FEGAN | Supervised Deep Learning for Fisheye Image Rectification | Machine Learning library
kandi X-RAY | FEGAN Summary
kandi X-RAY | FEGAN Summary
FEGAN is a Python library typically used in Institutions, Learning, Education, Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. FEGAN has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
Self-Supervised Deep Learning for Fisheye Image Rectification (pytorch implementation).
Self-Supervised Deep Learning for Fisheye Image Rectification (pytorch implementation).
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Quality
Security
License
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Support
FEGAN has a low active ecosystem.
It has 17 star(s) with 2 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
There are 2 open issues and 0 have been closed. On average issues are closed in 280 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of FEGAN is current.
Quality
FEGAN has 0 bugs and 0 code smells.
Security
FEGAN has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
FEGAN code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
FEGAN 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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FEGAN 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, examples and code snippets are available.
It has 2154 lines of code, 179 functions and 34 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed FEGAN and discovered the below as its top functions. This is intended to give you an instant insight into FEGAN implemented functionality, and help decide if they suit your requirements.
- Display the current visualization
- Create a model from the given options
- Download the dataset
- Download data from given URL
- Display available options
- Returns a list of options extracted from the RSS feed
- Plot the current error
- Get the transform for the given opt
- Scale the width of the image
- Define the layer D
- Get a normalization layer
- Define netG
- Save visuals from visuals
- Saves visuals
- Create a dataset
- Optimizes the parameters
- Backward D_A
- R Evaluate the score of the given GT model
- Add images
- Perform optimizer
- Create a dataset from a directory
- Print current errors
- Create directories
- Create a data loader
- Save the document
- Calculate learning rate
Get all kandi verified functions for this library.
FEGAN Key Features
No Key Features are available at this moment for FEGAN.
FEGAN Examples and Code Snippets
No Code Snippets are available at this moment for FEGAN.
Community Discussions
Trending Discussions on FEGAN
QUESTION
How to fix:Not Able to create mvc project
Asked 2019-Aug-10 at 01:44
I am trying to create mvc project but i am getting following errors:
...ANSWER
Answered 2019-Aug-10 at 01:44What version of Visual Studio are you using? VS 2015 and 2017 come with MVC 5 out of the box. Assuming you're using one of these versions, just add a new ASP.NET Web Application. On the next screen you can just select the MVC checkbox and it will all be loaded for you.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install FEGAN
Clone the project
Install the prerequisites
Install the prerequisites
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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