ddddocr | OCR pypi version with brother universal verification code
kandi X-RAY | ddddocr Summary
kandi X-RAY | ddddocr Summary
ddddocr is a Python library. ddddocr has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install ddddocr' or download it from GitHub, PyPI.
OCR pypi version with brother universal verification code recognition
OCR pypi version with brother universal verification code recognition
Support
Quality
Security
License
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Support
ddddocr has a medium active ecosystem.
It has 5646 star(s) with 1140 fork(s). There are 64 watchers for this library.
There were 4 major release(s) in the last 12 months.
There are 45 open issues and 70 have been closed. On average issues are closed in 28 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of ddddocr is 1.5.5
Quality
ddddocr has no bugs reported.
Security
ddddocr has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
ddddocr is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
ddddocr releases are not available. You will need to build from source code and install.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed ddddocr and discovered the below as its top functions. This is intended to give you an instant insight into ddddocr implemented functionality, and help decide if they suit your requirements.
- Initialize the device .
- Set classification .
- Get the bounding box of the image .
- Get the target position of the image .
- Get base64 encoded base64 .
- Convert base64 to an Image .
Get all kandi verified functions for this library.
ddddocr Key Features
No Key Features are available at this moment for ddddocr.
ddddocr Examples and Code Snippets
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# 安装依赖
pip install -r requirements.txt -i https://pypi.douban.com/simple
# 运行 可选参数如下
# --port 9898 指定端口,默认为9898
# --ocr 开启ocr模块 默认开启
# --old 只有ocr模块开启的情况下生效 默认不开启
# --det 开启目标检测模式
# 最简单运行方式,只开启ocr模块并以新模型计算
python ocr_server.py --port 9898 --ocr
#
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# 1、测试是否启动成功,可以通过直接GET访问http://{host}:{port}/ping来测试,如果返回pong则启动成功
# 2、OCR/目标检测请求接口格式:
# http://{host}:{port}/{opt}/{img_type}/{ret_type}
# opt:操作类型 ocr=OCR det=目标检测 slide=滑块(match和compare两种算法,默认为compare)
# img_type: 数据类型 file=文件上传方式 b64=base64(img
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git clone https://github.com/sml2h3/ocr_api_server.git
# docker怎么安装?百度吧
cd ocr_api_server
# 修改entrypoint.sh中的参数,具体参数往上翻,默认9898端口,同时开启ocr模块以及目标检测模块
# 编译镜像
docker build -t ocr_server:v1 .
# 运行镜像
docker run -p 9898:9898 -d ocr_server:v1
Community Discussions
No Community Discussions are available at this moment for ddddocr.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install ddddocr
You can install using 'pip install ddddocr' or download it from GitHub, PyPI.
You can use ddddocr like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use ddddocr like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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