keras-vggface | VGGFace implementation with Keras Framework | Machine Learning library

by rcmalli Python Version: 0.6 License: MIT

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

kandi X-RAY | keras-vggface Summary

keras-vggface is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Keras applications. keras-vggface has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has high support. You can install using 'pip install keras-vggface' or download it from GitHub, PyPI.

VGGFace implementation with Keras Framework

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Quality

Security

License

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Support

keras-vggface has a highly active ecosystem.

It has 851 star(s) with 370 fork(s). There are 39 watchers for this library.

It had no major release in the last 12 months.

There are 28 open issues and 36 have been closed. On average issues are closed in 239 days. There are 13 open pull requests and 0 closed requests.

It has a positive sentiment in the developer community.

The latest version of keras-vggface is 0.6

Quality

keras-vggface has 0 bugs and 0 code smells.

Security

keras-vggface has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

keras-vggface code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

keras-vggface is licensed under the MIT License. This license is Permissive.

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

Reuse

keras-vggface releases are available to install and integrate.

Deployable package is available in PyPI.

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

Create a VGG face Dataset
VGG16
Constructs a SENET50 image
Resnet50
Convolution block
ResNet convolution block
SENS identity block
Resnet identity block
Sensure Tensors

Get all kandi verified functions for this library.

keras-vggface Key Features

No Key Features are available at this moment for keras-vggface.

keras-vggface Examples and Code Snippets

No Code Snippets are available at this moment for keras-vggface.

Community Discussions

Trending Discussions on keras-vggface

Cannot use vggface-keras in Tensorflow 2.0

QUESTION

Cannot use vggface-keras in Tensorflow 2.0

Asked 2020-Jan-16 at 08:11

I am trying to use the keras-vggface library from https://github.com/rcmalli/keras-vggface to train a CNN. I have installed tensorflow 2.0.0-rc1, keras 2.3.1, cuda 10.1, cudnn 7.6.5 and the driver's version is 418, the problem is that when i try to use the vggface model, as a convolutional base, i get an error, here is the code and the error

...

ANSWER

Answered 2020-Jan-16 at 08:11

The problem is incompatibility between keras and tf.keras. The library you are using (vggface-keras), uses keras, while your code uses tf.keras. This won't work.

The only possible solutions is you to use keras for your whole pipeline, or for you to modify the vggface-keras library to use tf.keras, including modifying all imports and fixing any bugs that appear.

Source https://stackoverflow.com/questions/59763562

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

Vulnerabilities

No vulnerabilities reported

Install keras-vggface

You can install using 'pip install keras-vggface' or download it from GitHub, PyPI.
You can use keras-vggface 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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