b/src/face/facemesh.ts
@@ -97,7 +97,6 @@ export async function predict(input: Tensor, config: Config): Promise<FaceResult
       tf.dispose(coordsReshaped);
       if (faceConfidence < (config.face.detector?.minConfidence || 1)) {
         box.confidence = faceConfidence; // reset confidence of cached box
-        tf.dispose(face.tensor);
       } else {
         if (config.face.iris?.enabled) rawCoords = await iris.augmentIris(rawCoords, face.tensor, config, inputSize); // augment results with iris
         face.mesh = util.transformRawCoords(rawCoords, box, angle, rotationMatrix, inputSize); // get processed mesh