导入keras-ocr触发ValueError报错，求解决方案

按照keras_ocr相关教程操作，从初始步骤就遇到问题，代码如下：

import pandas as pd
import numpy as np
from glob import glob
from tqdm.notebook import tqdm

import matplotlib.pyplot as plt
from PIL import Image

plt.style.use('ggplot')

import keras_ocr

pipeline = keras_ocr.pipeline.Pipeline()
# 运行时提示：Looking for C:\Users\{myusername}\.keras-ocr\craft_mlt_25k.h5

运行后触发如下ValueError报错：

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Cell In[65], line 3
      1 import keras_ocr
----> 3 pipeline = keras_ocr.pipeline.Pipeline()

File c:\Python312\Lib\site-packages\keras_ocr\pipeline.py:22, in Pipeline.__init__(self, detector, recognizer, scale, max_size)
     20     detector = detection.Detector()
     21 if recognizer is None:
---> 22     recognizer = recognition.Recognizer()
     23 self.scale = scale
     24 self.detector = detector

File c:\Python312\Lib\site-packages\keras_ocr\recognition.py:388, in Recognizer.__init__(self, alphabet, weights, build_params)
    381 self.alphabet = alphabet
    382 self.blank_label_idx = len(alphabet)
    383 (
    384     self.backbone,
    385     self.model,
    386     self.training_model,
    387     self.prediction_model,
---> 388 ) = build_model(alphabet=alphabet, **build_params)
    389 if weights is not None:
    390     weights_dict = PRETRAINED_WEIGHTS[weights]
...
       [0., 0., 0., 0., 0., 0.],
       [0., 0., 0., 0., 0., 0.],
       [0., 0., 0., 0., 0., 0.],
       [0., 0., 0., 0., 0., 0.],
       [0., 0., 0., 0., 0., 0.]], dtype=float32), array([1., 0., 0., 0., 1., 0.], dtype=float32)]}
Output is truncated. View as a scrollable element or open in a text editor. Adjust cell output settings...

已尝试的解决手段：

• 通过Anaconda Navigator环境重装keras
• 在项目虚拟环境及全局环境中用pip重装keras-ocr
• 更换Python、tensorflow、keras版本
• 移除tensorflow单独使用keras-ocr

上述操作均未解决问题。

内容的提问来源于stack exchange，提问作者Yanislav Yanakiev