将OpenCV Mat或Image转换为Tensorflow的NumPy数组

import cv2
import numpy as np
import tensorflow as tf

image = cv2.imread('image.jpg')
image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)  # OpenCV默认使用BGR通道顺序，需转换为RGB顺序
image = cv2.resize(image, (224, 224))  # 调整图像大小为模型所需的输入尺寸

image_np = np.array(image, dtype=np.float32) / 255.0  # 将像素值缩放到0到1之间

image_tensor = tf.convert_to_tensor(image_np)
image_tensor = tf.expand_dims(image_tensor, axis=0)  # 添加批处理维度，使其成为形状为[1, height, width, channels]的张量