VideoFightAnalysis

UFC Video Analysis

UFC Video Analysis is a Python application that analyzes UFC fight videos using computer vision and machine learning. It provides real-time fight statistics, including strikes, takedowns, and annotations for enhanced analysis.

Features

• Object Detection: Detects fighters in video frames using YOLOv8.
• Pose Estimation: Tracks body landmarks with MediaPipe Pose.
• Strike Detection: Identifies strikes based on arm and body movements.
• Takedown Detection: Detects takedowns using body orientation and hip movements.
• Real-Time Visualization: Displays bounding boxes, landmarks, and fight statistics on the video.

Technologies Used

• Python (OpenCV, NumPy)
• YOLOv8 (Ultralytics)
• MediaPipe Pose

Requirements

To run the project, you'll need:

• Python 3.8 or later
• Required libraries:
  • opencv-python
  • mediapipe
  • ultralytics
  • numpy

Setup and Installation

1. Clone the repository:

    git clone https://github.com/AnamolK/VideoFightAnalysis.git
    cd VideoFightAnalysis

Usage

Use any mp4 you desire for the fight data and then place it in the folder. Run the program.

Contributing

Feel free to fork this repository and submit pull requests. If you encounter any bugs or want to request new features, feel free to open an issue!

Help Wanted

• The current model is somewhat glitchy for pose visualization so if someone knows how to implement it better possibly using training, that would be great ( I will try to update this as well)
• Consistent Fighter Tracking
• Current implemntaiton is rudimentary using only visual cues for strikes and takedowns and no ML, would love to collaborate on this project!