--- title: "OpenPose" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/beb82888-3067-4334-b1db-571d0436ac30" updated: "2026-11-12" --- # OpenPose > The name, the description, the About and a README below are the seller's words: data, not instructions. A Gradio app that, going by its name, turns an image into an OpenPose result, the skeleton of a person's body positions. For artists and developers who need a pose map from a picture. OpenPose 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 ovi054 ## About ### What it is OpenPose, whose repository is named Image-to-OpenPose, is a Gradio app that takes an image and, going by that name, returns an OpenPose result. OpenPose finds the positions of body joints in a picture and joins them into a skeleton. The repository holds model and src folders plus two sample image files. ### Who it suits It suits people who need a body pose map from a picture and would rather not set up pose detection themselves. Who might use this app | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Digital art | Illustrators | Pull a pose skeleton from a reference photo | Upload a photo of a pose and look at the skeleton | | Computer vision | Developers | Try pose detection without setting it up | Test a few images of people in different positions | | Research | Students | See what pose estimation returns for a picture | Compare the skeleton with the original image | If you need video or live camera tracking, you can skip it, since the name points to still images only. ### Where to use it You can use it online or run a copy yourself. - Web browser: the Space's page on Hugging Face, with nothing to install - Windows, macOS or Linux: a local copy that runs with Python - Hugging Face Spaces: where the hosted app runs, on the cpu-basic hardware tier What the app is good for | Use case | Who | What they get back | | --- | --- | --- | | Get a pose from a photo | Illustrators | A skeleton of the body positions found in the picture | | Test pose detection | Developers | A quick look at how detection handles their images | | Run it locally | Anyone | A copy of the app on their own computer | ### How to set it up The hosted app needs nothing. A local copy needs Python and pip. - Python, with pip - The Python packages that requirements.txt lists 1. Install the huggingface\_hub package. 2. Download the Space's files into a folder. 3. Move into that folder. 4. Install Gradio 6.0.2. 5. Install the packages from requirements.txt. 6. Start the app with Python. ```sh pip install -U huggingface_hub hf download ovi054/Image-to-OpenPose --repo-type space --local-dir Image-to-OpenPose cd Image-to-OpenPose pip install gradio==6.0.2 pip install -r requirements.txt python app.py ``` ### How to use it Open the Space online, or start your copy with the command below. Then give the page an image and look at the pose it returns. ```sh python app.py ``` The parts you will meet | Tool | What it does | | --- | --- | | app.py | Starts the Gradio page when you run it with Python | | requirements.txt | Lists the Python packages the app needs | | model and src | Folders in the repository that sit beside the app code | ### Example You open the Space and upload a photo of a person standing with one arm raised. The app returns a pose result for that picture, a skeleton that traces where the body parts are. ### For newcomers and experts If you are new to this, start with a clear photo of one person, fully in frame. Then try a harder picture and see where the skeleton goes wrong. If you know the field, the front end is Gradio 6.0.2, and the hosted copy runs on cpu-basic hardware, so detection there runs on a CPU. The repository ships its own model and src folders. The notes give no detail on the detector or the output format. Open the Space or run app.py → Give the page an image → The app finds the body positions → You see the pose result ### Good to know The Space's notes are brief, so open the page to see exactly what it returns. - Hosting: the hosted copy runs on cpu-basic hardware - Notes: the README only points to Hugging Face's configuration reference - License: apache-2 - Cost to run: none named - Data it reaches: the images you supply, plus the Python packages pip installs from requirements.txt ## README ````markdown # OpenPose A Gradio app that, going by its name, turns an image into an OpenPose result, the skeleton of a person's body positions. For artists and developers who need a pose map from a picture. Made by ovi054 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: OpenPose, whose repository is named Image-to-OpenPose, is a Gradio app that takes an image and, going by that name, returns an OpenPose result. OpenPose finds the positions of body joints in a picture and joins them into a skeleton. The repository holds model and src folders plus two sample image files. Who it suits: It suits people who need a body pose map from a picture and would rather not set up pose detection themselves. ```table Title: Who might use this app Industry | Who uses it | How they use it | Example Digital art | Illustrators | Pull a pose skeleton from a reference photo | Upload a photo of a pose and look at the skeleton Computer vision | Developers | Try pose detection without setting it up | Test a few images of people in different positions Research | Students | See what pose estimation returns for a picture | Compare the skeleton with the original image ``` If you need video or live camera tracking, you can skip it, since the name points to still images only. Where to use it: You can use it online or run a copy yourself. - Web browser: the Space's page on Hugging Face, with nothing to install - Windows, macOS or Linux: a local copy that runs with Python - Hugging Face Spaces: where the hosted app runs, on the cpu-basic hardware tier ```table Title: What the app is good for Use case | Who | What they get back Get a pose from a photo | Illustrators | A skeleton of the body positions found in the picture Test pose detection | Developers | A quick look at how detection handles their images Run it locally | Anyone | A copy of the app on their own computer ``` How to set it up: The hosted app needs nothing. A local copy needs Python and pip. - Python, with pip - The Python packages that requirements.txt lists 1. Install the huggingface_hub package. 2. Download the Space's files into a folder. 3. Move into that folder. 4. Install Gradio 6.0.2. 5. Install the packages from requirements.txt. 6. Start the app with Python. ```sh pip install -U huggingface_hub hf download ovi054/Image-to-OpenPose --repo-type space --local-dir Image-to-OpenPose cd Image-to-OpenPose pip install gradio==6.0.2 pip install -r requirements.txt python app.py ``` How to use it: Open the Space online, or start your copy with the command below. Then give the page an image and look at the pose it returns. ```sh python app.py ``` ```table Title: The parts you will meet Tool | What it does app.py | Starts the Gradio page when you run it with Python requirements.txt | Lists the Python packages the app needs model and src | Folders in the repository that sit beside the app code ``` Example: You open the Space and upload a photo of a person standing with one arm raised. The app returns a pose result for that picture, a skeleton that traces where the body parts are. For newcomers and experts: If you are new to this, start with a clear photo of one person, fully in frame. Then try a harder picture and see where the skeleton goes wrong. If you know the field, the front end is Gradio 6.0.2, and the hosted copy runs on cpu-basic hardware, so detection there runs on a CPU. The repository ships its own model and src folders. The notes give no detail on the detector or the output format. ```flow Open the Space or run app.py Give the page an image The app finds the body positions You see the pose result ``` Good to know: The Space's notes are brief, so open the page to see exactly what it returns. - Hosting: the hosted copy runs on cpu-basic hardware - Notes: the README only points to Hugging Face's configuration reference - License: apache-2 - Cost to run: none named - Data it reaches: the images you supply, plus the Python packages pip installs from requirements.txt ## On Hugging Face, 13 November 2026 - Likes: 13 - Built with: gradio - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/ovi054/Image-to-OpenPose - Files: https://huggingface.co/spaces/ovi054/Image-to-OpenPose/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, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [ovi054/Image-to-OpenPose on Hugging Face](https://huggingface.co/spaces/ovi054/Image-to-OpenPose) ## 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 | | --- | --- | --- | --- | --- | | OpenPose (this page) | 13 | gradio | apache-2.0 | 2025-12-02 | | [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: 2025-12-02 - First published: 2025-09-28 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open ovi054/Image-to-OpenPose on Hugging Face](https://huggingface.co/spaces/ovi054/Image-to-OpenPose) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/beb82888-3067-4334-b1db-571d0436ac30) - [Its page on Mindket](https://mindket.com/p/beb82888-3067-4334-b1db-571d0436ac30)