FaceRecog | Realtime Facial recognition system | Computer Vision library

by susantabiswas Python Version: Current License: MIT

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

kandi X-RAY | FaceRecog Summary

FaceRecog is a Python library typically used in Artificial Intelligence, Computer Vision, OpenCV applications. FaceRecog has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Realtime Facial recognition system using Siamese neural network

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Support

FaceRecog has a low active ecosystem.

It has 48 star(s) with 21 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 8 have been closed. On average issues are closed in 152 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of FaceRecog is current.

Quality

FaceRecog has no bugs reported.

Security

FaceRecog has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

FaceRecog 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

FaceRecog releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Recognize a face video
Detect the face of the given bounding box
Euclidean distance between two vectors
Gets all theacial data
Registers a webcam
Register a face
Save the given facial data
Add face data to cache
Create a logger
Create a file handler
Create a console handler
Returns a list of facial details
Deserialize data into a list
Get all the facial data
Get the logger

Get all kandi verified functions for this library.

FaceRecog Key Features

No Key Features are available at this moment for FaceRecog.

FaceRecog Examples and Code Snippets

No Code Snippets are available at this moment for FaceRecog.

Community Discussions

Trending Discussions on FaceRecog

python tflearn - ValueError: Cannot feed value of shape (10, 250, 250, 3) for Tensor 'TargetsData/Y:0', which has shape '(?, 2)'

QUESTION

python tflearn - ValueError: Cannot feed value of shape (10, 250, 250, 3) for Tensor 'TargetsData/Y:0', which has shape '(?, 2)'

Asked 2017-Feb-03 at 23:53

I am trying to create a model to recognize faces. But I keep running into this error and none of the other answers to similar questions have solved this particular problem. The code is the following:

...

ANSWER

Answered 2017-Feb-03 at 23:53

Your input is of shape (?, 250, 250, 3) (based on the comment at the beginning and on the fact that you use Convolution layers early on), your output is of shape (?, 2) (based on the fast that your last layer is a fully connected layer with 2 output neurons). Yet, you feed the same dataset to both:

Source https://stackoverflow.com/questions/42032429

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

Vulnerabilities

No vulnerabilities reported

Install FaceRecog

There are multiple ways to set this up.

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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