VideoPose3D
3DMPPE_POSENET_RELEASE
VideoPose3D | 3DMPPE_POSENET_RELEASE | |
---|---|---|
6 | 1 | |
3,435 | 791 | |
- | - | |
0.0 | 0.0 | |
over 1 year ago | almost 2 years ago | |
Python | Python | |
GNU General Public License v3.0 or later | MIT License |
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.
VideoPose3D
-
[P] How To Train NPCs With Video? VR Badminton Project
for the pose estimation itself you might want to look at something like this https://github.com/facebookresearch/VideoPose3D
-
Human Pose Estimation Technology Capabilities and Use Cases in 2022
Depending on the chosen algorithm, the HPE system will provide different performance and accuracy results. Let’s see how they correlate in terms of our experiment with two of the most popular human pose estimation models, VideoPose3D and BlazePose.
- [D] Anyone able to reproduce cpn detection results from PoseFormer or VideoPose3D?
-
Research Help
One thing you can start with is just extracting poses from fencing matches. There are libraries out there that your can download and implement, here's one that popped from a quick search: https://github.com/facebookresearch/VideoPose3D (figure skating example)
- Turning 3d scan into tool for animation and mocap with hand made poses
-
Human Pose Estimation Technology 2021 Guide
Source
3DMPPE_POSENET_RELEASE
What are some alternatives?
PoseFormer - The project is an official implementation of our paper "3D Human Pose Estimation with Spatial and Temporal Transformers".
openpifpaf - Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
realtime-2D-to-3D-faces - Reconstructing real-time 3D faces from 2D images using deep learning.
Lifting-from-the-Deep-release - Implementation of "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image"
pifuhd - High-Resolution 3D Human Digitization from A Single Image.
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.
metrabs - Estimate absolute 3D human poses from RGB images.