Keras OCR instance test

keras-ocr

Document address

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Reference article

An introductory in-depth study OCR： A collection of data sets and algorithms

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Error set

1. load Keras When saving the model ,“ AttributeError：‘str’ Object has no properties ’decode’”？

pip install ‘numpy1.19’ --force-reinstall Reload library version
pip install 'h5py2.10.0’ --force-reinstall

2. Win10 conda Environmental Science ,OSError: [WinError 126] The specified module was not found ·

code example

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
#  Identify the default three pictures in a batch , Probably need to reserve 8g Memory , Only two are posted here 
images = [
    keras_ocr.tools.read(url) for url in [
        # 'https://upload.wikimedia.org/wikipedia/commons/b/bd/Army_Reserves_Recruitment_Banner_MOD_45156284.jpg',
        'http://5b0988e595225.cdn.sohucs.com/images/20170905/44ecb27c4e5349e28abcbff8f3a6d4d2.jpeg',
        '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)
# keras_ocr.tools.drawAnnotations(image=images[-1], predictions=prediction_groups[-1], ax=axs)

plt.show()

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design sketch