13、图像分类与目标检测：深度学习模型解析

图像分类与目标检测：深度学习模型解析

1. 图像分类基础

在图像分类领域，我们可以使用OpenCV DNN结合MobileNet架构进行图像分类。以下是相关代码示例：

#  Import  necessary  libraries
import os
import numpy as np
import cv2

# File paths to the MobileNetV2 model weights and class names
imagenet_classes_filepath = "../weights/7/ILSVRC2012.txt"
mobilenetv2_weights_filepath = "../weights/7/mobilenet/mobilenetv2.pb"

# Shape of the input image expected by the MobileNetV2 model
mobilenetv2_shape = (224, 224)

# Function to decode and format the predicted labels
def decode_predictions(predictions, class_names, top=5):
    results = []
    top_indices = predictions[0].argsort()[-top:][::-1]
    for i in top_indices:
        result = class_names[i] + ": " + str(predictions[0][i])
        results.