PISE | CVPR paper PISE : Person Image Synthesis | Machine Learning library

by Zhangjinso Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | PISE Summary

PISE is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Generative adversarial networks applications. PISE has no bugs, it has no vulnerabilities and it has low support. However PISE build file is not available. You can download it from GitHub.

The code for our CVPR paper PISE: Person Image Synthesis and Editing with Decoupled GAN, Project Page, supp.

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Quality

Security

License

Reuse

Support

PISE has a low active ecosystem.

It has 65 star(s) with 6 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 25 have been closed. On average issues are closed in 0 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of PISE is current.

Quality

PISE has 0 bugs and 0 code smells.

Security

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

PISE code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

PISE 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

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

PISE 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.

It has 4027 lines of code, 299 functions and 33 files.

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

Top functions reviewed by kandi - BETA

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

Forward pass through parameters
Normalize feature
Add coordinates to the mesh
Compute the correlation between two features
Display the current results
Save image to file
Add images
Save the document to disk
Get the current visual matrices
Plot the current evaluation score
Create a data loader
Create a list of images from a directory
Convert a tensor to image
Plot current iteration errors
Save a feature map
Save all the network devices
Save the document
Save results to images_dir
Read keypoints from json file
Draws a pose from a set of coordinates
Scale a pyramid
Make a dataset
Forward the segment
Produce a mask for a given image
Parse options
Saves visuals to webpage
Compute L1 and t - loss

Get all kandi verified functions for this library.

PISE Key Features

No Key Features are available at this moment for PISE.

PISE Examples and Code Snippets

No Code Snippets are available at this moment for PISE.

Community Discussions

Trending Discussions on PISE

Placing div next to each other

QUESTION

Placing div next to each other

Asked 2017-Aug-17 at 10:34

I am having div tables like in the example.

There is ng-repeat angularjs which generates smaller divs inside one big wrapper div. And all that is centered. What I want is to place one smaller div on the right side of this wrapper_main div, with wrapper_main div still being in the center. I tried adding display:inline-block and nothing happened. float:left moved everything to the left which isn't what I want.

...

ANSWER

Answered 2017-Aug-17 at 10:34

You can Make pratimPratioci div position absolute and move it to top right. Or
Place the pratimPratioci div before center div in html and style it to float:left

Source https://stackoverflow.com/questions/45731639

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

Vulnerabilities

No vulnerabilities reported

Install PISE

You can download it from GitHub.
You can use PISE 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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