ArcFace | 虹软的人脸识别V1.2、人证对比、活体检测封装

 by   tyhjh Java Version: Current License: No License

kandi X-RAY | ArcFace Summary

kandi X-RAY | ArcFace Summary

ArcFace is a Java library. ArcFace has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.


            kandi-support Support

              ArcFace has a low active ecosystem.
              It has 90 star(s) with 26 fork(s). There are 4 watchers for this library.
              It had no major release in the last 6 months.
              There are 4 open issues and 1 have been closed. On average issues are closed in 28 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of ArcFace is current.

            kandi-Quality Quality

              ArcFace has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              ArcFace 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.

            kandi-Reuse Reuse

              ArcFace 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 are not available. Examples and code snippets are available.
              ArcFace saves you 673 person hours of effort in developing the same functionality from scratch.
              It has 1559 lines of code, 121 functions and 30 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed ArcFace and discovered the below as its top functions. This is intended to give you an instant insight into ArcFace implemented functionality, and help decide if they suit your requirements.
            • Initialize window
            • Encodes the supplied image into YUV420SP
            • Encodes a bitmap from a bitmap
            • Open camera
            • Read input card data
            • Set up the button
            • Set click listener
            • Active engine
            • Show dialog
            • Find the index of the max area in the list
            • Get face match
            • Deep copy
            • Destroys the engine
            • Set the size of the preview dialog
            • Initialize the arcface
            Get all kandi verified functions for this library.

            ArcFace Key Features

            No Key Features are available at this moment for ArcFace.

            ArcFace Examples and Code Snippets

            No Code Snippets are available at this moment for ArcFace.

            Community Discussions


            Tensorflow dataset with multiple inputs and target
            Asked 2021-May-21 at 16:12

            I am trying to implement a model with the ArcFace Layer:

            to this extend I created a like so:



            Answered 2021-May-21 at 15:02

            I think you should do it like this:



            import error of ArcFace using python in jupyternotebbok
            Asked 2020-Dec-15 at 08:41

            When I am importing the package ArcFace.



            Answered 2020-Sep-11 at 08:54

            This is part of project keras-arcface but it is not part of keras so you have to install/copy it separatelly.

            If you put it in your project in subfolder arcface then it should work.



            Why loaded Pytorch model's loss highly increased?
            Asked 2020-Oct-27 at 17:03

            I'm trying to train Arcface with reference to.

            As far as I know, Arcface requires more than 200 training epochs on CASIA-webface with a large batch size.

            Within 100 epochs of training, I stopped the training for a while because I was needed to use GPU for other tasks. And the checkpoints of the model(Resnet) and margin are saved. Before it was stopped, its loss recorded a value between 0.3~1.0, and training accuracy was mount to 80~95%.

            When I resume the Arcface training by loading the checkpoint files using load_sate, it seems normal when the first batch is processed. But suddenly the loss increased sharply and the accuracy became very low.

            Its loss suddenly became increased. How did this happen? I had no other way so anyway continued the training, but I don't think the loss is decreasing well even though it is a trained model over 100 epochs...

            When I searched for similar issues, they told the problem was that the optimizer was not saved (Because the reference github page didn't save the optimizer, so did I. Is it true?

            My losses after loading



            Answered 2020-Oct-27 at 17:03

            if you see this line! you are Decaying the learning rate of each parameter group by gamma. This has altered your learning rate as you had reached 100th epoch. and moreover you had not saved your optimizer state while saving your model.
            This made your code to start with the starting lr i.e 0.1 after resuming your training. And this spiked your loss again.

            Vote if you find this useful



            How to fix "IndexError('Slicing stop %d exceeds limit of %d' % (stop, length))" error in python
            Asked 2019-Jul-04 at 14:29

            I had a problem, when i apply arcface implementation from this repo, i got error.

            From this line code:



            Answered 2019-Jul-04 at 14:29

            You are passing a NDArray to DataBatch when DataBatch is accepting an array of NDArrays, each array being of size batch_size.

            Can you try this?


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


            No vulnerabilities reported

            Install ArcFace

            You can download it from GitHub.
            You can use ArcFace like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the ArcFace component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer For Gradle installation, please refer .


            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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