Explorable-Super-Resolution | Yuval Bahat & amp ; Tomer Michaeli
kandi X-RAY | Explorable-Super-Resolution Summary
kandi X-RAY | Explorable-Super-Resolution Summary
Explorable-Super-Resolution is a Python library typically used in Telecommunications, Media, Media, Entertainment applications. Explorable-Super-Resolution has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However Explorable-Super-Resolution build file is not available. You can download it from GitHub.
Yuval Bahat & Tomer Michaeli.
Yuval Bahat & Tomer Michaeli.
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Quality
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Explorable-Super-Resolution has a low active ecosystem.
It has 45 star(s) with 7 fork(s). There are 3 watchers for this library.
It had no major release in the last 6 months.
There are 0 open issues and 6 have been closed. On average issues are closed in 9 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of Explorable-Super-Resolution is current.
Quality
Explorable-Super-Resolution has no bugs reported.
Security
Explorable-Super-Resolution has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Explorable-Super-Resolution is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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Explorable-Super-Resolution releases are not available. You will need to build from source code and install.
Explorable-Super-Resolution has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed Explorable-Super-Resolution and discovered the below as its top functions. This is intended to give you an instant insight into Explorable-Super-Resolution implemented functionality, and help decide if they suit your requirements.
- Performs optimization
- Prepare input image
- Crop image to output shape
- Prepare D input
- Setup the UI
- Defines a button
- Return a QSizePolicy
- Sets the size of the button
- Resize a NumPy array
- Display the log plot
- Perform the forward transformation
- Optimize the parameters
- Set the desired appearance mode
- Performs validation
- Modify Graphical input location
- Calculate learning rate
- Load the model
- Apply spectral norm to a module
- Wrap the tensorflow
- Saves the output file and Z map
- Called when a mouse press is pressed
- Resize an image
- Open file dialog
- Forward the image
- Perform validation
- Optimizes the parameters
Get all kandi verified functions for this library.
Explorable-Super-Resolution Key Features
No Key Features are available at this moment for Explorable-Super-Resolution.
Explorable-Super-Resolution Examples and Code Snippets
No Code Snippets are available at this moment for Explorable-Super-Resolution.
Community Discussions
No Community Discussions are available at this moment for Explorable-Super-Resolution.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Explorable-Super-Resolution
You can download it from GitHub.
You can use Explorable-Super-Resolution 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.
You can use Explorable-Super-Resolution 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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