Deadshot vs FreeMoCap
Deadshot
cjhosken.github.ioFreeMoCap
freemocap.orgSide by side
| Figure | Deadshot | FreeMoCap |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 0 | 2 |
| Spec score · AI Motion Capture Software | 6.9 (#23) | 8.9 (#2) |
| License | The repository lists a GPL-3.0 license. | The download page identifies FreeMoCap as open source licensed under AGPL-3.0. |
| Tracking | The project describes its tracking as AI-powered and real-time. | The software performs markerless full-body 3D tracking with computer-vision algorithms and machine-learning models. |
Plans
In their own words
Deadshot
Deadshot has no write-up on Specifiction yet; its figures are above.
FreeMoCap
FreeMoCap records and reconstructs full-body movement as 3D motion-capture data. It is free, open-source software for researchers, animators, athletes, and creators. Capture can use two or more standard webcams, GoPros, or smartphones; a printed ChArUco board synchronizes camera feeds and defines the 3D coordinate system. Users can also record video offline on mobile devices and import it later for processing. Results can be exported in formats including CSV, FBX, and .blend files. A Blender add-on loads processed recordings into Blender as a rigged skeleton. Processing happens locally, and the homepage says video data does not leave the user's machine. A backend server download supports headless machines, remote capture rigs, and API use. The download page identifies the current release as alpha. Optional anonymous usage pings may include IP address, timestamp, and camera information, but users can disable them in the GUI. The project directs questions to Discord and bug reports or feature requests to GitHub. Its post-hoc guide notes that RTMPose produces 3D data but does not currently have working Blender export.