VIBE VS video2bvh

Compare VIBE vs video2bvh and see what are their differences.

VIBE

Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation" (by mkocabas)

video2bvh

Extracts human motion in video and save it as bvh mocap file. (by KevinLTT)
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VIBE video2bvh
5 1
2,802 522
- -
0.0 1.8
about 1 year ago over 3 years ago
Python Python
GNU General Public License v3.0 or later MIT License
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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.

video2bvh

Posts with mentions or reviews of video2bvh. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-13.
  • Any ghetto Mo'Cap solutions?
    3 projects | /r/gamedev | 13 Oct 2021
    there are projects like this and similar, that are able to create motion capture from video: https://github.com/KevinLTT/video2bvh or https://github.com/mkocabas/VIBE

What are some alternatives?

When comparing VIBE and video2bvh you can also consider the following projects:

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

Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time

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

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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

MegaMocapVR - A SteamVR powered mocap solution for Unreal Engine

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

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

smplx - SMPL-X

Keras - Deep Learning for humans

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

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.