Package Health Score

51 / 100

security
Security review needed
popularity
Small
maintenance
Inactive
community
Sustainable

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Popularity

Small

GitHub Stars: 7.68K
Forks: 1.22K
Contributors: 60

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package ppgan, we found that it has been starred 7,681 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Dec 8, 2021
Direct Vulnerabilities: 0
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0
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0
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0
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Indirect Vulnerabilities: 0
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0
H
0
M
0
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License Risk: 0
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2
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

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Maintenance

Inactive

Commit Frequency

Open Issues: 109
Open PR: 5
Last Release: 2 years ago
Last Commit: 26 days ago

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

An important project maintenance signal to consider for ppgan is that it hasn't seen any new versions released to PyPI in the past 12 months, and could be considered as a discontinued project, or that which receives low attention from its maintainers.

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

Sustainable

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 60
Funding: No

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

We found a way for you to contribute to the project! Looks like ppgan is missing a Code of Conduct.

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Package

Python Versions Compatibility: ==3.5.*, ==3.6.*, ==3.7.*

Age: 3 years
Latest Release: 2 years ago
Dependencies: 13 Direct / 44 Total
Versions: 6
Maintainers: 1
Wheels: OS Independent

Readme

English | 简体中文

PaddleGAN

PaddleGAN provides developers with high-performance implementation of classic and SOTA Generative Adversarial Networks, and supports developers to quickly build, train and deploy GANs for academic, entertainment and industrial usage.

GAN-Generative Adversarial Network, was praised by "the Father of Convolutional Networks" Yann LeCun (Yang Likun) as [One of the most interesting ideas in the field of computer science in the past decade]. It's the one research area in deep learning that AI researchers are most concerned about.

🎪 Hot Activities

2021.4.15~4.22

GAN 7 Days Course Camp: Baidu Senior Research Developers help you learn the basic and advanced GAN knowledge in 7 days!

Courses videos and related materials: https://aistudio.baidu.com/aistudio/course/introduce/16651

🚀 Recent Updates

🔥 Latest Release: PP-MSVSR 🔥
- Video Super Resolution SOTA models
😍 Boy or Girl？：StyleGAN V2 Face Editing-Changing genders！ 😍
- Online Toturials
👩‍🚀 A Space Odyssey ：LapStyle image translation take you travel around the universe👨‍🚀
- Online Toturials
🧙‍♂️ Latest Creative Project：create magic/dynamic profile for your student ID in Hogwarts 🧙‍♀️
- Online Toturials
💞 Add Face Morphing function💞 : you can perfectly merge any two faces and make the new face get any facial expressions!
- Tutorials: https://aistudio.baidu.com/aistudio/projectdetail/2254031
Publish a new version of First Oder Motion model by having two impressive features:
- High resolution 512x512
- Face Enhancement
- Tutorials: https://github.com/PaddlePaddle/PaddleGAN/blob/develop/docs/zh_CN/tutorials/motion_driving.md
New image translation ability--transfer photo into oil painting style:
- Complete tutorials for deployment: https://github.com/wzmsltw/PaintTransformer

Document Tutorial

Installation

Environment dependence:
- PaddlePaddle >= 2.1.0
- Python >= 3.6
- CUDA >= 10.1
Full installation tutorial

Starter Tutorial

Model Tutorial

Composite Application

Video restore

Online Tutorial

You can run those projects in the AI Studio to learn how to use the models above:

Online Tutorial	link
Motion Driving-multi-personal "Mai-ha-hi"	Click and Try
Restore the video of Beijing hundreds years ago	Click and Try
Motion Driving-When "Su Daqiang" sings "unravel"	Click and Try

