keras-ocr pypi 示例显示 ValueError

Question

我第一次设置 keras ocr，想运行文档中的示例 。

我已经通过pip安装了ocr(0.9.3)和tensorflow(2.16.1) 这是代码

import matplotlib.pyplot as plt

import keras_ocr

# keras-ocr will automatically download pretrained
# weights for the detector and recognizer.
pipeline = keras_ocr.pipeline.Pipeline()

# Get a set of three example images
images = [
    keras_ocr.tools.read(url) for url in [
        'https://upload.wikimedia.org/wikipedia/commons/b/bd/Army_Reserves_Recruitment_Banner_MOD_45156284.jpg',
        'https://upload.wikimedia.org/wikipedia/commons/e/e8/FseeG2QeLXo.jpg',
        'https://upload.wikimedia.org/wikipedia/commons/b/b4/EUBanana-500x112.jpg'
    ]
]

# Each list of predictions in prediction_groups is a list of
# (word, box) tuples.
prediction_groups = pipeline.recognize(images)

# Plot the predictions
fig, axs = plt.subplots(nrows=len(images), figsize=(20, 20))
for ax, image, predictions in zip(axs, images, prediction_groups):
    keras_ocr.tools.drawAnnotations(image=image, predictions=predictions, ax=ax)

这是错误

2024-03-12 12:24:06.949452: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2024-03-12 12:24:07.386269: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
Looking for D:\users\xxx\.keras-ocr\craft_mlt_25k.h5
2024-03-12 12:24:08.845546: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
WARNING:tensorflow:From D:\users\xxx\PycharmProjects\pytorch\.venv\Lib\site-packages\keras\src\backend\tensorflow\core.py:174: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.

Traceback (most recent call last):
  File "D:\users\xxx\PycharmProjects\pytorch\pytorch.py", line 7, in <module>
    pipeline = keras_ocr.pipeline.Pipeline()
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\users\xxx\PycharmProjects\pytorch\.venv\Lib\site-packages\keras_ocr\pipeline.py", line 22, in __init__
    recognizer = recognition.Recognizer()
                 ^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\users\xxx\PycharmProjects\pytorch\.venv\Lib\site-packages\keras_ocr\recognition.py", line 388, in __init__
    ) = build_model(alphabet=alphabet, **build_params)
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\users\xxx\PycharmProjects\pytorch\.venv\Lib\site-packages\keras_ocr\recognition.py", line 277, in build_model
    locnet_y = keras.layers.Dense(
               ^^^^^^^^^^^^^^^^^^^
  File "D:\users\xxx\PycharmProjects\pytorch\.venv\Lib\site-packages\keras\src\layers\core\dense.py", line 85, in __init__
    super().__init__(activity_regularizer=activity_regularizer, **kwargs)
  File "D:\users\xxx\PycharmProjects\pytorch\.venv\Lib\site-packages\keras\src\layers\layer.py", line 265, in __init__
    raise ValueError(
ValueError: Unrecognized keyword arguments passed to Dense: {'weights': [array([[0., 0., 0., 0., 0., 0.],
       [0., 0., 0., 0., 0., 0.],

我尝试用谷歌搜索东西，但据我所知，根据版本，我不应该有问题。我不希望 pypi 示例中出现错误的代码。 知道我在环境设置过程中可能会犯哪些错误吗？

Answer 1

我遇到了同样的问题，keras-ocr 在我的系统上无法按预期工作，特别是在使用最新版本的 TensorFlow - 2.16.1（2024 年 3 月 9 日发布）时。经过大量排查后，我发现问题似乎与 keras-ocr 与此版本 TensorFlow 的交互方式有关。

我设法通过将 TensorFlow 降级到更新前的最后一个稳定版本来解决该问题：

pip install --force-reinstall -v "tensorflow==2.15.1" 在 keras-ocr 或 TensorFlow 中发布官方修复之前，此解决方法应该会有所帮助。值得注意的是，TensorFlow 官方

仅支持 Python 版本 3.9 至 3.11。如果您在此之后仍然遇到问题并且使用的版本超出此范围，请考虑降级您的 Python 版本。