handpose-facemesh-demos
TFJS-object-detection
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| handpose-facemesh-demos | TFJS-object-detection | |
|---|---|---|
| 3 | 1 | |
| 183 | 124 | |
| - | - | |
| 1.8 | 0.0 | |
| over 3 years ago | over 1 year ago | |
| JavaScript | JavaScript | |
| - | Apache License 2.0 |
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handpose-facemesh-demos
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How to develop a WebAR application to track Faces?
Yes it is. I used it in combination with Three.js. Heres some examples. https://github.com/LingDong-/handpose-facemesh-demos
- Importing .OBJ 3d model to pre-built example project.
- Including OBJLoader and loading a model in pre-built example
TFJS-object-detection
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Cannot read property 'children' of undefined with using Tensorflow Object Detection API model in tfjs
Describe the current behavior I used transfer learning using a pretrained model from the Tensorflow Object Detection API, which i converted to tensorflow-js using the tensorflow-converter API in python. View the ipynb notebook HERE. I then followed @hugozanini's REPO which had a template for using your tensorflow object detection models in javascript; I copied the index.json file and put it into a sandbox, replacing his model.json file with mine. The repo which contains it can be found here
What are some alternatives?
ml5-library - Friendly machine learning for the web! 🤖
FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
q5xjs - A small and fast alternative (experimental) implementation of p5.js
ybat - Ybat - YOLO BBox Annotation Tool
p5.EasyCam - A p5.js library for easy 3D camera control.
sharingan - Real-Time object detection app, built with Tensorflow.js.
teachablemachine-node - Using Teachable Machine Models in Node.js
ear-model-test - ear model test
EyeCommander - An open source computer vision interface that tracks eye movements for individuals with severely-limited mobility.
labelbox-custom-labeling-apps - Explore example custom labeling apps built with Labelbox SDK
nsfwjs - NSFW detection on the client-side via TensorFlow.js
gaze-detection - 👀 Use machine learning in JavaScript to detect eye movements and build gaze-controlled experiences.