noahcar | Autonomous Remote Controlled car using deep learning

by james4388 Python Version: Current License: MIT

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

kandi X-RAY | noahcar Summary

noahcar is a Python library typically used in Manufacturing, Utilities, Automotive, Internet of Things (IoT), Deep Learning, Tensorflow, OpenCV, Raspberry Pi applications. noahcar has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Autonomous Remote Controlled (toy) car using deep learning. Raspberry Pi, PiCar, Python

Support

Quality

Security

License

Reuse

Support

noahcar has a low active ecosystem.

It has 27 star(s) with 5 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of noahcar is current.

Quality

noahcar has no bugs reported.

Security

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

License

noahcar 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

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

Build file is available. You can 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 noahcar and discovered the below as its top functions. This is intended to give you an instant insight into noahcar implemented functionality, and help decide if they suit your requirements.

Start the process
Update the context with the given data
Shutdown the graph
Check if inputs are updated
Load the keras model
Predict label for input image
Decode label
Start the vehicle
Run the main loop
Turn the camera to calibration
Return the bus number
Reset servos to 90 degrees
Install all servo
Process the processing loop
Initialize the forward_a
Set channel
Set the current rotating offset
Setup PCA9 MODE
Return a list of all available profiles
Set the speed of the motor
Update vehicle stats
Start web controller
Request handler
Start the game
Set the frequency of the PWM
The main loop

Get all kandi verified functions for this library.

noahcar Key Features

No Key Features are available at this moment for noahcar.

noahcar Examples and Code Snippets

No Code Snippets are available at this moment for noahcar.

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 noahcar

You can download it from GitHub.
You can use noahcar 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 .

Find more information at: