Cognitive-Face-Python | Python SDK for the Microsoft Face API | Computer Vision library

by microsoft Python Version: 1.4.2 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | Cognitive-Face-Python Summary

Cognitive-Face-Python is a Python library typically used in Artificial Intelligence, Computer Vision, Xamarin applications. Cognitive-Face-Python has no bugs, it has no vulnerabilities, it has build file available and it has low support. However Cognitive-Face-Python has a Non-SPDX License. You can download it from GitHub.

This SDK has been deprecated and been replaced by Microsoft.Azure.CognitiveServices.Vision.Face which is a part of Azure SDK. This repo contains the Python SDK for the Microsoft Face API, an offering within Microsoft Cognitive Services, formerly known as Project Oxford.

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Cognitive-Face-Python has a low active ecosystem.

It has 229 star(s) with 148 fork(s). There are 73 watchers for this library.

It had no major release in the last 12 months.

There are 9 open issues and 27 have been closed. On average issues are closed in 84 days. There are 6 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of Cognitive-Face-Python is 1.4.2

Quality

Cognitive-Face-Python has 0 bugs and 25 code smells.

Security

Cognitive-Face-Python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Cognitive-Face-Python code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Cognitive-Face-Python has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

Cognitive-Face-Python releases are available to install and integrate.

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

Installation instructions, examples and code snippets are available.

Cognitive-Face-Python saves you 1090 person hours of effort in developing the same functionality from scratch.

It has 2467 lines of code, 178 functions and 36 files.

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

Top functions reviewed by kandi - BETA

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

Callback for face verification
Verify a face
Make a request to the Cognitive face API
Get base URL
Image selection handler
Parse an image
Returns a list of similars
Detects the face of an image
File selection handler
Logs a message to the console
Get training status for a large person group
Get a specific face
Deletes a face from a face list
List allisted faces in a large list
Delete a persisted face list
Get a single person
List person groups
Update a face list
Update a persisted face
Create a person group
Open image dialog
Add an image to a person group
Adds a person to a person
Open folder dialog
Open face dialog
Train a large person group

Get all kandi verified functions for this library.

Cognitive-Face-Python Key Features

No Key Features are available at this moment for Cognitive-Face-Python.

Cognitive-Face-Python Examples and Code Snippets

No Code Snippets are available at this moment for Cognitive-Face-Python.

Community Discussions

Trending Discussions on Cognitive-Face-Python

Azure Face Cognitive Service takes to long to return

Cognitive Services: Face Identification

QUESTION

Azure Face Cognitive Service takes to long to return

Asked 2019-Jul-15 at 08:02

I'm using Microsoft Azure Face to detect the age and gender from webcam pictures.

The code I'm using is from this Microsoft repository: https://github.com/Microsoft/Cognitive-Face-Python/tree/master/cognitive_face

The response time is taking around 2.5 to 3.5 seconds and, in my application case, this is too long.

Since I'm still using azure free account, the server is West Central US (which is not the closest to my server).

Beside changing the server, Is there any other thing I can do to reduce the response time? Or any cloud service will work like this? Then, I'll only be able to reduce the time by changing to a local SDK from other supplier.

...

ANSWER

Answered 2018-Jun-01 at 18:28

The network latency is probably what you'll have to focus on, the size of the image, also the pricing tier you're using for how many transactions you have per minute, and how many parameters you are requesting.

Source https://stackoverflow.com/questions/50634634

QUESTION

Cognitive Services: Face Identification

Asked 2018-Apr-10 at 19:32

is it possible to add new persons to group afterwards, without re-submitting and re-training everything every time a new person is added?

The sample application (https://github.com/Microsoft/Cognitive-Face-Python) requires images per person in separate directories, to be submitted as a group.

...

ANSWER

Answered 2018-Apr-10 at 19:32

You can add persons to a group anytime you want as long as you don't exceed the limits. However in order for the new persons (or the faces you added for the existing persons) to be used in the "Identify" process you need to call "train". Otherwise newly added persons (or faces) won't be found.

Source https://stackoverflow.com/questions/49735043

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

Vulnerabilities

No vulnerabilities reported

Install Cognitive-Face-Python

Install the module using pip:.

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