PSGNets | Neural Networks that convert input movies

by neuroailab Python Version: Current License: No License

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kandi X-RAY | PSGNets Summary

PSGNets is a Python library. PSGNets has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Models for converting image-like inputs into hierarchical graph-like scene representations. where [X] is the number of a free GPU on the node you're on, [MY_EXP_ID] is a name for your training experiment, [PORT_TO_MONGODB] is a valid locahost port hosting a mongodb, and [PATH_TO_IMAGENET] is an optional path where Imagenet data are stored. If you don't pass an argument to --data_dir, the model will train from a default directory specified in psgnets/data/imagenet_data.py.

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Support

PSGNets has a low active ecosystem.

It has 44 star(s) with 3 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of PSGNets is current.

Quality

PSGNets has no bugs reported.

Security

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

License

PSGNets 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

PSGNets 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 are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Builds convolutional inputs .
Calculate photometric flow loss .
Shape decoder .
Compute the projected photometric flow loss .
Build a single dataset .
Construct a resnet model graph .
Compute spatial moments of child nodes .
Get batch data from file .
Label - propagation image .
Convolutional convolution layer .

Get all kandi verified functions for this library.

PSGNets Key Features

No Key Features are available at this moment for PSGNets.

PSGNets Examples and Code Snippets

No Code Snippets are available at this moment for PSGNets.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install PSGNets

You can download it from GitHub.
You can use PSGNets 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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