| | from abc import ABC, abstractmethod |
| |
|
| | class BaseInference(ABC): |
| | """ |
| | Abstract base class for all model inference wrappers. |
| | All model inference classes should inherit from this class and implement the infer() method. |
| | """ |
| |
|
| | @abstractmethod |
| | def infer(self, image, confidence=0.5, use_nms=False, nms_thresh=0.7): |
| | """ |
| | Run inference on a given image. |
| | |
| | Args: |
| | image (np.ndarray): Input image in BGR format. |
| | confidence (float): Confidence threshold. |
| | use_nms (bool): Whether to apply Non-Maximum Suppression. |
| | nms_thresh (float): IoU threshold for NMS. |
| | |
| | Returns: |
| | sv.Detections: Object containing bounding boxes, class IDs, and confidence scores. |
| | """ |
| | pass |
| | |