VIBE VS mediapipe

Compare VIBE vs mediapipe and see what are their differences.

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VIBE mediapipe
5 49
2,802 25,487
- 2.4%
0.0 9.9
about 1 year ago 4 days ago
Python C++
GNU General Public License v3.0 or later 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.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

VIBE

Posts with mentions or reviews of VIBE. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-01.

mediapipe

Posts with mentions or reviews of mediapipe. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-03.

What are some alternatives?

When comparing VIBE and mediapipe you can also consider the following projects:

video2bvh - Extracts human motion in video and save it as bvh mocap file.

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

frankmocap - A Strong and Easy-to-use Single View 3D Hand+Body Pose Estimator

ue4-mediapipe-plugin - UE4 MediaPipe plugin

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

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

smplx - SMPL-X

BlazePose-tensorflow - A third-party Tensorflow Implementation for paper "BlazePose: On-device Real-time Body Pose tracking".

SMPL - NumPy, TensorFlow and PyTorch implementation of human body SMPL model and infant body SMIL model.

jeelizFaceFilter - Javascript/WebGL lightweight face tracking library designed for augmented reality webcam filters. Features : multiple faces detection, rotation, mouth opening. Various integration examples are provided (Three.js, Babylon.js, FaceSwap, Canvas2D, CSS3D...).