BlazePose-tensorflow VS tfjs-models

Compare BlazePose-tensorflow vs tfjs-models and see what are their differences.

BlazePose-tensorflow

A third-party Tensorflow Implementation for paper "BlazePose: On-device Real-time Body Pose tracking". (by jiang-du)
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BlazePose-tensorflow tfjs-models
1 50
109 13,716
- 1.3%
2.6 8.0
over 3 years ago 4 days ago
Python TypeScript
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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BlazePose-tensorflow

Posts with mentions or reviews of BlazePose-tensorflow. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-29.

tfjs-models

Posts with mentions or reviews of tfjs-models. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-30.

What are some alternatives?

When comparing BlazePose-tensorflow and tfjs-models you can also consider the following projects:

lightweight-human-pose-estimation.pytorch - Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.

mediapipe - Cross-platform, customizable ML solutions for live and streaming media.

openpose - OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

ml5-library - Friendly machine learning for the web! 🤖

AlphaPose - Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System

tensorflow-bodypix-sample

tfjs - A WebGL accelerated JavaScript library for training and deploying ML models.

deep-high-resolution-net.pytorch - The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

fingerpose - TFJS based finger pose classifier for hand landmarks detected by the MediaPipe Handpose model