facematch | Facematch is a tool to verifies if two photos | Computer Vision library

 by   danielgatis Python Version: 1.0.1 License: MIT

kandi X-RAY | facematch Summary

kandi X-RAY | facematch Summary

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

Facematch is a tool to verifies if two photos contain the same person.
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            kandi-support Support

              facematch has a low active ecosystem.
              It has 29 star(s) with 9 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              facematch has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of facematch is 1.0.1

            kandi-Quality Quality

              facematch has 0 bugs and 0 code smells.

            kandi-Security Security

              facematch has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              facematch code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              facematch is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              facematch releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              It has 128 lines of code, 4 functions and 5 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed facematch and discovered the below as its top functions. This is intended to give you an instant insight into facematch implemented functionality, and help decide if they suit your requirements.
            • Compare two images
            • Extract features from a PNG image
            • Concatenate two images
            Get all kandi verified functions for this library.

            facematch Key Features

            No Key Features are available at this moment for facematch.

            facematch Examples and Code Snippets

            No Code Snippets are available at this moment for facematch.

            Community Discussions

            QUESTION

            problem with importing @tensorflow/tfjs-node while working with face-api.js package (node.js)
            Asked 2021-Mar-21 at 08:25

            i use @tensorflow/tfjs-node package for face-api.js package to speed up things (as they said ) that is my code :

            ...

            ANSWER

            Answered 2021-Mar-21 at 08:25

            As explained in this github issue

            The version of face-api.js you are using is not compatible with tfjs 2.0+ or 3.0+, only obsolete 1.x. Why it worked before you added tfjs-node? because face-api.js actually includes bundled version of tfjs-core 1.x. Once you added tfjs-node, it overrode global tf namespace, but its a much newer version and not compatible.

            You must install obsolete tfjs-node 1.x OR follow the pointers they give to use a newer port of face-api.js that supports TF 2.0.

            Source https://stackoverflow.com/questions/65957329

            QUESTION

            Error with face-api - Error: toNetInput - expected media to be of type HTMLImageElement
            Asked 2020-Nov-24 at 03:41

            My name is Gabriel and I'm using face-api.js to apply FaceRecognition on my final essay, on my way to graduate.

            With the objective of trying the face-api and understand how it works, I created the following test.js:

            ...

            ANSWER

            Answered 2020-Nov-24 at 03:41

            I did post an Issue to github Face-API page, and there I was able to found a solution, so, if anyone would like to see it: https://github.com/justadudewhohacks/face-api.js/issues/729 Thanks for your time!

            Source https://stackoverflow.com/questions/64885371

            QUESTION

            Amazon Rekogntion Image: error InvalidImageFormatException: Request has invalid image format
            Asked 2020-Nov-18 at 22:16

            I am trying to compare faces calling AWS Rekognition from a Node.Js application. When comparing two images on a S3 bucket, all went fine, but when i tried to upload a local image from the client (React Native/Expo app) to compare with another image stored on this bucket, i got the error InvalidImageFormatException: Request has invalid image format.

            This image is a jpeg 250px square and was sent as a valid base64 string (atob tested). Aparently, it meets the requisites presented here: https://docs.aws.amazon.com/rekognition/latest/dg/limits.html.

            Below, some code snippets:

            Capturing the image:

            ...

            ANSWER

            Answered 2020-Nov-18 at 22:16

            Solved!

            Two tweaks are needed. first, encode the sourceImg file using encodeURIComponent:

            const sourceImage = encodeURIComponent(sourceImg);

            On the server, I should create a Buffer, instead of sending the base64 string:

            const imageBuffer = Buffer.from(decodeURIComponent(SourceImage), 'base64');

            So, the body sent to AWS should be:

            Source https://stackoverflow.com/questions/64789544

            QUESTION

            How to promise in a nested Asynchronous operations
            Asked 2020-Apr-02 at 00:35

            I've been struggling to figure out how to do this for the past two hours. But I can't seem to get the Promise to wait for my searchFacesFunc to complete before it solves. What is the correct way to do so?

            ...

            ANSWER

            Answered 2020-Apr-02 at 00:35

            If the rekognition.indexFaces function accepts an asynchronous callback, you can solve this issue easily:

            Source https://stackoverflow.com/questions/60982407

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

            Vulnerabilities

            No vulnerabilities reported

            Install facematch

            Install it from pypi.

            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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            Install
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            pip install facematch

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            https://github.com/danielgatis/facematch.git

          • CLI

            gh repo clone danielgatis/facematch

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            git@github.com:danielgatis/facematch.git

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