video2bvh VS VIBE

Compare video2bvh vs VIBE and see what are their differences.

video2bvh

Extracts human motion in video and save it as bvh mocap file. (by KevinLTT)

VIBE

Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation" (by mkocabas)
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video2bvh VIBE
1 5
544 2,802
- -
1.8 0.0
over 3 years ago about 1 year ago
Python Python
MIT License GNU General Public License v3.0 or later
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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

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.

What are some alternatives?

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

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

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

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

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

MegaMocapVR - A SteamVR powered mocap solution for Unreal Engine

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

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

Keras - Deep Learning for humans

smplx - SMPL-X

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.