AutoRCCar | OpenCV Python Neural Network Autonomous RC Car

by hamuchiwa Python Version: Current License: BSD-2-Clause

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

kandi X-RAY | AutoRCCar Summary

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

test/ rc_control_test.py: RC car control with keyboard stream_server_test.py: video streaming from Pi to computer ultrasonic_server_test.py: sensor data streaming from Pi to computer model_train_test/ data_test.npz: sample data train_predict_test.ipynb: a jupyter notebook that goes through neural network model in OpenCV3. raspberryPi/ stream_client.py: stream video frames in jpeg format to the host computer ultrasonic_client.py: send distance data measured by sensor to the host computer. arduino/ rc_keyboard_control.ino: control RC car controller. computer/ cascade_xml/ trained cascade classifiers chess_board/ images for calibration, captured by pi camera. picam_calibration.py: pi camera calibration collect_training_data.py: collect images in grayscale, data saved as *.npz model.py: neural network model model_training.py: model training and validation rc_driver_helper.py: helper classes/functions for rc_driver.py rc_driver.py: receive data from raspberry pi and drive the RC car based on model prediction rc_driver_nn_only.py: simplified rc_driver.py without object detection. Traffic_signal trafic signal sketch contributed by @geek111.

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AutoRCCar has a medium active ecosystem.

It has 3243 star(s) with 1442 fork(s). There are 258 watchers for this library.

It had no major release in the last 6 months.

There are 30 open issues and 212 have been closed. On average issues are closed in 180 days. There are 11 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of AutoRCCar is current.

Quality

AutoRCCar has 0 bugs and 0 code smells.

Security

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

AutoRCCar code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

AutoRCCar is licensed under the BSD-2-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

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

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

Top functions reviewed by kandi - BETA

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

Handle video detection
Detects a cascade classification
Calculate the distance to the target point
Predict the model
Stop stream
Collect the images for training
Write data to the stream
Start the sensor stream
Create a video stream
Drive the video
Load training data
Drive forward
Train the model
Create neural network
Evaluate the model s accuracy
Saves the model to path

Get all kandi verified functions for this library.

AutoRCCar Key Features

No Key Features are available at this moment for AutoRCCar.

AutoRCCar Examples and Code Snippets

No Code Snippets are available at this moment for AutoRCCar.

Community Discussions

Trending Discussions on AutoRCCar

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 AutoRCCar

Install miniconda(Python3) on your computer. Create auto-rccar environment with all necessary libraries for this project conda env create -f environment.yml. Activate auto-rccar environment source activate auto-rccar.
Install miniconda(Python3) on your computer
Create auto-rccar environment with all necessary libraries for this project conda env create -f environment.yml
Activate auto-rccar environment source activate auto-rccar

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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