inference.py

"""
Football Field Detection Model - Roboflow Inference Wrapper
"""

from inference import get_model
import os

class FootballFieldDetector:
    """Wrapper for Roboflow football field keypoint detection model"""
    
    def __init__(self, api_key: str):
        """
        Initialize the field detection model
        
        Args:
            api_key: Your Roboflow API key
        """
        self.model_id = "football-field-detection-f07vi/14"
        self.model = get_model(model_id=self.model_id, api_key=api_key)
        
    def predict(self, image, confidence: float = 0.3):
        """
        Detect field keypoints
        
        Args:
            image: Image as numpy array or path to image
            confidence: Confidence threshold (0.0-1.0)
            
        Returns:
            Keypoint detection results
        """
        result = self.model.infer(image, confidence=confidence)[0]
        return result

# Example usage:
if __name__ == "__main__":
    import os
    
    # Set your API key
    api_key = os.getenv("ROBOFLOW_API_KEY")
    
    # Initialize detector
    detector = FootballFieldDetector(api_key=api_key)
    
    # Run inference
    results = detector.predict("path/to/image.jpg", confidence=0.3)
    print(f"Detected keypoints: {results}")