Who should use Video To MMPose?

Video To MMPose is a B2B product built for researchers, developers, and motion analysts.

Does Video To MMPose have a free plan?

Yes — Video To MMPose is free to use.

What platforms does Video To MMPose run on?

Video To MMPose runs on the web. It can also be self-hosted.

Is Video To MMPose still maintained?

Unverified. Video To MMPose has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.

What are alternatives to Video To MMPose?

Similar projects tracked by PulseGate include Video to DensePose, MS Image2Video, and PoseMaker.

Who makes Video To MMPose?

Video To MMPose is developed by fffiloni.

When did Video To MMPose launch?

Video To MMPose first shipped in 2023.

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Video To MMPose

Name: Video To MMPose
Author: fffiloni

huggingface.coVideo editing

Video To MMPose is a web-based tool that extracts human poses from uploaded videos using AI-powered pose estimation models. It provides visualization and downloadable results for researchers, developers, and motion analysts.

FreeWebSelf-hostedCloud-managed

Visit huggingface.co

Overview

5 features

In the Video editing space, Video To MMPose takes a focused approach. It focuses on extracting and analyzing human poses from video footage using AI models. It is built as a B2B product for researchers, developers, and motion analysts. Video To MMPose costs nothing to use. It runs on the web, and it can be self-hosted.

Behind Video To MMPose is fffiloni, and it first shipped in 2023. Key capabilities include pose estimation, video upload, and result visualization.

Summary written by a language model from the project’s public pages.

Pose estimation
Video upload
Result visualization
AI model integration
Downloadable output

Built with & integrations

Hosting

AWS

AI providers

local_oss

Runs on

BrowserSelf-hostedCloud-managed

Detected from

AWS: x-amz-cf-id header · x-amz-cf-pop header · via header
local_oss: huggingface in the HTML

Trust & compliance

Verified signals

HTTPSFree tier

Indexing history

What PulseGate has recorded for this listing

Indexed10 Jul · 23:58 UTC
fffiloni/video2mmpose verified against its public source
Source: PulseGate · Open

Frequently asked questions about Video To MMPose

What is Video To MMPose?: Video To MMPose focuses on extracting and analyzing human poses from video footage using AI models. It is catalogued under Video editing on PulseGate.
Who should use Video To MMPose?: Video To MMPose is a B2B product built for researchers, developers, and motion analysts.
Does Video To MMPose have a free plan?: Yes — Video To MMPose is free to use.
What platforms does Video To MMPose run on?: Video To MMPose runs on the web. It can also be self-hosted.
Is Video To MMPose still maintained?: Unverified. Video To MMPose has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
What are alternatives to Video To MMPose?: Similar projects tracked by PulseGate include Video to DensePose, MS Image2Video, and PoseMaker.Video to DensePose MS Image2Video PoseMaker
Who makes Video To MMPose?: Video To MMPose is developed by fffiloni.
When did Video To MMPose launch?: Video To MMPose first shipped in 2023.

At a glance

Platforms: Web
Languages: English
Built for: Researchers, developers, and motion analysts
Model: B2B
Solves: Extracting and analyzing human poses from video footage using AI models.

Registered as

Hugging Face Spaces: fffiloni/video2mmpose

Developer

fffiloni

Index record

Indexed: 10 Jul 2026
Lifecycle: Alive
Last seen: 10 Jul 2026

Identity audit (12)

Slug: fffiloni-video2mmpose-huggingface-co
Lifecycle last checked: 8 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 10 Jul 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Derived from the project's own page and URL.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Canonical URL: https://huggingface.co/spaces/fffiloni/video2mmpose

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