Learn-OpenCV-in-3-hours
kandi X-RAY | Learn-OpenCV-in-3-hours Summary
kandi X-RAY | Learn-OpenCV-in-3-hours Summary
Learn-OpenCV-in-3-hours is a Python library. Learn-OpenCV-in-3-hours has no bugs, it has no vulnerabilities and it has medium support. However Learn-OpenCV-in-3-hours build file is not available. You can download it from GitHub.
Learn-OpenCV-in-3-hours
Learn-OpenCV-in-3-hours
Support
Quality
Security
License
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Support
Learn-OpenCV-in-3-hours has a medium active ecosystem.
It has 886 star(s) with 556 fork(s). There are 28 watchers for this library.
It had no major release in the last 6 months.
There are 8 open issues and 2 have been closed. On average issues are closed in 94 days. There are 4 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of Learn-OpenCV-in-3-hours is current.
Quality
Learn-OpenCV-in-3-hours has 0 bugs and 0 code smells.
Security
Learn-OpenCV-in-3-hours has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
Learn-OpenCV-in-3-hours code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
Learn-OpenCV-in-3-hours 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.
Reuse
Learn-OpenCV-in-3-hours releases are not available. You will need to build from source code and install.
Learn-OpenCV-in-3-hours has no build file. You will be need to create the build yourself to build the component from source.
It has 36357 lines of code, 14 functions and 15 files.
It has low code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed Learn-OpenCV-in-3-hours and discovered the below as its top functions. This is intended to give you an instant insight into Learn-OpenCV-in-3-hours implemented functionality, and help decide if they suit your requirements.
- Resize images
- Get the contours of the contour
- Find all the colors in the given image
- Get contours of contour
- Get the warp of an image
- Reorder the points in the points
- Perform preprocessing of the image
- Draws a circle on the canvas
Get all kandi verified functions for this library.
Learn-OpenCV-in-3-hours Key Features
No Key Features are available at this moment for Learn-OpenCV-in-3-hours.
Learn-OpenCV-in-3-hours Examples and Code Snippets
No Code Snippets are available at this moment for Learn-OpenCV-in-3-hours.
Community Discussions
No Community Discussions are available at this moment for Learn-OpenCV-in-3-hours.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Learn-OpenCV-in-3-hours
You can download it from GitHub.
You can use Learn-OpenCV-in-3-hours 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 Learn-OpenCV-in-3-hours 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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