self_drive | 基于树莓派的自动驾驶小车，利用树莓派和tensorflow实现小车在赛道的自动驾驶。（Self-driving car based on raspberry pi（tensorflow））

by Timthony Python Version: Current License: No License

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

kandi X-RAY | self_drive Summary

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

基于树莓派的人工智能自动驾驶小车 Artificial intelligence automatic driving car based on raspberry pie github传送门：

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Quality

Security

License

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Support

self_drive has a medium active ecosystem.

It has 908 star(s) with 261 fork(s). There are 58 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of self_drive is current.

Quality

self_drive has no bugs reported.

Security

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

License

self_drive 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

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

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

Top functions reviewed by kandi - BETA

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

Creates training images
Run the loop
Control the robot
Rotate the robot
Rotate the robot to right
Given a prediction array returns the index of the maximum value
Drive backward
Drive forward forward
Stop the motors
This is the main loop
Load training data
Run the main loop
Train a model
Generate images and steers
Process an image
Builds the model
Returns a list of all the variables that can be excluded
Get all trainable variables
Move forward forward

Get all kandi verified functions for this library.

self_drive Key Features

No Key Features are available at this moment for self_drive.

self_drive Examples and Code Snippets

No Code Snippets are available at this moment for self_drive.

Community Discussions

Trending Discussions on self_drive

How to send and receive webcam stream using tcp sockets in Python?

QUESTION

How to send and receive webcam stream using tcp sockets in Python?

Asked 2018-Aug-19 at 20:59

I am trying to recreate this project. What I have is a server (my computer), and a client (my raspberry pi). What I am doing differently than the original project is that I am trying to use a simple webcam instead of a raspberry pi camera to stream images from my rpi to the server. I know that I must:

Get opencv image frames from the camera.
Convert a frame (which is a numpy array) to bytes.
Transfer the bytes from the client to the server.
Convert the bytes back into frames and view.

Examples would be appreciated.

self_driver.py

...

ANSWER

Answered 2018-Aug-19 at 20:59

You can't just display every received buffer of 1-1024 bytes as an image; you have to concatenate them up and only display an image when your buffer is complete.

If you know, out of band, that your images are going to be a fixed number of bytes, you can do something like this:

Source https://stackoverflow.com/questions/51921631

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

Vulnerabilities

No vulnerabilities reported

Install self_drive

You can download it from GitHub.
You can use self_drive 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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