图片字体识别字体查询

import cv2
import tensorflow as tf

# 加载预训练的字体识别模型
model = tf.keras.models.load_model('font_recognition_model.h5')

def preprocess_image(image_path):
    img = cv2.imread(image_path)
    img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    img = cv2.resize(img, (128, 128))  # 调整图像大小以适应模型输入
    img = img / 255.0  # 归一化像素值
    return img

def recognize_font(image_path):
    img = preprocess_image(image_path)
    img = tf.expand_dims(img, axis=0)  # 增加批次维度
    predictions = model.predict(img)
    font_name = decode_predictions(predictions)  # 自定义函数，根据预测结果解码字体名称
    return font_name

# 示例调用
font_name = recognize_font('example_image.jpg')
print(f"识别出的字体为：{font_name}")