door_detect | garage door 's status with a Foscam camera

by twstokes Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | door_detect Summary

door_detect is a Python library typically used in Internet of Things (IoT), OpenCV, Raspberry Pi applications. door_detect has no bugs, it has no vulnerabilities and it has low support. However door_detect build file is not available. You can download it from GitHub.

Detecting a garage door's status with a Foscam camera and OpenCV - written in Python. The goal of this project is to provide feedback to a user on whether a door is detected open or closed. It uses OpenCV to scan images for expected objects, and determines the physical orientation. Currently it only supports network-attached Foscam cameras. If you see the following in stdout: "Corrupt JPEG data: 2 extraneous bytes before marker 0xd9", it appears to be a known issue with a library OpenCV uses. Since we're just using it for outputting the status, it's not a big deal.

Support

Quality

Security

License

Reuse

Support

door_detect has a low active ecosystem.

It has 13 star(s) with 8 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 8 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of door_detect is current.

Quality

door_detect has 0 bugs and 0 code smells.

Security

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

door_detect code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

door_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.

Reuse

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

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

It has 182 lines of code, 15 functions and 8 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Detects the state of the image
Detect overlays and overlay the image
Find all the shapes in the image
Sets information about a shape match
Creates an OpenCV image snapshot
Get image data from camera
Print information about shapes
Prints information about the image
Retrieve the frameCV

Get all kandi verified functions for this library.

door_detect Key Features

No Key Features are available at this moment for door_detect.

door_detect Examples and Code Snippets

No Code Snippets are available at this moment for door_detect.

Community Discussions

Trending Discussions on Internet of Things (IoT)

Display data from two json files in react native

QUESTION

Display data from two json files in react native

Asked 2020-May-17 at 23:55

I have js files Dashboard and Adverts. I managed to get Dashboard to list the information in one json file (advertisers), but when clicking on an advertiser I want it to navigate to a separate page that will display some data (Say title and text) from the second json file (productadverts). I can't get it to work. Below is the code for the Dashboard and next for Adverts. Then the json files

...

ANSWER

Answered 2020-May-17 at 23:55

The new object to get params in React Navigation 5 is:

Source https://stackoverflow.com/questions/61859411

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

Vulnerabilities

No vulnerabilities reported

Install door_detect

You can download it from GitHub.
You can use door_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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