BlazeFace | millisecond Neural Face Detection on Mobile GPUs 及其Pytorch实现 | Computer Vision library

by shanglianlm0525 Python Version: Current License: No License

X-Ray Key Features Code Snippets(1)Community Discussions(8)Vulnerabilities Install Support

kandi X-RAY | BlazeFace Summary

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

BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs 及其Pytorch实现.

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Quality

Security

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Support

BlazeFace has a low active ecosystem.

It has 66 star(s) with 18 fork(s). There are 13 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 0 have been closed. On average issues are closed in 407 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of BlazeFace is current.

Quality

BlazeFace has 0 bugs and 0 code smells.

Security

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

BlazeFace code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

BlazeFace 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

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

BlazeFace has no build file. You will be need to create the build yourself to build the component from source.

It has 102 lines of code, 7 functions and 1 files.

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

Top functions reviewed by kandi - BETA

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

Initialize the doubleBlaze block .
Initializes the module .
Convert x to y

Get all kandi verified functions for this library.

BlazeFace Key Features

No Key Features are available at this moment for BlazeFace.

BlazeFace Examples and Code Snippets

Calculate kl divergence .

python

Lines of Code : 43

License : Non-SPDX (Apache License 2.0)

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def metrics(expected_box_encodings, expected_scores, actual_box_encodings,
            actual_scores):
  """Calculate metrics from expected and actual blazeface outputs.

  Args:
    expected_box_encodings: box encodings from model
    expected_score

Community Discussions

Trending Discussions on BlazeFace

Tensorflow js server side classification with mobilenet and blazeface

Tensorflow Js No backend found in registery blazeface

How to print a message on browser using javascript and HTML

WASM backend for tensorflowjs throws "Unhandled Rejection (RuntimeError): index out of bounds" error in Reactjs

Tensorflow.js cropping image return zeros tensor

Size(27900) must match the product of shape 1,224,224,3

How do I crop faces based on bounding boxes in Tensorflow.js?

Inconsistent behavior from getUserMedia in insecure context

QUESTION

Tensorflow js server side classification with mobilenet and blazeface

Asked 2021-Feb-13 at 21:55

I'm trying to use tensorflowjs with an already built model, at the beginning I had a problem with blazeface because it didn't find face on photo (that display just faces) and so I'm trying with mobilenet and same probleme the result are non sens. So pretty sur it came from the format of image I'm sending.

So this is my code:

...

ANSWER

Answered 2021-Feb-13 at 21:43

By using a tensor, a video or image element as parameter to the model, it will be able to do the classification.

Source https://stackoverflow.com/questions/66189556

QUESTION

Tensorflow Js No backend found in registery blazeface

Asked 2021-Feb-13 at 19:30

I'm trying to know if there is some face on an image and so I'm using tensorflow JS with blazeface model. But after getting the code an error appear:

...

ANSWER

Answered 2021-Feb-13 at 19:30

Seems that you can do two things.

Install @tensorflow/tfjs-node and use tf: require("@tensorflow/tfjs-node"), Or you can use this.tf.getBackend(); (even with this tf: require("@tensorflow/tfjs"))

Source https://stackoverflow.com/questions/66187918

QUESTION

How to print a message on browser using javascript and HTML

Asked 2020-Dec-15 at 03:42

I am currently working on face detection on a browser. Below is the snippet for my java script code. it detect the bounding boxes when face is visible in the screen. I want to print a message on the canvas when the face is not detected by my model. In that case predictions.length will be equal to 0 here is my code ,how do I modify it for my functionality

...

ANSWER

Answered 2020-Dec-15 at 03:30

Check the predictions length
If no predictions, render an error message in the canvas

Source https://stackoverflow.com/questions/65299195

QUESTION

WASM backend for tensorflowjs throws "Unhandled Rejection (RuntimeError): index out of bounds" error in Reactjs

Asked 2020-Oct-25 at 14:42

I am trying to set up a WASM back-end for blazeface face detection model in a react app. Although the demo with the vanillajs can run it without any error for hours, in react it throws "Unhandled Rejection (RuntimeError): index out of bounds error" after leaving the cam open for more than 3-5 minutes.

Entire app crashes with this error. From the log of the error below, maybe it is related to disposeData() or disposeTensor() functions which to my guess, they are related to garbage collecting. But I don't know if it is a bug from the WASM lib itself or not. Do you have any idea why this might happen?

Below I provide my render prediction function as well.

...

ANSWER

Answered 2020-Oct-25 at 14:42

After using a tensor to make predictions you will need to free the tensor up from the devices memory otherwise it will build up and the cause a potential error you are having. This can simply be done using tf.dispose() to manually specify the place at which you want to dispose the tensors. You do it right after making predictions on the tensor.

Source https://stackoverflow.com/questions/64499856

QUESTION

Tensorflow.js cropping image return zeros tensor

Asked 2020-Sep-18 at 18:21

I have a custom model which takes in cropped faces from BlazeFace Model then outputs a prediction of 3 classes.

Before sending them to my custom model I resize the cropped faces to be of shape [1,224,224,3]

Output at every prediction:

...

ANSWER

Answered 2020-Sep-18 at 11:03

boxes of tf.image.cropAndResize are normalized coordinates between 0 and 1. Therefore topLeft and bottomRight should be normalized by using [imageWidth, imageHeight]

Source https://stackoverflow.com/questions/63941590

QUESTION

Size(27900) must match the product of shape 1,224,224,3

Asked 2020-Sep-16 at 15:45

I am passing tensors from BlazeFace which contain the cropped faces to my custom model for a classification task. The issue is that the dimensions do not match the input of my custom model which is trained using transfer learning and MobileNetV2. I realized I am trying to resize the cropped faces when they are smaller than the shape of my custom model. What can I do to make the cropped faces fit into the model?

...

ANSWER

Answered 2020-Sep-16 at 15:45

I needed to resize the cropped images not reshape them

Source https://stackoverflow.com/questions/63923009

QUESTION

How do I crop faces based on bounding boxes in Tensorflow.js?

Asked 2020-Sep-14 at 09:23

I need to crop faces which are detected in BlazeFace Model then send the image over to a custom model I made. I have already implemented the face detection with the bounding boxes but am stuck at cropping the face out.

I have the coordinates of the landmarks and the bottomRight and topLeft but I do not know how to do so. In python with tensorflow their exist functions to do so but with tensorflow.js I can't find anything for this.

Rendering Bounding Boxes on Face

...

ANSWER

Answered 2020-Sep-14 at 09:23

image can be cropped using tf.image.cropAndResize. The tensor should be a 4d tensor. If the image is a 3d tensor, it first needs to be expanded. The crop expected height and width should be passed as argument to copAndResize

Source https://stackoverflow.com/questions/63873576

QUESTION

Inconsistent behavior from getUserMedia in insecure context

Asked 2020-Mar-31 at 18:23

I am trying to build a Blazeface demo 1 myself, for the sake of learning. For example I use Webpack instead of yarn, and I drop e.g the Stats() and backend selector.

The original demo runs fine with yarn watch, but when I try to replicate the code and run webpack-dev-server I get a TypeError: Cannot set property 'srcObject' of undefined from the getUserMedia() call in the following function. The exception is thrown both in Chrome and Firefox.

Here is the Typescript function

...

ANSWER

Answered 2020-Mar-31 at 16:10

I solved the issue by changing "target": "es2017" to "target": "es6" in tsconfig.json.

Source https://stackoverflow.com/questions/60949169

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

Vulnerabilities

No vulnerabilities reported

Install BlazeFace

You can download it from GitHub.
You can use BlazeFace 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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