Run real-time pose estimation in the browser using Mediapipe Library can be used to estimate either a single pose or multiple poses, meaning there is a version of the algorithm that can detect only one person in an image/video and one version that can detect multiple persons in an image/video.

This is a Pure Mediapipe Library implementation of PoseNet. Thank you Google for your flexible and intuitive APIs.

You can use this as standalone mediapipe bundle like this:

Mediapipe Opencv-python flask time

You have to install the required packages, you can do it

via pip pip install -r requirements.txt

or via conda conda env create -f environment.yml

Once you installed all the required packages you can type in the command line from the root folder:

python app.py

and click on the link that the you will see on the prompt.

Either a single pose our multiple poses can be estimated from an image. Each methodology has its own algorithm and set of parameters.

Details for how to run the model are included in the folder. if anything worng please correct me.

Credits for this code go to Google