Social-DIstancing-Using-Deep-Learning-and-OpenCV | unfortunate circumstances

by Mayurji Python Version: Current License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | Social-DIstancing-Using-Deep-Learning-and-OpenCV Summary

Social-DIstancing-Using-Deep-Learning-and-OpenCV is a Python library. Social-DIstancing-Using-Deep-Learning-and-OpenCV has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However Social-DIstancing-Using-Deep-Learning-and-OpenCV build file is not available. You can download it from GitHub.

Considering the unfortunate circumstances due to COVID-19 keeping distance from one person to another is crucial.

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Social-DIstancing-Using-Deep-Learning-and-OpenCV has a low active ecosystem.

It has 17 star(s) with 12 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 2 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Social-DIstancing-Using-Deep-Learning-and-OpenCV is current.

Quality

Social-DIstancing-Using-Deep-Learning-and-OpenCV has no bugs reported.

Security

Social-DIstancing-Using-Deep-Learning-and-OpenCV has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Social-DIstancing-Using-Deep-Learning-and-OpenCV is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

Social-DIstancing-Using-Deep-Learning-and-OpenCV releases are not available. You will need to build from source code and install.

Social-DIstancing-Using-Deep-Learning-and-OpenCV has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed Social-DIstancing-Using-Deep-Learning-and-OpenCV and discovered the below as its top functions. This is intended to give you an instant insight into Social-DIstancing-Using-Deep-Learning-and-OpenCV implemented functionality, and help decide if they suit your requirements.

Load weights from a weight file
Load a convolution model
Loads a convolution model
Detect objects on the given image
Performs a non - MaxMaxSuppression on the given bounding boxes
Calculates the intersection of two bounding boxes
Compute the bounding boxes of the image
Get the boxes for each image
Convert to CPU tensor
Convert gpu_matrix to cpu
Print network configuration
Print out the configuration

Get all kandi verified functions for this library.

Social-DIstancing-Using-Deep-Learning-and-OpenCV Key Features

No Key Features are available at this moment for Social-DIstancing-Using-Deep-Learning-and-OpenCV.

Social-DIstancing-Using-Deep-Learning-and-OpenCV Examples and Code Snippets

No Code Snippets are available at this moment for Social-DIstancing-Using-Deep-Learning-and-OpenCV.

Community Discussions

No Community Discussions are available at this moment for Social-DIstancing-Using-Deep-Learning-and-OpenCV.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Social-DIstancing-Using-Deep-Learning-and-OpenCV

You can download it from GitHub.
You can use Social-DIstancing-Using-Deep-Learning-and-OpenCV 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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