VIBE
b3d_mocap_import
| VIBE | b3d_mocap_import | |
|---|---|---|
| 5 | 1 | |
| 2,802 | 106 | |
| - | - | |
| 0.0 | 1.8 | |
| about 1 year ago | over 2 years ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | - |
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
- 3D reconstruction models for human body
-
Any ghetto Mo'Cap solutions?
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
- My experience using VIBE ( free motion extraction tool for animation )
- Free deep learning tool for extracting animation from videos (link in post)
-
Markerless Motion Capture - Turning Videos into 3D Animations
Another Edit: Here's another one that supports FBX export out of the box: https://github.com/mkocabas/VIBE
b3d_mocap_import
-
My experience using VIBE ( free motion extraction tool for animation )
Regarding installation, I didn't do step 14 and 21 and it worked for me. I also tried to replace steps 17-24 with this addon. It did import VIBE's pickles directly, but they are not usual pickles, so they require to install external dependency joblib to the Blender's bundled Python. And the data inside are numpy objects, so it is not exactly an exchange format you would want to use. However, the addon was unable to import the animations correctly in 2.92, so I gave up on this idea. So I end up registering and downloading the models, then dumped the full Blender's distribution into the venv folder and it worked.
What are some alternatives?
video2bvh - Extracts human motion in video and save it as bvh mocap file.
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
frankmocap - A Strong and Easy-to-use Single View 3D Hand+Body Pose Estimator
openpose - OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
vibe_win_install
AlphaPose - Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
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.
manydepth - [CVPR 2021] Self-supervised depth estimation from short sequences