Vovsoft OCR Reader can easily digitize image files and scanned documents. This application utilizes Tesseract OCR engine, which supports more than 100 languages.
Wondering how to get text from an image using OCR but not sure where to begin? Learn how you can use OCR technology to transform text from image files into editable PDF documents. It’s possible to scan documents into many different formats, including images. And because image files are ...
reader = easyocr.Reader(['en','ch']) #读取图像文件 img_path ='/path/to/image.png' img = easyocr.imgproc.read(img_path) #进行OCR识别 result = reader.readtext(img) #输出识别结果 forlineinresult:print(line) MMOCR 官方地址:https://github.com/open-mmlab/mmocr pip install mmocr 使用示例...
# python 命令行中使用>>>from pprintimportpprint # 方便格式化输出>>>importeasyocr>>>reader=easyocr.Reader(['ch_sim','en'])CUDAnot available-defaulting toCPU.Note:This module is much fasterwithaGPU.>>>result=reader.readtext('00e336dbde464c809ef1f6ea568d4621.png')>>>pprint(result)[([[...
importeasyocr#初始化OCR识别器reader=easyocr.Reader(['en','ch'])#读取图像文件img_path='/path/to/image.png'img=easyocr.imgproc.read(img_path)#进行OCR识别result=reader.readtext(img)#输出识别结果forlineinresult:print(line) 1. 2. 3.
注:reader = easyocr.Reader(['ch_sim','en'])用于将模型加载到内存中。需要联网下载模型,但只需运行一次,如果网络不好,可以按照以下说明,手动下载模型。 #模型下载地址 首先下载文本检测模型: 下载识别模型,识别模型对应了各种语言包,下图是简体中文和英文的识别模型: 如果...
result=reader.readtext('chinese.jpg') 实测EasyOCR对cuda的要求比较严格,在一个pytorch正常的环境中,运行之后会报错: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 Could not load symbol cublasGetSmCountTarget from cublas64_11.dll.Error code127 ...
result = reader.readtext(f'easyocr_result_0613_1/img/page_{i}.jpg') for detection in result: print(detection) # 打印识别出的文本 2.2 PaddleOCR 说起百度这个,都是泪啊,各种踩坑。 首先,咱按照github操作步骤,首先安装paddlepaddle-gpu最新版(当然也可以cpu版本,猜测可能就没有下面那么多的问题了),然...
OCR - Image Reader Bermet (23)40,000+ 个用户 照片 获取 与你的浏览器不兼容描述 This extension adds a toolbar button to your browser to allow the user to select a region in the currently active window. The extension captures the selected area and tries to recognize text inside this...
reader = easyocr.Reader(['ch_sim','en'],gpu=False,model_storage_directory='./model') result = reader.readtext('ceshi.png') img = Image.open('ceshi.png') draw = ImageDraw.Draw(img)foriinresult: draw.rectangle((tuple(i[0][0]),tuple(i[0][2])),fill=None,outline='red',width...