behavioral-cloning | driving car that runs in simulator | Machine Learning library

by BillZito Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | behavioral-cloning Summary

behavioral-cloning is a Python library typically used in Manufacturing, Utilities, Automotive, Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Keras, OpenCV applications. behavioral-cloning has no bugs, it has no vulnerabilities and it has low support. However behavioral-cloning build file is not available. You can download it from GitHub.

Deep neural network to drive a car in a simulator. For a deeper look at my process, check out my article on Medium. Model largely copied from Nvidia's paper. Trained via 8k images on the track, which were augmented to become 48k images. All made possible by Udacity's Self-driving Car Nanodegree.

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behavioral-cloning has a low active ecosystem.

It has 7 star(s) with 3 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

behavioral-cloning has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of behavioral-cloning is current.

Quality

behavioral-cloning has 0 bugs and 0 code smells.

Security

behavioral-cloning has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

behavioral-cloning code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

behavioral-cloning 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.

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

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

It has 697 lines of code, 35 functions and 3 files.

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

Top functions reviewed by kandi - BETA

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

Generate a random generator
Flips the input X and y
Flips image x
Flip labels vertically
Translate images
Translate an image
Plays a telemetry response
Send the steering control
Combine multiple images into one
Combine two images
Resize all images
Resize image files
Change one color
Show an image
Generate a series of values
Connect to a server

Get all kandi verified functions for this library.

behavioral-cloning Key Features

No Key Features are available at this moment for behavioral-cloning.

behavioral-cloning Examples and Code Snippets

No Code Snippets are available at this moment for behavioral-cloning.

Community Discussions

Trending Discussions on behavioral-cloning

must have same datatype, got tf.uint8 != tf.float32 (behavioral cloning simulator)

Converting Windows Path to Linux

QUESTION

must have same datatype, got tf.uint8 != tf.float32 (behavioral cloning simulator)

Asked 2020-Dec-12 at 15:31

While trying the project of car behavioral cloning, I successfully trained my model and generated the file model-001.h5. now in order to test the model, it must successfully drive the vehicle in Udacity self-driving simulator this is done by running the drive.py and the generated model-001.h5 file

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ANSWER

Answered 2020-Dec-12 at 15:22

It'd be helpful to see on what line you get an error.

It's not obvious to me where the "if statement to change the incoming data to float format" that you refer to is. I see that the model is called on whatever image is loaded, in whatever datatype it comes from. I predict that the image is stored as uint8, the most efficient storage for a (0,255) colour representation.

So try:

image = np.asarray(image, dtype=np.float32)

To create an array of the correct datatype for your model, which I am presuming is tf.float32.

Source https://stackoverflow.com/questions/65266507

QUESTION

Converting Windows Path to Linux

Asked 2020-Feb-19 at 03:28

I created a CSV file (driving_log.csv) for the filepath of each image that my simulator created but I was using my brother's Windows computer when I did that so now the file path looks like this for each image (and there is almost 14000 of them). I get an error when invoking it from my file.py, which is in the same directory as the CSV file.

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ANSWER

Answered 2020-Feb-19 at 03:28

If you are running your code on a *nix machine, you can use the PureWindowsPath class:

Source https://stackoverflow.com/questions/60291545

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

Vulnerabilities

No vulnerabilities reported

Install behavioral-cloning

You can download it from GitHub.
You can use behavioral-cloning 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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