ssi-code | Image Deconvolution via Noise-Tolerant Self
kandi X-RAY | ssi-code Summary
kandi X-RAY | ssi-code Summary
ssi-code is a Python library. ssi-code has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
Image Deconvolution via Noise-Tolerant Self-Supervised Inversion
Image Deconvolution via Noise-Tolerant Self-Supervised Inversion
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ssi-code has a low active ecosystem.
It has 25 star(s) with 10 fork(s). There are 7 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 75 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of ssi-code is current.
Quality
ssi-code has 0 bugs and 0 code smells.
Security
ssi-code has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
ssi-code code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
ssi-code 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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ssi-code 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.
ssi-code saves you 1566 person hours of effort in developing the same functionality from scratch.
It has 3485 lines of code, 217 functions and 64 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed ssi-code and discovered the below as its top functions. This is intended to give you an instant insight into ssi-code implemented functionality, and help decide if they suit your requirements.
- Example demo function
- Restore Convolutional gradient
- Gradient of t_smoothed
- R Conjugate the gradient of a gradient descent function
- Translates the input image
- Convert an image format into an array
- Convert array format to numpy array format
- Print out the amount of memory usage
- Crop all images in folder
- Restore the image from the given image
- Generate a demo function for the example
- Restore the image from an image
- Run a benchmark on the given folder
- Get all images in folder
- Generate a phantom of a given image
- Get an image of a given type
- Return the path to the local cache folder
- Compute the average timings for each run
- Convolve two FFTs
- Normalise an array
- Forward computation
- Estimate the resolution of an image
- Calculate the PSF using the interpolation
- Example of the original transformation
- Compute spectrum from source folder
- Generate a XYZ PSF using an interpolation
Get all kandi verified functions for this library.
ssi-code Key Features
No Key Features are available at this moment for ssi-code.
ssi-code Examples and Code Snippets
No Code Snippets are available at this moment for ssi-code.
Community Discussions
Trending Discussions on ssi-code
QUESTION
How can I prevent showing the splash screen when I need it in Inno Setup?
Asked 2020-Apr-06 at 16:07
How can I prevent showing the splash screen when I need it? Should I add some ISSI-code to do that?
Here is my code:
...ANSWER
Answered 2020-Apr-06 at 16:07Instead of legacy ISSI_InitializeSetup
function, use Inno Setup 6 event attributes:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install ssi-code
We recommend that you create a dedicated conda environment for SSI:.
Support
Feedback, pull-requests, and ideas to improve this work are very welcome and will be duly acknowledged.
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