OpenPose

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.

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

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.

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.

python app.py

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.

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.