SnackWatcher | Snack Watcher Web Application

by jonahgroup JavaScript Version: Current License: No License

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

kandi X-RAY | SnackWatcher Summary

SnackWatcher is a JavaScript library. SnackWatcher has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Snack Watcher Web Application

Support

Quality

Security

License

Reuse

Support

SnackWatcher has a low active ecosystem.

It has 5 star(s) with 0 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

SnackWatcher has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of SnackWatcher is current.

Quality

SnackWatcher has no bugs reported.

Security

SnackWatcher has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

SnackWatcher 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

SnackWatcher releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

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SnackWatcher Key Features

No Key Features are available at this moment for SnackWatcher.

SnackWatcher Examples and Code Snippets

No Code Snippets are available at this moment for SnackWatcher.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install SnackWatcher

snack-web is built on the popular OpenCV and SimpleCV. OpenCV is a C++ library of programming functions mainly aimed at real-time computer vision. SimpleCV provides the Python wrapper on top of OpenCV, simplified many image processing, classifying and displaying functions. Learning from this Install Notes, it describes a super easy and fast way to setup your Raspberry Pi with OpenCV with SimpleCV module, avoiding many painful steps described by others blogs.
Assumed that OpenCV and SimpleCV are installed, snack-web Python requirements can be installed by,.
snack-web is using mongodb as the storage for image attributes. The instructions of installing Raspberry Pi mongodb binaries should be followed closely, which has been confirmed to work Raspberry Pi 2 & 3. As a quick mongodb service guide,.
starting up the mongodb service by
checking the status by
shutting down cleanly by

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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