barcode-detect | python openCV for barcode detection | Barcode Processing library
kandi X-RAY | barcode-detect Summary
kandi X-RAY | barcode-detect Summary
barcode-detect is a Python library typically used in Utilities, Barcode Processing, OpenCV applications. barcode-detect has no bugs, it has no vulnerabilities and it has low support. However barcode-detect build file is not available. You can download it from GitHub.
python + openCV for barcode detection
python + openCV for barcode detection
Support
Quality
Security
License
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Support
barcode-detect has a low active ecosystem.
It has 9 star(s) with 6 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
barcode-detect has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of barcode-detect is current.
Quality
barcode-detect has no bugs reported.
Security
barcode-detect has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
barcode-detect does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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barcode-detect releases are not available. You will need to build from source code and install.
barcode-detect has no build file. You will be need to create the build yourself to build the component from source.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of barcode-detect
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of barcode-detect
barcode-detect Key Features
No Key Features are available at this moment for barcode-detect.
barcode-detect Examples and Code Snippets
No Code Snippets are available at this moment for barcode-detect.
Community Discussions
Trending Discussions on barcode-detect
QUESTION
How to reliably detect a barcode's 4 corners?
Asked 2018-May-24 at 23:04
ANSWER
Answered 2018-May-24 at 23:04Solution 2 is pretty good. The critical factor that made it fail on your image was the thresholding. If you drop the parameter 225
way down to 55
, you'll get much better results.
I've reworked the code, making some tweaks here and there. The original code is fine if you prefer. The documentation for OpenCV is quite good, and there are very good Python tutorials.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install barcode-detect
You can download it from GitHub.
You can use barcode-detect 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 barcode-detect 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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