imfeatures | Minimal image feature extractor using deep learning models | Machine Learning library

by ResByte Python Version: v0.0.1 License: BSD-3-Clause

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

kandi X-RAY | imfeatures Summary

imfeatures is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. imfeatures 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.

Minimal image feature extractor using deep learning models in PyTorch

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Quality

Security

License

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Support

imfeatures has a low active ecosystem.

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

It had no major release in the last 12 months.

There are 1 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 imfeatures is v0.0.1

Quality

imfeatures has no bugs reported.

Security

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

License

imfeatures is licensed under the BSD-3-Clause License. This license is Permissive.

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

Reuse

imfeatures releases are available to install and integrate.

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

Initialize features .
Compute features .
List of models .

Get all kandi verified functions for this library.

imfeatures Key Features

No Key Features are available at this moment for imfeatures.

imfeatures Examples and Code Snippets

No Code Snippets are available at this moment for imfeatures.

Community Discussions

Trending Discussions on imfeatures

partial forward declaration in c++

QUESTION

partial forward declaration in c++

Asked 2019-Dec-10 at 21:09

I have a project (A) that uses a class from another (B), but inluding B's header makes the compilation of A very messy, while separate compilation works fine (but in that case I can't use B's class in A).

B is compiled with VS2019's compiler v142, A is compiled with cuda 10's nvcc.

How can I forward declare only few members eg., a constructor, a property and a method ?

In A, I would like to uses this code without B's header:

...

ANSWER

Answered 2019-Dec-10 at 21:09

You can’t. Here’s what you can do instead:

Source https://stackoverflow.com/questions/59274964

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

Vulnerabilities

No vulnerabilities reported

Install imfeatures

You can download it from GitHub.
You can use imfeatures 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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