About

• Official site with online demo: https://www.jaided.ai/easyocr/
• Installation Guide: https://www.jaided.ai/easyocr/install/
• Tutorial: https://www.jaided.ai/easyocr/tutorial/

Installation

Install python3 and pip3

sudo apt install python3-pip

Install EasyOCR, this will take a long time for downloading around 1GiB files

q3w:~$ pip install easyocr
Defaulting to user installation because normal site-packages is not writeable
Collecting easyocr
  WARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'NewConnectionError('<pip._vendor.urllib3.connection.HTTPSConnection object at 0x7f42ce149930>: Failed to establish a new connection: [Errno 101] Network is unreachable')': /packages/bc/7f/389e1a886ff219682b5a56ea84f91ed785999665ac9ec1f220c7fdcd150f/easyocr-1.6.2-py3-none-any.whl
  Downloading easyocr-1.6.2-py3-none-any.whl (2.9 MB)
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Collecting numpy
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Requirement already satisfied: PyYAML in /usr/lib/python3/dist-packages (from easyocr) (5.4.1)
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Requirement already satisfied: Pillow in /usr/lib/python3/dist-packages (from easyocr) (9.0.1)
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Requirement already satisfied: requests in /usr/lib/python3/dist-packages (from torchvision>=0.5->easyocr) (2.25.1)
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Collecting tifffile>=2019.7.26
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...

Usage

It will download the trained data in the first run

$ python3
Python 3.10.6 (main, Aug 10 2022, 11:40:04) [GCC 11.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import easyocr
>>> reader = easyocr.Reader(['ch_sim','en'])
CUDA not available - defaulting to CPU. Note: This module is much faster with a GPU.
Downloading detection model, please wait. This may take several minutes depending upon your network connection.
Progress: |██████████████████████████████████████████████████| 100.0% CompleteDownloading recognition model, please wait. This may take several minutes depending upon your network connection.
Progress: |██████████████████████████████████████████████████| 100.0% Complete>>> 

Recognize

# 带坐标
result = reader.readtext('Documents/fp01.png')

# 不带坐标, 合并相邻text box
result = reader.readtext('Documents/tu01.jpg', detail = 0, paragraph=True)
print(result)

Performance

• Speed is slow when using CPU
• The correct rate is good when extracting text from e-print or screenshot pictures
• The correct rate drops a lot when handling the photos taken by a cellphone

Reference

• https://analyticsindiamag.com/hands-on-tutorial-on-easyocr-for-scene-text-detection-in-images/

原文地址：http://www.cnblogs.com/milton/p/16844171.html