feature-aggregation | Local feature aggregation methods for multimedia | Video Utils library

by paschalidoud Python Version: Current License: MIT

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

kandi X-RAY | feature-aggregation Summary

feature-aggregation is a Python library typically used in Video, Video Utils applications. feature-aggregation has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Local feature aggregation methods for multimedia

Support

Quality

Security

License

Reuse

Support

feature-aggregation has a low active ecosystem.

It has 16 star(s) with 3 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 1144 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of feature-aggregation is current.

Quality

feature-aggregation has 0 bugs and 0 code smells.

Security

feature-aggregation has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

feature-aggregation code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

feature-aggregation is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

feature-aggregation 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.

feature-aggregation saves you 136 person hours of effort in developing the same functionality from scratch.

It has 340 lines of code, 26 functions and 7 files.

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

Top functions reviewed by kandi - BETA

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

Compute the VL gradient
Reshape sparse features
Compute the lc representation of the document
Compute the word embedding
Setup the package
Try to get the version string

Get all kandi verified functions for this library.

feature-aggregation Key Features

No Key Features are available at this moment for feature-aggregation.

feature-aggregation Examples and Code Snippets

Queues an embedding batch .

python

Lines of Code : 50

License : Non-SPDX (Apache License 2.0)

Copy

def enqueue_tpu_embedding_sparse_batch(sample_indices,
                                       embedding_indices,
                                       aggregation_weights,
                                       device_ordinal,

Community Discussions

Trending Discussions on feature-aggregation

How to make pycharm use a different cuda toolkit

QUESTION

How to make pycharm use a different cuda toolkit

Asked 2019-Apr-15 at 07:01

I want to run an MXNet module in GPU.

I have a system which has Ubuntu 18.04 along Cuda 10.0 installed. Apparently this is not covered yet by MXNet binary files so I was focusing on installing 2 cuda versions in my pc (see also here).

Anyway I now have 2 cuda toolkits in my pc in different folders. I need a way to direct my system to use Cuda 9.2 when run from PyCharm. The funny thing is that from a typical console I can run it just fine (at least the MXNet loading part that is of course).

In the module I want to run the program is stuck in:

...

ANSWER

Answered 2019-Apr-15 at 07:01

Well, to make this available to anyone facing the same problem I will post my solution.

I managed to make it work by defining the environmental variable inside pycharm from the run configuration menu (the one that it's available from Run->Run... or Alt+Shift+F10) and defining it there as environmental variable.

LD_LIBRARY_PATH: /usr/local/cuda-9.2/lib64

I am not sure why for that case pycharm is working fine while when the same variable is defined inside the code it does not though (any explanation welcome).

Source https://stackoverflow.com/questions/55648989

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

Vulnerabilities

No vulnerabilities reported

Install feature-aggregation

You can download it from GitHub.
You can use feature-aggregation 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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