SfSNet | run SfSNet on the supplied test images | Functional Testing library

by senguptaumd Python Version: Current License: No License

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

kandi X-RAY | SfSNet Summary

SfSNet is a Python library typically used in Testing, Functional Testing, Selenium applications. SfSNet has no bugs, it has no vulnerabilities and it has low support. However SfSNet build file is not available. You can download it from GitHub.

Run 'test_SfSNet' on Matlab to run SfSNet on the supplied test images.

Support

Quality

Security

License

Reuse

Support

SfSNet has a low active ecosystem.

It has 219 star(s) with 44 fork(s). There are 9 watchers for this library.

It had no major release in the last 6 months.

There are 5 open issues and 2 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 SfSNet is current.

Quality

SfSNet has 0 bugs and 17 code smells.

Security

SfSNet has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

SfSNet code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

SfSNet 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.

Reuse

SfSNet releases are not available. You will need to build from source code and install.

SfSNet 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.

SfSNet saves you 78 person hours of effort in developing the same functionality from scratch.

It has 201 lines of code, 20 functions and 5 files.

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

Top functions reviewed by kandi - BETA

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

Backward propagation .
Generate the quadratic transform
Reshape difference .
Set up the distortion parameters .

Get all kandi verified functions for this library.

SfSNet Key Features

No Key Features are available at this moment for SfSNet.

SfSNet Examples and Code Snippets

No Code Snippets are available at this moment for SfSNet.

Community Discussions

Trending Discussions on SfSNet

How to share ownership of mounted directory on docker?

How to replace a sentence in line of string address?

QUESTION

How to share ownership of mounted directory on docker?

Asked 2020-Feb-14 at 09:51

I am still new at using docker and currently I am planning to do a machine learning training on a supercomputer shared by many user. I have successfully created an image and mount all the necessary data but when I try to run the training, I got permission denied when the code tries to access a .txt file. Here is the error

...

ANSWER

Answered 2020-Feb-14 at 09:51

The problem is located in the results directory :

Source https://stackoverflow.com/questions/60221293

QUESTION

How to replace a sentence in line of string address?

Asked 2019-Sep-17 at 09:53

I need help replacing a part of string on a list of file's address location.

The file address looks like this :

...

ANSWER

Answered 2019-Sep-17 at 09:36

Assuming the structure of all file names is as the above, you could use re.sub as:

Source https://stackoverflow.com/questions/57971318

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

Vulnerabilities

No vulnerabilities reported

Install SfSNet

You can download it from GitHub.
You can use SfSNet 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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