FaceQuality | Simple Explicit Quality Network for Face Recognition | Machine Learning library

by deepcam-cn Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | FaceQuality Summary

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

An implementation of EQFace: A Simple Explicit Quality Network for Face Recognition (CVPR2021 AMFG Workshop)

Support

Quality

Security

License

Reuse

Support

FaceQuality has a low active ecosystem.

It has 42 star(s) with 6 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 6 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of FaceQuality is current.

Quality

FaceQuality has no bugs reported.

Security

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

License

FaceQuality 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

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

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

Performs a single evaluation
Calculate accuracy
R Evaluate the ROC curve
L2 norm of input
Flips a batch of images
Crop batch of images
Calculate the ROC correlation coefficient
Generate the plot
Train the image
Compute the accuracy of the target
Get current time
Update the statistics
Load model state dict
Step a given time t
Calculate the distance between two embeddings
Calculate the val and the distance between a threshold
Get the data from the data file
Load a value pair
Step the optimizer
Loads state_dict from model

Get all kandi verified functions for this library.

FaceQuality Key Features

No Key Features are available at this moment for FaceQuality.

FaceQuality Examples and Code Snippets

No Code Snippets are available at this moment for FaceQuality.

Community Discussions

Trending Discussions on FaceQuality

NodeJS same results for two different requests

Affectiva drops every second frame

Converting a Curl Command to python

QUESTION

NodeJS same results for two different requests

Asked 2019-Oct-29 at 11:15

SOLVED THANKS TO @Patrick Evans

I am creating my own web project and i need some help. At the website, the client is requested to upload a face photo. Then , when the client presses "upload" button , his photo is sent with a request to "face++" api which gives back details about the photo such as emotions and gender, at a different ejs page. At the new page the client sees his photo and below are the details about his photo.

It works fine , but when the client gets back to the homepage, and chooses a different new photo, then presses upload , he sees his new photo that he chose, but gets the same details as were at the last photo (details from face++ api).

I use the following:

express.
unirest for making the request to "face++" api.
cloudinary for having a url, and using the url at the face++ request(the url represents the client's photo).
multer for storing at local drive.

When i print out the details which return from "face++" api , at the "requestFromApi.end()" function , i already notice the details havent changed from prior request, but i do notice at cloudinary that a different photo was uploaded.

I attached my app.js code.

Thanks alot for any help :)

...

ANSWER

Answered 2019-Oct-29 at 11:15

SOLVED THANKS TO @Patrick Evans [1]: https://stackoverflow.com/users/560593/patrick-evans

I had to make sure i call "Unirest" at every single Post request, and not just at the beginning of the execution.

Source https://stackoverflow.com/questions/58542165

QUESTION

Affectiva drops every second frame

Asked 2019-Jun-19 at 16:01

I am running Affectiva SDK 4.0 on a GoPro video recording. I'm using a C++ program on Ubuntu 16.04. The GoPro video was recorded with 60 fps. The problem is that Affectiva only provides results for around half of the frames (i.e. 30 fps). If I look at the timestamps provided by Affectiva, the last timestamp matches the video duration, that means Affectiva somehow skips around every second frame.

Before running Affectiva I was running ffmpeg with the following command to make sure that the video has a constant frame rate of 60 fps:

...

ANSWER

Answered 2019-Jun-17 at 02:34

If the video frame rate is 60 use a number higher than 60 to process all frames. IIRC if you just use 61 or 62 you should get the correct number of frames.

Source https://stackoverflow.com/questions/56623006

QUESTION

Converting a Curl Command to python

Asked 2018-Sep-21 at 06:51

$ curl -X POST "https://api- 
us.faceplusplus.com/facepp/v3/detect" -F 
"api_key=" \
-F "api_secret" \
-F "image_url=" \
-F "return_landmark=1"

...

ANSWER

Answered 2018-Sep-21 at 06:51

According to FacePlusPlus's documentation, image_file should be a file instead of a path, so you should post the file binary with:

Source https://stackoverflow.com/questions/52437700

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

Vulnerabilities

No vulnerabilities reported

Install FaceQuality

You can download it from GitHub.
You can use FaceQuality 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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