inference/models/yolov5/yolov5_object_detection.py

from typing import Tuple

import numpy as np

from inference.core.models.object_detection_base import (
    ObjectDetectionBaseOnnxRoboflowInferenceModel,
)


class YOLOv5ObjectDetection(ObjectDetectionBaseOnnxRoboflowInferenceModel):
    """Roboflow ONNX Object detection model (Implements an object detection specific infer method).

    This class is responsible for performing object detection using the YOLOv5 model
    with ONNX runtime.

    Attributes:
        weights_file (str): Path to the ONNX weights file.
    """

    @property
    def weights_file(self) -> str:
        """Gets the weights file for the YOLOv5 model.

        Returns:
            str: Path to the ONNX weights file.
        """
        return "yolov5s_weights.onnx"

    def predict(self, img_in: np.ndarray, **kwargs) -> Tuple[np.ndarray]:
        """Performs object detection on the given image using the ONNX session.

        Args:
            img_in (np.ndarray): Input image as a NumPy array.

        Returns:
            Tuple[np.ndarray]: NumPy array representing the predictions.
        """
        predictions = self.onnx_session.run(None, {self.input_name: img_in})[0]
        return (predictions,)