boxdetect | Python package based on OpenCV | Computer Vision library
kandi X-RAY | boxdetect Summary
kandi X-RAY | boxdetect Summary
boxdetect is a Python library typically used in Artificial Intelligence, Computer Vision, OpenCV applications. boxdetect has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install boxdetect' or download it from GitHub, PyPI.
BoxDetect is a Python package based on OpenCV which allows you to easily detect rectangular shapes like character or checkbox boxes on scanned forms. Main purpose of this library is to provide helpful functions for processing document images like bank forms, applications, etc. and extract regions where character boxes or tick/check boxes are present.
BoxDetect is a Python package based on OpenCV which allows you to easily detect rectangular shapes like character or checkbox boxes on scanned forms. Main purpose of this library is to provide helpful functions for processing document images like bank forms, applications, etc. and extract regions where character boxes or tick/check boxes are present.
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Support
boxdetect has a low active ecosystem.
It has 74 star(s) with 19 fork(s). There are 9 watchers for this library.
It had no major release in the last 12 months.
There are 4 open issues and 15 have been closed. On average issues are closed in 37 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of boxdetect is 1.0.1
Quality
boxdetect has 0 bugs and 16 code smells.
Security
boxdetect has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
boxdetect code analysis shows 0 unresolved vulnerabilities.
There are 1 security hotspots that need review.
License
boxdetect is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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boxdetect releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Installation instructions, examples and code snippets are available.
It has 876 lines of code, 57 functions and 11 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed boxdetect and discovered the below as its top functions. This is intended to give you an instant insight into boxdetect implemented functionality, and help decide if they suit your requirements.
- Get checkboxes from an image
- Threshold image
- Gets the crop area of a checkbox
- R Determine if an image contains all pixels in the image
Get all kandi verified functions for this library.
boxdetect Key Features
No Key Features are available at this moment for boxdetect.
boxdetect Examples and Code Snippets
No Code Snippets are available at this moment for boxdetect.
Community Discussions
Trending Discussions on boxdetect
QUESTION
How to coding to fix Fatal error detected : Failed to execute script BoxDetection after use auto-py-to-exe compile python code to exe file?
Asked 2020-Aug-16 at 06:27
How to coding to fix Fatal error detected : Failed to execute script BoxDetection after use auto-py-to-exe compile python code to exe file?
I learn to compile python code to exe file with vdo link https://www.youtube.com/watch?v=ZtBTrARHJps&list=WL&index=3&t=156s .
I have problem to after use auto-py-to-exe compile python code to exe file and have popup error after program finished working.
...ANSWER
Answered 2020-Aug-16 at 06:27Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install boxdetect
Checkout usage examples below to get a better understanding of how it works or go to get-started-pipelines.ipynb and get-started-autoconfig.ipynb notebooks which holds step by step examples for using BoxDetect with premade boxdetect.pipelines functions.
BoxDetect can be installed directly from this repo using pip:.
BoxDetect can be installed directly from this repo using pip:.
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 .
Find more information at:
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