FaceRec | A Tensorflow implementation of Facial Recognition in Python | Computer Vision library

by vudung45 Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(5)Vulnerabilities Install Support

kandi X-RAY | FaceRec Summary

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

A simple working facial recognition program.

Support

Quality

Security

License

Reuse

Support

FaceRec has a low active ecosystem.

It has 205 star(s) with 128 fork(s). There are 23 watchers for this library.

It had no major release in the last 6 months.

There are 30 open issues and 21 have been closed. On average issues are closed in 67 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of FaceRec is current.

Quality

FaceRec has 0 bugs and 0 code smells.

Security

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

FaceRec code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

FaceRec 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

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

FaceRec 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.

Top functions reviewed by kandi - BETA

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

Recogenerate camera
Returns the position of a triangle
Calculate the tfrom between two shapes
Align the image to the given size
Embed inception resnet v1d
A layer reduction op
A block of Tensors
Inception resnetv1
Setup the module
Feed a layer
Define layer
Convolution layer
Decorator to define a layer
Return a unique name
Setup the network
Creates the user s manual data set
Setup neural network

Get all kandi verified functions for this library.

FaceRec Key Features

No Key Features are available at this moment for FaceRec.

FaceRec Examples and Code Snippets

No Code Snippets are available at this moment for FaceRec.

Community Discussions

Trending Discussions on FaceRec

Recognizer.read('trainer/trainer.yml) could not find trainer.yml file

Can I have more than one path which starts :id in the Angular route

wrting to csv file in c++ fails

how to load your tflite model on coral dev board?

Docker: Failed building wheel for scipy

QUESTION

Recognizer.read('trainer/trainer.yml) could not find trainer.yml file

Asked 2021-Jun-13 at 04:10

I'm trying to run this code but it did not because I am not able to download this file from GitHub. Is there anyone who knows how I can download this file?

This is the link to the file with the filename face-trainner.yml: https://github.com/codingforentrepreneurs/OpenCV-Python-Series/tree/…

I'm getting this error when running my program:

...

ANSWER

Answered 2021-Jun-12 at 21:14

Go to the main section of the GitHub repository: https://github.com/codingforentrepreneurs/OpenCV-Python-Series

Press the code button and then download as zip.
Unzip the file in your downloads.
Navigate to src/recognisers and the file face-trainner.yml should be there.
Use that file how you want in your project (discard of the rest if you have no need for it).

Also make sure that you have typed the correct file name in your program with the two 'n's (face-trainner.yml not face-trainer.yml)

Source https://stackoverflow.com/questions/67952870

QUESTION

Can I have more than one path which starts :id in the Angular route

Asked 2021-Feb-18 at 18:46

I am dealing with an error at the app-routing.module.ts

I have different routes with different component but instead they have the path not as string defined in module but as link and defined from outside. My problem is that if I use two {path: ":id"} then always it goes to the first component although i say to navigate to the second path.

I have user which accepts path: ":id". Pages which accepts path: ":id" and groups and other components.

My route it looks like this.

...

ANSWER

Answered 2021-Feb-18 at 18:46

My problem is that if I use two {path: ":id"} then always it goes to the first component although i say to navigate to the second path.

That's how angular routing is supposed to behave.

Honestly, that routing file is too cluttered. Consider using sub-modules and sub-module routing https://angular.io/guide/ngmodules

Consider simpler approaches. Instead of routing

Source https://stackoverflow.com/questions/66260680

QUESTION

wrting to csv file in c++ fails

Asked 2020-Jul-02 at 08:35

Im working with this code which is supposed to detect faces. The code works totally fine, but as soon as I try to insert three lines for writing to csv file, it breaks down with lengthy error of some 100+ lines -ERROR FILE LOG.

This code was taken from :- https://github.com/shunyaos/shunyaface

...

ANSWER

Answered 2020-Jul-02 at 08:35

You forget to end this line cout<< "In while"<<.

Somewhere in your code is this snippet

Source https://stackoverflow.com/questions/62691761

QUESTION

how to load your tflite model on coral dev board?

Asked 2020-Mar-18 at 06:56

I have used facenet model and converted it to tflite. Now I want to use this repo https://github.com/vudung45/FaceRec with facenet model and implement on coral dev board? What should be the structure of my whole folder and how to implement it? how can i load tflite model on dev board?

...

ANSWER

Answered 2020-Jan-22 at 19:15

If you have a fully quantized model that meets all of the requirements, then the next step is to use the edgetpu_compiler to compile your model to be use with the tpu. I have a more detailed answer to similar question here

Source https://stackoverflow.com/questions/59853142

QUESTION

Docker: Failed building wheel for scipy

Asked 2020-Mar-18 at 00:50

I'm trying for facerecogition from (https://github.com/jamct/facerec) on my raspberry pi 3. Therefore the by runs with the newest version of Raspbian Stretch.

I am running:

...

ANSWER

Answered 2020-Mar-18 at 00:50

You have to install Pybind11 before building SciPy:

Source https://stackoverflow.com/questions/60731057

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

Vulnerabilities

No vulnerabilities reported

Install FaceRec

You can download it from GitHub.
You can use FaceRec 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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