双十一人像分割推荐

import tensorflow as tf
from tensorflow.keras.models import load_model
import numpy as np
from PIL import Image

# 加载预训练模型
model = load_model('path_to_pretrained_unet_model.h5')

def preprocess_image(image_path):
    img = Image.open(image_path).convert('RGB')
    img = img.resize((256, 256))
    img = np.array(img) / 255.0
    img = np.expand_dims(img, axis=0)
    return img

def postprocess_mask(mask):
    mask = np.squeeze(mask)
    mask = np.argmax(mask, axis=-1)
    mask = np.expand_dims(mask, axis=-1)
    return mask

# 预处理图像
image = preprocess_image('path_to_your_image.jpg')

# 进行预测
predicted_mask = model.predict(image)

# 后处理掩码
mask = postprocess_mask(predicted_mask)

# 显示结果
import matplotlib.pyplot as plt
plt.imshow(mask.squeeze(), cmap='gray')
plt.show()