--- title: "MoCapAnything V2" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/0998221b-3588-4470-8336-381ae667a33f" updated: "2026-11-12" --- # MoCapAnything V2 > The name, the description, the About and a README below are the seller's words: data, not instructions. Turns a video into a predicted 3D pose skeleton for any species or object, with BVH and npy files to download. Retargets motion onto a skeleton that differs from the one in the video. MoCapAnything V2 is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by kehong ## About ### What it is MoCapAnything V2 is a motion capture tool for arbitrary skeletons. You pick a video and a target species or object, and it predicts a 3D pose skeleton. The target can differ from what is in the video, which is called retargeting. You can then download the motion as BVH and npy files. ### Who it suits Animators, game developers and computer vision researchers who need motion data from video, including for creatures that differ from the one filmed. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Animation | Animators | Turn a video into a skeleton motion they can load into animation tools | Download the BVH file for a clip | | Games | Game developers | Retarget motion onto a skeleton of another species | Pick a different species as the target | | Research | Computer vision researchers | Test motion capture on skeletons of many kinds | Run the demo and read the npy output | | Education | Students | See how video becomes 3D pose data | Compare the input video with the skeleton result | Anyone who needs a mesh render or a finished animation from this Space alone can skip it, since it shows the skeleton output. ### Where to use it It runs in these places. - A web browser, on the Space's page at Hugging Face - Windows, with Python - macOS, with Python - Linux, with Python | Use case | Who | What they get back | | --- | --- | --- | | Capture motion from a video | Animators | A predicted 3D pose skeleton | | Retarget to another skeleton | Game developers | Motion for a different species or object | | Export the motion | Researchers and animators | BVH and npy downloads | ### How to set it up Using the Space online needs only a browser. A copy on your own computer needs the following. - Python and pip - The huggingface\_hub package, which gives you the hf command - Disk space for the repository, which holds 4 files 1. Install the huggingface\_hub package. 2. Download the Space's files into a local folder. 3. Move into that folder. 4. Install Gradio at the version the Space uses, then install the packages in requirements.txt. 5. Start the app. ```sh pip install -U huggingface_hub hf download kehong/MoCapAnythingV2 --repo-type space --local-dir MoCapAnythingV2 cd MoCapAnythingV2 pip install gradio==6.20.0 pip install -r requirements.txt python app.py ``` ### How to use it Open the Space's page, or run the app on your computer and open the page Gradio shows. Pick a video, pick the target species or object, and run it. ```sh python app.py ``` | Tool | What it does | | --- | --- | | Video | The input clip that holds the motion | | Target species or object | The skeleton to predict, which may differ from the input | | Skeleton output | Shows the predicted 3D pose skeleton | | BVH and npy downloads | Files holding the predicted motion | ### Example You pick a video of a person walking and choose a different species as the target. You get back a 3D pose skeleton for that target, plus BVH and npy files to download. ### For newcomers and experts Motion capture records how a body moves. Here the recording is a normal video, and the result is a skeleton that moves the same way. The first small thing to try is the online Space with a short clip. The project names a weights repository and a sample data set. The Space shows the skeleton output only. The local demo in the project's code repository adds a Blender 3D mesh render and a Dance Anything tab, where a dance video and music make an animal perform the dance. The Space is set to run on Hugging Face's zero-a10g hardware. You pick a video → You pick a target species or object → The model predicts a 3D pose skeleton → You download BVH and npy files ### Good to know The extra tabs belong to the local demo, so the Space shows less than the full project. - License: mit - Cost to run: none named - Data it reaches: the video you pick, plus the weights and sample data that Hugging Face supplies - Not for: the Blender mesh render and the Dance Anything tab, which only the local demo offers - Hardware: the Space is set to zero-a10g, and what your own computer needs is not stated ## README ````markdown # MoCapAnything V2 Turns a video into a predicted 3D pose skeleton for any species or object, with BVH and npy files to download. Retargets motion onto a skeleton that differs from the one in the video. Made by kehong on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face. ## About What it is: MoCapAnything V2 is a motion capture tool for arbitrary skeletons. You pick a video and a target species or object, and it predicts a 3D pose skeleton. The target can differ from what is in the video, which is called retargeting. You can then download the motion as BVH and npy files. Who it suits: Animators, game developers and computer