yolo-face | use yolo v2 to train face detection model on CelebA dataset | Computer Vision library

by imistyrain Python Version: Current License: No License

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kandi X-RAY | yolo-face Summary

yolo-face is a Python library typically used in Artificial Intelligence, Computer Vision, Deep Learning, Tensorflow applications. yolo-face has no bugs, it has no vulnerabilities and it has low support. However yolo-face build file is not available. You can download it from GitHub.

use yolo v2 to train face detection model on CelebA dataset

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yolo-face has a low active ecosystem.

It has 62 star(s) with 25 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 5 have been closed. On average issues are closed in 234 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of yolo-face is current.

Quality

yolo-face has 0 bugs and 0 code smells.

Security

yolo-face has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

yolo-face code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

yolo-face 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.

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yolo-face releases are not available. You will need to build from source code and install.

yolo-face has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

It has 19 lines of code, 1 functions and 1 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Convert string to label

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yolo-face Key Features

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yolo-face Examples and Code Snippets

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Community Discussions

Trending Discussions on yolo-face

TypeError: Cannot create initializer for non-floating point type . When running "train_tripletloss.py"

QUESTION

TypeError: Cannot create initializer for non-floating point type . When running "train_tripletloss.py"

Asked 2021-Apr-07 at 03:19

I am new at tensorflow and models training. I am using the face recognition algorithm based on yolo and facenet. i am now trying to train my own model. But i get an error everytime I do so. I would be very grateful to you if you help me solve it. Thank you in advance. here is the link to the code : https://github.com/AzureWoods/faceRecognition-yolo-facenet/blob/master/train_tripletloss.py

here is t the error:

...

ANSWER

Answered 2021-Apr-07 at 03:19

Try add image = tf.to_float(image) in train_tripleloss.py where the below screenshot indicates.

Source https://stackoverflow.com/questions/66737908

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

Vulnerabilities

No vulnerabilities reported

Install yolo-face

You can download it from GitHub.
You can use yolo-face 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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