ArcFace | 虹软的人脸识别V1.2、人证对比、活体检测封装
kandi X-RAY | ArcFace Summary
kandi X-RAY | ArcFace Summary
ArcFace
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Top functions reviewed by kandi - BETA
- 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
ArcFace Key Features
ArcFace Examples and Code Snippets
Community Discussions
Trending Discussions on ArcFace
QUESTION
I am trying to implement a model with the ArcFace Layer: https://github.com/4uiiurz1/keras-arcface
to this extend I created a tf.data.dataset like so:
...ANSWER
Answered 2021-May-21 at 15:02I think you should do it like this:
QUESTION
When I am importing the package ArcFace.
...ANSWER
Answered 2020-Sep-11 at 08:54This 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.
QUESTION
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?
...ANSWER
Answered 2020-Oct-27 at 17:03if 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.
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QUESTION
I had a problem, when i apply arcface implementation from this repo, i got error.
From this line code:
...ANSWER
Answered 2019-Jul-04 at 14:29You 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
Vulnerabilities
No vulnerabilities reported
Install ArcFace
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 maven.apache.org. For Gradle installation, please refer gradle.org .
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