Examples

Face Morphing

Image Translation

Old video restore

Motion driving

Super resolution

Makeup shifter

Face cartoonization

Realistic face cartoonization

Photo animation

Lip-syncing

Changelog

v2.1.0 (2021.12.8)
- Release a video super-resolution model PP-MSVSR and multiple pre-training weights
- Release several SOTA video super-resolution models and their pre-trained models such as BasicVSR, IconVSR and BasicVSR++
- Release the light-weight motion-driven model(Volume compression: 229M->10.1M), and optimized the fusion effect
- Release high-resolution FOMM and Wav2Lip pre-trained models
- Release several interesting applications based on StyleGANv2, such as face inversion, face fusion and face editing
- Released Baidu’s self-developed and effective style transfer model LapStyle and its interesting applications, and launched the official website experience page
- Release a light-weight image super-resolution model PAN
v2.0.0 (2021.6.2)
- Release Fisrt Order Motion model and multiple pre-training weights
- Release applications that support Multi-face action driven
- Release video super-resolution model EDVR and multiple pre-training weights
- Release the contents of 7-day punch-in training camp corresponding to PaddleGAN
- Enhance the robustness of PaddleGAN running on the windows platform
v2.0.0-beta (2021.3.1)
- Completely switch the API of Paddle 2.0.0 version.
- Release of super-resolution models: ESRGAN, RealSR, LESRCNN, DRN, etc.
- Release lip migration model: Wav2Lip
- Release anime model of Street View: AnimeGANv2
- Release face animation model: U-GAT-IT, Photo2Cartoon
- Release SOTA generation model: StyleGAN2
v0.1.0 (2020.11.02)
- Release first version, supported models include Pixel2Pixel, CycleGAN, PSGAN. Supported applications include video frame interpolation, super resolution, colorize images and videos, image animation.
- Modular design and friendly interface.

Community

Scan OR Code below to join [PaddleGAN QQ Group：1058398620], you can get offical technical support here and communicate with other developers/friends. Look forward to your participation!

PaddleGAN Special Interest Group（SIG）

It was first proposed and used by ACM（Association for Computing Machinery) in 1961. Top International open source organizations including Kubernates all adopt the form of SIGs, so that members with the same specific interests can share, learn knowledge and develop projects. These members do not need to be in the same country/region or the same organization, as long as they are like-minded, they can all study, work, and play together with the same goals~

PaddleGAN SIG is such a developer organization that brings together people who interested in GAN. There are frontline developers of PaddlePaddle, senior engineers from the world's top 500, and students from top universities at home and abroad.

We are continuing to recruit developers interested and capable to join us building this project and explore more useful and interesting applications together.

SIG contributions:

zhen8838: contributed to AnimeGANv2.
Jay9z: contributed to DCGAN and updated install docs, etc.
HighCWu: contributed to c-DCGAN and WGAN. Support to use paddle.vision.datasets.
hao-qiang & minivision-ai : contributed to the photo2cartoon project.

Contributing

Contributions and suggestions are highly welcomed. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring. When you submit a pull request, a CLA-bot will automatically determine whether you need to provide a CLA. Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA. For more, please reference contribution guidelines.

License

PaddleGAN is released under the Apache 2.0 license.

ppgan dependencies

easydict imageio imageio-ffmpeg librosa matplotlib munch natsort numba opencv-python pyyaml scikit-image scipy tqdm

FAQs

What is ppgan?

Awesome GAN toolkits based on PaddlePaddle. Visit Snyk Advisor to see a full health score report for ppgan, including popularity, security, maintenance & community analysis.

Is ppgan popular?

The python package ppgan receives a total of 761 weekly downloads. As such, ppgan popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is ppgan well maintained?

We found indications that ppgan is an Inactive project. See the full package health analysis to learn more about the package maintenance status.

Is ppgan safe to use?

While scanning the latest version of ppgan, we found that a security review is needed. A total of 0 vulnerabilities or license issues were detected. See the full security scan results.

Last updated on 30 April-2024, at 02:33 (UTC).

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Package Health Score

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Direct Usage Popularity

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Commit Frequency

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Readme

PaddleGAN

🎪 Hot Activities

🚀 Recent Updates

Document Tutorial

Installation

Starter Tutorial

Model Tutorial

Composite Application

Online Tutorial

Examples

Face Morphing

Image Translation

Old video restore

Motion driving

Super resolution

Makeup shifter

Face cartoonization

Realistic face cartoonization

Photo animation

Lip-syncing

Changelog

Community

PaddleGAN Special Interest Group（SIG）

Contributing

License

ppgan dependencies

FAQs

What is ppgan?

Is ppgan popular?

Is ppgan well maintained?

Is ppgan 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

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