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inference.py

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+"""
+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}")