tfjs
lightweight-human-pose-estimation.pytorch
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| tfjs | lightweight-human-pose-estimation.pytorch | |
|---|---|---|
| 29 | 2 | |
| 18,110 | 2,022 | |
| 0.7% | - | |
| 8.6 | 0.0 | |
| 7 days ago | about 1 month ago | |
| TypeScript | Python | |
| Apache License 2.0 | Apache License 2.0 |
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tfjs
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JavaScript Libraries for Implementing Trendy Technologies in Web Apps in 2024
TensorFlow.js
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Deep Learning in JavaScript
Many people seem to be unaware of tensorflow.js, an official JS implementation of TF
https://github.com/tensorflow/tfjs
I'd love to see PyTorch in JS, but I think unless you get it running on the GPU it won't be able to do much.
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Machine Learning in NodeJS || Part 1: TensorflowJS Basics
TensorflowJS GitHub Repository
- PyTorch Primitives in WebGPU for the Browser
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I want to talk about WebGPU
Also, Tensorflow.js WebGPU backend has been in the works for quite some time: https://github.com/tensorflow/tfjs/tree/master/tfjs-backend-...
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WebGPU Fundamentals
It's a pity that tfjs never truly developed any decent ops. E.g. you need lgamma to implement the cap for zero-inflated poisson regression and tfjs simply doesn't have that: https://github.com/tensorflow/tfjs/issues/2011
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Chrome Ships WebGPU
People have been doing it for long with WebGL, see eg https://github.com/tensorflow/tfjs and https://cloudblogs.microsoft.com/opensource/2021/09/02/onnx-...
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How to get rotation (yaw/pitch/roll) from face detection keypoints?
thanks, no not unity, going to show it as a demo with threejs + tensorflow on the web. I found a github request to add face orientation https://github.com/tensorflow/tfjs/issues/3835 looks like they assigned someone to add it but doesn't look like its available yet, but there's some posts about the math I can use to get rotations based on some of the landmarks
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[P] Supporting neural network inference in web browsers
There already exist a wide variety of neural network inference engines that run in web browsers (e.g. TensorFlow.js and, my personal favorite for use with PyTorch models, ONNX Runtime Web), but pre- and post-processing has always required imperative manipulations on flat buffers rather than a clean ndarray interface.
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Tensorflow JS model crashing on mobile
Full docs and code: https://github.com/tensorflow/tfjs/tree/master/e2e/benchmarks/local-benchmark
lightweight-human-pose-estimation.pytorch
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Help finding an appropriate model for human pose estimation
Lightweight OpenPose: Runs in realtime >20fps confirmed, training code is provided
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How do I properly dissect a Github repo of a ML model?
Using https://github.com/Daniil-Osokin/lightweight-human-pose-estimation.pytorch as an example (or another repo, that was just one I found), could someone please give me a step by step process of how they read a repo for a research paper?
What are some alternatives?
face-api.js - JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js
BlazePose-tensorflow - A third-party Tensorflow Implementation for paper "BlazePose: On-device Real-time Body Pose tracking".
webhl - WebHL is a fork of hlviewer.js that uses the File System Access API to load game assets direct from your computer rather than from a server.
openpose - OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
AlphaPose - Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
openpifpaf - Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
firecracker - Secure and fast microVMs for serverless computing.
DeepLabCut - Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
hyperformula - HyperFormula is an open-source headless spreadsheet for business web apps. It comes with over 400 formulas, CRUD operations, undo-redo, clipboard support, and sorting. Built in TypeScript, supported by the Handsontable Team.
kapao - KAPAO is an efficient single-stage human pose estimation model that detects keypoints and poses as objects and fuses the detections to predict human poses.