🦁 Animal Detection Using Thermal Vision 🐾

This Python script utilizes Ultralytics YOLO (You Only Look Once) model to detect animals in a thermal video stream. It draws bounding boxes around detected animal regions, tracks their movement, and activates brakes if an animal is detected crossing a certain threshold.

📋 Requirements

• Python 3.x
• Ultralytics YOLO: You need to download the YOLO model file (yolov8l.pt) from the Ultralytics repository.
• opencv-python: OpenCV library (pip install opencv-python)
• numpy: NumPy library (pip install numpy)

🔧 Usage

1. Download the YOLO model file (yolov8l.pt) from the Ultralytics repository and place it in the same directory as the script.

2. Install the required Python libraries using the provided commands:

   pip install opencv-python numpy

3. Run the script and specify the path to the thermal video file (video_path). here animal.mp4

   YOLOFINAL.py

4. Press 'q' to exit the video stream.

🛠️ Functionality

• Animal Detection: The script uses YOLO to detect animals in the thermal video stream and draws bounding boxes around them.

• Movement Tracking: It tracks the movement of detected animals and calculates the direction of their movement.

• Brake Activation: If an animal is detected moving downwards and close to the center line, the script activates brakes to prevent accidents.

• NOTE: test.mp4 is the final video from camera and animal.mp4 is the original one.