fvcore

v0.1.5.post20221221

Collection of common code shared among different research projects in FAIR computer vision team For more information about how to use this package see README

Latest version published 10 months ago

License: Apache-2.0

PyPI

GitHub

Package Health Score

77 / 100

security
Security review needed
popularity
Influential project
maintenance
Sustainable
community
Active

Popularity

Influential project

Total Weekly Downloads (263,557)

GitHub Stars: 1.74K
Forks: 219
Contributors: 50

Direct Usage Popularity

The PyPI package fvcore receives a total of 263,557 downloads a week. As such, we scored fvcore popularity level to be Influential project.

Based on project statistics from the GitHub repository for the PyPI package fvcore, we found that it has been starred 1,735 times.

The download numbers shown are the average weekly downloads from the last 6 weeks.

Security

Security review needed

Security and license risk for latest version

Release Date: Dec 21, 2022
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 1
C
0
H
0
M
3
L
License Risk: 0
H
0
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

We found a way for you to contribute to the project! Looks like fvcore is missing a security policy.

A security vulnerability was detected in an indirect dependency that is added to your project when the latest version of fvcore is installed.

We highly advise you to review these security issues.

You can connect your project's repository to Snyk to stay up to date on security alerts and receive automatic fix pull requests.

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Maintenance

Sustainable

Commit Frequency

Open Issues: 28
Open PR: 12
Last Release: 10 months ago
Last Commit: 17 days ago

Further analysis of the maintenance status of fvcore based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Sustainable.

We found that fvcore demonstrates a positive version release cadence with at least one new version released in the past 12 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: Yes
Contributors: 50
Funding: No

With more than 10 contributors for the fvcore repository, this is possibly a sign for a growing and inviting community.

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Package

Python Versions Compatibility: >=3.6

Age: 4 years
Latest Release: 10 months ago
Dependencies: N/A
Versions: 192
Maintainers: 4
Wheels: No

Not sure how to use fvcore?

To help you get started, we've collected the most common ways that fvcore is being used within popular public projects.

facebookresearch / fvcore / tests / test_file_io.py View on Github

def test_open_args(self):
        PathManager.set_strict_kwargs_checking(True)
        f = PathManager.open(
            self._tmpfile,  # type: ignore
            mode="r",
            buffering=1,
            encoding="UTF-8",
            errors="ignore",
            newline=None,
            closefd=True,
            opener=None,
        )
        f.close()

View more ways to use fvcore

fvcore

fvcore is a light-weight core library that provides the most common and essential functionality shared in various computer vision frameworks developed in FAIR, such as Detectron2, PySlowFast, and ClassyVision. All components in this library are type-annotated, tested, and benchmarked.

The computer vision team in FAIR is responsible for maintaining this library.

Features:

Besides some basic utilities, fvcore includes the following features:

Common pytorch layers, functions and losses in fvcore.nn.
A hierarchical per-operator flop counting tool: see this note for details.
Recursive parameter counting: see API doc.
Recompute BatchNorm population statistics: see its API doc.
A stateless, scale-invariant hyperparameter scheduler: see its API doc.

Install:

fvcore requires pytorch and python >= 3.6.

Use one of the following ways to install:

1. Install from PyPI (updated nightly)

pip install -U fvcore

2. Install from Anaconda Cloud (updated nightly)

conda install -c fvcore -c iopath -c conda-forge fvcore

3. Install latest from GitHub

pip install -U 'git+https://github.com/facebookresearch/fvcore'

4. Install from a local clone

git clone https://github.com/facebookresearch/fvcore
pip install -e fvcore

License

This library is released under the Apache 2.0 license.

FAQs

What is fvcore?

Collection of common code shared among different research projects in FAIR computer vision team. Visit Snyk Advisor to see a full health score report for fvcore, including popularity, security, maintenance & community analysis.

Is fvcore popular?

The python package fvcore receives a total of 263,557 weekly downloads. As such, fvcore popularity was classified as an influential project. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is fvcore well maintained?

We found indications that fvcore maintenance is sustainable demonstrating some project activity. We saw a total of 50 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is fvcore safe to use?

While scanning the latest version of fvcore, we found that a security review is needed. A total of 4 vulnerabilities or license issues were detected. See the full security scan results.

Last updated on 1 October-2023, at 20:11 (UTC).

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Package Health Score

Total Weekly Downloads (263,557)

Direct Usage Popularity

Security and license risk for latest version

Commit Frequency

Embed Package Health Score Badge

Keep your project healthy

Check your requirements.txt

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Not sure how to use fvcore?

fvcore

Features:

Install:

1. Install from PyPI (updated nightly)

2. Install from Anaconda Cloud (updated nightly)

3. Install latest from GitHub

4. Install from a local clone

License

FAQs

What is fvcore?

Is fvcore popular?

Is fvcore well maintained?

Is fvcore safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

Container

Config

Fix identified vulnerabilities

Monitor for new issues