https://github.com/sonu275981/pose-detection-by-using-mediapipe-library
Human Pose Detection by Google MediaPipe using flask and OpenCV.
https://github.com/sonu275981/pose-detection-by-using-mediapipe-library
body-tracking flask-application google-mediapipe mediapi opencv pose-estimation pose-tracking
Last synced: about 1 month ago
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Human Pose Detection by Google MediaPipe using flask and OpenCV.
- Host: GitHub
- URL: https://github.com/sonu275981/pose-detection-by-using-mediapipe-library
- Owner: sonu275981
- Created: 2021-10-28T17:15:32.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2021-10-30T13:27:38.000Z (over 3 years ago)
- Last Synced: 2025-03-27T11:51:19.881Z (about 2 months ago)
- Topics: body-tracking, flask-application, google-mediapipe, mediapi, opencv, pose-estimation, pose-tracking
- Language: HTML
- Homepage:
- Size: 7.81 KB
- Stars: 12
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Pose Detection by using Mediapipe
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.
## Technologies
You can use this as standalone mediapipe bundle like this:
Mediapipe
Opencv-python
flask
time
## Installation
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.
## Usage
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 |
## Developing the Model for demos
Details for how to run the model are included in the folder.
if anything worng please correct me.
## Credits
Credits for this code go to Google