paddleocr图片高精度识别

 1、下载准备

下载whl文件 

• 首先先下载whl文件，以下是whl文件的下载网站

https://www.lfd.uci.edu/~gohlke/pythonlibs/#lxmlhttps://www.lfd.uci.edu/~gohlke/pythonlibs/#lxml

•  进入网站后找到和自己python版本相同的whl文件

• 将文件下载好了之后，在terminal中使用pip将此文件下载到python中 

pip install F:\pythonproject\python_Levenshtein\python_Levenshtein-0.12.0-cp38-cp38-win_amd64.whl 

下载paddleocr

在Terminal中输入如下命令进行安装 

pip install -i https://pypi.tuna.tsinghua.edu.cn/simple paddleocr 

下载paddlepaddle

在Terminal中输入如下命令进行安装 

pip install -i https://pypi.tuna.tsinghua.edu.cn/simple paddlepaddle

2、代码测试 

打印识别结果 

• 目标图片

 

from paddleocr import PaddleOCR, draw_ocr
from PIL import Image


ocr = PaddleOCR(use_angle_cls=True, lang="ch")  # need to run only once to download and load model into memory
img_path = 'F:/识别/1.jpg'
result = ocr.ocr(img_path, cls=True)
for line in result:
    print(line)

•  识别结果

 识别结果保存成图片

from paddleocr import PaddleOCR, draw_ocr
from PIL import Image


ocr = PaddleOCR(use_angle_cls=True, lang="ch")
img_path = 'F:/识别/照片1.png'
result = ocr.ocr(img_path, cls=True)
for line in result:
    print(line)

image = Image.open(img_path).convert('RGB')
boxes = [line[0] for line in result]
txts = [line[1][0] for line in result]
scores = [line[1][1] for line in result]
im_show = draw_ocr(image, boxes, txts, scores)
im_show = Image.fromarray(im_show)
im_show.save('1.jpg')

•  结果如下