当我使用YOLO V3时，如何将检测到的对象名称保存为.txt文件？

import numpy as np
import cv2
import matplotlib.pyplot as plt

net = cv2.dnn.readNetFromDarknet(config_path, weights_path)

classes = []
with open(classes_path, "r") as f:
    classes = [line.strip() for line in f.readlines()]

image = cv2.imread(image_path)
blob = cv2.dnn.blobFromImage(image, 1/255.0, (416, 416), swapRB=True, crop=False)

net.setInput(blob)
layer_names = net.getLayerNames()
output_layers = [layer_names[i[0] - 1] for i in net.getUnconnectedOutLayers()]
outs = net.forward(output_layers)

objects = []
for out in outs:
    for detection in out:
        scores = detection[5:]
        class_id = np.argmax(scores)
        confidence = scores[class_id]
        if confidence > confidence_threshold:
            objects.append(classes[class_id])

with open(output_path, "w") as f:
    for obj in objects:
        f.write(obj + "\n")