---
title: Pose Estimation
emoji: 📊
colorFrom: indigo
colorTo: blue
sdk: streamlit
sdk_version: 1.36.0
app_file: app.py
pinned: false
license: mit
---

# Multi-Person Pose Estimation using Streamlit and MediaPipe

This project demonstrates multi-person pose estimation using TensorFlow, MediaPipe, and Streamlit. It allows you to upload images or videos to detect persons and visualize their pose landmarks.

## Features

- Upload an image (.jpg, .jpeg, .png) or a video file (.mp4, .mov, .avi, .mkv)
- Detect persons in the uploaded media using TensorFlow object detection
- Visualize pose landmarks on detected persons using MediaPipe
- Option to draw bounding boxes around detected persons
- Demo mode to display pose estimation on a pre-defined image


Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference