PINet_PG | The code of our PG paper

by Zhangjinso Python Version: Current License: No License

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

kandi X-RAY | PINet_PG Summary

PINet_PG is a Python library. PINet_PG has no bugs, it has no vulnerabilities and it has low support. However PINet_PG build file is not available. You can download it from GitHub.

Code for our PG paper Human Pose Transfer by Adaptive Hierarchical Deformation.

Support

Quality

Security

License

Reuse

Support

PINet_PG has a low active ecosystem.

It has 9 star(s) with 4 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 3 have been closed. On average issues are closed in 1 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of PINet_PG is current.

Quality

PINet_PG has no bugs reported.

Security

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

License

PINet_PG 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

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

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

Calculate image parameters
Read a cv2 image file
Resizes an image
Parse arguments
Get the current visualization
Define the convolutional layer
Get norm layer
Define netG
Set the input
Convert a rotation matrix to a matrix
Create parameters for the module
Wrapper for preprocessing
Convert an image to a crop
Convert a tensor into an image
Decodes the given image into an image
Test the network
Return a dictionary of the current errors
Create a dataset
Create a model
Optimizes the model
Performs the backward computation
Add images
Saves the network to disk
Create directories
Draws a pose from a map
Save the document

Get all kandi verified functions for this library.

PINet_PG Key Features

No Key Features are available at this moment for PINet_PG.

PINet_PG Examples and Code Snippets

No Code Snippets are available at this moment for PINet_PG.

Community Discussions

No Community Discussions are available at this moment for PINet_PG.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install PINet_PG

You can download it from GitHub.
You can use PINet_PG 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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