ValueError:输入0与层mobilenetv2_1.00_224不兼容:预期的shape=(None，224,224，3)，找到的shape=(None，224,224，4)

import tensorflow as tf

# 假设input_tensor是你的输入张量，形状为(None, 224, 224, 4)
input_tensor = input_tensor[..., :3]  # 只保留前三个通道

def preprocess_image(image):
    if image.shape[-1] == 4:
        image = image[..., :3]
    return image

# 在数据加载管道中使用这个函数
dataset = dataset.map(lambda x: (preprocess_image(x[0]), x[1]))

from tensorflow.keras.preprocessing.image import img_to_array

def preprocess_input(x):
    x = img_to_array(x)
    if x.shape[-1] == 4:
        x = x[..., :3]
    return x

import tensorflow as tf
from tensorflow.keras.applications.mobilenet_v2 import MobileNetV2

# 加载模型
model = MobileNetV2(weights='imagenet')

# 假设你有一个形状为(None, 224, 224, 4)的输入张量
input_tensor = tf.random.uniform((1, 224, 224, 4))

# 预处理输入数据
input_tensor = input_tensor[..., :3]

# 进行预测
predictions = model.predict(input_tensor)
print(predictions)