image-carla | imitation learning project
kandi X-RAY | image-carla Summary
kandi X-RAY | image-carla Summary
image-carla is a Python library. image-carla has no bugs, it has no vulnerabilities and it has low support. However image-carla build file is not available. You can download it from GitHub.
The aim is to train an IL agent in the CARLA environment. The internal autopilot is used for data collection.
The aim is to train an IL agent in the CARLA environment. The internal autopilot is used for data collection.
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Quality
Security
License
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Support
image-carla has a low active ecosystem.
It has 3 star(s) with 0 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
image-carla has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of image-carla is current.
Quality
image-carla has no bugs reported.
Security
image-carla has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
image-carla 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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image-carla releases are not available. You will need to build from source code and install.
image-carla 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 image-carla and discovered the below as its top functions. This is intended to give you an instant insight into image-carla implemented functionality, and help decide if they suit your requirements.
- Run a CARLA client
- Print a message to the console
- Print text over the terminal
- Convert an action to a pair of integers
- Run the pipeline
- Convert a label label to a tuple
- Compare two expert controls
- Run carla training
- Construct an EfficientNet from pretrained pretrained model
- Get block parameters
- Checks if model_name is valid
- Create an EfficientNet instance from a model name
- Encode a sequence of blocks
- Encode a block
- Evaluate a model
- Runs a carla evaluation
- Performs the forward regression
- Extract features from input tensor
- Perform the forward computation
- Drop - connected layer
- Print text to the terminal
- Calculate the accuracy between two examples
- Convert an action action to a double precision pair
- Return a data loader
- Get the size of a given model
Get all kandi verified functions for this library.
image-carla Key Features
No Key Features are available at this moment for image-carla.
image-carla Examples and Code Snippets
No Code Snippets are available at this moment for image-carla.
Community Discussions
No Community Discussions are available at this moment for image-carla.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install image-carla
This project uses the stable binaries available here. The scripts should be placed in the PythonClient subdirectory.
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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