I created the Human-Pose-Estimation repository on my GitHub in February 2025. It is a Python project (5 stars) that detects human poses in images and videos using a pre‑trained TensorFlow model and offers a Streamlit‑based web interface for interactive use.
The repository is written in Python.
It has received 5 stars on GitHub.
The repository was created in 2025‑02.
It was last updated in 2025‑02.
The model file used is graph_opt.pb.
The model is optimized for real‑time inference on CPU & GPU.
The primary interface is a Streamlit web app.
streamlit run estimation_app.py
python pose_estimation.py --image_path path/to/your/image.jpg
python pose_estimation_Video.py --video_path path/to/your/video.mp4
python estimation_app.py
Processed images and videos are saved in the output/ folder.
Dependencies are installed with pip install -r requirements.txt.