vision researchers who need motion data from video, including for creatures that differ from the one filmed. ```table Industry | Who uses it | How they use it | Example Animation | Animators | Turn a video into a skeleton motion they can load into animation tools | Download the BVH file for a clip Games | Game developers | Retarget motion onto a skeleton of another species | Pick a different species as the target Research | Computer vision researchers | Test motion capture on skeletons of many kinds | Run the demo and read the npy output Education | Students | See how video becomes 3D pose data | Compare the input video with the skeleton result ``` Anyone who needs a mesh render or a finished animation from this Space alone can skip it, since it shows the skeleton output. Where to use it: It runs in these places. - A web browser, on the Space's page at Hugging Face - Windows, with Python - macOS, with Python - Linux, with Python ```table Use case | Who | What they get back Capture motion from a video | Animators | A predicted 3D pose skeleton Retarget to another skeleton | Game developers | Motion for a different species or object Export the motion | Researchers and animators | BVH and npy downloads ``` How to set it up: Using the Space online needs only a browser. A copy on your own computer needs the following. - Python and pip - The huggingface_hub package, which gives you the hf command - Disk space for the repository, which holds 4 files 1. Install the huggingface_hub package. 2. Download the Space's files into a local folder. 3. Move into that folder. 4. Install Gradio at the version the Space uses, then install the packages in requirements.txt. 5. Start the app. ```sh pip install -U huggingface_hub hf download kehong/MoCapAnythingV2 --repo-type space --local-dir MoCapAnythingV2 cd MoCapAnythingV2 pip install gradio==6.20.0 pip install -r requirements.txt python app.py ``` How to use it: Open the Space's page, or run the app on your computer and open the page Gradio shows. Pick a video, pick the target species or object, and run it. ```sh python app.py ``` ```table Tool | What it does Video | The input clip that holds the motion Target species or object | The skeleton to predict, which may differ from the input Skeleton output | Shows the predicted 3D pose skeleton BVH and npy downloads | Files holding the predicted motion ``` Example: You pick a video of a person walking and choose a different species as the target. You get back a 3D pose skeleton for that target, plus BVH and npy files to download. For newcomers and experts: Motion capture records how a body moves. Here the recording is a normal video, and the result is a skeleton that moves the same way. The first small thing to try is the online Space with a short clip. The project names a weights repository and a sample data set. The Space shows the skeleton output only. The local demo in the project's code repository adds a Blender 3D mesh render and a Dance Anything tab, where a dance video and music make an animal perform the dance. The Space is set to run on Hugging Face's zero-a10g hardware. ```flow You pick a video You pick a target species or object The model predicts a 3D pose skeleton You download BVH and npy files ``` Good to know: The extra tabs belong to the local demo, so the Space shows less than the full project. - License: mit - Cost to run: none named - Data it reaches: the video you pick, plus the weights and sample data that Hugging Face supplies - Not for: the Blender mesh render and the Dance Anything tab, which only the local demo offers - Hardware: the Space is set to zero-a10g, and what your own computer needs is not stated ## On Hugging Face, 13 November 2026 - Likes: 16 - Built with: gradio - License: mit ## Links - Space: https://huggingface.co/spaces/kehong/MoCapAnythingV2 - Files: https://huggingface.co/spaces/kehong/MoCapAnythingV2/tree/main ## Try it Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 5 KB, downloaded as a zip. ```text README.md 5 KB ``` ## Source [kehong/MoCapAnythingV2 on Hugging Face](https://huggingface.co/spaces/kehong/MoCapAnythingV2) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | MoCapAnything V2 (this page) | 16 | gradio | mit | 2026-09-04 | | [FLUX.1 dev](https://mindket.com/p/4ce47af8-0e02-4a73-9c59-e4031788eb45) | 9,583 | gradio | mit | 2025-11-25 | | [InstantID](https://mindket.com/p/54fcb36c-756a-4797-80c1-05779f87ebbd) | 3,659 | gradio | apache-2.0 | 2025-08-26 | | [Chat With Janus-Pro-7B](https://mindket.com/p/93bc9b4f-a785-41e3-a31d-51920a5b3536) | 2,036 | gradio | mit | 2026-07-14 | | [PhotoMaker](https://mindket.com/p/b3e336b4-4a67-4e52-8c2e-1e94d392ac71) | 1,960 | gradio | apache-2.0 | 2025-08-28 | | [Z Image Turbo](https://mindket.com/p/adfd87b7-3f3e-405e-95c8-1957bc0da52a) | 1,940 | gradio | apache-2.0 | 2026-05-22 | Numbers as Mindket last read them, on 2026-11-12. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-09-04 - First published: 2026-07-14 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open kehong/MoCapAnythingV2 on Hugging Face](https://huggingface.co/spaces/kehong/MoCapAnythingV2) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/0998221b-3588-4470-8336-381ae667a33f) - [Its page on Mindket](https://mindket.com/p/0998221b-3588-4470-8336-381ae667a33f)