cog-vision | Vision submodule for ROSCOG

by blackvitriol Python Version: Current License: MIT

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

kandi X-RAY | cog-vision Summary

cog-vision is a Python library. cog-vision has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However cog-vision build file is not available. You can download it from GitHub.

Vision submodule for ROSCOG

Support

Quality

Security

License

Reuse

Support

cog-vision has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

cog-vision has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of cog-vision is current.

Quality

cog-vision has no bugs reported.

Security

cog-vision has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

cog-vision 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

cog-vision releases are not available. You will need to build from source code and install.

cog-vision has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

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cog-vision Key Features

No Key Features are available at this moment for cog-vision.

cog-vision Examples and Code Snippets

No Code Snippets are available at this moment for cog-vision.

Community Discussions

No Community Discussions are available at this moment for cog-vision.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install cog-vision

Optional arguments (default value):.
Device index of the camera --source=0
Width of the frames in the video stream --width=480
Height of the frames in the video stream --height=360
Number of workers --num-workers=2
Size of the queue --queue-size=5

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: