Face-Anti-spoofing | Face Anti-spoofing demo | Computer Vision library

by lbf4616 C++ Version: Current License: No License

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

kandi X-RAY | Face-Anti-spoofing Summary

Face-Anti-spoofing is a C++ library typically used in Artificial Intelligence, Computer Vision, OpenCV applications. Face-Anti-spoofing has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Face Anti-spoofing demo to detect print, video replay, and mask attack by using LBP features and rPPG features.

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Quality

Security

License

Reuse

Support

Face-Anti-spoofing has a low active ecosystem.

It has 38 star(s) with 21 fork(s). There are 2 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 Face-Anti-spoofing is current.

Quality

Face-Anti-spoofing has no bugs reported.

Security

Face-Anti-spoofing has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Face-Anti-spoofing 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

Face-Anti-spoofing releases are not available. You will need to build from source code and install.

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Face-Anti-spoofing Key Features

No Key Features are available at this moment for Face-Anti-spoofing.

Face-Anti-spoofing Examples and Code Snippets

No Code Snippets are available at this moment for Face-Anti-spoofing.

Community Discussions

Trending Discussions on Face-Anti-spoofing

Pytorch : AttributeError: 'function' object has no attribute 'cuda'

QUESTION

Pytorch : AttributeError: 'function' object has no attribute 'cuda'

Asked 2020-Apr-30 at 11:47

import torch
import models
model_names = sorted(name for name in models.__dict__
                     if name.islower() and not name.startswith("__")
                     and callable(models.__dict__[name]))
model = models.__dict__['resnet18']
model = torch.nn.DataParallel(model,device_ids = [0])  #PROBLEM CAUSING LINE
model.to('cuda:0')

...

ANSWER

Answered 2020-Jan-11 at 11:43

Replace

Source https://stackoverflow.com/questions/59678247

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

Vulnerabilities

No vulnerabilities reported

Install Face-Anti-spoofing

You can download it from GitHub.

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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