ikinari-ai | Prototype of the robot with Raspberry Pi and Arduino

by bluemooninc Python Version: Current License: No License

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

kandi X-RAY | ikinari-ai Summary

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

Prototype of the robot with Raspberry Pi and Arduino

Support

Quality

Security

License

Reuse

Support

ikinari-ai has a low active ecosystem.

It has 8 star(s) with 0 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 26 open issues and 0 have been closed. On average issues are closed in 1196 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ikinari-ai is current.

Quality

ikinari-ai has no bugs reported.

Security

ikinari-ai has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

ikinari-ai 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

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

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

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Xception model
Constructs a ResNet50
Convolution block layer
Computes the identity block
Creates a VGG16 image
Builds a VGG
Show the screen and dect
Return the bounding box of an image
Crop a face of a given face
Preprocess a face image
Use Google Speech Recognition API
Moves DC
Writes a number to the arduino
Put a string on the CD
Write a single character
Write to the LCD device
Write device to device
Show IP address
Send a string to the display
Send a byte to the device
Get camera streaming
Send a string to the LCD
Read distance
Loads the given fontdata
Preprocess an input
Execute a Unix command

Get all kandi verified functions for this library.

ikinari-ai Key Features

No Key Features are available at this moment for ikinari-ai.

ikinari-ai Examples and Code Snippets

No Code Snippets are available at this moment for ikinari-ai.

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 ikinari-ai

You can download it from GitHub.
You can use ikinari-ai 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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