This is the Windows app named VideoPose3D whose latest release can be downloaded as VideoPose3Dsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named VideoPose3D with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start any OS OnWorks online emulator from this website, but better Windows online emulator.
- 5. From the OnWorks Windows OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application and install it.
- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.
Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.
SCREENSHOTS
Ad
VideoPose3D
DESCRIPTION
VideoPose3D is a deep learning framework that reconstructs 3D human poses from 2D keypoint sequences extracted from videos. It builds on top of convolutional and temporal networks that map 2D joint coordinates over time to consistent 3D skeletons, enabling robust motion capture without specialized sensors. The model is trained on large motion capture datasets and can generalize well to unseen environments by leveraging temporal context for smoothing and error correction. By using only 2D detections (such as those from OpenPose or Detectron), it enables markerless 3D pose estimation with relatively lightweight computational requirements. The framework includes pretrained models, data preprocessing utilities, visualization tools, and evaluation scripts for standard benchmarks like Human3.6M. VideoPose3D has been used widely in computer vision research for human motion understanding, activity recognition, and animation generation.
Features
- End-to-end 3D human pose reconstruction from 2D keypoints
- Temporal convolutional architecture for smooth and consistent trajectories
- Compatible with OpenPose and other 2D keypoint detectors
- Pretrained models and evaluation scripts on standard datasets
- Visualization and data augmentation utilities
- Lightweight implementation optimized for real-time inference
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/videopose3d.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
