字符识别easyocr

#识别单张图片+显示+保存
#!-*-coding:utf-8-*-

import easyocr
import cv2
import time
reader=easyocr.Reader(['ch_sim','en'])
img=cv2.imread('test (1).jpg')
result=reader.readtext(img)

color=(0,0,255)
thick=3
for res in result:
    print(res)
    pos = res[0]
    text = res[1]
    for p in [(0,1),(1,2),(2,3),(3,0)]:
        cv2.line(img,tuple(pos[p[0]]),tuple(pos[p[1]]),color,thick)
        cv2.putText(img, text,(pos[0][0]+10,pos[0][1]-10), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255))
cv2.imshow('result',img)
time.sleep(10)
cv2.imwrite('bx-road-poetry.jpg',img)

#识别文件夹中的所有图片并保存
import easyocr
import cv2
import time
import os
reader=easyocr.Reader(['ch_sim','en'])

parent_path="./images/license_plate_test/"
for filename in os.listdir(parent_path):
    print(filename)
    path=os.path.join(parent_path,filename)
    img=cv2.imread(path)
    #img=cv2.imread('test (1).jpg')
    result=reader.readtext(img)

    color=(0,0,255)
    thick=3
    for res in result:
        print(res)
        pos = res[0]
        text = res[1]
        for p in [(0,1),(1,2),(2,3),(3,0)]:
            cv2.line(img,tuple(pos[p[0]]),tuple(pos[p[1]]),color,thick)
            cv2.putText(img, text,(pos[0][0]+10,pos[0][1]-10), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255))
    #cv2.imshow('result',img)
    #time.sleep(10)
    cv2.imwrite("./reultimg/"+filename,img)

conda create easyocr

conda activate easyocr

pip install easyocr

pip install torch torchvision torchaudio

版本：

torch==1.5.1

torchvision==0.4.1

easyocr==1.4.2

注意版本问题，多次修改版本安装，以上版本可正常运行代码。

show的时候中文字符显示有问题，是OpenCV不支持中文字符的展示，需要对其转码。