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 pose_detection.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.
| Id | Part |
|---|---|
| 0 | nose |
| 1 | leftEye |
| 2 | rightEye |
| 3 | leftEar |
| 4 | rightEar |
| 5 | leftShoulder |
| 6 | rightShoulder |
| 7 | leftElbow |
| 8 | rightElbow |
| 9 | leftWrist |
| 10 | rightWrist |
| 11 | leftHip |
| 12 | rightHip |
| 13 | leftKnee |
| 14 | rightKnee |
| 15 | leftAnkle |
| 16 | rightAnkle |
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