Spaces:
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| 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 | |