FeatherNets_Face-Anti-spoofing-Attack-Detection-Challenge-CVPR2019 | 3rd Place Solution in Face Anti | Computer Vision library

by SoftwareGift Python Version: Current License: Non-SPDX

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

kandi X-RAY | FeatherNets_Face-Anti-spoofing-Attack-Detection-Challenge-CVPR2019 Summary

FeatherNets_Face-Anti-spoofing-Attack-Detection-Challenge-CVPR2019 is a Python library typically used in Artificial Intelligence, Computer Vision, Pytorch applications. FeatherNets_Face-Anti-spoofing-Attack-Detection-Challenge-CVPR2019 has no vulnerabilities and it has medium support. However FeatherNets_Face-Anti-spoofing-Attack-Detection-Challenge-CVPR2019 has 5 bugs, it build file is not available and it has a Non-SPDX License. You can download it from GitHub.

Code for 3rd Place Solution in Face Anti-spoofing Attack Detection Challenge @ CVPR2019,model only 0.35M!!! 1.88ms(CPU)

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FeatherNets_Face-Anti-spoofing-Attack-Detection-Challenge-CVPR2019 has a medium active ecosystem.

It has 859 star(s) with 279 fork(s). There are 48 watchers for this library.

It had no major release in the last 6 months.

There are 78 open issues and 25 have been closed. On average issues are closed in 29 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of FeatherNets_Face-Anti-spoofing-Attack-Detection-Challenge-CVPR2019 is current.

Quality

FeatherNets_Face-Anti-spoofing-Attack-Detection-Challenge-CVPR2019 has 5 bugs (1 blocker, 0 critical, 4 major, 0 minor) and 102 code smells.

Security

FeatherNets_Face-Anti-spoofing-Attack-Detection-Challenge-CVPR2019 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

FeatherNets_Face-Anti-spoofing-Attack-Detection-Challenge-CVPR2019 code analysis shows 0 unresolved vulnerabilities.

There are 1 security hotspots that need review.

License

FeatherNets_Face-Anti-spoofing-Attack-Detection-Challenge-CVPR2019 has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

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FeatherNets_Face-Anti-spoofing-Attack-Detection-Challenge-CVPR2019 releases are not available. You will need to build from source code and install.

FeatherNets_Face-Anti-spoofing-Attack-Detection-Challenge-CVPR2019 has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed FeatherNets_Face-Anti-spoofing-Attack-Detection-Challenge-CVPR2019 and discovered the below as its top functions. This is intended to give you an instant insight into FeatherNets_Face-Anti-spoofing-Attack-Detection-Challenge-CVPR2019 implemented functionality, and help decide if they suit your requirements.

Validate the model
Calculate the ROC curve
Compute accuracy
Update the statistics
Train the model
Creates a fish
Make a single stage
Make a score for a given channel
Create a selenium block
Compute the speed of the model
Creates a fishnet
Builds a fish network
Calculate the best score for a given set of scores
Compute the Fecth score for the Fecth score
Calculate the number of errors
Compute the split score for a given directory
Compute the Fecth score of a Fecth score
Counts the number of params required by the model
Calculate flops for the given model
Create a MobileNetV2 model
Loads weights from a checkpoint file
Adjust learning rate
Forward the features at the given position
Build a feature forward layer

Get all kandi verified functions for this library.

FeatherNets_Face-Anti-spoofing-Attack-Detection-Challenge-CVPR2019 Key Features

No Key Features are available at this moment for FeatherNets_Face-Anti-spoofing-Attack-Detection-Challenge-CVPR2019.

FeatherNets_Face-Anti-spoofing-Attack-Detection-Challenge-CVPR2019 Examples and Code Snippets

No Code Snippets are available at this moment for FeatherNets_Face-Anti-spoofing-Attack-Detection-Challenge-CVPR2019.

Community Discussions

Trending Discussions on FeatherNets_Face-Anti-spoofing-Attack-Detection-Challenge-CVPR2019

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 FeatherNets_Face-Anti-spoofing-Attack-Detection-Challenge-CVPR2019

download fishnet150 pretrained model from FishNet150 repo(Model trained without tricks ). download mobilenetv2 pretrained model from MobileNet V2 repo,or download from here,link: https://pan.baidu.com/s/11Hz50zlMyp3gtR9Bhws-Dg password: gi46 move them to ./checkpoints/pre-trainedModels/.

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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